From 5539e7beec5406ba47de2a73ee64d4721b9ddc4d Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Wed, 17 Nov 2021 19:18:30 +0000 Subject: [PATCH] Update best-of list for version 2021.11.17 --- README.md | 6645 ++++++++++++++++--------------- history/2021-11-17_changes.md | 37 + history/2021-11-17_projects.csv | 887 +++++ latest-changes.md | 47 +- 4 files changed, 4281 insertions(+), 3335 deletions(-) create mode 100644 history/2021-11-17_changes.md create mode 100644 history/2021-11-17_projects.csv diff --git a/README.md b/README.md index bed1490d..29bf3a63 100644 --- a/README.md +++ b/README.md @@ -10,14 +10,14 @@

- +

-This curated list contains 880 awesome open-source projects with a total of 3M stars grouped into 33 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! +This curated list contains 890 awesome open-source projects with a total of 3.1M stars grouped into 33 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! --- @@ -39,14 +39,14 @@ This curated list contains 880 awesome open-source projects with a total of 3M s - [Audio Data](#audio-data) _27 projects_ - [Geospatial Data](#geospatial-data) _21 projects_ - [Financial Data](#financial-data) _23 projects_ -- [Time Series Data](#time-series-data) _22 projects_ +- [Time Series Data](#time-series-data) _23 projects_ - [Medical Data](#medical-data) _19 projects_ - [Tabular Data](#tabular-data) _3 projects_ - [Optical Character Recognition](#optical-character-recognition) _11 projects_ - [Data Containers & Structures](#data-containers--structures) _29 projects_ - [Data Loading & Extraction](#data-loading--extraction) _1 projects_ - [Web Scraping & Crawling](#web-scraping--crawling) _1 projects_ -- [Data Pipelines & Streaming](#data-pipelines--streaming) _41 projects_ +- [Data Pipelines & Streaming](#data-pipelines--streaming) _42 projects_ - [Distributed Machine Learning](#distributed-machine-learning) _29 projects_ - [Hyperparameter Optimization & AutoML](#hyperparameter-optimization--automl) _47 projects_ - [Reinforcement Learning](#reinforcement-learning) _21 projects_ @@ -99,499 +99,511 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (πŸ₯‡44 Β· ⭐ 160K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 3.8K Β· πŸ”€ 85K Β· πŸ“¦ 150K Β· πŸ“‹ 33K - 10% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 3.9K Β· πŸ”€ 86K Β· πŸ“¦ 170K Β· πŸ“‹ 34K - 8% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 11M / month Β· πŸ“¦ 23K Β· ⏱️ 11.08.2021): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 13M / month Β· πŸ“¦ 23K Β· ⏱️ 04.11.2021): ``` pip install tensorflow ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 2.8M Β· ⏱️ 30.04.2021): +- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 2.9M Β· ⏱️ 04.11.2021): ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 58M Β· ⭐ 1.9K Β· ⏱️ 26.08.2021): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 62M Β· ⭐ 2K Β· ⏱️ 17.11.2021): ``` docker pull tensorflow/tensorflow ```
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PyTorch (πŸ₯‡39 Β· ⭐ 50K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +
PyTorch (πŸ₯‡39 Β· ⭐ 52K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 2.8K Β· πŸ”€ 14K Β· πŸ“‹ 25K - 38% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 14K Β· πŸ“₯ 300 Β· πŸ“‹ 26K - 39% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 4.9M / month Β· πŸ“¦ 6.7K Β· ⏱️ 15.06.2021): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 6.4M / month Β· πŸ“¦ 6.7K Β· ⏱️ 21.10.2021): ``` pip install torch ``` -- [Conda](https://anaconda.org/pytorch/pytorch) (πŸ“₯ 12M Β· ⏱️ 15.06.2021): +- [Conda](https://anaconda.org/pytorch/pytorch) (πŸ“₯ 14M Β· ⏱️ 20.10.2021): ``` conda install -c pytorch pytorch ```
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scikit-learn (πŸ₯‡38 Β· ⭐ 47K) - scikit-learn: machine learning in Python. BSD-3 +
scikit-learn (πŸ₯‡38 Β· ⭐ 48K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 2.3K Β· πŸ”€ 22K Β· πŸ“₯ 720 Β· πŸ“¦ 260K Β· πŸ“‹ 9.4K - 25% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 2.4K Β· πŸ”€ 22K Β· πŸ“₯ 750 Β· πŸ“¦ 280K Β· πŸ“‹ 9.7K - 25% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 25M / month Β· πŸ“¦ 38K Β· ⏱️ 28.04.2021): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 25M / month Β· πŸ“¦ 38K Β· ⏱️ 25.10.2021): ``` pip install scikit-learn ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 9.1M Β· ⏱️ 08.08.2021): +- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 10M Β· ⏱️ 13.11.2021): ``` conda install -c conda-forge scikit-learn ```
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PySpark (πŸ₯‡37 Β· ⭐ 31K) - Apache Spark Python API. Apache-2 +
XGBoost (πŸ₯‡38 Β· ⭐ 22K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 2.5K Β· πŸ”€ 24K Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 540 Β· πŸ”€ 8.2K Β· πŸ“₯ 3.4K Β· πŸ“¦ 24K Β· πŸ“‹ 4.3K - 7% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/apache/spark + git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 13M / month Β· πŸ“¦ 760 Β· ⏱️ 27.05.2021): +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 8.8M / month Β· πŸ“¦ 1.6K Β· ⏱️ 17.10.2021): ``` - pip install pyspark + pip install xgboost ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 1.2M Β· ⏱️ 29.05.2021): +- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 2.1M Β· ⏱️ 24.10.2021): ``` - conda install -c conda-forge pyspark + conda install -c conda-forge xgboost ```
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XGBoost (πŸ₯‡37 Β· ⭐ 21K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 +
PySpark (πŸ₯‡37 Β· ⭐ 31K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 540 Β· πŸ”€ 8K Β· πŸ“₯ 2.9K Β· πŸ“¦ 21K Β· πŸ“‹ 4.2K - 7% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 2.6K Β· πŸ”€ 25K Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/dmlc/xgboost + git clone https://github.com/apache/spark ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 6.7M / month Β· πŸ“¦ 1.6K Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 15M / month Β· πŸ“¦ 760 Β· ⏱️ 18.10.2021): ``` - pip install xgboost + pip install pyspark ``` -- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 1.9M Β· ⏱️ 09.08.2021): +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 1.4M Β· ⏱️ 18.10.2021): ``` - conda install -c conda-forge xgboost + conda install -c conda-forge pyspark ```
LightGBM (πŸ₯‡36 Β· ⭐ 13K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.3K Β· πŸ“₯ 110K Β· πŸ“¦ 8.5K Β· πŸ“‹ 2.4K - 4% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 3.4K Β· πŸ“₯ 130K Β· πŸ“¦ 9.9K Β· πŸ“‹ 2.5K - 6% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 9.8M / month Β· πŸ“¦ 560 Β· ⏱️ 22.03.2021): +- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 13M / month Β· πŸ“¦ 560 Β· ⏱️ 27.10.2021): ``` pip install lightgbm ``` -- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 690K Β· ⏱️ 20.04.2021): +- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 800K Β· ⏱️ 14.11.2021): ``` conda install -c conda-forge lightgbm ```
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pytorch-lightning (πŸ₯ˆ35 Β· ⭐ 15K) - The lightweight PyTorch wrapper for high-performance.. Apache-2 +
pytorch-lightning (πŸ₯ˆ35 Β· ⭐ 16K) - The lightweight PyTorch wrapper for high-performance.. Apache-2 -- [GitHub](https://github.com/PyTorchLightning/pytorch-lightning) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 1.8K Β· πŸ“₯ 4.1K Β· πŸ“¦ 4.3K Β· πŸ“‹ 3.8K - 9% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/PyTorchLightning/pytorch-lightning) (πŸ‘¨β€πŸ’» 570 Β· πŸ”€ 2K Β· πŸ“₯ 4.7K Β· πŸ“¦ 5.5K Β· πŸ“‹ 4.2K - 9% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/PyTorchLightning/pytorch-lightning ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 730K / month Β· πŸ“¦ 14 Β· ⏱️ 24.08.2021): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 720K / month Β· πŸ“¦ 14 Β· ⏱️ 16.11.2021): ``` pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 240K Β· ⏱️ 24.08.2021): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 380K Β· ⏱️ 16.11.2021): ``` conda install -c conda-forge pytorch-lightning ```
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Theano (πŸ₯ˆ34 Β· ⭐ 9.5K) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +
Theano (πŸ₯ˆ35 Β· ⭐ 9.5K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 -- [GitHub](https://github.com/Theano/Theano) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 2.5K Β· πŸ“¦ 11K Β· πŸ“‹ 2.8K - 24% open Β· ⏱️ 13.04.2021): +- [GitHub](https://github.com/Theano/Theano) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 2.5K Β· πŸ“¦ 12K Β· πŸ“‹ 2.8K - 24% open Β· ⏱️ 13.04.2021): ``` git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 240K / month Β· πŸ“¦ 5.5K Β· ⏱️ 27.07.2020): +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 230K / month Β· πŸ“¦ 5.5K Β· ⏱️ 27.07.2020): ``` pip install theano ``` -- [Conda](https://anaconda.org/conda-forge/theano) (πŸ“₯ 1.7M Β· ⏱️ 05.06.2021): +- [Conda](https://anaconda.org/conda-forge/theano) (πŸ“₯ 1.8M Β· ⏱️ 10.11.2021): ``` conda install -c conda-forge theano ```
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MXNet (πŸ₯ˆ33 Β· ⭐ 20K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2 +
Thinc (πŸ₯ˆ34 Β· ⭐ 2.4K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/apache/incubator-mxnet) (πŸ‘¨β€πŸ’» 960 Β· πŸ”€ 6.9K Β· πŸ“₯ 24K Β· πŸ“‹ 9.6K - 20% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 220 Β· πŸ“¦ 17K Β· πŸ“‹ 120 - 15% open Β· ⏱️ 08.11.2021): ``` - git clone https://github.com/apache/incubator-mxnet + git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 370K / month Β· πŸ“¦ 440 Β· ⏱️ 31.03.2021): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 3.9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 05.11.2021): ``` - pip install mxnet + pip install thinc ``` -- [Conda](https://anaconda.org/anaconda/mxnet) (πŸ“₯ 6.4K Β· ⏱️ 29.02.2020): +- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 1.7M Β· ⏱️ 29.10.2021): ``` - conda install -c anaconda mxnet + conda install -c conda-forge thinc ```
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Fastai (πŸ₯ˆ32 Β· ⭐ 21K) - The fastai deep learning library. Apache-2 +
Fastai (πŸ₯ˆ33 Β· ⭐ 22K) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 7.1K Β· πŸ“‹ 1.5K - 6% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 7.1K Β· πŸ“‹ 1.5K - 6% open Β· ⏱️ 07.11.2021): ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 310K / month Β· πŸ“¦ 370 Β· ⏱️ 21.08.2021): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 490K / month Β· πŸ“¦ 370 Β· ⏱️ 23.10.2021): ``` pip install fastai ```
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StatsModels (πŸ₯ˆ32 Β· ⭐ 6.6K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +
MXNet (πŸ₯ˆ33 Β· ⭐ 20K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 2.3K Β· πŸ“₯ 25 Β· πŸ“¦ 48K Β· πŸ“‹ 4.5K - 47% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/apache/incubator-mxnet) (πŸ‘¨β€πŸ’» 970 Β· πŸ”€ 6.9K Β· πŸ“₯ 24K Β· πŸ“‹ 9.6K - 20% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/statsmodels/statsmodels + git clone https://github.com/apache/incubator-mxnet ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 5.5M / month Β· πŸ“¦ 6.7K Β· ⏱️ 02.02.2021): +- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 680K / month Β· πŸ“¦ 440 Β· ⏱️ 31.03.2021): ``` - pip install statsmodels + pip install mxnet ``` -- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 4.6M Β· ⏱️ 15.02.2021): +- [Conda](https://anaconda.org/anaconda/mxnet) (πŸ“₯ 6.7K Β· ⏱️ 29.02.2020): ``` - conda install -c conda-forge statsmodels + conda install -c anaconda mxnet ```
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Chainer (πŸ₯ˆ32 Β· ⭐ 5.6K) - A flexible framework of neural networks for deep learning. MIT +
StatsModels (πŸ₯ˆ33 Β· ⭐ 6.8K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/chainer/chainer) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.4K Β· πŸ“‹ 2K - 0% open Β· ⏱️ 10.06.2021): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 2.4K Β· πŸ“₯ 26 Β· πŸ“¦ 53K Β· πŸ“‹ 4.6K - 47% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/chainer/chainer + git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 26K / month Β· πŸ“¦ 740 Β· ⏱️ 10.06.2021): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 7M / month Β· πŸ“¦ 6.7K Β· ⏱️ 12.11.2021): ``` - pip install chainer + pip install statsmodels + ``` +- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 5.3M Β· ⏱️ 13.11.2021): + ``` + conda install -c conda-forge statsmodels ```
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Thinc (πŸ₯ˆ32 Β· ⭐ 2.3K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT +
PaddlePaddle (πŸ₯ˆ32 Β· ⭐ 17K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 210 Β· πŸ“¦ 15K Β· πŸ“‹ 110 - 15% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 4.1K Β· πŸ“₯ 15K Β· πŸ“¦ 77 Β· πŸ“‹ 15K - 19% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/explosion/thinc - ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 2.5M / month Β· πŸ“¦ 1.1K Β· ⏱️ 19.07.2021): - ``` - pip install thinc + git clone https://github.com/PaddlePaddle/Paddle ``` -- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 1.6M Β· ⏱️ 19.07.2021): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 71K / month Β· πŸ“¦ 16 Β· ⏱️ 03.11.2021): ``` - conda install -c conda-forge thinc + pip install paddlepaddle ```
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Keras (πŸ₯ˆ31 Β· ⭐ 52K) - Deep Learning for humans. Apache-2 +
Keras (πŸ₯ˆ31 Β· ⭐ 53K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 960 Β· πŸ”€ 19K Β· πŸ“‹ 11K - 3% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 19K Β· πŸ“‹ 11K - 2% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 4.5M / month Β· ⏱️ 09.08.2021): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 7.1M / month Β· ⏱️ 03.11.2021): ``` pip install keras ``` -- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 1.8M Β· ⏱️ 19.04.2021): +- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 1.9M Β· ⏱️ 17.11.2021): ``` conda install -c conda-forge keras ```
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PaddlePaddle (πŸ₯ˆ31 Β· ⭐ 16K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 - -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 610 Β· πŸ”€ 4K Β· πŸ“₯ 15K Β· πŸ“¦ 68 Β· πŸ“‹ 14K - 20% open Β· ⏱️ 26.08.2021): - - ``` - git clone https://github.com/PaddlePaddle/Paddle - ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 35K / month Β· πŸ“¦ 16 Β· ⏱️ 03.08.2021): - ``` - pip install paddlepaddle - ``` -
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jax (πŸ₯ˆ31 Β· ⭐ 14K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +
jax (πŸ₯ˆ31 Β· ⭐ 15K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.3K Β· πŸ“‹ 2.6K - 31% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.9K Β· πŸ“‹ 2.9K - 32% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 1.6M / month Β· πŸ“¦ 46 Β· ⏱️ 13.08.2021): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 5.3M / month Β· πŸ“¦ 46 Β· ⏱️ 10.11.2021): ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 180K Β· ⏱️ 24.08.2021): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 230K Β· ⏱️ 12.11.2021): ``` conda install -c conda-forge jaxlib ```
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Catboost (πŸ₯ˆ31 Β· ⭐ 6K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 +
Catboost (πŸ₯ˆ31 Β· ⭐ 6.2K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 860 Β· πŸ”€ 910 Β· πŸ“₯ 62K Β· πŸ“‹ 1.6K - 19% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 940 Β· πŸ“₯ 68K Β· πŸ“‹ 1.7K - 18% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2.6M / month Β· πŸ“¦ 160 Β· ⏱️ 05.08.2021): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2.9M / month Β· πŸ“¦ 160 Β· ⏱️ 04.11.2021): ``` pip install catboost ``` -- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 790K Β· ⏱️ 05.08.2021): +- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 860K Β· ⏱️ 09.11.2021): ``` conda install -c conda-forge catboost ```
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PyFlink (πŸ₯ˆ30 Β· ⭐ 17K) - Apache Flink Python API. Apache-2 +
Chainer (πŸ₯ˆ31 Β· ⭐ 5.6K) - A flexible framework of neural networks for deep learning. MIT -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 9.3K Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/chainer/chainer) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.4K Β· πŸ“‹ 2K - 0% open Β· ⏱️ 10.06.2021): ``` - git clone https://github.com/apache/flink + git clone https://github.com/chainer/chainer ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 15K / month Β· ⏱️ 02.08.2021): +- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 29K / month Β· πŸ“¦ 740 Β· ⏱️ 10.06.2021): ``` - pip install apache-flink + pip install chainer ```
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Sonnet (πŸ₯ˆ30 Β· ⭐ 9K) - TensorFlow-based neural network library. Apache-2 +
Jina (πŸ₯ˆ30 Β· ⭐ 12K) - Cloud-native neural search framework for kind of data. Apache-2 -- [GitHub](https://github.com/deepmind/sonnet) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 1.3K Β· πŸ“¦ 640 Β· πŸ“‹ 160 - 13% open Β· ⏱️ 13.08.2021): +- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“¦ 180 Β· πŸ“‹ 1.2K - 6% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/deepmind/sonnet + git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 1.3M / month Β· πŸ“¦ 82 Β· ⏱️ 27.03.2020): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 19K / month Β· ⏱️ 17.11.2021): ``` - pip install dm-sonnet + pip install jina ``` -- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 11K Β· ⏱️ 14.11.2020): +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 960K Β· ⭐ 6 Β· ⏱️ 17.11.2021): ``` - conda install -c conda-forge sonnet + docker pull jinaai/jina ```
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Vowpal Wabbit (πŸ₯ˆ30 Β· ⭐ 7.7K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 +
einops (πŸ₯ˆ30 Β· ⭐ 3.9K Β· πŸ“ˆ) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.7K Β· πŸ“¦ 160 Β· πŸ“‹ 1.1K - 14% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 150 Β· πŸ“¦ 1.4K Β· πŸ“‹ 83 - 36% open Β· ⏱️ 11.10.2021): ``` - git clone https://github.com/VowpalWabbit/vowpal_wabbit + git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 23K / month Β· πŸ“¦ 16 Β· ⏱️ 14.07.2021): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 5.1M / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2021): ``` - pip install vowpalwabbit + pip install einops + ``` +- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 8.7K Β· ⏱️ 31.08.2021): + ``` + conda install -c conda-forge einops + ``` +
+
PyFlink (πŸ₯ˆ29 Β· ⭐ 18K) - Apache Flink Python API. Apache-2 + +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 9.8K Β· ⏱️ 17.11.2021): + + ``` + git clone https://github.com/apache/flink + ``` +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 8K / month Β· ⏱️ 29.09.2021): + ``` + pip install apache-flink ```
TFlearn (πŸ₯ˆ29 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT -- [GitHub](https://github.com/tflearn/tflearn) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.4K Β· πŸ“¦ 3.5K Β· πŸ“‹ 920 - 60% open Β· ⏱️ 30.11.2020): +- [GitHub](https://github.com/tflearn/tflearn) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.4K Β· πŸ“¦ 3.6K Β· πŸ“‹ 920 - 60% open Β· ⏱️ 30.11.2020): ``` git clone https://github.com/tflearn/tflearn ``` -- [PyPi](https://pypi.org/project/tflearn) (πŸ“₯ 26K / month Β· πŸ“¦ 960 Β· ⏱️ 11.11.2020): +- [PyPi](https://pypi.org/project/tflearn) (πŸ“₯ 17K / month Β· πŸ“¦ 960 Β· ⏱️ 11.11.2020): ``` pip install tflearn ```
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Jina (πŸ₯ˆ29 Β· ⭐ 8.2K Β· πŸ“ˆ) - Cloud-native neural search framework for kind of data. Apache-2 +
Vowpal Wabbit (πŸ₯ˆ29 Β· ⭐ 7.8K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 -- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.1K Β· πŸ“¦ 130 Β· πŸ“‹ 1K - 8% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.8K Β· πŸ“‹ 1.1K - 15% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/jina-ai/jina - ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 16K / month Β· ⏱️ 26.08.2021): - ``` - pip install jina + git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 810K Β· ⭐ 4 Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 44K / month Β· πŸ“¦ 16 Β· ⏱️ 14.07.2021): ``` - docker pull jinaai/jina + pip install vowpalwabbit ```
tensorpack (πŸ₯ˆ29 Β· ⭐ 6.1K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2 -- [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 1.8K Β· πŸ“₯ 120 Β· πŸ“¦ 850 Β· πŸ“‹ 1.3K - 0% open Β· ⏱️ 10.08.2021): +- [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.8K Β· πŸ“₯ 130 Β· πŸ“¦ 900 Β· πŸ“‹ 1.3K - 0% open Β· ⏱️ 19.10.2021): ``` git clone https://github.com/tensorpack/tensorpack ``` -- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 17K / month Β· πŸ“¦ 76 Β· ⏱️ 22.01.2021): +- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 19K / month Β· πŸ“¦ 76 Β· ⏱️ 22.01.2021): ``` pip install tensorpack ```
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Ignite (πŸ₯‰28 Β· ⭐ 3.6K) - High-level library to help with training and evaluating neural.. BSD-3 +
Ignite (πŸ₯ˆ29 Β· ⭐ 3.8K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 480 Β· πŸ“‹ 900 - 14% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 510 Β· πŸ“‹ 970 - 14% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 71K / month Β· πŸ“¦ 62 Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 84K / month Β· πŸ“¦ 62 Β· ⏱️ 17.11.2021): ``` pip install pytorch-ignite ``` -- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 66K Β· ⏱️ 02.08.2021): +- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 73K Β· ⏱️ 19.10.2021): ``` conda install -c pytorch ignite ```
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dyNET (πŸ₯‰28 Β· ⭐ 3.2K Β· πŸ’€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 +
dyNET (πŸ₯‰28 Β· ⭐ 3.3K Β· πŸ’€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 -- [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 700 Β· πŸ“₯ 3.5K Β· πŸ“¦ 180 Β· πŸ“‹ 920 - 28% open Β· ⏱️ 27.01.2021): +- [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 700 Β· πŸ“₯ 4.1K Β· πŸ“¦ 190 Β· πŸ“‹ 920 - 28% open Β· ⏱️ 27.01.2021): ``` git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 15K / month Β· πŸ“¦ 38 Β· ⏱️ 21.10.2020): +- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 21K / month Β· πŸ“¦ 38 Β· ⏱️ 21.10.2020): ``` pip install dyNET ```
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skorch (πŸ₯‰27 Β· ⭐ 4.1K) - A scikit-learn compatible neural network library that wraps.. BSD-3 +
Flax (πŸ₯‰28 Β· ⭐ 2.3K) - Flax is a neural network library for JAX that is designed for.. Apache-2 jax -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 280 Β· πŸ“¦ 370 Β· πŸ“‹ 400 - 11% open Β· ⏱️ 29.07.2021): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 270 Β· πŸ“₯ 28 Β· πŸ“¦ 500 Β· πŸ“‹ 430 - 38% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/skorch-dev/skorch + git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 15K / month Β· πŸ“¦ 26 Β· ⏱️ 23.03.2021): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 5.1M / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2021): ``` - pip install skorch + pip install flax + ``` +
+
Sonnet (πŸ₯‰27 Β· ⭐ 9.1K Β· πŸ“‰) - TensorFlow-based neural network library. Apache-2 + +- [GitHub](https://github.com/deepmind/sonnet) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 1.3K Β· πŸ“¦ 710 Β· πŸ“‹ 170 - 13% open Β· ⏱️ 17.10.2021): + ``` -- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 350K Β· ⏱️ 24.03.2021): + git clone https://github.com/deepmind/sonnet ``` - conda install -c conda-forge skorch +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 310K / month Β· πŸ“¦ 82 Β· ⏱️ 27.03.2020): + ``` + pip install dm-sonnet + ``` +- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 12K Β· ⏱️ 14.11.2020): + ``` + conda install -c conda-forge sonnet ```
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Flax (πŸ₯‰27 Β· ⭐ 2.1K) - Flax is a neural network library for JAX that is designed for.. Apache-2 jax +
skorch (πŸ₯‰27 Β· ⭐ 4.2K) - A scikit-learn compatible neural network library that wraps.. BSD-3 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 240 Β· πŸ“₯ 26 Β· πŸ“¦ 360 Β· πŸ“‹ 400 - 42% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 300 Β· πŸ“¦ 410 Β· πŸ“‹ 420 - 13% open Β· ⏱️ 09.11.2021): ``` - git clone https://github.com/google/flax + git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 1.4M / month Β· πŸ“¦ 6 Β· ⏱️ 18.05.2021): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 17K / month Β· πŸ“¦ 26 Β· ⏱️ 31.10.2021): ``` - pip install flax + pip install skorch + ``` +- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 480K Β· ⏱️ 24.03.2021): + ``` + conda install -c conda-forge skorch ```
Turi Create (πŸ₯‰26 Β· ⭐ 10K) - Turi Create simplifies the development of custom machine learning.. BSD-3 -- [GitHub](https://github.com/apple/turicreate) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 1.1K Β· πŸ“₯ 4.8K Β· πŸ“¦ 260 Β· πŸ“‹ 1.8K - 27% open Β· ⏱️ 16.08.2021): +- [GitHub](https://github.com/apple/turicreate) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 1.1K Β· πŸ“₯ 4.9K Β· πŸ“¦ 280 Β· πŸ“‹ 1.8K - 27% open Β· ⏱️ 21.09.2021): ``` git clone https://github.com/apple/turicreate ``` -- [PyPi](https://pypi.org/project/turicreate) (πŸ“₯ 26K / month Β· πŸ“¦ 34 Β· ⏱️ 30.09.2020): +- [PyPi](https://pypi.org/project/turicreate) (πŸ“₯ 25K / month Β· πŸ“¦ 34 Β· ⏱️ 30.09.2020): ``` pip install turicreate ```
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ktrain (πŸ₯‰26 Β· ⭐ 880) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 +
ktrain (πŸ₯‰26 Β· ⭐ 920) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 -- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 220 Β· πŸ“¦ 210 Β· πŸ“‹ 360 - 1% open Β· ⏱️ 28.07.2021): +- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 220 Β· πŸ“¦ 240 Β· πŸ“‹ 370 - 1% open Β· ⏱️ 05.11.2021): ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 26K / month Β· πŸ“¦ 2 Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 30K / month Β· πŸ“¦ 2 Β· ⏱️ 05.11.2021): ``` pip install ktrain ```
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Ludwig (πŸ₯‰25 Β· ⭐ 7.9K) - Ludwig is a toolbox that allows to train and evaluate deep.. Apache-2 +
Ludwig (πŸ₯‰25 Β· ⭐ 8K) - Data-centric declarative deep learning framework. Apache-2 -- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 920 Β· πŸ“¦ 94 Β· πŸ“‹ 560 - 21% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 950 Β· πŸ“¦ 97 Β· πŸ“‹ 630 - 25% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 2.2K / month Β· πŸ“¦ 12 Β· ⏱️ 15.06.2021): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 4.7K / month Β· πŸ“¦ 12 Β· ⏱️ 15.06.2021): ``` pip install ludwig ```
mlpack (πŸ₯‰25 Β· ⭐ 3.8K) - mlpack: a scalable C++ machine learning library --. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.3K Β· πŸ“‹ 1.5K - 10% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.4K Β· πŸ“‹ 1.4K - 7% open Β· ⏱️ 14.11.2021): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 1K / month Β· ⏱️ 28.10.2020): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 220 / month Β· ⏱️ 28.10.2020): ``` pip install mlpack ``` -- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 87K Β· ⏱️ 07.07.2021): +- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 94K Β· ⏱️ 09.11.2021): ``` conda install -c conda-forge mlpack ```
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einops (πŸ₯‰25 Β· ⭐ 3.5K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT +
Neural Network Libraries (πŸ₯‰25 Β· ⭐ 2.5K) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 130 Β· πŸ“¦ 980 Β· πŸ“‹ 78 - 35% open Β· ⏱️ 04.06.2021): +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 300 Β· πŸ“₯ 530 Β· πŸ“‹ 74 - 41% open Β· ⏱️ 12.11.2021): ``` - git clone https://github.com/arogozhnikov/einops - ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 390K / month Β· πŸ“¦ 10 Β· ⏱️ 08.09.2020): - ``` - pip install einops + git clone https://github.com/sony/nnabla ``` -- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 6.4K Β· ⏱️ 15.10.2020): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.6K / month Β· πŸ“¦ 34 Β· ⏱️ 21.10.2021): ``` - conda install -c conda-forge einops + pip install nnabla ```
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Neural Network Libraries (πŸ₯‰25 Β· ⭐ 2.5K) - Neural Network Libraries. Apache-2 +
tensorflow-upstream (πŸ₯‰25 Β· ⭐ 570) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 300 Β· πŸ“₯ 530 Β· πŸ“‹ 68 - 42% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 3.9K Β· πŸ”€ 66 Β· πŸ“₯ 17 Β· πŸ“‹ 320 - 17% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/sony/nnabla + git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 4.2K / month Β· πŸ“¦ 34 Β· ⏱️ 26.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 1.7K / month Β· ⏱️ 14.10.2021): ``` - pip install nnabla + pip install tensorflow-rocm ```
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tensorflow-upstream (πŸ₯‰25 Β· ⭐ 570) - TensorFlow ROCm port. Apache-2 +
fklearn (πŸ₯‰23 Β· ⭐ 1.4K) - fklearn: Functional Machine Learning. Apache-2 -- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 3.8K Β· πŸ”€ 64 Β· πŸ“₯ 17 Β· πŸ“‹ 300 - 18% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/nubank/fklearn) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 150 Β· πŸ“¦ 10 Β· πŸ“‹ 40 - 47% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream + git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 3.7K / month Β· ⏱️ 16.08.2021): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 3.4K / month Β· ⏱️ 29.10.2021): ``` - pip install tensorflow-rocm + pip install fklearn ```
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SHOGUN (πŸ₯‰23 Β· ⭐ 2.8K Β· πŸ’€) - Unified and efficient Machine Learning. BSD-3 +
SHOGUN (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - Unified and efficient Machine Learning. BSD-3 -- [GitHub](https://github.com/shogun-toolbox/shogun) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1K Β· πŸ“‹ 1.6K - 29% open Β· ⏱️ 08.12.2020): +- [GitHub](https://github.com/shogun-toolbox/shogun) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1K Β· πŸ“‹ 1.5K - 28% open Β· ⏱️ 08.12.2020): ``` git clone https://github.com/shogun-toolbox/shogun @@ -605,85 +617,73 @@ _General-purpose machine learning and deep learning frameworks._ docker pull shogun/shogun ```
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Objax (πŸ₯‰22 Β· ⭐ 640) - Objax is a machine learning framework that provides an Object.. Apache-2 jax +
Neural Tangents (πŸ₯‰21 Β· ⭐ 1.6K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 51 Β· πŸ“¦ 15 Β· πŸ“‹ 96 - 41% open Β· ⏱️ 27.07.2021): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 180 Β· πŸ“₯ 160 Β· πŸ“¦ 26 Β· πŸ“‹ 100 - 30% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/google/objax + git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 3.2K / month Β· ⏱️ 01.04.2021): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 560 / month Β· ⏱️ 17.11.2021): ``` - pip install objax + pip install neural-tangents ```
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mace (πŸ₯‰21 Β· ⭐ 4.5K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 +
Objax (πŸ₯‰21 Β· ⭐ 660) - Objax is a machine learning framework that provides an Object.. Apache-2 jax -- [GitHub](https://github.com/XiaoMi/mace) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 770 Β· πŸ“₯ 1.4K Β· πŸ“‹ 650 - 6% open Β· ⏱️ 09.08.2021): +- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 56 Β· πŸ“¦ 17 Β· πŸ“‹ 96 - 41% open Β· ⏱️ 20.09.2021): ``` - git clone https://github.com/XiaoMi/mace + git clone https://github.com/google/objax + ``` +- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 6.5K / month Β· ⏱️ 01.04.2021): + ``` + pip install objax ```
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fklearn (πŸ₯‰21 Β· ⭐ 1.3K) - fklearn: Functional Machine Learning. Apache-2 +
mace (πŸ₯‰20 Β· ⭐ 4.5K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 -- [GitHub](https://github.com/nubank/fklearn) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 150 Β· πŸ“¦ 10 Β· πŸ“‹ 39 - 48% open Β· ⏱️ 28.04.2021): +- [GitHub](https://github.com/XiaoMi/mace) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 770 Β· πŸ“₯ 1.4K Β· πŸ“‹ 650 - 6% open Β· ⏱️ 09.11.2021): ``` - git clone https://github.com/nubank/fklearn - ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 3.4K / month Β· ⏱️ 09.02.2021): - ``` - pip install fklearn + git clone https://github.com/XiaoMi/mace ```
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Neural Tangents (πŸ₯‰20 Β· ⭐ 1.5K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 +
Haiku (πŸ₯‰20 Β· ⭐ 1.5K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 170 Β· πŸ“₯ 130 Β· πŸ“¦ 21 Β· πŸ“‹ 92 - 29% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 110 Β· πŸ“¦ 250 Β· πŸ“‹ 120 - 26% open Β· ⏱️ 11.11.2021): ``` - git clone https://github.com/google/neural-tangents - ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 780 / month Β· ⏱️ 23.08.2021): - ``` - pip install neural-tangents + git clone https://github.com/deepmind/dm-haiku ```
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ThunderSVM (πŸ₯‰19 Β· ⭐ 1.3K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 +
ThunderSVM (πŸ₯‰19 Β· ⭐ 1.3K Β· πŸ’€) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 -- [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 180 Β· πŸ“₯ 2.2K Β· πŸ“‹ 200 - 26% open Β· ⏱️ 10.02.2021): +- [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 180 Β· πŸ“₯ 2.3K Β· πŸ“‹ 200 - 27% open Β· ⏱️ 10.02.2021): ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 580 / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 570 / month Β· ⏱️ 13.03.2020): ``` pip install thundersvm ```
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Haiku (πŸ₯‰19 Β· ⭐ 1.3K) - JAX-based neural network library. Apache-2 - -- [GitHub](https://github.com/deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 97 Β· πŸ“¦ 160 Β· πŸ“‹ 100 - 23% open Β· ⏱️ 16.08.2021): - - ``` - git clone https://github.com/deepmind/dm-haiku - ``` -
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Torchbearer (πŸ₯‰19 Β· ⭐ 610) - torchbearer: A model fitting library for PyTorch. MIT +
Torchbearer (πŸ₯‰19 Β· ⭐ 610 Β· πŸ’€) - torchbearer: A model fitting library for PyTorch. MIT -- [GitHub](https://github.com/pytorchbearer/torchbearer) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 68 Β· πŸ“¦ 53 Β· πŸ“‹ 240 - 3% open Β· ⏱️ 26.03.2021): +- [GitHub](https://github.com/pytorchbearer/torchbearer) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 68 Β· πŸ“¦ 54 Β· πŸ“‹ 240 - 3% open Β· ⏱️ 26.03.2021): ``` git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 860 / month Β· πŸ“¦ 6 Β· ⏱️ 31.01.2020): +- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 900 / month Β· πŸ“¦ 6 Β· ⏱️ 31.01.2020): ``` pip install torchbearer ```
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NeoML (πŸ₯‰16 Β· ⭐ 640) - Machine learning framework for both deep learning and traditional.. Apache-2 +
NeoML (πŸ₯‰16 Β· ⭐ 660) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 90 Β· πŸ“‹ 48 - 58% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 97 Β· πŸ“‹ 50 - 56% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/neoml-lib/neoml @@ -691,28 +691,28 @@ _General-purpose machine learning and deep learning frameworks._
ThunderGBM (πŸ₯‰15 Β· ⭐ 610 Β· πŸ’€) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 -- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 79 Β· πŸ“‹ 50 - 44% open Β· ⏱️ 05.01.2021): +- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 80 Β· πŸ“‹ 57 - 49% open Β· ⏱️ 05.01.2021): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 120 / month Β· ⏱️ 01.05.2020): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 82 / month Β· ⏱️ 01.05.2020): ``` pip install thundergbm ```
Show 11 hidden projects... -- dlib (πŸ₯ˆ33 Β· ⭐ 10K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 -- CNTK (πŸ₯‰27 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT +- dlib (πŸ₯ˆ33 Β· ⭐ 11K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 +- CNTK (πŸ₯‰26 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - NuPIC (πŸ₯‰24 Β· ⭐ 6.3K Β· πŸ’€) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 - Lasagne (πŸ₯‰24 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT -- xLearn (πŸ₯‰24 Β· ⭐ 2.9K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 -- neon (πŸ₯‰23 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 +- xLearn (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - NeuPy (πŸ₯‰23 Β· ⭐ 690 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT -- MindsDB (πŸ₯‰20 Β· ⭐ 3.9K) - Predictive AI layer for existing databases. ❗️GPL-3.0 -- chefboost (πŸ₯‰20 Β· ⭐ 270) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT -- elegy (πŸ₯‰17 Β· ⭐ 250) - Elegy is a framework-agnostic Trainer interface for the Jax.. Apache-2 jax +- MindsDB (πŸ₯‰21 Β· ⭐ 4.1K) - Predictive AI layer for existing databases. ❗️GPL-3.0 +- chefboost (πŸ₯‰20 Β· ⭐ 280) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT +- neon (πŸ₯‰19 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 +- elegy (πŸ₯‰17 Β· ⭐ 290) - A High Level API for Deep Learning in JAX. MIT jax - StarSpace (πŸ₯‰13 Β· ⭐ 3.7K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT

@@ -723,652 +723,622 @@ _General-purpose machine learning and deep learning frameworks._ _General-purpose and task-specific data visualization libraries._ -
Matplotlib (πŸ₯‡42 Β· ⭐ 14K) - matplotlib: plotting with Python. Python-2.0 +
Matplotlib (πŸ₯‡38 Β· ⭐ 15K Β· πŸ“‰) - matplotlib: plotting with Python. Python-2.0 -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 6K Β· πŸ“¦ 420K Β· πŸ“‹ 8.1K - 20% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 6.2K Β· πŸ“¦ 460K Β· πŸ“‹ 8.3K - 20% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 30M / month Β· πŸ“¦ 79K Β· ⏱️ 24.08.2021): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 29M / month Β· πŸ“¦ 79K Β· ⏱️ 16.11.2021): ``` pip install matplotlib ``` -- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 9.6M Β· ⏱️ 17.08.2021): +- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 10M Β· ⏱️ 13.11.2021): ``` conda install -c conda-forge matplotlib ```
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Seaborn (πŸ₯‡38 Β· ⭐ 8.7K) - Statistical data visualization in Python. BSD-3 +
Seaborn (πŸ₯‡38 Β· ⭐ 8.9K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.5K Β· πŸ“₯ 190 Β· πŸ“¦ 110K Β· πŸ“‹ 1.9K - 4% open Β· ⏱️ 22.08.2021): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.5K Β· πŸ“₯ 210 Β· πŸ“¦ 120K Β· πŸ“‹ 1.9K - 5% open Β· ⏱️ 31.10.2021): ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 9.1M / month Β· πŸ“¦ 13K Β· ⏱️ 16.08.2021): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 11M / month Β· πŸ“¦ 13K Β· ⏱️ 16.08.2021): ``` pip install seaborn ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 2.7M Β· ⏱️ 16.08.2021): +- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 3.1M Β· ⏱️ 16.08.2021): ``` conda install -c conda-forge seaborn ```
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Plotly (πŸ₯‡36 Β· ⭐ 10K) - The interactive graphing library for Python (includes Plotly Express). MIT +
Plotly (πŸ₯‡36 Β· ⭐ 11K) - The interactive graphing library for Python (includes Plotly Express). MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.9K Β· πŸ“¦ 5 Β· πŸ“‹ 2.1K - 45% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2K Β· πŸ“¦ 5 Β· πŸ“‹ 2.2K - 46% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 7.4M / month Β· πŸ“¦ 5K Β· ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 12M / month Β· πŸ“¦ 5K Β· ⏱️ 15.11.2021): ``` pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 1.7M Β· ⏱️ 23.08.2021): +- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 2.1M Β· ⏱️ 15.11.2021): ``` conda install -c conda-forge plotly ``` -- [NPM](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 45K / month Β· πŸ“¦ 4 Β· ⏱️ 12.01.2021): +- [NPM](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 55K / month Β· πŸ“¦ 4 Β· ⏱️ 12.01.2021): ``` npm install plotlywidget ```
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Bokeh (πŸ₯‡33 Β· ⭐ 15K) - Interactive Data Visualization in the browser, from Python. BSD-3 - -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 570 Β· πŸ”€ 3.8K Β· πŸ“¦ 38K Β· πŸ“‹ 6.7K - 10% open Β· ⏱️ 26.08.2021): - - ``` - git clone https://github.com/bokeh/bokeh - ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 1.7M / month Β· πŸ“¦ 5.9K Β· ⏱️ 18.08.2021): - ``` - pip install bokeh - ``` -- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 5.2M Β· ⏱️ 20.08.2021): - ``` - conda install -c conda-forge bokeh - ``` -
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dash (πŸ₯‡33 Β· ⭐ 15K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required. MIT +
pandas-profiling (πŸ₯‡34 Β· ⭐ 8.2K) - Create HTML profiling reports from pandas DataFrame.. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 1.5K Β· πŸ“¦ 140 Β· πŸ“‹ 1.1K - 43% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/pandas-profiling/pandas-profiling) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 1.2K Β· πŸ“¦ 5.8K Β· πŸ“‹ 520 - 17% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/plotly/dash + git clone https://github.com/pandas-profiling/pandas-profiling ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 640K / month Β· πŸ“¦ 1.6K Β· ⏱️ 24.08.2021): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 6.4M / month Β· πŸ“¦ 160 Β· ⏱️ 27.09.2021): ``` - pip install dash + pip install pandas-profiling ``` -- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 280K Β· ⏱️ 25.07.2021): +- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 180K Β· ⏱️ 28.09.2021): ``` - conda install -c conda-forge dash + conda install -c conda-forge pandas-profiling ```
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pandas-profiling (πŸ₯ˆ32 Β· ⭐ 7.8K) - Create HTML profiling reports from pandas DataFrame.. MIT +
Bokeh (πŸ₯‡33 Β· ⭐ 16K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/pandas-profiling/pandas-profiling) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 1.1K Β· πŸ“¦ 5K Β· πŸ“‹ 480 - 17% open Β· ⏱️ 27.06.2021): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 3.8K Β· πŸ“¦ 41K Β· πŸ“‹ 6.8K - 10% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/pandas-profiling/pandas-profiling + git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 1.4M / month Β· πŸ“¦ 160 Β· ⏱️ 11.05.2021): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 2M / month Β· πŸ“¦ 5.9K Β· ⏱️ 28.10.2021): ``` - pip install pandas-profiling + pip install bokeh ``` -- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 160K Β· ⏱️ 12.05.2021): +- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 6M Β· ⏱️ 12.11.2021): ``` - conda install -c conda-forge pandas-profiling + conda install -c conda-forge bokeh ```
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wordcloud (πŸ₯ˆ31 Β· ⭐ 8.3K) - A little word cloud generator in Python. MIT +
dash (πŸ₯‡33 Β· ⭐ 15K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required. MIT -- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 2.1K Β· πŸ“‹ 450 - 22% open Β· ⏱️ 01.03.2021): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.6K Β· πŸ“¦ 150 Β· πŸ“‹ 1.2K - 46% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/amueller/word_cloud + git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 610K / month Β· πŸ“¦ 1.1K Β· ⏱️ 11.11.2020): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 870K / month Β· πŸ“¦ 1.6K Β· ⏱️ 04.09.2021): ``` - pip install wordcloud + pip install dash ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 230K Β· ⏱️ 14.01.2021): +- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 320K Β· ⏱️ 21.09.2021): ``` - conda install -c conda-forge wordcloud + conda install -c conda-forge dash ```
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Altair (πŸ₯ˆ31 Β· ⭐ 6.9K) - Declarative statistical visualization library for Python. BSD-3 +
Altair (πŸ₯‡33 Β· ⭐ 7.1K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 610 Β· πŸ“¦ 15K Β· πŸ“‹ 1.6K - 14% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 630 Β· πŸ“¦ 18K Β· πŸ“‹ 1.6K - 15% open Β· ⏱️ 12.11.2021): ``` git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 2.3M / month Β· πŸ“¦ 370 Β· ⏱️ 01.04.2020): +- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 3.4M / month Β· πŸ“¦ 370 Β· ⏱️ 01.04.2020): ``` pip install altair ``` -- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 860K Β· ⏱️ 01.04.2020): +- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 1M Β· ⏱️ 01.04.2020): ``` conda install -c conda-forge altair ```
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pyecharts (πŸ₯ˆ30 Β· ⭐ 11K) - Python Echarts Plotting Library. MIT +
pyecharts (πŸ₯ˆ32 Β· ⭐ 12K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 2.5K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.5K - 1% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 2.6K Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.5K - 1% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 37K / month Β· πŸ“¦ 280 Β· ⏱️ 29.10.2020): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 75K / month Β· πŸ“¦ 280 Β· ⏱️ 16.11.2021): ``` pip install pyecharts ```
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UMAP (πŸ₯ˆ30 Β· ⭐ 5K) - Uniform Manifold Approximation and Projection. BSD-3 +
UMAP (πŸ₯ˆ32 Β· ⭐ 5.2K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 540 Β· πŸ“¦ 3.5K Β· πŸ“‹ 540 - 49% open Β· ⏱️ 10.08.2021): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 580 Β· πŸ“¦ 4K Β· πŸ“‹ 590 - 51% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 680K / month Β· πŸ“¦ 230 Β· ⏱️ 08.02.2021): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.6M / month Β· πŸ“¦ 230 Β· ⏱️ 29.10.2021): ``` pip install umap-learn ```
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missingno (πŸ₯ˆ30 Β· ⭐ 2.9K) - Missing data visualization module for Python. MIT +
wordcloud (πŸ₯ˆ31 Β· ⭐ 8.4K) - A little word cloud generator in Python. MIT -- [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 370 Β· πŸ“¦ 4.7K Β· πŸ“‹ 110 - 8% open Β· ⏱️ 04.07.2021): +- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.1K Β· πŸ“‹ 470 - 23% open Β· ⏱️ 13.11.2021): ``` - git clone https://github.com/ResidentMario/missingno + git clone https://github.com/amueller/word_cloud ``` -- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 490K / month Β· πŸ“¦ 150 Β· ⏱️ 04.07.2021): +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 710K / month Β· πŸ“¦ 1.1K Β· ⏱️ 11.11.2020): ``` - pip install missingno + pip install wordcloud ``` -- [Conda](https://anaconda.org/conda-forge/missingno) (πŸ“₯ 120K Β· ⏱️ 15.02.2020): +- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 250K Β· ⏱️ 15.11.2021): ``` - conda install -c conda-forge missingno + conda install -c conda-forge wordcloud + ``` +
+
Graphviz (πŸ₯ˆ31 Β· ⭐ 1.1K) - Simple Python interface for Graphviz. MIT + +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 160 Β· πŸ“¦ 26K Β· πŸ“‹ 120 - 5% open Β· ⏱️ 17.11.2021): + + ``` + git clone https://github.com/xflr6/graphviz + ``` +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 8.4M / month Β· πŸ“¦ 4.4K Β· ⏱️ 15.11.2021): + ``` + pip install graphviz ```
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PyQtGraph (πŸ₯ˆ30 Β· ⭐ 2.5K) - Fast data visualization and GUI tools for scientific / engineering.. MIT +
PyQtGraph (πŸ₯ˆ30 Β· ⭐ 2.6K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 860 Β· πŸ“‹ 910 - 31% open Β· ⏱️ 17.08.2021): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 900 Β· πŸ“‹ 970 - 31% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 69K / month Β· πŸ“¦ 890 Β· ⏱️ 08.07.2021): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 89K / month Β· πŸ“¦ 890 Β· ⏱️ 11.10.2021): ``` pip install pyqtgraph ``` -- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 190K Β· ⏱️ 08.07.2021): +- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 210K Β· ⏱️ 11.10.2021): ``` conda install -c conda-forge pyqtgraph ```
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Graphviz (πŸ₯ˆ30 Β· ⭐ 1K) - Simple Python interface for Graphviz. MIT +
missingno (πŸ₯ˆ29 Β· ⭐ 3K) - Missing data visualization module for Python. MIT -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 150 Β· πŸ“¦ 23K Β· πŸ“‹ 110 - 7% open Β· ⏱️ 31.07.2021): +- [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 380 Β· πŸ“¦ 5.4K Β· πŸ“‹ 110 - 8% open Β· ⏱️ 04.07.2021): ``` - git clone https://github.com/xflr6/graphviz + git clone https://github.com/ResidentMario/missingno ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 6.6M / month Β· πŸ“¦ 4.4K Β· ⏱️ 14.07.2021): +- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 750K / month Β· πŸ“¦ 150 Β· ⏱️ 04.07.2021): ``` - pip install graphviz + pip install missingno + ``` +- [Conda](https://anaconda.org/conda-forge/missingno) (πŸ“₯ 140K Β· ⏱️ 15.02.2020): + ``` + conda install -c conda-forge missingno ```
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datashader (πŸ₯ˆ29 Β· ⭐ 2.6K Β· πŸ“ˆ) - Quickly and accurately render even the largest data. BSD-3 +
datashader (πŸ₯ˆ29 Β· ⭐ 2.7K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 330 Β· πŸ“¦ 780 Β· πŸ“‹ 470 - 25% open Β· ⏱️ 05.06.2021): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 330 Β· πŸ“¦ 870 Β· πŸ“‹ 480 - 26% open Β· ⏱️ 03.11.2021): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 97K / month Β· πŸ“¦ 70 Β· ⏱️ 09.06.2021): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 46K / month Β· πŸ“¦ 70 Β· ⏱️ 09.06.2021): ``` pip install datashader ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 210K Β· ⏱️ 10.06.2021): +- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 240K Β· ⏱️ 10.06.2021): ``` conda install -c conda-forge datashader ```
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Cufflinks (πŸ₯ˆ29 Β· ⭐ 2.3K) - Productivity Tools for Plotly + Pandas. MIT +
Cufflinks (πŸ₯ˆ29 Β· ⭐ 2.4K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT -- [GitHub](https://github.com/santosjorge/cufflinks) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 540 Β· πŸ“¦ 4.1K Β· πŸ“‹ 200 - 39% open Β· ⏱️ 25.02.2021): +- [GitHub](https://github.com/santosjorge/cufflinks) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 550 Β· πŸ“¦ 4.7K Β· πŸ“‹ 200 - 39% open Β· ⏱️ 25.02.2021): ``` git clone https://github.com/santosjorge/cufflinks ``` -- [PyPi](https://pypi.org/project/cufflinks) (πŸ“₯ 210K / month Β· πŸ“¦ 230 Β· ⏱️ 01.03.2020): +- [PyPi](https://pypi.org/project/cufflinks) (πŸ“₯ 280K / month Β· πŸ“¦ 230 Β· ⏱️ 01.03.2020): ``` pip install cufflinks ```
HoloViews (πŸ₯ˆ29 Β· ⭐ 2K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 320 Β· πŸ“‹ 2.7K - 29% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“‹ 2.7K - 29% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 190K / month Β· πŸ“¦ 170 Β· ⏱️ 16.07.2021): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 270K / month Β· πŸ“¦ 170 Β· ⏱️ 17.09.2021): ``` pip install holoviews ``` -- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 560K Β· ⏱️ 19.07.2021): +- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 610K Β· ⏱️ 17.09.2021): ``` conda install -c conda-forge holoviews ``` -- [NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 4.6K / month Β· ⏱️ 24.05.2020): +- [NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 3.7K / month Β· ⏱️ 24.05.2020): ``` npm install @pyviz/jupyterlab_pyviz ```
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bqplot (πŸ₯ˆ28 Β· ⭐ 3.1K) - Plotting library for IPython/Jupyter notebooks. Apache-2 +
bqplot (πŸ₯ˆ28 Β· ⭐ 3.2K) - Plotting library for IPython/Jupyter notebooks. Apache-2 -- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 410 Β· πŸ“¦ 27 Β· πŸ“‹ 540 - 35% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 440 Β· πŸ“¦ 28 Β· πŸ“‹ 570 - 38% open Β· ⏱️ 21.10.2021): ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 63K / month Β· πŸ“¦ 110 Β· ⏱️ 16.07.2021): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 65K / month Β· πŸ“¦ 110 Β· ⏱️ 01.10.2021): ``` pip install bqplot ``` -- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 740K Β· ⏱️ 16.07.2021): +- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 890K Β· ⏱️ 01.10.2021): ``` conda install -c conda-forge bqplot ``` -- [NPM](https://www.npmjs.com/package/bqplot) (πŸ“₯ 13K / month Β· πŸ“¦ 10 Β· ⏱️ 16.07.2021): +- [NPM](https://www.npmjs.com/package/bqplot) (πŸ“₯ 16K / month Β· πŸ“¦ 10 Β· ⏱️ 01.10.2021): ``` npm install bqplot ```
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data-validation (πŸ₯ˆ28 Β· ⭐ 570) - Library for exploring and validating machine learning.. Apache-2 +
data-validation (πŸ₯ˆ28 Β· ⭐ 590) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 100 Β· πŸ“₯ 280 Β· πŸ“¦ 320 Β· πŸ“‹ 130 - 28% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“₯ 290 Β· πŸ“¦ 350 Β· πŸ“‹ 150 - 25% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/tensorflow/data-validation ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 8.5M / month Β· πŸ“¦ 18 Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 8.9M / month Β· πŸ“¦ 18 Β· ⏱️ 27.10.2021): ``` pip install tensorflow-data-validation ```
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Perspective (πŸ₯ˆ27 Β· ⭐ 3.5K) - Streaming pivot visualization via WebAssembly. Apache-2 +
Perspective (πŸ₯ˆ27 Β· ⭐ 3.9K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 390 Β· πŸ“¦ 200 Β· πŸ“‹ 440 - 17% open Β· ⏱️ 16.08.2021): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 410 Β· πŸ“¦ 220 Β· πŸ“‹ 460 - 13% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 1.9K / month Β· πŸ“¦ 8 Β· ⏱️ 08.07.2021): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 1.8K / month Β· πŸ“¦ 8 Β· ⏱️ 02.11.2021): ``` pip install perspective-python ``` -- [NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 2.4K / month Β· ⏱️ 12.08.2021): +- [NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 1.7K / month Β· ⏱️ 31.10.2021): ``` npm install @finos/perspective-jupyterlab ```
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PyVista (πŸ₯ˆ27 Β· ⭐ 900) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT +
PyVista (πŸ₯ˆ27 Β· ⭐ 1K) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 170 Β· πŸ“₯ 210 Β· πŸ“¦ 420 Β· πŸ“‹ 550 - 27% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 190 Β· πŸ“₯ 370 Β· πŸ“¦ 520 Β· πŸ“‹ 600 - 30% open Β· ⏱️ 13.11.2021): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 21K / month Β· πŸ“¦ 26 Β· ⏱️ 23.06.2021): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 29K / month Β· πŸ“¦ 26 Β· ⏱️ 11.09.2021): ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 110K Β· ⏱️ 24.06.2021): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 130K Β· ⏱️ 12.09.2021): ``` conda install -c conda-forge pyvista ```
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Facets Overview (πŸ₯‰26 Β· ⭐ 6.7K) - Visualizations for machine learning datasets. Apache-2 +
hvPlot (πŸ₯ˆ27 Β· ⭐ 470) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 830 Β· πŸ“¦ 62 Β· πŸ“‹ 150 - 50% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 60 Β· πŸ“¦ 900 Β· πŸ“‹ 400 - 34% open Β· ⏱️ 06.10.2021): ``` - git clone https://github.com/pair-code/facets + git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 120K / month Β· πŸ“¦ 6 Β· ⏱️ 24.07.2019): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 120K / month Β· πŸ“¦ 30 Β· ⏱️ 23.07.2021): ``` - pip install facets-overview + pip install hvplot + ``` +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 140K Β· ⏱️ 23.07.2021): + ``` + conda install -c conda-forge hvplot + ``` +
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D-Tale (πŸ₯‰26 Β· ⭐ 2.8K) - Visualizer for pandas data structures. ❗️LGPL-2.1 + +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 220 Β· πŸ“¦ 260 Β· πŸ“‹ 430 - 8% open Β· ⏱️ 17.11.2021): + + ``` + git clone https://github.com/man-group/dtale + ``` +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 56K / month Β· ⏱️ 16.11.2021): + ``` + pip install dtale + ``` +- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 96K Β· ⏱️ 16.11.2021): + ``` + conda install -c conda-forge dtale ```
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VisPy (πŸ₯‰26 Β· ⭐ 2.7K) - High-performance interactive 2D/3D data visualization library. BSD-3 +
VisPy (πŸ₯‰26 Β· ⭐ 2.8K) - High-performance interactive 2D/3D data visualization library. BSD-3 -- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 570 Β· πŸ“¦ 560 Β· πŸ“‹ 1.2K - 27% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 580 Β· πŸ“¦ 630 Β· πŸ“‹ 1.3K - 26% open Β· ⏱️ 10.11.2021): ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 31K / month Β· πŸ“¦ 120 Β· ⏱️ 20.08.2021): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 36K / month Β· πŸ“¦ 120 Β· ⏱️ 27.10.2021): ``` pip install vispy ``` -- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 170K Β· ⏱️ 20.08.2021): +- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 190K Β· ⏱️ 05.11.2021): ``` conda install -c conda-forge vispy ``` -- [NPM](https://www.npmjs.com/package/vispy) (πŸ“₯ 61 / month Β· ⏱️ 15.03.2020): +- [NPM](https://www.npmjs.com/package/vispy) (πŸ“₯ 13 / month Β· ⏱️ 15.03.2020): ``` npm install vispy ```
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HyperTools (πŸ₯‰26 Β· ⭐ 1.7K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT +
Facets Overview (πŸ₯‰25 Β· ⭐ 6.7K) - Visualizations for machine learning datasets. Apache-2 -- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“₯ 2 Β· πŸ“¦ 140 Β· πŸ“‹ 190 - 35% open Β· ⏱️ 19.07.2021): +- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 830 Β· πŸ“¦ 76 Β· πŸ“‹ 150 - 50% open Β· ⏱️ 06.05.2021): ``` - git clone https://github.com/ContextLab/hypertools + git clone https://github.com/pair-code/facets ``` -- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 2.3K / month Β· πŸ“¦ 9 Β· ⏱️ 15.06.2021): +- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 200K / month Β· πŸ“¦ 6 Β· ⏱️ 24.07.2019): ``` - pip install hypertools + pip install facets-overview ```
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D-Tale (πŸ₯‰25 Β· ⭐ 2.6K) - Visualizer for pandas data structures. ❗️LGPL-2.1 +
HyperTools (πŸ₯‰25 Β· ⭐ 1.7K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 220 Β· πŸ“‹ 400 - 9% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“₯ 4 Β· πŸ“¦ 150 Β· πŸ“‹ 190 - 35% open Β· ⏱️ 19.07.2021): ``` - git clone https://github.com/man-group/dtale - ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 14K / month Β· ⏱️ 18.08.2021): - ``` - pip install dtale + git clone https://github.com/ContextLab/hypertools ``` -- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 79K Β· ⏱️ 18.08.2021): +- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 1.3K / month Β· πŸ“¦ 9 Β· ⏱️ 15.06.2021): ``` - conda install -c conda-forge dtale + pip install hypertools ```
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pythreejs (πŸ₯‰25 Β· ⭐ 750) - A Jupyter - Three.js bridge. BSD-3 +
pythreejs (πŸ₯‰25 Β· ⭐ 770 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 -- [GitHub](https://github.com/jupyter-widgets/pythreejs) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“¦ 18 Β· πŸ“‹ 200 - 30% open Β· ⏱️ 26.02.2021): +- [GitHub](https://github.com/jupyter-widgets/pythreejs) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“¦ 19 Β· πŸ“‹ 210 - 31% open Β· ⏱️ 26.02.2021): ``` git clone https://github.com/jupyter-widgets/pythreejs ``` -- [PyPi](https://pypi.org/project/pythreejs) (πŸ“₯ 42K / month Β· πŸ“¦ 26 Β· ⏱️ 26.02.2021): +- [PyPi](https://pypi.org/project/pythreejs) (πŸ“₯ 40K / month Β· πŸ“¦ 26 Β· ⏱️ 26.02.2021): ``` pip install pythreejs ``` -- [Conda](https://anaconda.org/conda-forge/pythreejs) (πŸ“₯ 330K Β· ⏱️ 02.03.2021): +- [Conda](https://anaconda.org/conda-forge/pythreejs) (πŸ“₯ 350K Β· ⏱️ 02.03.2021): ``` conda install -c conda-forge pythreejs ``` -- [NPM](https://www.npmjs.com/package/jupyter-threejs) (πŸ“₯ 7.4K / month Β· πŸ“¦ 8 Β· ⏱️ 26.02.2021): +- [NPM](https://www.npmjs.com/package/jupyter-threejs) (πŸ“₯ 6.4K / month Β· πŸ“¦ 8 Β· ⏱️ 26.02.2021): ``` npm install jupyter-threejs ```
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PDPbox (πŸ₯‰25 Β· ⭐ 600) - python partial dependence plot toolbox. MIT +
Chartify (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Python library that makes it easy for data scientists to create.. Apache-2 -- [GitHub](https://github.com/SauceCat/PDPbox) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 94 Β· πŸ“¦ 420 Β· πŸ“‹ 58 - 34% open Β· ⏱️ 14.03.2021): +- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 270 Β· πŸ“¦ 58 Β· πŸ“‹ 72 - 58% open Β· ⏱️ 05.02.2021): ``` - git clone https://github.com/SauceCat/PDPbox + git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 74K / month Β· πŸ“¦ 34 Β· ⏱️ 14.03.2021): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2.3K / month Β· πŸ“¦ 5 Β· ⏱️ 02.11.2020): ``` - pip install pdpbox + pip install chartify ``` -- [Conda](https://anaconda.org/conda-forge/pdpbox) (πŸ“₯ 9K Β· ⏱️ 14.03.2021): +- [Conda](https://anaconda.org/conda-forge/chartify) (πŸ“₯ 17K Β· ⏱️ 07.11.2020): ``` - conda install -c conda-forge pdpbox + conda install -c conda-forge chartify ```
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hvPlot (πŸ₯‰25 Β· ⭐ 440) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 +
PandasGUI (πŸ₯‰24 Β· ⭐ 2.5K) - A GUI for Pandas DataFrames. MIT -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 59 Β· πŸ“¦ 730 Β· πŸ“‹ 380 - 33% open Β· ⏱️ 05.08.2021): +- [GitHub](https://github.com/adamerose/PandasGUI) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 150 Β· πŸ“¦ 110 Β· πŸ“‹ 140 - 22% open Β· ⏱️ 25.09.2021): ``` - git clone https://github.com/holoviz/hvplot - ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 32K / month Β· πŸ“¦ 30 Β· ⏱️ 23.07.2021): - ``` - pip install hvplot + git clone https://github.com/adamerose/pandasgui ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 110K Β· ⏱️ 23.07.2021): +- [PyPi](https://pypi.org/project/pandasgui) (πŸ“₯ 6.5K / month Β· πŸ“¦ 2 Β· ⏱️ 14.08.2021): ``` - conda install -c conda-forge hvplot + pip install pandasgui ```
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openTSNE (πŸ₯‰24 Β· ⭐ 870) - Extensible, parallel implementations of t-SNE. BSD-3 +
openTSNE (πŸ₯‰24 Β· ⭐ 910) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 91 Β· πŸ“¦ 240 Β· πŸ“‹ 94 - 8% open Β· ⏱️ 06.06.2021): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 99 Β· πŸ“¦ 260 Β· πŸ“‹ 97 - 2% open Β· ⏱️ 25.10.2021): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 19K / month Β· πŸ“¦ 4 Β· ⏱️ 25.04.2021): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 36K / month Β· πŸ“¦ 4 Β· ⏱️ 25.10.2021): ``` pip install opentsne ``` -- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 120K Β· ⏱️ 09.08.2021): +- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 120K Β· ⏱️ 13.11.2021): ``` conda install -c conda-forge opentsne ```
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Chartify (πŸ₯‰23 Β· ⭐ 3K) - Python library that makes it easy for data scientists to create charts. Apache-2 +
FiftyOne (πŸ₯‰24 Β· ⭐ 800) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 260 Β· πŸ“¦ 57 Β· πŸ“‹ 70 - 57% open Β· ⏱️ 05.02.2021): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 93 Β· πŸ“¦ 53 Β· πŸ“‹ 590 - 31% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/spotify/chartify - ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 1.8K / month Β· πŸ“¦ 5 Β· ⏱️ 02.11.2020): + git clone https://github.com/voxel51/fiftyone ``` - pip install chartify +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 12K / month Β· ⏱️ 16.11.2021): ``` -- [Conda](https://anaconda.org/conda-forge/chartify) (πŸ“₯ 16K Β· ⏱️ 07.11.2020): - ``` - conda install -c conda-forge chartify + pip install fiftyone ```
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PandasGUI (πŸ₯‰23 Β· ⭐ 2.3K) - A GUI for Pandas DataFrames. MIT +
Pandas-Bokeh (πŸ₯‰23 Β· ⭐ 730) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT -- [GitHub](https://github.com/adamerose/PandasGUI) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 90 Β· πŸ“‹ 130 - 20% open Β· ⏱️ 14.08.2021): +- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 91 Β· πŸ“¦ 240 Β· πŸ“‹ 90 - 26% open Β· ⏱️ 10.05.2021): ``` - git clone https://github.com/adamerose/pandasgui + git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` -- [PyPi](https://pypi.org/project/pandasgui) (πŸ“₯ 7.6K / month Β· πŸ“¦ 2 Β· ⏱️ 14.08.2021): +- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 9K / month Β· πŸ“¦ 10 Β· ⏱️ 11.04.2021): ``` - pip install pandasgui + pip install pandas-bokeh ```
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Multicore-TSNE (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - Parallel t-SNE implementation with Python and Torch.. BSD-3 +
PDPbox (πŸ₯‰23 Β· ⭐ 630 Β· πŸ’€) - python partial dependence plot toolbox. MIT -- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 200 Β· πŸ“¦ 250 Β· πŸ“‹ 57 - 64% open Β· ⏱️ 19.08.2020): +- [GitHub](https://github.com/SauceCat/PDPbox) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 450 Β· πŸ“‹ 58 - 34% open Β· ⏱️ 14.03.2021): ``` - git clone https://github.com/DmitryUlyanov/Multicore-TSNE - ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 4.2K / month Β· πŸ“¦ 28 Β· ⏱️ 09.01.2019): - ``` - pip install MulticoreTSNE - ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 9.6K Β· ⏱️ 23.04.2021): - ``` - conda install -c conda-forge multicore-tsne + git clone https://github.com/SauceCat/PDPbox ``` -
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Pandas-Bokeh (πŸ₯‰23 Β· ⭐ 710) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - -- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 86 Β· πŸ“¦ 210 Β· πŸ“‹ 87 - 26% open Β· ⏱️ 10.05.2021): - +- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 74K / month Β· πŸ“¦ 34 Β· ⏱️ 14.03.2021): ``` - git clone https://github.com/PatrikHlobil/Pandas-Bokeh + pip install pdpbox ``` -- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 9K / month Β· πŸ“¦ 10 Β· ⏱️ 11.04.2021): +- [Conda](https://anaconda.org/conda-forge/pdpbox) (πŸ“₯ 10K Β· ⏱️ 14.03.2021): ``` - pip install pandas-bokeh + conda install -c conda-forge pdpbox ```
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python-ternary (πŸ₯‰23 Β· ⭐ 450) - Ternary plotting library for python with matplotlib. MIT +
python-ternary (πŸ₯‰23 Β· ⭐ 490) - Ternary plotting library for python with matplotlib. MIT -- [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 120 Β· πŸ“₯ 17 Β· πŸ“¦ 67 Β· πŸ“‹ 110 - 21% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 130 Β· πŸ“₯ 17 Β· πŸ“¦ 74 Β· πŸ“‹ 120 - 21% open Β· ⏱️ 21.10.2021): ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 14K / month Β· πŸ“¦ 20 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 19K / month Β· πŸ“¦ 20 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` -- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 58K Β· ⏱️ 17.02.2021): +- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 60K Β· ⏱️ 17.02.2021): ``` conda install -c conda-forge python-ternary ```
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vega (πŸ₯‰23 Β· ⭐ 310) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 +
vega (πŸ₯‰23 Β· ⭐ 320) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 -- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 46 Β· πŸ“‹ 91 - 12% open Β· ⏱️ 02.08.2021): +- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 51 Β· πŸ“‹ 95 - 14% open Β· ⏱️ 02.11.2021): ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 28K / month Β· πŸ“¦ 150 Β· ⏱️ 03.06.2021): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 23K / month Β· πŸ“¦ 150 Β· ⏱️ 03.06.2021): ``` pip install vega ``` -- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 450K Β· ⏱️ 11.08.2021): +- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 460K Β· ⏱️ 11.08.2021): ``` conda install -c conda-forge vega ```
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lets-plot (πŸ₯‰22 Β· ⭐ 660) - An open-source plotting library for statistical data. MIT +
lets-plot (πŸ₯‰22 Β· ⭐ 700) - An open-source plotting library for statistical data. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 26 Β· πŸ“₯ 100 Β· πŸ“¦ 11 Β· πŸ“‹ 190 - 34% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 31 Β· πŸ“₯ 130 Β· πŸ“¦ 12 Β· πŸ“‹ 210 - 33% open Β· ⏱️ 13.11.2021): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 3.9K / month Β· ⏱️ 16.08.2021): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 2.6K / month Β· ⏱️ 29.10.2021): ``` pip install lets-plot ```
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FiftyOne (πŸ₯‰22 Β· ⭐ 560) - Visualize, create, and debug image and video datasets.. Apache-2 +
AutoViz (πŸ₯‰22 Β· ⭐ 540) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 64 Β· πŸ“¦ 13 Β· πŸ“‹ 500 - 29% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 87 Β· πŸ“¦ 110 Β· πŸ“‹ 37 - 16% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/voxel51/fiftyone + git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 7.4K / month Β· ⏱️ 25.08.2021): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 25K / month Β· ⏱️ 17.11.2021): ``` - pip install fiftyone + pip install autoviz ```
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PyWaffle (πŸ₯‰22 Β· ⭐ 440) - Make Waffle Charts in Python. MIT +
PyWaffle (πŸ₯‰22 Β· ⭐ 460) - Make Waffle Charts in Python. MIT -- [GitHub](https://github.com/gyli/PyWaffle) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 74 Β· πŸ“¦ 81 Β· πŸ“‹ 13 - 15% open Β· ⏱️ 28.07.2021): +- [GitHub](https://github.com/gyli/PyWaffle) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 78 Β· πŸ“¦ 96 Β· πŸ“‹ 14 - 21% open Β· ⏱️ 28.07.2021): ``` git clone https://github.com/gyli/PyWaffle ``` -- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 2K / month Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 1.9K / month Β· ⏱️ 28.07.2021): ``` pip install pywaffle ```
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Sweetviz (πŸ₯‰21 Β· ⭐ 1.7K) - Visualize and compare datasets, target values and associations, with one.. MIT +
Sweetviz (πŸ₯‰21 Β· ⭐ 1.8K) - Visualize and compare datasets, target values and associations, with one.. MIT -- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 170 Β· πŸ“‹ 85 - 27% open Β· ⏱️ 08.07.2021): +- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 180 Β· πŸ“‹ 96 - 28% open Β· ⏱️ 08.07.2021): ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 24K / month Β· ⏱️ 08.07.2021): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 58K / month Β· ⏱️ 08.07.2021): ``` pip install sweetviz ```
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AutoViz (πŸ₯‰21 Β· ⭐ 460) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 - -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 80 Β· πŸ“¦ 82 Β· πŸ“‹ 30 - 13% open Β· ⏱️ 01.07.2021): - - ``` - git clone https://github.com/AutoViML/AutoViz - ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 4.1K / month Β· ⏱️ 01.07.2021): - ``` - pip install autoviz - ``` -
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joypy (πŸ₯‰21 Β· ⭐ 340) - Joyplots in Python with matplotlib & pandas. MIT +
HiPlot (πŸ₯‰20 Β· ⭐ 2.2K) - HiPlot makes understanding high dimensional data easy. MIT -- [GitHub](https://github.com/leotac/joypy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 36 Β· πŸ“¦ 91 Β· πŸ“‹ 43 - 16% open Β· ⏱️ 13.06.2021): - - ``` - git clone https://github.com/leotac/joypy - ``` -- [PyPi](https://pypi.org/project/joypy) (πŸ“₯ 19K / month Β· πŸ“¦ 6 Β· ⏱️ 28.12.2020): - ``` - pip install joypy - ``` -- [Conda](https://anaconda.org/conda-forge/joypy) (πŸ“₯ 11K Β· ⏱️ 28.12.2020): - ``` - conda install -c conda-forge joypy - ``` -
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HiPlot (πŸ₯‰19 Β· ⭐ 2.2K) - HiPlot makes understanding high dimensional data easy. MIT - -- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 98 Β· πŸ“¦ 2 Β· πŸ“‹ 68 - 16% open Β· ⏱️ 13.08.2021): +- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 3 Β· πŸ“‹ 71 - 14% open Β· ⏱️ 05.11.2021): ``` git clone https://github.com/facebookresearch/hiplot ``` -- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 11K / month Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 12K / month Β· ⏱️ 05.11.2021): ``` pip install hiplot ``` -- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 63K Β· ⏱️ 28.07.2021): +- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 71K Β· ⏱️ 05.11.2021): ``` conda install -c conda-forge hiplot ```
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animatplot (πŸ₯‰18 Β· ⭐ 380 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT +
joypy (πŸ₯‰20 Β· ⭐ 350) - Joyplots in Python with matplotlib & pandas. MIT -- [GitHub](https://github.com/t-makaro/animatplot) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 34 Β· πŸ“¦ 25 Β· πŸ“‹ 33 - 51% open Β· ⏱️ 05.10.2020): +- [GitHub](https://github.com/leotac/joypy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 41 Β· πŸ“¦ 110 Β· πŸ“‹ 45 - 20% open Β· ⏱️ 13.06.2021): ``` - git clone https://github.com/t-makaro/animatplot + git clone https://github.com/leotac/joypy ``` -- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 340 / month Β· πŸ“¦ 2 Β· ⏱️ 05.10.2020): +- [PyPi](https://pypi.org/project/joypy) (πŸ“₯ 23K / month Β· πŸ“¦ 6 Β· ⏱️ 28.12.2020): ``` - pip install animatplot + pip install joypy ``` -- [Conda](https://anaconda.org/conda-forge/animatplot) (πŸ“₯ 6.5K Β· ⏱️ 06.10.2020): +- [Conda](https://anaconda.org/conda-forge/joypy) (πŸ“₯ 12K Β· ⏱️ 28.12.2020): ``` - conda install -c conda-forge animatplot + conda install -c conda-forge joypy ```
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Show 8 hidden projects... +
Show 10 hidden projects... -- plotnine (πŸ₯ˆ28 Β· ⭐ 2.8K) - A grammar of graphics for Python. ❗️GPL-2.0 -- cartopy (πŸ₯ˆ27 Β· ⭐ 910) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 -- pivottablejs (πŸ₯‰21 Β· ⭐ 440 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT -- ivis (πŸ₯‰20 Β· ⭐ 240) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 -- pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT -- nx-altair (πŸ₯‰16 Β· ⭐ 170 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT -- data-describe (πŸ₯‰15 Β· ⭐ 280) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 -- nptsne (πŸ₯‰14 Β· ⭐ 25) - nptsne is a numpy compatible python binary package that offers a number.. Apache-2 +- cartopy (πŸ₯ˆ28 Β· ⭐ 960) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 +- plotnine (πŸ₯ˆ27 Β· ⭐ 2.8K) - A grammar of graphics for Python. ❗️GPL-2.0 +- Multicore-TSNE (πŸ₯‰24 Β· ⭐ 1.7K Β· πŸ’€) - Parallel t-SNE implementation with Python and Torch.. BSD-3 +- pivottablejs (πŸ₯‰21 Β· ⭐ 450 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT +- ivis (πŸ₯‰19 Β· ⭐ 250) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 +- animatplot (πŸ₯‰18 Β· ⭐ 390 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT +- pdvega (πŸ₯‰17 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT +- nx-altair (πŸ₯‰16 Β· ⭐ 180 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT +- data-describe (πŸ₯‰14 Β· ⭐ 290 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 +- nptsne (πŸ₯‰14 Β· ⭐ 27 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

@@ -1378,677 +1348,653 @@ _General-purpose and task-specific data visualization libraries._ _Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._ -
transformers (πŸ₯‡37 Β· ⭐ 50K) - Transformers: State-of-the-art Natural Language.. Apache-2 +
transformers (πŸ₯‡39 Β· ⭐ 54K) - Transformers: State-of-the-art Natural Language.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 970 Β· πŸ”€ 12K Β· πŸ“₯ 1.4K Β· πŸ“¦ 15K Β· πŸ“‹ 7.7K - 5% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 13K Β· πŸ“₯ 1.4K Β· πŸ“¦ 19K Β· πŸ“‹ 8.2K - 5% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 3.5M / month Β· πŸ“¦ 130 Β· ⏱️ 09.08.2021): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 3.4M / month Β· πŸ“¦ 130 Β· ⏱️ 17.11.2021): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 63K Β· ⏱️ 09.08.2021): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 83K Β· ⏱️ 17.11.2021): ``` conda install -c conda-forge transformers ```
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spaCy (πŸ₯‡37 Β· ⭐ 21K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +
spaCy (πŸ₯‡38 Β· ⭐ 22K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 610 Β· πŸ”€ 3.6K Β· πŸ“₯ 3.1K Β· πŸ“¦ 29K Β· πŸ“‹ 4.8K - 1% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 3.6K Β· πŸ“₯ 3.1K Β· πŸ“¦ 32K Β· πŸ“‹ 4.9K - 1% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 2.7M / month Β· πŸ“¦ 3.1K Β· ⏱️ 20.08.2021): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 4.1M / month Β· πŸ“¦ 3.1K Β· ⏱️ 05.11.2021): ``` pip install spacy ``` -- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 2.3M Β· ⏱️ 25.08.2021): +- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 2.4M Β· ⏱️ 08.11.2021): ``` conda install -c conda-forge spacy ```
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gensim (πŸ₯‡36 Β· ⭐ 12K) - Topic Modelling for Humans. ❗️LGPL-2.1 +
gensim (πŸ₯‡36 Β· ⭐ 13K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 4K Β· πŸ“₯ 3.5K Β· πŸ“¦ 26K Β· πŸ“‹ 1.7K - 21% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 4.1K Β· πŸ“₯ 3.5K Β· πŸ“¦ 28K Β· πŸ“‹ 1.7K - 21% open Β· ⏱️ 28.10.2021): ``` git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 9.4M / month Β· πŸ“¦ 4.7K Β· ⏱️ 25.03.2021): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 12M / month Β· πŸ“¦ 4.7K Β· ⏱️ 17.09.2021): ``` pip install gensim ``` -- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 710K Β· ⏱️ 15.06.2021): +- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 750K Β· ⏱️ 09.11.2021): ``` conda install -c conda-forge gensim ```
nltk (πŸ₯‡35 Β· ⭐ 10K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 -- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 2.5K Β· πŸ“¦ 110K Β· πŸ“‹ 1.5K - 15% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 2.5K Β· πŸ“¦ 120K Β· πŸ“‹ 1.6K - 14% open Β· ⏱️ 12.11.2021): ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 12M / month Β· πŸ“¦ 21K Β· ⏱️ 07.04.2021): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 9.3M / month Β· πŸ“¦ 21K Β· ⏱️ 11.10.2021): ``` pip install nltk ``` -- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 850K Β· ⏱️ 20.04.2021): +- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 1.1M Β· ⏱️ 11.10.2021): ``` conda install -c conda-forge nltk ```
flair (πŸ₯‡32 Β· ⭐ 11K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT -- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.7K Β· πŸ“¦ 910 Β· πŸ“‹ 1.6K - 5% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.7K Β· πŸ“¦ 1K Β· πŸ“‹ 1.7K - 5% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 74K / month Β· πŸ“¦ 48 Β· ⏱️ 08.03.2021): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 74K / month Β· πŸ“¦ 48 Β· ⏱️ 29.08.2021): ``` pip install flair ```
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AllenNLP (πŸ₯‡32 Β· ⭐ 10K) - An open-source NLP research library, built on PyTorch. Apache-2 +
AllenNLP (πŸ₯‡32 Β· ⭐ 11K) - An open-source NLP research library, built on PyTorch. Apache-2 -- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2.1K Β· πŸ“₯ 43 Β· πŸ“¦ 1.9K Β· πŸ“‹ 2.4K - 3% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2.1K Β· πŸ“₯ 43 Β· πŸ“¦ 2.1K Β· πŸ“‹ 2.5K - 4% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/allenai/allennlp ``` -- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 40K / month Β· πŸ“¦ 230 Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 48K / month Β· πŸ“¦ 230 Β· ⏱️ 01.11.2021): ``` pip install allennlp ```
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ChatterBot (πŸ₯‡31 Β· ⭐ 11K Β· πŸ“‰) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 +
TextBlob (πŸ₯‡32 Β· ⭐ 7.9K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT -- [GitHub](https://github.com/gunthercox/ChatterBot) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 3.8K Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.5K - 18% open Β· ⏱️ 01.06.2021): +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 1K Β· πŸ“₯ 97 Β· πŸ“¦ 16K Β· πŸ“‹ 250 - 38% open Β· ⏱️ 22.10.2021): ``` - git clone https://github.com/gunthercox/ChatterBot - ``` -- [PyPi](https://pypi.org/project/chatterbot) (πŸ“₯ 59K / month Β· πŸ“¦ 680 Β· ⏱️ 22.08.2020): + git clone https://github.com/sloria/TextBlob ``` - pip install chatterbot +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 780K / month Β· πŸ“¦ 2.5K Β· ⏱️ 22.10.2021): ``` -
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sentence-transformers (πŸ₯‡31 Β· ⭐ 5.9K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 - -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 1.1K Β· πŸ“¦ 1.5K Β· πŸ“‹ 1K - 48% open Β· ⏱️ 24.08.2021): - - ``` - git clone https://github.com/UKPLab/sentence-transformers + pip install textblob ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 490K / month Β· ⏱️ 24.06.2021): +- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 140K Β· ⏱️ 24.02.2019): ``` - pip install sentence-transformers + conda install -c conda-forge textblob ```
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sentencepiece (πŸ₯‡31 Β· ⭐ 5.3K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 +
ChatterBot (πŸ₯‡31 Β· ⭐ 12K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 700 Β· πŸ“₯ 16K Β· πŸ“¦ 9.5K Β· πŸ“‹ 470 - 6% open Β· ⏱️ 02.07.2021): +- [GitHub](https://github.com/gunthercox/ChatterBot) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 3.9K Β· πŸ“¦ 4K Β· πŸ“‹ 1.5K - 19% open Β· ⏱️ 01.06.2021): ``` - git clone https://github.com/google/sentencepiece - ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 3.1M / month Β· πŸ“¦ 240 Β· ⏱️ 18.06.2021): - ``` - pip install sentencepiece + git clone https://github.com/gunthercox/ChatterBot ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 86K Β· ⏱️ 09.02.2021): +- [PyPi](https://pypi.org/project/chatterbot) (πŸ“₯ 57K / month Β· πŸ“¦ 680 Β· ⏱️ 22.08.2020): ``` - conda install -c conda-forge sentencepiece + pip install chatterbot ```
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fairseq (πŸ₯ˆ30 Β· ⭐ 14K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT +
sentence-transformers (πŸ₯‡31 Β· ⭐ 6.4K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/pytorch/fairseq) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 3.4K Β· πŸ“₯ 140 Β· πŸ“¦ 500 Β· πŸ“‹ 2.9K - 31% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 1.2K Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.2K - 49% open Β· ⏱️ 12.11.2021): ``` - git clone https://github.com/pytorch/fairseq + git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 33K / month Β· πŸ“¦ 20 Β· ⏱️ 05.01.2021): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 480K / month Β· ⏱️ 01.10.2021): ``` - pip install fairseq + pip install sentence-transformers ```
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TextBlob (πŸ₯ˆ30 Β· ⭐ 7.8K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT +
sentencepiece (πŸ₯‡31 Β· ⭐ 5.5K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 1K Β· πŸ“₯ 94 Β· πŸ“¦ 14K Β· πŸ“‹ 240 - 36% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 720 Β· πŸ“₯ 18K Β· πŸ“¦ 11K Β· πŸ“‹ 480 - 9% open Β· ⏱️ 02.07.2021): ``` - git clone https://github.com/sloria/TextBlob + git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 640K / month Β· πŸ“¦ 2.5K Β· ⏱️ 24.02.2019): +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 2.8M / month Β· πŸ“¦ 240 Β· ⏱️ 18.06.2021): ``` - pip install textblob + pip install sentencepiece ``` -- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 130K Β· ⏱️ 24.02.2019): +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 120K Β· ⏱️ 05.11.2021): ``` - conda install -c conda-forge textblob + conda install -c conda-forge sentencepiece ```
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Tokenizers (πŸ₯ˆ29 Β· ⭐ 4.8K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +
snowballstemmer (πŸ₯ˆ30 Β· ⭐ 530) - Snowball compiler and stemming algorithms. BSD-3 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 370 Β· πŸ“¦ 36 Β· πŸ“‹ 490 - 27% open Β· ⏱️ 13.08.2021): +- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 150 Β· πŸ“¦ 4 Β· πŸ“‹ 69 - 36% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/huggingface/tokenizers + git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 3.9M / month Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 5.5M / month Β· πŸ“¦ 13K Β· ⏱️ 16.11.2021): ``` - pip install tokenizers + pip install snowballstemmer ``` -- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 79K Β· ⏱️ 10.03.2021): +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 3.4M Β· ⏱️ 17.11.2021): ``` - conda install -c conda-forge tokenizers + conda install -c conda-forge snowballstemmer ```
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Dedupe (πŸ₯ˆ29 Β· ⭐ 3.1K) - A python library for accurate and scalable fuzzy matching, record.. MIT +
ParlAI (πŸ₯ˆ29 Β· ⭐ 8.4K) - A framework for training and evaluating AI models on a variety of.. MIT -- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 430 Β· πŸ“¦ 200 Β· πŸ“‹ 660 - 9% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.7K Β· πŸ“¦ 49 Β· πŸ“‹ 1.2K - 8% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/dedupeio/dedupe + git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 120K / month Β· πŸ“¦ 78 Β· ⏱️ 17.04.2021): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 2.5K / month Β· ⏱️ 12.10.2021): ``` - pip install dedupe + pip install parlai ```
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snowballstemmer (πŸ₯ˆ29 Β· ⭐ 520) - Snowball compiler and stemming algorithms. BSD-3 +
TensorFlow Text (πŸ₯ˆ29 Β· ⭐ 840) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 140 Β· πŸ“¦ 4 Β· πŸ“‹ 62 - 30% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 150 Β· πŸ“¦ 1.1K Β· πŸ“‹ 180 - 36% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/snowballstem/snowball - ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 5.3M / month Β· πŸ“¦ 13K Β· ⏱️ 21.01.2021): - ``` - pip install snowballstemmer + git clone https://github.com/tensorflow/text ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 3M Β· ⏱️ 21.01.2021): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 1.3M / month Β· πŸ“¦ 4 Β· ⏱️ 12.11.2021): ``` - conda install -c conda-forge snowballstemmer + pip install tensorflow-text ```
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Rasa (πŸ₯ˆ28 Β· ⭐ 13K) - Open source machine learning framework to automate text- and voice-.. Apache-2 +
DeepPavlov (πŸ₯ˆ28 Β· ⭐ 5.5K) - An open source library for deep learning end-to-end dialog.. Apache-2 -- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 3.6K Β· πŸ“‹ 5.8K - 12% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/deepmipt/DeepPavlov) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 980 Β· πŸ“¦ 230 Β· πŸ“‹ 610 - 23% open Β· ⏱️ 28.09.2021): ``` - git clone https://github.com/RasaHQ/rasa + git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 170K / month Β· πŸ“¦ 64 Β· ⏱️ 19.08.2021): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 9.4K / month Β· πŸ“¦ 8 Β· ⏱️ 28.09.2021): ``` - pip install rasa + pip install deeppavlov ```
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ParlAI (πŸ₯ˆ28 Β· ⭐ 8.2K) - A framework for training and evaluating AI models on a variety of.. MIT +
OpenNMT (πŸ₯ˆ28 Β· ⭐ 5.3K) - Open Source Neural Machine Translation in PyTorch. MIT -- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.6K Β· πŸ“¦ 38 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2K Β· πŸ“¦ 120 Β· πŸ“‹ 1.3K - 9% open Β· ⏱️ 04.11.2021): ``` - git clone https://github.com/facebookresearch/ParlAI + git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 4.2K / month Β· ⏱️ 25.08.2021): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 4.7K / month Β· πŸ“¦ 4 Β· ⏱️ 14.09.2021): ``` - pip install parlai + pip install OpenNMT-py ```
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DeepPavlov (πŸ₯ˆ28 Β· ⭐ 5.4K) - An open source library for deep learning end-to-end dialog.. Apache-2 +
Tokenizers (πŸ₯ˆ28 Β· ⭐ 5K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/deepmipt/DeepPavlov) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 970 Β· πŸ“¦ 210 Β· πŸ“‹ 590 - 21% open Β· ⏱️ 02.08.2021): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 400 Β· πŸ“¦ 38 Β· πŸ“‹ 520 - 27% open Β· ⏱️ 07.10.2021): ``` - git clone https://github.com/deepmipt/DeepPavlov + git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 11K / month Β· πŸ“¦ 8 Β· ⏱️ 02.08.2021): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 4.1M / month Β· ⏱️ 24.05.2021): ``` - pip install deeppavlov + pip install tokenizers + ``` +- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 100K Β· ⏱️ 22.09.2021): + ``` + conda install -c conda-forge tokenizers ```
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OpenNMT (πŸ₯ˆ28 Β· ⭐ 5.2K) - Open Source Neural Machine Translation in PyTorch. MIT +
Dedupe (πŸ₯ˆ28 Β· ⭐ 3.2K) - A python library for accurate and scalable fuzzy matching, record.. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.9K Β· πŸ“¦ 100 Β· πŸ“‹ 1.3K - 8% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 430 Β· πŸ“¦ 200 Β· πŸ“‹ 660 - 9% open Β· ⏱️ 14.10.2021): ``` - git clone https://github.com/OpenNMT/OpenNMT-py + git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 4.2K / month Β· πŸ“¦ 4 Β· ⏱️ 30.04.2021): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 230K / month Β· πŸ“¦ 78 Β· ⏱️ 17.04.2021): ``` - pip install OpenNMT-py + pip install dedupe ```
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ftfy (πŸ₯ˆ28 Β· ⭐ 3K) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT +
ftfy (πŸ₯ˆ28 Β· ⭐ 3.1K) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT -- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 100 Β· πŸ“¦ 3.8K Β· πŸ“‹ 120 - 10% open Β· ⏱️ 17.05.2021): +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 100 Β· πŸ“¦ 4.3K Β· πŸ“‹ 120 - 8% open Β· ⏱️ 17.05.2021): ``` git clone https://github.com/LuminosoInsight/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 960K / month Β· πŸ“¦ 760 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 870K / month Β· πŸ“¦ 760 Β· ⏱️ 24.05.2021): ``` pip install ftfy ``` -- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 120K Β· ⏱️ 25.05.2021): +- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 130K Β· ⏱️ 25.05.2021): ``` conda install -c conda-forge ftfy ```
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torchtext (πŸ₯ˆ28 Β· ⭐ 2.8K) - Data loaders and abstractions for text and NLP. BSD-3 +
torchtext (πŸ₯ˆ28 Β· ⭐ 2.9K) - Data loaders and abstractions for text and NLP. BSD-3 -- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 650 Β· πŸ“‹ 650 - 48% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 660 Β· πŸ“‹ 670 - 50% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 120K / month Β· πŸ“¦ 680 Β· ⏱️ 15.06.2021): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 130K / month Β· πŸ“¦ 680 Β· ⏱️ 21.10.2021): ``` pip install torchtext ```
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TensorFlow Text (πŸ₯ˆ28 Β· ⭐ 800) - Making text a first-class citizen in TensorFlow. Apache-2 +
TextDistance (πŸ₯ˆ28 Β· ⭐ 2.6K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 120 Β· πŸ“¦ 920 Β· πŸ“‹ 170 - 38% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 200 Β· πŸ“₯ 330 Β· πŸ“¦ 1.3K Β· ⏱️ 27.10.2021): ``` - git clone https://github.com/tensorflow/text - ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 2M / month Β· πŸ“¦ 4 Β· ⏱️ 17.08.2021): + git clone https://github.com/life4/textdistance ``` - pip install tensorflow-text +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 260K / month Β· πŸ“¦ 28 Β· ⏱️ 27.10.2021): ``` -
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GluonNLP (πŸ₯ˆ27 Β· ⭐ 2.3K) - Toolkit that enables easy text preprocessing, datasets loading.. Apache-2 - -- [GitHub](https://github.com/dmlc/gluon-nlp) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 510 Β· πŸ“¦ 560 Β· πŸ“‹ 550 - 46% open Β· ⏱️ 24.08.2021): - - ``` - git clone https://github.com/dmlc/gluon-nlp + pip install textdistance ``` -- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 77K / month Β· πŸ“¦ 22 Β· ⏱️ 13.08.2020): +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 63K Β· ⏱️ 27.10.2021): ``` - pip install gluonnlp + conda install -c conda-forge textdistance ```
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spark-nlp (πŸ₯ˆ27 Β· ⭐ 2.3K) - State of the Art Natural Language Processing. Apache-2 +
fairseq (πŸ₯ˆ27 Β· ⭐ 15K Β· πŸ“‰) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 480 Β· πŸ“‹ 540 - 14% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/pytorch/fairseq) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 3.7K Β· πŸ“₯ 150 Β· πŸ“¦ 580 Β· πŸ“‹ 3.1K - 35% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/JohnSnowLabs/spark-nlp + git clone https://github.com/pytorch/fairseq ``` -- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 1M / month Β· ⏱️ 11.08.2021): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 34K / month Β· πŸ“¦ 20 Β· ⏱️ 05.01.2021): ``` - pip install spark-nlp + pip install fairseq ```
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jellyfish (πŸ₯ˆ27 Β· ⭐ 1.5K) - a python library for doing approximate and phonetic matching of.. BSD-2 +
Rasa (πŸ₯ˆ27 Β· ⭐ 13K) - Open source machine learning framework to automate text- and voice-.. Apache-2 -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 140 Β· πŸ“¦ 2.7K Β· πŸ“‹ 100 - 9% open Β· ⏱️ 17.08.2021): +- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 3.8K Β· πŸ“‹ 6.3K - 14% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/jamesturk/jellyfish - ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 1.3M / month Β· πŸ“¦ 650 Β· ⏱️ 17.08.2021): - ``` - pip install jellyfish + git clone https://github.com/RasaHQ/rasa ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 140K Β· ⏱️ 08.01.2021): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 210K / month Β· πŸ“¦ 64 Β· ⏱️ 15.11.2021): ``` - conda install -c conda-forge jellyfish + pip install rasa ```
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vaderSentiment (πŸ₯ˆ26 Β· ⭐ 3.1K) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and.. MIT +
nlpaug (πŸ₯ˆ27 Β· ⭐ 2.7K) - Data augmentation for NLP. MIT -- [GitHub](https://github.com/cjhutto/vaderSentiment) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 800 Β· πŸ“¦ 2.9K Β· πŸ“‹ 110 - 30% open Β· ⏱️ 15.03.2021): +- [GitHub](https://github.com/makcedward/nlpaug) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 300 Β· πŸ“¦ 200 Β· πŸ“‹ 150 - 20% open Β· ⏱️ 19.10.2021): ``` - git clone https://github.com/cjhutto/vaderSentiment + git clone https://github.com/makcedward/nlpaug ``` -- [PyPi](https://pypi.org/project/vadersentiment) (πŸ“₯ 140K / month Β· πŸ“¦ 290 Β· ⏱️ 22.05.2020): +- [PyPi](https://pypi.org/project/nlpaug) (πŸ“₯ 37K / month Β· πŸ“¦ 2 Β· ⏱️ 19.10.2021): ``` - pip install vadersentiment + pip install nlpaug ```
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haystack (πŸ₯ˆ26 Β· ⭐ 2.3K) - End-to-end Python framework for building natural language search.. Apache-2 +
spark-nlp (πŸ₯ˆ27 Β· ⭐ 2.5K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 450 Β· πŸ“¦ 74 Β· πŸ“‹ 790 - 14% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 510 Β· πŸ“‹ 590 - 14% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/deepset-ai/haystack + git clone https://github.com/JohnSnowLabs/spark-nlp ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 1.8K / month Β· πŸ“¦ 170 Β· ⏱️ 03.07.2017): +- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 1.3M / month Β· ⏱️ 03.11.2021): ``` - pip install haystack + pip install spark-nlp ```
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TextDistance (πŸ₯ˆ26 Β· ⭐ 2K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT +
GluonNLP (πŸ₯ˆ27 Β· ⭐ 2.3K) - Toolkit that enables easy text preprocessing, datasets loading.. Apache-2 -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 170 Β· πŸ“₯ 120 Β· πŸ“¦ 910 Β· ⏱️ 29.07.2021): +- [GitHub](https://github.com/dmlc/gluon-nlp) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 520 Β· πŸ“¦ 630 Β· πŸ“‹ 560 - 46% open Β· ⏱️ 24.08.2021): ``` - git clone https://github.com/life4/textdistance - ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 210K / month Β· πŸ“¦ 28 Β· ⏱️ 29.01.2021): - ``` - pip install textdistance + git clone https://github.com/dmlc/gluon-nlp ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 50K Β· ⏱️ 29.01.2021): +- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 210K / month Β· πŸ“¦ 22 Β· ⏱️ 13.08.2020): ``` - conda install -c conda-forge textdistance + pip install gluonnlp ```
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CLTK (πŸ₯ˆ26 Β· ⭐ 680) - The Classical Language Toolkit. MIT +
jellyfish (πŸ₯ˆ27 Β· ⭐ 1.6K) - a python library for doing approximate and phonetic matching of.. BSD-2 -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 300 Β· πŸ“₯ 22 Β· πŸ“¦ 170 Β· πŸ“‹ 500 - 24% open Β· ⏱️ 20.08.2021): +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 140 Β· πŸ“¦ 2.9K Β· πŸ“‹ 110 - 8% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/cltk/cltk - ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 2K / month Β· πŸ“¦ 68 Β· ⏱️ 20.08.2021): - ``` - pip install cltk + git clone https://github.com/jamesturk/jellyfish ``` -
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PyText (πŸ₯ˆ25 Β· ⭐ 6.2K) - A natural language modeling framework based on PyTorch. BSD-3 - -- [GitHub](https://github.com/facebookresearch/pytext) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 800 Β· πŸ“₯ 260 Β· πŸ“¦ 96 Β· πŸ“‹ 220 - 66% open Β· ⏱️ 26.08.2021): - +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 1.5M / month Β· πŸ“¦ 650 Β· ⏱️ 26.10.2021): ``` - git clone https://github.com/facebookresearch/pytext + pip install jellyfish ``` -- [PyPi](https://pypi.org/project/pytext-nlp) (πŸ“₯ 430 / month Β· πŸ“¦ 1 Β· ⏱️ 08.06.2020): +- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 160K Β· ⏱️ 05.11.2021): ``` - pip install pytext-nlp + conda install -c conda-forge jellyfish ```
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stanza (πŸ₯ˆ25 Β· ⭐ 5.6K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2 +
stanza (πŸ₯ˆ26 Β· ⭐ 5.8K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2 -- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 730 Β· πŸ“¦ 610 Β· πŸ“‹ 560 - 11% open Β· ⏱️ 09.08.2021): +- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 740 Β· πŸ“¦ 740 Β· πŸ“‹ 600 - 10% open Β· ⏱️ 05.10.2021): ``` git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 50K / month Β· πŸ“¦ 4 Β· ⏱️ 09.08.2021): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 75K / month Β· πŸ“¦ 4 Β· ⏱️ 05.10.2021): ``` pip install stanza ``` -- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 4.1K Β· ⏱️ 09.08.2021): +- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 4.4K Β· ⏱️ 05.10.2021): ``` conda install -c stanfordnlp stanza ```
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Sumy (πŸ₯ˆ25 Β· ⭐ 2.6K Β· πŸ“‰) - Module for automatic summarization of text documents and HTML pages. Apache-2 +
Sumy (πŸ₯ˆ26 Β· ⭐ 2.7K) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 460 Β· πŸ“¦ 880 Β· πŸ“‹ 92 - 15% open Β· ⏱️ 17.06.2021): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 460 Β· πŸ“¦ 980 Β· πŸ“‹ 93 - 16% open Β· ⏱️ 21.10.2021): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 21K / month Β· πŸ“¦ 190 Β· ⏱️ 19.05.2019): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 26K / month Β· πŸ“¦ 190 Β· ⏱️ 21.10.2021): ``` pip install sumy ```
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nlpaug (πŸ₯ˆ25 Β· ⭐ 2.4K) - Data augmentation for NLP. MIT +
haystack (πŸ₯ˆ26 Β· ⭐ 2.7K) - Haystack is an open source NLP framework that leverages Transformer.. Apache-2 -- [GitHub](https://github.com/makcedward/nlpaug) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 280 Β· πŸ“¦ 170 Β· πŸ“‹ 140 - 21% open Β· ⏱️ 30.07.2021): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 540 Β· πŸ“¦ 92 Β· πŸ“‹ 990 - 14% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/makcedward/nlpaug + git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/nlpaug) (πŸ“₯ 22K / month Β· πŸ“¦ 2 Β· ⏱️ 21.07.2021): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 2K / month Β· πŸ“¦ 170 Β· ⏱️ 03.07.2017): ``` - pip install nlpaug + pip install haystack ```
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neuralcoref (πŸ₯ˆ25 Β· ⭐ 2.4K) - Fast Coreference Resolution in spaCy with Neural Networks. MIT +
spacy-transformers (πŸ₯ˆ26 Β· ⭐ 1.1K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/huggingface/neuralcoref) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 410 Β· πŸ“₯ 250 Β· πŸ“¦ 380 Β· πŸ“‹ 280 - 18% open Β· ⏱️ 22.06.2021): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 320 Β· ⏱️ 28.10.2021): ``` - git clone https://github.com/huggingface/neuralcoref + git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/neuralcoref) (πŸ“₯ 19K / month Β· πŸ“¦ 18 Β· ⏱️ 08.04.2019): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 130K / month Β· πŸ“¦ 6 Β· ⏱️ 28.10.2021): ``` - pip install neuralcoref + pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/neuralcoref) (πŸ“₯ 9.5K Β· ⏱️ 21.02.2020): +
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CLTK (πŸ₯ˆ26 Β· ⭐ 690) - The Classical Language Toolkit. MIT + +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 300 Β· πŸ“₯ 22 Β· πŸ“¦ 180 Β· πŸ“‹ 610 - 19% open Β· ⏱️ 21.10.2021): + ``` - conda install -c conda-forge neuralcoref + git clone https://github.com/cltk/cltk + ``` +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1.5K / month Β· πŸ“¦ 68 Β· ⏱️ 17.10.2021): + ``` + pip install cltk ```
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scattertext (πŸ₯ˆ25 Β· ⭐ 1.7K) - Beautiful visualizations of how language differs among document.. Apache-2 +
Ciphey (πŸ₯ˆ25 Β· ⭐ 8.9K) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT -- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 220 Β· πŸ“¦ 210 Β· πŸ“‹ 82 - 20% open Β· ⏱️ 07.07.2021): +- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 550 Β· πŸ“‹ 280 - 18% open Β· ⏱️ 03.11.2021): ``` - git clone https://github.com/JasonKessler/scattertext + git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 4.3K / month Β· πŸ“¦ 16 Β· ⏱️ 07.07.2021): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 17K / month Β· ⏱️ 06.06.2021): ``` - pip install scattertext + pip install ciphey ``` -- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 56K Β· ⏱️ 07.07.2021): +- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (πŸ“₯ 13K Β· ⭐ 5 Β· ⏱️ 16.11.2021): ``` - conda install -c conda-forge scattertext + docker pull remnux/ciphey ```
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spacy-transformers (πŸ₯ˆ25 Β· ⭐ 1K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy +
vaderSentiment (πŸ₯ˆ25 Β· ⭐ 3.2K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 120 Β· πŸ“¦ 250 Β· ⏱️ 17.08.2021): +- [GitHub](https://github.com/cjhutto/vaderSentiment) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 810 Β· πŸ“¦ 3.2K Β· πŸ“‹ 110 - 30% open Β· ⏱️ 15.03.2021): ``` - git clone https://github.com/explosion/spacy-transformers + git clone https://github.com/cjhutto/vaderSentiment ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 57K / month Β· πŸ“¦ 6 Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/vadersentiment) (πŸ“₯ 210K / month Β· πŸ“¦ 290 Β· ⏱️ 22.05.2020): ``` - pip install spacy-transformers + pip install vadersentiment ```
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Ciphey (πŸ₯‰24 Β· ⭐ 8K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT +
neuralcoref (πŸ₯ˆ25 Β· ⭐ 2.4K) - Fast Coreference Resolution in spaCy with Neural Networks. MIT -- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 460 Β· πŸ“‹ 260 - 20% open Β· ⏱️ 19.08.2021): +- [GitHub](https://github.com/huggingface/neuralcoref) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 420 Β· πŸ“₯ 280 Β· πŸ“¦ 420 Β· πŸ“‹ 280 - 20% open Β· ⏱️ 22.06.2021): ``` - git clone https://github.com/Ciphey/Ciphey + git clone https://github.com/huggingface/neuralcoref ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 14K / month Β· ⏱️ 06.06.2021): +- [PyPi](https://pypi.org/project/neuralcoref) (πŸ“₯ 26K / month Β· πŸ“¦ 18 Β· ⏱️ 08.04.2019): ``` - pip install ciphey + pip install neuralcoref ``` -- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (πŸ“₯ 11K Β· ⭐ 4 Β· ⏱️ 06.06.2021): +- [Conda](https://anaconda.org/conda-forge/neuralcoref) (πŸ“₯ 10K Β· ⏱️ 21.02.2020): ``` - docker pull remnux/ciphey + conda install -c conda-forge neuralcoref ```
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english-words (πŸ₯‰24 Β· ⭐ 5.5K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense +
fastNLP (πŸ₯ˆ25 Β· ⭐ 2.4K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2 -- [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 1.2K Β· πŸ“‹ 70 - 62% open Β· ⏱️ 15.10.2020): +- [GitHub](https://github.com/fastnlp/fastNLP) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 400 Β· πŸ“₯ 65 Β· πŸ“¦ 47 Β· πŸ“‹ 180 - 19% open Β· ⏱️ 15.10.2021): ``` - git clone https://github.com/dwyl/english-words + git clone https://github.com/fastnlp/fastNLP ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 12K / month Β· πŸ“¦ 4 Β· ⏱️ 02.08.2021): +- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 04.02.2019): ``` - pip install english-words + pip install fastnlp ```
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DeepMatcher (πŸ₯‰24 Β· ⭐ 3.8K) - Python package for performing Entity and Text Matching using Deep.. BSD-3 +
scattertext (πŸ₯ˆ25 Β· ⭐ 1.7K) - Beautiful visualizations of how language differs among document.. Apache-2 -- [GitHub](https://github.com/anhaidgroup/deepmatcher) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 1.4K Β· πŸ“¦ 14 Β· πŸ“‹ 75 - 70% open Β· ⏱️ 13.06.2021): +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 230 Β· πŸ“¦ 240 Β· πŸ“‹ 82 - 20% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/anhaidgroup/deepmatcher + git clone https://github.com/JasonKessler/scattertext ``` -- [PyPi](https://pypi.org/project/deepmatcher) (πŸ“₯ 2K / month Β· ⏱️ 13.06.2021): +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 4.3K / month Β· πŸ“¦ 16 Β· ⏱️ 15.11.2021): ``` - pip install deepmatcher + pip install scattertext + ``` +- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 58K Β· ⏱️ 15.11.2021): + ``` + conda install -c conda-forge scattertext ```
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T5 (πŸ₯‰24 Β· ⭐ 3.6K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 +
T5 (πŸ₯‰24 Β· ⭐ 3.8K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 480 Β· πŸ“¦ 47 Β· πŸ“‹ 380 - 14% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 530 Β· πŸ“¦ 65 Β· πŸ“‹ 400 - 16% open Β· ⏱️ 29.10.2021): ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 13K / month Β· ⏱️ 04.08.2021): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 13K / month Β· ⏱️ 18.10.2021): ``` pip install t5 ```
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pytorch-nlp (πŸ₯‰24 Β· ⭐ 1.9K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 +
Snips NLU (πŸ₯‰24 Β· ⭐ 3.6K) - Snips Python library to extract meaning from text. Apache-2 -- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 240 Β· πŸ“¦ 270 Β· πŸ“‹ 65 - 24% open Β· ⏱️ 10.07.2021): +- [GitHub](https://github.com/snipsco/snips-nlu) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 500 Β· πŸ“‹ 250 - 21% open Β· ⏱️ 03.05.2021): ``` - git clone https://github.com/PetrochukM/PyTorch-NLP + git clone https://github.com/snipsco/snips-nlu ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 5K / month Β· πŸ“¦ 18 Β· ⏱️ 04.11.2019): +- [PyPi](https://pypi.org/project/snips-nlu) (πŸ“₯ 3.6K / month Β· πŸ“¦ 16 Β· ⏱️ 15.01.2020): ``` - pip install pytorch-nlp + pip install snips-nlu ```
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sense2vec (πŸ₯‰24 Β· ⭐ 1.3K) - Contextually-keyed word vectors. MIT +
pytorch-nlp (πŸ₯‰24 Β· ⭐ 2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 -- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 210 Β· πŸ“₯ 19K Β· πŸ“¦ 81 Β· πŸ“‹ 100 - 18% open Β· ⏱️ 16.08.2021): +- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 240 Β· πŸ“¦ 300 Β· πŸ“‹ 67 - 26% open Β· ⏱️ 10.07.2021): ``` - git clone https://github.com/explosion/sense2vec - ``` -- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 5.1K / month Β· πŸ“¦ 12 Β· ⏱️ 19.04.2021): - ``` - pip install sense2vec + git clone https://github.com/PetrochukM/PyTorch-NLP ``` -- [Conda](https://anaconda.org/conda-forge/sense2vec) (πŸ“₯ 22K Β· ⏱️ 14.07.2021): +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 9.4K / month Β· πŸ“¦ 18 Β· ⏱️ 04.11.2019): ``` - conda install -c conda-forge sense2vec + pip install pytorch-nlp ```
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Snips NLU (πŸ₯‰23 Β· ⭐ 3.5K) - Snips Python library to extract meaning from text. Apache-2 +
PyTextRank (πŸ₯‰24 Β· ⭐ 1.7K) - Python implementation of TextRank for phrase extraction and.. MIT -- [GitHub](https://github.com/snipsco/snips-nlu) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 480 Β· πŸ“‹ 250 - 21% open Β· ⏱️ 03.05.2021): +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 320 Β· πŸ“¦ 210 Β· πŸ“‹ 79 - 27% open Β· ⏱️ 10.10.2021): ``` - git clone https://github.com/snipsco/snips-nlu + git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/snips-nlu) (πŸ“₯ 2.9K / month Β· πŸ“¦ 16 Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 17K / month Β· πŸ“¦ 12 Β· ⏱️ 10.10.2021): ``` - pip install snips-nlu + pip install pytextrank ```
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MatchZoo (πŸ₯‰23 Β· ⭐ 3.5K) - Facilitating the design, comparison and sharing of deep text.. Apache-2 +
english-words (πŸ₯‰23 Β· ⭐ 5.7K) - A text file containing 479k English words for all your.. Unlicense -- [GitHub](https://github.com/NTMC-Community/MatchZoo) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 890 Β· πŸ“¦ 10 Β· πŸ“‹ 460 - 6% open Β· ⏱️ 02.06.2021): +- [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.2K Β· πŸ“‹ 71 - 63% open Β· ⏱️ 20.10.2021): ``` - git clone https://github.com/NTMC-Community/MatchZoo + git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/matchzoo) (πŸ“₯ 260 / month Β· ⏱️ 24.10.2019): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 7.6K / month Β· πŸ“¦ 4 Β· ⏱️ 02.08.2021): ``` - pip install matchzoo + pip install english-words ```
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fastNLP (πŸ₯‰23 Β· ⭐ 2.3K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2 +
textacy (πŸ₯‰23 Β· ⭐ 1.8K) - NLP, before and after spaCy. Apache-2 -- [GitHub](https://github.com/fastnlp/fastNLP) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 380 Β· πŸ“₯ 63 Β· πŸ“¦ 40 Β· πŸ“‹ 160 - 13% open Β· ⏱️ 13.07.2021): +- [GitHub](https://github.com/chartbeat-labs/textacy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 230 Β· πŸ“‹ 240 - 12% open Β· ⏱️ 14.11.2021): ``` - git clone https://github.com/fastnlp/fastNLP + git clone https://github.com/chartbeat-labs/textacy ``` -- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 950 / month Β· πŸ“¦ 1 Β· ⏱️ 04.02.2019): +- [PyPi](https://pypi.org/project/textacy) (πŸ“₯ 37K / month Β· πŸ“¦ 150 Β· ⏱️ 12.04.2021): ``` - pip install fastnlp + pip install textacy + ``` +- [Conda](https://anaconda.org/conda-forge/textacy) (πŸ“₯ 100K Β· ⏱️ 13.04.2021): + ``` + conda install -c conda-forge textacy ```
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textacy (πŸ₯‰23 Β· ⭐ 1.7K) - NLP, before and after spaCy. Apache-2 +
PyText (πŸ₯‰22 Β· ⭐ 6.3K) - A natural language modeling framework based on PyTorch. BSD-3 -- [GitHub](https://github.com/chartbeat-labs/textacy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 230 Β· πŸ“‹ 240 - 12% open Β· ⏱️ 31.05.2021): +- [GitHub](https://github.com/facebookresearch/pytext) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 800 Β· πŸ“₯ 280 Β· πŸ“¦ 100 Β· πŸ“‹ 220 - 66% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/chartbeat-labs/textacy - ``` -- [PyPi](https://pypi.org/project/textacy) (πŸ“₯ 32K / month Β· πŸ“¦ 150 Β· ⏱️ 12.04.2021): - ``` - pip install textacy + git clone https://github.com/facebookresearch/pytext ``` -- [Conda](https://anaconda.org/conda-forge/textacy) (πŸ“₯ 97K Β· ⏱️ 13.04.2021): +- [PyPi](https://pypi.org/project/pytext-nlp) (πŸ“₯ 230 / month Β· πŸ“¦ 1 Β· ⏱️ 08.06.2020): ``` - conda install -c conda-forge textacy + pip install pytext-nlp ```
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PyTextRank (πŸ₯‰23 Β· ⭐ 1.6K) - Python implementation of TextRank for phrase extraction and.. MIT +
MatchZoo (πŸ₯‰22 Β· ⭐ 3.5K) - Facilitating the design, comparison and sharing of deep text.. Apache-2 -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 310 Β· πŸ“¦ 180 Β· πŸ“‹ 76 - 26% open Β· ⏱️ 25.07.2021): +- [GitHub](https://github.com/NTMC-Community/MatchZoo) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 910 Β· πŸ“¦ 10 Β· πŸ“‹ 460 - 6% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/DerwenAI/pytextrank + git clone https://github.com/NTMC-Community/MatchZoo ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 14K / month Β· πŸ“¦ 12 Β· ⏱️ 24.07.2021): +- [PyPi](https://pypi.org/project/matchzoo) (πŸ“₯ 270 / month Β· ⏱️ 24.10.2019): ``` - pip install pytextrank + pip install matchzoo ```
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FARM (πŸ₯‰23 Β· ⭐ 1.3K) - Fast & easy transfer learning for NLP. Harvesting language models.. Apache-2 +
gpt-2-simple (πŸ₯‰22 Β· ⭐ 2.8K) - Python package to easily retrain OpenAI's GPT-2 text-.. MIT -- [GitHub](https://github.com/deepset-ai/FARM) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 190 Β· πŸ“‹ 400 - 9% open Β· ⏱️ 20.08.2021): +- [GitHub](https://github.com/minimaxir/gpt-2-simple) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 590 Β· πŸ“₯ 280 Β· πŸ“‹ 240 - 61% open Β· ⏱️ 18.10.2021): ``` - git clone https://github.com/deepset-ai/FARM + git clone https://github.com/minimaxir/gpt-2-simple ``` -- [PyPi](https://pypi.org/project/farm) (πŸ“₯ 14K / month Β· πŸ“¦ 2 Β· ⏱️ 10.06.2021): +- [PyPi](https://pypi.org/project/gpt-2-simple) (πŸ“₯ 9.7K / month Β· πŸ“¦ 6 Β· ⏱️ 18.10.2021): ``` - pip install farm + pip install gpt-2-simple ```
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Texthero (πŸ₯‰22 Β· ⭐ 2.3K) - Text preprocessing, representation and visualization from zero to hero. MIT +
FARM (πŸ₯‰22 Β· ⭐ 1.4K) - Fast & easy transfer learning for NLP. Harvesting language models.. Apache-2 -- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 200 Β· πŸ“₯ 80 Β· πŸ“‹ 130 - 56% open Β· ⏱️ 19.07.2021): +- [GitHub](https://github.com/deepset-ai/FARM) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 210 Β· πŸ“‹ 410 - 9% open Β· ⏱️ 12.11.2021): ``` - git clone https://github.com/jbesomi/texthero + git clone https://github.com/deepset-ai/FARM ``` -- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 16K / month Β· ⏱️ 01.07.2021): +- [PyPi](https://pypi.org/project/farm) (πŸ“₯ 6K / month Β· πŸ“¦ 2 Β· ⏱️ 10.06.2021): ``` - pip install texthero + pip install farm ```
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jiant (πŸ₯‰22 Β· ⭐ 1.3K) - jiant is an nlp toolkit. MIT +
sense2vec (πŸ₯‰22 Β· ⭐ 1.3K) - Contextually-keyed word vectors. MIT -- [GitHub](https://github.com/nyu-mll/jiant) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 540 - 10% open Β· ⏱️ 26.07.2021): +- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 220 Β· πŸ“₯ 22K Β· πŸ“¦ 96 Β· πŸ“‹ 110 - 17% open Β· ⏱️ 16.08.2021): ``` - git clone https://github.com/nyu-mll/jiant + git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 260 / month Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 3.4K / month Β· πŸ“¦ 12 Β· ⏱️ 19.04.2021): ``` - pip install jiant + pip install sense2vec + ``` +- [Conda](https://anaconda.org/conda-forge/sense2vec) (πŸ“₯ 23K Β· ⏱️ 14.07.2021): + ``` + conda install -c conda-forge sense2vec ```
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SciSpacy (πŸ₯‰22 Β· ⭐ 990) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 +
SciSpacy (πŸ₯‰22 Β· ⭐ 1K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 140 Β· πŸ“¦ 320 Β· πŸ“‹ 220 - 13% open Β· ⏱️ 15.07.2021): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 140 Β· πŸ“¦ 360 Β· πŸ“‹ 230 - 15% open Β· ⏱️ 15.07.2021): ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 25K / month Β· πŸ“¦ 12 Β· ⏱️ 12.02.2021): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 23K / month Β· πŸ“¦ 12 Β· ⏱️ 12.02.2021): ``` pip install scispacy ```
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pySBD (πŸ₯‰22 Β· ⭐ 360) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT +
pySBD (πŸ₯‰22 Β· ⭐ 380 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT -- [GitHub](https://github.com/nipunsadvilkar/pySBD) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 35 Β· πŸ“¦ 200 Β· πŸ“‹ 57 - 15% open Β· ⏱️ 11.02.2021): +- [GitHub](https://github.com/nipunsadvilkar/pySBD) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 42 Β· πŸ“¦ 240 Β· πŸ“‹ 60 - 20% open Β· ⏱️ 11.02.2021): ``` git clone https://github.com/nipunsadvilkar/pySBD @@ -2058,45 +2004,57 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install pysbd ```
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NeMo (πŸ₯‰21 Β· ⭐ 3.1K) - NeMo: a toolkit for conversational AI. Apache-2 +
DeepMatcher (πŸ₯‰21 Β· ⭐ 3.9K) - Python package for performing Entity and Text Matching using Deep.. BSD-3 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 600 Β· πŸ“₯ 7.8K Β· πŸ“‹ 730 - 10% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/anhaidgroup/deepmatcher) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 1.5K Β· πŸ“¦ 14 Β· πŸ“‹ 76 - 71% open Β· ⏱️ 13.06.2021): + + ``` + git clone https://github.com/anhaidgroup/deepmatcher + ``` +- [PyPi](https://pypi.org/project/deepmatcher) (πŸ“₯ 600 / month Β· ⏱️ 13.06.2021): + ``` + pip install deepmatcher + ``` +
+
NeMo (πŸ₯‰21 Β· ⭐ 3.5K) - NeMo: a toolkit for conversational AI. Apache-2 + +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 740 Β· πŸ“₯ 14K Β· πŸ“‹ 850 - 8% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 4K / month Β· πŸ“¦ 4 Β· ⏱️ 30.07.2021): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 5.5K / month Β· πŸ“¦ 4 Β· ⏱️ 02.10.2021): ``` pip install nemo-toolkit ```
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gpt-2-simple (πŸ₯‰21 Β· ⭐ 2.8K) - Python package to easily retrain OpenAI's GPT-2 text-.. MIT +
Texthero (πŸ₯‰21 Β· ⭐ 2.4K) - Text preprocessing, representation and visualization from zero to hero. MIT -- [GitHub](https://github.com/minimaxir/gpt-2-simple) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 560 Β· πŸ“₯ 260 Β· πŸ“‹ 240 - 60% open Β· ⏱️ 14.02.2021): +- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 200 Β· πŸ“₯ 86 Β· πŸ“‹ 140 - 56% open Β· ⏱️ 19.07.2021): ``` - git clone https://github.com/minimaxir/gpt-2-simple + git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/gpt-2-simple) (πŸ“₯ 8.7K / month Β· πŸ“¦ 6 Β· ⏱️ 14.02.2021): +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 15K / month Β· ⏱️ 01.07.2021): ``` - pip install gpt-2-simple + pip install texthero ```
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anaGo (πŸ₯‰21 Β· ⭐ 1.4K) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-.. MIT +
jiant (πŸ₯‰21 Β· ⭐ 1.3K) - jiant is an nlp toolkit. MIT -- [GitHub](https://github.com/Hironsan/anago) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 360 Β· πŸ“¦ 27 Β· πŸ“‹ 110 - 33% open Β· ⏱️ 01.04.2021): +- [GitHub](https://github.com/nyu-mll/jiant) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 260 Β· πŸ“¦ 2 Β· πŸ“‹ 550 - 11% open Β· ⏱️ 17.10.2021): ``` - git clone https://github.com/Hironsan/anago + git clone https://github.com/nyu-mll/jiant ``` -- [PyPi](https://pypi.org/project/anago) (πŸ“₯ 620 / month Β· πŸ“¦ 5 Β· ⏱️ 17.07.2018): +- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 250 / month Β· ⏱️ 10.05.2021): ``` - pip install anago + pip install jiant ```
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NLP Architect (πŸ₯‰20 Β· ⭐ 2.7K) - A model library for exploring state-of-the-art deep learning.. Apache-2 +
NLP Architect (πŸ₯‰20 Β· ⭐ 2.8K) - A model library for exploring state-of-the-art deep learning.. Apache-2 -- [GitHub](https://github.com/IntelLabs/nlp-architect) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 430 Β· πŸ“¦ 8 Β· πŸ“‹ 130 - 13% open Β· ⏱️ 13.04.2021): +- [GitHub](https://github.com/IntelLabs/nlp-architect) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 440 Β· πŸ“¦ 8 Β· πŸ“‹ 130 - 15% open Β· ⏱️ 12.09.2021): ``` git clone https://github.com/IntelLabs/nlp-architect @@ -2108,48 +2066,36 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Kashgari (πŸ₯‰20 Β· ⭐ 2.2K) - Kashgari is a production-level NLP Transfer learning framework.. Apache-2 -- [GitHub](https://github.com/BrikerMan/Kashgari) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 410 Β· πŸ“¦ 40 Β· πŸ“‹ 350 - 9% open Β· ⏱️ 09.07.2021): +- [GitHub](https://github.com/BrikerMan/Kashgari) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 420 Β· πŸ“¦ 48 Β· πŸ“‹ 360 - 9% open Β· ⏱️ 09.07.2021): ``` git clone https://github.com/BrikerMan/Kashgari ``` -- [PyPi](https://pypi.org/project/kashgari-tf) (πŸ“₯ 140 / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2019): +- [PyPi](https://pypi.org/project/kashgari-tf) (πŸ“₯ 110 / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2019): ``` pip install kashgari-tf ```
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fast-bert (πŸ₯‰20 Β· ⭐ 1.6K) - Super easy library for BERT based NLP models. Apache-2 - -- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 320 Β· πŸ“‹ 240 - 60% open Β· ⏱️ 02.08.2021): - - ``` - git clone https://github.com/utterworks/fast-bert - ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 23.05.2021): - ``` - pip install fast-bert - ``` -
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lightseq (πŸ₯‰20 Β· ⭐ 1.6K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 +
lightseq (πŸ₯‰20 Β· ⭐ 1.8K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 -- [GitHub](https://github.com/bytedance/lightseq) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 150 Β· πŸ“₯ 450 Β· πŸ“‹ 80 - 37% open Β· ⏱️ 20.08.2021): +- [GitHub](https://github.com/bytedance/lightseq) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 180 Β· πŸ“₯ 520 Β· πŸ“‹ 120 - 48% open Β· ⏱️ 03.11.2021): ``` git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 970 / month Β· ⏱️ 24.08.2021): +- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 940 / month Β· ⏱️ 03.11.2021): ``` pip install lightseq ```
DELTA (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 -- [GitHub](https://github.com/Delta-ML/delta) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 290 Β· πŸ“‹ 77 - 6% open Β· ⏱️ 17.12.2020): +- [GitHub](https://github.com/Delta-ML/delta) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 290 Β· πŸ“‹ 79 - 6% open Β· ⏱️ 17.12.2020): ``` git clone https://github.com/Delta-ML/delta ``` -- [PyPi](https://pypi.org/project/delta-nlp) (πŸ“₯ 36 / month Β· ⏱️ 27.03.2020): +- [PyPi](https://pypi.org/project/delta-nlp) (πŸ“₯ 28 / month Β· ⏱️ 27.03.2020): ``` pip install delta-nlp ``` @@ -2158,119 +2104,154 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we docker pull zh794390558/delta ```
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Sockeye (πŸ₯‰20 Β· ⭐ 1K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 +
anaGo (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT -- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 300 Β· πŸ“‹ 250 - 8% open Β· ⏱️ 11.08.2021): +- [GitHub](https://github.com/Hironsan/anago) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 360 Β· πŸ“¦ 27 Β· πŸ“‹ 110 - 33% open Β· ⏱️ 01.04.2021): ``` - git clone https://github.com/awslabs/sockeye + git clone https://github.com/Hironsan/anago ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 540 / month Β· πŸ“¦ 2 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/anago) (πŸ“₯ 760 / month Β· πŸ“¦ 5 Β· ⏱️ 17.07.2018): ``` - pip install sockeye + pip install anago ```
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YouTokenToMe (πŸ₯‰20 Β· ⭐ 760 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT +
YouTokenToMe (πŸ₯‰20 Β· ⭐ 770 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT -- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 49 Β· πŸ“¦ 140 Β· πŸ“‹ 47 - 53% open Β· ⏱️ 28.01.2021): +- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 57 Β· πŸ“¦ 160 Β· πŸ“‹ 51 - 54% open Β· ⏱️ 28.01.2021): ``` git clone https://github.com/vkcom/youtokentome ``` -- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 15K / month Β· πŸ“¦ 12 Β· ⏱️ 12.02.2020): +- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 26K / month Β· πŸ“¦ 12 Β· ⏱️ 12.02.2020): ``` pip install youtokentome ```
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finetune (πŸ₯‰19 Β· ⭐ 650 Β· πŸ“‰) - Scikit-learn style model finetuning for NLP. MPL-2.0 +
fast-bert (πŸ₯‰19 Β· ⭐ 1.7K) - Super easy library for BERT based NLP models. Apache-2 + +- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 320 Β· πŸ“‹ 240 - 60% open Β· ⏱️ 31.08.2021): + + ``` + git clone https://github.com/utterworks/fast-bert + ``` +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 23.05.2021): + ``` + pip install fast-bert + ``` +
+
finetune (πŸ₯‰19 Β· ⭐ 660) - Scikit-learn style model finetuning for NLP. MPL-2.0 -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 69 Β· πŸ“¦ 9 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 17.08.2021): +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 69 Β· πŸ“¦ 9 Β· πŸ“‹ 140 - 16% open Β· ⏱️ 20.10.2021): ``` git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 140 / month Β· πŸ“¦ 2 Β· ⏱️ 10.01.2020): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 130 / month Β· πŸ“¦ 2 Β· ⏱️ 10.01.2020): ``` pip install finetune ```
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Camphr (πŸ₯‰18 Β· ⭐ 340) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy +
Sockeye (πŸ₯‰18 Β· ⭐ 1K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 -- [GitHub](https://github.com/PKSHATechnology-Research/camphr) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 17 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 300 Β· πŸ“₯ 10 Β· πŸ“‹ 260 - 7% open Β· ⏱️ 08.11.2021): ``` - git clone https://github.com/PKSHATechnology-Research/camphr + git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/camphr) (πŸ“₯ 510 / month Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 530 / month Β· πŸ“¦ 2 Β· ⏱️ 05.11.2021): ``` - pip install camphr + pip install sockeye ```
-
OpenNRE (πŸ₯‰15 Β· ⭐ 3.3K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT +
Camphr (πŸ₯‰17 Β· ⭐ 340) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy -- [GitHub](https://github.com/thunlp/OpenNRE) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 870 Β· πŸ“‹ 340 - 6% open Β· ⏱️ 31.05.2021): +- [GitHub](https://github.com/PKSHATechnology-Research/camphr) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 17 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 18.08.2021): ``` - git clone https://github.com/thunlp/OpenNRE + git clone https://github.com/PKSHATechnology-Research/camphr + ``` +- [PyPi](https://pypi.org/project/camphr) (πŸ“₯ 430 / month Β· ⏱️ 28.07.2021): + ``` + pip install camphr ```
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Translate (πŸ₯‰15 Β· ⭐ 710) - Translate - a PyTorch Language Library. BSD-3 +
Translate (πŸ₯‰15 Β· ⭐ 720) - Translate - a PyTorch Language Library. BSD-3 -- [GitHub](https://github.com/pytorch/translate) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 170 Β· πŸ“‹ 93 - 70% open Β· ⏱️ 17.08.2021): +- [GitHub](https://github.com/pytorch/translate) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 170 Β· πŸ“‹ 93 - 70% open Β· ⏱️ 06.10.2021): ``` git clone https://github.com/pytorch/translate ``` -- [PyPi](https://pypi.org/project/pytorch-translate) (πŸ“₯ 13 / month Β· ⏱️ 01.05.2018): +- [PyPi](https://pypi.org/project/pytorch-translate) (πŸ“₯ 6 / month Β· ⏱️ 01.05.2018): ``` pip install pytorch-translate ```
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VizSeq (πŸ₯‰15 Β· ⭐ 350) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰15 Β· ⭐ 370) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT -- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 41 Β· πŸ“¦ 2 Β· πŸ“‹ 15 - 46% open Β· ⏱️ 19.08.2021): +- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 42 Β· πŸ“¦ 3 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 02.09.2021): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 130 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 68 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ```
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BLINK (πŸ₯‰13 Β· ⭐ 700) - Entity Linker solution. MIT +
TextBox (πŸ₯‰15 Β· ⭐ 320) - TextBox is an open-source library for building text generation system. MIT + +- [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 52 Β· πŸ“¦ 5 Β· πŸ“‹ 16 - 25% open Β· ⏱️ 25.10.2021): + + ``` + git clone https://github.com/RUCAIBox/TextBox + ``` +- [PyPi](https://pypi.org/project/textbox) (πŸ“₯ 71 / month Β· ⏱️ 15.04.2021): + ``` + pip install textbox + ``` +
+
OpenNRE (πŸ₯‰14 Β· ⭐ 3.4K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT + +- [GitHub](https://github.com/thunlp/OpenNRE) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 880 Β· πŸ“‹ 340 - 6% open Β· ⏱️ 31.05.2021): + + ``` + git clone https://github.com/thunlp/OpenNRE + ``` +
+
BLINK (πŸ₯‰11 Β· ⭐ 760 Β· πŸ’€) - Entity Linker solution. MIT -- [GitHub](https://github.com/facebookresearch/BLINK) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 120 Β· πŸ“‹ 63 - 55% open Β· ⏱️ 02.04.2021): +- [GitHub](https://github.com/facebookresearch/BLINK) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 130 Β· πŸ“‹ 72 - 61% open Β· ⏱️ 02.04.2021): ``` git clone https://github.com/facebookresearch/BLINK ```
-
Show 23 hidden projects... +
Show 22 hidden projects... +- fuzzywuzzy (πŸ₯‡31 Β· ⭐ 8.6K) - Fuzzy String Matching in Python. ❗️GPL-2.0 - fastText (πŸ₯ˆ30 Β· ⭐ 23K Β· πŸ’€) - Library for fast text representation and classification. MIT -- fuzzywuzzy (πŸ₯ˆ30 Β· ⭐ 8.4K) - Fuzzy String Matching in Python. ❗️GPL-2.0 -- langid (πŸ₯ˆ26 Β· ⭐ 1.8K Β· πŸ’€) - Stand-alone language identification system. BSD-3 -- flashtext (πŸ₯ˆ25 Β· ⭐ 4.9K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT -- polyglot (πŸ₯ˆ25 Β· ⭐ 1.9K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 -- textgenrnn (πŸ₯‰24 Β· ⭐ 4.5K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT -- Texar (πŸ₯‰23 Β· ⭐ 2.2K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 -- stop-words (πŸ₯‰22 Β· ⭐ 130 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 -- NeuroNER (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT +- langid (πŸ₯ˆ26 Β· ⭐ 1.9K Β· πŸ’€) - Stand-alone language identification system. BSD-3 +- polyglot (πŸ₯ˆ25 Β· ⭐ 1.9K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 +- textgenrnn (πŸ₯‰24 Β· ⭐ 4.6K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT +- flashtext (πŸ₯‰23 Β· ⭐ 5K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT +- stop-words (πŸ₯‰23 Β· ⭐ 130 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 +- Texar (πŸ₯‰21 Β· ⭐ 2.2K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - pyfasttext (πŸ₯‰20 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 -- textaugment (πŸ₯‰19 Β· ⭐ 160) - TextAugment: Text Augmentation Library. MIT -- nboost (πŸ₯‰18 Β· ⭐ 580 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 -- textpipe (πŸ₯‰18 Β· ⭐ 290) - Textpipe: clean and extract metadata from text. MIT -- TextBox (πŸ₯‰16 Β· ⭐ 290) - TextBox is an open-source library for building text generation system. MIT +- textpipe (πŸ₯‰19 Β· ⭐ 290) - Textpipe: clean and extract metadata from text. MIT +- textaugment (πŸ₯‰19 Β· ⭐ 180) - TextAugment: Text Augmentation Library. MIT +- NeuroNER (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT +- skift (πŸ₯‰18 Β· ⭐ 220 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT +- nboost (πŸ₯‰17 Β· ⭐ 600 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 +- fastT5 (πŸ₯‰17 Β· ⭐ 230) - boost inference speed of T5 models by 5x & reduce the model size by 3x. Apache-2 - Headliner (πŸ₯‰16 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT -- skift (πŸ₯‰16 Β· ⭐ 220) - scikit-learn wrappers for Python fastText. MIT -- TransferNLP (πŸ₯‰15 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT -- NeuralQA (πŸ₯‰15 Β· ⭐ 200 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT -- ONNX-T5 (πŸ₯‰15 Β· ⭐ 180 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 -- fastT5 (πŸ₯‰14 Β· ⭐ 200 Β· 🐣) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 -- textvec (πŸ₯‰14 Β· ⭐ 170 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT -- numerizer (πŸ₯‰13 Β· ⭐ 120) - A Python module to convert natural language numerics into ints and.. MIT -- spacy-dbpedia-spotlight (πŸ₯‰12 Β· ⭐ 40) - A spaCy wrapper for DBpedia Spotlight. MIT spacy +- NeuralQA (πŸ₯‰15 Β· ⭐ 210 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT +- TransferNLP (πŸ₯‰14 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT +- ONNX-T5 (πŸ₯‰14 Β· ⭐ 180 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 +- textvec (πŸ₯‰14 Β· ⭐ 180 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT +- numerizer (πŸ₯‰14 Β· ⭐ 130 Β· πŸ’€) - A Python module to convert natural language numerics into ints and.. MIT +- spacy-dbpedia-spotlight (πŸ₯‰11 Β· ⭐ 44 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy

@@ -2280,604 +2261,615 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we _Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification._ -
Pillow (πŸ₯‡40 Β· ⭐ 8.9K) - The friendly PIL fork (Python Imaging Library). ❗️PIL +
Pillow (πŸ₯‡35 Β· ⭐ 9.1K Β· πŸ“‰) - The friendly PIL fork (Python Imaging Library). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.7K Β· πŸ“¦ 540K Β· πŸ“‹ 2.3K - 8% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.7K Β· πŸ“‹ 2.4K - 7% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 32M / month Β· πŸ“¦ 110K Β· ⏱️ 06.07.2021): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 36M / month Β· πŸ“¦ 110K Β· ⏱️ 15.10.2021): ``` pip install Pillow ``` -- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 9.9M Β· ⏱️ 06.08.2021): +- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 11M Β· ⏱️ 10.11.2021): ``` conda install -c conda-forge pillow ```
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torchvision (πŸ₯‡35 Β· ⭐ 9.7K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +
scikit-image (πŸ₯‡34 Β· ⭐ 4.6K) - Image processing in Python. BSD-2 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 5K Β· πŸ“‹ 1.9K - 27% open Β· ⏱️ 26.08.2021): - - ``` - git clone https://github.com/pytorch/vision - ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 2M / month Β· πŸ“¦ 4.6K Β· ⏱️ 15.06.2021): - ``` - pip install torchvision - ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 100K Β· ⏱️ 10.08.2021): - ``` - conda install -c conda-forge torchvision - ``` -
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scikit-image (πŸ₯‡34 Β· ⭐ 4.5K Β· πŸ“ˆ) - Image processing in Python. BSD-2 - -- [GitHub](https://github.com/scikit-image/scikit-image) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 1.9K Β· πŸ“¦ 78K Β· πŸ“‹ 2.3K - 31% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/scikit-image/scikit-image) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 1.9K Β· πŸ“¦ 86K Β· πŸ“‹ 2.7K - 25% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/scikit-image/scikit-image ``` -- [PyPi](https://pypi.org/project/scikit-image) (πŸ“₯ 4.1M / month Β· πŸ“¦ 15K Β· ⏱️ 24.08.2021): +- [PyPi](https://pypi.org/project/scikit-image) (πŸ“₯ 11M / month Β· πŸ“¦ 15K Β· ⏱️ 24.08.2021): ``` pip install scikit-image ``` -- [Conda](https://anaconda.org/conda-forge/scikit-image) (πŸ“₯ 2.8M Β· ⏱️ 25.08.2021): +- [Conda](https://anaconda.org/conda-forge/scikit-image) (πŸ“₯ 3M Β· ⏱️ 04.09.2021): ``` conda install -c conda-forge scikit-image ```
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MoviePy (πŸ₯‡32 Β· ⭐ 8.4K) - Video editing with Python. MIT +
torchvision (πŸ₯‡33 Β· ⭐ 10K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 9.6K Β· πŸ“‹ 1.1K - 30% open Β· ⏱️ 19.08.2021): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 5.3K Β· πŸ“‹ 2.1K - 27% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/Zulko/moviepy + git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 4.3M / month Β· πŸ“¦ 1.1K Β· ⏱️ 05.10.2020): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 3.4M / month Β· πŸ“¦ 4.6K Β· ⏱️ 21.10.2021): ``` - pip install moviepy + pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/moviepy) (πŸ“₯ 90K Β· ⏱️ 23.02.2020): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 150K Β· ⏱️ 27.09.2021): ``` - conda install -c conda-forge moviepy + conda install -c conda-forge torchvision ```
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imageio (πŸ₯‡32 Β· ⭐ 910) - Python library for reading and writing image data. BSD-2 +
imageio (πŸ₯‡33 Β· ⭐ 950) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 180 Β· πŸ“¦ 47K Β· πŸ“‹ 370 - 18% open Β· ⏱️ 09.08.2021): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 190 Β· πŸ“₯ 13 Β· πŸ“¦ 51K Β· πŸ“‹ 390 - 18% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 8.5M / month Β· πŸ“¦ 3.8K Β· ⏱️ 06.07.2020): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 12M / month Β· πŸ“¦ 3.8K Β· ⏱️ 17.11.2021): ``` pip install imageio ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 2.2M Β· ⏱️ 06.07.2020): +- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 2.4M Β· ⏱️ 06.07.2020): ``` conda install -c conda-forge imageio ```
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Albumentations (πŸ₯ˆ31 Β· ⭐ 8.6K) - Fast image augmentation library and an easy-to-use wrapper.. MIT +
Albumentations (πŸ₯‡32 Β· ⭐ 9.2K) - Fast image augmentation library and an easy-to-use wrapper.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 1.1K Β· πŸ“¦ 4.8K Β· πŸ“‹ 520 - 42% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 1.2K Β· πŸ“¦ 5.7K Β· πŸ“‹ 560 - 42% open Β· ⏱️ 06.11.2021): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 200K / month Β· πŸ“¦ 130 Β· ⏱️ 15.07.2021): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 210K / month Β· πŸ“¦ 130 Β· ⏱️ 04.10.2021): ``` pip install albumentations ``` -- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 24K Β· ⏱️ 15.07.2021): +- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 28K Β· ⏱️ 15.07.2021): ``` conda install -c conda-forge albumentations ```
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opencv-python (πŸ₯ˆ31 Β· ⭐ 2.2K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +
MoviePy (πŸ₯‡32 Β· ⭐ 8.7K) - Video editing with Python. MIT + +- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.2K Β· πŸ“¦ 12K Β· πŸ“‹ 1.1K - 30% open Β· ⏱️ 12.11.2021): + + ``` + git clone https://github.com/Zulko/moviepy + ``` +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 1.6M / month Β· πŸ“¦ 1.1K Β· ⏱️ 05.10.2020): + ``` + pip install moviepy + ``` +- [Conda](https://anaconda.org/conda-forge/moviepy) (πŸ“₯ 97K Β· ⏱️ 23.02.2020): + ``` + conda install -c conda-forge moviepy + ``` +
+
opencv-python (πŸ₯‡32 Β· ⭐ 2.4K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 410 Β· πŸ“‹ 460 - 6% open Β· ⏱️ 23.07.2021): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 470 Β· πŸ“‹ 490 - 7% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 5.6M / month Β· πŸ“¦ 13K Β· ⏱️ 11.07.2021): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 5.3M / month Β· πŸ“¦ 13K Β· ⏱️ 15.11.2021): ``` pip install opencv-python ```
Wand (πŸ₯ˆ31 Β· ⭐ 1.1K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 190 Β· πŸ“₯ 5.3K Β· πŸ“¦ 6.1K Β· πŸ“‹ 360 - 4% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 190 Β· πŸ“₯ 5.3K Β· πŸ“¦ 7.4K Β· πŸ“‹ 360 - 4% open Β· ⏱️ 05.10.2021): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 400K / month Β· πŸ“¦ 1.2K Β· ⏱️ 17.08.2021): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 420K / month Β· πŸ“¦ 1.2K Β· ⏱️ 17.08.2021): ``` pip install wand ```
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PyTorch Image Models (πŸ₯ˆ30 Β· ⭐ 12K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 +
PyTorch Image Models (πŸ₯ˆ30 Β· ⭐ 15K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/rwightman/pytorch-image-models) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 1.9K Β· πŸ“₯ 550K Β· πŸ“¦ 970 Β· πŸ“‹ 370 - 11% open Β· ⏱️ 19.08.2021): +- [GitHub](https://github.com/rwightman/pytorch-image-models) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 2.3K Β· πŸ“₯ 720K Β· πŸ“¦ 1.4K Β· πŸ“‹ 420 - 13% open Β· ⏱️ 14.11.2021): ``` git clone https://github.com/rwightman/pytorch-image-models ```
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GluonCV (πŸ₯ˆ30 Β· ⭐ 4.9K) - Gluon CV Toolkit. Apache-2 +
GluonCV (πŸ₯ˆ30 Β· ⭐ 5K) - Gluon CV Toolkit. Apache-2 -- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.1K Β· πŸ“¦ 560 Β· πŸ“‹ 790 - 8% open Β· ⏱️ 06.08.2021): +- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.1K Β· πŸ“¦ 610 Β· πŸ“‹ 800 - 8% open Β· ⏱️ 14.11.2021): ``` git clone https://github.com/dmlc/gluon-cv ``` -- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 660K / month Β· πŸ“¦ 30 Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 900K / month Β· πŸ“¦ 30 Β· ⏱️ 10.10.2021): ``` pip install gluoncv ```
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Face Recognition (πŸ₯ˆ29 Β· ⭐ 41K) - The world's simplest facial recognition api for Python.. MIT +
ImageHash (πŸ₯ˆ30 Β· ⭐ 2.2K) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/ageitgey/face_recognition) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 11K Β· πŸ“₯ 440 Β· πŸ“‹ 1.2K - 52% open Β· ⏱️ 14.06.2021): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 280 Β· πŸ“¦ 3.7K Β· πŸ“‹ 100 - 12% open Β· ⏱️ 07.09.2021): ``` - git clone https://github.com/ageitgey/face_recognition + git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/face_recognition) (πŸ“₯ 48K / month Β· πŸ“¦ 410 Β· ⏱️ 21.08.2018): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.2M / month Β· πŸ“¦ 530 Β· ⏱️ 15.07.2021): ``` - pip install face_recognition + pip install ImageHash + ``` +- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 160K Β· ⏱️ 15.07.2021): + ``` + conda install -c conda-forge imagehash ```
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detectron2 (πŸ₯ˆ29 Β· ⭐ 18K) - Detectron2 is FAIR's next-generation platform for object.. Apache-2 +
Face Recognition (πŸ₯ˆ29 Β· ⭐ 42K) - The world's simplest facial recognition api for Python.. MIT -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.6K Β· πŸ“¦ 290 Β· πŸ“‹ 2.6K - 4% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/ageitgey/face_recognition) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 12K Β· πŸ“₯ 450 Β· πŸ“‹ 1.2K - 54% open Β· ⏱️ 14.06.2021): ``` - git clone https://github.com/facebookresearch/detectron2 + git clone https://github.com/ageitgey/face_recognition ``` -- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 29K Β· ⏱️ 30.07.2021): +- [PyPi](https://pypi.org/project/face_recognition) (πŸ“₯ 53K / month Β· πŸ“¦ 410 Β· ⏱️ 21.08.2018): ``` - conda install -c conda-forge detectron2 + pip install face_recognition ```
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InsightFace (πŸ₯ˆ29 Β· ⭐ 10K) - State-of-the-art 2D and 3D Face Analysis Project. MIT +
InsightFace (πŸ₯ˆ29 Β· ⭐ 11K) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 3.3K Β· πŸ“¦ 92 Β· πŸ“‹ 1.7K - 53% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 3.5K Β· πŸ“¦ 110 Β· πŸ“‹ 1.8K - 54% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/deepinsight/insightface ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 17K / month Β· πŸ“¦ 2 Β· ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 20K / month Β· πŸ“¦ 2 Β· ⏱️ 21.09.2021): ``` pip install insightface ```
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Kornia (πŸ₯ˆ29 Β· ⭐ 4.4K) - Open Source Differentiable Computer Vision Library for PyTorch. Apache-2 +
Kornia (πŸ₯ˆ29 Β· ⭐ 5.3K) - Open Source Differentiable Computer Vision Library. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 440 Β· πŸ“₯ 94 Β· πŸ“¦ 570 Β· πŸ“‹ 450 - 25% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 510 Β· πŸ“₯ 150 Β· πŸ“¦ 760 Β· πŸ“‹ 500 - 23% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 190K / month Β· ⏱️ 06.08.2021): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 180K / month Β· ⏱️ 22.10.2021): ``` pip install kornia ```
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ImageHash (πŸ₯ˆ29 Β· ⭐ 2.1K) - A Python Perceptual Image Hashing Module. BSD-2 +
imutils (πŸ₯ˆ28 Β· ⭐ 3.9K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 270 Β· πŸ“¦ 3.2K Β· πŸ“‹ 100 - 12% open Β· ⏱️ 15.07.2021): +- [GitHub](https://github.com/PyImageSearch/imutils) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 940 Β· πŸ“¦ 21K Β· πŸ“‹ 160 - 52% open Β· ⏱️ 15.01.2021): ``` - git clone https://github.com/JohannesBuchner/imagehash + git clone https://github.com/jrosebr1/imutils ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 970K / month Β· πŸ“¦ 530 Β· ⏱️ 15.07.2021): +- [PyPi](https://pypi.org/project/imutils) (πŸ“₯ 430K / month Β· πŸ“¦ 1.2K Β· ⏱️ 15.01.2021): ``` - pip install ImageHash + pip install imutils ``` -- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 140K Β· ⏱️ 15.07.2021): +- [Conda](https://anaconda.org/conda-forge/imutils) (πŸ“₯ 72K Β· ⏱️ 15.01.2021): ``` - conda install -c conda-forge imagehash + conda install -c conda-forge imutils ```
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imutils (πŸ₯ˆ28 Β· ⭐ 3.8K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT +
imageai (πŸ₯ˆ27 Β· ⭐ 6.7K) - A python library built to empower developers to build applications and.. MIT -- [GitHub](https://github.com/jrosebr1/imutils) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 910 Β· πŸ“¦ 18K Β· πŸ“‹ 220 - 65% open Β· ⏱️ 15.01.2021): +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.9K Β· πŸ“₯ 660K Β· πŸ“¦ 990 Β· πŸ“‹ 670 - 37% open Β· ⏱️ 08.05.2021): ``` - git clone https://github.com/jrosebr1/imutils + git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/imutils) (πŸ“₯ 310K / month Β· πŸ“¦ 1.2K Β· ⏱️ 15.01.2021): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 9.7K / month Β· πŸ“¦ 24 Β· ⏱️ 05.01.2021): ``` - pip install imutils + pip install imageai + ``` +
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Augmentor (πŸ₯ˆ27 Β· ⭐ 4.6K) - Image augmentation library in Python for machine learning. MIT + +- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 830 Β· πŸ“¦ 380 Β· πŸ“‹ 190 - 63% open Β· ⏱️ 15.10.2021): + ``` -- [Conda](https://anaconda.org/conda-forge/imutils) (πŸ“₯ 62K Β· ⏱️ 15.01.2021): + git clone https://github.com/mdbloice/Augmentor ``` - conda install -c conda-forge imutils +- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 18K / month Β· πŸ“¦ 42 Β· ⏱️ 14.10.2021): + ``` + pip install Augmentor ```
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imageai (πŸ₯ˆ27 Β· ⭐ 6.4K) - A python library built to empower developers to build applications and.. MIT +
detectron2 (πŸ₯ˆ26 Β· ⭐ 19K Β· πŸ“‰) - Detectron2 is FAIR's next-generation platform for object.. Apache-2 -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.8K Β· πŸ“₯ 630K Β· πŸ“¦ 920 Β· πŸ“‹ 650 - 35% open Β· ⏱️ 08.05.2021): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 5K Β· πŸ“¦ 410 Β· πŸ“‹ 2.8K - 5% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/OlafenwaMoses/ImageAI + git clone https://github.com/facebookresearch/detectron2 ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 8.2K / month Β· πŸ“¦ 24 Β· ⏱️ 05.01.2021): +- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 34K Β· ⏱️ 30.07.2021): ``` - pip install imageai + conda install -c conda-forge detectron2 ```
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MMDetection (πŸ₯ˆ26 Β· ⭐ 16K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 +
MMDetection (πŸ₯ˆ26 Β· ⭐ 17K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 5.6K Β· πŸ“¦ 110 Β· πŸ“‹ 4.3K - 8% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 6.1K Β· πŸ“¦ 160 Β· πŸ“‹ 4.7K - 6% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/open-mmlab/mmdetection ```
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deepface (πŸ₯ˆ26 Β· ⭐ 2.2K) - DeepFace: A Lightweight Face Recognition and Facial Attribute Analysis.. MIT +
deepface (πŸ₯ˆ26 Β· ⭐ 2.7K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 470 Β· πŸ“¦ 230 Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 610 Β· πŸ“¦ 300 Β· πŸ“‹ 350 - 1% open Β· ⏱️ 13.11.2021): ``` git clone https://github.com/serengil/deepface ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 12K / month Β· ⏱️ 20.08.2021): +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 27K / month Β· ⏱️ 20.08.2021): ``` pip install deepface ```
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mtcnn (πŸ₯ˆ26 Β· ⭐ 1.6K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT +
mahotas (πŸ₯ˆ26 Β· ⭐ 720) - Computer Vision in Python. MIT -- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 420 Β· πŸ“¦ 1.4K Β· πŸ“‹ 99 - 62% open Β· ⏱️ 09.07.2021): +- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 140 Β· πŸ“¦ 710 Β· πŸ“‹ 76 - 21% open Β· ⏱️ 10.11.2021): ``` - git clone https://github.com/ipazc/mtcnn + git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mtcnn) (πŸ“₯ 21K / month Β· πŸ“¦ 42 Β· ⏱️ 09.07.2021): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 13K / month Β· πŸ“¦ 190 Β· ⏱️ 14.10.2021): ``` - pip install mtcnn + pip install mahotas + ``` +- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 310K Β· ⏱️ 22.01.2021): + ``` + conda install -c conda-forge mahotas ```
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facenet-pytorch (πŸ₯ˆ25 Β· ⭐ 2.3K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT +
Face Alignment (πŸ₯‰25 Β· ⭐ 5.3K) - 2D and 3D Face alignment library build using pytorch. BSD-3 -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 500 Β· πŸ“₯ 140K Β· πŸ“¦ 450 Β· πŸ“‹ 140 - 34% open Β· ⏱️ 23.05.2021): +- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 1.1K Β· πŸ“‹ 270 - 19% open Β· ⏱️ 04.08.2021): ``` - git clone https://github.com/timesler/facenet-pytorch + git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 11K / month Β· πŸ“¦ 6 Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 7.3K / month Β· πŸ“¦ 12 Β· ⏱️ 14.09.2021): ``` - pip install facenet-pytorch + pip install face-alignment ```
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mahotas (πŸ₯ˆ25 Β· ⭐ 700) - Computer Vision in Python. MIT +
mtcnn (πŸ₯‰25 Β· ⭐ 1.7K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT -- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 130 Β· πŸ“¦ 680 Β· πŸ“‹ 74 - 21% open Β· ⏱️ 31.05.2021): +- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 430 Β· πŸ“¦ 1.7K Β· πŸ“‹ 99 - 62% open Β· ⏱️ 09.07.2021): ``` - git clone https://github.com/luispedro/mahotas - ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 13K / month Β· πŸ“¦ 190 Β· ⏱️ 16.08.2020): - ``` - pip install mahotas + git clone https://github.com/ipazc/mtcnn ``` -- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 300K Β· ⏱️ 22.01.2021): +- [PyPi](https://pypi.org/project/mtcnn) (πŸ“₯ 32K / month Β· πŸ“¦ 42 Β· ⏱️ 09.07.2021): ``` - conda install -c conda-forge mahotas + pip install mtcnn ```
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Face Alignment (πŸ₯‰24 Β· ⭐ 5.1K) - 2D and 3D Face alignment library build using pytorch. BSD-3 +
facenet-pytorch (πŸ₯‰24 Β· ⭐ 2.5K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 1.1K Β· πŸ“‹ 260 - 16% open Β· ⏱️ 04.08.2021): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 540 Β· πŸ“₯ 160K Β· πŸ“¦ 540 Β· πŸ“‹ 140 - 36% open Β· ⏱️ 23.05.2021): ``` - git clone https://github.com/1adrianb/face-alignment + git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 5.8K / month Β· πŸ“¦ 12 Β· ⏱️ 28.04.2021): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 10K / month Β· πŸ“¦ 6 Β· ⏱️ 10.03.2021): ``` - pip install face-alignment + pip install facenet-pytorch ```
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CellProfiler (πŸ₯‰24 Β· ⭐ 600) - An open-source application for biological image analysis. BSD-3 +
vidgear (πŸ₯‰24 Β· ⭐ 2K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 290 Β· πŸ“₯ 1.4K Β· πŸ“¦ 4 Β· πŸ“‹ 3K - 5% open Β· ⏱️ 26.07.2021): +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 150 Β· πŸ“₯ 490 Β· πŸ“¦ 140 Β· πŸ“‹ 190 - 1% open Β· ⏱️ 27.10.2021): ``` - git clone https://github.com/CellProfiler/CellProfiler + git clone https://github.com/abhiTronix/vidgear ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1.3K / month Β· ⏱️ 04.09.2017): +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 3.1K / month Β· πŸ“¦ 2 Β· ⏱️ 27.10.2021): ``` - pip install cellprofiler + pip install vidgear ```
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pyvips (πŸ₯‰24 Β· ⭐ 350) - python binding for libvips using cffi. MIT +
pyvips (πŸ₯‰24 Β· ⭐ 360) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 30 Β· πŸ“¦ 210 Β· πŸ“‹ 240 - 35% open Β· ⏱️ 26.07.2021): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 31 Β· πŸ“¦ 240 Β· πŸ“‹ 250 - 35% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 12K / month Β· πŸ“¦ 22 Β· ⏱️ 28.06.2021): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 13K / month Β· πŸ“¦ 22 Β· ⏱️ 28.06.2021): ``` pip install pyvips ``` -- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 11K Β· ⏱️ 28.06.2021): +- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 13K Β· ⏱️ 10.09.2021): ``` conda install -c conda-forge pyvips ```
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Image Super-Resolution (πŸ₯‰23 Β· ⭐ 3K) - Super-scale your images and run experiments with.. Apache-2 +
Image Super-Resolution (πŸ₯‰23 Β· ⭐ 3.2K) - Super-scale your images and run experiments with.. Apache-2 -- [GitHub](https://github.com/idealo/image-super-resolution) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 550 Β· πŸ“¦ 59 Β· πŸ“‹ 180 - 41% open Β· ⏱️ 02.06.2021): +- [GitHub](https://github.com/idealo/image-super-resolution) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 570 Β· πŸ“¦ 65 Β· πŸ“‹ 190 - 41% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/idealo/image-super-resolution ``` -- [PyPi](https://pypi.org/project/ISR) (πŸ“₯ 5.8K / month Β· πŸ“¦ 8 Β· ⏱️ 08.01.2020): +- [PyPi](https://pypi.org/project/ISR) (πŸ“₯ 6.3K / month Β· πŸ“¦ 8 Β· ⏱️ 08.01.2020): ``` pip install ISR ``` -- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (πŸ“₯ 160 Β· ⏱️ 01.04.2019): +- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (πŸ“₯ 190 Β· ⏱️ 01.04.2019): ``` docker pull idealo/image-super-resolution-gpu ```
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tensorflow-graphics (πŸ₯‰23 Β· ⭐ 2.5K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 +
PaddleSeg (πŸ₯‰23 Β· ⭐ 3.1K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 -- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 300 Β· πŸ“‹ 210 - 58% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 670 Β· πŸ“¦ 370 Β· πŸ“‹ 760 - 48% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/tensorflow/graphics + git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 3.5K / month Β· πŸ“¦ 6 Β· ⏱️ 06.08.2021): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 680 / month Β· ⏱️ 13.10.2021): ``` - pip install tensorflow-graphics + pip install paddleseg ```
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PaddleSeg (πŸ₯‰23 Β· ⭐ 2.4K) - End-to-end image segmentation kit based on PaddlePaddle. Apache-2 +
layout-parser (πŸ₯‰23 Β· ⭐ 2.6K) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 530 Β· πŸ“¦ 270 Β· πŸ“‹ 620 - 53% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/Layout-Parser/layout-parser) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 240 Β· πŸ“¦ 29 Β· πŸ“‹ 64 - 51% open Β· ⏱️ 23.09.2021): ``` - git clone https://github.com/PaddlePaddle/PaddleSeg + git clone https://github.com/Layout-Parser/layout-parser ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 550 / month Β· ⏱️ 13.07.2021): +- [PyPi](https://pypi.org/project/layoutparser) (πŸ“₯ 3.9K / month Β· ⏱️ 23.09.2021): ``` - pip install paddleseg + pip install layoutparser ```
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Torch Points 3D (πŸ₯‰23 Β· ⭐ 1.4K) - Pytorch framework for doing deep learning on point clouds. BSD-3 +
tensorflow-graphics (πŸ₯‰23 Β· ⭐ 2.5K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 -- [GitHub](https://github.com/nicolas-chaulet/torch-points3d) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 220 Β· πŸ“¦ 3 Β· πŸ“‹ 270 - 26% open Β· ⏱️ 02.08.2021): +- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 320 Β· πŸ“‹ 210 - 58% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/nicolas-chaulet/torch-points3d + git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/torch-points3d) (πŸ“₯ 780 / month Β· ⏱️ 30.04.2021): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 3.3K / month Β· πŸ“¦ 6 Β· ⏱️ 21.10.2021): ``` - pip install torch-points3d + pip install tensorflow-graphics ```
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deep-daze (πŸ₯‰22 Β· ⭐ 3.7K) - Simple command line tool for text to image generation using OpenAI's.. MIT +
CellProfiler (πŸ₯‰23 Β· ⭐ 630) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/lucidrains/deep-daze) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 240 Β· πŸ“¦ 23 Β· πŸ“‹ 140 - 51% open Β· ⏱️ 04.07.2021): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 290 Β· πŸ“₯ 1.8K Β· πŸ“¦ 4 Β· πŸ“‹ 3K - 6% open Β· ⏱️ 05.11.2021): ``` - git clone https://github.com/lucidrains/deep-daze + git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/deep-daze) (πŸ“₯ 17K / month Β· ⏱️ 07.04.2021): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 860 / month Β· ⏱️ 04.09.2017): ``` - pip install deep-daze + pip install cellprofiler ```
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layout-parser (πŸ₯‰22 Β· ⭐ 2.4K) - A unified toolkit for Deep Learning Based Document Image.. Apache-2 +
vit-pytorch (πŸ₯‰22 Β· ⭐ 6.5K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/Layout-Parser/layout-parser) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 210 Β· πŸ“¦ 15 Β· πŸ“‹ 39 - 53% open Β· ⏱️ 21.08.2021): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 900 Β· πŸ“¦ 51 Β· πŸ“‹ 140 - 47% open Β· ⏱️ 14.11.2021): ``` - git clone https://github.com/Layout-Parser/layout-parser + git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/layoutparser) (πŸ“₯ 2.4K / month Β· ⏱️ 12.04.2021): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 4.8K / month Β· ⏱️ 13.11.2021): ``` - pip install layoutparser + pip install vit-pytorch ```
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vidgear (πŸ₯‰22 Β· ⭐ 1.9K) - High-performance cross-platform Video Processing Python framework.. Apache-2 +
deep-daze (πŸ₯‰22 Β· ⭐ 3.9K) - Simple command line tool for text to image generation using OpenAI's.. MIT -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 140 Β· πŸ“₯ 410 Β· πŸ“¦ 120 Β· πŸ“‹ 170 - 2% open Β· ⏱️ 25.04.2021): +- [GitHub](https://github.com/lucidrains/deep-daze) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 270 Β· πŸ“¦ 30 Β· πŸ“‹ 150 - 53% open Β· ⏱️ 19.10.2021): ``` - git clone https://github.com/abhiTronix/vidgear + git clone https://github.com/lucidrains/deep-daze ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 2K / month Β· πŸ“¦ 2 Β· ⏱️ 01.01.2021): +- [PyPi](https://pypi.org/project/deep-daze) (πŸ“₯ 23K / month Β· ⏱️ 19.10.2021): ``` - pip install vidgear + pip install deep-daze ```
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Classy Vision (πŸ₯‰22 Β· ⭐ 1.3K) - An end-to-end PyTorch framework for image and video.. MIT +
Image Deduplicator (πŸ₯‰22 Β· ⭐ 3.9K Β· πŸ’€) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/facebookresearch/ClassyVision) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 230 Β· πŸ“‹ 110 - 47% open Β· ⏱️ 12.08.2021): +- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 330 Β· πŸ“¦ 20 Β· πŸ“‹ 89 - 33% open Β· ⏱️ 23.11.2020): ``` - git clone https://github.com/facebookresearch/ClassyVision + git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 1.2K / month Β· ⏱️ 09.07.2021): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 2.5K / month Β· πŸ“¦ 2 Β· ⏱️ 22.11.2020): ``` - pip install classy_vision + pip install imagededup + ``` +
+
Torch Points 3D (πŸ₯‰22 Β· ⭐ 1.6K) - Pytorch framework for doing deep learning on point clouds. BSD-3 + +- [GitHub](https://github.com/nicolas-chaulet/torch-points3d) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“¦ 3 Β· πŸ“‹ 290 - 29% open Β· ⏱️ 09.11.2021): + + ``` + git clone https://github.com/nicolas-chaulet/torch-points3d ``` -- [Conda](https://anaconda.org/conda-forge/classy_vision) (πŸ“₯ 9.2K Β· ⏱️ 11.12.2020): +- [PyPi](https://pypi.org/project/torch-points3d) (πŸ“₯ 890 / month Β· ⏱️ 30.04.2021): ``` - conda install -c conda-forge classy_vision + pip install torch-points3d ```
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lightly (πŸ₯‰22 Β· ⭐ 1.2K) - A python library for self-supervised learning on images. MIT +
lightly (πŸ₯‰22 Β· ⭐ 1.3K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 68 Β· πŸ“¦ 18 Β· πŸ“‹ 220 - 25% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 82 Β· πŸ“¦ 24 Β· πŸ“‹ 250 - 20% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 1.6K / month Β· ⏱️ 25.08.2021): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 1.5K / month Β· ⏱️ 02.11.2021): ``` pip install lightly ```
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vit-pytorch (πŸ₯‰21 Β· ⭐ 5.5K) - Implementation of Vision Transformer, a simple way to achieve.. MIT +
pytorchvideo (πŸ₯‰21 Β· ⭐ 1.9K) - A deep learning library for video understanding research. Apache-2 -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 730 Β· πŸ“¦ 31 Β· πŸ“‹ 130 - 44% open Β· ⏱️ 21.08.2021): +- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 170 Β· πŸ“‹ 100 - 39% open Β· ⏱️ 02.11.2021): ``` - git clone https://github.com/lucidrains/vit-pytorch + git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 3.4K / month Β· ⏱️ 21.08.2021): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 9.6K / month Β· ⏱️ 14.09.2021): ``` - pip install vit-pytorch + pip install pytorchvideo ```
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MMF (πŸ₯‰21 Β· ⭐ 4.6K) - A modular framework for vision & language multimodal research from.. BSD-3 +
nude.py (πŸ₯‰21 Β· ⭐ 820 Β· πŸ’€) - Nudity detection with Python. MIT -- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 720 Β· πŸ“¦ 8 Β· πŸ“‹ 560 - 28% open Β· ⏱️ 20.08.2021): +- [GitHub](https://github.com/hhatto/nude.py) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 130 Β· πŸ“¦ 1.2K Β· πŸ“‹ 10 - 70% open Β· ⏱️ 23.11.2020): ``` - git clone https://github.com/facebookresearch/mmf + git clone https://github.com/hhatto/nude.py ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 380 / month Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/nudepy) (πŸ“₯ 7.9K / month Β· πŸ“¦ 18 Β· ⏱️ 23.11.2020): ``` - pip install mmf + pip install nudepy ```
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Image Deduplicator (πŸ₯‰21 Β· ⭐ 3.8K Β· πŸ’€) - Finding duplicate images made easy!. Apache-2 +
image-match (πŸ₯‰20 Β· ⭐ 2.7K) - Quickly search over billions of images. Apache-2 -- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 320 Β· πŸ“¦ 18 Β· πŸ“‹ 78 - 26% open Β· ⏱️ 23.11.2020): +- [GitHub](https://github.com/ProvenanceLabs/image-match) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 380 Β· πŸ“‹ 100 - 53% open Β· ⏱️ 21.09.2021): ``` - git clone https://github.com/idealo/imagededup + git clone https://github.com/ProvenanceLabs/image-match ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 2.9K / month Β· πŸ“¦ 2 Β· ⏱️ 22.11.2020): +- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 980 / month Β· πŸ“¦ 6 Β· ⏱️ 13.02.2017): ``` - pip install imagededup + pip install image_match ```
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vissl (πŸ₯‰21 Β· ⭐ 1.9K) - VISSL is FAIR's library of extensible, modular and scalable components.. MIT +
vissl (πŸ₯‰20 Β· ⭐ 2.2K) - VISSL is FAIR's library of extensible, modular and scalable components.. MIT -- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 180 Β· πŸ“‹ 89 - 41% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 210 Β· πŸ“¦ 3 Β· πŸ“‹ 130 - 34% open Β· ⏱️ 08.11.2021): ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 390 / month Β· ⏱️ 25.01.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 260 / month Β· ⏱️ 02.11.2021): ``` pip install vissl ```
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nude.py (πŸ₯‰20 Β· ⭐ 810 Β· πŸ’€) - Nudity detection with Python. MIT +
Classy Vision (πŸ₯‰20 Β· ⭐ 1.4K) - An end-to-end PyTorch framework for image and video.. MIT -- [GitHub](https://github.com/hhatto/nude.py) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 130 Β· πŸ“¦ 680 Β· πŸ“‹ 9 - 77% open Β· ⏱️ 23.11.2020): +- [GitHub](https://github.com/facebookresearch/ClassyVision) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 240 Β· πŸ“‹ 110 - 46% open Β· ⏱️ 07.10.2021): ``` - git clone https://github.com/hhatto/nude.py + git clone https://github.com/facebookresearch/ClassyVision ``` -- [PyPi](https://pypi.org/project/nudepy) (πŸ“₯ 3.8K / month Β· πŸ“¦ 18 Β· ⏱️ 23.11.2020): +- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 3.4K / month Β· ⏱️ 09.07.2021): ``` - pip install nudepy + pip install classy_vision ``` -
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PaddleDetection (πŸ₯‰19 Β· ⭐ 4.5K) - Object detection and instance segmentation toolkit.. Apache-2 - -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 1.2K Β· πŸ“¦ 5 Β· πŸ“‹ 2.3K - 23% open Β· ⏱️ 26.08.2021): - +- [Conda](https://anaconda.org/conda-forge/classy_vision) (πŸ“₯ 10K Β· ⏱️ 11.12.2020): ``` - git clone https://github.com/PaddlePaddle/PaddleDetection + conda install -c conda-forge classy_vision ```
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image-match (πŸ₯‰19 Β· ⭐ 2.6K Β· πŸ’€) - Quickly search over billions of images. Apache-2 +
Norfair (πŸ₯‰20 Β· ⭐ 1.1K) - Lightweight Python library for adding real-time object tracking to any.. BSD-3 -- [GitHub](https://github.com/ProvenanceLabs/image-match) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 370 Β· πŸ“‹ 95 - 49% open Β· ⏱️ 04.01.2021): +- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 84 Β· πŸ“‹ 39 - 20% open Β· ⏱️ 01.10.2021): ``` - git clone https://github.com/ProvenanceLabs/image-match + git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 580 / month Β· πŸ“¦ 6 Β· ⏱️ 13.02.2017): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 2.9K / month Β· ⏱️ 29.07.2021): ``` - pip install image_match + pip install norfair ```
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pytorchvideo (πŸ₯‰19 Β· ⭐ 1.7K Β· 🐣) - A deep learning library for video understanding.. Apache-2 +
Caer (πŸ₯‰20 Β· ⭐ 570) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT -- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 140 Β· πŸ“‹ 76 - 47% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/jasmcaus/caer) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 100 Β· πŸ“₯ 19 Β· πŸ“‹ 15 - 13% open Β· ⏱️ 13.10.2021): ``` - git clone https://github.com/facebookresearch/pytorchvideo + git clone https://github.com/jasmcaus/caer ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 5.2K / month Β· ⏱️ 26.06.2021): +- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 4.4K / month Β· ⏱️ 13.10.2021): ``` - pip install pytorchvideo + pip install caer ```
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Norfair (πŸ₯‰19 Β· ⭐ 1.1K) - Lightweight Python library for adding real-time object tracking to any.. BSD-3 +
PaddleDetection (πŸ₯‰19 Β· ⭐ 4.9K) - Object detection and instance segmentation toolkit.. Apache-2 -- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 79 Β· πŸ“‹ 38 - 23% open Β· ⏱️ 29.07.2021): +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 1.3K Β· πŸ“¦ 6 Β· πŸ“‹ 2.6K - 27% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/tryolabs/norfair - ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 2.4K / month Β· ⏱️ 29.07.2021): - ``` - pip install norfair + git clone https://github.com/PaddlePaddle/PaddleDetection ```
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Caer (πŸ₯‰19 Β· ⭐ 530) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT +
MMF (πŸ₯‰19 Β· ⭐ 4.7K) - A modular framework for vision & language multimodal research from.. BSD-3 -- [GitHub](https://github.com/jasmcaus/caer) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 83 Β· πŸ“₯ 19 Β· πŸ“‹ 13 - 23% open Β· ⏱️ 19.08.2021): +- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 780 Β· πŸ“¦ 9 Β· πŸ“‹ 600 - 31% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/jasmcaus/caer + git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 4.3K / month Β· ⏱️ 28.01.2021): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 510 / month Β· ⏱️ 12.06.2020): ``` - pip install caer + pip install mmf ```
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PySlowFast (πŸ₯‰17 Β· ⭐ 4.1K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 +
DEβ«ΆTR (πŸ₯‰16 Β· ⭐ 7.9K) - End-to-End Object Detection with Transformers. Apache-2 -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 770 Β· πŸ“¦ 4 Β· πŸ“‹ 450 - 49% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 1.4K Β· πŸ“‹ 400 - 32% open Β· ⏱️ 18.10.2021): ``` - git clone https://github.com/facebookresearch/SlowFast + git clone https://github.com/facebookresearch/detr ```
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DEβ«ΆTR (πŸ₯‰16 Β· ⭐ 7.4K) - End-to-End Object Detection with Transformers. Apache-2 +
PySlowFast (πŸ₯‰15 Β· ⭐ 4.3K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 1.2K Β· πŸ“‹ 360 - 27% open Β· ⏱️ 30.06.2021): +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 840 Β· πŸ“¦ 5 Β· πŸ“‹ 470 - 50% open Β· ⏱️ 28.10.2021): ``` - git clone https://github.com/facebookresearch/detr + git clone https://github.com/facebookresearch/SlowFast ```
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pycls (πŸ₯‰16 Β· ⭐ 1.7K) - Codebase for Image Classification Research, written in PyTorch. MIT +
pycls (πŸ₯‰15 Β· ⭐ 1.8K) - Codebase for Image Classification Research, written in PyTorch. MIT -- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 180 Β· πŸ“¦ 3 Β· πŸ“‹ 69 - 24% open Β· ⏱️ 19.08.2021): +- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 200 Β· πŸ“¦ 4 Β· πŸ“‹ 72 - 26% open Β· ⏱️ 19.08.2021): ``` git clone https://github.com/facebookresearch/pycls ```
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Show 9 hidden projects... +
Show 8 hidden projects... - imgaug (πŸ₯‡32 Β· ⭐ 12K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT -- glfw (πŸ₯ˆ30 Β· ⭐ 8K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib -- Augmentor (πŸ₯ˆ25 Β· ⭐ 4.5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT -- chainercv (πŸ₯ˆ25 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT -- Pillow-SIMD (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - The friendly PIL fork. ❗️PIL -- PyTorch3D (πŸ₯‰22 Β· ⭐ 5.1K) - PyTorch3D is FAIR's library of reusable components for.. ❗Unlicensed -- segmentation_models (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT -- Luminoth (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 +- glfw (πŸ₯ˆ31 Β· ⭐ 8.3K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- chainercv (πŸ₯‰25 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT +- PyTorch3D (πŸ₯‰22 Β· ⭐ 5.4K) - PyTorch3D is FAIR's library of reusable components for.. ❗Unlicensed +- segmentation_models (πŸ₯‰22 Β· ⭐ 3.5K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT +- Pillow-SIMD (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - The friendly PIL fork. ❗️PIL +- Luminoth (πŸ₯‰21 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - solt (πŸ₯‰17 Β· ⭐ 250 Β· πŸ’€) - Streaming over lightweight data transformations. MIT

@@ -2888,90 +2880,90 @@ _Libraries for image & video processing, manipulation, and augmentation as well _Libraries for graph processing, clustering, embedding, and machine learning tasks._ -
networkx (πŸ₯‡35 Β· ⭐ 9.6K) - Network Analysis in Python. BSD-3 +
networkx (πŸ₯‡35 Β· ⭐ 9.9K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 540 Β· πŸ”€ 2.4K Β· πŸ“₯ 56 Β· πŸ“¦ 83K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 550 Β· πŸ”€ 2.4K Β· πŸ“₯ 57 Β· πŸ“¦ 90K Β· πŸ“‹ 2.8K - 11% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 14M / month Β· πŸ“¦ 21K Β· ⏱️ 27.07.2021): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 21M / month Β· πŸ“¦ 21K Β· ⏱️ 09.09.2021): ``` pip install networkx ``` -- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 4.3M Β· ⏱️ 27.07.2021): +- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 5M Β· ⏱️ 26.10.2021): ``` conda install -c conda-forge networkx ```
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PyTorch Geometric (πŸ₯‡29 Β· ⭐ 12K) - Geometric Deep Learning Extension Library for PyTorch. MIT +
dgl (πŸ₯‡30 Β· ⭐ 8.4K) - Python package built to ease deep learning on graph, on top of existing.. Apache-2 -- [GitHub](https://github.com/rusty1s/pytorch_geometric) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2K Β· πŸ“‹ 2.1K - 38% open Β· ⏱️ 20.08.2021): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.8K Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/rusty1s/pytorch_geometric + git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 39K / month Β· πŸ“¦ 24 Β· ⏱️ 26.06.2021): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 88K / month Β· πŸ“¦ 30 Β· ⏱️ 27.05.2021): ``` - pip install torch-geometric + pip install dgl ```
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dgl (πŸ₯‡29 Β· ⭐ 7.9K) - Python package built to ease deep learning on graph, on top of existing.. Apache-2 +
PyTorch Geometric (πŸ₯‡29 Β· ⭐ 13K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.7K Β· πŸ“‹ 1.2K - 22% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.2K Β· πŸ“‹ 2.3K - 37% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/dmlc/dgl + git clone https://github.com/rusty1s/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 72K / month Β· πŸ“¦ 30 Β· ⏱️ 27.05.2021): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 45K / month Β· πŸ“¦ 24 Β· ⏱️ 26.10.2021): ``` - pip install dgl + pip install torch-geometric ```
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StellarGraph (πŸ₯ˆ26 Β· ⭐ 2.1K) - StellarGraph - Machine Learning on Graphs. Apache-2 +
StellarGraph (πŸ₯ˆ26 Β· ⭐ 2.2K) - StellarGraph - Machine Learning on Graphs. Apache-2 -- [GitHub](https://github.com/stellargraph/stellargraph) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 300 Β· πŸ“¦ 83 Β· πŸ“‹ 970 - 25% open Β· ⏱️ 18.02.2021): +- [GitHub](https://github.com/stellargraph/stellargraph) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 320 Β· πŸ“¦ 93 Β· πŸ“‹ 980 - 25% open Β· ⏱️ 29.10.2021): ``` git clone https://github.com/stellargraph/stellargraph ``` -- [PyPi](https://pypi.org/project/stellargraph) (πŸ“₯ 14K / month Β· πŸ“¦ 4 Β· ⏱️ 30.06.2020): +- [PyPi](https://pypi.org/project/stellargraph) (πŸ“₯ 9K / month Β· πŸ“¦ 4 Β· ⏱️ 30.06.2020): ``` pip install stellargraph ```
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Spektral (πŸ₯ˆ24 Β· ⭐ 1.8K) - Graph Neural Networks with Keras and Tensorflow 2. MIT +
ogb (πŸ₯ˆ25 Β· ⭐ 1.1K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT -- [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“¦ 72 Β· πŸ“‹ 170 - 14% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 180 Β· ⏱️ 08.11.2021): ``` - git clone https://github.com/danielegrattarola/spektral + git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 4.2K / month Β· ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 9.2K / month Β· ⏱️ 29.09.2021): ``` - pip install spektral + pip install ogb ```
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ogb (πŸ₯ˆ23 Β· ⭐ 1.1K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT +
Spektral (πŸ₯ˆ24 Β· ⭐ 1.9K) - Graph Neural Networks with Keras and Tensorflow 2. MIT -- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 210 Β· πŸ“¦ 150 Β· πŸ“‹ 160 - 0% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 250 Β· πŸ“¦ 82 Β· πŸ“‹ 190 - 18% open Β· ⏱️ 26.10.2021): ``` - git clone https://github.com/snap-stanford/ogb + git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 7.5K / month Β· ⏱️ 07.04.2021): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 5.4K / month Β· ⏱️ 23.08.2021): ``` - pip install ogb + pip install spektral ```
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Node2Vec (πŸ₯ˆ23 Β· ⭐ 750) - Implementation of the node2vec algorithm. MIT +
Node2Vec (πŸ₯ˆ23 Β· ⭐ 800) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 180 Β· πŸ“¦ 180 Β· πŸ“‹ 68 - 4% open Β· ⏱️ 16.04.2021): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 180 Β· ⏱️ 09.10.2021): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 8K / month Β· πŸ“¦ 10 Β· ⏱️ 02.04.2021): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 210K / month Β· πŸ“¦ 10 Β· ⏱️ 09.10.2021): ``` pip install node2vec ``` @@ -2982,7 +2974,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
AmpliGraph (πŸ₯ˆ22 Β· ⭐ 1.6K) - Python library for Representation Learning on Knowledge.. Apache-2 -- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 170 Β· πŸ“¦ 15 Β· πŸ“‹ 200 - 11% open Β· ⏱️ 25.05.2021): +- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 180 Β· πŸ“¦ 16 Β· πŸ“‹ 200 - 9% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/Accenture/AmpliGraph @@ -2992,167 +2984,160 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas pip install ampligraph ```
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pygraphistry (πŸ₯ˆ22 Β· ⭐ 1.4K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 +
pygraphistry (πŸ₯ˆ22 Β· ⭐ 1.5K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 140 Β· πŸ“¦ 48 Β· πŸ“‹ 160 - 35% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 140 Β· πŸ“¦ 51 Β· πŸ“‹ 170 - 37% open Β· ⏱️ 18.10.2021): ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 940 / month Β· πŸ“¦ 4 Β· ⏱️ 24.08.2021): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 980 / month Β· πŸ“¦ 4 Β· ⏱️ 18.10.2021): ``` pip install graphistry ```
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torch-cluster (πŸ₯ˆ22 Β· ⭐ 400) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +
Paddle Graph Learning (πŸ₯ˆ21 Β· ⭐ 1.1K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 77 Β· πŸ“‹ 86 - 46% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 180 Β· πŸ“¦ 21 Β· πŸ“‹ 100 - 39% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/rusty1s/pytorch_cluster + git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 8.4K / month Β· πŸ“¦ 32 Β· ⏱️ 01.03.2021): +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 730 / month Β· πŸ“¦ 2 Β· ⏱️ 10.07.2021): ``` - pip install torch-cluster + pip install pgl ```
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PyTorch-BigGraph (πŸ₯‰21 Β· ⭐ 2.9K) - Generate embeddings from large-scale graph-structured.. BSD-3 +
graph4nlp (πŸ₯ˆ21 Β· ⭐ 1.1K) - Graph4nlp is the library for the easy use of Graph Neural.. Apache-2 -- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 380 Β· πŸ“₯ 120 Β· πŸ“‹ 160 - 29% open Β· ⏱️ 19.08.2021): +- [GitHub](https://github.com/graph4ai/graph4nlp) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 120 Β· πŸ“‹ 80 - 3% open Β· ⏱️ 27.09.2021): ``` - git clone https://github.com/facebookresearch/PyTorch-BigGraph + git clone https://github.com/graph4ai/graph4nlp ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 600 / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2019): +- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 220 / month Β· ⏱️ 29.09.2021): ``` - pip install torchbiggraph + pip install graph4nlp ```
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Paddle Graph Learning (πŸ₯‰20 Β· ⭐ 1.1K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 +
torch-cluster (πŸ₯ˆ21 Β· ⭐ 440) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 170 Β· πŸ“¦ 20 Β· πŸ“‹ 90 - 34% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 82 Β· πŸ“‹ 120 - 31% open Β· ⏱️ 13.11.2021): ``` - git clone https://github.com/PaddlePaddle/PGL + git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 890 / month Β· πŸ“¦ 2 Β· ⏱️ 10.07.2021): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 10K / month Β· πŸ“¦ 32 Β· ⏱️ 01.03.2021): ``` - pip install pgl + pip install torch-cluster ```
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graph4nlp (πŸ₯‰19 Β· ⭐ 980) - Graph4nlp is the library for the easy use of Graph Neural.. Apache-2 +
PyTorch-BigGraph (πŸ₯‰20 Β· ⭐ 2.9K) - Generate embeddings from large-scale graph-structured.. BSD-3 -- [GitHub](https://github.com/graph4ai/graph4nlp) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 100 Β· πŸ“‹ 69 - 7% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 390 Β· πŸ“₯ 120 Β· πŸ“‹ 170 - 31% open Β· ⏱️ 27.10.2021): ``` - git clone https://github.com/graph4ai/graph4nlp + git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 170 / month Β· ⏱️ 06.06.2021): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 1.2K / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2019): ``` - pip install graph4nlp + pip install torchbiggraph ```
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pytorch_geometric_temporal (πŸ₯‰19 Β· ⭐ 950) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT +
pytorch_geometric_temporal (πŸ₯‰20 Β· ⭐ 1.2K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT -- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 120 Β· πŸ“‹ 53 - 5% open Β· ⏱️ 17.08.2021): +- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 150 Β· πŸ“‹ 65 - 3% open Β· ⏱️ 02.11.2021): ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 1.2K / month Β· ⏱️ 04.08.2021): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 970 / month Β· ⏱️ 11.09.2021): ``` pip install torch-geometric-temporal ```
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PyKEEN (πŸ₯‰19 Β· ⭐ 510) - A Python library for learning and evaluating knowledge graph embeddings. MIT +
PyKEEN (πŸ₯‰20 Β· ⭐ 590) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 76 Β· πŸ“₯ 92 Β· πŸ“‹ 260 - 34% open Β· ⏱️ 20.08.2021): +- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 83 Β· πŸ“₯ 92 Β· πŸ“‹ 300 - 34% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 690 / month Β· πŸ“¦ 2 Β· ⏱️ 13.06.2021): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 840 / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` pip install pykeen ```
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graph-nets (πŸ₯‰18 Β· ⭐ 5K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 +
graph-nets (πŸ₯‰19 Β· ⭐ 5K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 -- [GitHub](https://github.com/deepmind/graph_nets) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 750 Β· πŸ“‹ 120 - 5% open Β· ⏱️ 04.12.2020): +- [GitHub](https://github.com/deepmind/graph_nets) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 760 Β· πŸ“‹ 120 - 5% open Β· ⏱️ 04.12.2020): ``` - git clone https://github.com/deepmind/graph_nets - ``` -- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 790 / month Β· πŸ“¦ 7 Β· ⏱️ 29.01.2020): - ``` - pip install graph-nets - ``` -
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GraphEmbedding (πŸ₯‰16 Β· ⭐ 2.2K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT - -- [GitHub](https://github.com/shenweichen/GraphEmbedding) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 670 Β· πŸ“¦ 12 Β· πŸ“‹ 49 - 71% open Β· ⏱️ 18.10.2020): - + git clone https://github.com/deepmind/graph_nets + ``` +- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 1.1K / month Β· πŸ“¦ 7 Β· ⏱️ 29.01.2020): ``` - git clone https://github.com/shenweichen/GraphEmbedding + pip install graph-nets ```
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kglib (πŸ₯‰15 Β· ⭐ 450 Β· πŸ’€) - Grakn Knowledge Graph Library (ML R&D). Apache-2 +
kglib (πŸ₯‰16 Β· ⭐ 480) - Grakn Knowledge Graph Library (ML R&D). Apache-2 -- [GitHub](https://github.com/vaticle/kglib) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 84 Β· πŸ“₯ 210 Β· πŸ“‹ 61 - 19% open Β· ⏱️ 15.01.2021): +- [GitHub](https://github.com/vaticle/kglib) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 85 Β· πŸ“₯ 210 Β· πŸ“‹ 61 - 19% open Β· ⏱️ 22.10.2021): ``` git clone https://github.com/vaticle/kglib ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 110 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 87 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ```
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AutoGL (πŸ₯‰14 Β· ⭐ 670) - An autoML framework & toolkit for machine learning on graphs. Apache-2 +
OpenKE (πŸ₯‰14 Β· ⭐ 2.8K Β· πŸ’€) - An Open-Source Package for Knowledge Embedding (KE). MIT -- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 70 Β· πŸ“‹ 13 - 38% open Β· ⏱️ 12.08.2021): +- [GitHub](https://github.com/thunlp/OpenKE) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 820 Β· πŸ“‹ 380 - 18% open Β· ⏱️ 06.04.2021): ``` - git clone https://github.com/THUMNLab/AutoGL - ``` -- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 47 / month Β· ⏱️ 23.12.2020): - ``` - pip install auto-graph-learning + git clone https://github.com/thunlp/OpenKE ```
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OpenKE (πŸ₯‰13 Β· ⭐ 2.7K) - An Open-Source Package for Knowledge Embedding (KE). MIT +
AutoGL (πŸ₯‰14 Β· ⭐ 710) - An autoML framework & toolkit for machine learning on graphs. Apache-2 -- [GitHub](https://github.com/thunlp/OpenKE) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 810 Β· πŸ“‹ 300 - 24% open Β· ⏱️ 06.04.2021): +- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 70 Β· πŸ“‹ 15 - 33% open Β· ⏱️ 12.08.2021): ``` - git clone https://github.com/thunlp/OpenKE + git clone https://github.com/THUMNLab/AutoGL + ``` +- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 53 / month Β· ⏱️ 23.12.2020): + ``` + pip install auto-graph-learning ```
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GraphVite (πŸ₯‰12 Β· ⭐ 930 Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 +
GraphVite (πŸ₯‰11 Β· ⭐ 970 Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 -- [GitHub](https://github.com/DeepGraphLearning/graphvite) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 130 Β· πŸ“‹ 86 - 34% open Β· ⏱️ 14.01.2021): +- [GitHub](https://github.com/DeepGraphLearning/graphvite) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 130 Β· πŸ“‹ 91 - 38% open Β· ⏱️ 14.01.2021): ``` git clone https://github.com/DeepGraphLearning/graphvite ``` -- [Conda](https://anaconda.org/milagraph/graphvite) (πŸ“₯ 3.9K Β· ⏱️ 19.03.2020): +- [Conda](https://anaconda.org/milagraph/graphvite) (πŸ“₯ 4K Β· ⏱️ 19.03.2020): ``` conda install -c milagraph graphvite ```
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Show 11 hidden projects... +
Show 12 hidden projects... -- igraph (πŸ₯‡28 Β· ⭐ 860) - Python interface for igraph. ❗️GPL-2.0 -- pygal (πŸ₯ˆ27 Β· ⭐ 2.4K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 -- Karate Club (πŸ₯ˆ24 Β· ⭐ 1.4K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 -- DeepWalk (πŸ₯‰21 Β· ⭐ 2.3K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 +- igraph (πŸ₯‡27 Β· ⭐ 890) - Python interface for igraph. ❗️GPL-2.0 +- pygal (πŸ₯ˆ26 Β· ⭐ 2.4K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- Karate Club (πŸ₯ˆ23 Β· ⭐ 1.4K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 +- DeepWalk (πŸ₯ˆ21 Β· ⭐ 2.3K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - pyRDF2Vec (πŸ₯‰18 Β· ⭐ 130) - Python Implementation and Extension of RDF2Vec. MIT -- DIG (πŸ₯‰17 Β· ⭐ 850) - A library for graph deep learning research. ❗️GPL-3.0 -- Sematch (πŸ₯‰17 Β· ⭐ 360 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 -- DeepGraph (πŸ₯‰17 Β· ⭐ 240) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 -- Euler (πŸ₯‰15 Β· ⭐ 2.6K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 -- GraphSAGE (πŸ₯‰14 Β· ⭐ 2.4K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT -- OpenNE (πŸ₯‰13 Β· ⭐ 1.5K Β· πŸ’€) - An Open-Source Package for Network Embedding (NE). MIT +- DIG (πŸ₯‰17 Β· ⭐ 940) - A library for graph deep learning research. ❗️GPL-3.0 +- Sematch (πŸ₯‰17 Β· ⭐ 370 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 +- DeepGraph (πŸ₯‰17 Β· ⭐ 250) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 +- GraphEmbedding (πŸ₯‰16 Β· ⭐ 2.4K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT +- Euler (πŸ₯‰14 Β· ⭐ 2.7K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 +- OpenNE (πŸ₯‰14 Β· ⭐ 1.5K Β· πŸ’€) - An Open-Source Package for Network Embedding (NE). MIT +- GraphSAGE (πŸ₯‰13 Β· ⭐ 2.5K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT

@@ -3162,278 +3147,263 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas _Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._ -
Pydub (πŸ₯‡31 Β· ⭐ 5.5K) - Manipulate audio with a simple and easy high level interface. MIT +
Pydub (πŸ₯‡30 Β· ⭐ 5.7K) - Manipulate audio with a simple and easy high level interface. MIT -- [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 740 Β· πŸ“¦ 8.4K Β· πŸ“‹ 450 - 45% open Β· ⏱️ 08.06.2021): +- [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 760 Β· πŸ“¦ 9.5K Β· πŸ“‹ 460 - 44% open Β· ⏱️ 08.06.2021): ``` git clone https://github.com/jiaaro/pydub ``` -- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 1.9M / month Β· πŸ“¦ 1.4K Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 1M / month Β· πŸ“¦ 1.4K Β· ⏱️ 10.03.2021): ``` pip install pydub ``` -- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 17K Β· ⏱️ 13.03.2021): +- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 19K Β· ⏱️ 13.03.2021): ``` conda install -c conda-forge pydub ```
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librosa (πŸ₯‡28 Β· ⭐ 4.7K) - Python library for audio and music analysis. ISC +
espnet (πŸ₯‡28 Β· ⭐ 4.4K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 740 Β· πŸ“‹ 900 - 5% open Β· ⏱️ 01.07.2021): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.4K Β· πŸ“₯ 73 Β· πŸ“¦ 25 Β· πŸ“‹ 1.6K - 16% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/librosa/librosa - ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 540K / month Β· πŸ“¦ 1.8K Β· ⏱️ 26.05.2021): - ``` - pip install librosa + git clone https://github.com/espnet/espnet ``` -- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 380K Β· ⏱️ 26.05.2021): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 4.2K / month Β· ⏱️ 10.11.2021): ``` - conda install -c conda-forge librosa + pip install espnet ```
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espnet (πŸ₯ˆ27 Β· ⭐ 4.1K) - End-to-End Speech Processing Toolkit. Apache-2 +
librosa (πŸ₯ˆ27 Β· ⭐ 4.8K) - Python library for audio and music analysis. ISC -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.3K Β· πŸ“₯ 73 Β· πŸ“¦ 17 Β· πŸ“‹ 1.5K - 15% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 770 Β· πŸ“‹ 930 - 5% open Β· ⏱️ 14.11.2021): ``` - git clone https://github.com/espnet/espnet + git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 4.2K / month Β· ⏱️ 12.08.2021): +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 480K / month Β· πŸ“¦ 1.8K Β· ⏱️ 26.05.2021): ``` - pip install espnet + pip install librosa + ``` +- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 410K Β· ⏱️ 26.05.2021): + ``` + conda install -c conda-forge librosa ```
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pyAudioAnalysis (πŸ₯ˆ27 Β· ⭐ 4.1K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 +
pyAudioAnalysis (πŸ₯ˆ27 Β· ⭐ 4.2K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 -- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 1K Β· πŸ“¦ 230 Β· πŸ“‹ 280 - 61% open Β· ⏱️ 05.08.2021): +- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 1K Β· πŸ“¦ 240 Β· πŸ“‹ 290 - 60% open Β· ⏱️ 12.11.2021): ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 11K / month Β· πŸ“¦ 22 Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 16K / month Β· πŸ“¦ 22 Β· ⏱️ 12.11.2021): ``` pip install pyAudioAnalysis ```
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Magenta (πŸ₯ˆ26 Β· ⭐ 17K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 +
torchaudio (πŸ₯ˆ27 Β· ⭐ 1.5K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 3.5K Β· πŸ“¦ 310 Β· πŸ“‹ 880 - 35% open Β· ⏱️ 30.06.2021): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“‹ 560 - 23% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/magenta/magenta + git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 4.6K / month Β· πŸ“¦ 70 Β· ⏱️ 12.11.2020): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 310K / month Β· πŸ“¦ 18 Β· ⏱️ 21.10.2021): ``` - pip install magenta + pip install torchaudio ```
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torchaudio (πŸ₯ˆ26 Β· ⭐ 1.4K) - Data manipulation and transformation for audio signal.. BSD-2 +
Magenta (πŸ₯ˆ26 Β· ⭐ 17K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 330 Β· πŸ“‹ 550 - 28% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 3.5K Β· πŸ“¦ 320 Β· πŸ“‹ 890 - 36% open Β· ⏱️ 30.06.2021): ``` - git clone https://github.com/pytorch/audio + git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 270K / month Β· πŸ“¦ 18 Β· ⏱️ 15.06.2021): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 7K / month Β· πŸ“¦ 70 Β· ⏱️ 12.11.2020): ``` - pip install torchaudio + pip install magenta ```
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audioread (πŸ₯ˆ26 Β· ⭐ 370 Β· πŸ’€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT +
spleeter (πŸ₯ˆ25 Β· ⭐ 18K) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 83 Β· πŸ“¦ 6K Β· πŸ“‹ 75 - 41% open Β· ⏱️ 20.10.2020): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.3M Β· πŸ“‹ 600 - 16% open Β· ⏱️ 03.09.2021): ``` - git clone https://github.com/beetbox/audioread + git clone https://github.com/deezer/spleeter ``` -- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 560K / month Β· πŸ“¦ 590 Β· ⏱️ 20.10.2020): +- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 8.9K / month Β· ⏱️ 03.09.2021): ``` - pip install audioread + pip install spleeter ``` -- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 330K Β· ⏱️ 16.03.2021): +- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 61K Β· ⏱️ 30.06.2020): ``` - conda install -c conda-forge audioread + conda install -c conda-forge spleeter ```
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DeepSpeech (πŸ₯ˆ25 Β· ⭐ 18K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +
python_speech_features (πŸ₯ˆ25 Β· ⭐ 2K Β· πŸ’€) - This library provides common speech features for ASR.. MIT -- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 3.2K): +- [GitHub](https://github.com/jameslyons/python_speech_features) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 570 Β· πŸ“‹ 74 - 31% open Β· ⏱️ 31.12.2020): ``` - git clone https://github.com/mozilla/DeepSpeech + git clone https://github.com/jameslyons/python_speech_features ``` -- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 13K / month Β· πŸ“¦ 58 Β· ⏱️ 19.12.2020): +- [PyPi](https://pypi.org/project/python_speech_features) (πŸ“₯ 110K / month Β· πŸ“¦ 300 Β· ⏱️ 16.08.2017): ``` - pip install deepspeech + pip install python_speech_features ```
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spleeter (πŸ₯ˆ25 Β· ⭐ 17K) - Deezer source separation library including pretrained models. MIT +
python-soundfile (πŸ₯ˆ25 Β· ⭐ 420) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.2M Β· πŸ“‹ 580 - 16% open Β· ⏱️ 02.06.2021): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 57 Β· πŸ“₯ 2.7K Β· πŸ“‹ 160 - 38% open Β· ⏱️ 26.10.2021): ``` - git clone https://github.com/deezer/spleeter - ``` -- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 8.8K / month Β· ⏱️ 15.04.2021): - ``` - pip install spleeter + git clone https://github.com/bastibe/python-soundfile ``` -- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 58K Β· ⏱️ 30.06.2020): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 830K / month Β· πŸ“¦ 740 Β· ⏱️ 27.11.2019): ``` - conda install -c conda-forge spleeter + pip install soundfile ```
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python-soundfile (πŸ₯ˆ25 Β· ⭐ 400 Β· πŸ’€) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3 +
DeepSpeech (πŸ₯‰24 Β· ⭐ 18K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0 -- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 52 Β· πŸ“₯ 2.5K Β· πŸ“¦ 8.5K Β· πŸ“‹ 160 - 39% open Β· ⏱️ 01.12.2020): +- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.3K): ``` - git clone https://github.com/bastibe/python-soundfile + git clone https://github.com/mozilla/DeepSpeech ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 810K / month Β· πŸ“¦ 740 Β· ⏱️ 27.11.2019): +- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 13K / month Β· πŸ“¦ 58 Β· ⏱️ 19.12.2020): ``` - pip install soundfile + pip install deepspeech ```
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python_speech_features (πŸ₯‰24 Β· ⭐ 1.9K Β· πŸ’€) - This library provides common speech features for ASR.. MIT +
kapre (πŸ₯‰24 Β· ⭐ 790) - kapre: Keras Audio Preprocessors. MIT -- [GitHub](https://github.com/jameslyons/python_speech_features) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 560 Β· πŸ“‹ 72 - 31% open Β· ⏱️ 31.12.2020): +- [GitHub](https://github.com/keunwoochoi/kapre) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 140 Β· πŸ“₯ 19 Β· πŸ“¦ 1.2K Β· πŸ“‹ 91 - 12% open Β· ⏱️ 14.11.2021): ``` - git clone https://github.com/jameslyons/python_speech_features + git clone https://github.com/keunwoochoi/kapre ``` -- [PyPi](https://pypi.org/project/python_speech_features) (πŸ“₯ 100K / month Β· πŸ“¦ 300 Β· ⏱️ 16.08.2017): +- [PyPi](https://pypi.org/project/kapre) (πŸ“₯ 1.8K / month Β· πŸ“¦ 22 Β· ⏱️ 14.11.2021): ``` - pip install python_speech_features + pip install kapre ```
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kapre (πŸ₯‰23 Β· ⭐ 760) - kapre: Keras Audio Preprocessors. MIT +
tinytag (πŸ₯‰24 Β· ⭐ 490) - Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and.. MIT -- [GitHub](https://github.com/keunwoochoi/kapre) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 130 Β· πŸ“₯ 14 Β· πŸ“¦ 1K Β· πŸ“‹ 90 - 11% open Β· ⏱️ 25.03.2021): +- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 84 Β· πŸ“¦ 430 Β· πŸ“‹ 82 - 17% open Β· ⏱️ 28.08.2021): ``` - git clone https://github.com/keunwoochoi/kapre + git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/kapre) (πŸ“₯ 2.2K / month Β· πŸ“¦ 22 Β· ⏱️ 29.09.2020): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 9.9K / month Β· πŸ“¦ 96 Β· ⏱️ 28.08.2021): ``` - pip install kapre + pip install tinytag ```
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speechbrain (πŸ₯‰22 Β· ⭐ 2.9K) - A PyTorch-based Speech Toolkit. Apache-2 +
speechbrain (πŸ₯‰23 Β· ⭐ 3.3K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 440 Β· πŸ“¦ 38 Β· πŸ“‹ 360 - 12% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 570 Β· πŸ“¦ 88 Β· πŸ“‹ 520 - 21% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 3K / month Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 6.8K / month Β· ⏱️ 11.09.2021): ``` pip install speechbrain ```
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Porcupine (πŸ₯‰22 Β· ⭐ 2.5K) - On-device wake word detection powered by deep learning. Apache-2 +
Madmom (πŸ₯‰23 Β· ⭐ 820) - Python audio and music signal processing library. BSD-3 -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 370 Β· πŸ“¦ 5 Β· πŸ“‹ 330 - 4% open Β· ⏱️ 16.08.2021): +- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 160 Β· πŸ“‹ 240 - 22% open Β· ⏱️ 23.08.2021): ``` - git clone https://github.com/Picovoice/Porcupine + git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 840 / month Β· ⏱️ 14.04.2021): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 10K / month Β· πŸ“¦ 34 Β· ⏱️ 14.11.2018): ``` - pip install pvporcupine + pip install madmom ```
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DDSP (πŸ₯‰22 Β· ⭐ 1.9K) - DDSP: Differentiable Digital Signal Processing. Apache-2 +
DDSP (πŸ₯‰22 Β· ⭐ 2K) - DDSP: Differentiable Digital Signal Processing. Apache-2 -- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 200 Β· πŸ“¦ 15 Β· πŸ“‹ 120 - 15% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 200 Β· πŸ“¦ 16 Β· πŸ“‹ 120 - 16% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.4K / month Β· ⏱️ 30.07.2021): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.4K / month Β· ⏱️ 28.08.2021): ``` pip install ddsp ```
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Madmom (πŸ₯‰22 Β· ⭐ 790) - Python audio and music signal processing library. BSD-3 +
audiomentations (πŸ₯‰22 Β· ⭐ 780) - A Python library for audio data augmentation. Inspired by.. MIT -- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 130 Β· πŸ“¦ 140 Β· πŸ“‹ 240 - 22% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 97 Β· πŸ“¦ 89 Β· πŸ“‹ 89 - 25% open Β· ⏱️ 11.11.2021): ``` - git clone https://github.com/CPJKU/madmom + git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 5.3K / month Β· πŸ“¦ 34 Β· ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 2.2K / month Β· ⏱️ 18.10.2021): ``` - pip install madmom + pip install audiomentations ```
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audiomentations (πŸ₯‰22 Β· ⭐ 680) - A Python library for audio data augmentation. Inspired by.. MIT +
Porcupine (πŸ₯‰21 Β· ⭐ 2.6K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 87 Β· πŸ“¦ 66 Β· πŸ“‹ 84 - 23% open Β· ⏱️ 05.08.2021): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 370 Β· πŸ“¦ 6 Β· πŸ“‹ 340 - 3% open Β· ⏱️ 29.10.2021): ``` - git clone https://github.com/iver56/audiomentations + git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 3.3K / month Β· ⏱️ 05.08.2021): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 970 / month Β· ⏱️ 14.04.2021): ``` - pip install audiomentations + pip install pvporcupine ```
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nnAudio (πŸ₯‰22 Β· ⭐ 530) - Audio processing by using pytorch 1D convolution network. MIT +
nnAudio (πŸ₯‰21 Β· ⭐ 590) - Audio processing by using pytorch 1D convolution network. MIT -- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 55 Β· πŸ“¦ 19 Β· πŸ“‹ 41 - 19% open Β· ⏱️ 06.08.2021): +- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 61 Β· πŸ“¦ 35 Β· πŸ“‹ 44 - 20% open Β· ⏱️ 02.09.2021): ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 12K / month Β· ⏱️ 06.08.2021): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 1.6K / month Β· ⏱️ 02.09.2021): ``` pip install nnAudio ```
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tinytag (πŸ₯‰22 Β· ⭐ 480) - Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and.. MIT +
Coqui TTS (πŸ₯‰20 Β· ⭐ 2.8K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 82 Β· πŸ“¦ 400 Β· πŸ“‹ 83 - 19% open Β· ⏱️ 13.06.2021): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 210 Β· πŸ“₯ 37K Β· πŸ“‹ 170 - 11% open Β· ⏱️ 29.10.2021): ``` - git clone https://github.com/devsnd/tinytag + git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 6.2K / month Β· πŸ“¦ 96 Β· ⏱️ 05.11.2020): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 2.9K / month Β· ⏱️ 14.07.2017): ``` - pip install tinytag + pip install tts ```
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TTS (πŸ₯‰20 Β· ⭐ 5K) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 +
TTS (πŸ₯‰18 Β· ⭐ 5.3K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 -- [GitHub](https://github.com/mozilla/TTS) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 810 Β· πŸ“₯ 1.1K Β· πŸ“‹ 510 - 3% open Β· ⏱️ 12.02.2021): +- [GitHub](https://github.com/mozilla/TTS) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 840 Β· πŸ“₯ 1.4K Β· πŸ“‹ 520 - 2% open Β· ⏱️ 12.02.2021): ``` git clone https://github.com/mozilla/TTS ```
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Coqui TTS (πŸ₯‰20 Β· ⭐ 2.1K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 - -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 170 Β· πŸ“₯ 20K Β· πŸ“‹ 130 - 20% open Β· ⏱️ 11.08.2021): - - ``` - git clone https://github.com/coqui-ai/TTS - ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 2.5K / month Β· ⏱️ 14.07.2017): - ``` - pip install tts - ``` -
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Show 6 hidden projects... +
Show 7 hidden projects... -- SpeechRecognition (πŸ₯‡30 Β· ⭐ 5.8K Β· πŸ’€) - Speech recognition module for Python, supporting.. BSD-3 -- aubio (πŸ₯ˆ26 Β· ⭐ 2.2K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 -- Essentia (πŸ₯‰24 Β· ⭐ 1.9K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 -- Dejavu (πŸ₯‰20 Β· ⭐ 5.5K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT -- Muda (πŸ₯‰18 Β· ⭐ 190) - A library for augmenting annotated audio data. ISC -- Julius (πŸ₯‰17 Β· ⭐ 220) - Fast PyTorch based DSP for audio and 1D signals. MIT +- SpeechRecognition (πŸ₯‡29 Β· ⭐ 5.9K Β· πŸ’€) - Speech recognition module for Python, supporting.. BSD-3 +- audioread (πŸ₯ˆ27 Β· ⭐ 380 Β· πŸ’€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT +- aubio (πŸ₯ˆ26 Β· ⭐ 2.6K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 +- Essentia (πŸ₯‰24 Β· ⭐ 2K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 +- Dejavu (πŸ₯‰20 Β· ⭐ 5.6K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT +- Julius (πŸ₯‰18 Β· ⭐ 230) - Fast PyTorch based DSP for audio and 1D signals. MIT +- Muda (πŸ₯‰17 Β· ⭐ 200) - A library for augmenting annotated audio data. ISC

@@ -3443,243 +3413,258 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as _Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._ -
pydeck (πŸ₯‡34 Β· ⭐ 8.9K) - WebGL2 powered geospatial visualization layers. MIT +
pydeck (πŸ₯‡34 Β· ⭐ 9.2K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.6K Β· πŸ“¦ 1.7K Β· πŸ“‹ 2.2K - 4% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.7K Β· πŸ“¦ 1.9K Β· πŸ“‹ 2.3K - 5% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 440K / month Β· πŸ“¦ 2 Β· ⏱️ 13.04.2021): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 600K / month Β· πŸ“¦ 2 Β· ⏱️ 25.10.2021): ``` pip install pydeck ``` -- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 48K Β· ⏱️ 13.04.2021): +- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 61K Β· ⏱️ 26.10.2021): ``` conda install -c conda-forge pydeck ``` -- [NPM](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 220K / month Β· πŸ“¦ 560 Β· ⏱️ 09.08.2021): +- [NPM](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 230K / month Β· πŸ“¦ 560 Β· ⏱️ 16.11.2021): ``` npm install deck.gl ```
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geopy (πŸ₯‡33 Β· ⭐ 3.4K) - Geocoding library for Python. MIT +
GeoPandas (πŸ₯‡33 Β· ⭐ 2.9K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 550 Β· πŸ“¦ 26K Β· πŸ“‹ 250 - 9% open Β· ⏱️ 16.08.2021): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 640 Β· πŸ“₯ 1.3K Β· πŸ“¦ 11K Β· πŸ“‹ 1.2K - 32% open Β· ⏱️ 11.11.2021): ``` - git clone https://github.com/geopy/geopy + git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 5.2M / month Β· πŸ“¦ 7.2K Β· ⏱️ 11.07.2021): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 1.7M / month Β· πŸ“¦ 1.2K Β· ⏱️ 16.10.2021): ``` - pip install geopy + pip install geopandas ``` -- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 590K Β· ⏱️ 12.07.2021): +- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 1.2M Β· ⏱️ 16.10.2021): ``` - conda install -c conda-forge geopy + conda install -c conda-forge geopandas ```
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Shapely (πŸ₯‡33 Β· ⭐ 2.4K) - Manipulation and analysis of geometric objects. BSD-3 +
geopy (πŸ₯‡32 Β· ⭐ 3.5K) - Geocoding library for Python. MIT -- [GitHub](https://github.com/Toblerity/Shapely) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 420 Β· πŸ“¦ 22K Β· πŸ“‹ 780 - 19% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 560 Β· πŸ“¦ 29K Β· πŸ“‹ 250 - 9% open Β· ⏱️ 26.09.2021): ``` - git clone https://github.com/Toblerity/Shapely + git clone https://github.com/geopy/geopy ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 5.5M / month Β· πŸ“¦ 5.5K Β· ⏱️ 24.08.2021): +- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 2.9M / month Β· πŸ“¦ 7.2K Β· ⏱️ 11.07.2021): ``` - pip install shapely + pip install geopy ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 2.6M Β· ⏱️ 05.08.2021): +- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 620K Β· ⏱️ 12.07.2021): ``` - conda install -c conda-forge shapely + conda install -c conda-forge geopy ```
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folium (πŸ₯ˆ32 Β· ⭐ 5.4K) - Python Data. Leaflet.js Maps. MIT +
pyproj (πŸ₯‡32 Β· ⭐ 680) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2K Β· πŸ“¦ 11K Β· πŸ“‹ 880 - 19% open Β· ⏱️ 19.06.2021): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 170 Β· πŸ“¦ 12K Β· πŸ“‹ 450 - 2% open Β· ⏱️ 14.11.2021): ``` - git clone https://github.com/python-visualization/folium + git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 650K / month Β· πŸ“¦ 970 Β· ⏱️ 18.01.2021): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 3.6M / month Β· πŸ“¦ 2.5K Β· ⏱️ 18.09.2021): ``` - pip install folium + pip install pyproj ``` -- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 390K Β· ⏱️ 12.03.2021): +- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 2.7M Β· ⏱️ 10.11.2021): ``` - conda install -c conda-forge folium + conda install -c conda-forge pyproj ```
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Rasterio (πŸ₯ˆ32 Β· ⭐ 1.6K) - Rasterio reads and writes geospatial raster datasets. BSD-3 +
Shapely (πŸ₯ˆ31 Β· ⭐ 2.5K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/mapbox/rasterio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 430 Β· πŸ“₯ 740 Β· πŸ“¦ 3.6K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/Toblerity/Shapely) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 440 Β· πŸ“¦ 24K Β· πŸ“‹ 800 - 17% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/mapbox/rasterio + git clone https://github.com/Toblerity/Shapely ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 1M / month Β· πŸ“¦ 850 Β· ⏱️ 23.06.2021): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 5.8M / month Β· πŸ“¦ 5.5K Β· ⏱️ 25.10.2021): ``` - pip install rasterio + pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 1.2M Β· ⏱️ 24.06.2021): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 3M Β· ⏱️ 08.11.2021): ``` - conda install -c conda-forge rasterio + conda install -c conda-forge shapely ```
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pyproj (πŸ₯ˆ32 Β· ⭐ 650) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
Rasterio (πŸ₯ˆ31 Β· ⭐ 1.6K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 160 Β· πŸ“¦ 11K Β· πŸ“‹ 440 - 2% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 460 Β· πŸ“₯ 740 Β· πŸ“¦ 4K Β· πŸ“‹ 1.5K - 9% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/pyproj4/pyproj + git clone https://github.com/mapbox/rasterio ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 3.4M / month Β· πŸ“¦ 2.5K Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 710K / month Β· πŸ“¦ 850 Β· ⏱️ 15.10.2021): ``` - pip install pyproj + pip install rasterio ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 2.4M Β· ⏱️ 12.08.2021): +- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 1.3M Β· ⏱️ 12.11.2021): ``` - conda install -c conda-forge pyproj + conda install -c conda-forge rasterio ```
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GeoPandas (πŸ₯ˆ31 Β· ⭐ 2.8K) - Python tools for geographic data. BSD-3 +
Fiona (πŸ₯ˆ30 Β· ⭐ 860) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 600 Β· πŸ“₯ 1.1K Β· πŸ“¦ 9.7K Β· πŸ“‹ 1.1K - 30% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 180 Β· πŸ“¦ 7.1K Β· πŸ“‹ 650 - 12% open Β· ⏱️ 23.09.2021): ``` - git clone https://github.com/geopandas/geopandas + git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 1.4M / month Β· πŸ“¦ 1.2K Β· ⏱️ 28.02.2021): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 2M / month Β· πŸ“¦ 1.2K Β· ⏱️ 31.05.2021): ``` - pip install geopandas + pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 1.1M Β· ⏱️ 09.06.2021): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 2.4M Β· ⏱️ 19.10.2021): ``` - conda install -c conda-forge geopandas + conda install -c conda-forge fiona ```
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Fiona (πŸ₯ˆ31 Β· ⭐ 830) - Fiona reads and writes geographic data files. BSD-3 +
folium (πŸ₯ˆ29 Β· ⭐ 5.5K Β· πŸ“‰) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 180 Β· πŸ“¦ 6.5K Β· πŸ“‹ 650 - 12% open Β· ⏱️ 24.06.2021): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2K Β· πŸ“¦ 13K Β· πŸ“‹ 900 - 20% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/Toblerity/Fiona + git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 1.8M / month Β· πŸ“¦ 1.2K Β· ⏱️ 31.05.2021): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 660K / month Β· πŸ“¦ 970 Β· ⏱️ 18.01.2021): ``` - pip install fiona + pip install folium ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 2.2M Β· ⏱️ 12.08.2021): +- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 450K Β· ⏱️ 12.03.2021): ``` - conda install -c conda-forge fiona + conda install -c conda-forge folium ```
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ipyleaflet (πŸ₯‰29 Β· ⭐ 1.2K) - A Jupyter - Leaflet.js bridge. MIT +
ipyleaflet (πŸ₯ˆ29 Β· ⭐ 1.2K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 300 Β· πŸ“¦ 1.1K Β· πŸ“‹ 440 - 38% open Β· ⏱️ 06.08.2021): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 300 Β· πŸ“¦ 1.3K Β· πŸ“‹ 450 - 38% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 54K / month Β· πŸ“¦ 98 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 56K / month Β· πŸ“¦ 98 Β· ⏱️ 17.06.2021): ``` pip install ipyleaflet ``` -- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 740K Β· ⏱️ 17.06.2021): +- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 770K Β· ⏱️ 17.06.2021): ``` conda install -c conda-forge ipyleaflet ``` -- [NPM](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 24K / month Β· πŸ“¦ 2 Β· ⏱️ 17.06.2021): +- [NPM](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 39K / month Β· πŸ“¦ 2 Β· ⏱️ 17.06.2021): ``` npm install jupyter-leaflet ```
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geojson (πŸ₯‰28 Β· ⭐ 640) - Python bindings and utilities for GeoJSON. BSD-3 +
geojson (πŸ₯‰28 Β· ⭐ 670) - Python bindings and utilities for GeoJSON. BSD-3 -- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 84 Β· πŸ“¦ 7.4K Β· πŸ“‹ 76 - 30% open Β· ⏱️ 08.08.2021): +- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 87 Β· πŸ“¦ 8K Β· πŸ“‹ 77 - 24% open Β· ⏱️ 11.11.2021): ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 710K / month Β· πŸ“¦ 1.8K Β· ⏱️ 09.08.2019): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 660K / month Β· πŸ“¦ 1.8K Β· ⏱️ 09.08.2019): ``` pip install geojson ``` -- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 430K Β· ⏱️ 11.08.2019): +- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 460K Β· ⏱️ 11.08.2019): ``` conda install -c conda-forge geojson ```
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ArcGIS API (πŸ₯‰25 Β· ⭐ 1.1K) - Documentation and samples for ArcGIS API for Python. Apache-2 +
ArcGIS API (πŸ₯‰26 Β· ⭐ 1.2K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 780 Β· πŸ“‹ 380 - 33% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 820 Β· πŸ“₯ 650 Β· πŸ“‹ 400 - 28% open Β· ⏱️ 12.11.2021): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 42K / month Β· πŸ“¦ 20 Β· ⏱️ 08.07.2021): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 54K / month Β· πŸ“¦ 20 Β· ⏱️ 04.10.2021): ``` pip install arcgis ``` -- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (πŸ“₯ 4.8K Β· ⭐ 33 Β· ⏱️ 06.03.2020): +- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (πŸ“₯ 5.2K Β· ⭐ 33 Β· ⏱️ 05.10.2021): ``` docker pull esridocker/arcgis-api-python-notebook ```
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PySAL (πŸ₯‰25 Β· ⭐ 890) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 +
PySAL (πŸ₯‰25 Β· ⭐ 940) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 -- [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 250 Β· πŸ“‹ 640 - 9% open Β· ⏱️ 01.08.2021): +- [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 270 Β· πŸ“‹ 600 - 1% open Β· ⏱️ 18.10.2021): ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 14K / month Β· πŸ“¦ 36 Β· ⏱️ 01.08.2021): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 13K / month Β· πŸ“¦ 36 Β· ⏱️ 01.08.2021): ``` pip install pysal ``` -- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 420K Β· ⏱️ 02.08.2021): +- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 430K Β· ⏱️ 02.08.2021): ``` conda install -c conda-forge pysal ```
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Mapbox GL (πŸ₯‰22 Β· ⭐ 580) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT +
Mapbox GL (πŸ₯‰23 Β· ⭐ 590 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - [GitHub](https://github.com/mapbox/mapboxgl-jupyter) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 100 - 34% open Β· ⏱️ 19.04.2021): ``` git clone https://github.com/mapbox/mapboxgl-jupyter ``` -- [PyPi](https://pypi.org/project/mapboxgl) (πŸ“₯ 17K / month Β· πŸ“¦ 18 Β· ⏱️ 02.06.2019): +- [PyPi](https://pypi.org/project/mapboxgl) (πŸ“₯ 9.3K / month Β· πŸ“¦ 18 Β· ⏱️ 02.06.2019): ``` pip install mapboxgl ```
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GeoViews (πŸ₯‰22 Β· ⭐ 360) - Simple, concise geographical visualization in Python. BSD-3 +
GeoViews (πŸ₯‰23 Β· ⭐ 380) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 65 Β· πŸ“‹ 270 - 33% open Β· ⏱️ 13.04.2021): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 68 Β· πŸ“‹ 290 - 35% open Β· ⏱️ 29.09.2021): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 5.3K / month Β· πŸ“¦ 20 Β· ⏱️ 13.03.2021): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 7.4K / month Β· πŸ“¦ 20 Β· ⏱️ 29.09.2021): ``` pip install geoviews ``` -- [Conda](https://anaconda.org/conda-forge/geoviews) (πŸ“₯ 77K Β· ⏱️ 14.03.2021): +- [Conda](https://anaconda.org/conda-forge/geoviews) (πŸ“₯ 84K Β· ⏱️ 29.09.2021): ``` conda install -c conda-forge geoviews ```
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Show 7 hidden projects... +
EarthPy (πŸ₯‰21 Β· ⭐ 300) - A package built to support working with spatial data using open source.. BSD-3 + +- [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 120 Β· πŸ“¦ 110 Β· πŸ“‹ 220 - 7% open Β· ⏱️ 11.10.2021): + + ``` + git clone https://github.com/earthlab/earthpy + ``` +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.6K / month Β· πŸ“¦ 6 Β· ⏱️ 01.10.2021): + ``` + pip install earthpy + ``` +- [Conda](https://anaconda.org/conda-forge/earthpy) (πŸ“₯ 39K Β· ⏱️ 04.10.2021): + ``` + conda install -c conda-forge earthpy + ``` +
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Show 6 hidden projects... -- Geocoder (πŸ₯ˆ31 Β· ⭐ 1.4K Β· πŸ’€) - Python Geocoder. MIT -- Sentinelsat (πŸ₯‰23 Β· ⭐ 650) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- Geocoder (πŸ₯ˆ30 Β· ⭐ 1.4K Β· πŸ’€) - Python Geocoder. MIT +- Sentinelsat (πŸ₯‰23 Β· ⭐ 690) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- geoplotlib (πŸ₯‰22 Β· ⭐ 940 Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT - gmaps (πŸ₯‰22 Β· ⭐ 720 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 -- Satpy (πŸ₯‰21 Β· ⭐ 740) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 -- geoplotlib (πŸ₯‰20 Β· ⭐ 930 Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT -- EarthPy (πŸ₯‰20 Β· ⭐ 290) - A package built to support working with spatial data using open source.. BSD-3 -- pymap3d (πŸ₯‰19 Β· ⭐ 210) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 +- Satpy (πŸ₯‰21 Β· ⭐ 770) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- pymap3d (πŸ₯‰19 Β· ⭐ 220) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2

@@ -3689,177 +3674,149 @@ _Libraries to load, process, analyze, and write geographic data as well as libra _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._ -
zipline (πŸ₯‡29 Β· ⭐ 14K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - -- [GitHub](https://github.com/quantopian/zipline) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 4.1K Β· πŸ“¦ 760 Β· πŸ“‹ 990 - 34% open Β· ⏱️ 14.10.2020): - - ``` - git clone https://github.com/quantopian/zipline - ``` -- [PyPi](https://pypi.org/project/zipline) (πŸ“₯ 4.8K / month Β· πŸ“¦ 160 Β· ⏱️ 05.10.2020): - ``` - pip install zipline - ``` -
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yfinance (πŸ₯‡29 Β· ⭐ 5.6K) - Yahoo! Finance market data downloader (+faster Pandas Datareader). Apache-2 +
yfinance (πŸ₯‡29 Β· ⭐ 6K) - Yahoo! Finance market data downloader (+faster Pandas Datareader). Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 1.3K Β· πŸ“¦ 6.4K Β· πŸ“‹ 630 - 56% open Β· ⏱️ 10.07.2021): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.4K Β· πŸ“¦ 7.9K Β· πŸ“‹ 690 - 54% open Β· ⏱️ 13.11.2021): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 280K / month Β· πŸ“¦ 26 Β· ⏱️ 10.07.2021): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 360K / month Β· πŸ“¦ 26 Β· ⏱️ 13.11.2021): ``` pip install yfinance ``` -- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 6.3K Β· ⏱️ 10.07.2021): +- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 16K Β· ⏱️ 10.07.2021): ``` conda install -c ranaroussi yfinance ```
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ta (πŸ₯ˆ27 Β· ⭐ 2.4K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT +
ta (πŸ₯‡27 Β· ⭐ 2.6K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT -- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 580 Β· πŸ“¦ 710 Β· πŸ“‹ 190 - 53% open Β· ⏱️ 29.11.2020): +- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 610 Β· πŸ“¦ 850 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 29.11.2020): ``` git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 73K / month Β· πŸ“¦ 12 Β· ⏱️ 29.11.2020): +- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 130K / month Β· πŸ“¦ 12 Β· ⏱️ 29.11.2020): ``` pip install ta ```
Alpha Vantage (πŸ₯ˆ26 Β· ⭐ 3.5K) - A python wrapper for Alpha Vantage API for financial data. MIT -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 610 Β· πŸ“‹ 250 - 6% open Β· ⏱️ 14.06.2021): +- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 620 Β· πŸ“‹ 250 - 7% open Β· ⏱️ 14.06.2021): ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 20K / month Β· πŸ“¦ 200 Β· ⏱️ 26.08.2018): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 27K / month Β· πŸ“¦ 200 Β· ⏱️ 26.08.2018): ``` pip install alpha_vantage ```
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bt (πŸ₯ˆ25 Β· ⭐ 1.1K) - bt - flexible backtesting for Python. MIT - -- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 290 Β· πŸ“¦ 70 Β· πŸ“‹ 260 - 15% open Β· ⏱️ 15.05.2021): - - ``` - git clone https://github.com/pmorissette/bt - ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 9.3K / month Β· πŸ“¦ 40 Β· ⏱️ 21.04.2021): - ``` - pip install bt - ``` -
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empyrical (πŸ₯ˆ25 Β· ⭐ 820 Β· πŸ’€) - Common financial risk and performance metrics. Used by zipline.. Apache-2 +
IB-insync (πŸ₯ˆ25 Β· ⭐ 1.6K) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/quantopian/empyrical) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 270 Β· πŸ“¦ 680 Β· πŸ“‹ 53 - 50% open Β· ⏱️ 14.10.2020): +- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 450 Β· πŸ“‹ 350 - 1% open Β· ⏱️ 02.11.2021): ``` - git clone https://github.com/quantopian/empyrical + git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/empyrical) (πŸ“₯ 51K / month Β· πŸ“¦ 220 Β· ⏱️ 13.10.2020): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 8K / month Β· πŸ“¦ 12 Β· ⏱️ 13.10.2021): ``` - pip install empyrical + pip install ib_insync ``` -- [Conda](https://anaconda.org/conda-forge/empyrical) (πŸ“₯ 13K Β· ⏱️ 14.10.2020): +- [Conda](https://anaconda.org/conda-forge/ib-insync) (πŸ“₯ 13K Β· ⏱️ 13.10.2021): ``` - conda install -c conda-forge empyrical + conda install -c conda-forge ib-insync ```
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IB-insync (πŸ₯ˆ24 Β· ⭐ 1.5K) - Python sync/async framework for Interactive Brokers API. BSD-2 +
bt (πŸ₯ˆ24 Β· ⭐ 1.2K) - bt - flexible backtesting for Python. MIT -- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 440 Β· πŸ“‹ 330 - 2% open Β· ⏱️ 08.07.2021): +- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 290 Β· πŸ“¦ 79 Β· πŸ“‹ 270 - 16% open Β· ⏱️ 15.05.2021): ``` - git clone https://github.com/erdewit/ib_insync - ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 7.3K / month Β· πŸ“¦ 12 Β· ⏱️ 26.04.2021): - ``` - pip install ib_insync + git clone https://github.com/pmorissette/bt ``` -- [Conda](https://anaconda.org/conda-forge/ib-insync) (πŸ“₯ 12K Β· ⏱️ 25.02.2021): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 10K / month Β· πŸ“¦ 40 Β· ⏱️ 21.04.2021): ``` - conda install -c conda-forge ib-insync + pip install bt ```
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ffn (πŸ₯ˆ24 Β· ⭐ 940) - ffn - a financial function library for Python. MIT +
ffn (πŸ₯ˆ24 Β· ⭐ 1K Β· πŸ’€) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 200 Β· πŸ“¦ 140 Β· πŸ“‹ 95 - 18% open Β· ⏱️ 24.04.2021): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 200 Β· πŸ“¦ 160 Β· πŸ“‹ 96 - 16% open Β· ⏱️ 24.04.2021): ``` git clone https://github.com/pmorissette/ffn ``` -- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 39K / month Β· πŸ“¦ 42 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 35K / month Β· πŸ“¦ 42 Β· ⏱️ 21.04.2021): ``` pip install ffn ```
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TensorTrade (πŸ₯‰23 Β· ⭐ 3.4K) - An open source reinforcement learning framework for training,.. Apache-2 +
Enigma Catalyst (πŸ₯‰23 Β· ⭐ 2.3K) - An Algorithmic Trading Library for Crypto-Assets in Python. Apache-2 -- [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 780 Β· πŸ“¦ 21 Β· πŸ“‹ 180 - 12% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/scrtlabs/catalyst) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 670 Β· πŸ“¦ 23 Β· πŸ“‹ 480 - 25% open Β· ⏱️ 22.09.2021): ``` - git clone https://github.com/tensortrade-org/tensortrade + git clone https://github.com/enigmampc/catalyst ``` -- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 980 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/enigma-catalyst) (πŸ“₯ 740 / month Β· πŸ“¦ 2 Β· ⏱️ 11.11.2018): ``` - pip install tensortrade + pip install enigma-catalyst ```
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Enigma Catalyst (πŸ₯‰23 Β· ⭐ 2.3K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 +
stockstats (πŸ₯‰23 Β· ⭐ 890) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 -- [GitHub](https://github.com/enigmampc/catalyst) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 650 Β· πŸ“¦ 23 Β· πŸ“‹ 490 - 27% open Β· ⏱️ 28.12.2020): +- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 240 Β· πŸ“¦ 350 Β· πŸ“‹ 71 - 50% open Β· ⏱️ 03.08.2021): ``` - git clone https://github.com/enigmampc/catalyst + git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/enigma-catalyst) (πŸ“₯ 1.7K / month Β· πŸ“¦ 2 Β· ⏱️ 11.11.2018): +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 15K / month Β· πŸ“¦ 48 Β· ⏱️ 17.10.2020): ``` - pip install enigma-catalyst + pip install stockstats ```
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stockstats (πŸ₯‰23 Β· ⭐ 840) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 +
TensorTrade (πŸ₯‰22 Β· ⭐ 3.6K) - An open source reinforcement learning framework for training,.. Apache-2 -- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 230 Β· πŸ“¦ 300 Β· πŸ“‹ 66 - 50% open Β· ⏱️ 03.08.2021): +- [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 820 Β· πŸ“¦ 25 Β· πŸ“‹ 190 - 13% open Β· ⏱️ 13.11.2021): ``` - git clone https://github.com/jealous/stockstats + git clone https://github.com/tensortrade-org/tensortrade ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 20K / month Β· πŸ“¦ 48 Β· ⏱️ 17.10.2020): +- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 790 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): ``` - pip install stockstats + pip install tensortrade ```
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Qlib (πŸ₯‰21 Β· ⭐ 5.5K) - Qlib is an AI-oriented quantitative investment platform, which aims to.. MIT +
Qlib (πŸ₯‰21 Β· ⭐ 7.1K) - Qlib is an AI-oriented quantitative investment platform, which aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 930 Β· πŸ“₯ 270 Β· πŸ“¦ 5 Β· πŸ“‹ 290 - 29% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 1.1K Β· πŸ“₯ 270 Β· πŸ“¦ 7 Β· πŸ“‹ 340 - 30% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 4.9K / month Β· ⏱️ 11.07.2021): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 3.2K / month Β· ⏱️ 30.09.2021): ``` pip install pyqlib ```
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finmarketpy (πŸ₯‰20 Β· ⭐ 2.7K Β· πŸ“‰) - Python library for backtesting trading strategies &.. Apache-2 +
finmarketpy (πŸ₯‰21 Β· ⭐ 2.8K) - Python library for backtesting trading strategies & analyzing.. Apache-2 -- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 440 Β· πŸ“₯ 40 Β· πŸ“¦ 3 Β· πŸ“‹ 26 - 88% open Β· ⏱️ 23.07.2021): +- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 450 Β· πŸ“₯ 40 Β· πŸ“¦ 4 Β· πŸ“‹ 26 - 88% open Β· ⏱️ 07.10.2021): ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 120 / month Β· ⏱️ 01.06.2021): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 180 / month Β· ⏱️ 07.10.2021): ``` pip install finmarketpy ```
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Crypto Signals (πŸ₯‰19 Β· ⭐ 3.3K) - Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis.. MIT +
Crypto Signals (πŸ₯‰19 Β· ⭐ 3.6K) - Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis.. MIT -- [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 900 Β· πŸ“‹ 240 - 19% open Β· ⏱️ 28.06.2021): +- [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 990 Β· πŸ“‹ 250 - 21% open Β· ⏱️ 28.06.2021): ``` git clone https://github.com/CryptoSignal/crypto-signal @@ -3869,28 +3826,30 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te docker pull shadowreaver/crypto-signal ```
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tf-quant-finance (πŸ₯‰19 Β· ⭐ 2.8K) - High-performance TensorFlow library for quantitative.. Apache-2 +
tf-quant-finance (πŸ₯‰19 Β· ⭐ 2.9K) - High-performance TensorFlow library for quantitative.. Apache-2 -- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 370 Β· πŸ“‹ 35 - 48% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 390 Β· πŸ“‹ 35 - 48% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 350 / month Β· ⏱️ 22.07.2021): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 480 / month Β· ⏱️ 15.11.2021): ``` pip install tf-quant-finance ```
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Show 8 hidden projects... +
Show 10 hidden projects... -- pyfolio (πŸ₯‡28 Β· ⭐ 4K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 -- backtrader (πŸ₯ˆ26 Β· ⭐ 7.1K) - Python Backtesting library for trading strategies. ❗️GPL-3.0 -- Alphalens (πŸ₯ˆ24 Β· ⭐ 2K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 -- FinTA (πŸ₯ˆ24 Β· ⭐ 1.2K) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 -- arch (πŸ₯ˆ24 Β· ⭐ 780) - ARCH models in Python. ❗️NCSA -- PyAlgoTrade (πŸ₯‰22 Β· ⭐ 3.5K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 -- Backtesting.py (πŸ₯‰19 Β· ⭐ 1.6K) - Backtest trading strategies in Python. ❗️AGPL-3.0 -- surpriver (πŸ₯‰13 Β· ⭐ 1.3K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 +- zipline (πŸ₯‡30 Β· ⭐ 15K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 +- backtrader (πŸ₯‡27 Β· ⭐ 7.7K) - Python Backtesting library for trading strategies. ❗️GPL-3.0 +- pyfolio (πŸ₯‡27 Β· ⭐ 4.1K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 +- empyrical (πŸ₯ˆ26 Β· ⭐ 860 Β· πŸ’€) - Common financial risk and performance metrics. Used by zipline.. Apache-2 +- Alphalens (πŸ₯ˆ24 Β· ⭐ 2.1K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 +- arch (πŸ₯ˆ24 Β· ⭐ 830) - ARCH models in Python. ❗️NCSA +- PyAlgoTrade (πŸ₯‰23 Β· ⭐ 3.5K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 +- FinTA (πŸ₯‰22 Β· ⭐ 1.3K) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 +- Backtesting.py (πŸ₯‰19 Β· ⭐ 1.9K) - Backtest trading strategies in Python. ❗️AGPL-3.0 +- surpriver (πŸ₯‰12 Β· ⭐ 1.4K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0

@@ -3900,208 +3859,231 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te _Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._ -
Prophet (πŸ₯‡29 Β· ⭐ 13K) - Tool for producing high quality forecasts for time series data that has.. MIT +
pmdarima (πŸ₯‡28 Β· ⭐ 1K) - A statistical library designed to fill the void in Python's time series.. MIT -- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.8K Β· πŸ“₯ 630 Β· πŸ“‹ 1.7K - 7% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 180 Β· πŸ“¦ 1.5K Β· πŸ“‹ 260 - 8% open Β· ⏱️ 05.11.2021): ``` - git clone https://github.com/facebook/prophet + git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 1.1M / month Β· πŸ“¦ 150 Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 1.1M / month Β· πŸ“¦ 12 Β· ⏱️ 05.11.2021): ``` - pip install fbprophet + pip install pmdarima ```
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pmdarima (πŸ₯‡28 Β· ⭐ 960) - A statistical library designed to fill the void in Python's time series.. MIT +
Prophet (πŸ₯‡26 Β· ⭐ 14K) - Tool for producing high quality forecasts for time series data that has.. MIT -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 180 Β· πŸ“¦ 1.3K Β· πŸ“‹ 250 - 9% open Β· ⏱️ 24.07.2021): +- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.9K Β· πŸ“₯ 640 Β· πŸ“‹ 1.7K - 9% open Β· ⏱️ 03.10.2021): ``` - git clone https://github.com/alkaline-ml/pmdarima + git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 890K / month Β· πŸ“¦ 12 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 1.1M / month Β· πŸ“¦ 150 Β· ⏱️ 05.09.2020): ``` - pip install pmdarima + pip install fbprophet ```
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tsfresh (πŸ₯‡27 Β· ⭐ 5.9K) - Automatic extraction of relevant features from time series:. MIT +
tsfresh (πŸ₯‡26 Β· ⭐ 6K) - Automatic extraction of relevant features from time series:. MIT -- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 900 Β· πŸ“‹ 470 - 8% open Β· ⏱️ 09.07.2021): +- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 920 Β· πŸ“‹ 470 - 8% open Β· ⏱️ 31.10.2021): ``` git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 340K / month Β· πŸ“¦ 66 Β· ⏱️ 09.09.2020): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 250K / month Β· πŸ“¦ 66 Β· ⏱️ 09.09.2020): ``` pip install tsfresh ``` -- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 41K Β· ⏱️ 07.03.2021): +- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 63K Β· ⏱️ 07.03.2021): ``` conda install -c conda-forge tsfresh ```
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sktime (πŸ₯ˆ26 Β· ⭐ 4.4K) - A unified framework for machine learning with time series. BSD-3 +
sktime (πŸ₯‡26 Β· ⭐ 4.7K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/alan-turing-institute/sktime) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 610 Β· πŸ“₯ 64 Β· πŸ“¦ 220 Β· πŸ“‹ 640 - 37% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/alan-turing-institute/sktime) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 670 Β· πŸ“₯ 64 Β· πŸ“¦ 290 Β· πŸ“‹ 740 - 33% open Β· ⏱️ 14.11.2021): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 120K / month Β· ⏱️ 12.07.2021): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 120K / month Β· ⏱️ 28.10.2021): ``` pip install sktime ```
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tslearn (πŸ₯ˆ26 Β· ⭐ 1.8K) - A machine learning toolkit dedicated to time-series data. BSD-2 +
tslearn (πŸ₯‡26 Β· ⭐ 1.9K) - A machine learning toolkit dedicated to time-series data. BSD-2 -- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 240 Β· πŸ“¦ 280 Β· πŸ“‹ 240 - 28% open Β· ⏱️ 17.08.2021): +- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 240 Β· πŸ“¦ 340 Β· πŸ“‹ 240 - 28% open Β· ⏱️ 06.09.2021): ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 170K / month Β· πŸ“¦ 22 Β· ⏱️ 16.08.2021): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 210K / month Β· πŸ“¦ 22 Β· ⏱️ 16.08.2021): ``` pip install tslearn ``` -- [Conda](https://anaconda.org/conda-forge/tslearn) (πŸ“₯ 230K Β· ⏱️ 16.08.2021): +- [Conda](https://anaconda.org/conda-forge/tslearn) (πŸ“₯ 240K Β· ⏱️ 16.08.2021): ``` conda install -c conda-forge tslearn ```
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Darts (πŸ₯ˆ24 Β· ⭐ 2.3K) - A python library for easy manipulation and forecasting of time series. Apache-2 +
Streamz (πŸ₯ˆ25 Β· ⭐ 1K) - Real-time stream processing for python. BSD-3 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 170 Β· πŸ“¦ 10 Β· πŸ“‹ 120 - 20% open Β· ⏱️ 19.08.2021): +- [GitHub](https://github.com/python-streamz/streamz) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 130 Β· πŸ“¦ 240 Β· πŸ“‹ 250 - 41% open Β· ⏱️ 02.11.2021): ``` - git clone https://github.com/unit8co/darts + git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 4.5K / month Β· ⏱️ 19.08.2021): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 11K / month Β· πŸ“¦ 16 Β· ⏱️ 04.10.2021): ``` - pip install u8darts + pip install streamz ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 150 Β· ⏱️ 19.08.2021): +- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 220K Β· ⏱️ 04.10.2021): ``` - docker pull unit8/darts + conda install -c conda-forge streamz ```
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Streamz (πŸ₯ˆ24 Β· ⭐ 970) - Real-time stream processing for python. BSD-3 +
Darts (πŸ₯ˆ24 Β· ⭐ 3.1K) - A python library for easy manipulation and forecasting of time series. Apache-2 -- [GitHub](https://github.com/python-streamz/streamz) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 120 Β· πŸ“¦ 230 Β· πŸ“‹ 230 - 41% open Β· ⏱️ 23.06.2021): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 260 Β· πŸ“¦ 17 Β· πŸ“‹ 170 - 10% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/python-streamz/streamz + git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 9.5K / month Β· πŸ“¦ 16 Β· ⏱️ 14.01.2021): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 3.2K / month Β· ⏱️ 08.11.2021): ``` - pip install streamz + pip install u8darts ``` -- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 190K Β· ⏱️ 15.01.2021): +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 200 Β· ⏱️ 08.11.2021): ``` - conda install -c conda-forge streamz + docker pull unit8/darts ```
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GluonTS (πŸ₯ˆ23 Β· ⭐ 2.1K) - Probabilistic time series modeling in Python. Apache-2 +
GluonTS (πŸ₯ˆ24 Β· ⭐ 2.2K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/awslabs/gluon-ts) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 440 Β· πŸ“‹ 630 - 35% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/awslabs/gluon-ts) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 480 Β· πŸ“‹ 690 - 39% open Β· ⏱️ 27.10.2021): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 55K / month Β· ⏱️ 12.08.2021): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 61K / month Β· ⏱️ 11.11.2021): ``` pip install gluonts ```
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STUMPY (πŸ₯‰22 Β· ⭐ 1.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 +
pytorch-forecasting (πŸ₯ˆ23 Β· ⭐ 1.5K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 180 Β· πŸ“‹ 260 - 11% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“‹ 350 - 37% open Β· ⏱️ 16.11.2021): + + ``` + git clone https://github.com/jdb78/pytorch-forecasting + ``` +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 23K / month Β· ⏱️ 26.09.2021): + ``` + pip install pytorch-forecasting + ``` +
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STUMPY (πŸ₯‰22 Β· ⭐ 2K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 + +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 190 Β· πŸ“‹ 270 - 10% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 150K / month Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 300K / month Β· ⏱️ 28.07.2021): ``` pip install stumpy ``` -- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 28K Β· ⏱️ 28.07.2021): +- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 33K Β· ⏱️ 28.07.2021): ``` conda install -c conda-forge stumpy ```
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pytorch-forecasting (πŸ₯‰22 Β· ⭐ 1.3K) - Time series forecasting with PyTorch. MIT +
pyts (πŸ₯‰22 Β· ⭐ 1.1K) - A Python package for time series classification. BSD-3 -- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 160 Β· πŸ“‹ 300 - 31% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 110 Β· πŸ“¦ 150 Β· πŸ“‹ 56 - 58% open Β· ⏱️ 31.10.2021): ``` - git clone https://github.com/jdb78/pytorch-forecasting + git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 16K / month Β· ⏱️ 04.06.2021): +- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 9.9K / month Β· πŸ“¦ 4 Β· ⏱️ 31.10.2021): ``` - pip install pytorch-forecasting + pip install pyts + ``` +- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 9.4K Β· ⏱️ 31.10.2021): + ``` + conda install -c conda-forge pyts ```
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pyts (πŸ₯‰20 Β· ⭐ 1K) - A Python package for time series classification. BSD-3 +
greykite (πŸ₯‰20 Β· ⭐ 1.3K) - A flexible, intuitive and fast forecasting library. BSD-2 -- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 110 Β· πŸ“¦ 140 Β· πŸ“‹ 51 - 60% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 59 Β· πŸ“¦ 7 Β· πŸ“‹ 57 - 19% open Β· ⏱️ 18.10.2021): ``` - git clone https://github.com/johannfaouzi/pyts + git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 10K / month Β· πŸ“¦ 4 Β· ⏱️ 21.03.2020): +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 21K / month Β· ⏱️ 01.07.2021): ``` - pip install pyts + pip install greykite ``` -- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 8.6K Β· ⏱️ 21.03.2020): +
+
TSFEL (πŸ₯‰20 Β· ⭐ 310 Β· βž•) - An intuitive library to extract features from time series. BSD-3 + +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 41 Β· πŸ“¦ 25 Β· πŸ“‹ 46 - 21% open Β· ⏱️ 10.09.2021): + ``` - conda install -c conda-forge pyts + git clone https://github.com/fraunhoferportugal/tsfel + ``` +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 3.8K / month Β· ⏱️ 14.02.2021): + ``` + pip install tsfel ```
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seglearn (πŸ₯‰20 Β· ⭐ 470) - Python module for machine learning time series:. BSD-3 +
seglearn (πŸ₯‰19 Β· ⭐ 480 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 -- [GitHub](https://github.com/dmbee/seglearn) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 49 Β· πŸ“¦ 10 Β· πŸ“‹ 28 - 17% open Β· ⏱️ 12.03.2021): +- [GitHub](https://github.com/dmbee/seglearn) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 52 Β· πŸ“¦ 11 Β· πŸ“‹ 28 - 17% open Β· ⏱️ 12.03.2021): ``` git clone https://github.com/dmbee/seglearn ``` -- [PyPi](https://pypi.org/project/seglearn) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 13.03.2021): +- [PyPi](https://pypi.org/project/seglearn) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 13.03.2021): ``` pip install seglearn ```
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greykite (πŸ₯‰18 Β· ⭐ 1.3K Β· 🐣) - A flexible, intuitive and fast forecasting library. BSD-2 +
Auto TS (πŸ₯‰18 Β· ⭐ 330) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 -- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 53 Β· πŸ“¦ 6 Β· πŸ“‹ 41 - 26% open Β· ⏱️ 14.08.2021): +- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 61 Β· πŸ“‹ 55 - 21% open Β· ⏱️ 27.08.2021): ``` - git clone https://github.com/linkedin/greykite + git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 8.1K / month Β· ⏱️ 01.07.2021): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 2.1K / month Β· ⏱️ 27.08.2021): ``` - pip install greykite + pip install auto-ts ```
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atspy (πŸ₯‰17 Β· ⭐ 370 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT +
atspy (πŸ₯‰15 Β· ⭐ 390) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT -- [GitHub](https://github.com/firmai/atspy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 74 Β· πŸ“¦ 3 Β· πŸ“‹ 20 - 90% open Β· ⏱️ 12.11.2020): +- [GitHub](https://github.com/firmai/atspy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 77 Β· πŸ“¦ 3 Β· πŸ“‹ 20 - 90% open Β· ⏱️ 30.08.2021): ``` git clone https://github.com/firmai/atspy ``` -- [PyPi](https://pypi.org/project/atspy) (πŸ“₯ 1.2K / month Β· ⏱️ 24.04.2020): +- [PyPi](https://pypi.org/project/atspy) (πŸ“₯ 810 / month Β· ⏱️ 24.04.2020): ``` pip install atspy ```
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Show 8 hidden projects... +
Show 7 hidden projects... -- PyFlux (πŸ₯ˆ24 Β· ⭐ 1.9K Β· πŸ’€) - Open source time series library for Python. BSD-3 -- luminol (πŸ₯‰21 Β· ⭐ 960 Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 +- PyFlux (πŸ₯ˆ23 Β· ⭐ 1.9K Β· πŸ’€) - Open source time series library for Python. BSD-3 +- luminol (πŸ₯‰21 Β· ⭐ 980 Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 - pydlm (πŸ₯‰20 Β· ⭐ 400 Β· πŸ’€) - A python library for Bayesian time series modeling. BSD-3 -- matrixprofile-ts (πŸ₯‰19 Β· ⭐ 650 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 -- Auto TS (πŸ₯‰19 Β· ⭐ 280) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 -- ADTK (πŸ₯‰18 Β· ⭐ 720 Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 +- matrixprofile-ts (πŸ₯‰19 Β· ⭐ 660 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 +- ADTK (πŸ₯‰18 Β· ⭐ 750 Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 - tick (πŸ₯‰18 Β· ⭐ 360 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 -- tsaug (πŸ₯‰14 Β· ⭐ 200 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 +- tsaug (πŸ₯‰14 Β· ⭐ 210 Β· πŸ’€) - A Python package for time series augmentation. Apache-2

@@ -4111,190 +4093,183 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._ -
Lifelines (πŸ₯‡29 Β· ⭐ 1.7K) - Survival analysis in Python. MIT +
NIPYPE (πŸ₯‡30 Β· ⭐ 600) - Workflows and interfaces for neuroimaging packages. Apache-2 -- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 430 Β· πŸ“¦ 640 Β· πŸ“‹ 810 - 25% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 480 Β· πŸ“¦ 770 Β· πŸ“‹ 1.2K - 28% open Β· ⏱️ 06.11.2021): ``` - git clone https://github.com/CamDavidsonPilon/lifelines + git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 260K / month Β· πŸ“¦ 130 Β· ⏱️ 27.05.2021): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 39K / month Β· πŸ“¦ 190 Β· ⏱️ 20.10.2021): ``` - pip install lifelines + pip install nipype ``` -- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 160K Β· ⏱️ 27.05.2021): +- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 450K Β· ⏱️ 20.10.2021): ``` - conda install -c conda-forge lifelines + conda install -c conda-forge nipype ```
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NIPYPE (πŸ₯‡29 Β· ⭐ 580) - Workflows and interfaces for neuroimaging packages. Apache-2 +
Lifelines (πŸ₯‡29 Β· ⭐ 1.7K) - Survival analysis in Python. MIT -- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 470 Β· πŸ“¦ 700 Β· πŸ“‹ 1.2K - 28% open Β· ⏱️ 23.07.2021): +- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 450 Β· πŸ“¦ 710 Β· πŸ“‹ 830 - 26% open Β· ⏱️ 16.09.2021): ``` - git clone https://github.com/nipy/nipype + git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 51K / month Β· πŸ“¦ 190 Β· ⏱️ 16.06.2021): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 290K / month Β· πŸ“¦ 130 Β· ⏱️ 16.09.2021): ``` - pip install nipype + pip install lifelines ``` -- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 440K Β· ⏱️ 13.07.2021): +- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 170K Β· ⏱️ 16.09.2021): ``` - conda install -c conda-forge nipype + conda install -c conda-forge lifelines ```
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NiBabel (πŸ₯‡29 Β· ⭐ 430) - Python package to access a cacophony of neuro-imaging file formats. MIT +
NiBabel (πŸ₯‡29 Β· ⭐ 450) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 210 Β· πŸ“¦ 5.1K Β· πŸ“‹ 420 - 26% open Β· ⏱️ 09.08.2021): +- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 220 Β· πŸ“¦ 5.7K Β· πŸ“‹ 440 - 29% open Β· ⏱️ 30.09.2021): ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 210K / month Β· πŸ“¦ 1.3K Β· ⏱️ 28.11.2020): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 150K / month Β· πŸ“¦ 1.3K Β· ⏱️ 28.11.2020): ``` pip install nibabel ``` -- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 370K Β· ⏱️ 29.11.2020): +- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 400K Β· ⏱️ 29.11.2020): ``` conda install -c conda-forge nibabel ```
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DIPY (πŸ₯ˆ28 Β· ⭐ 460) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 +
MNE (πŸ₯ˆ27 Β· ⭐ 1.7K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“¦ 420 Β· πŸ“‹ 780 - 20% open Β· ⏱️ 22.07.2021): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 980 Β· πŸ“¦ 1.2K Β· πŸ“‹ 3.8K - 8% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/dipy/dipy + git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 11K / month Β· πŸ“¦ 94 Β· ⏱️ 06.05.2021): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 36K / month Β· πŸ“¦ 200 Β· ⏱️ 03.11.2021): ``` - pip install dipy + pip install mne ``` -- [Conda](https://anaconda.org/conda-forge/dipy) (πŸ“₯ 250K Β· ⏱️ 06.05.2021): +- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 170K Β· ⏱️ 03.11.2021): ``` - conda install -c conda-forge dipy + conda install -c conda-forge mne ```
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MNE (πŸ₯ˆ27 Β· ⭐ 1.7K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 +
DIPY (πŸ₯ˆ27 Β· ⭐ 480) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 950 Β· πŸ“¦ 1.1K Β· πŸ“‹ 3.8K - 9% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 330 Β· πŸ“¦ 460 Β· πŸ“‹ 760 - 16% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/mne-tools/mne-python + git clone https://github.com/dipy/dipy ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 41K / month Β· πŸ“¦ 200 Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 8.8K / month Β· πŸ“¦ 94 Β· ⏱️ 06.05.2021): ``` - pip install mne + pip install dipy ``` -- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 160K Β· ⏱️ 24.08.2021): +- [Conda](https://anaconda.org/conda-forge/dipy) (πŸ“₯ 270K Β· ⏱️ 06.05.2021): ``` - conda install -c conda-forge mne + conda install -c conda-forge dipy ```
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Nilearn (πŸ₯ˆ27 Β· ⭐ 760) - Machine learning for NeuroImaging in Python. BSD-3 +
Nilearn (πŸ₯ˆ26 Β· ⭐ 790) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 440 Β· πŸ“₯ 8 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.5K - 17% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 440 Β· πŸ“₯ 14 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.5K - 17% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 61K / month Β· πŸ“¦ 300 Β· ⏱️ 16.06.2021): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 20K / month Β· πŸ“¦ 300 Β· ⏱️ 16.09.2021): ``` pip install nilearn ``` -- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 110K Β· ⏱️ 16.06.2021): +- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 130K Β· ⏱️ 16.09.2021): ``` conda install -c conda-forge nilearn ```
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Hail (πŸ₯ˆ26 Β· ⭐ 740) - Scalable genomic data analysis. MIT +
Hail (πŸ₯ˆ26 Β· ⭐ 760) - Scalable genomic data analysis. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 200 Β· πŸ“¦ 44 Β· πŸ“‹ 2K - 2% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 200 Β· πŸ“¦ 44 Β· πŸ“‹ 2K - 2% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 17K / month Β· ⏱️ 27.07.2021): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 21K / month Β· ⏱️ 20.10.2021): ``` pip install hail ```
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MONAI (πŸ₯ˆ24 Β· ⭐ 2.2K) - AI Toolkit for Healthcare Imaging. Apache-2 +
MONAI (πŸ₯ˆ24 Β· ⭐ 2.5K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 420 Β· πŸ“¦ 100 Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 460 Β· πŸ“¦ 140 Β· πŸ“‹ 1.3K - 9% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 14K / month Β· ⏱️ 08.07.2021): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 16K / month Β· ⏱️ 24.09.2021): ``` pip install monai ```
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NIPY (πŸ₯‰23 Β· ⭐ 300) - Neuroimaging in Python FMRI analysis package. BSD-3 +
NIPY (πŸ₯‰22 Β· ⭐ 310 Β· πŸ’€) - Neuroimaging in Python FMRI analysis package. BSD-3 -- [GitHub](https://github.com/nipy/nipy) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 120 Β· πŸ“‹ 150 - 28% open Β· ⏱️ 29.03.2021): +- [GitHub](https://github.com/nipy/nipy) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 130 Β· πŸ“‹ 160 - 28% open Β· ⏱️ 29.03.2021): ``` git clone https://github.com/nipy/nipy ``` -- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 1.7K / month Β· πŸ“¦ 82 Β· ⏱️ 19.02.2018): +- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 2.1K / month Β· πŸ“¦ 82 Β· ⏱️ 19.02.2018): ``` pip install nipy ``` -- [Conda](https://anaconda.org/conda-forge/nipy) (πŸ“₯ 86K Β· ⏱️ 04.05.2020): +- [Conda](https://anaconda.org/conda-forge/nipy) (πŸ“₯ 89K Β· ⏱️ 04.05.2020): ``` conda install -c conda-forge nipy ```
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DeepVariant (πŸ₯‰21 Β· ⭐ 2.3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 +
DeepVariant (πŸ₯‰21 Β· ⭐ 2.4K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 -- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 560 Β· πŸ“₯ 3.5K Β· πŸ“‹ 430 - 0% open Β· ⏱️ 09.08.2021): +- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 570 Β· πŸ“₯ 3.6K Β· πŸ“‹ 440 - 0% open Β· ⏱️ 27.10.2021): ``` git clone https://github.com/google/deepvariant ``` -- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 33K Β· ⏱️ 30.07.2021): +- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 35K Β· ⏱️ 30.07.2021): ``` conda install -c bioconda deepvariant ```
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MedicalTorch (πŸ₯‰16 Β· ⭐ 740) - A medical imaging framework for Pytorch. Apache-2 +
MedicalTorch (πŸ₯‰16 Β· ⭐ 750 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 - [GitHub](https://github.com/perone/medicaltorch) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 110 Β· πŸ“¦ 11 Β· πŸ“‹ 23 - 60% open Β· ⏱️ 16.04.2021): ``` git clone https://github.com/perone/medicaltorch ``` -- [PyPi](https://pypi.org/project/medicaltorch) (πŸ“₯ 230 / month Β· ⏱️ 24.11.2018): +- [PyPi](https://pypi.org/project/medicaltorch) (πŸ“₯ 210 / month Β· ⏱️ 24.11.2018): ``` pip install medicaltorch ```
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Medical Detection Toolkit (πŸ₯‰13 Β· ⭐ 1K) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 +
Medical Detection Toolkit (πŸ₯‰13 Β· ⭐ 1.1K) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 -- [GitHub](https://github.com/MIC-DKFZ/medicaldetectiontoolkit) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 260 Β· πŸ“‹ 120 - 30% open Β· ⏱️ 31.05.2021): +- [GitHub](https://github.com/MIC-DKFZ/medicaldetectiontoolkit) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 280 Β· πŸ“‹ 120 - 32% open Β· ⏱️ 09.09.2021): ``` git clone https://github.com/MIC-DKFZ/medicaldetectiontoolkit ```
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MedicalNet (πŸ₯‰12 Β· ⭐ 1.2K Β· πŸ’€) - Many studies have shown that the performance on deep learning is.. MIT - -- [GitHub](https://github.com/Tencent/MedicalNet) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 320 Β· πŸ“‹ 61 - 77% open Β· ⏱️ 27.08.2020): - - ``` - git clone https://github.com/Tencent/MedicalNet - ``` -
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Show 6 hidden projects... +
Show 7 hidden projects... - NiftyNet (πŸ₯‰22 Β· ⭐ 1.3K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 -- DLTK (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 -- MedPy (πŸ₯‰21 Β· ⭐ 360 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 -- Glow (πŸ₯‰21 Β· ⭐ 170) - An open-source toolkit for large-scale genomic analysis. Apache-2 -- Brainiak (πŸ₯‰19 Β· ⭐ 250) - Brain Imaging Analysis Kit. Apache-2 +- MedPy (πŸ₯‰21 Β· ⭐ 370 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 +- DLTK (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 +- Glow (πŸ₯‰20 Β· ⭐ 180) - An open-source toolkit for large-scale genomic analysis. Apache-2 +- Brainiak (πŸ₯‰19 Β· ⭐ 260) - Brain Imaging Analysis Kit. Apache-2 - DeepNeuro (πŸ₯‰14 Β· ⭐ 110 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT +- MedicalNet (πŸ₯‰13 Β· ⭐ 1.3K Β· πŸ’€) - Many studies have shown that the performance on deep learning is.. MIT

@@ -4304,38 +4279,38 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic _Libraries for processing tabular and structured data._ -
pytorch_tabular (πŸ₯‡17 Β· ⭐ 400) - A standard framework for modelling Deep Learning Models.. MIT +
carefree-learn (πŸ₯‡17 Β· ⭐ 350) - Deep Learning PyTorch. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 37 Β· πŸ“‹ 35 - 45% open Β· ⏱️ 06.08.2021): +- [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 30 Β· πŸ“¦ 2 Β· ⏱️ 01.11.2021): ``` - git clone https://github.com/manujosephv/pytorch_tabular + git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 1.1K / month Β· ⏱️ 20.06.2021): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 150 / month Β· ⏱️ 29.10.2021): ``` - pip install pytorch_tabular + pip install carefree-learn ```
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carefree-learn (πŸ₯‰16 Β· ⭐ 340) - Deep Learning PyTorch. MIT +
pytorch_tabular (πŸ₯‰16 Β· ⭐ 470) - A standard framework for modelling Deep Learning Models.. MIT -- [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 28 Β· πŸ“¦ 2 Β· πŸ“‹ 81 - 4% open Β· ⏱️ 13.08.2021): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 42 Β· πŸ“‹ 45 - 35% open Β· ⏱️ 07.10.2021): ``` - git clone https://github.com/carefree0910/carefree-learn + git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 75 / month Β· ⏱️ 18.03.2021): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 580 / month Β· ⏱️ 01.09.2021): ``` - pip install carefree-learn + pip install pytorch_tabular ```
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deltapy (πŸ₯‰13 Β· ⭐ 370 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT +
deltapy (πŸ₯‰14 Β· ⭐ 380) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT -- [GitHub](https://github.com/firmai/deltapy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 36 Β· πŸ“¦ 2 Β· ⏱️ 21.01.2021): +- [GitHub](https://github.com/firmai/deltapy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 39 Β· πŸ“¦ 2 Β· πŸ“‹ 2 - 50% open Β· ⏱️ 20.10.2021): ``` git clone https://github.com/firmai/deltapy ``` -- [PyPi](https://pypi.org/project/deltapy) (πŸ“₯ 77 / month Β· ⏱️ 09.04.2020): +- [PyPi](https://pypi.org/project/deltapy) (πŸ“₯ 71 / month Β· ⏱️ 09.04.2020): ``` pip install deltapy ``` @@ -4348,126 +4323,133 @@ _Libraries for processing tabular and structured data._ _Libraries for optical character recognition (OCR) and text extraction from images or videos._ -
Tesseract (πŸ₯‡30 Β· ⭐ 3.8K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 +
EasyOCR (πŸ₯‡30 Β· ⭐ 13K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 540 Β· πŸ“‹ 270 - 3% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 1.7K Β· πŸ“₯ 760K Β· πŸ“¦ 660 Β· πŸ“‹ 440 - 27% open Β· ⏱️ 15.10.2021): ``` - git clone https://github.com/madmaze/pytesseract - ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.4M / month Β· πŸ“¦ 1.4K Β· ⏱️ 28.06.2021): - ``` - pip install pytesseract + git clone https://github.com/JaidedAI/EasyOCR ``` -- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 470K Β· ⏱️ 05.06.2021): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 130K / month Β· ⏱️ 11.09.2021): ``` - conda install -c conda-forge pytesseract + pip install easyocr ```
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EasyOCR (πŸ₯‡29 Β· ⭐ 12K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 +
Tesseract (πŸ₯‡30 Β· ⭐ 3.9K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 1.5K Β· πŸ“₯ 460K Β· πŸ“¦ 480 Β· πŸ“‹ 390 - 32% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 550 Β· πŸ“‹ 280 - 3% open Β· ⏱️ 03.11.2021): ``` - git clone https://github.com/JaidedAI/EasyOCR + git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 45K / month Β· ⏱️ 20.07.2021): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.1M / month Β· πŸ“¦ 1.4K Β· ⏱️ 28.06.2021): ``` - pip install easyocr + pip install pytesseract + ``` +- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 480K Β· ⏱️ 05.06.2021): + ``` + conda install -c conda-forge pytesseract ```
tesserocr (πŸ₯ˆ28 Β· ⭐ 1.5K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 200 Β· πŸ“¦ 540 Β· πŸ“‹ 220 - 30% open Β· ⏱️ 19.06.2021): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 200 Β· πŸ“¦ 570 Β· πŸ“‹ 230 - 31% open Β· ⏱️ 09.11.2021): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 69K / month Β· πŸ“¦ 100 Β· ⏱️ 19.06.2021): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 68K / month Β· πŸ“¦ 100 Β· ⏱️ 19.06.2021): ``` pip install tesserocr ``` -- [Conda](https://anaconda.org/conda-forge/tesserocr) (πŸ“₯ 56K Β· ⏱️ 13.01.2021): +- [Conda](https://anaconda.org/conda-forge/tesserocr) (πŸ“₯ 61K Β· ⏱️ 13.01.2021): ``` conda install -c conda-forge tesserocr ```
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PaddleOCR (πŸ₯ˆ27 Β· ⭐ 15K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 +
PaddleOCR (πŸ₯ˆ26 Β· ⭐ 17K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 3K Β· πŸ“¦ 300 Β· πŸ“‹ 2.7K - 30% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 3.5K Β· πŸ“¦ 400 Β· πŸ“‹ 3.4K - 27% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 34K / month Β· ⏱️ 10.08.2021): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 39K / month Β· ⏱️ 17.11.2021): ``` pip install paddleocr ```
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OCRmyPDF (πŸ₯ˆ26 Β· ⭐ 4.7K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 +
OCRmyPDF (πŸ₯ˆ26 Β· ⭐ 5.2K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/jbarlow83/OCRmyPDF) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 460 Β· πŸ“‹ 730 - 12% open Β· ⏱️ 22.08.2021): +- [GitHub](https://github.com/jbarlow83/OCRmyPDF) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 500 Β· πŸ“‹ 770 - 12% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/jbarlow83/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 19K / month Β· πŸ“¦ 12 Β· ⏱️ 04.08.2021): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 21K / month Β· πŸ“¦ 12 Β· ⏱️ 13.11.2021): ``` pip install ocrmypdf ```
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keras-ocr (πŸ₯‰21 Β· ⭐ 900) - A packaged and flexible version of the CRAFT text detector and.. MIT +
keras-ocr (πŸ₯‰21 Β· ⭐ 940) - A packaged and flexible version of the CRAFT text detector and.. MIT -- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 220 Β· πŸ“₯ 100K Β· πŸ“‹ 140 - 29% open Β· ⏱️ 18.06.2021): +- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 240 Β· πŸ“₯ 180K Β· πŸ“‹ 150 - 31% open Β· ⏱️ 07.10.2021): ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 15K / month Β· πŸ“¦ 2 Β· ⏱️ 14.06.2021): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 5.3K / month Β· πŸ“¦ 2 Β· ⏱️ 07.10.2021): ``` pip install keras-ocr ```
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attention-ocr (πŸ₯‰20 Β· ⭐ 870 Β· πŸ’€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT +
attention-ocr (πŸ₯‰21 Β· ⭐ 880) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT -- [GitHub](https://github.com/emedvedev/attention-ocr) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 230 Β· πŸ“¦ 18 Β· πŸ“‹ 150 - 14% open Β· ⏱️ 31.10.2020): +- [GitHub](https://github.com/emedvedev/attention-ocr) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 240 Β· πŸ“¦ 18 Β· πŸ“‹ 150 - 14% open Β· ⏱️ 29.10.2021): ``` git clone https://github.com/emedvedev/attention-ocr ``` -- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 520 / month Β· ⏱️ 19.04.2019): +- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 400 / month Β· ⏱️ 19.04.2019): ``` pip install aocr ```
doc2text (πŸ₯‰19 Β· ⭐ 1.2K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT -- [GitHub](https://github.com/jlsutherland/doc2text) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 100 Β· πŸ“¦ 44 Β· πŸ“‹ 23 - 60% open Β· ⏱️ 01.12.2020): +- [GitHub](https://github.com/jlsutherland/doc2text) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 100 Β· πŸ“¦ 49 Β· πŸ“‹ 23 - 60% open Β· ⏱️ 01.12.2020): ``` git clone https://github.com/jlsutherland/doc2text ``` -- [PyPi](https://pypi.org/project/doc2text) (πŸ“₯ 430 / month Β· ⏱️ 06.09.2016): +- [PyPi](https://pypi.org/project/doc2text) (πŸ“₯ 400 / month Β· ⏱️ 06.09.2016): ``` pip install doc2text ```
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calamari (πŸ₯‰19 Β· ⭐ 860) - Line based ATR Engine based on OCRopy. Apache-2 +
calamari (πŸ₯‰19 Β· ⭐ 870) - Line based ATR Engine based on OCRopy. Apache-2 -- [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 180 Β· πŸ“‹ 210 - 15% open Β· ⏱️ 05.08.2021): +- [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 180 Β· πŸ“‹ 220 - 16% open Β· ⏱️ 02.10.2021): ``` git clone https://github.com/Calamari-OCR/calamari ``` -- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 820 / month Β· πŸ“¦ 2 Β· ⏱️ 13.11.2018): +- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 960 / month Β· πŸ“¦ 2 Β· ⏱️ 13.11.2018): ``` pip install calamari_ocr ```
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Show 2 hidden projects... +
Mozart (πŸ₯‰10 Β· ⭐ 330) - An optical music recognition (OMR) system. Converts sheet music.. Apache-2 + +- [GitHub](https://github.com/aashrafh/Mozart) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 45 Β· πŸ“‹ 9 - 33% open Β· ⏱️ 05.05.2021): + + ``` + git clone https://github.com/aashrafh/Mozart + ``` +
+
Show 1 hidden projects... -- pdftabextract (πŸ₯‰19 Β· ⭐ 1.9K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 -- Mozart (πŸ₯‰10 Β· ⭐ 290) - An optical music recognition (OMR) system. Converts sheet music.. Apache-2 +- pdftabextract (πŸ₯‰19 Β· ⭐ 2K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2

@@ -4477,202 +4459,202 @@ _Libraries for optical character recognition (OCR) and text extraction from imag _General-purpose data containers & structures as well as utilities & extensions for pandas._ -
pandas (πŸ₯‡43 Β· ⭐ 31K) - Flexible and powerful data analysis / manipulation library for.. BSD-3 +
pandas (πŸ₯‡43 Β· ⭐ 32K) - Flexible and powerful data analysis / manipulation library for.. BSD-3 -- [GitHub](https://github.com/pandas-dev/pandas) (πŸ‘¨β€πŸ’» 2.8K Β· πŸ”€ 13K Β· πŸ“₯ 120K Β· πŸ“¦ 520K Β· πŸ“‹ 21K - 16% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/pandas-dev/pandas) (πŸ‘¨β€πŸ’» 2.8K Β· πŸ”€ 13K Β· πŸ“₯ 130K Β· πŸ“¦ 570K Β· πŸ“‹ 22K - 16% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/pandas-dev/pandas ``` -- [PyPi](https://pypi.org/project/pandas) (πŸ“₯ 83M / month Β· πŸ“¦ 77K Β· ⏱️ 15.08.2021): +- [PyPi](https://pypi.org/project/pandas) (πŸ“₯ 70M / month Β· πŸ“¦ 77K Β· ⏱️ 17.10.2021): ``` pip install pandas ``` -- [Conda](https://anaconda.org/conda-forge/pandas) (πŸ“₯ 19M Β· ⏱️ 16.08.2021): +- [Conda](https://anaconda.org/conda-forge/pandas) (πŸ“₯ 21M Β· ⏱️ 06.11.2021): ``` conda install -c conda-forge pandas ```
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numpy (πŸ₯‡38 Β· ⭐ 18K) - The fundamental package for scientific computing with Python. BSD-3 +
numpy (πŸ₯‡38 Β· ⭐ 19K) - The fundamental package for scientific computing with Python. BSD-3 -- [GitHub](https://github.com/numpy/numpy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.8K Β· πŸ“₯ 380K Β· πŸ“¦ 810K Β· πŸ“‹ 10K - 23% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/numpy/numpy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 6.1K Β· πŸ“₯ 420K Β· πŸ“¦ 890K Β· πŸ“‹ 10K - 22% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/numpy/numpy ``` -- [PyPi](https://pypi.org/project/numpy) (πŸ“₯ 83M / month Β· πŸ“¦ 170K Β· ⏱️ 15.08.2021): +- [PyPi](https://pypi.org/project/numpy) (πŸ“₯ 92M / month Β· πŸ“¦ 170K Β· ⏱️ 05.11.2021): ``` pip install numpy ``` -- [Conda](https://anaconda.org/conda-forge/numpy) (πŸ“₯ 23M Β· ⏱️ 16.08.2021): +- [Conda](https://anaconda.org/conda-forge/numpy) (πŸ“₯ 26M Β· ⏱️ 05.11.2021): ``` conda install -c conda-forge numpy ```
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Arrow (πŸ₯‡37 Β· ⭐ 8.3K) - Apache Arrow is a multi-language toolbox for accelerated data.. Apache-2 +
Arrow (πŸ₯‡37 Β· ⭐ 8.7K) - Apache Arrow is a multi-language toolbox for accelerated data.. Apache-2 -- [GitHub](https://github.com/apache/arrow) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 2K Β· πŸ“¦ 51 Β· πŸ“‹ 780 - 18% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/apache/arrow) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 2.1K Β· πŸ“¦ 56 Β· πŸ“‹ 870 - 23% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/apache/arrow ``` -- [PyPi](https://pypi.org/project/pyarrow) (πŸ“₯ 31M / month Β· πŸ“¦ 990 Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/pyarrow) (πŸ“₯ 34M / month Β· πŸ“¦ 990 Β· ⏱️ 26.10.2021): ``` pip install pyarrow ``` -- [Conda](https://anaconda.org/conda-forge/arrow) (πŸ“₯ 730K Β· ⏱️ 24.06.2021): +- [Conda](https://anaconda.org/conda-forge/arrow) (πŸ“₯ 820K Β· ⏱️ 26.10.2021): ``` conda install -c conda-forge arrow ```
h5py (πŸ₯ˆ36 Β· ⭐ 1.6K) - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5.. BSD-3 -- [GitHub](https://github.com/h5py/h5py) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 410 Β· πŸ“₯ 1.3K Β· πŸ“¦ 130K Β· πŸ“‹ 1.2K - 17% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/h5py/h5py) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 430 Β· πŸ“₯ 1.6K Β· πŸ“¦ 140K Β· πŸ“‹ 1.3K - 17% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/h5py/h5py ``` -- [PyPi](https://pypi.org/project/h5py) (πŸ“₯ 9.9M / month Β· πŸ“¦ 23K Β· ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/h5py) (πŸ“₯ 11M / month Β· πŸ“¦ 23K Β· ⏱️ 16.11.2021): ``` pip install h5py ``` -- [Conda](https://anaconda.org/conda-forge/h5py) (πŸ“₯ 5.9M Β· ⏱️ 19.08.2021): +- [Conda](https://anaconda.org/conda-forge/h5py) (πŸ“₯ 6.6M Β· ⏱️ 13.09.2021): ``` conda install -c conda-forge h5py ```
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numexpr (πŸ₯ˆ31 Β· ⭐ 1.6K) - Fast numerical array expression evaluator for Python, NumPy, PyTables,.. MIT +
numexpr (πŸ₯ˆ31 Β· ⭐ 1.7K) - Fast numerical array expression evaluator for Python, NumPy, PyTables,.. MIT -- [GitHub](https://github.com/pydata/numexpr) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 170 Β· πŸ“‹ 310 - 17% open Β· ⏱️ 03.03.2021): +- [GitHub](https://github.com/pydata/numexpr) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 170 Β· πŸ“¦ 35K Β· πŸ“‹ 310 - 18% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/pydata/numexpr ``` -- [PyPi](https://pypi.org/project/numexpr) (πŸ“₯ 1.5M / month Β· πŸ“¦ 5.5K Β· ⏱️ 03.03.2021): +- [PyPi](https://pypi.org/project/numexpr) (πŸ“₯ 1.8M / month Β· πŸ“¦ 5.5K Β· ⏱️ 03.03.2021): ``` pip install numexpr ``` -- [Conda](https://anaconda.org/conda-forge/numexpr) (πŸ“₯ 2.9M Β· ⏱️ 05.03.2021): +- [Conda](https://anaconda.org/conda-forge/numexpr) (πŸ“₯ 3.3M Β· ⏱️ 16.11.2021): ``` conda install -c conda-forge numexpr ```
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Koalas (πŸ₯ˆ30 Β· ⭐ 2.9K) - Koalas: pandas API on Apache Spark. Apache-2 - -- [GitHub](https://github.com/databricks/koalas) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 320 Β· πŸ“₯ 1K Β· πŸ“¦ 110 Β· πŸ“‹ 600 - 20% open Β· ⏱️ 26.08.2021): - - ``` - git clone https://github.com/databricks/koalas - ``` -- [PyPi](https://pypi.org/project/koalas) (πŸ“₯ 3.6M / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2021): - ``` - pip install koalas - ``` -- [Conda](https://anaconda.org/conda-forge/koalas) (πŸ“₯ 98K Β· ⏱️ 18.06.2021): - ``` - conda install -c conda-forge koalas - ``` -
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xarray (πŸ₯ˆ30 Β· ⭐ 2.2K) - N-D labeled arrays and datasets in Python. Apache-2 +
xarray (πŸ₯ˆ30 Β· ⭐ 2.3K) - N-D labeled arrays and datasets in Python. Apache-2 -- [GitHub](https://github.com/pydata/xarray) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 690 Β· πŸ“¦ 7.3K Β· πŸ“‹ 3K - 28% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/pydata/xarray) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 740 Β· πŸ“¦ 8.2K Β· πŸ“‹ 3.1K - 29% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/pydata/xarray ``` -- [PyPi](https://pypi.org/project/xarray) (πŸ“₯ 840K / month Β· πŸ“¦ 1.1K Β· ⏱️ 23.07.2021): +- [PyPi](https://pypi.org/project/xarray) (πŸ“₯ 1.2M / month Β· πŸ“¦ 1.1K Β· ⏱️ 05.11.2021): ``` pip install xarray ``` -- [Conda](https://anaconda.org/conda-forge/xarray) (πŸ“₯ 3.8M Β· ⏱️ 26.07.2021): +- [Conda](https://anaconda.org/conda-forge/xarray) (πŸ“₯ 4.2M Β· ⏱️ 08.11.2021): ``` conda install -c conda-forge xarray ```
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Bottleneck (πŸ₯ˆ30 Β· ⭐ 630 Β· πŸ’€) - Fast NumPy array functions written in C. BSD-2 +
Bottleneck (πŸ₯ˆ30 Β· ⭐ 670 Β· πŸ’€) - Fast NumPy array functions written in C. BSD-2 -- [GitHub](https://github.com/pydata/bottleneck) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 73 Β· πŸ“¦ 25K Β· πŸ“‹ 210 - 15% open Β· ⏱️ 24.01.2021): +- [GitHub](https://github.com/pydata/bottleneck) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 73 Β· πŸ“¦ 28K Β· πŸ“‹ 210 - 16% open Β· ⏱️ 24.01.2021): ``` git clone https://github.com/pydata/bottleneck ``` -- [PyPi](https://pypi.org/project/Bottleneck) (πŸ“₯ 660K / month Β· πŸ“¦ 2.9K Β· ⏱️ 21.02.2020): +- [PyPi](https://pypi.org/project/Bottleneck) (πŸ“₯ 450K / month Β· πŸ“¦ 2.9K Β· ⏱️ 21.02.2020): ``` pip install Bottleneck ``` -- [Conda](https://anaconda.org/conda-forge/bottleneck) (πŸ“₯ 1.7M Β· ⏱️ 24.08.2021): +- [Conda](https://anaconda.org/conda-forge/bottleneck) (πŸ“₯ 1.8M Β· ⏱️ 04.11.2021): ``` conda install -c conda-forge bottleneck ```
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Modin (πŸ₯ˆ29 Β· ⭐ 6.4K) - Modin: Speed up your Pandas workflows by changing a single line of.. Apache-2 +
Modin (πŸ₯ˆ29 Β· ⭐ 6.6K) - Modin: Speed up your Pandas workflows by changing a single line of.. Apache-2 -- [GitHub](https://github.com/modin-project/modin) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 450 Β· πŸ“₯ 200K Β· πŸ“¦ 440 Β· πŸ“‹ 2K - 31% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/modin-project/modin) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 460 Β· πŸ“₯ 200K Β· πŸ“¦ 500 Β· πŸ“‹ 2.2K - 30% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/modin-project/modin ``` -- [PyPi](https://pypi.org/project/modin) (πŸ“₯ 130K / month Β· πŸ“¦ 18 Β· ⏱️ 21.08.2021): +- [PyPi](https://pypi.org/project/modin) (πŸ“₯ 150K / month Β· πŸ“¦ 18 Β· ⏱️ 09.11.2021): ``` pip install modin ```
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TinyDB (πŸ₯ˆ29 Β· ⭐ 4.5K) - TinyDB is a lightweight document oriented database optimized for your.. MIT +
TinyDB (πŸ₯ˆ29 Β· ⭐ 4.6K) - TinyDB is a lightweight document oriented database optimized for your.. MIT -- [GitHub](https://github.com/msiemens/tinydb) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 410 Β· πŸ“‹ 270 - 4% open Β· ⏱️ 14.08.2021): +- [GitHub](https://github.com/msiemens/tinydb) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 410 Β· πŸ“‹ 270 - 4% open Β· ⏱️ 27.10.2021): ``` git clone https://github.com/msiemens/tinydb ``` -- [PyPi](https://pypi.org/project/tinydb) (πŸ“₯ 320K / month Β· πŸ“¦ 1.1K Β· ⏱️ 17.07.2021): +- [PyPi](https://pypi.org/project/tinydb) (πŸ“₯ 410K / month Β· πŸ“¦ 1.1K Β· ⏱️ 23.09.2021): ``` pip install tinydb ``` -- [Conda](https://anaconda.org/conda-forge/tinydb) (πŸ“₯ 130K Β· ⏱️ 14.08.2021): +- [Conda](https://anaconda.org/conda-forge/tinydb) (πŸ“₯ 150K Β· ⏱️ 23.09.2021): ``` conda install -c conda-forge tinydb ```
+
Koalas (πŸ₯ˆ29 Β· ⭐ 3K) - Koalas: pandas API on Apache Spark. Apache-2 + +- [GitHub](https://github.com/databricks/koalas) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 320 Β· πŸ“₯ 1K Β· πŸ“¦ 140 Β· πŸ“‹ 580 - 16% open Β· ⏱️ 21.10.2021): + + ``` + git clone https://github.com/databricks/koalas + ``` +- [PyPi](https://pypi.org/project/koalas) (πŸ“₯ 2.9M / month Β· πŸ“¦ 2 Β· ⏱️ 19.10.2021): + ``` + pip install koalas + ``` +- [Conda](https://anaconda.org/conda-forge/koalas) (πŸ“₯ 110K Β· ⏱️ 20.10.2021): + ``` + conda install -c conda-forge koalas + ``` +
PyTables (πŸ₯ˆ29 Β· ⭐ 1.1K) - A Python package to manage extremely large amounts of data. BSD-3 -- [GitHub](https://github.com/PyTables/PyTables) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 200 Β· πŸ“₯ 160 Β· πŸ“‹ 620 - 27% open Β· ⏱️ 19.07.2021): +- [GitHub](https://github.com/PyTables/PyTables) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 220 Β· πŸ“₯ 160 Β· πŸ“‹ 630 - 28% open Β· ⏱️ 26.09.2021): ``` git clone https://github.com/PyTables/PyTables ``` -- [PyPi](https://pypi.org/project/tables) (πŸ“₯ 840K / month Β· πŸ“¦ 3.8K Β· ⏱️ 30.10.2019): +- [PyPi](https://pypi.org/project/tables) (πŸ“₯ 1.1M / month Β· πŸ“¦ 3.8K Β· ⏱️ 30.10.2019): ``` pip install tables ``` -- [Conda](https://anaconda.org/conda-forge/pytables) (πŸ“₯ 3M Β· ⏱️ 14.01.2021): +- [Conda](https://anaconda.org/conda-forge/pytables) (πŸ“₯ 3.4M Β· ⏱️ 03.09.2021): ``` conda install -c conda-forge pytables ```
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zarr (πŸ₯ˆ28 Β· ⭐ 750) - An implementation of chunked, compressed, N-dimensional arrays for Python. MIT +
zarr (πŸ₯‰27 Β· ⭐ 810) - An implementation of chunked, compressed, N-dimensional arrays for Python. MIT -- [GitHub](https://github.com/zarr-developers/zarr-python) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 130 Β· πŸ“¦ 820 Β· πŸ“‹ 460 - 45% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/zarr-developers/zarr-python) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 130 Β· πŸ“¦ 930 Β· πŸ“‹ 470 - 42% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/zarr-developers/zarr-python ``` -- [PyPi](https://pypi.org/project/zarr) (πŸ“₯ 47K / month Β· πŸ“¦ 72 Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/zarr) (πŸ“₯ 66K / month Β· πŸ“¦ 72 Β· ⏱️ 04.11.2021): ``` pip install zarr ``` -- [Conda](https://anaconda.org/conda-forge/zarr) (πŸ“₯ 890K Β· ⏱️ 21.05.2021): +- [Conda](https://anaconda.org/conda-forge/zarr) (πŸ“₯ 1.1M Β· ⏱️ 30.09.2021): ``` conda install -c conda-forge zarr ```
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swifter (πŸ₯‰26 Β· ⭐ 1.7K) - A package which efficiently applies any function to a pandas.. MIT +
swifter (πŸ₯‰26 Β· ⭐ 1.8K) - A package which efficiently applies any function to a pandas.. MIT -- [GitHub](https://github.com/jmcarpenter2/swifter) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 84 Β· πŸ“¦ 370 Β· πŸ“‹ 100 - 20% open Β· ⏱️ 25.06.2021): +- [GitHub](https://github.com/jmcarpenter2/swifter) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 83 Β· πŸ“¦ 420 Β· πŸ“‹ 100 - 20% open Β· ⏱️ 25.06.2021): ``` git clone https://github.com/jmcarpenter2/swifter ``` -- [PyPi](https://pypi.org/project/swifter) (πŸ“₯ 90K / month Β· πŸ“¦ 32 Β· ⏱️ 25.06.2021): +- [PyPi](https://pypi.org/project/swifter) (πŸ“₯ 140K / month Β· πŸ“¦ 32 Β· ⏱️ 25.06.2021): ``` pip install swifter ``` @@ -4683,7 +4665,7 @@ _General-purpose data containers & structures as well as utilities & extensions
datasketch (πŸ₯‰26 Β· ⭐ 1.6K) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog,.. MIT -- [GitHub](https://github.com/ekzhu/datasketch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 220 Β· πŸ“₯ 18 Β· πŸ“¦ 310 Β· πŸ“‹ 120 - 19% open Β· ⏱️ 02.06.2021): +- [GitHub](https://github.com/ekzhu/datasketch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 220 Β· πŸ“₯ 18 Β· πŸ“¦ 330 Β· πŸ“‹ 120 - 20% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/ekzhu/datasketch @@ -4693,123 +4675,108 @@ _General-purpose data containers & structures as well as utilities & extensions pip install datasketch ```
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Vaex (πŸ₯‰25 Β· ⭐ 6.5K) - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and.. MIT +
Vaex (πŸ₯‰25 Β· ⭐ 6.7K) - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and.. MIT -- [GitHub](https://github.com/vaexio/vaex) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 500 Β· πŸ“₯ 220 Β· πŸ“‹ 860 - 38% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/vaexio/vaex) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 520 Β· πŸ“₯ 220 Β· πŸ“‹ 940 - 36% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/vaexio/vaex ``` -- [PyPi](https://pypi.org/project/vaex) (πŸ“₯ 21K / month Β· πŸ“¦ 4 Β· ⏱️ 13.08.2021): +- [PyPi](https://pypi.org/project/vaex) (πŸ“₯ 25K / month Β· πŸ“¦ 4 Β· ⏱️ 10.09.2021): ``` pip install vaex ``` -- [Conda](https://anaconda.org/conda-forge/vaex) (πŸ“₯ 110K Β· ⏱️ 18.06.2021): +- [Conda](https://anaconda.org/conda-forge/vaex) (πŸ“₯ 120K Β· ⏱️ 27.09.2021): ``` conda install -c conda-forge vaex ```
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bcolz (πŸ₯‰25 Β· ⭐ 930 Β· πŸ’€) - A columnar data container that can be compressed. BSD-3 - -- [GitHub](https://github.com/Blosc/bcolz) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 120 Β· πŸ“¦ 1.6K Β· πŸ“‹ 250 - 50% open Β· ⏱️ 10.09.2020): - - ``` - git clone https://github.com/Blosc/bcolz - ``` -- [PyPi](https://pypi.org/project/bcolz) (πŸ“₯ 27K / month Β· πŸ“¦ 970 Β· ⏱️ 13.04.2018): - ``` - pip install bcolz - ``` -- [Conda](https://anaconda.org/conda-forge/bcolz) (πŸ“₯ 260K Β· ⏱️ 05.11.2019): - ``` - conda install -c conda-forge bcolz - ``` -
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polars (πŸ₯‰24 Β· ⭐ 2.2K) - Fast multi-threaded DataFrame library in Rust and Python. MIT +
polars (πŸ₯‰25 Β· ⭐ 3K) - Fast multi-threaded DataFrame library in Rust and Python. MIT -- [GitHub](https://github.com/pola-rs/polars) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 130 Β· πŸ“¦ 4 Β· πŸ“‹ 490 - 12% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/pola-rs/polars) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 180 Β· πŸ“¦ 4 Β· πŸ“‹ 710 - 11% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/pola-rs/polars ``` -- [PyPi](https://pypi.org/project/polars) (πŸ“₯ 11K / month Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/polars) (πŸ“₯ 19K / month Β· ⏱️ 16.11.2021): ``` pip install polars ```
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PandaralΒ·lel (πŸ₯‰24 Β· ⭐ 1.7K) - A simple and efficient tool to parallelize Pandas.. BSD-3 +
PandaralΒ·lel (πŸ₯‰25 Β· ⭐ 1.8K) - A simple and efficient tool to parallelize Pandas.. BSD-3 -- [GitHub](https://github.com/nalepae/pandarallel) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 120 Β· πŸ“¦ 280 Β· πŸ“‹ 140 - 57% open Β· ⏱️ 04.02.2021): +- [GitHub](https://github.com/nalepae/pandarallel) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 340 Β· πŸ“‹ 140 - 53% open Β· ⏱️ 17.10.2021): ``` git clone https://github.com/nalepae/pandarallel ``` -- [PyPi](https://pypi.org/project/pandarallel) (πŸ“₯ 180K / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/pandarallel) (πŸ“₯ 170K / month Β· ⏱️ 17.10.2021): ``` pip install pandarallel ```
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Arctic (πŸ₯‰23 Β· ⭐ 2.4K) - Arctic is a high performance datastore for numeric data. ❗️LGPL-2.1 +
Arctic (πŸ₯‰24 Β· ⭐ 2.5K) - Arctic is a high performance datastore for numeric data. ❗️LGPL-2.1 -- [GitHub](https://github.com/man-group/arctic) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 460 Β· πŸ“₯ 160 Β· πŸ“¦ 130 Β· πŸ“‹ 520 - 16% open Β· ⏱️ 23.07.2021): +- [GitHub](https://github.com/man-group/arctic) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 500 Β· πŸ“₯ 170 Β· πŸ“¦ 140 Β· πŸ“‹ 540 - 17% open Β· ⏱️ 29.10.2021): ``` git clone https://github.com/man-group/arctic ``` -- [PyPi](https://pypi.org/project/arctic) (πŸ“₯ 4.8K / month Β· πŸ“¦ 42 Β· ⏱️ 01.12.2020): +- [PyPi](https://pypi.org/project/arctic) (πŸ“₯ 5.1K / month Β· πŸ“¦ 42 Β· ⏱️ 28.10.2021): ``` pip install arctic ``` -- [Conda](https://anaconda.org/conda-forge/arctic) (πŸ“₯ 15K Β· ⏱️ 16.12.2019): +- [Conda](https://anaconda.org/conda-forge/arctic) (πŸ“₯ 17K Β· ⏱️ 16.12.2019): ``` conda install -c conda-forge arctic ```
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datatable (πŸ₯‰22 Β· ⭐ 1.3K) - A Python package for manipulating 2-dimensional tabular data.. MPL-2.0 +
datatable (πŸ₯‰22 Β· ⭐ 1.4K) - A Python package for manipulating 2-dimensional tabular data.. MPL-2.0 -- [GitHub](https://github.com/h2oai/datatable) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 120 Β· πŸ“₯ 1.1K Β· πŸ“‹ 1.4K - 9% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/h2oai/datatable) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 120 Β· πŸ“₯ 1.2K Β· πŸ“‹ 1.4K - 9% open Β· ⏱️ 13.11.2021): ``` git clone https://github.com/h2oai/datatable ``` -- [PyPi](https://pypi.org/project/datatable) (πŸ“₯ 95K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): +- [PyPi](https://pypi.org/project/datatable) (πŸ“₯ 69K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): ``` pip install datatable ```
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Bounter (πŸ₯‰17 Β· ⭐ 920) - Efficient Counter that uses a limited (bounded) amount of memory.. MIT +
Bounter (πŸ₯‰18 Β· ⭐ 930) - Efficient Counter that uses a limited (bounded) amount of memory.. MIT -- [GitHub](https://github.com/RaRe-Technologies/bounter) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 48 Β· πŸ“¦ 24 Β· πŸ“‹ 21 - 57% open Β· ⏱️ 24.05.2021): +- [GitHub](https://github.com/RaRe-Technologies/bounter) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 48 Β· πŸ“¦ 25 Β· πŸ“‹ 23 - 60% open Β· ⏱️ 24.05.2021): ``` git clone https://github.com/RaRe-Technologies/bounter ``` -- [PyPi](https://pypi.org/project/bounter) (πŸ“₯ 140 / month Β· πŸ“¦ 14 Β· ⏱️ 17.08.2020): +- [PyPi](https://pypi.org/project/bounter) (πŸ“₯ 92 / month Β· πŸ“¦ 14 Β· ⏱️ 17.08.2020): ``` pip install bounter ```
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PandaPy (πŸ₯‰14 Β· ⭐ 480 Β· πŸ’€) - PandaPy has the speed of NumPy and the usability of Pandas 10x to.. MIT +
PandaPy (πŸ₯‰14 Β· ⭐ 490) - PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x.. MIT -- [GitHub](https://github.com/firmai/pandapy) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 52 Β· πŸ“¦ 1 Β· πŸ“‹ 3 - 66% open Β· ⏱️ 12.11.2020): +- [GitHub](https://github.com/firmai/pandapy) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 56 Β· πŸ“¦ 1 Β· πŸ“‹ 3 - 66% open Β· ⏱️ 20.10.2021): ``` git clone https://github.com/firmai/pandapy ``` -- [PyPi](https://pypi.org/project/pandapy) (πŸ“₯ 93 / month Β· ⏱️ 25.01.2020): +- [PyPi](https://pypi.org/project/pandapy) (πŸ“₯ 63 / month Β· ⏱️ 25.01.2020): ``` pip install pandapy ```
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Show 7 hidden projects... +
Show 8 hidden projects... - Blaze (πŸ₯ˆ28 Β· ⭐ 3K Β· πŸ’€) - NumPy and Pandas interface to Big Data. BSD-3 - sklearn-pandas (πŸ₯‰27 Β· ⭐ 2.5K) - Pandas integration with sklearn. ❗️Zlib -- pandasql (πŸ₯‰24 Β· ⭐ 1K Β· πŸ’€) - sqldf for pandas. MIT -- pickleDB (πŸ₯‰21 Β· ⭐ 600 Β· πŸ’€) - pickleDB is an open source key-value store using Python's json.. BSD-3 -- Pandas Summary (πŸ₯‰21 Β· ⭐ 360 Β· πŸ’€) - An extension to pandas dataframes describe function. MIT -- StaticFrame (πŸ₯‰21 Β· ⭐ 240) - Immutable and grow-only Pandas-like DataFrames with a more explicit.. MIT -- fletcher (πŸ₯‰19 Β· ⭐ 210) - Pandas ExtensionDType/Array backed by Apache Arrow. MIT +- bcolz (πŸ₯‰26 Β· ⭐ 940 Β· πŸ’€) - A columnar data container that can be compressed. BSD-3 +- pandasql (πŸ₯‰24 Β· ⭐ 1.1K Β· πŸ’€) - sqldf for pandas. MIT +- pickleDB (πŸ₯‰23 Β· ⭐ 620 Β· πŸ’€) - pickleDB is an open source key-value store using Python's json.. BSD-3 +- StaticFrame (πŸ₯‰22 Β· ⭐ 250) - Immutable and grow-only Pandas-like DataFrames with a more explicit.. MIT +- Pandas Summary (πŸ₯‰21 Β· ⭐ 370 Β· πŸ’€) - An extension to pandas dataframes describe function. MIT +- fletcher (πŸ₯‰19 Β· ⭐ 220 Β· πŸ’€) - Pandas ExtensionDType/Array backed by Apache Arrow. MIT

@@ -4819,7 +4786,7 @@ _General-purpose data containers & structures as well as utilities & extensions _Libraries for loading, collecting, and extracting data from a variety of data sources and formats._ -πŸ”— best-of-python - Data Extraction ( ⭐ 1.7K) - Collection of data-loading and -extraction libraries. +πŸ”— best-of-python - Data Extraction ( ⭐ 1.8K) - Collection of data-loading and -extraction libraries.
@@ -4829,7 +4796,7 @@ _Libraries for loading, collecting, and extracting data from a variety of data s _Libraries for web scraping, crawling, downloading, and mining as well as libraries._ -πŸ”— best-of-web-python - Web Scraping ( ⭐ 1.3K) - Collection of web-scraping and crawling libraries. +πŸ”— best-of-web-python - Web Scraping ( ⭐ 1.4K) - Collection of web-scraping and crawling libraries.
@@ -4839,41 +4806,41 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar _Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks._ -
Celery (πŸ₯‡39 Β· ⭐ 18K) - Asynchronous task queue/job queue based on distributed message passing. BSD-3 +
Celery (πŸ₯‡40 Β· ⭐ 18K) - Asynchronous task queue/job queue based on distributed message passing. BSD-3 -- [GitHub](https://github.com/celery/celery) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 4K Β· πŸ“¦ 57K Β· πŸ“‹ 4.6K - 11% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/celery/celery) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 4.1K Β· πŸ“¦ 61K Β· πŸ“‹ 4.6K - 10% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/celery/celery ``` -- [PyPi](https://pypi.org/project/celery) (πŸ“₯ 4.8M / month Β· πŸ“¦ 28K Β· ⏱️ 17.08.2021): +- [PyPi](https://pypi.org/project/celery) (πŸ“₯ 4.7M / month Β· πŸ“¦ 28K Β· ⏱️ 16.11.2021): ``` pip install celery ``` -- [Conda](https://anaconda.org/conda-forge/celery) (πŸ“₯ 600K Β· ⏱️ 29.06.2021): +- [Conda](https://anaconda.org/conda-forge/celery) (πŸ“₯ 750K Β· ⏱️ 29.06.2021): ``` conda install -c conda-forge celery ```
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joblib (πŸ₯‡35 Β· ⭐ 2.5K) - Computing with Python functions. BSD-3 +
joblib (πŸ₯‡35 Β· ⭐ 2.6K) - Computing with Python functions. BSD-3 -- [GitHub](https://github.com/joblib/joblib) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 300 Β· πŸ“¦ 120K Β· πŸ“‹ 660 - 44% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/joblib/joblib) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 320 Β· πŸ“¦ 140K Β· πŸ“‹ 710 - 46% open Β· ⏱️ 08.11.2021): ``` git clone https://github.com/joblib/joblib ``` -- [PyPi](https://pypi.org/project/joblib) (πŸ“₯ 28M / month Β· πŸ“¦ 6.6K Β· ⏱️ 09.02.2021): +- [PyPi](https://pypi.org/project/joblib) (πŸ“₯ 29M / month Β· πŸ“¦ 6.6K Β· ⏱️ 07.10.2021): ``` pip install joblib ``` -- [Conda](https://anaconda.org/conda-forge/joblib) (πŸ“₯ 4.9M Β· ⏱️ 09.02.2021): +- [Conda](https://anaconda.org/conda-forge/joblib) (πŸ“₯ 6.1M Β· ⏱️ 07.10.2021): ``` conda install -c conda-forge joblib ```
luigi (πŸ₯‡34 Β· ⭐ 15K) - Luigi is a Python module that helps you build complex pipelines of batch.. Apache-2 -- [GitHub](https://github.com/spotify/luigi) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 2.3K Β· πŸ“¦ 1.5K Β· πŸ“‹ 940 - 9% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/spotify/luigi) (πŸ‘¨β€πŸ’» 570 Β· πŸ”€ 2.3K Β· πŸ“¦ 1.6K Β· πŸ“‹ 940 - 9% open Β· ⏱️ 07.11.2021): ``` git clone https://github.com/spotify/luigi @@ -4882,438 +4849,428 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched ``` pip install luigi ``` -- [Conda](https://anaconda.org/anaconda/luigi) (πŸ“₯ 7.9K Β· ⏱️ 17.04.2021): +- [Conda](https://anaconda.org/anaconda/luigi) (πŸ“₯ 8.4K Β· ⏱️ 17.04.2021): ``` conda install -c anaconda luigi ```
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rq (πŸ₯‡34 Β· ⭐ 7.9K) - Simple job queues for Python. BSD-3 +
Airflow (πŸ₯‡33 Β· ⭐ 24K) - Platform to programmatically author, schedule, and monitor workflows. Apache-2 -- [GitHub](https://github.com/rq/rq) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.2K Β· πŸ“¦ 8.6K Β· πŸ“‹ 900 - 17% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/apache/airflow) (πŸ‘¨β€πŸ’» 2.1K Β· πŸ”€ 9.6K Β· πŸ“₯ 210K Β· πŸ“‹ 4.6K - 20% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/rq/rq + git clone https://github.com/apache/airflow ``` -- [PyPi](https://pypi.org/project/rq) (πŸ“₯ 470K / month Β· πŸ“¦ 3.3K Β· ⏱️ 30.06.2021): +- [PyPi](https://pypi.org/project/apache-airflow) (πŸ“₯ 3M / month Β· πŸ“¦ 290 Β· ⏱️ 15.11.2021): ``` - pip install rq + pip install apache-airflow ``` -- [Conda](https://anaconda.org/conda-forge/rq) (πŸ“₯ 59K Β· ⏱️ 30.06.2021): +- [Conda](https://anaconda.org/conda-forge/airflow) (πŸ“₯ 470K Β· ⏱️ 15.11.2021): ``` - conda install -c conda-forge rq + conda install -c conda-forge airflow + ``` +- [Docker Hub](https://hub.docker.com/r/apache/airflow) (πŸ“₯ 51M Β· ⭐ 300 Β· ⏱️ 16.11.2021): + ``` + docker pull apache/airflow ```
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Beam (πŸ₯‡34 Β· ⭐ 5K) - Unified programming model to define and execute data processing pipelines,.. Apache-2 +
rq (πŸ₯‡33 Β· ⭐ 8K) - Simple job queues for Python. BSD-3 -- [GitHub](https://github.com/apache/beam) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 3.2K Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/rq/rq) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.3K Β· πŸ“¦ 9.1K Β· πŸ“‹ 930 - 18% open Β· ⏱️ 27.10.2021): ``` - git clone https://github.com/apache/beam + git clone https://github.com/rq/rq ``` -- [PyPi](https://pypi.org/project/apache-beam) (πŸ“₯ 4.3M / month Β· πŸ“¦ 190 Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/rq) (πŸ“₯ 520K / month Β· πŸ“¦ 3.3K Β· ⏱️ 09.09.2021): ``` - pip install apache-beam + pip install rq + ``` +- [Conda](https://anaconda.org/conda-forge/rq) (πŸ“₯ 64K Β· ⏱️ 30.06.2021): + ``` + conda install -c conda-forge rq ```
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Airflow (πŸ₯ˆ33 Β· ⭐ 23K Β· πŸ“ˆ) - Platform to programmatically author, schedule, and monitor.. Apache-2 +
Beam (πŸ₯‡33 Β· ⭐ 5.1K) - Unified programming model to define and execute data processing.. Apache-2 -- [GitHub](https://github.com/apache/airflow) (πŸ‘¨β€πŸ’» 2K Β· πŸ”€ 9.1K Β· πŸ“₯ 170K Β· πŸ“‹ 4.1K - 24% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/apache/beam) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 3.3K Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/apache/airflow - ``` -- [PyPi](https://pypi.org/project/apache-airflow) (πŸ“₯ 3.3M / month Β· πŸ“¦ 290 Β· ⏱️ 23.08.2021): - ``` - pip install apache-airflow - ``` -- [Conda](https://anaconda.org/conda-forge/airflow) (πŸ“₯ 380K Β· ⏱️ 16.07.2021): - ``` - conda install -c conda-forge airflow + git clone https://github.com/apache/beam ``` -- [Docker Hub](https://hub.docker.com/r/apache/airflow) (πŸ“₯ 36M Β· ⭐ 280 Β· ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/apache-beam) (πŸ“₯ 3M / month Β· πŸ“¦ 190 Β· ⏱️ 11.11.2021): ``` - docker pull apache/airflow + pip install apache-beam ```
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Prefect (πŸ₯ˆ31 Β· ⭐ 6.7K) - The easiest way to automate your data. Apache-2 +
Prefect (πŸ₯ˆ31 Β· ⭐ 7.8K) - The easiest way to automate your data. Apache-2 -- [GitHub](https://github.com/PrefectHQ/prefect) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 640 Β· πŸ“¦ 410 Β· πŸ“‹ 1.9K - 19% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/PrefectHQ/prefect) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 730 Β· πŸ“¦ 500 Β· πŸ“‹ 2K - 20% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/PrefectHQ/prefect ``` -- [PyPi](https://pypi.org/project/prefect) (πŸ“₯ 160K / month Β· πŸ“¦ 2 Β· ⏱️ 17.08.2021): +- [PyPi](https://pypi.org/project/prefect) (πŸ“₯ 190K / month Β· πŸ“¦ 2 Β· ⏱️ 10.11.2021): ``` pip install prefect ``` -- [Conda](https://anaconda.org/conda-forge/prefect) (πŸ“₯ 140K Β· ⏱️ 21.08.2021): +- [Conda](https://anaconda.org/conda-forge/prefect) (πŸ“₯ 220K Β· ⏱️ 11.11.2021): ``` conda install -c conda-forge prefect ```
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Dagster (πŸ₯ˆ31 Β· ⭐ 3.7K) - A data orchestrator for machine learning, analytics, and ETL. Apache-2 +
Dagster (πŸ₯ˆ31 Β· ⭐ 4K) - An orchestration platform for the development, production, and.. Apache-2 -- [GitHub](https://github.com/dagster-io/dagster) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 430 Β· πŸ“¦ 220 Β· πŸ“‹ 3.2K - 21% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/dagster-io/dagster) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 480 Β· πŸ“¦ 260 Β· πŸ“‹ 3.5K - 23% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/dagster-io/dagster ``` -- [PyPi](https://pypi.org/project/dagster) (πŸ“₯ 170K / month Β· πŸ“¦ 4 Β· ⏱️ 19.08.2021): +- [PyPi](https://pypi.org/project/dagster) (πŸ“₯ 170K / month Β· πŸ“¦ 4 Β· ⏱️ 15.11.2021): ``` pip install dagster ``` -- [Conda](https://anaconda.org/conda-forge/dagster) (πŸ“₯ 350K Β· ⏱️ 24.08.2021): +- [Conda](https://anaconda.org/conda-forge/dagster) (πŸ“₯ 400K Β· ⏱️ 16.11.2021): ``` conda install -c conda-forge dagster ```
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dbt (πŸ₯ˆ31 Β· ⭐ 3.4K) - dbt (data build tool) enables data analysts and engineers to transform.. Apache-2 +
dbt (πŸ₯ˆ31 Β· ⭐ 3.8K) - dbt enables data analysts and engineers to transform their data using the.. Apache-2 -- [GitHub](https://github.com/dbt-labs/dbt) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 640 Β· πŸ“¦ 360 Β· πŸ“‹ 2.2K - 18% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/dbt-labs/dbt-core) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 700 Β· πŸ“₯ 8 Β· πŸ“¦ 210 Β· πŸ“‹ 2.3K - 12% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/fishtown-analytics/dbt ``` -- [PyPi](https://pypi.org/project/dbt) (πŸ“₯ 490K / month Β· πŸ“¦ 18 Β· ⏱️ 19.08.2021): +- [PyPi](https://pypi.org/project/dbt) (πŸ“₯ 700K / month Β· πŸ“¦ 18 Β· ⏱️ 15.11.2021): ``` pip install dbt ``` -- [Conda](https://anaconda.org/conda-forge/dbt) (πŸ“₯ 180K Β· ⏱️ 04.05.2021): +- [Conda](https://anaconda.org/conda-forge/dbt) (πŸ“₯ 190K Β· ⏱️ 02.11.2021): ``` conda install -c conda-forge dbt ```
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faust (πŸ₯ˆ30 Β· ⭐ 5.7K Β· πŸ’€) - Python Stream Processing. BSD-3 +
mrjob (πŸ₯ˆ30 Β· ⭐ 2.6K Β· πŸ’€) - Run MapReduce jobs on Hadoop or Amazon Web Services. Apache-2 -- [GitHub](https://github.com/robinhood/faust) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 480 Β· πŸ“¦ 830 Β· πŸ“‹ 480 - 51% open Β· ⏱️ 09.10.2020): +- [GitHub](https://github.com/Yelp/mrjob) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 590 Β· πŸ“¦ 880 Β· πŸ“‹ 1.3K - 15% open Β· ⏱️ 16.11.2020): ``` - git clone https://github.com/robinhood/faust + git clone https://github.com/Yelp/mrjob + ``` +- [PyPi](https://pypi.org/project/mrjob) (πŸ“₯ 110K / month Β· πŸ“¦ 110 Β· ⏱️ 17.09.2020): ``` -- [PyPi](https://pypi.org/project/faust) (πŸ“₯ 490K / month Β· πŸ“¦ 28 Β· ⏱️ 25.02.2020): + pip install mrjob + ``` +- [Conda](https://anaconda.org/conda-forge/mrjob) (πŸ“₯ 410K Β· ⏱️ 24.12.2020): ``` - pip install faust + conda install -c conda-forge mrjob ```
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Kedro (πŸ₯ˆ29 Β· ⭐ 4.3K) - A Python framework for creating reproducible, maintainable and modular.. Apache-2 +
Kedro (πŸ₯ˆ29 Β· ⭐ 4.7K) - A Python framework for creating reproducible, maintainable and modular.. Apache-2 -- [GitHub](https://github.com/quantumblacklabs/kedro) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 480 Β· πŸ“¦ 540 Β· πŸ“‹ 520 - 7% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/quantumblacklabs/kedro) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 520 Β· πŸ“¦ 600 Β· πŸ“‹ 570 - 7% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/quantumblacklabs/kedro ``` -- [PyPi](https://pypi.org/project/kedro) (πŸ“₯ 210K / month Β· πŸ“¦ 16 Β· ⏱️ 16.06.2021): +- [PyPi](https://pypi.org/project/kedro) (πŸ“₯ 220K / month Β· πŸ“¦ 16 Β· ⏱️ 14.09.2021): ``` pip install kedro ```
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mrjob (πŸ₯ˆ29 Β· ⭐ 2.6K Β· πŸ’€) - Run MapReduce jobs on Hadoop or Amazon Web Services. Apache-2 +
huey (πŸ₯ˆ28 Β· ⭐ 3.7K) - a little task queue for python. MIT -- [GitHub](https://github.com/Yelp/mrjob) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 590 Β· πŸ“¦ 820 Β· πŸ“‹ 1.3K - 15% open Β· ⏱️ 16.11.2020): +- [GitHub](https://github.com/coleifer/huey) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 320 Β· πŸ“¦ 820 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 12.11.2021): ``` - git clone https://github.com/Yelp/mrjob + git clone https://github.com/coleifer/huey ``` -- [PyPi](https://pypi.org/project/mrjob) (πŸ“₯ 120K / month Β· πŸ“¦ 110 Β· ⏱️ 17.09.2020): +- [PyPi](https://pypi.org/project/huey) (πŸ“₯ 49K / month Β· πŸ“¦ 290 Β· ⏱️ 16.09.2021): ``` - pip install mrjob + pip install huey ``` -- [Conda](https://anaconda.org/conda-forge/mrjob) (πŸ“₯ 390K Β· ⏱️ 24.12.2020): +- [Conda](https://anaconda.org/conda-forge/huey) (πŸ“₯ 22K Β· ⏱️ 16.10.2019): ``` - conda install -c conda-forge mrjob + conda install -c conda-forge huey ```
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mleap (πŸ₯ˆ29 Β· ⭐ 1.3K Β· πŸ“ˆ) - MLeap: Deploy ML Pipelines to Production. Apache-2 +
mleap (πŸ₯ˆ28 Β· ⭐ 1.3K) - MLeap: Deploy ML Pipelines to Production. Apache-2 -- [GitHub](https://github.com/combust/mleap) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 280 Β· πŸ“¦ 160 Β· πŸ“‹ 430 - 20% open Β· ⏱️ 02.08.2021): +- [GitHub](https://github.com/combust/mleap) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 280 Β· πŸ“¦ 170 Β· πŸ“‹ 430 - 19% open Β· ⏱️ 08.11.2021): ``` git clone https://github.com/combust/mleap ``` -- [PyPi](https://pypi.org/project/mleap) (πŸ“₯ 450K / month Β· πŸ“¦ 32 Β· ⏱️ 07.05.2021): +- [PyPi](https://pypi.org/project/mleap) (πŸ“₯ 150K / month Β· πŸ“¦ 32 Β· ⏱️ 27.09.2021): ``` pip install mleap ``` -- [Conda](https://anaconda.org/conda-forge/mleap) (πŸ“₯ 37K Β· ⏱️ 10.05.2021): +- [Conda](https://anaconda.org/conda-forge/mleap) (πŸ“₯ 41K Β· ⏱️ 02.10.2021): ``` conda install -c conda-forge mleap ```
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huey (πŸ₯ˆ28 Β· ⭐ 3.6K) - a little task queue for python. MIT +
Activeloop (πŸ₯ˆ27 Β· ⭐ 3.7K) - Dataset format for AI. Easily build and manage datasets for.. MPL-2.0 -- [GitHub](https://github.com/coleifer/huey) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 310 Β· πŸ“¦ 790 Β· ⏱️ 13.08.2021): +- [GitHub](https://github.com/activeloopai/Hub) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 300 Β· πŸ“¦ 130 Β· πŸ“‹ 320 - 19% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/coleifer/huey - ``` -- [PyPi](https://pypi.org/project/huey) (πŸ“₯ 46K / month Β· πŸ“¦ 290 Β· ⏱️ 10.08.2021): - ``` - pip install huey + git clone https://github.com/activeloopai/Hub ``` -- [Conda](https://anaconda.org/conda-forge/huey) (πŸ“₯ 21K Β· ⏱️ 16.10.2019): +- [PyPi](https://pypi.org/project/hub) (πŸ“₯ 13K / month Β· πŸ“¦ 52 Β· ⏱️ 10.11.2021): ``` - conda install -c conda-forge huey + pip install hub ```
TFX (πŸ₯ˆ27 Β· ⭐ 1.6K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 460 Β· πŸ“‹ 680 - 34% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 520 Β· πŸ“‹ 710 - 34% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 1.7M / month Β· πŸ“¦ 4 Β· ⏱️ 17.08.2021): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 770K / month Β· πŸ“¦ 4 Β· ⏱️ 17.11.2021): ``` pip install tfx ```
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petl (πŸ₯ˆ27 Β· ⭐ 920) - Python Extract Transform and Load Tables of Data. MIT +
petl (πŸ₯ˆ27 Β· ⭐ 950) - Python Extract Transform and Load Tables of Data. MIT -- [GitHub](https://github.com/petl-developers/petl) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 150 Β· πŸ“¦ 500 Β· πŸ“‹ 420 - 16% open Β· ⏱️ 11.06.2021): +- [GitHub](https://github.com/petl-developers/petl) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 160 Β· πŸ“¦ 550 Β· πŸ“‹ 420 - 17% open Β· ⏱️ 15.10.2021): ``` git clone https://github.com/petl-developers/petl ``` -- [PyPi](https://pypi.org/project/petl) (πŸ“₯ 56K / month Β· πŸ“¦ 110 Β· ⏱️ 27.03.2021): +- [PyPi](https://pypi.org/project/petl) (πŸ“₯ 39K / month Β· πŸ“¦ 110 Β· ⏱️ 27.03.2021): ``` pip install petl ``` -- [Conda](https://anaconda.org/conda-forge/petl) (πŸ“₯ 30K Β· ⏱️ 05.04.2021): +- [Conda](https://anaconda.org/conda-forge/petl) (πŸ“₯ 40K Β· ⏱️ 05.04.2021): ``` conda install -c conda-forge petl ```
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Activeloop (πŸ₯ˆ26 Β· ⭐ 3.5K) - Fastest dataset optimization and management for machine and deep.. MPL-2.0 +
PyFunctional (πŸ₯‰26 Β· ⭐ 1.9K) - Python library for creating data pipelines with chain functional.. MIT -- [GitHub](https://github.com/activeloopai/Hub) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 270 Β· πŸ“¦ 130 Β· πŸ“‹ 280 - 11% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/EntilZha/PyFunctional) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 100 Β· πŸ“¦ 360 Β· πŸ“‹ 120 - 3% open Β· ⏱️ 05.11.2021): ``` - git clone https://github.com/activeloopai/Hub + git clone https://github.com/EntilZha/PyFunctional ``` -- [PyPi](https://pypi.org/project/hub) (πŸ“₯ 5.6K / month Β· πŸ“¦ 52 Β· ⏱️ 16.08.2021): +- [PyPi](https://pypi.org/project/pyfunctional) (πŸ“₯ 76K / month Β· ⏱️ 12.01.2021): ``` - pip install hub + pip install pyfunctional ```
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PyFunctional (πŸ₯ˆ26 Β· ⭐ 1.9K) - Python library for creating data pipelines with chain functional.. MIT +
Great Expectations (πŸ₯‰25 Β· ⭐ 5.7K) - Always know what to expect from your data. Apache-2 -- [GitHub](https://github.com/EntilZha/PyFunctional) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 100 Β· πŸ“¦ 330 Β· πŸ“‹ 120 - 2% open Β· ⏱️ 06.07.2021): +- [GitHub](https://github.com/great-expectations/great_expectations) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 750 Β· πŸ“‹ 1.1K - 16% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/EntilZha/PyFunctional + git clone https://github.com/great-expectations/great_expectations ``` -- [PyPi](https://pypi.org/project/pyfunctional) (πŸ“₯ 72K / month Β· ⏱️ 12.01.2021): +- [PyPi](https://pypi.org/project/great_expectations) (πŸ“₯ 2.1M / month Β· πŸ“¦ 6 Β· ⏱️ 12.11.2021): ``` - pip install pyfunctional + pip install great_expectations ```
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Great Expectations (πŸ₯‰25 Β· ⭐ 4.9K) - Always know what to expect from your data. Apache-2 +
bonobo (πŸ₯‰23 Β· ⭐ 1.5K Β· πŸ’€) - Extract Transform Load for Python 3.5+. Apache-2 -- [GitHub](https://github.com/great-expectations/great_expectations) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 650 Β· πŸ“‹ 980 - 14% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/python-bonobo/bonobo) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 180 - 38% open Β· ⏱️ 10.03.2021): ``` - git clone https://github.com/great-expectations/great_expectations + git clone https://github.com/python-bonobo/bonobo ``` -- [PyPi](https://pypi.org/project/great_expectations) (πŸ“₯ 1.3M / month Β· πŸ“¦ 6 Β· ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/bonobo) (πŸ“₯ 4.7K / month Β· πŸ“¦ 52 Β· ⏱️ 20.07.2019): ``` - pip install great_expectations + pip install bonobo ```
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streamparse (πŸ₯‰24 Β· ⭐ 1.4K Β· πŸ’€) - Run Python in Apache Storm topologies. Pythonic API, CLI.. Apache-2 +
streamparse (πŸ₯‰23 Β· ⭐ 1.4K Β· πŸ’€) - Run Python in Apache Storm topologies. Pythonic API, CLI.. Apache-2 -- [GitHub](https://github.com/Parsely/streamparse) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 220 Β· πŸ“¦ 49 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 18.12.2020): +- [GitHub](https://github.com/Parsely/streamparse) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 220 Β· πŸ“¦ 50 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 18.12.2020): ``` git clone https://github.com/Parsely/streamparse ``` -- [PyPi](https://pypi.org/project/streamparse) (πŸ“₯ 3.6K / month Β· πŸ“¦ 52 Β· ⏱️ 07.10.2020): +- [PyPi](https://pypi.org/project/streamparse) (πŸ“₯ 2.8K / month Β· πŸ“¦ 52 Β· ⏱️ 07.10.2020): ``` pip install streamparse ```
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bonobo (πŸ₯‰23 Β· ⭐ 1.5K) - Extract Transform Load for Python 3.5+. Apache-2 +
arq (πŸ₯‰23 Β· ⭐ 1K) - Fast job queuing and RPC in python with asyncio and redis. MIT -- [GitHub](https://github.com/python-bonobo/bonobo) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 180 - 38% open Β· ⏱️ 10.03.2021): +- [GitHub](https://github.com/samuelcolvin/arq) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 83 Β· πŸ“¦ 100 Β· πŸ“‹ 120 - 24% open Β· ⏱️ 15.10.2021): ``` - git clone https://github.com/python-bonobo/bonobo + git clone https://github.com/samuelcolvin/arq ``` -- [PyPi](https://pypi.org/project/bonobo) (πŸ“₯ 2.7K / month Β· πŸ“¦ 52 Β· ⏱️ 20.07.2019): +- [PyPi](https://pypi.org/project/arq) (πŸ“₯ 13K / month Β· πŸ“¦ 8 Β· ⏱️ 02.09.2021): ``` - pip install bonobo + pip install arq ```
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arq (πŸ₯‰23 Β· ⭐ 910) - Fast job queuing and RPC in python with asyncio and redis. MIT +
ploomber (πŸ₯‰23 Β· ⭐ 720) - Write maintainable, production-ready pipelines using Jupyter or your.. Apache-2 -- [GitHub](https://github.com/samuelcolvin/arq) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 74 Β· πŸ“¦ 70 Β· πŸ“‹ 110 - 23% open Β· ⏱️ 06.07.2021): +- [GitHub](https://github.com/ploomber/ploomber) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 60 Β· πŸ“¦ 17 Β· πŸ“‹ 390 - 18% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/samuelcolvin/arq + git clone https://github.com/ploomber/ploomber ``` -- [PyPi](https://pypi.org/project/arq) (πŸ“₯ 15K / month Β· πŸ“¦ 8 Β· ⏱️ 06.07.2021): +- [PyPi](https://pypi.org/project/ploomber) (πŸ“₯ 4K / month Β· ⏱️ 28.10.2021): ``` - pip install arq + pip install ploomber ```
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Pypeline (πŸ₯‰21 Β· ⭐ 1.2K) - Concurrent data pipelines in Python . MIT +
Pypeline (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - Concurrent data pipelines in Python . MIT -- [GitHub](https://github.com/cgarciae/pypeln) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 73 Β· πŸ“‹ 52 - 26% open Β· ⏱️ 13.04.2021): +- [GitHub](https://github.com/cgarciae/pypeln) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 74 Β· πŸ“‹ 52 - 26% open Β· ⏱️ 13.04.2021): ``` git clone https://github.com/cgarciae/pypeln ``` -- [PyPi](https://pypi.org/project/pypeln) (πŸ“₯ 14K / month Β· πŸ“¦ 10 Β· ⏱️ 05.01.2021): +- [PyPi](https://pypi.org/project/pypeln) (πŸ“₯ 9.5K / month Β· πŸ“¦ 10 Β· ⏱️ 05.01.2021): ``` pip install pypeln ```
TaskTiger (πŸ₯‰21 Β· ⭐ 1.1K) - Python task queue using Redis. MIT -- [GitHub](https://github.com/closeio/tasktiger) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 59 Β· πŸ“¦ 20 Β· πŸ“‹ 71 - 50% open Β· ⏱️ 16.08.2021): +- [GitHub](https://github.com/closeio/tasktiger) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 59 Β· πŸ“¦ 20 Β· πŸ“‹ 71 - 50% open Β· ⏱️ 07.10.2021): ``` git clone https://github.com/closeio/tasktiger ``` -- [PyPi](https://pypi.org/project/tasktiger) (πŸ“₯ 2.2K / month Β· πŸ“¦ 18 Β· ⏱️ 16.04.2021): +- [PyPi](https://pypi.org/project/tasktiger) (πŸ“₯ 1.9K / month Β· πŸ“¦ 18 Β· ⏱️ 16.04.2021): ``` pip install tasktiger ```
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pdpipe (πŸ₯‰21 Β· ⭐ 620) - Easy pipelines for pandas DataFrames. MIT +
pdpipe (πŸ₯‰21 Β· ⭐ 630) - Easy pipelines for pandas DataFrames. MIT -- [GitHub](https://github.com/pdpipe/pdpipe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 28 Β· πŸ“¦ 34 Β· πŸ“‹ 22 - 31% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/pdpipe/pdpipe) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 30 Β· πŸ“¦ 36 Β· πŸ“‹ 32 - 37% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/pdpipe/pdpipe ``` -- [PyPi](https://pypi.org/project/pdpipe) (πŸ“₯ 2.1K / month Β· ⏱️ 25.08.2021): +- [PyPi](https://pypi.org/project/pdpipe) (πŸ“₯ 2.3K / month Β· ⏱️ 15.11.2021): ``` pip install pdpipe ```
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ploomber (πŸ₯‰21 Β· ⭐ 390) - Write maintainable, production-ready pipelines using Jupyter or your.. Apache-2 - -- [GitHub](https://github.com/ploomber/ploomber) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 13 Β· πŸ“¦ 13 Β· πŸ“‹ 320 - 15% open Β· ⏱️ 23.08.2021): - - ``` - git clone https://github.com/ploomber/ploomber - ``` -- [PyPi](https://pypi.org/project/ploomber) (πŸ“₯ 3.4K / month Β· ⏱️ 16.08.2021): - ``` - pip install ploomber - ``` -
dpark (πŸ₯‰20 Β· ⭐ 2.7K Β· πŸ’€) - Python clone of Spark, a MapReduce alike framework in Python. BSD-3 -- [GitHub](https://github.com/douban/dpark) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 550 Β· πŸ“¦ 3 Β· ⏱️ 25.12.2020): +- [GitHub](https://github.com/douban/dpark) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 550 Β· πŸ“¦ 3 Β· πŸ“‹ 61 - 1% open Β· ⏱️ 25.12.2020): ``` git clone https://github.com/douban/dpark ``` -- [PyPi](https://pypi.org/project/dpark) (πŸ“₯ 58 / month Β· πŸ“¦ 1 Β· ⏱️ 27.07.2018): +- [PyPi](https://pypi.org/project/dpark) (πŸ“₯ 64 / month Β· πŸ“¦ 1 Β· ⏱️ 27.07.2018): ``` pip install dpark ```
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Databolt Flow (πŸ₯‰19 Β· ⭐ 920) - Python library for building highly effective data science workflows. MIT +
Databolt Flow (πŸ₯‰20 Β· ⭐ 940) - Python library for building highly effective data science workflows. MIT -- [GitHub](https://github.com/d6t/d6tflow) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 67 Β· πŸ“¦ 13 Β· πŸ“‹ 22 - 40% open Β· ⏱️ 28.04.2021): +- [GitHub](https://github.com/d6t/d6tflow) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 69 Β· πŸ“¦ 17 Β· πŸ“‹ 23 - 43% open Β· ⏱️ 28.09.2021): ``` git clone https://github.com/d6t/d6tflow ``` -- [PyPi](https://pypi.org/project/d6tflow) (πŸ“₯ 380 / month Β· ⏱️ 17.03.2021): +- [PyPi](https://pypi.org/project/d6tflow) (πŸ“₯ 240 / month Β· ⏱️ 06.10.2021): ``` pip install d6tflow ```
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mrq (πŸ₯‰19 Β· ⭐ 850 Β· πŸ’€) - Mr. Queue - A distributed worker task queue in Python using Redis & gevent. MIT +
mrq (πŸ₯‰19 Β· ⭐ 860 Β· πŸ’€) - Mr. Queue - A distributed worker task queue in Python using Redis & gevent. MIT -- [GitHub](https://github.com/pricingassistant/mrq) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 110 Β· πŸ“¦ 25 Β· πŸ“‹ 180 - 33% open Β· ⏱️ 13.12.2020): +- [GitHub](https://github.com/pricingassistant/mrq) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 110 Β· πŸ“¦ 26 Β· πŸ“‹ 180 - 33% open Β· ⏱️ 13.12.2020): ``` git clone https://github.com/pricingassistant/mrq ``` -- [PyPi](https://pypi.org/project/mrq) (πŸ“₯ 420 / month Β· πŸ“¦ 12 Β· ⏱️ 31.08.2018): +- [PyPi](https://pypi.org/project/mrq) (πŸ“₯ 290 / month Β· πŸ“¦ 12 Β· ⏱️ 31.08.2018): ``` pip install mrq ```
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kale (πŸ₯‰19 Β· ⭐ 420) - Kubeflows superfood for Data Scientists. Apache-2 - -- [GitHub](https://github.com/kubeflow-kale/kale) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 75 Β· πŸ“‹ 140 - 57% open Β· ⏱️ 19.05.2021): - - ``` - git clone https://github.com/kubeflow-kale/kale - ``` -- [PyPi](https://pypi.org/project/kubeflow-kale) (πŸ“₯ 1.7K / month Β· ⏱️ 19.05.2021): - ``` - pip install kubeflow-kale - ``` -
spark-deep-learning (πŸ₯‰18 Β· ⭐ 1.9K) - Deep Learning Pipelines for Apache Spark. Apache-2 -- [GitHub](https://github.com/databricks/spark-deep-learning) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 460 Β· πŸ“¦ 17 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 19.08.2021): +- [GitHub](https://github.com/databricks/spark-deep-learning) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 460 Β· πŸ“¦ 19 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 19.08.2021): ``` git clone https://github.com/databricks/spark-deep-learning ```
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riko (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - A Python stream processing engine modeled after Yahoo! Pipes. MIT +
Optimus (πŸ₯‰18 Β· ⭐ 1.1K) - Agile Data Preparation Workflows madeeasy with Pandas, Dask,.. Apache-2 -- [GitHub](https://github.com/nerevu/riko) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 72 Β· πŸ“‹ 30 - 73% open Β· ⏱️ 14.08.2020): +- [GitHub](https://github.com/hi-primus/optimus) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 200 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/nerevu/riko + git clone https://github.com/hi-primus/optimus ``` -- [PyPi](https://pypi.org/project/riko) (πŸ“₯ 410 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2020): +- [PyPi](https://pypi.org/project/optimuspyspark) (πŸ“₯ 5.1K / month Β· ⏱️ 30.05.2019): ``` - pip install riko + pip install optimuspyspark ```
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Optimus (πŸ₯‰18 Β· ⭐ 1K) - Agile Data Preparation Workflows madeeasy with Pandas, Dask,.. Apache-2 +
whylogs (πŸ₯‰18 Β· ⭐ 610 Β· βž•) - Open standard for end-to-end data and ML monitoring for any scale.. Apache-2 -- [GitHub](https://github.com/hi-primus/optimus) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 200 Β· πŸ“‹ 220 - 19% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/whylabs/whylogs) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 30 Β· πŸ“₯ 47 Β· πŸ“‹ 92 - 39% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/hi-primus/optimus + git clone https://github.com/whylabs/whylogs ``` -- [PyPi](https://pypi.org/project/optimuspyspark) (πŸ“₯ 8K / month Β· ⏱️ 30.05.2019): +- [PyPi](https://pypi.org/project/whylogs) (πŸ“₯ 2.8K / month Β· ⏱️ 16.11.2021): ``` - pip install optimuspyspark + pip install whylogs ```
Mara Pipelines (πŸ₯‰17 Β· ⭐ 1.8K) - A lightweight opinionated ETL framework, halfway between plain.. MIT -- [GitHub](https://github.com/mara/mara-pipelines) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 83 Β· πŸ“¦ 7 Β· πŸ“‹ 23 - 47% open Β· ⏱️ 08.03.2021): +- [GitHub](https://github.com/mara/mara-pipelines) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 85 Β· πŸ“¦ 7 Β· πŸ“‹ 23 - 47% open Β· ⏱️ 18.09.2021): ``` git clone https://github.com/mara/mara-pipelines ``` -- [PyPi](https://pypi.org/project/mara-pipelines) (πŸ“₯ 80 / month Β· ⏱️ 23.01.2021): +- [PyPi](https://pypi.org/project/mara-pipelines) (πŸ“₯ 54 / month Β· ⏱️ 23.01.2021): ``` pip install mara-pipelines ```
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zenml (πŸ₯‰17 Β· ⭐ 1.3K) - ZenML : MLOps framework to create reproducible ML pipelines for.. Apache-2 +
zenml (πŸ₯‰17 Β· ⭐ 1.4K) - ZenML : MLOps framework to create reproducible ML pipelines for.. Apache-2 -- [GitHub](https://github.com/zenml-io/zenml) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 68 Β· πŸ“¦ 1 Β· πŸ“‹ 48 - 33% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/zenml-io/zenml) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 77 Β· πŸ“‹ 49 - 10% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/maiot-io/zenml ``` -- [PyPi](https://pypi.org/project/zenml) (πŸ“₯ 260 / month Β· ⏱️ 10.06.2021): +- [PyPi](https://pypi.org/project/zenml) (πŸ“₯ 480 / month Β· ⏱️ 05.11.2021): ``` pip install zenml ```
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Show 6 hidden projects... +
kale (πŸ₯‰17 Β· ⭐ 460) - Kubeflows superfood for Data Scientists. Apache-2 + +- [GitHub](https://github.com/kubeflow-kale/kale) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 87 Β· πŸ“‹ 150 - 53% open Β· ⏱️ 20.10.2021): + + ``` + git clone https://github.com/kubeflow-kale/kale + ``` +- [PyPi](https://pypi.org/project/kubeflow-kale) (πŸ“₯ 900 / month Β· ⏱️ 19.05.2021): + ``` + pip install kubeflow-kale + ``` +
+
Show 8 hidden projects... -- pysparkling (πŸ₯‰22 Β· ⭐ 240) - A pure Python implementation of Apache Spark's RDD and DStream.. MIT +- faust (πŸ₯ˆ29 Β· ⭐ 5.9K Β· πŸ’€) - Python Stream Processing. BSD-3 +- pysparkling (πŸ₯‰23 Β· ⭐ 240 Β· πŸ’€) - A pure Python implementation of Apache Spark's RDD and DStream.. MIT - dbnd (πŸ₯‰21 Β· ⭐ 200) - DBND is an agile pipeline framework that helps data engineering teams.. Apache-2 -- BatchFlow (πŸ₯‰19 Β· ⭐ 160) - BatchFlow helps you conveniently work with random or sequential.. Apache-2 -- flupy (πŸ₯‰19 Β· ⭐ 160) - Fluent data pipelines for python and your shell. MIT -- bodywork-core (πŸ₯‰17 Β· ⭐ 270) - MLOps tool for deploying machine learning projects to.. ❗️AGPL-3.0 +- BatchFlow (πŸ₯‰19 Β· ⭐ 170) - BatchFlow helps you conveniently work with random or sequential.. Apache-2 +- flupy (πŸ₯‰19 Β· ⭐ 170) - Fluent data pipelines for python and your shell. MIT +- riko (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - A Python stream processing engine modeled after Yahoo! Pipes. MIT +- bodywork-core (πŸ₯‰17 Β· ⭐ 310) - ML pipeline orchestration and model deployments on.. ❗️AGPL-3.0 - Botflow (πŸ₯‰16 Β· ⭐ 1.2K Β· πŸ’€) - Python Fast Dataflow programming framework for Data pipeline work(.. BSD-3

@@ -5324,138 +5281,126 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched _Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._ -
dask (πŸ₯‡34 Β· ⭐ 8.7K) - Parallel computing with task scheduling. BSD-3 +
dask (πŸ₯‡34 Β· ⭐ 9.1K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.3K Β· πŸ“¦ 30K Β· πŸ“‹ 3.9K - 19% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.4K Β· πŸ“¦ 32K Β· πŸ“‹ 4.1K - 17% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 4.9M / month Β· πŸ“¦ 3.9K Β· ⏱️ 20.08.2021): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 8.9M / month Β· πŸ“¦ 3.9K Β· ⏱️ 08.11.2021): ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 3.9M Β· ⏱️ 21.08.2021): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 4.6M Β· ⏱️ 09.11.2021): ``` conda install -c conda-forge dask ```
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Ray (πŸ₯‡32 Β· ⭐ 17K) - An open source framework that provides a simple, universal API for.. Apache-2 +
Ray (πŸ₯‡32 Β· ⭐ 18K) - An open source framework that provides a simple, universal API for.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 550 Β· πŸ”€ 2.9K Β· πŸ“‹ 7.7K - 23% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 3K Β· πŸ“‹ 8.7K - 23% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 560K / month Β· πŸ“¦ 160 Β· ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 720K / month Β· πŸ“¦ 160 Β· ⏱️ 02.11.2021): ``` pip install ray ```
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dask.distributed (πŸ₯‡32 Β· ⭐ 1.2K) - A distributed task scheduler for Dask. BSD-3 +
dask.distributed (πŸ₯‡32 Β· ⭐ 1.3K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 540 Β· πŸ“¦ 20K Β· πŸ“‹ 2.4K - 38% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 570 Β· πŸ“¦ 21K Β· πŸ“‹ 2.5K - 35% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.2M / month Β· πŸ“¦ 1.8K Β· ⏱️ 20.08.2021): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 8.8M / month Β· πŸ“¦ 1.8K Β· ⏱️ 08.11.2021): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 5M Β· ⏱️ 21.08.2021): +- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 5.7M Β· ⏱️ 09.11.2021): ``` conda install -c conda-forge distributed ```
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horovod (πŸ₯ˆ29 Β· ⭐ 12K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 +
horovod (πŸ₯ˆ30 Β· ⭐ 12K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 -- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.9K Β· πŸ“¦ 420 Β· πŸ“‹ 1.9K - 13% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“¦ 460 Β· πŸ“‹ 1.9K - 13% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 45K / month Β· πŸ“¦ 40 Β· ⏱️ 10.06.2021): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 54K / month Β· πŸ“¦ 40 Β· ⏱️ 06.10.2021): ``` pip install horovod ```
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Mesh (πŸ₯ˆ28 Β· ⭐ 1.1K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 - -- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 180 Β· πŸ“¦ 560 Β· πŸ“‹ 92 - 85% open Β· ⏱️ 24.08.2021): - - ``` - git clone https://github.com/tensorflow/mesh - ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 1.3M / month Β· πŸ“¦ 56 Β· ⏱️ 24.03.2021): - ``` - pip install mesh-tensorflow - ``` -
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DeepSpeed (πŸ₯ˆ26 Β· ⭐ 5.4K) - DeepSpeed is a deep learning optimization library that makes.. MIT +
ipyparallel (πŸ₯ˆ27 Β· ⭐ 2.1K) - IPython Parallel: Interactive Parallel Computing in Python. BSD-3 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 550 Β· πŸ“¦ 77 Β· πŸ“‹ 590 - 48% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/ipython/ipyparallel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 810 Β· πŸ“¦ 1.7K Β· πŸ“‹ 320 - 19% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/microsoft/DeepSpeed + git clone https://github.com/ipython/ipyparallel ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 54K / month Β· ⏱️ 17.08.2021): +- [PyPi](https://pypi.org/project/ipyparallel) (πŸ“₯ 60K / month Β· πŸ“¦ 490 Β· ⏱️ 12.11.2021): ``` - pip install deepspeed + pip install ipyparallel ``` -- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (πŸ“₯ 9.5K Β· ⭐ 2 Β· ⏱️ 05.05.2021): +- [Conda](https://anaconda.org/conda-forge/ipyparallel) (πŸ“₯ 530K Β· ⏱️ 12.11.2021): ``` - docker pull deepspeed/deepspeed + conda install -c conda-forge ipyparallel ```
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Elephas (πŸ₯ˆ26 Β· ⭐ 1.5K) - Distributed Deep learning with Keras & Spark. MIT keras +
petastorm (πŸ₯ˆ27 Β· ⭐ 1.3K) - Petastorm library enables single machine or distributed training.. Apache-2 -- [GitHub](https://github.com/maxpumperla/elephas) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 290 Β· πŸ“¦ 46 Β· πŸ“‹ 150 - 16% open Β· ⏱️ 17.08.2021): +- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 210 Β· πŸ“₯ 310 Β· πŸ“¦ 45 Β· πŸ“‹ 270 - 50% open Β· ⏱️ 27.10.2021): ``` - git clone https://github.com/maxpumperla/elephas + git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/elephas) (πŸ“₯ 24K / month Β· πŸ“¦ 3 Β· ⏱️ 17.08.2021): +- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 140K / month Β· ⏱️ 04.09.2021): ``` - pip install elephas + pip install petastorm ```
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petastorm (πŸ₯ˆ26 Β· ⭐ 1.2K) - Petastorm library enables single machine or distributed training.. Apache-2 +
Mesh (πŸ₯ˆ27 Β· ⭐ 1.1K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 -- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 200 Β· πŸ“₯ 310 Β· πŸ“¦ 39 Β· πŸ“‹ 270 - 51% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 190 Β· πŸ“¦ 600 Β· πŸ“‹ 100 - 86% open Β· ⏱️ 18.10.2021): ``` - git clone https://github.com/uber/petastorm + git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 150K / month Β· ⏱️ 03.08.2021): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 360K / month Β· πŸ“¦ 56 Β· ⏱️ 24.03.2021): ``` - pip install petastorm + pip install mesh-tensorflow ```
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mpi4py (πŸ₯ˆ26 Β· ⭐ 440) - Python bindings for MPI. BSD-3 +
DeepSpeed (πŸ₯ˆ26 Β· ⭐ 5.9K) - DeepSpeed is a deep learning optimization library that makes.. MIT -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 68 Β· πŸ“₯ 1.5K Β· πŸ“‹ 37 - 16% open Β· ⏱️ 22.08.2021): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 650 Β· πŸ“¦ 120 Β· πŸ“‹ 730 - 51% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/mpi4py/mpi4py + git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 130K / month Β· πŸ“¦ 750 Β· ⏱️ 14.08.2021): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 43K / month Β· ⏱️ 11.11.2021): ``` - pip install mpi4py + pip install deepspeed ``` -- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 740K Β· ⏱️ 15.08.2021): +- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (πŸ“₯ 12K Β· ⭐ 3 Β· ⏱️ 05.05.2021): ``` - conda install -c conda-forge mpi4py + docker pull deepspeed/deepspeed ```
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BigDL (πŸ₯ˆ25 Β· ⭐ 3.8K) - BigDL: Distributed Deep Learning Framework for Apache Spark. Apache-2 +
BigDL (πŸ₯ˆ26 Β· ⭐ 3.8K) - Building Large-Scale AI Applications for Distributed Big Data. Apache-2 -- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 920 Β· πŸ“¦ 26 Β· πŸ“‹ 920 - 20% open Β· ⏱️ 28.07.2021): +- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 940 Β· πŸ“¦ 29 Β· πŸ“‹ 1K - 27% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 2.2K / month Β· πŸ“¦ 6 Β· ⏱️ 23.07.2021): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 8.3K / month Β· ⏱️ 17.11.2021): ``` pip install bigdl ``` @@ -5468,122 +5413,134 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ```
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TensorFlowOnSpark (πŸ₯ˆ25 Β· ⭐ 3.7K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 +
Elephas (πŸ₯ˆ26 Β· ⭐ 1.5K) - Distributed Deep learning with Keras & Spark. MIT keras -- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 940 Β· πŸ“‹ 360 - 3% open Β· ⏱️ 07.07.2021): +- [GitHub](https://github.com/maxpumperla/elephas) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 290 Β· πŸ“¦ 48 Β· πŸ“‹ 160 - 15% open Β· ⏱️ 17.08.2021): ``` - git clone https://github.com/yahoo/TensorFlowOnSpark + git clone https://github.com/maxpumperla/elephas ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 270K / month Β· πŸ“¦ 5 Β· ⏱️ 25.05.2021): +- [PyPi](https://pypi.org/project/elephas) (πŸ“₯ 92K / month Β· πŸ“¦ 3 Β· ⏱️ 17.08.2021): ``` - pip install tensorflowonspark + pip install elephas ```
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ipyparallel (πŸ₯ˆ25 Β· ⭐ 2K) - Interactive Parallel Computing in Python. BSD-3 +
mpi4py (πŸ₯ˆ26 Β· ⭐ 480) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/ipython/ipyparallel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 810 Β· πŸ“¦ 1.7K Β· πŸ“‹ 290 - 21% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 73 Β· πŸ“₯ 2.3K Β· πŸ“‹ 49 - 20% open Β· ⏱️ 12.11.2021): ``` - git clone https://github.com/ipython/ipyparallel + git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/ipyparallel) (πŸ“₯ 43K / month Β· πŸ“¦ 490 Β· ⏱️ 11.08.2021): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 140K / month Β· πŸ“¦ 750 Β· ⏱️ 04.11.2021): ``` - pip install ipyparallel + pip install mpi4py ``` -- [Conda](https://anaconda.org/conda-forge/ipyparallel) (πŸ“₯ 500K Β· ⏱️ 05.08.2021): +- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 830K Β· ⏱️ 05.11.2021): ``` - conda install -c conda-forge ipyparallel + conda install -c conda-forge mpi4py ```
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FairScale (πŸ₯ˆ25 Β· ⭐ 1.3K) - PyTorch extensions for high performance and large scale training. BSD-3 +
dask-ml (πŸ₯‰25 Β· ⭐ 760) - Scalable Machine Learning with Dask. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 100 Β· πŸ“¦ 64 Β· πŸ“‹ 200 - 24% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 220 Β· πŸ“¦ 510 Β· πŸ“‹ 460 - 49% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/facebookresearch/fairscale + git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 33K / month Β· ⏱️ 01.08.2021): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 62K / month Β· πŸ“¦ 42 Β· ⏱️ 17.11.2021): ``` - pip install fairscale + pip install dask-ml + ``` +- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 250K Β· ⏱️ 17.11.2021): + ``` + conda install -c conda-forge dask-ml ```
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dask-ml (πŸ₯‰24 Β· ⭐ 740) - Scalable Machine Learning with Dask. BSD-3 +
metrics (πŸ₯‰25 Β· ⭐ 560) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 -- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 200 Β· πŸ“¦ 460 Β· πŸ“‹ 420 - 47% open Β· ⏱️ 05.08.2021): +- [GitHub](https://github.com/PyTorchLightning/metrics) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 110 Β· πŸ“₯ 280 Β· πŸ“¦ 1.2K Β· πŸ“‹ 220 - 16% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/dask/dask-ml + git clone https://github.com/PyTorchLightning/metrics ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 47K / month Β· πŸ“¦ 42 Β· ⏱️ 03.05.2021): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 3.4K / month Β· πŸ“¦ 12 Β· ⏱️ 28.04.2018): ``` - pip install dask-ml + pip install metrics + ``` +
+
TensorFlowOnSpark (πŸ₯‰24 Β· ⭐ 3.7K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 + +- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 960 Β· πŸ“‹ 360 - 1% open Β· ⏱️ 15.10.2021): + + ``` + git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 240K Β· ⏱️ 03.05.2021): +- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 250K / month Β· πŸ“¦ 5 Β· ⏱️ 25.05.2021): ``` - conda install -c conda-forge dask-ml + pip install tensorflowonspark ```
-
metrics (πŸ₯‰24 Β· ⭐ 440) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 +
MMLSpark (πŸ₯‰23 Β· ⭐ 2.5K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/PyTorchLightning/metrics) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 84 Β· πŸ“₯ 180 Β· πŸ“¦ 640 Β· πŸ“‹ 160 - 14% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 580 Β· πŸ“‹ 450 - 41% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/PyTorchLightning/metrics + git clone https://github.com/Azure/mmlspark ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 3.1K / month Β· πŸ“¦ 12 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/mmlspark) (πŸ“₯ 39K / month Β· ⏱️ 18.03.2020): ``` - pip install metrics + pip install mmlspark ```
analytics-zoo (πŸ₯‰23 Β· ⭐ 2.4K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 -- [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 680 Β· πŸ“¦ 2 Β· πŸ“‹ 1.3K - 42% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 700 Β· πŸ“¦ 2 Β· πŸ“‹ 1.4K - 41% open Β· ⏱️ 26.10.2021): ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 1.7K / month Β· ⏱️ 22.08.2021): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 6.9K / month Β· ⏱️ 14.11.2021): ``` pip install analytics-zoo ```
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MMLSpark (πŸ₯‰22 Β· ⭐ 2.4K) - Microsoft Machine Learning for Apache Spark. MIT +
FairScale (πŸ₯‰23 Β· ⭐ 1.5K) - PyTorch extensions for high performance and large scale training. BSD-3 -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 540 Β· πŸ“‹ 460 - 45% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 130 Β· πŸ“¦ 100 Β· πŸ“‹ 250 - 22% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/Azure/mmlspark + git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/mmlspark) (πŸ“₯ 34K / month Β· ⏱️ 18.03.2020): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 54K / month Β· ⏱️ 08.11.2021): ``` - pip install mmlspark + pip install fairscale ```
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Submit it (πŸ₯‰22 Β· ⭐ 440) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT +
Submit it (πŸ₯‰22 Β· ⭐ 500) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 34 Β· πŸ“¦ 200 Β· πŸ“‹ 50 - 44% open Β· ⏱️ 20.08.2021): +- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 41 Β· πŸ“¦ 280 Β· πŸ“‹ 52 - 40% open Β· ⏱️ 05.10.2021): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 6.6K / month Β· ⏱️ 08.04.2021): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 8.2K / month Β· ⏱️ 24.09.2021): ``` pip install submitit ``` -- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 4K Β· ⏱️ 10.02.2021): +- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 4.9K Β· ⏱️ 10.02.2021): ``` conda install -c conda-forge submitit ```
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BytePS (πŸ₯‰19 Β· ⭐ 2.9K) - A high performance and generic framework for distributed DNN training. Apache-2 +
BytePS (πŸ₯‰19 Β· ⭐ 3K) - A high performance and generic framework for distributed DNN training. Apache-2 -- [GitHub](https://github.com/bytedance/byteps) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 400 Β· πŸ“‹ 250 - 39% open Β· ⏱️ 11.08.2021): +- [GitHub](https://github.com/bytedance/byteps) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 420 Β· πŸ“‹ 260 - 39% open Β· ⏱️ 12.10.2021): ``` git clone https://github.com/bytedance/byteps ``` -- [PyPi](https://pypi.org/project/byteps) (πŸ“₯ 240 / month Β· ⏱️ 02.08.2021): +- [PyPi](https://pypi.org/project/byteps) (πŸ“₯ 190 / month Β· ⏱️ 02.08.2021): ``` pip install byteps ``` @@ -5592,55 +5549,55 @@ _Libraries that provide capabilities to distribute and parallelize machine learn docker pull bytepsimage/tensorflow ```
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Apache Singa (πŸ₯‰19 Β· ⭐ 2.3K) - a distributed deep learning platform. Apache-2 +
Apache Singa (πŸ₯‰19 Β· ⭐ 2.4K) - a distributed deep learning platform. Apache-2 -- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 660 Β· πŸ“¦ 1 Β· πŸ“‹ 78 - 51% open Β· ⏱️ 10.08.2021): +- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 670 Β· πŸ“¦ 1 Β· πŸ“‹ 86 - 46% open Β· ⏱️ 10.08.2021): ``` git clone https://github.com/apache/singa ``` -- [Conda](https://anaconda.org/nusdbsystem/singa) (πŸ“₯ 290 Β· ⏱️ 09.08.2021): +- [Conda](https://anaconda.org/nusdbsystem/singa) (πŸ“₯ 360 Β· ⏱️ 09.08.2021): ``` conda install -c nusdbsystem singa ``` -- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 180 Β· ⭐ 3 Β· ⏱️ 04.06.2019): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 200 Β· ⭐ 4 Β· ⏱️ 04.06.2019): ``` docker pull apache/singa ```
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Fiber (πŸ₯‰19 Β· ⭐ 930) - Distributed Computing for AI Made Simple. Apache-2 +
Fiber (πŸ₯‰18 Β· ⭐ 950 Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 -- [GitHub](https://github.com/uber/fiber) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 100 Β· πŸ“¦ 28 Β· πŸ“‹ 28 - 71% open Β· ⏱️ 15.03.2021): +- [GitHub](https://github.com/uber/fiber) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 100 Β· πŸ“¦ 29 Β· πŸ“‹ 28 - 71% open Β· ⏱️ 15.03.2021): ``` git clone https://github.com/uber/fiber ``` -- [PyPi](https://pypi.org/project/fiber) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 09.07.2020): +- [PyPi](https://pypi.org/project/fiber) (πŸ“₯ 3.5K / month Β· πŸ“¦ 1 Β· ⏱️ 09.07.2020): ``` pip install fiber ```
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Hivemind (πŸ₯‰18 Β· ⭐ 770) - Decentralized deep learning in PyTorch. Built to train models on.. MIT +
Hivemind (πŸ₯‰18 Β· ⭐ 860) - Decentralized deep learning in PyTorch. Built to train models on.. MIT -- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 44 Β· πŸ“¦ 3 Β· πŸ“‹ 99 - 40% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 52 Β· πŸ“¦ 3 Β· πŸ“‹ 110 - 41% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 130 / month Β· πŸ“¦ 1 Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 120 / month Β· πŸ“¦ 1 Β· ⏱️ 26.08.2021): ``` pip install hivemind ```
Show 7 hidden projects... -- DEAP (πŸ₯ˆ28 Β· ⭐ 4.4K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 -- TensorFrames (πŸ₯‰20 Β· ⭐ 760 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 +- DEAP (πŸ₯ˆ28 Β· ⭐ 4.5K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 +- somoclu (πŸ₯‰20 Β· ⭐ 230) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT +- TensorFrames (πŸ₯‰19 Β· ⭐ 760 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 - sk-dist (πŸ₯‰19 Β· ⭐ 270) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 -- somoclu (πŸ₯‰19 Β· ⭐ 230) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT -- launchpad (πŸ₯‰16 Β· ⭐ 220 Β· 🐣) - Launchpad is a library that simplifies writing.. Apache-2 -- autodist (πŸ₯‰12 Β· ⭐ 100 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 -- LazyCluster (πŸ₯‰12 Β· ⭐ 43) - Distributed machine learning made simple. Apache-2 +- launchpad (πŸ₯‰17 Β· ⭐ 240) - Launchpad is a library that simplifies writing distributed.. Apache-2 +- autodist (πŸ₯‰13 Β· ⭐ 110 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 +- LazyCluster (πŸ₯‰12 Β· ⭐ 44) - Distributed machine learning made simple. Apache-2

@@ -5650,323 +5607,356 @@ _Libraries that provide capabilities to distribute and parallelize machine learn _Libraries for hyperparameter optimization, automl and neural architecture search._ -
Optuna (πŸ₯‡32 Β· ⭐ 5.1K) - A hyperparameter optimization framework. MIT +
Optuna (πŸ₯‡33 Β· ⭐ 5.5K) - A hyperparameter optimization framework. MIT -- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 550 Β· πŸ“¦ 1.8K Β· πŸ“‹ 880 - 12% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 600 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1K - 14% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/optuna/optuna ``` -- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 690K / month Β· πŸ“¦ 52 Β· ⏱️ 03.08.2021): +- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 960K / month Β· πŸ“¦ 52 Β· ⏱️ 04.10.2021): ``` pip install optuna ``` -- [Conda](https://anaconda.org/conda-forge/optuna) (πŸ“₯ 37K Β· ⏱️ 05.08.2021): +- [Conda](https://anaconda.org/conda-forge/optuna) (πŸ“₯ 46K Β· ⏱️ 04.10.2021): ``` conda install -c conda-forge optuna ```
-
Hyperopt (πŸ₯‡31 Β· ⭐ 5.8K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 +
Hyperopt (πŸ₯‡32 Β· ⭐ 6K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 -- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 880 Β· πŸ“¦ 4.1K Β· πŸ“‹ 570 - 60% open Β· ⏱️ 02.08.2021): +- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 920 Β· πŸ“¦ 5.2K Β· πŸ“‹ 580 - 60% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/hyperopt/hyperopt ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 1.1M / month Β· πŸ“¦ 500 Β· ⏱️ 07.10.2020): +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 1.4M / month Β· πŸ“¦ 500 Β· ⏱️ 17.11.2021): ``` pip install hyperopt ``` -- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 250K Β· ⏱️ 14.10.2020): +- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 290K Β· ⏱️ 14.10.2020): ``` conda install -c conda-forge hyperopt ```
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scikit-optimize (πŸ₯‡30 Β· ⭐ 2.2K) - Sequential model-based optimization with a `scipy.optimize`.. BSD-3 +
scikit-optimize (πŸ₯‡31 Β· ⭐ 2.2K) - Sequential model-based optimization with a `scipy.optimize`.. BSD-3 -- [GitHub](https://github.com/scikit-optimize/scikit-optimize) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 400 Β· πŸ“¦ 1.9K Β· πŸ“‹ 580 - 35% open Β· ⏱️ 22.06.2021): +- [GitHub](https://github.com/scikit-optimize/scikit-optimize) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 420 Β· πŸ“¦ 2.1K Β· πŸ“‹ 620 - 37% open Β· ⏱️ 12.10.2021): ``` git clone https://github.com/scikit-optimize/scikit-optimize ``` -- [PyPi](https://pypi.org/project/scikit-optimize) (πŸ“₯ 990K / month Β· πŸ“¦ 160 Β· ⏱️ 04.09.2020): +- [PyPi](https://pypi.org/project/scikit-optimize) (πŸ“₯ 570K / month Β· πŸ“¦ 160 Β· ⏱️ 12.10.2021): ``` pip install scikit-optimize ``` -- [Conda](https://anaconda.org/conda-forge/scikit-optimize) (πŸ“₯ 380K Β· ⏱️ 04.09.2020): - ``` - conda install -c conda-forge scikit-optimize - ``` -
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AutoKeras (πŸ₯‡29 Β· ⭐ 8.1K) - AutoML library for deep learning. Apache-2 - -- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.3K Β· πŸ“₯ 590 Β· πŸ“¦ 220 Β· πŸ“‹ 770 - 7% open Β· ⏱️ 07.08.2021): - - ``` - git clone https://github.com/keras-team/autokeras - ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 13K / month Β· πŸ“¦ 14 Β· ⏱️ 16.08.2021): +- [Conda](https://anaconda.org/conda-forge/scikit-optimize) (πŸ“₯ 510K Β· ⏱️ 24.10.2021): ``` - pip install autokeras + conda install -c conda-forge scikit-optimize ```
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Keras Tuner (πŸ₯‡29 Β· ⭐ 2.4K) - Hyperparameter tuning for humans. Apache-2 +
Keras Tuner (πŸ₯‡30 Β· ⭐ 2.4K) - Hyperparameter tuning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 300 Β· πŸ“¦ 810 Β· πŸ“‹ 350 - 47% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 310 Β· πŸ“¦ 960 Β· πŸ“‹ 360 - 45% open Β· ⏱️ 05.11.2021): ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 1.9M / month Β· πŸ“¦ 4 Β· ⏱️ 25.08.2021): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 940K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2021): ``` pip install keras-tuner ```
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NNI (πŸ₯ˆ28 Β· ⭐ 10K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT +
NNI (πŸ₯‡29 Β· ⭐ 11K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT -- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“¦ 140 Β· πŸ“‹ 1.4K - 15% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.5K Β· πŸ“¦ 150 Β· πŸ“‹ 1.4K - 15% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 11K / month Β· πŸ“¦ 16 Β· ⏱️ 12.08.2021): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 11K / month Β· πŸ“¦ 16 Β· ⏱️ 04.11.2021): ``` pip install nni ```
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auto-sklearn (πŸ₯ˆ28 Β· ⭐ 5.6K) - Automated Machine Learning with scikit-learn. BSD-3 +
AutoKeras (πŸ₯‡29 Β· ⭐ 8.2K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 1K Β· πŸ“¦ 190 Β· πŸ“‹ 760 - 13% open Β· ⏱️ 10.08.2021): +- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.3K Β· πŸ“₯ 990 Β· πŸ“¦ 250 Β· πŸ“‹ 780 - 7% open Β· ⏱️ 20.10.2021): ``` - git clone https://github.com/automl/auto-sklearn + git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 23K / month Β· πŸ“¦ 30 Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 22K / month Β· πŸ“¦ 14 Β· ⏱️ 02.11.2021): ``` - pip install auto-sklearn + pip install autokeras ```
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Bayesian Optimization (πŸ₯ˆ28 Β· ⭐ 5.3K Β· πŸ’€) - A Python implementation of global optimization with.. MIT +
Bayesian Optimization (πŸ₯‡29 Β· ⭐ 5.5K Β· πŸ’€) - A Python implementation of global optimization with.. MIT -- [GitHub](https://github.com/fmfn/BayesianOptimization) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 1.1K Β· πŸ“₯ 65 Β· πŸ“¦ 860 Β· πŸ“‹ 210 - 18% open Β· ⏱️ 19.12.2020): +- [GitHub](https://github.com/fmfn/BayesianOptimization) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 1.2K Β· πŸ“₯ 70 Β· πŸ“¦ 950 Β· πŸ“‹ 220 - 20% open Β· ⏱️ 19.12.2020): ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 140K / month Β· πŸ“¦ 92 Β· ⏱️ 16.05.2020): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 160K / month Β· πŸ“¦ 92 Β· ⏱️ 16.05.2020): ``` pip install bayesian-optimization ```
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featuretools (πŸ₯ˆ27 Β· ⭐ 5.7K) - An open source python library for automated feature engineering. BSD-3 +
featuretools (πŸ₯ˆ28 Β· ⭐ 5.9K) - An open source python library for automated feature engineering. BSD-3 -- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 740 Β· πŸ“¦ 820 Β· πŸ“‹ 640 - 20% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 770 Β· πŸ“¦ 870 Β· πŸ“‹ 700 - 21% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 310K / month Β· πŸ“¦ 70 Β· ⏱️ 17.08.2021): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 1.2M / month Β· πŸ“¦ 70 Β· ⏱️ 15.11.2021): ``` pip install featuretools ``` -- [Conda](https://anaconda.org/conda-forge/featuretools) (πŸ“₯ 62K Β· ⏱️ 18.08.2021): +- [Conda](https://anaconda.org/conda-forge/featuretools) (πŸ“₯ 71K Β· ⏱️ 16.11.2021): ``` conda install -c conda-forge featuretools ```
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AutoGluon (πŸ₯ˆ26 Β· ⭐ 3.5K) - AutoGluon: AutoML for Text, Image, and Tabular Data. Apache-2 +
auto-sklearn (πŸ₯ˆ28 Β· ⭐ 5.9K) - Automated Machine Learning with scikit-learn. BSD-3 -- [GitHub](https://github.com/awslabs/autogluon) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 460 Β· πŸ“¦ 62 Β· πŸ“‹ 530 - 20% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 1.1K Β· πŸ“¦ 220 Β· πŸ“‹ 820 - 14% open Β· ⏱️ 09.11.2021): ``` - git clone https://github.com/awslabs/autogluon + git clone https://github.com/automl/auto-sklearn ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 17K / month Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 32K / month Β· πŸ“¦ 30 Β· ⏱️ 10.11.2021): ``` - pip install autogluon + pip install auto-sklearn ```
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nevergrad (πŸ₯ˆ26 Β· ⭐ 3.1K) - A Python toolbox for performing gradient-free optimization. MIT +
AutoGluon (πŸ₯ˆ26 Β· ⭐ 3.8K) - AutoGluon: AutoML for Text, Image, and Tabular Data. Apache-2 -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 290 Β· πŸ“¦ 210 Β· πŸ“‹ 240 - 41% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/awslabs/autogluon) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 500 Β· πŸ“¦ 78 Β· πŸ“‹ 560 - 23% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/facebookresearch/nevergrad - ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 33K / month Β· πŸ“¦ 14 Β· ⏱️ 23.08.2021): - ``` - pip install nevergrad + git clone https://github.com/awslabs/autogluon ``` -- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 13K Β· ⏱️ 14.06.2021): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 20K / month Β· ⏱️ 17.11.2021): ``` - conda install -c conda-forge nevergrad + pip install autogluon ```
Ax (πŸ₯ˆ26 Β· ⭐ 1.6K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 170 Β· πŸ“¦ 190 Β· πŸ“‹ 290 - 12% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 220 Β· πŸ“‹ 310 - 10% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 63K / month Β· πŸ“¦ 4 Β· ⏱️ 11.08.2021): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 130K / month Β· πŸ“¦ 4 Β· ⏱️ 15.09.2021): ``` pip install ax-platform ```
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SMAC3 (πŸ₯ˆ26 Β· ⭐ 600) - Sequential Model-based Algorithm Configuration. BSD-3 +
SMAC3 (πŸ₯ˆ26 Β· ⭐ 630) - Sequential Model-based Algorithm Configuration. BSD-3 -- [GitHub](https://github.com/automl/SMAC3) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 170 Β· πŸ“‹ 330 - 19% open Β· ⏱️ 06.08.2021): +- [GitHub](https://github.com/automl/SMAC3) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 170 Β· πŸ“‹ 350 - 19% open Β· ⏱️ 05.11.2021): ``` git clone https://github.com/automl/SMAC3 ``` -- [PyPi](https://pypi.org/project/smac) (πŸ“₯ 27K / month Β· πŸ“¦ 58 Β· ⏱️ 06.08.2021): +- [PyPi](https://pypi.org/project/smac) (πŸ“₯ 34K / month Β· πŸ“¦ 58 Β· ⏱️ 05.11.2021): ``` pip install smac ```
+
BoTorch (πŸ₯ˆ25 Β· ⭐ 2.1K) - Bayesian optimization in PyTorch. MIT + +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 230 Β· πŸ“¦ 180 Β· πŸ“‹ 230 - 26% open Β· ⏱️ 13.11.2021): + + ``` + git clone https://github.com/pytorch/botorch + ``` +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 150K / month Β· ⏱️ 02.09.2021): + ``` + pip install botorch + ``` +
Hyperas (πŸ₯ˆ25 Β· ⭐ 2.1K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT -- [GitHub](https://github.com/maxpumperla/hyperas) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 300 Β· πŸ“¦ 210 Β· πŸ“‹ 250 - 35% open Β· ⏱️ 22.12.2020): +- [GitHub](https://github.com/maxpumperla/hyperas) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 300 Β· πŸ“¦ 220 Β· πŸ“‹ 250 - 35% open Β· ⏱️ 22.12.2020): ``` git clone https://github.com/maxpumperla/hyperas ``` -- [PyPi](https://pypi.org/project/hyperas) (πŸ“₯ 27K / month Β· πŸ“¦ 42 Β· ⏱️ 28.02.2019): +- [PyPi](https://pypi.org/project/hyperas) (πŸ“₯ 24K / month Β· πŸ“¦ 42 Β· ⏱️ 28.02.2019): ``` pip install hyperas ```
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BoTorch (πŸ₯ˆ25 Β· ⭐ 2K) - Bayesian optimization in PyTorch. MIT +
mljar-supervised (πŸ₯ˆ25 Β· ⭐ 1.7K) - Automated Machine Learning Pipeline with Feature Engineering.. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 210 Β· πŸ“¦ 150 Β· πŸ“‹ 200 - 21% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 230 Β· πŸ“¦ 25 Β· πŸ“‹ 440 - 14% open Β· ⏱️ 29.10.2021): ``` - git clone https://github.com/pytorch/botorch + git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 71K / month Β· ⏱️ 29.06.2021): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 130K / month Β· ⏱️ 01.10.2021): ``` - pip install botorch + pip install mljar-supervised ```
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mljar-supervised (πŸ₯ˆ25 Β· ⭐ 1.5K) - Automated Machine Learning Pipeline with Feature Engineering.. MIT +
nevergrad (πŸ₯ˆ24 Β· ⭐ 3.2K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 200 Β· πŸ“¦ 15 Β· πŸ“‹ 420 - 14% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 300 Β· πŸ“¦ 260 Β· πŸ“‹ 240 - 40% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/mljar/mljar-supervised + git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 110K / month Β· ⏱️ 08.06.2021): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 48K / month Β· πŸ“¦ 14 Β· ⏱️ 10.11.2021): ``` - pip install mljar-supervised + pip install nevergrad + ``` +- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 18K Β· ⏱️ 14.06.2021): + ``` + conda install -c conda-forge nevergrad ```
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GPyOpt (πŸ₯ˆ24 Β· ⭐ 760 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 +
GPyOpt (πŸ₯ˆ24 Β· ⭐ 770 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 -- [GitHub](https://github.com/SheffieldML/GPyOpt) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 230 Β· πŸ“¦ 210 Β· πŸ“‹ 290 - 34% open Β· ⏱️ 05.11.2020): +- [GitHub](https://github.com/SheffieldML/GPyOpt) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 230 Β· πŸ“¦ 230 Β· πŸ“‹ 280 - 34% open Β· ⏱️ 05.11.2020): ``` git clone https://github.com/SheffieldML/GPyOpt ``` -- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 18K / month Β· πŸ“¦ 36 Β· ⏱️ 19.03.2020): +- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 15K / month Β· πŸ“¦ 36 Β· ⏱️ 19.03.2020): ``` pip install gpyopt ```
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Talos (πŸ₯‰21 Β· ⭐ 1.4K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT +
AdaNet (πŸ₯‰23 Β· ⭐ 3.3K) - Fast and flexible AutoML with learning guarantees. Apache-2 + +- [GitHub](https://github.com/tensorflow/adanet) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 520 Β· πŸ“¦ 41 Β· πŸ“‹ 110 - 58% open Β· ⏱️ 30.08.2021): + + ``` + git clone https://github.com/tensorflow/adanet + ``` +- [PyPi](https://pypi.org/project/adanet) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 09.07.2020): + ``` + pip install adanet + ``` +
+
Hyperactive (πŸ₯‰22 Β· ⭐ 310) - An optimization and data collection toolbox for convenient and fast.. MIT + +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 30 Β· πŸ“₯ 97 Β· πŸ“¦ 10 Β· πŸ“‹ 35 - 20% open Β· ⏱️ 13.11.2021): + + ``` + git clone https://github.com/SimonBlanke/Hyperactive + ``` +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.1K / month Β· ⏱️ 02.10.2021): + ``` + pip install hyperactive + ``` +
+
Talos (πŸ₯‰21 Β· ⭐ 1.5K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT -- [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 390 - 9% open Β· ⏱️ 27.05.2021): +- [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 390 - 8% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.6K / month Β· πŸ“¦ 6 Β· ⏱️ 09.11.2020): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.4K / month Β· πŸ“¦ 6 Β· ⏱️ 09.11.2020): ``` pip install talos ```
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sklearn-deap (πŸ₯‰21 Β· ⭐ 650) - Use evolutionary algorithms instead of gridsearch in scikit-.. MIT +
Neuraxle (πŸ₯‰21 Β· ⭐ 480) - A Sklearn-like Framework for Hyperparameter Tuning and AutoML in.. Apache-2 + +- [GitHub](https://github.com/Neuraxio/Neuraxle) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 51 Β· πŸ“¦ 24 Β· πŸ“‹ 320 - 44% open Β· ⏱️ 01.11.2021): + + ``` + git clone https://github.com/Neuraxio/Neuraxle + ``` +- [PyPi](https://pypi.org/project/neuraxle) (πŸ“₯ 330 / month Β· ⏱️ 17.10.2021): + ``` + pip install neuraxle + ``` +
+
sklearn-deap (πŸ₯‰20 Β· ⭐ 660) - Use evolutionary algorithms instead of gridsearch in scikit-.. MIT -- [GitHub](https://github.com/rsteca/sklearn-deap) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 110 Β· πŸ“¦ 25 Β· πŸ“‹ 54 - 38% open Β· ⏱️ 30.07.2021): +- [GitHub](https://github.com/rsteca/sklearn-deap) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 110 Β· πŸ“¦ 29 Β· πŸ“‹ 55 - 38% open Β· ⏱️ 30.07.2021): ``` git clone https://github.com/rsteca/sklearn-deap ``` -- [PyPi](https://pypi.org/project/sklearn-deap) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 30.07.2021): +- [PyPi](https://pypi.org/project/sklearn-deap) (πŸ“₯ 1.9K / month Β· πŸ“¦ 2 Β· ⏱️ 30.07.2021): ``` pip install sklearn-deap ```
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Neuraxle (πŸ₯‰21 Β· ⭐ 440) - A Sklearn-like Framework for Hyperparameter Tuning and AutoML in.. Apache-2 +
Auto ViML (πŸ₯‰19 Β· ⭐ 310) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 -- [GitHub](https://github.com/Neuraxio/Neuraxle) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 50 Β· πŸ“¦ 21 Β· πŸ“‹ 310 - 47% open Β· ⏱️ 26.07.2021): +- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 69 Β· πŸ“¦ 15 Β· πŸ“‹ 18 - 22% open Β· ⏱️ 25.07.2021): ``` - git clone https://github.com/Neuraxio/Neuraxle + git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/neuraxle) (πŸ“₯ 360 / month Β· ⏱️ 29.06.2021): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 1.7K / month Β· ⏱️ 25.07.2021): ``` - pip install neuraxle + pip install autoviml ```
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AlphaPy (πŸ₯‰16 Β· ⭐ 620) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 +
AlphaPy (πŸ₯‰18 Β· ⭐ 660) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 -- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 140 Β· πŸ“¦ 3 Β· πŸ“‹ 38 - 23% open Β· ⏱️ 08.02.2021): +- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 140 Β· πŸ“¦ 3 Β· πŸ“‹ 40 - 27% open Β· ⏱️ 23.10.2021): ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 150 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 620 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ```
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HyperparameterHunter (πŸ₯‰15 Β· ⭐ 660 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT +
HyperparameterHunter (πŸ₯‰15 Β· ⭐ 680 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT -- [GitHub](https://github.com/HunterMcGushion/hyperparameter_hunter) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 83 Β· πŸ“₯ 330 Β· πŸ“‹ 120 - 30% open Β· ⏱️ 20.01.2021): +- [GitHub](https://github.com/HunterMcGushion/hyperparameter_hunter) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 87 Β· πŸ“₯ 330 Β· πŸ“‹ 120 - 30% open Β· ⏱️ 20.01.2021): ``` git clone https://github.com/HunterMcGushion/hyperparameter_hunter ``` -- [PyPi](https://pypi.org/project/hyperparameter-hunter) (πŸ“₯ 100 / month Β· πŸ“¦ 2 Β· ⏱️ 06.08.2019): +- [PyPi](https://pypi.org/project/hyperparameter-hunter) (πŸ“₯ 130 / month Β· πŸ“¦ 2 Β· ⏱️ 06.08.2019): ``` pip install hyperparameter-hunter ```
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model_search (πŸ₯‰12 Β· ⭐ 3.1K) - AutoML algorithms for model architecture search at scale. Apache-2 +
model_search (πŸ₯‰11 Β· ⭐ 3.2K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 -- [GitHub](https://github.com/google/model_search) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 300 Β· πŸ“‹ 47 - 72% open Β· ⏱️ 17.03.2021): +- [GitHub](https://github.com/google/model_search) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 300 Β· πŸ“‹ 49 - 69% open Β· ⏱️ 17.03.2021): ``` git clone https://github.com/google/model_search ```
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Show 24 hidden projects... +
Show 21 hidden projects... -- TPOT (πŸ₯‡29 Β· ⭐ 8.2K Β· πŸ’€) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 +- TPOT (πŸ₯ˆ28 Β· ⭐ 8.3K Β· πŸ’€) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 - Orion (πŸ₯ˆ24 Β· ⭐ 200) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 -- AdaNet (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 -- MLBox (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause -- optunity (πŸ₯‰21 Β· ⭐ 370 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 -- Hyperactive (πŸ₯‰21 Β· ⭐ 290) - An optimization and data collection toolbox for convenient and fast.. MIT -- Auto ViML (πŸ₯‰21 Β· ⭐ 280) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 -- lazypredict (πŸ₯‰21 Β· ⭐ 160) - Lazy Predict help build a lot of basic models without much code.. MIT -- auto_ml (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT -- HpBandSter (πŸ₯‰20 Β· ⭐ 480 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 -- Test Tube (πŸ₯‰19 Β· ⭐ 690 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT -- Dragonfly (πŸ₯‰19 Β· ⭐ 590 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT -- Sherpa (πŸ₯‰18 Β· ⭐ 300 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 -- Advisor (πŸ₯‰17 Β· ⭐ 1.4K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 -- automl-gs (πŸ₯‰16 Β· ⭐ 1.7K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT +- lazypredict (πŸ₯‰23 Β· ⭐ 260) - Lazy Predict help build a lot of basic models without much code.. MIT +- MLBox (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause +- HpBandSter (πŸ₯‰21 Β· ⭐ 500 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 +- optunity (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 +- auto_ml (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT +- Test Tube (πŸ₯‰20 Β· ⭐ 700 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT +- Dragonfly (πŸ₯‰19 Β· ⭐ 600 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT +- Advisor (πŸ₯‰18 Β· ⭐ 1.4K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 +- Sherpa (πŸ₯‰18 Β· ⭐ 310 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 +- Auto Tune Models (πŸ₯‰17 Β· ⭐ 510 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT +- automl-gs (πŸ₯‰16 Β· ⭐ 1.8K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT - Xcessiv (πŸ₯‰16 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 -- Auto Tune Models (πŸ₯‰16 Β· ⭐ 510 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Parfit (πŸ₯‰16 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT -- Auptimizer (πŸ₯‰14 Β· ⭐ 170) - An automatic ML model optimization tool. ❗️GPL-3.0 -- Hypermax (πŸ₯‰14 Β· ⭐ 97 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 -- featurewiz (πŸ₯‰14 Β· ⭐ 72) - Use advanced feature engineering strategies and select the best.. Apache-2 +- featurewiz (πŸ₯‰16 Β· ⭐ 89) - Use advanced feature engineering strategies and select best.. Apache-2 +- Hypermax (πŸ₯‰14 Β· ⭐ 97 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 - ENAS (πŸ₯‰13 Β· ⭐ 2.5K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 -- Devol (πŸ₯‰11 Β· ⭐ 930 Β· πŸ’€) - Genetic neural architecture search with Keras. MIT +- Auptimizer (πŸ₯‰13 Β· ⭐ 180 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 +- Devol (πŸ₯‰11 Β· ⭐ 940 Β· πŸ’€) - Genetic neural architecture search with Keras. MIT - Hypertunity (πŸ₯‰11 Β· ⭐ 120 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2

@@ -5977,45 +5967,45 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc _Libraries for building and evaluating reinforcement learning & agent-based systems._ -
OpenAI Gym (πŸ₯‡36 Β· ⭐ 25K) - A toolkit for developing and comparing reinforcement learning.. MIT +
OpenAI Gym (πŸ₯‡36 Β· ⭐ 26K) - A toolkit for developing and comparing reinforcement learning.. MIT -- [GitHub](https://github.com/openai/gym) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 7.2K Β· πŸ“¦ 23K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/openai/gym) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 7.3K Β· πŸ“¦ 24K Β· πŸ“‹ 1.4K - 8% open Β· ⏱️ 14.11.2021): ``` git clone https://github.com/openai/gym ``` -- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 1.7M / month Β· πŸ“¦ 3.6K Β· ⏱️ 16.08.2021): +- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 1M / month Β· πŸ“¦ 3.6K Β· ⏱️ 06.10.2021): ``` pip install gym ```
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Dopamine (πŸ₯‡29 Β· ⭐ 9.5K) - Dopamine is a research framework for fast prototyping of.. Apache-2 +
Dopamine (πŸ₯‡29 Β· ⭐ 9.6K) - Dopamine is a research framework for fast prototyping of.. Apache-2 -- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 1.3K Β· πŸ“‹ 160 - 49% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 1.3K Β· πŸ“‹ 160 - 48% open Β· ⏱️ 09.11.2021): ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 1.4M / month Β· πŸ“¦ 62 Β· ⏱️ 29.06.2021): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 1.4M / month Β· πŸ“¦ 62 Β· ⏱️ 23.09.2021): ``` pip install dopamine-rl ```
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TF-Agents (πŸ₯‡28 Β· ⭐ 2K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 +
TF-Agents (πŸ₯‡29 Β· ⭐ 2.1K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 550 Β· πŸ“¦ 550 Β· πŸ“‹ 490 - 23% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 570 Β· πŸ“¦ 620 Β· πŸ“‹ 510 - 18% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 18K / month Β· πŸ“¦ 12 Β· ⏱️ 12.08.2021): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 70K / month Β· πŸ“¦ 12 Β· ⏱️ 15.11.2021): ``` pip install tf-agents ```
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TensorLayer (πŸ₯ˆ26 Β· ⭐ 6.7K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 +
TensorLayer (πŸ₯ˆ26 Β· ⭐ 6.8K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 -- [GitHub](https://github.com/tensorlayer/tensorlayer) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“₯ 1.3K Β· πŸ“‹ 450 - 4% open Β· ⏱️ 10.08.2021): +- [GitHub](https://github.com/tensorlayer/tensorlayer) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“₯ 1.3K Β· πŸ“‹ 460 - 4% open Β· ⏱️ 29.10.2021): ``` git clone https://github.com/tensorlayer/tensorlayer @@ -6025,153 +6015,153 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst pip install tensorlayer ```
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Stable Baselines (πŸ₯ˆ26 Β· ⭐ 3.2K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT +
TensorForce (πŸ₯ˆ26 Β· ⭐ 3.1K) - Tensorforce: a TensorFlow library for applied.. Apache-2 -- [GitHub](https://github.com/hill-a/stable-baselines) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 630 Β· πŸ“‹ 920 - 13% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 510 Β· πŸ“‹ 620 - 1% open Β· ⏱️ 10.11.2021): ``` - git clone https://github.com/hill-a/stable-baselines + git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/stable-baselines) (πŸ“₯ 8.9K / month Β· πŸ“¦ 50 Β· ⏱️ 06.04.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 1.1K / month Β· πŸ“¦ 46 Β· ⏱️ 07.09.2019): ``` - pip install stable-baselines + pip install tensorforce ```
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TensorForce (πŸ₯ˆ26 Β· ⭐ 3K) - Tensorforce: a TensorFlow library for applied reinforcement.. Apache-2 +
ViZDoom (πŸ₯ˆ26 Β· ⭐ 1.3K) - Doom-based AI Research Platform for Reinforcement Learning from Raw.. MIT -- [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 510 Β· πŸ“‹ 600 - 1% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/mwydmuch/ViZDoom) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 310 Β· πŸ“₯ 11K Β· πŸ“¦ 120 Β· πŸ“‹ 420 - 21% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/tensorforce/tensorforce + git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 1.5K / month Β· πŸ“¦ 46 Β· ⏱️ 07.09.2019): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 1K / month Β· πŸ“¦ 24 Β· ⏱️ 10.11.2021): ``` - pip install tensorforce + pip install vizdoom ```
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ViZDoom (πŸ₯ˆ25 Β· ⭐ 1.2K) - Doom-based AI Research Platform for Reinforcement Learning from Raw.. MIT +
Acme (πŸ₯ˆ25 Β· ⭐ 2.4K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/mwydmuch/ViZDoom) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 300 Β· πŸ“₯ 11K Β· πŸ“¦ 120 Β· πŸ“‹ 420 - 20% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/deepmind/acme) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 280 Β· πŸ“¦ 47 Β· πŸ“‹ 140 - 39% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/mwydmuch/ViZDoom + git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 1K / month Β· πŸ“¦ 24 Β· ⏱️ 29.10.2020): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 2.1K / month Β· ⏱️ 27.08.2021): ``` - pip install vizdoom + pip install dm-acme ```
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Acme (πŸ₯‰24 Β· ⭐ 2.3K) - A library of reinforcement learning components and agents. Apache-2 +
Stable Baselines (πŸ₯‰24 Β· ⭐ 3.3K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT -- [GitHub](https://github.com/deepmind/acme) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 260 Β· πŸ“¦ 40 Β· πŸ“‹ 130 - 41% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/hill-a/stable-baselines) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 650 Β· πŸ“‹ 920 - 13% open Β· ⏱️ 25.08.2021): ``` - git clone https://github.com/deepmind/acme + git clone https://github.com/hill-a/stable-baselines ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 4.2K / month Β· ⏱️ 26.05.2021): +- [PyPi](https://pypi.org/project/stable-baselines) (πŸ“₯ 10K / month Β· πŸ“¦ 50 Β· ⏱️ 06.04.2021): ``` - pip install dm-acme + pip install stable-baselines ```
garage (πŸ₯‰24 Β· ⭐ 1.3K) - A toolkit for reproducible reinforcement learning research. MIT -- [GitHub](https://github.com/rlworkgroup/garage) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 240 Β· πŸ“¦ 19 Β· πŸ“‹ 1K - 20% open Β· ⏱️ 22.06.2021): +- [GitHub](https://github.com/rlworkgroup/garage) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 240 Β· πŸ“¦ 21 Β· πŸ“‹ 1K - 20% open Β· ⏱️ 20.10.2021): ``` git clone https://github.com/rlworkgroup/garage ``` -- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 320 / month Β· ⏱️ 23.03.2021): +- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 1.5K / month Β· ⏱️ 23.03.2021): ``` pip install garage ```
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TRFL (πŸ₯‰23 Β· ⭐ 3.1K) - TensorFlow Reinforcement Learning. Apache-2 +
FinRL (πŸ₯‰23 Β· ⭐ 2.8K) - Deep Reinforcement Learning Framework to Automate Trading in Quantitative.. MIT -- [GitHub](https://github.com/deepmind/trfl) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 370 Β· πŸ“¦ 58 Β· πŸ“‹ 22 - 27% open Β· ⏱️ 16.08.2021): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 760 Β· πŸ“¦ 7 Β· πŸ“‹ 210 - 35% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/deepmind/trfl + git clone https://github.com/AI4Finance-LLC/FinRL ``` -- [PyPi](https://pypi.org/project/trfl) (πŸ“₯ 4.3K / month Β· πŸ“¦ 4 Β· ⏱️ 16.08.2021): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 270 / month Β· ⏱️ 05.09.2021): ``` - pip install trfl + pip install finrl ```
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ChainerRL (πŸ₯‰23 Β· ⭐ 980) - ChainerRL is a deep reinforcement learning library built on top of.. MIT +
TRFL (πŸ₯‰22 Β· ⭐ 3.1K) - TensorFlow Reinforcement Learning. Apache-2 -- [GitHub](https://github.com/chainer/chainerrl) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 100 Β· πŸ“‹ 220 - 33% open Β· ⏱️ 17.04.2021): +- [GitHub](https://github.com/deepmind/trfl) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 370 Β· πŸ“¦ 68 Β· πŸ“‹ 22 - 27% open Β· ⏱️ 16.08.2021): ``` - git clone https://github.com/chainer/chainerrl + git clone https://github.com/deepmind/trfl ``` -- [PyPi](https://pypi.org/project/chainerrl) (πŸ“₯ 400 / month Β· πŸ“¦ 14 Β· ⏱️ 14.02.2020): +- [PyPi](https://pypi.org/project/trfl) (πŸ“₯ 2.2K / month Β· πŸ“¦ 4 Β· ⏱️ 16.08.2021): ``` - pip install chainerrl + pip install trfl ```
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FinRL (πŸ₯‰21 Β· ⭐ 2.5K) - A Deep Reinforcement Learning Framework for Automated Trading in.. MIT +
ChainerRL (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT -- [GitHub](https://github.com/AI4Finance-LLC/FinRL) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 640 Β· πŸ“¦ 7 Β· πŸ“‹ 170 - 36% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/chainer/chainerrl) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 110 Β· πŸ“‹ 220 - 33% open Β· ⏱️ 17.04.2021): ``` - git clone https://github.com/AI4Finance-LLC/FinRL + git clone https://github.com/chainer/chainerrl ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 270 / month Β· ⏱️ 28.02.2021): +- [PyPi](https://pypi.org/project/chainerrl) (πŸ“₯ 500 / month Β· πŸ“¦ 14 Β· ⏱️ 14.02.2020): ``` - pip install finrl + pip install chainerrl ```
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PARL (πŸ₯‰21 Β· ⭐ 2.2K) - A high-performance distributed training framework for Reinforcement.. Apache-2 +
PARL (πŸ₯‰21 Β· ⭐ 2.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 520 Β· πŸ“¦ 78 Β· πŸ“‹ 250 - 21% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 580 Β· πŸ“¦ 81 Β· πŸ“‹ 270 - 20% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 840 / month Β· ⏱️ 08.07.2021): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 700 / month Β· ⏱️ 08.07.2021): ``` pip install parl ```
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Coach (πŸ₯‰20 Β· ⭐ 2K) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 +
PFRL (πŸ₯‰21 Β· ⭐ 740) - PFRL: a PyTorch-based deep reinforcement learning library. MIT -- [GitHub](https://github.com/IntelLabs/coach) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 400 Β· πŸ“‹ 270 - 31% open Β· ⏱️ 28.06.2021): +- [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 97 Β· πŸ“¦ 27 Β· πŸ“‹ 60 - 45% open Β· ⏱️ 07.09.2021): ``` - git clone https://github.com/IntelLabs/coach + git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 220 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 2.6K / month Β· ⏱️ 07.07.2021): ``` - pip install rl_coach + pip install pfrl ```
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PFRL (πŸ₯‰20 Β· ⭐ 690) - PFRL: a PyTorch-based deep reinforcement learning library. MIT +
RLax (πŸ₯‰20 Β· ⭐ 700) - A library of reinforcement learning building blocks in JAX. Apache-2 jax -- [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 87 Β· πŸ“¦ 22 Β· πŸ“‹ 52 - 42% open Β· ⏱️ 07.07.2021): +- [GitHub](https://github.com/deepmind/rlax) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 54 Β· πŸ“¦ 31 Β· πŸ“‹ 19 - 57% open Β· ⏱️ 05.11.2021): ``` - git clone https://github.com/pfnet/pfrl + git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 560 / month Β· ⏱️ 07.07.2021): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 2.1K / month Β· ⏱️ 19.02.2020): ``` - pip install pfrl + pip install rlax ```
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RLax (πŸ₯‰20 Β· ⭐ 660) - A library of reinforcement learning building blocks in JAX. Apache-2 jax +
Coach (πŸ₯‰19 Β· ⭐ 2.1K) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 -- [GitHub](https://github.com/deepmind/rlax) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 49 Β· πŸ“¦ 23 Β· πŸ“‹ 13 - 53% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/IntelLabs/coach) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 410 Β· πŸ“‹ 270 - 32% open Β· ⏱️ 28.06.2021): ``` - git clone https://github.com/deepmind/rlax + git clone https://github.com/IntelLabs/coach ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 1.2K / month Β· ⏱️ 19.02.2020): +- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 190 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): ``` - pip install rlax + pip install rl_coach ```
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ReAgent (πŸ₯‰17 Β· ⭐ 3K) - A platform for Reasoning systems (Reinforcement Learning, Contextual.. BSD-3 +
ReAgent (πŸ₯‰17 Β· ⭐ 3.1K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 -- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 430 Β· πŸ“‹ 120 - 35% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 430 Β· πŸ“‹ 120 - 35% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/facebookresearch/ReAgent @@ -6181,8 +6171,8 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst - baselines (πŸ₯ˆ27 Β· ⭐ 12K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - keras-rl (πŸ₯ˆ25 Β· ⭐ 5.1K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT -- DeepMind Lab (πŸ₯‰16 Β· ⭐ 6.5K) - A customisable 3D platform for agent-based AI research. ❗️GPL-2.0 -- Maze (πŸ₯‰14 Β· ⭐ 170 Β· 🐣) - Maze Applied Reinforcement Learning Framework. ❗️Custom +- DeepMind Lab (πŸ₯‰16 Β· ⭐ 6.6K) - A customisable 3D platform for agent-based AI research. ❗️GPL-2.0 +- Maze (πŸ₯‰13 Β· ⭐ 200) - Maze Applied Reinforcement Learning Framework. ❗️Custom

@@ -6192,149 +6182,145 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst _Libraries for building and evaluating recommendation systems._ -
scikit-surprise (πŸ₯‡27 Β· ⭐ 5K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 +
lightfm (πŸ₯‡26 Β· ⭐ 3.8K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 -- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 870 Β· πŸ“¦ 1.2K Β· πŸ“‹ 340 - 14% open Β· ⏱️ 05.08.2020): +- [GitHub](https://github.com/lyst/lightfm) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 610 Β· πŸ“¦ 580 Β· πŸ“‹ 430 - 20% open Β· ⏱️ 07.02.2021): ``` - git clone https://github.com/NicolasHug/Surprise + git clone https://github.com/lyst/lightfm ``` -- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 64K / month Β· πŸ“¦ 48 Β· ⏱️ 19.07.2020): +- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 230K / month Β· πŸ“¦ 56 Β· ⏱️ 27.11.2020): ``` - pip install scikit-surprise + pip install lightfm ``` -- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (πŸ“₯ 190K Β· ⏱️ 13.10.2020): +- [Conda](https://anaconda.org/conda-forge/lightfm) (πŸ“₯ 110K Β· ⏱️ 07.02.2021): ``` - conda install -c conda-forge scikit-surprise + conda install -c conda-forge lightfm ```
implicit (πŸ₯‡26 Β· ⭐ 2.5K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT -- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 490 Β· πŸ“¦ 460 Β· πŸ“‹ 350 - 23% open Β· ⏱️ 08.05.2021): +- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 510 Β· πŸ“¦ 500 Β· πŸ“‹ 370 - 24% open Β· ⏱️ 02.10.2021): ``` git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 160K / month Β· πŸ“¦ 44 Β· ⏱️ 15.09.2020): +- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 110K / month Β· πŸ“¦ 44 Β· ⏱️ 29.08.2021): ``` pip install implicit ``` -- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 290K Β· ⏱️ 24.11.2020): +- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 310K Β· ⏱️ 29.08.2021): ``` conda install -c conda-forge implicit ```
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lightfm (πŸ₯ˆ25 Β· ⭐ 3.7K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2 +
Cornac (πŸ₯ˆ24 Β· ⭐ 460) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/lyst/lightfm) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 600 Β· πŸ“¦ 540 Β· πŸ“‹ 430 - 19% open Β· ⏱️ 07.02.2021): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 77 Β· πŸ“¦ 68 Β· πŸ“‹ 70 - 5% open Β· ⏱️ 30.09.2021): ``` - git clone https://github.com/lyst/lightfm + git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 240K / month Β· πŸ“¦ 56 Β· ⏱️ 27.11.2020): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 6.6K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2021): ``` - pip install lightfm + pip install cornac ``` -- [Conda](https://anaconda.org/conda-forge/lightfm) (πŸ“₯ 100K Β· ⏱️ 07.02.2021): +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 190K Β· ⏱️ 15.11.2021): ``` - conda install -c conda-forge lightfm + conda install -c conda-forge cornac ```
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Cornac (πŸ₯ˆ24 Β· ⭐ 400) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 +
TF Ranking (πŸ₯ˆ23 Β· ⭐ 2.3K) - Learning to Rank in TensorFlow. Apache-2 -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 74 Β· πŸ“¦ 57 Β· πŸ“‹ 59 - 6% open Β· ⏱️ 13.08.2021): +- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 410 Β· πŸ“‹ 270 - 15% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/PreferredAI/cornac - ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 5.5K / month Β· πŸ“¦ 2 Β· ⏱️ 13.07.2021): - ``` - pip install cornac + git clone https://github.com/tensorflow/ranking ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 170K Β· ⏱️ 13.07.2021): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 38K / month Β· πŸ“¦ 2 Β· ⏱️ 16.11.2021): ``` - conda install -c conda-forge cornac + pip install tensorflow_ranking ```
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TF Ranking (πŸ₯ˆ22 Β· ⭐ 2.2K) - Learning to Rank in TensorFlow. Apache-2 +
TF Recommenders (πŸ₯ˆ23 Β· ⭐ 1.1K) - TensorFlow Recommenders is a library for building.. Apache-2 -- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 390 Β· πŸ“‹ 260 - 12% open Β· ⏱️ 22.07.2021): +- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 140 Β· πŸ“¦ 58 Β· πŸ“‹ 200 - 52% open Β· ⏱️ 27.10.2021): ``` - git clone https://github.com/tensorflow/ranking + git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 27K / month Β· πŸ“¦ 2 Β· ⏱️ 22.07.2021): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 200K / month Β· ⏱️ 23.08.2021): ``` - pip install tensorflow_ranking + pip install tensorflow-recommenders ```
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RecBole (πŸ₯ˆ22 Β· ⭐ 1.2K) - A unified, comprehensive and efficient recommendation library. MIT +
RecBole (πŸ₯‰22 Β· ⭐ 1.4K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 190 Β· πŸ“‹ 170 - 22% open Β· ⏱️ 11.07.2021): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 230 Β· πŸ“‹ 230 - 17% open Β· ⏱️ 10.11.2021): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 440 / month Β· ⏱️ 22.03.2021): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 560 / month Β· ⏱️ 16.09.2021): ``` pip install recbole ``` -- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 620 Β· ⏱️ 22.03.2021): +- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 830 Β· ⏱️ 16.09.2021): ``` conda install -c aibox recbole ```
-
TF Recommenders (πŸ₯‰21 Β· ⭐ 970) - TensorFlow Recommenders is a library for building.. Apache-2 +
fastFM (πŸ₯‰22 Β· ⭐ 950 Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 -- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 130 Β· πŸ“¦ 37 Β· πŸ“‹ 180 - 53% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/ibayer/fastFM) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 190 Β· πŸ“₯ 400 Β· πŸ“¦ 89 Β· πŸ“‹ 110 - 43% open Β· ⏱️ 24.03.2021): ``` - git clone https://github.com/tensorflow/recommenders + git clone https://github.com/ibayer/fastFM ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 48K / month Β· ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/fastfm) (πŸ“₯ 1.1K / month Β· πŸ“¦ 8 Β· ⏱️ 23.11.2017): ``` - pip install tensorflow-recommenders + pip install fastfm ```
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fastFM (πŸ₯‰20 Β· ⭐ 930) - fastFM: A Library for Factorization Machines. BSD-3 +
recmetrics (πŸ₯‰20 Β· ⭐ 310) - A library of metrics for evaluating recommender systems. MIT -- [GitHub](https://github.com/ibayer/fastFM) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 190 Β· πŸ“₯ 400 Β· πŸ“¦ 85 Β· πŸ“‹ 100 - 42% open Β· ⏱️ 24.03.2021): +- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 74 Β· πŸ“¦ 20 Β· πŸ“‹ 16 - 37% open Β· ⏱️ 27.10.2021): ``` - git clone https://github.com/ibayer/fastFM + git clone https://github.com/statisticianinstilettos/recmetrics ``` -- [PyPi](https://pypi.org/project/fastfm) (πŸ“₯ 890 / month Β· πŸ“¦ 8 Β· ⏱️ 23.11.2017): +- [PyPi](https://pypi.org/project/recmetrics) (πŸ“₯ 900 / month Β· ⏱️ 24.09.2021): ``` - pip install fastfm + pip install recmetrics ```
-
Recommenders (πŸ₯‰19 Β· ⭐ 11K) - Best Practices on Recommendation Systems. MIT +
Recommenders (πŸ₯‰19 Β· ⭐ 12K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/microsoft/recommenders) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.9K Β· πŸ“₯ 32 Β· πŸ“¦ 1 Β· πŸ“‹ 610 - 24% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/microsoft/recommenders) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 2K Β· πŸ“₯ 67 Β· πŸ“¦ 5 Β· πŸ“‹ 640 - 24% open Β· ⏱️ 23.09.2021): ``` git clone https://github.com/microsoft/recommenders ```
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Case Recommender (πŸ₯‰17 Β· ⭐ 350) - Case Recommender: A Flexible and Extensible Python.. MIT +
Case Recommender (πŸ₯‰17 Β· ⭐ 370) - Case Recommender: A Flexible and Extensible Python.. MIT -- [GitHub](https://github.com/caserec/CaseRecommender) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 75 Β· πŸ“¦ 9 Β· πŸ“‹ 24 - 29% open Β· ⏱️ 17.06.2021): +- [GitHub](https://github.com/caserec/CaseRecommender) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 76 Β· πŸ“¦ 9 Β· πŸ“‹ 24 - 29% open Β· ⏱️ 17.06.2021): ``` git clone https://github.com/caserec/CaseRecommender ``` -- [PyPi](https://pypi.org/project/caserecommender) (πŸ“₯ 140 / month Β· ⏱️ 20.08.2019): +- [PyPi](https://pypi.org/project/caserecommender) (πŸ“₯ 520 / month Β· ⏱️ 20.08.2019): ``` pip install caserecommender ```
Show 5 hidden projects... +- scikit-surprise (πŸ₯ˆ25 Β· ⭐ 5.1K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 - tensorrec (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 -- recmetrics (πŸ₯‰18 Β· ⭐ 290 Β· πŸ’€) - A library of metrics for evaluating recommender systems. MIT - Spotlight (πŸ₯‰17 Β· ⭐ 2.6K Β· πŸ’€) - Deep recommender models using PyTorch. MIT - lkpy (πŸ₯‰17 Β· ⭐ 180) - Python recommendation toolkit. MIT -- OpenRec (πŸ₯‰16 Β· ⭐ 380 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 +- OpenRec (πŸ₯‰16 Β· ⭐ 390 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2

@@ -6344,74 +6330,66 @@ _Libraries for building and evaluating recommendation systems._ _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._ -
PySyft (πŸ₯‡27 Β· ⭐ 7.5K) - A library for answering questions using data you cannot see. Apache-2 +
PySyft (πŸ₯‡27 Β· ⭐ 7.7K) - A library for answering questions using data you cannot see. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 1.7K Β· πŸ“‹ 3K - 8% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 1.7K Β· πŸ“‹ 3K - 9% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 2.5K / month Β· πŸ“¦ 6 Β· ⏱️ 28.06.2021): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 3.5K / month Β· πŸ“¦ 6 Β· ⏱️ 17.11.2021): ``` pip install syft ```
-
Opacus (πŸ₯ˆ24 Β· ⭐ 870) - Training PyTorch models with differential privacy. Apache-2 - -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 130 Β· πŸ“₯ 40 Β· πŸ“¦ 45 Β· πŸ“‹ 93 - 16% open Β· ⏱️ 12.08.2021): - - ``` - git clone https://github.com/pytorch/opacus - ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 8.2K / month Β· ⏱️ 23.06.2021): - ``` - pip install opacus - ``` -
TensorFlow Privacy (πŸ₯ˆ23 Β· ⭐ 1.5K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 320 Β· πŸ“₯ 46 Β· πŸ“‹ 140 - 43% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 320 Β· πŸ“₯ 59 Β· πŸ“‹ 140 - 42% open Β· ⏱️ 11.11.2021): ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 15K / month Β· πŸ“¦ 2 Β· ⏱️ 20.08.2021): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 20K / month Β· πŸ“¦ 2 Β· ⏱️ 01.09.2021): ``` pip install tensorflow-privacy ```
-
TFEncrypted (πŸ₯‰21 Β· ⭐ 920 Β· πŸ’€) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 +
Opacus (πŸ₯ˆ21 Β· ⭐ 940) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 160 Β· πŸ“¦ 54 Β· πŸ“‹ 400 - 42% open Β· ⏱️ 19.08.2020): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 150 Β· πŸ“₯ 40 Β· πŸ“¦ 60 Β· πŸ“‹ 100 - 16% open Β· ⏱️ 09.11.2021): ``` - git clone https://github.com/tf-encrypted/tf-encrypted + git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 890 / month Β· πŸ“¦ 16 Β· ⏱️ 21.10.2019): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 4.5K / month Β· ⏱️ 23.06.2021): ``` - pip install tf-encrypted + pip install opacus ```
-
FATE (πŸ₯‰20 Β· ⭐ 3.4K) - An Industrial Grade Federated Learning Framework. Apache-2 +
FATE (πŸ₯‰20 Β· ⭐ 3.7K) - An Industrial Grade Federated Learning Framework. Apache-2 -- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 970 Β· πŸ“‹ 940 - 34% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 1.1K Β· πŸ“‹ 980 - 35% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/FederatedAI/FATE ```
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CrypTen (πŸ₯‰18 Β· ⭐ 880) - A framework for Privacy Preserving Machine Learning. MIT +
CrypTen (πŸ₯‰20 Β· ⭐ 950) - A framework for Privacy Preserving Machine Learning. MIT -- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 130 Β· πŸ“¦ 11 Β· πŸ“‹ 93 - 29% open Β· ⏱️ 12.08.2021): +- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“¦ 12 Β· πŸ“‹ 120 - 26% open Β· ⏱️ 29.10.2021): ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 180 / month Β· ⏱️ 05.02.2020): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 440 / month Β· ⏱️ 09.09.2021): ``` pip install crypten ```
+
Show 1 hidden projects... + +- TFEncrypted (πŸ₯ˆ21 Β· ⭐ 950 Β· πŸ’€) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 +

## Workflow & Experiment Tracking @@ -6420,182 +6398,170 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l _Libraries to organize, track, and visualize machine learning experiments._ -
Tensorboard (πŸ₯‡37 Β· ⭐ 5.6K) - TensorFlow's Visualization Toolkit. Apache-2 +
Tensorboard (πŸ₯‡37 Β· ⭐ 5.7K) - TensorFlow's Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1.4K Β· πŸ“¦ 76K Β· πŸ“‹ 1.6K - 35% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1.4K Β· πŸ“¦ 85K Β· πŸ“‹ 1.6K - 34% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/tensorflow/tensorboard ``` -- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 10M / month Β· πŸ“¦ 3.6K Β· ⏱️ 06.08.2021): +- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 11M / month Β· πŸ“¦ 3.6K Β· ⏱️ 13.10.2021): ``` pip install tensorboard ``` -- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 2.3M Β· ⏱️ 23.08.2021): +- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 2.7M Β· ⏱️ 10.11.2021): ``` conda install -c conda-forge tensorboard ```
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mlflow (πŸ₯‡33 Β· ⭐ 10K) - Open source platform for the machine learning lifecycle. Apache-2 +
mlflow (πŸ₯‡33 Β· ⭐ 11K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.2K Β· πŸ“‹ 2K - 43% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 2.4K Β· πŸ“‹ 2.1K - 44% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 12M / month Β· πŸ“¦ 150 Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 16M / month Β· πŸ“¦ 150 Β· ⏱️ 25.10.2021): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 380K Β· ⏱️ 14.07.2021): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 440K Β· ⏱️ 12.11.2021): ``` conda install -c conda-forge mlflow ```
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DVC (πŸ₯‡33 Β· ⭐ 8.5K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2 +
SageMaker SDK (πŸ₯‡32 Β· ⭐ 1.5K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 800 Β· πŸ“₯ 34K Β· πŸ“¦ 1.5K Β· πŸ“‹ 3.2K - 17% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 700 Β· πŸ“¦ 930 Β· πŸ“‹ 940 - 32% open Β· ⏱️ 12.11.2021): ``` - git clone https://github.com/iterative/dvc - ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 1.2M / month Β· πŸ“¦ 46 Β· ⏱️ 20.08.2021): - ``` - pip install dvc + git clone https://github.com/aws/sagemaker-python-sdk ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 840K Β· ⏱️ 09.07.2021): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 1.8M / month Β· πŸ“¦ 28 Β· ⏱️ 12.11.2021): ``` - conda install -c conda-forge dvc + pip install sagemaker ```
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wandb client (πŸ₯‡32 Β· ⭐ 3.2K) - A tool for visualizing and tracking your machine learning.. MIT +
DVC (πŸ₯‡30 Β· ⭐ 8.9K Β· πŸ“‰) - Data Version Control | Git for Data & Models | ML Experiments.. Apache-2 -- [GitHub](https://github.com/wandb/client) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 240 Β· πŸ“¦ 4.2K Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 850 Β· πŸ“₯ 44K Β· πŸ“‹ 3.4K - 16% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/wandb/client - ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 450K / month Β· πŸ“¦ 78 Β· ⏱️ 10.08.2021): - ``` - pip install wandb + git clone https://github.com/iterative/dvc ``` -
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SageMaker SDK (πŸ₯‡32 Β· ⭐ 1.5K Β· πŸ“ˆ) - A library for training and deploying machine learning.. Apache-2 - -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 660 Β· πŸ“¦ 830 Β· πŸ“‹ 870 - 29% open Β· ⏱️ 25.08.2021): - +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 360K / month Β· πŸ“¦ 46 Β· ⏱️ 08.11.2021): ``` - git clone https://github.com/aws/sagemaker-python-sdk + pip install dvc ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 960K / month Β· πŸ“¦ 28 Β· ⏱️ 25.08.2021): +- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 920K Β· ⏱️ 09.11.2021): ``` - pip install sagemaker + conda install -c conda-forge dvc ```
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tensorboardX (πŸ₯ˆ30 Β· ⭐ 7.1K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT +
tensorboardX (πŸ₯‡30 Β· ⭐ 7.2K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 820 Β· πŸ“₯ 340 Β· πŸ“¦ 14K Β· πŸ“‹ 430 - 15% open Β· ⏱️ 09.07.2021): +- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 820 Β· πŸ“₯ 340 Β· πŸ“¦ 15K Β· πŸ“‹ 430 - 15% open Β· ⏱️ 12.09.2021): ``` git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 1.7M / month Β· πŸ“¦ 1.3K Β· ⏱️ 30.06.2021): +- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 750K / month Β· πŸ“¦ 1.3K Β· ⏱️ 30.06.2021): ``` pip install tensorboardX ``` -- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 470K Β· ⏱️ 10.08.2021): +- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 610K Β· ⏱️ 10.08.2021): ``` conda install -c conda-forge tensorboardx ```
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PyCaret (πŸ₯ˆ30 Β· ⭐ 3.9K) - An open-source, low-code machine learning library in Python. MIT +
PyCaret (πŸ₯‡30 Β· ⭐ 4.3K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 870 Β· πŸ“₯ 440 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1K - 15% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 990 Β· πŸ“₯ 480 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.2K - 16% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 130K / month Β· ⏱️ 25.07.2021): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 290K / month Β· ⏱️ 23.09.2021): ``` pip install pycaret ```
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AzureML SDK (πŸ₯ˆ30 Β· ⭐ 2.6K) - Python notebooks with ML and deep learning examples with Azure.. MIT +
AzureML SDK (πŸ₯‡30 Β· ⭐ 2.8K) - Python notebooks with ML and deep learning examples with Azure.. MIT -- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 1.8K Β· πŸ“₯ 430 Β· πŸ“‹ 1.2K - 14% open Β· ⏱️ 20.08.2021): +- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 2K Β· πŸ“₯ 430 Β· πŸ“‹ 1.2K - 16% open Β· ⏱️ 08.11.2021): ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 780K / month Β· πŸ“¦ 60 Β· ⏱️ 25.08.2021): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 2.2M / month Β· πŸ“¦ 60 Β· ⏱️ 08.11.2021): ``` pip install azureml-sdk ```
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kaggle (πŸ₯ˆ29 Β· ⭐ 4.3K) - Official Kaggle API. Apache-2 +
wandb client (πŸ₯ˆ29 Β· ⭐ 3.5K Β· πŸ“‰) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 830 Β· πŸ“¦ 6.4K Β· πŸ“‹ 310 - 57% open Β· ⏱️ 15.03.2021): +- [GitHub](https://github.com/wandb/client) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 270 Β· πŸ“‹ 1.5K - 30% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/Kaggle/kaggle-api - ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 270K / month Β· πŸ“¦ 560 Β· ⏱️ 13.03.2021): - ``` - pip install kaggle + git clone https://github.com/wandb/client ``` -- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 68K Β· ⏱️ 16.03.2021): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 520K / month Β· πŸ“¦ 78 Β· ⏱️ 27.10.2021): ``` - conda install -c conda-forge kaggle + pip install wandb ```
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sacred (πŸ₯ˆ28 Β· ⭐ 3.6K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT +
sacred (πŸ₯ˆ28 Β· ⭐ 3.7K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT -- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 320 Β· πŸ“¦ 1K Β· πŸ“‹ 520 - 17% open Β· ⏱️ 20.07.2021): +- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 340 Β· πŸ“¦ 1.1K Β· πŸ“‹ 520 - 17% open Β· ⏱️ 05.11.2021): ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 26K / month Β· πŸ“¦ 150 Β· ⏱️ 14.12.2020): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 34K / month Β· πŸ“¦ 150 Β· ⏱️ 14.12.2020): ``` pip install sacred ```
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Metaflow (πŸ₯ˆ27 Β· ⭐ 4.6K) - Build and manage real-life data science projects with ease. Apache-2 +
Metaflow (πŸ₯ˆ27 Β· ⭐ 5K) - Build and manage real-life data science projects with ease!. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 400 Β· πŸ“¦ 190 Β· πŸ“‹ 350 - 50% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 430 Β· πŸ“¦ 220 Β· πŸ“‹ 390 - 52% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 44K / month Β· πŸ“¦ 2 Β· ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 30K / month Β· πŸ“¦ 2 Β· ⏱️ 04.11.2021): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 22K Β· ⏱️ 24.08.2021): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 28K Β· ⏱️ 04.11.2021): ``` conda install -c conda-forge metaflow ```
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Catalyst (πŸ₯ˆ27 Β· ⭐ 2.7K) - Accelerated deep learning R&D. Apache-2 +
kaggle (πŸ₯ˆ27 Β· ⭐ 4.4K Β· πŸ’€) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/catalyst-team/catalyst) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 340 Β· πŸ“¦ 400 Β· πŸ“‹ 320 - 4% open Β· ⏱️ 20.08.2021): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 860 Β· πŸ“‹ 330 - 57% open Β· ⏱️ 15.03.2021): ``` - git clone https://github.com/catalyst-team/catalyst + git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/catalyst) (πŸ“₯ 11K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2021): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 450K / month Β· πŸ“¦ 560 Β· ⏱️ 13.03.2021): ``` - pip install catalyst + pip install kaggle + ``` +- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 73K Β· ⏱️ 15.11.2021): + ``` + conda install -c conda-forge kaggle ```
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ClearML (πŸ₯ˆ27 Β· ⭐ 2.7K) - ClearML - Auto-Magical Suite of tools to streamline your ML.. Apache-2 +
ClearML (πŸ₯ˆ27 Β· ⭐ 2.8K) - ClearML - Auto-Magical Suite of tools to streamline your ML.. Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 380 Β· πŸ“₯ 370 Β· πŸ“¦ 68 Β· πŸ“‹ 370 - 33% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 390 Β· πŸ“₯ 380 Β· πŸ“¦ 160 Β· πŸ“‹ 400 - 31% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 49K / month Β· ⏱️ 05.08.2021): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 44K / month Β· ⏱️ 08.11.2021): ``` pip install clearml ``` @@ -6604,156 +6570,168 @@ _Libraries to organize, track, and visualize machine learning experiments._ docker pull allegroai/trains ```
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snakemake (πŸ₯ˆ26 Β· ⭐ 1.1K) - This is the development home of the workflow management system.. MIT +
Catalyst (πŸ₯ˆ27 Β· ⭐ 2.8K) - Accelerated deep learning R&D. Apache-2 + +- [GitHub](https://github.com/catalyst-team/catalyst) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 350 Β· πŸ“¦ 430 Β· πŸ“‹ 330 - 3% open Β· ⏱️ 15.11.2021): + + ``` + git clone https://github.com/catalyst-team/catalyst + ``` +- [PyPi](https://pypi.org/project/catalyst) (πŸ“₯ 12K / month Β· πŸ“¦ 38 Β· ⏱️ 30.10.2021): + ``` + pip install catalyst + ``` +
+
snakemake (πŸ₯ˆ27 Β· ⭐ 1.2K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 240 Β· πŸ“¦ 900 Β· πŸ“‹ 710 - 62% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 270 Β· πŸ“¦ 970 Β· πŸ“‹ 770 - 63% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 17K / month Β· πŸ“¦ 290 Β· ⏱️ 12.08.2021): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 22K / month Β· πŸ“¦ 290 Β· ⏱️ 21.10.2021): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 330K Β· ⏱️ 12.08.2021): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 350K Β· ⏱️ 22.10.2021): ``` conda install -c bioconda snakemake ```
VisualDL (πŸ₯ˆ25 Β· ⭐ 4.2K) - Deep Learning Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 580 Β· πŸ“₯ 140 Β· πŸ“¦ 630 Β· πŸ“‹ 370 - 11% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 580 Β· πŸ“₯ 160 Β· πŸ“¦ 770 Β· πŸ“‹ 380 - 14% open Β· ⏱️ 10.11.2021): ``` git clone https://github.com/PaddlePaddle/VisualDL ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 35K / month Β· πŸ“¦ 10 Β· ⏱️ 23.05.2021): +- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 46K / month Β· πŸ“¦ 10 Β· ⏱️ 09.11.2021): ``` pip install visualdl ```
livelossplot (πŸ₯ˆ25 Β· ⭐ 1.1K) - Live training loss plot in Jupyter Notebook for Keras,.. MIT -- [GitHub](https://github.com/stared/livelossplot) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 140 Β· πŸ“¦ 610 Β· πŸ“‹ 73 - 4% open Β· ⏱️ 16.08.2021): +- [GitHub](https://github.com/stared/livelossplot) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 140 Β· πŸ“¦ 670 Β· πŸ“‹ 73 - 4% open Β· ⏱️ 12.10.2021): ``` git clone https://github.com/stared/livelossplot ``` -- [PyPi](https://pypi.org/project/livelossplot) (πŸ“₯ 71K / month Β· πŸ“¦ 10 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/livelossplot) (πŸ“₯ 72K / month Β· πŸ“¦ 10 Β· ⏱️ 03.02.2021): ``` pip install livelossplot ```
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ml-metadata (πŸ₯ˆ25 Β· ⭐ 360) - For recording and retrieving metadata associated with ML.. Apache-2 +
ml-metadata (πŸ₯ˆ25 Β· ⭐ 400) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 74 Β· πŸ“₯ 1.5K Β· πŸ“¦ 150 Β· πŸ“‹ 69 - 24% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 77 Β· πŸ“₯ 1.7K Β· πŸ“¦ 160 Β· πŸ“‹ 72 - 25% open Β· ⏱️ 12.11.2021): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 1.9M / month Β· ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 880K / month Β· ⏱️ 27.10.2021): ``` pip install ml-metadata ```
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TNT (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - Simple tools for logging and visualizing, loading and training. BSD-3 +
TNT (πŸ₯‰23 Β· ⭐ 1.4K Β· πŸ’€) - Simple tools for logging and visualizing, loading and training. BSD-3 - [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 190 Β· πŸ“‹ 65 - 46% open Β· ⏱️ 05.01.2021): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 15K / month Β· πŸ“¦ 50 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 12K / month Β· πŸ“¦ 50 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
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TensorWatch (πŸ₯‰22 Β· ⭐ 3.2K Β· πŸ’€) - Debugging, monitoring and visualization for Python Machine.. MIT +
Guild AI (πŸ₯‰22 Β· ⭐ 640) - Experiment tracking, ML developer tools. Apache-2 -- [GitHub](https://github.com/microsoft/tensorwatch) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 330 Β· πŸ“¦ 56 Β· πŸ“‹ 65 - 76% open Β· ⏱️ 15.01.2021): +- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 56 Β· πŸ“¦ 38 Β· πŸ“‹ 290 - 40% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/microsoft/tensorwatch + git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 18K / month Β· πŸ“¦ 6 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 5.2K / month Β· ⏱️ 15.11.2021): ``` - pip install tensorwatch + pip install guildai ```
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Guild AI (πŸ₯‰22 Β· ⭐ 620) - Experiment tracking, ML developer tools. Apache-2 +
TensorWatch (πŸ₯‰21 Β· ⭐ 3.2K Β· πŸ’€) - Debugging, monitoring and visualization for Python Machine.. MIT -- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 44 Β· πŸ“¦ 37 Β· πŸ“‹ 280 - 38% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/microsoft/tensorwatch) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 330 Β· πŸ“¦ 63 Β· πŸ“‹ 65 - 76% open Β· ⏱️ 15.01.2021): ``` - git clone https://github.com/guildai/guildai + git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 5.9K / month Β· ⏱️ 27.07.2021): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 4.2K / month Β· πŸ“¦ 6 Β· ⏱️ 04.03.2020): ``` - pip install guildai + pip install tensorwatch ```
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Labml (πŸ₯‰21 Β· ⭐ 700 Β· πŸ“‰) - Monitor deep learning model training and hardware usage from your mobile.. MIT +
Labml (πŸ₯‰21 Β· ⭐ 810) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 56 Β· πŸ“¦ 32 Β· πŸ“‹ 23 - 60% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 57 Β· πŸ“¦ 38 Β· πŸ“‹ 24 - 58% open Β· ⏱️ 06.09.2021): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 1.1K / month Β· ⏱️ 20.08.2021): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 970 / month Β· ⏱️ 31.08.2021): ``` pip install labml ```
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Studio.ml (πŸ₯‰21 Β· ⭐ 370 Β· πŸ“‰) - Studio: Simplify and expedite model building process. Apache-2 +
Studio.ml (πŸ₯‰21 Β· ⭐ 370) - Studio: Simplify and expedite model building process. Apache-2 -- [GitHub](https://github.com/studioml/studio) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 52 Β· πŸ“¦ 4 Β· πŸ“‹ 250 - 22% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/studioml/studio) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 52 Β· πŸ“¦ 5 Β· πŸ“‹ 250 - 22% open Β· ⏱️ 14.09.2021): ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 1K / month Β· ⏱️ 16.08.2021): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 580 / month Β· ⏱️ 14.09.2021): ``` pip install studioml ```
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keepsake (πŸ₯‰17 Β· ⭐ 1.5K) - Version control for machine learning. Apache-2 +
aim (πŸ₯‰20 Β· ⭐ 1.7K Β· πŸ“ˆ) - Aim an easy-to-use and performant open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/replicate/keepsake) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 57 Β· πŸ“‹ 190 - 65% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 100 Β· πŸ“¦ 40 Β· πŸ“‹ 240 - 44% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/replicate/keepsake + git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 870 / month Β· ⏱️ 11.03.2021): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 24K / month Β· πŸ“¦ 2 Β· ⏱️ 21.10.2021): ``` - pip install keepsake + pip install aim ```
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aim (πŸ₯‰17 Β· ⭐ 1.4K) - Aim a super-easy way to record, search and compare 1000s of ML training.. Apache-2 +
keepsake (πŸ₯‰16 Β· ⭐ 1.5K) - Version control for machine learning. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 83 Β· πŸ“‹ 190 - 52% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/replicate/keepsake) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 58 Β· πŸ“‹ 190 - 65% open Β· ⏱️ 07.05.2021): ``` - git clone https://github.com/aimhubio/aim + git clone https://github.com/replicate/keepsake ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 2.2K / month Β· πŸ“¦ 2 Β· ⏱️ 20.07.2021): +- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 730 / month Β· ⏱️ 11.03.2021): ``` - pip install aim + pip install keepsake ```
Show 12 hidden projects... -- knockknock (πŸ₯‰23 Β· ⭐ 2.2K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT -- TensorBoard Logger (πŸ₯‰22 Β· ⭐ 620 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT -- lore (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT +- knockknock (πŸ₯‰23 Β· ⭐ 2.3K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - hiddenlayer (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT -- MXBoard (πŸ₯‰19 Β· ⭐ 330 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 -- quinn (πŸ₯‰19 Β· ⭐ 270) - pyspark methods to enhance developer productivity. Apache-2 -- gokart (πŸ₯‰19 Β· ⭐ 200) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT -- datmo (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT -- SKLL (πŸ₯‰16 Β· ⭐ 520) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause +- TensorBoard Logger (πŸ₯‰21 Β· ⭐ 620 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT +- MXBoard (πŸ₯‰21 Β· ⭐ 330 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 +- lore (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT +- quinn (πŸ₯‰20 Β· ⭐ 300 Β· πŸ’€) - pyspark methods to enhance developer productivity. Apache-2 +- gokart (πŸ₯‰19 Β· ⭐ 220) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT +- SKLL (πŸ₯‰17 Β· ⭐ 520) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause +- datmo (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT - steppy (πŸ₯‰16 Β· ⭐ 130 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT -- ModelChimp (πŸ₯‰15 Β· ⭐ 120) - Experiment tracking for machine and deep learning projects. BSD-2 -- traintool (πŸ₯‰10 Β· ⭐ 9) - Train off-the-shelf machine learning models in one.. Apache-2 +- ModelChimp (πŸ₯‰14 Β· ⭐ 120) - Experiment tracking for machine and deep learning projects. BSD-2 +- traintool (πŸ₯‰9 Β· ⭐ 9 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2

@@ -6763,69 +6741,69 @@ _Libraries to organize, track, and visualize machine learning experiments._ _Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment._ -
onnx (πŸ₯‡35 Β· ⭐ 11K) - Open standard for machine learning interoperability. Apache-2 +
onnx (πŸ₯‡35 Β· ⭐ 12K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 2.1K Β· πŸ“₯ 16K Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.7K - 29% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 2.2K Β· πŸ“₯ 17K Β· πŸ“¦ 4.7K Β· πŸ“‹ 1.8K - 27% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 1.8M / month Β· πŸ“¦ 300 Β· ⏱️ 02.08.2021): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 1.7M / month Β· πŸ“¦ 300 Β· ⏱️ 26.10.2021): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 280K Β· ⏱️ 03.08.2021): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 310K Β· ⏱️ 24.10.2021): ``` conda install -c conda-forge onnx ```
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BentoML (πŸ₯‡27 Β· ⭐ 2.8K) - Model Serving Made Easy. Apache-2 +
BentoML (πŸ₯‡27 Β· ⭐ 3K) - Model Serving Made Easy. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 320 Β· πŸ“₯ 880 Β· πŸ“¦ 100 Β· πŸ“‹ 470 - 15% open Β· ⏱️ 13.08.2021): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 340 Β· πŸ“₯ 930 Β· πŸ“¦ 130 Β· πŸ“‹ 480 - 14% open Β· ⏱️ 05.11.2021): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 11K / month Β· πŸ“¦ 8 Β· ⏱️ 13.07.2021): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 16K / month Β· πŸ“¦ 8 Β· ⏱️ 13.07.2021): ``` pip install bentoml ```
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Core ML Tools (πŸ₯ˆ24 Β· ⭐ 2.3K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 +
Core ML Tools (πŸ₯‡27 Β· ⭐ 2.4K Β· πŸ“ˆ) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 380 Β· πŸ“₯ 3.4K Β· πŸ“¦ 600 Β· πŸ“‹ 780 - 50% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 390 Β· πŸ“₯ 3.8K Β· πŸ“¦ 680 Β· πŸ“‹ 820 - 38% open Β· ⏱️ 10.11.2021): ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 50K / month Β· πŸ“¦ 270 Β· ⏱️ 16.08.2021): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 84K / month Β· πŸ“¦ 270 Β· ⏱️ 09.11.2021): ``` pip install coremltools ```
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TorchServe (πŸ₯ˆ24 Β· ⭐ 2K) - Model Serving on PyTorch. Apache-2 +
TorchServe (πŸ₯ˆ24 Β· ⭐ 2.2K) - Model Serving on PyTorch. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 360 Β· πŸ“₯ 580 Β· πŸ“‹ 680 - 16% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 400 Β· πŸ“₯ 680 Β· πŸ“‹ 740 - 15% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 10K / month Β· ⏱️ 02.08.2021): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 15K / month Β· ⏱️ 02.08.2021): ``` pip install torchserve ``` -- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 12K Β· ⏱️ 02.08.2021): +- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 15K Β· ⏱️ 02.08.2021): ``` conda install -c pytorch torchserve ``` -- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 110K Β· ⭐ 6 Β· ⏱️ 02.08.2021): +- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 940K Β· ⭐ 9 Β· ⏱️ 02.08.2021): ``` docker pull pytorch/torchserve ```
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cortex (πŸ₯ˆ23 Β· ⭐ 7.6K) - Containers as a service on AWS. Apache-2 +
cortex (πŸ₯ˆ23 Β· ⭐ 7.6K) - Production infrastructure for machine learning at scale. Apache-2 -- [GitHub](https://github.com/cortexlabs/cortex) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 570 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 05.08.2021): +- [GitHub](https://github.com/cortexlabs/cortex) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 580 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/cortexlabs/cortex @@ -6835,50 +6813,38 @@ _Libraries to serialize models to files, convert between a variety of model form pip install cortex ```
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mmdnn (πŸ₯ˆ22 Β· ⭐ 5.4K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT +
Hummingbird (πŸ₯ˆ22 Β· ⭐ 2.7K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/MMdnn) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 940 Β· πŸ“₯ 3.4K Β· πŸ“¦ 66 Β· πŸ“‹ 600 - 52% open Β· ⏱️ 14.08.2020): - - ``` - git clone https://github.com/Microsoft/MMdnn - ``` -- [PyPi](https://pypi.org/project/mmdnn) (πŸ“₯ 820 / month Β· πŸ“¦ 3 Β· ⏱️ 24.07.2020): - ``` - pip install mmdnn - ``` -
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Hummingbird (πŸ₯ˆ22 Β· ⭐ 2.5K) - Hummingbird compiles trained ML models into tensor computation for.. MIT - -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 200 Β· πŸ“₯ 140 Β· πŸ“¦ 18 Β· πŸ“‹ 220 - 22% open Β· ⏱️ 06.08.2021): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 200 Β· πŸ“₯ 150 Β· πŸ“¦ 20 Β· πŸ“‹ 220 - 22% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 3.7K / month Β· ⏱️ 22.06.2021): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 2.6K / month Β· ⏱️ 31.08.2021): ``` pip install hummingbird-ml ```
m2cgen (πŸ₯ˆ22 Β· ⭐ 1.9K) - Transform ML models into a native code (Java, C, Python, Go, JavaScript,.. MIT -- [GitHub](https://github.com/BayesWitnesses/m2cgen) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 160 Β· πŸ“¦ 6 Β· πŸ“‹ 83 - 43% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/BayesWitnesses/m2cgen) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 160 Β· πŸ“¦ 7 Β· πŸ“‹ 83 - 43% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/BayesWitnesses/m2cgen ``` -- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 30K / month Β· ⏱️ 18.09.2020): +- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 50K / month Β· ⏱️ 18.09.2020): ``` pip install m2cgen ```
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pytorch2keras (πŸ₯‰19 Β· ⭐ 740) - PyTorch to Keras model convertor. MIT +
pytorch2keras (πŸ₯‰19 Β· ⭐ 750) - PyTorch to Keras model convertor. MIT -- [GitHub](https://github.com/gmalivenko/pytorch2keras) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 120 Β· πŸ“¦ 24 Β· πŸ“‹ 120 - 42% open Β· ⏱️ 06.08.2021): +- [GitHub](https://github.com/gmalivenko/pytorch2keras) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 130 Β· πŸ“¦ 24 Β· πŸ“‹ 120 - 42% open Β· ⏱️ 06.08.2021): ``` git clone https://github.com/gmalivenko/pytorch2keras ``` -- [PyPi](https://pypi.org/project/pytorch2keras) (πŸ“₯ 700 / month Β· πŸ“¦ 1 Β· ⏱️ 14.05.2020): +- [PyPi](https://pypi.org/project/pytorch2keras) (πŸ“₯ 750 / month Β· πŸ“¦ 1 Β· ⏱️ 14.05.2020): ``` pip install pytorch2keras ``` @@ -6890,17 +6856,18 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 98 / month Β· πŸ“¦ 2 Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 51 / month Β· πŸ“¦ 2 Β· ⏱️ 30.03.2017): ``` pip install tfdeploy ```
-
Show 4 hidden projects... +
Show 5 hidden projects... -- huggingface_hub (πŸ₯‰21 Β· ⭐ 190) - all the open source things related to the Hugging Face Hub. Apache-2 +- mmdnn (πŸ₯ˆ22 Β· ⭐ 5.5K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT +- huggingface_hub (πŸ₯‰21 Β· ⭐ 270) - All the open source things related to the Hugging Face Hub. Apache-2 - sklearn-porter (πŸ₯‰17 Β· ⭐ 1.1K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. MIT -- Larq Compute Engine (πŸ₯‰17 Β· ⭐ 160) - Highly optimized inference engine for Binarized.. Apache-2 -- backprop (πŸ₯‰14 Β· ⭐ 200) - Backprop makes it simple to use, finetune, and deploy state-of-the-.. Apache-2 +- Larq Compute Engine (πŸ₯‰17 Β· ⭐ 170) - Highly optimized inference engine for Binarized.. Apache-2 +- backprop (πŸ₯‰12 Β· ⭐ 220) - Backprop makes it simple to use, finetune, and deploy state-of-the-.. Apache-2

@@ -6910,471 +6877,504 @@ _Libraries to serialize models to files, convert between a variety of model form _Libraries to visualize, explain, debug, evaluate, and interpret machine learning models._ -
shap (πŸ₯‡34 Β· ⭐ 14K) - A game theoretic approach to explain the output of any machine learning model. MIT +
shap (πŸ₯‡36 Β· ⭐ 15K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/slundberg/shap) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2K Β· πŸ“¦ 3.2K Β· πŸ“‹ 1.7K - 67% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/slundberg/shap) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.7K - 68% open Β· ⏱️ 20.10.2021): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 3M / month Β· πŸ“¦ 140 Β· ⏱️ 15.01.2021): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 4.4M / month Β· πŸ“¦ 140 Β· ⏱️ 20.10.2021): ``` pip install shap ``` -- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 600K Β· ⏱️ 29.04.2021): +- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 690K Β· ⏱️ 24.10.2021): ``` conda install -c conda-forge shap ```
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Lime (πŸ₯‡30 Β· ⭐ 9K Β· πŸ“ˆ) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 +
Lime (πŸ₯‡30 Β· ⭐ 9.3K) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 -- [GitHub](https://github.com/marcotcr/lime) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.5K Β· πŸ“‹ 540 - 3% open Β· ⏱️ 29.07.2021): +- [GitHub](https://github.com/marcotcr/lime) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.7K Β· πŸ“‹ 540 - 3% open Β· ⏱️ 29.07.2021): ``` git clone https://github.com/marcotcr/lime ``` -- [PyPi](https://pypi.org/project/lime) (πŸ“₯ 460K / month Β· πŸ“¦ 130 Β· ⏱️ 26.06.2020): +- [PyPi](https://pypi.org/project/lime) (πŸ“₯ 1.4M / month Β· πŸ“¦ 130 Β· ⏱️ 26.06.2020): ``` pip install lime ``` -- [Conda](https://anaconda.org/conda-forge/lime) (πŸ“₯ 80K Β· ⏱️ 28.06.2020): +- [Conda](https://anaconda.org/conda-forge/lime) (πŸ“₯ 86K Β· ⏱️ 28.06.2020): ``` conda install -c conda-forge lime ```
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pyLDAvis (πŸ₯‡29 Β· ⭐ 1.5K) - Python library for interactive topic model visualization. Port of.. BSD-3 +
pyLDAvis (πŸ₯‡28 Β· ⭐ 1.5K Β· πŸ’€) - Python library for interactive topic model visualization... BSD-3 -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 310 Β· πŸ“¦ 2.5K Β· πŸ“‹ 160 - 50% open Β· ⏱️ 24.03.2021): +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 320 Β· πŸ“¦ 2.8K Β· πŸ“‹ 160 - 52% open Β· ⏱️ 24.03.2021): ``` git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 280K / month Β· πŸ“¦ 200 Β· ⏱️ 24.03.2021): +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 520K / month Β· πŸ“¦ 200 Β· ⏱️ 24.03.2021): ``` pip install pyldavis ``` -- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 28K Β· ⏱️ 24.03.2021): +- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 31K Β· ⏱️ 24.03.2021): ``` conda install -c conda-forge pyldavis ```
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InterpretML (πŸ₯‡28 Β· ⭐ 4K) - Fit interpretable models. Explain blackbox machine learning. MIT +
Model Analysis (πŸ₯‡28 Β· ⭐ 1.1K) - Model analysis tools for TensorFlow. Apache-2 + +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 230 Β· πŸ“‹ 72 - 34% open Β· ⏱️ 12.11.2021): + + ``` + git clone https://github.com/tensorflow/model-analysis + ``` +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 8.6M / month Β· πŸ“¦ 20 Β· ⏱️ 02.11.2021): + ``` + pip install tensorflow-model-analysis + ``` +
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InterpretML (πŸ₯‡27 Β· ⭐ 4.3K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 500 Β· πŸ“¦ 110 Β· πŸ“‹ 230 - 33% open Β· ⏱️ 10.08.2021): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 520 Β· πŸ“¦ 130 Β· πŸ“‹ 250 - 35% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 68K / month Β· πŸ“¦ 2 Β· ⏱️ 20.07.2021): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 58K / month Β· πŸ“¦ 2 Β· ⏱️ 23.09.2021): ``` pip install interpret ```
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Captum (πŸ₯‡28 Β· ⭐ 2.6K) - Model interpretability and understanding for PyTorch. BSD-3 +
Captum (πŸ₯‡27 Β· ⭐ 2.8K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 270 Β· πŸ“¦ 240 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 290 Β· πŸ“¦ 310 Β· πŸ“‹ 300 - 25% open Β· ⏱️ 12.11.2021): ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 91K / month Β· ⏱️ 07.07.2021): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 35K / month Β· ⏱️ 02.11.2021): ``` pip install captum ```
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Model Analysis (πŸ₯ˆ27 Β· ⭐ 1.1K) - Model analysis tools for TensorFlow. Apache-2 +
dtreeviz (πŸ₯‡27 Β· ⭐ 1.8K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 220 Β· πŸ“‹ 70 - 35% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 230 Β· πŸ“¦ 260 Β· πŸ“‹ 110 - 19% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/tensorflow/model-analysis + git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 8.1M / month Β· πŸ“¦ 20 Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 180K / month Β· πŸ“¦ 4 Β· ⏱️ 10.11.2021): ``` - pip install tensorflow-model-analysis + pip install dtreeviz ```
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DoWhy (πŸ₯ˆ26 Β· ⭐ 3.2K) - DoWhy is a Python library for causal inference that supports explicit.. MIT +
arviz (πŸ₯‡27 Β· ⭐ 1.1K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/microsoft/dowhy) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 460 Β· πŸ“₯ 24 Β· πŸ“¦ 58 Β· πŸ“‹ 130 - 24% open Β· ⏱️ 02.08.2021): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“₯ 110 Β· πŸ“¦ 1.6K Β· πŸ“‹ 740 - 25% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/Microsoft/dowhy + git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 63K / month Β· ⏱️ 03.03.2021): +- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 300K / month Β· πŸ“¦ 36 Β· ⏱️ 03.10.2021): ``` - pip install dowhy + pip install arviz ``` -- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 3.1K Β· ⏱️ 28.04.2021): +- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 550K Β· ⏱️ 03.10.2021): ``` - conda install -c conda-forge dowhy + conda install -c conda-forge arviz ```
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dtreeviz (πŸ₯ˆ26 Β· ⭐ 1.6K) - A python library for decision tree visualization and model interpretation. MIT +
shapash (πŸ₯ˆ26 Β· ⭐ 1.4K) - Shapash makes Machine Learning models transparent and.. Apache-2 -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 210 Β· πŸ“¦ 200 Β· πŸ“‹ 100 - 19% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 190 Β· πŸ“¦ 43 Β· πŸ“‹ 86 - 9% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/parrt/dtreeviz + git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 160K / month Β· πŸ“¦ 4 Β· ⏱️ 05.04.2021): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 18K / month Β· ⏱️ 27.09.2021): ``` - pip install dtreeviz + pip install shapash ```
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Lucid (πŸ₯ˆ25 Β· ⭐ 4.3K) - A collection of infrastructure and tools for research in neural.. Apache-2 +
Alibi (πŸ₯ˆ25 Β· ⭐ 1.4K) - Algorithms for explaining machine learning models. Apache-2 -- [GitHub](https://github.com/tensorflow/lucid) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 590 Β· πŸ“¦ 580 Β· πŸ“‹ 170 - 39% open Β· ⏱️ 19.03.2021): +- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 160 Β· πŸ“¦ 110 Β· πŸ“‹ 240 - 42% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/tensorflow/lucid + git clone https://github.com/SeldonIO/alibi ``` -- [PyPi](https://pypi.org/project/lucid) (πŸ“₯ 1K / month Β· πŸ“¦ 6 Β· ⏱️ 19.03.2021): +- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 12K / month Β· πŸ“¦ 18 Β· ⏱️ 02.09.2021): ``` - pip install lucid + pip install alibi ```
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Fairness 360 (πŸ₯ˆ25 Β· ⭐ 1.5K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 +
DoWhy (πŸ₯ˆ24 Β· ⭐ 3.4K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 470 Β· πŸ“¦ 110 Β· πŸ“‹ 110 - 48% open Β· ⏱️ 21.07.2021): +- [GitHub](https://github.com/microsoft/dowhy) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 510 Β· πŸ“₯ 24 Β· πŸ“¦ 75 Β· πŸ“‹ 150 - 25% open Β· ⏱️ 11.11.2021): ``` - git clone https://github.com/Trusted-AI/AIF360 + git clone https://github.com/Microsoft/dowhy ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 5.7K / month Β· πŸ“¦ 4 Β· ⏱️ 04.03.2021): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 46K / month Β· ⏱️ 03.03.2021): ``` - pip install aif360 + pip install dowhy + ``` +- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 3.9K Β· ⏱️ 28.04.2021): + ``` + conda install -c conda-forge dowhy ```
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shapash (πŸ₯ˆ25 Β· ⭐ 1.3K) - Shapash makes Machine Learning models transparent and.. Apache-2 +
Fairness 360 (πŸ₯ˆ24 Β· ⭐ 1.6K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 180 Β· πŸ“¦ 24 Β· πŸ“‹ 77 - 10% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 480 Β· πŸ“¦ 120 Β· πŸ“‹ 110 - 48% open Β· ⏱️ 18.09.2021): ``` - git clone https://github.com/MAIF/shapash + git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 13K / month Β· ⏱️ 19.07.2021): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 7.2K / month Β· πŸ“¦ 4 Β· ⏱️ 04.03.2021): ``` - pip install shapash + pip install aif360 ```
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arviz (πŸ₯ˆ25 Β· ⭐ 1.1K) - Exploratory analysis of Bayesian models with Python. Apache-2 +
CausalNex (πŸ₯ˆ24 Β· ⭐ 1.4K Β· πŸ“ˆ) - A Python library that helps data scientists to infer.. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 220 Β· πŸ“₯ 110 Β· πŸ“¦ 1.3K Β· πŸ“‹ 630 - 22% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/quantumblacklabs/causalnex) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 150 Β· πŸ“¦ 32 Β· πŸ“‹ 98 - 11% open Β· ⏱️ 11.11.2021): ``` - git clone https://github.com/arviz-devs/arviz - ``` -- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 290K / month Β· πŸ“¦ 36 Β· ⏱️ 21.02.2021): - ``` - pip install arviz + git clone https://github.com/quantumblacklabs/causalnex ``` -- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 440K Β· ⏱️ 20.04.2021): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 4.7K / month Β· ⏱️ 11.11.2021): ``` - conda install -c conda-forge arviz + pip install causalnex ```
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Alibi (πŸ₯ˆ24 Β· ⭐ 1.1K) - Algorithms for explaining machine learning models. Apache-2 +
Lucid (πŸ₯ˆ23 Β· ⭐ 4.3K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 140 Β· πŸ“¦ 99 Β· πŸ“‹ 230 - 44% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/tensorflow/lucid) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 590 Β· πŸ“¦ 590 Β· πŸ“‹ 170 - 40% open Β· ⏱️ 19.03.2021): ``` - git clone https://github.com/SeldonIO/alibi + git clone https://github.com/tensorflow/lucid ``` -- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 14K / month Β· πŸ“¦ 18 Β· ⏱️ 08.07.2021): +- [PyPi](https://pypi.org/project/lucid) (πŸ“₯ 1K / month Β· πŸ“¦ 6 Β· ⏱️ 19.03.2021): ``` - pip install alibi + pip install lucid ```
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yellowbrick (πŸ₯ˆ23 Β· ⭐ 3.3K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 +
yellowbrick (πŸ₯ˆ23 Β· ⭐ 3.4K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 -- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 480 Β· πŸ“‹ 640 - 14% open Β· ⏱️ 12.07.2021): +- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 490 Β· πŸ“‹ 640 - 14% open Β· ⏱️ 10.11.2021): ``` git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 240K / month Β· πŸ“¦ 62 Β· ⏱️ 13.02.2021): +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 390K / month Β· πŸ“¦ 62 Β· ⏱️ 13.02.2021): ``` pip install yellowbrick ```
checklist (πŸ₯ˆ23 Β· ⭐ 1.5K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT -- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 130 Β· πŸ“¦ 22 Β· πŸ“‹ 80 - 10% open Β· ⏱️ 09.08.2021): +- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 140 Β· πŸ“¦ 45 Β· πŸ“‹ 86 - 13% open Β· ⏱️ 28.09.2021): ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 15K / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 15K / month Β· πŸ“¦ 4 Β· ⏱️ 24.05.2021): ``` pip install checklist ```
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keract (πŸ₯ˆ23 Β· ⭐ 910) - Layers Outputs and Gradients in Keras. Made easy. MIT +
keract (πŸ₯ˆ23 Β· ⭐ 940) - Layers Outputs and Gradients in Keras. Made easy. MIT -- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 94 Β· πŸ“‹ 82 - 1% open Β· ⏱️ 28.07.2021): +- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 100 Β· πŸ“‹ 83 - 2% open Β· ⏱️ 28.07.2021): ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 1.7K / month Β· πŸ“¦ 5 Β· ⏱️ 19.06.2021): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 1.2K / month Β· πŸ“¦ 5 Β· ⏱️ 19.06.2021): ``` pip install keract ```
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CausalNex (πŸ₯ˆ21 Β· ⭐ 1.2K) - A Python library that helps data scientists to infer.. Apache-2 +
explainerdashboard (πŸ₯ˆ23 Β· ⭐ 670) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/quantumblacklabs/causalnex) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 14 Β· πŸ“‹ 110 - 31% open Β· ⏱️ 21.08.2021): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 85 Β· πŸ“¦ 43 Β· πŸ“‹ 130 - 14% open Β· ⏱️ 24.10.2021): ``` - git clone https://github.com/quantumblacklabs/causalnex + git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 3.2K / month Β· ⏱️ 11.05.2021): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 6.8K / month Β· ⏱️ 24.10.2021): ``` - pip install causalnex + pip install explainerdashboard ```
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Explainability 360 (πŸ₯ˆ21 Β· ⭐ 920) - Interpretability and explainability of data and machine.. Apache-2 +
Explainability 360 (πŸ₯‰22 Β· ⭐ 980) - Interpretability and explainability of data and machine.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 180 Β· πŸ“¦ 28 Β· πŸ“‹ 53 - 56% open Β· ⏱️ 02.05.2021): +- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 35 Β· πŸ“‹ 63 - 60% open Β· ⏱️ 12.10.2021): ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 820 / month Β· πŸ“¦ 1 Β· ⏱️ 28.10.2020): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 28.10.2020): ``` pip install aix360 ```
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tf-explain (πŸ₯ˆ21 Β· ⭐ 850) - Interpretability Methods for tf.keras models with Tensorflow 2.x. MIT +
fairlearn (πŸ₯‰21 Β· ⭐ 1.1K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/sicara/tf-explain) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 81 Β· πŸ“¦ 85 Β· πŸ“‹ 82 - 41% open Β· ⏱️ 22.06.2021): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 260 Β· πŸ“‹ 330 - 40% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/sicara/tf-explain + git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/tf-explain) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 16.02.2021): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 27K / month Β· πŸ“¦ 2 Β· ⏱️ 07.07.2021): ``` - pip install tf-explain + pip install fairlearn + ``` +- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 16K Β· ⏱️ 07.07.2021): + ``` + conda install -c conda-forge fairlearn ```
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TreeInterpreter (πŸ₯ˆ21 Β· ⭐ 680) - Package for interpreting scikit-learn's decision tree.. BSD-3 +
tf-explain (πŸ₯‰21 Β· ⭐ 880) - Interpretability Methods for tf.keras models with Tensorflow 2.x. MIT -- [GitHub](https://github.com/andosa/treeinterpreter) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 130 Β· πŸ“¦ 160 Β· πŸ“‹ 28 - 85% open Β· ⏱️ 28.02.2021): +- [GitHub](https://github.com/sicara/tf-explain) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 87 Β· πŸ“¦ 92 Β· πŸ“‹ 86 - 43% open Β· ⏱️ 08.11.2021): ``` - git clone https://github.com/andosa/treeinterpreter + git clone https://github.com/sicara/tf-explain ``` -- [PyPi](https://pypi.org/project/treeinterpreter) (πŸ“₯ 240K / month Β· πŸ“¦ 18 Β· ⏱️ 10.01.2021): +- [PyPi](https://pypi.org/project/tf-explain) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 16.02.2021): ``` - pip install treeinterpreter + pip install tf-explain ```
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explainerdashboard (πŸ₯ˆ21 Β· ⭐ 620) - Quickly build Explainable AI dashboards that show the inner.. MIT +
TreeInterpreter (πŸ₯‰21 Β· ⭐ 680 Β· πŸ’€) - Package for interpreting scikit-learn's decision tree.. BSD-3 -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 80 Β· πŸ“¦ 37 Β· πŸ“‹ 120 - 8% open Β· ⏱️ 08.07.2021): +- [GitHub](https://github.com/andosa/treeinterpreter) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 130 Β· πŸ“¦ 170 Β· πŸ“‹ 28 - 85% open Β· ⏱️ 28.02.2021): ``` - git clone https://github.com/oegedijk/explainerdashboard + git clone https://github.com/andosa/treeinterpreter ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 7.9K / month Β· ⏱️ 08.07.2021): +- [PyPi](https://pypi.org/project/treeinterpreter) (πŸ“₯ 220K / month Β· πŸ“¦ 18 Β· ⏱️ 10.01.2021): ``` - pip install explainerdashboard + pip install treeinterpreter ```
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random-forest-importances (πŸ₯ˆ21 Β· ⭐ 470 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT +
random-forest-importances (πŸ₯‰21 Β· ⭐ 480 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT -- [GitHub](https://github.com/parrt/random-forest-importances) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“¦ 76 Β· πŸ“‹ 32 - 12% open Β· ⏱️ 30.01.2021): +- [GitHub](https://github.com/parrt/random-forest-importances) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“¦ 86 Β· πŸ“‹ 33 - 15% open Β· ⏱️ 30.01.2021): ``` git clone https://github.com/parrt/random-forest-importances ``` -- [PyPi](https://pypi.org/project/rfpimp) (πŸ“₯ 21K / month Β· πŸ“¦ 4 Β· ⏱️ 28.01.2021): +- [PyPi](https://pypi.org/project/rfpimp) (πŸ“₯ 17K / month Β· πŸ“¦ 4 Β· ⏱️ 28.01.2021): ``` pip install rfpimp ```
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sklearn-evaluation (πŸ₯ˆ21 Β· ⭐ 310) - Machine learning model evaluation made easy: plots,.. MIT +
sklearn-evaluation (πŸ₯‰21 Β· ⭐ 320) - Machine learning model evaluation made easy: plots,.. MIT -- [GitHub](https://github.com/edublancas/sklearn-evaluation) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 28 Β· πŸ“¦ 29 Β· πŸ“‹ 37 - 21% open Β· ⏱️ 10.07.2021): +- [GitHub](https://github.com/edublancas/sklearn-evaluation) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 28 Β· πŸ“¦ 32 Β· πŸ“‹ 37 - 21% open Β· ⏱️ 17.10.2021): ``` git clone https://github.com/edublancas/sklearn-evaluation ``` -- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 26.06.2021): +- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 17.10.2021): ``` pip install sklearn-evaluation ```
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fairlearn (πŸ₯‰20 Β· ⭐ 1K) - A Python package to assess and improve fairness of machine learning.. MIT +
DiCE (πŸ₯‰20 Β· ⭐ 700) - Generate Diverse Counterfactual Explanations for any machine.. MIT -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 240 Β· πŸ“‹ 290 - 42% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 88 Β· πŸ“‹ 95 - 48% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/fairlearn/fairlearn + git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 28K / month Β· πŸ“¦ 2 Β· ⏱️ 07.07.2021): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 20K / month Β· ⏱️ 27.09.2021): ``` - pip install fairlearn + pip install dice-ml ``` -- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 14K Β· ⏱️ 07.07.2021): +
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What-If Tool (πŸ₯‰20 Β· ⭐ 600) - Source code/webpage/demos for the What-If Tool. Apache-2 + +- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 120 Β· πŸ“‹ 100 - 54% open Β· ⏱️ 01.11.2021): + ``` - conda install -c conda-forge fairlearn + git clone https://github.com/PAIR-code/what-if-tool + ``` +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 6.9K / month Β· ⏱️ 12.10.2021): + ``` + pip install witwidget + ``` +- [NPM](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 4K / month Β· ⏱️ 12.10.2021): + ``` + npm install wit-widget ```
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DiCE (πŸ₯‰20 Β· ⭐ 620) - Generate Diverse Counterfactual Explanations for any machine.. MIT +
deeplift (πŸ₯‰20 Β· ⭐ 590) - Public facing deeplift repo. MIT -- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 81 Β· πŸ“‹ 77 - 41% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/kundajelab/deeplift) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 130 Β· πŸ“¦ 52 Β· πŸ“‹ 81 - 40% open Β· ⏱️ 11.11.2021): ``` - git clone https://github.com/interpretml/DiCE + git clone https://github.com/kundajelab/deeplift ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 22K / month Β· ⏱️ 24.08.2021): +- [PyPi](https://pypi.org/project/deeplift) (πŸ“₯ 690 / month Β· πŸ“¦ 4 Β· ⏱️ 11.11.2020): ``` - pip install dice-ml + pip install deeplift ```
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aequitas (πŸ₯‰20 Β· ⭐ 410) - Bias and Fairness Audit Toolkit. MIT +
aequitas (πŸ₯‰20 Β· ⭐ 430) - Bias and Fairness Audit Toolkit. MIT -- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 77 Β· πŸ“¦ 77 Β· πŸ“‹ 58 - 63% open Β· ⏱️ 27.05.2021): +- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 79 Β· πŸ“¦ 85 Β· πŸ“‹ 58 - 63% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 890 / month Β· πŸ“¦ 6 Β· ⏱️ 16.12.2020): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 2K / month Β· πŸ“¦ 6 Β· ⏱️ 16.12.2020): ``` pip install aequitas ```
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What-If Tool (πŸ₯‰19 Β· ⭐ 570) - Source code/webpage/demos for the What-If Tool. Apache-2 +
responsible-ai-widgets (πŸ₯‰20 Β· ⭐ 320) - This project provides responsible AI user interfaces.. MIT -- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 110 Β· πŸ“‹ 82 - 48% open Β· ⏱️ 17.03.2021): +- [GitHub](https://github.com/microsoft/responsible-ai-widgets) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 73 Β· πŸ“¦ 18 Β· πŸ“‹ 220 - 35% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/PAIR-code/what-if-tool - ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 9.7K / month Β· ⏱️ 19.01.2021): + git clone https://github.com/microsoft/responsible-ai-widgets ``` - pip install witwidget - ``` -- [NPM](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 2.4K / month Β· ⏱️ 19.01.2021): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 5K / month Β· ⏱️ 11.11.2021): ``` - npm install wit-widget + pip install raiwidgets ```
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deeplift (πŸ₯‰19 Β· ⭐ 560 Β· πŸ’€) - Public facing deeplift repo. MIT +
XAI (πŸ₯‰19 Β· ⭐ 730) - XAI - An eXplainability toolbox for machine learning. MIT -- [GitHub](https://github.com/kundajelab/deeplift) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 130 Β· πŸ“¦ 49 Β· πŸ“‹ 76 - 38% open Β· ⏱️ 11.11.2020): +- [GitHub](https://github.com/EthicalML/xai) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 110 Β· πŸ“¦ 11 Β· πŸ“‹ 8 - 12% open Β· ⏱️ 30.10.2021): ``` - git clone https://github.com/kundajelab/deeplift + git clone https://github.com/EthicalML/xai ``` -- [PyPi](https://pypi.org/project/deeplift) (πŸ“₯ 590 / month Β· πŸ“¦ 4 Β· ⏱️ 11.11.2020): +- [PyPi](https://pypi.org/project/xai) (πŸ“₯ 310 / month Β· πŸ“¦ 6 Β· ⏱️ 30.10.2021): ``` - pip install deeplift + pip install xai ```
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LIT (πŸ₯‰18 Β· ⭐ 2.6K) - The Language Interpretability Tool: Interactively analyze NLP models for.. Apache-2 +
imodels (πŸ₯‰19 Β· ⭐ 310) - Interpretable ML package for concise, transparent, and accurate predictive.. MIT -- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 260 Β· πŸ“¦ 6 Β· πŸ“‹ 110 - 59% open Β· ⏱️ 05.04.2021): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 28 Β· πŸ“¦ 9 Β· πŸ“‹ 16 - 12% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/PAIR-code/lit + git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 330 / month Β· ⏱️ 05.04.2021): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 990 / month Β· ⏱️ 15.11.2021): ``` - pip install lit-nlp + pip install imodels ```
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iNNvestigate (πŸ₯‰18 Β· ⭐ 880) - A toolbox to iNNvestigate neural networks' predictions!. BSD-2 +
LIT (πŸ₯‰18 Β· ⭐ 2.7K) - The Language Interpretability Tool: Interactively analyze NLP models for.. Apache-2 -- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 190 Β· πŸ“‹ 230 - 31% open Β· ⏱️ 03.08.2021): +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 270 Β· πŸ“¦ 7 Β· πŸ“‹ 140 - 56% open Β· ⏱️ 14.11.2021): ``` - git clone https://github.com/albermax/innvestigate + git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 390 / month Β· πŸ“¦ 1 Β· ⏱️ 14.11.2020): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 450 / month Β· ⏱️ 09.11.2021): ``` - pip install innvestigate + pip install lit-nlp ```
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XAI (πŸ₯‰18 Β· ⭐ 680) - XAI - An eXplainability toolbox for machine learning. MIT +
tcav (πŸ₯‰18 Β· ⭐ 500) - Code for the TCAV ML interpretability project. Apache-2 -- [GitHub](https://github.com/EthicalML/xai) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 100 Β· πŸ“¦ 11 Β· πŸ“‹ 7 - 57% open Β· ⏱️ 23.04.2021): +- [GitHub](https://github.com/tensorflow/tcav) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“¦ 11 Β· πŸ“‹ 55 - 5% open Β· ⏱️ 16.09.2021): ``` - git clone https://github.com/EthicalML/xai + git clone https://github.com/tensorflow/tcav ``` -- [PyPi](https://pypi.org/project/xai) (πŸ“₯ 370 / month Β· πŸ“¦ 6 Β· ⏱️ 21.04.2019): +- [PyPi](https://pypi.org/project/tcav) (πŸ“₯ 91 / month Β· πŸ“¦ 2 Β· ⏱️ 23.02.2021): ``` - pip install xai + pip install tcav ```
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tcav (πŸ₯‰18 Β· ⭐ 480) - Code for the TCAV ML interpretability project. Apache-2 +
LOFO (πŸ₯‰18 Β· ⭐ 420) - Leave One Feature Out Importance. MIT -- [GitHub](https://github.com/tensorflow/tcav) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 110 Β· πŸ“¦ 9 Β· πŸ“‹ 54 - 3% open Β· ⏱️ 07.08.2021): +- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 48 Β· πŸ“¦ 6 Β· πŸ“‹ 17 - 35% open Β· ⏱️ 04.10.2021): ``` - git clone https://github.com/tensorflow/tcav + git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/tcav) (πŸ“₯ 88 / month Β· πŸ“¦ 2 Β· ⏱️ 23.02.2021): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 670 / month Β· ⏱️ 04.10.2021): ``` - pip install tcav + pip install lofo-importance ```
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ecco (πŸ₯‰17 Β· ⭐ 870) - Visualize and explore NLP language models. Ecco creates interactive.. BSD-3 +
ecco (πŸ₯‰17 Β· ⭐ 920) - Visualize and explore NLP language models. Ecco creates interactive.. BSD-3 -- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 52 Β· πŸ“₯ 2 Β· πŸ“¦ 3 Β· πŸ“‹ 20 - 55% open Β· ⏱️ 02.08.2021): +- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 57 Β· πŸ“₯ 2 Β· πŸ“¦ 3 Β· πŸ“‹ 23 - 52% open Β· ⏱️ 29.10.2021): ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 310 / month Β· ⏱️ 02.08.2021): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 450 / month Β· ⏱️ 02.08.2021): ``` pip install ecco ```
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FlashTorch (πŸ₯‰16 Β· ⭐ 620) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT +
iNNvestigate (πŸ₯‰17 Β· ⭐ 910) - A toolbox to iNNvestigate neural networks' predictions!. BSD-2 -- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 71 Β· πŸ“¦ 7 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 27.04.2021): +- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 200 Β· πŸ“‹ 230 - 31% open Β· ⏱️ 03.08.2021): ``` - git clone https://github.com/MisaOgura/flashtorch + git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 190 / month Β· ⏱️ 29.05.2020): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 380 / month Β· πŸ“¦ 1 Β· ⏱️ 14.11.2020): ``` - pip install flashtorch + pip install innvestigate ```
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Anchor (πŸ₯‰14 Β· ⭐ 660) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 +
Anchor (πŸ₯‰16 Β· ⭐ 670 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 -- [GitHub](https://github.com/marcotcr/anchor) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 88 Β· πŸ“‹ 66 - 27% open Β· ⏱️ 19.04.2021): +- [GitHub](https://github.com/marcotcr/anchor) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 93 Β· πŸ“‹ 66 - 27% open Β· ⏱️ 19.04.2021): ``` git clone https://github.com/marcotcr/anchor ``` -- [PyPi](https://pypi.org/project/anchor_exp) (πŸ“₯ 880 / month Β· ⏱️ 26.06.2020): +- [PyPi](https://pypi.org/project/anchor_exp) (πŸ“₯ 1.2K / month Β· ⏱️ 26.06.2020): ``` pip install anchor_exp ```
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Show 15 hidden projects... +
FlashTorch (πŸ₯‰15 Β· ⭐ 630 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT + +- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 75 Β· πŸ“¦ 7 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 27.04.2021): + + ``` + git clone https://github.com/MisaOgura/flashtorch + ``` +- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 240 / month Β· ⏱️ 29.05.2020): + ``` + pip install flashtorch + ``` +
+
Show 12 hidden projects... -- eli5 (πŸ₯ˆ27 Β· ⭐ 2.4K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT -- scikit-plot (πŸ₯ˆ26 Β· ⭐ 2.1K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT +- eli5 (πŸ₯ˆ26 Β· ⭐ 2.5K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT +- scikit-plot (πŸ₯ˆ25 Β· ⭐ 2.2K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT - keras-vis (πŸ₯ˆ24 Β· ⭐ 2.9K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT -- DALEX (πŸ₯‰20 Β· ⭐ 880) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 -- imodels (πŸ₯‰20 Β· ⭐ 250) - Interpretable ML package for concise, transparent, and accurate predictive.. MIT -- Skater (πŸ₯‰19 Β· ⭐ 1K Β· πŸ’€) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- responsible-ai-widgets (πŸ₯‰19 Β· ⭐ 250) - This project provides responsible AI user interfaces.. MIT -- fairness-indicators (πŸ₯‰19 Β· ⭐ 220) - Tensorflow's Fairness Evaluation and Visualization.. Apache-2 -- model-card-toolkit (πŸ₯‰18 Β· ⭐ 210) - a tool that leverages rich metadata and lineage.. Apache-2 -- LOFO (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Leave One Feature Out Importance. MIT -- interpret-text (πŸ₯‰15 Β· ⭐ 260) - A library that incorporates state-of-the-art explainers for.. MIT -- ExplainX.ai (πŸ₯‰15 Β· ⭐ 220) - Explainable AI framework for data scientists. Explain & debug any.. MIT -- contextual-ai (πŸ₯‰14 Β· ⭐ 72 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 -- Attribution Priors (πŸ₯‰13 Β· ⭐ 85) - Tools for training explainable models using.. MIT -- bias-detector (πŸ₯‰13 Β· ⭐ 34 Β· 🐣) - Bias Detector is a python package for detecting bias in machine.. MIT +- Skater (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 +- DALEX (πŸ₯‰21 Β· ⭐ 950) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 +- fairness-indicators (πŸ₯‰19 Β· ⭐ 240) - Tensorflow's Fairness Evaluation and Visualization.. Apache-2 +- model-card-toolkit (πŸ₯‰19 Β· ⭐ 240) - a tool that leverages rich metadata and lineage.. Apache-2 +- interpret-text (πŸ₯‰15 Β· ⭐ 280 Β· πŸ’€) - A library that incorporates state-of-the-art explainers.. MIT +- ExplainX.ai (πŸ₯‰15 Β· ⭐ 240 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT +- contextual-ai (πŸ₯‰14 Β· ⭐ 72) - Contextual AI adds explainability to different stages of.. Apache-2 +- Attribution Priors (πŸ₯‰13 Β· ⭐ 89 Β· πŸ’€) - Tools for training explainable models using.. MIT +- bias-detector (πŸ₯‰12 Β· ⭐ 35) - Bias Detector is a python package for detecting bias in machine.. MIT

@@ -7384,116 +7384,116 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search._ -πŸ”— ANN Benchmarks ( ⭐ 2.4K) - Benchmarks of approximate nearest neighbor libraries in Python. +πŸ”— ANN Benchmarks ( ⭐ 2.6K) - Benchmarks of approximate nearest neighbor libraries in Python. -
Annoy (πŸ₯‡30 Β· ⭐ 8.9K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 +
Annoy (πŸ₯‡30 Β· ⭐ 9.2K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 -- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 930 Β· πŸ“¦ 1.7K Β· πŸ“‹ 330 - 11% open Β· ⏱️ 17.08.2021): +- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 950 Β· πŸ“¦ 1.8K Β· πŸ“‹ 340 - 10% open Β· ⏱️ 18.10.2021): ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 690K / month Β· πŸ“¦ 360 Β· ⏱️ 18.09.2020): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 740K / month Β· πŸ“¦ 360 Β· ⏱️ 18.09.2020): ``` pip install annoy ```
-
Faiss (πŸ₯‡29 Β· ⭐ 14K) - A library for efficient similarity search and clustering of dense vectors. MIT +
Milvus (πŸ₯‡29 Β· ⭐ 8.8K Β· πŸ“ˆ) - An open-source vector database for embedding similarity search.. Apache-2 -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 2.3K Β· πŸ“¦ 450 Β· πŸ“‹ 1.6K - 11% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.3K Β· πŸ“₯ 4.3K Β· πŸ“‹ 4K - 5% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/facebookresearch/faiss + git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 29K / month Β· πŸ“¦ 6 Β· ⏱️ 11.08.2021): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 18K / month Β· πŸ“¦ 6 Β· ⏱️ 01.11.2021): ``` pip install pymilvus ``` -- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 160K Β· ⏱️ 19.04.2021): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 610K Β· ⭐ 15 Β· ⏱️ 05.11.2021): ``` - conda install -c conda-forge faiss + docker pull milvusdb/milvus ```
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NMSLIB (πŸ₯ˆ28 Β· ⭐ 2.5K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 +
NMSLIB (πŸ₯ˆ28 Β· ⭐ 2.6K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 -- [GitHub](https://github.com/nmslib/nmslib) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 360 Β· πŸ“¦ 450 Β· πŸ“‹ 380 - 14% open Β· ⏱️ 14.07.2021): +- [GitHub](https://github.com/nmslib/nmslib) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 370 Β· πŸ“¦ 500 Β· πŸ“‹ 390 - 14% open Β· ⏱️ 19.09.2021): ``` git clone https://github.com/nmslib/nmslib ``` -- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 94K / month Β· πŸ“¦ 52 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 93K / month Β· πŸ“¦ 52 Β· ⏱️ 03.02.2021): ``` pip install nmslib ``` -- [Conda](https://anaconda.org/conda-forge/nmslib) (πŸ“₯ 39K Β· ⏱️ 08.01.2021): +- [Conda](https://anaconda.org/conda-forge/nmslib) (πŸ“₯ 44K Β· ⏱️ 08.01.2021): ``` conda install -c conda-forge nmslib ```
-
Milvus (πŸ₯ˆ26 Β· ⭐ 7.5K) - An open-source vector database for embedding similarity search and AI.. Apache-2 +
Faiss (πŸ₯ˆ27 Β· ⭐ 15K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1K Β· πŸ“‹ 3.2K - 10% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 2.4K Β· πŸ“¦ 500 Β· πŸ“‹ 1.6K - 13% open Β· ⏱️ 19.10.2021): ``` - git clone https://github.com/milvus-io/milvus + git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 29K / month Β· πŸ“¦ 6 Β· ⏱️ 11.08.2021): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 18K / month Β· πŸ“¦ 6 Β· ⏱️ 01.11.2021): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 460K Β· ⭐ 14 Β· ⏱️ 11.08.2021): +- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 210K Β· ⏱️ 09.11.2021): ``` - docker pull milvusdb/milvus + conda install -c conda-forge faiss ```
-
hnswlib (πŸ₯ˆ26 Β· ⭐ 1.7K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 +
hnswlib (πŸ₯ˆ27 Β· ⭐ 1.8K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 300 Β· πŸ“¦ 150 Β· πŸ“‹ 220 - 47% open Β· ⏱️ 30.06.2021): +- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 320 Β· πŸ“¦ 160 Β· πŸ“‹ 230 - 49% open Β· ⏱️ 30.06.2021): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 41K / month Β· πŸ“¦ 2 Β· ⏱️ 30.06.2021): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 100K / month Β· πŸ“¦ 2 Β· ⏱️ 30.06.2021): ``` pip install hnswlib ```
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PyNNDescent (πŸ₯ˆ26 Β· ⭐ 470) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 +
PyNNDescent (πŸ₯ˆ27 Β· ⭐ 520) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 60 Β· πŸ“¦ 720 Β· πŸ“‹ 75 - 44% open Β· ⏱️ 27.07.2021): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 67 Β· πŸ“¦ 960 Β· πŸ“‹ 86 - 45% open Β· ⏱️ 22.10.2021): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 650K / month Β· πŸ“¦ 6 Β· ⏱️ 06.07.2021): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.7M / month Β· πŸ“¦ 6 Β· ⏱️ 15.10.2021): ``` pip install pynndescent ``` -- [Conda](https://anaconda.org/conda-forge/pynndescent) (πŸ“₯ 230K Β· ⏱️ 06.07.2021): +- [Conda](https://anaconda.org/conda-forge/pynndescent) (πŸ“₯ 390K Β· ⏱️ 15.10.2021): ``` conda install -c conda-forge pynndescent ```
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NGT (πŸ₯‰20 Β· ⭐ 770) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 +
NGT (πŸ₯‰19 Β· ⭐ 820) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 -- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 78 Β· πŸ“‹ 81 - 8% open Β· ⏱️ 15.07.2021): +- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 81 Β· πŸ“‹ 82 - 8% open Β· ⏱️ 25.10.2021): ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 13K / month Β· πŸ“¦ 6 Β· ⏱️ 23.09.2020): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 16K / month Β· πŸ“¦ 6 Β· ⏱️ 23.09.2020): ``` pip install ngt ```
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N2 (πŸ₯‰19 Β· ⭐ 480) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast.. Apache-2 +
N2 (πŸ₯‰18 Β· ⭐ 500) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast.. Apache-2 -- [GitHub](https://github.com/kakao/n2) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 52 Β· πŸ“¦ 17 Β· πŸ“‹ 39 - 43% open Β· ⏱️ 20.05.2021): +- [GitHub](https://github.com/kakao/n2) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 60 Β· πŸ“¦ 20 Β· πŸ“‹ 39 - 43% open Β· ⏱️ 20.05.2021): ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 1.8K / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 730 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ``` @@ -7501,8 +7501,8 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Show 3 hidden projects... - Magnitude (πŸ₯‰22 Β· ⭐ 1.5K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT -- NearPy (πŸ₯‰20 Β· ⭐ 680 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT -- PySparNN (πŸ₯‰11 Β· ⭐ 880 Β· πŸ’€) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3 +- NearPy (πŸ₯‰21 Β· ⭐ 690 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT +- PySparNN (πŸ₯‰11 Β· ⭐ 890 Β· πŸ’€) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3

@@ -7512,222 +7512,226 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit _Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._ -
Pyro (πŸ₯‡29 Β· ⭐ 7.1K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 - -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 850 Β· πŸ“¦ 520 Β· πŸ“‹ 880 - 18% open Β· ⏱️ 20.08.2021): - - ``` - git clone https://github.com/pyro-ppl/pyro - ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 63K / month Β· πŸ“¦ 36 Β· ⏱️ 07.07.2021): - ``` - pip install pyro-ppl - ``` -
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PyMC3 (πŸ₯‡29 Β· ⭐ 6K) - Probabilistic Programming in Python: Bayesian Modeling and Probabilistic.. Apache-2 +
patsy (πŸ₯‡30 Β· ⭐ 810) - Describing statistical models in Python using symbolic formulas. BSD-2 -- [GitHub](https://github.com/pymc-devs/pymc3) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.4K Β· πŸ“₯ 170 Β· πŸ“¦ 2.9K Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 94 Β· πŸ“¦ 43K Β· πŸ“‹ 140 - 51% open Β· ⏱️ 26.09.2021): ``` - git clone https://github.com/pymc-devs/pymc3 + git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 280K / month Β· πŸ“¦ 290 Β· ⏱️ 24.08.2021): +- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 4.4M / month Β· πŸ“¦ 4.9K Β· ⏱️ 26.09.2021): ``` - pip install pymc3 + pip install patsy ``` -- [Conda](https://anaconda.org/conda-forge/pymc3) (πŸ“₯ 310K Β· ⏱️ 24.08.2021): +- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 3.9M Β· ⏱️ 26.09.2021): ``` - conda install -c conda-forge pymc3 + conda install -c conda-forge patsy ```
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tensorflow-probability (πŸ₯‡29 Β· ⭐ 3.4K) - Probabilistic reasoning and statistical analysis in.. Apache-2 +
Pyro (πŸ₯‡29 Β· ⭐ 7.2K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 900 Β· πŸ“‹ 1.1K - 44% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“¦ 570 Β· πŸ“‹ 910 - 19% open Β· ⏱️ 11.11.2021): ``` - git clone https://github.com/tensorflow/probability - ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 3.8M / month Β· πŸ“¦ 250 Β· ⏱️ 18.06.2021): - ``` - pip install tensorflow-probability + git clone https://github.com/pyro-ppl/pyro ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (πŸ“₯ 42K Β· ⏱️ 21.06.2021): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 73K / month Β· πŸ“¦ 36 Β· ⏱️ 07.07.2021): ``` - conda install -c conda-forge tensorflow-probability + pip install pyro-ppl ```
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GPyTorch (πŸ₯‡29 Β· ⭐ 2.5K) - A highly efficient and modular implementation of Gaussian Processes.. MIT +
GPyTorch (πŸ₯‡29 Β· ⭐ 2.6K) - A highly efficient and modular implementation of Gaussian Processes.. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 360 Β· πŸ“¦ 360 Β· πŸ“‹ 960 - 22% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 390 Β· πŸ“¦ 430 Β· πŸ“‹ 1K - 23% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 81K / month Β· πŸ“¦ 8 Β· ⏱️ 24.06.2021): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 190K / month Β· πŸ“¦ 8 Β· ⏱️ 02.09.2021): ``` pip install gpytorch ```
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hmmlearn (πŸ₯‡29 Β· ⭐ 2.3K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 +
hmmlearn (πŸ₯‡29 Β· ⭐ 2.4K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 660 Β· πŸ“¦ 1.1K Β· πŸ“‹ 360 - 15% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 660 Β· πŸ“¦ 1.1K Β· πŸ“‹ 360 - 14% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 110K / month Β· πŸ“¦ 210 Β· ⏱️ 18.07.2021): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 360K / month Β· πŸ“¦ 210 Β· ⏱️ 18.07.2021): ``` pip install hmmlearn ``` -- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 96K Β· ⏱️ 18.07.2021): +- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 100K Β· ⏱️ 13.11.2021): ``` conda install -c conda-forge hmmlearn ```
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filterpy (πŸ₯‡29 Β· ⭐ 1.9K) - Python Kalman filtering and optimal estimation library. Implements.. MIT +
filterpy (πŸ₯‡29 Β· ⭐ 2K) - Python Kalman filtering and optimal estimation library. Implements Kalman.. MIT -- [GitHub](https://github.com/rlabbe/filterpy) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 440 Β· πŸ“¦ 990 Β· πŸ“‹ 190 - 18% open Β· ⏱️ 04.05.2021): +- [GitHub](https://github.com/rlabbe/filterpy) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 460 Β· πŸ“¦ 1.1K Β· πŸ“‹ 190 - 19% open Β· ⏱️ 04.05.2021): ``` git clone https://github.com/rlabbe/filterpy ``` -- [PyPi](https://pypi.org/project/filterpy) (πŸ“₯ 620K / month Β· πŸ“¦ 210 Β· ⏱️ 10.10.2018): +- [PyPi](https://pypi.org/project/filterpy) (πŸ“₯ 720K / month Β· πŸ“¦ 210 Β· ⏱️ 10.10.2018): ``` pip install filterpy ``` -- [Conda](https://anaconda.org/conda-forge/filterpy) (πŸ“₯ 66K Β· ⏱️ 05.05.2020): +- [Conda](https://anaconda.org/conda-forge/filterpy) (πŸ“₯ 69K Β· ⏱️ 05.05.2020): ``` conda install -c conda-forge filterpy ```
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pomegranate (πŸ₯ˆ27 Β· ⭐ 2.7K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT +
PyMC3 (πŸ₯ˆ28 Β· ⭐ 6.2K) - Probabilistic Programming in Python: Bayesian Modeling and.. Apache-2 -- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 500 Β· πŸ“¦ 510 Β· πŸ“‹ 630 - 9% open Β· ⏱️ 26.07.2021): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.4K Β· πŸ“₯ 880 Β· πŸ“¦ 560 Β· πŸ“‹ 2.5K - 9% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/jmschrei/pomegranate + git clone https://github.com/pymc-devs/pymc3 ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 52K / month Β· πŸ“¦ 56 Β· ⏱️ 29.03.2021): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 290K / month Β· πŸ“¦ 290 Β· ⏱️ 24.08.2021): ``` - pip install pomegranate + pip install pymc3 ``` -- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 69K Β· ⏱️ 01.11.2020): +- [Conda](https://anaconda.org/conda-forge/pymc3) (πŸ“₯ 340K Β· ⏱️ 12.10.2021): ``` - conda install -c conda-forge pomegranate + conda install -c conda-forge pymc3 + ``` +
+
tensorflow-probability (πŸ₯ˆ28 Β· ⭐ 3.5K) - Probabilistic reasoning and statistical analysis in.. Apache-2 + +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 950 Β· πŸ“‹ 1.2K - 45% open Β· ⏱️ 17.11.2021): + + ``` + git clone https://github.com/tensorflow/probability + ``` +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.4M / month Β· πŸ“¦ 250 Β· ⏱️ 17.11.2021): + ``` + pip install tensorflow-probability + ``` +- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (πŸ“₯ 47K Β· ⏱️ 22.10.2021): + ``` + conda install -c conda-forge tensorflow-probability ```
GPflow (πŸ₯ˆ27 Β· ⭐ 1.5K) - Gaussian processes in TensorFlow. Apache-2 -- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 400 Β· πŸ“¦ 280 Β· πŸ“‹ 720 - 14% open Β· ⏱️ 06.07.2021): +- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 410 Β· πŸ“¦ 310 Β· πŸ“‹ 740 - 16% open Β· ⏱️ 27.10.2021): ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 5.7K / month Β· πŸ“¦ 34 Β· ⏱️ 29.04.2021): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 7.6K / month Β· πŸ“¦ 34 Β· ⏱️ 26.10.2021): ``` pip install gpflow ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 9.5K Β· ⏱️ 06.11.2018): +- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 9.7K Β· ⏱️ 06.11.2018): ``` conda install -c conda-forge gpflow ```
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SALib (πŸ₯‰26 Β· ⭐ 510) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT +
pomegranate (πŸ₯ˆ26 Β· ⭐ 2.8K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 160 Β· πŸ“‹ 260 - 18% open Β· ⏱️ 14.08.2021): +- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 500 Β· πŸ“¦ 570 Β· πŸ“‹ 660 - 8% open Β· ⏱️ 01.11.2021): ``` - git clone https://github.com/SALib/SALib + git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 79K / month Β· πŸ“¦ 44 Β· ⏱️ 12.08.2021): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 42K / month Β· πŸ“¦ 56 Β· ⏱️ 01.11.2021): ``` - pip install salib + pip install pomegranate ``` -- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 68K Β· ⏱️ 12.08.2021): +- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 75K Β· ⏱️ 16.11.2021): ``` - conda install -c conda-forge salib + conda install -c conda-forge pomegranate ```
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pgmpy (πŸ₯‰25 Β· ⭐ 1.9K) - Python Library for learning (Structure and Parameter) and inference.. MIT +
pgmpy (πŸ₯ˆ26 Β· ⭐ 1.9K) - Python Library for learning (Structure and Parameter) and inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 580 Β· πŸ“₯ 96 Β· πŸ“¦ 260 Β· πŸ“‹ 760 - 29% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 610 Β· πŸ“₯ 110 Β· πŸ“¦ 280 Β· πŸ“‹ 760 - 27% open Β· ⏱️ 02.11.2021): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 38K / month Β· πŸ“¦ 12 Β· ⏱️ 30.06.2021): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 71K / month Β· πŸ“¦ 12 Β· ⏱️ 30.09.2021): ``` pip install pgmpy ```
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pandas-ta (πŸ₯‰25 Β· ⭐ 1.5K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT +
pandas-ta (πŸ₯ˆ26 Β· ⭐ 1.8K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT -- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 370 Β· πŸ“¦ 210 Β· πŸ“‹ 260 - 12% open Β· ⏱️ 28.07.2021): +- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 420 Β· πŸ“¦ 310 Β· πŸ“‹ 310 - 18% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/twopirllc/pandas-ta ``` -- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 32K / month Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 97K / month Β· ⏱️ 28.07.2021): ``` pip install pandas-ta ```
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Orbit (πŸ₯‰20 Β· ⭐ 650) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 +
SALib (πŸ₯ˆ26 Β· ⭐ 540) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 48 Β· πŸ“¦ 4 Β· πŸ“‹ 250 - 16% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 160 Β· πŸ“‹ 270 - 18% open Β· ⏱️ 25.09.2021): ``` - git clone https://github.com/uber/orbit + git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 4.2K / month Β· ⏱️ 02.08.2021): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 88K / month Β· πŸ“¦ 44 Β· ⏱️ 04.09.2021): ``` - pip install orbit-ml + pip install salib + ``` +- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 73K Β· ⏱️ 04.09.2021): + ``` + conda install -c conda-forge salib ```
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pyhsmm (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Bayesian inference in HSMMs and HMMs. MIT +
Orbit (πŸ₯‰20 Β· ⭐ 720) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 -- [GitHub](https://github.com/mattjj/pyhsmm) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 160 Β· πŸ“¦ 21 Β· πŸ“‹ 99 - 39% open Β· ⏱️ 24.08.2020): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 53 Β· πŸ“¦ 5 Β· πŸ“‹ 290 - 15% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/mattjj/pyhsmm + git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/pyhsmm) (πŸ“₯ 220 / month Β· πŸ“¦ 8 Β· ⏱️ 10.05.2017): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 2.4K / month Β· ⏱️ 30.08.2021): ``` - pip install pyhsmm + pip install orbit-ml ```
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bambi (πŸ₯‰18 Β· ⭐ 660) - BAyesian Model-Building Interface (Bambi) in Python. MIT +
bambi (πŸ₯‰20 Β· ⭐ 700) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 61 Β· πŸ“¦ 13 Β· πŸ“‹ 190 - 12% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 64 Β· πŸ“¦ 14 Β· πŸ“‹ 210 - 14% open Β· ⏱️ 14.11.2021): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 690 / month Β· πŸ“¦ 3 Β· ⏱️ 24.08.2021): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 1.1K / month Β· πŸ“¦ 3 Β· ⏱️ 17.09.2021): ``` pip install bambi ```
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Baal (πŸ₯‰18 Β· ⭐ 380) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 +
Baal (πŸ₯‰17 Β· ⭐ 460) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 -- [GitHub](https://github.com/ElementAI/baal) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 35 Β· πŸ“¦ 9 Β· πŸ“‹ 49 - 24% open Β· ⏱️ 16.08.2021): +- [GitHub](https://github.com/ElementAI/baal) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 45 Β· πŸ“‹ 56 - 23% open Β· ⏱️ 01.11.2021): ``` git clone https://github.com/ElementAI/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 290 / month Β· ⏱️ 06.08.2021): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 530 / month Β· ⏱️ 12.10.2021): ``` pip install baal ```
Show 8 hidden projects... -- patsy (πŸ₯‡29 Β· ⭐ 790 Β· πŸ’€) - Describing statistical models in Python using symbolic formulas. BSD-2 -- pingouin (πŸ₯‰26 Β· ⭐ 780) - Statistical package in Python based on Pandas. ❗️GPL-3.0 -- Edward (πŸ₯‰25 Β· ⭐ 4.6K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 -- PyStan (πŸ₯‰23 Β· ⭐ 100) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC -- scikit-posthocs (πŸ₯‰21 Β· ⭐ 220) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT -- Funsor (πŸ₯‰20 Β· ⭐ 180) - Functional tensors for probabilistic programming. Apache-2 +- pingouin (πŸ₯ˆ26 Β· ⭐ 840) - Statistical package in Python based on Pandas. ❗️GPL-3.0 +- Edward (πŸ₯‰25 Β· ⭐ 4.7K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 +- PyStan (πŸ₯‰23 Β· ⭐ 140) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC +- pyhsmm (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Bayesian inference in HSMMs and HMMs. MIT +- scikit-posthocs (πŸ₯‰20 Β· ⭐ 220) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT +- Funsor (πŸ₯‰19 Β· ⭐ 180) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (πŸ₯‰14 Β· ⭐ 2.1K Β· πŸ’€) - A probabilistic programming library for Bayesian deep learning,.. MIT - Lea (πŸ₯‰10 Β· πŸ’€) - Discrete probability distributions in Python. ❗️GPL-3.0
@@ -7739,83 +7743,83 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes _Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._ -
CleverHans (πŸ₯‡27 Β· ⭐ 5.2K) - An adversarial example library for constructing attacks,.. MIT +
CleverHans (πŸ₯‡28 Β· ⭐ 5.3K) - An adversarial example library for constructing attacks,.. MIT -- [GitHub](https://github.com/cleverhans-lab/cleverhans) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.3K Β· πŸ“¦ 250 Β· πŸ“‹ 440 - 5% open Β· ⏱️ 24.07.2021): +- [GitHub](https://github.com/cleverhans-lab/cleverhans) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.3K Β· πŸ“¦ 270 Β· πŸ“‹ 450 - 5% open Β· ⏱️ 23.09.2021): ``` git clone https://github.com/cleverhans-lab/cleverhans ``` -- [PyPi](https://pypi.org/project/cleverhans) (πŸ“₯ 840 / month Β· πŸ“¦ 16 Β· ⏱️ 24.07.2021): +- [PyPi](https://pypi.org/project/cleverhans) (πŸ“₯ 1.9K / month Β· πŸ“¦ 16 Β· ⏱️ 24.07.2021): ``` pip install cleverhans ```
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Foolbox (πŸ₯ˆ26 Β· ⭐ 2K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT +
Foolbox (πŸ₯ˆ26 Β· ⭐ 2.1K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT -- [GitHub](https://github.com/bethgelab/foolbox) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 360 Β· πŸ“¦ 230 Β· πŸ“‹ 330 - 17% open Β· ⏱️ 05.06.2021): +- [GitHub](https://github.com/bethgelab/foolbox) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 370 Β· πŸ“¦ 250 Β· πŸ“‹ 330 - 18% open Β· ⏱️ 05.06.2021): ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 1.7K / month Β· πŸ“¦ 18 Β· ⏱️ 23.02.2021): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.7K / month Β· πŸ“¦ 18 Β· ⏱️ 23.02.2021): ``` pip install foolbox ```
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TextAttack (πŸ₯ˆ26 Β· ⭐ 1.6K) - TextAttack is a Python framework for adversarial attacks, data.. MIT +
TextAttack (πŸ₯ˆ25 Β· ⭐ 1.7K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 200 Β· πŸ“¦ 28 Β· πŸ“‹ 140 - 30% open Β· ⏱️ 21.08.2021): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 210 Β· πŸ“¦ 38 Β· πŸ“‹ 170 - 22% open Β· ⏱️ 13.11.2021): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 13K / month Β· ⏱️ 03.08.2021): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 2.8K / month Β· ⏱️ 10.11.2021): ``` pip install textattack ```
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ART (πŸ₯ˆ23 Β· ⭐ 2.4K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT +
ART (πŸ₯ˆ23 Β· ⭐ 2.6K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 680 Β· πŸ“¦ 150 Β· πŸ“‹ 570 - 11% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 710 Β· πŸ“¦ 170 Β· πŸ“‹ 600 - 11% open Β· ⏱️ 04.11.2021): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 3.7K / month Β· ⏱️ 12.07.2021): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 6.5K / month Β· ⏱️ 15.10.2021): ``` pip install adversarial-robustness-toolbox ```
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robustness (πŸ₯‰19 Β· ⭐ 580) - A library for experimenting with, training and evaluating neural.. MIT +
AdvBox (πŸ₯‰18 Β· ⭐ 1.2K) - Advbox is a toolbox to generate adversarial examples that fool neural.. Apache-2 -- [GitHub](https://github.com/MadryLab/robustness) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“¦ 59 Β· πŸ“‹ 62 - 14% open Β· ⏱️ 04.03.2021): +- [GitHub](https://github.com/advboxes/AdvBox) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“‹ 37 - 21% open Β· ⏱️ 03.05.2021): ``` - git clone https://github.com/MadryLab/robustness + git clone https://github.com/advboxes/AdvBox ``` -- [PyPi](https://pypi.org/project/robustness) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 01.12.2020): +- [PyPi](https://pypi.org/project/advbox) (πŸ“₯ 91 / month Β· ⏱️ 05.12.2018): ``` - pip install robustness + pip install advbox ```
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AdvBox (πŸ₯‰18 Β· ⭐ 1.1K) - Advbox is a toolbox to generate adversarial examples that fool neural.. Apache-2 +
robustness (πŸ₯‰18 Β· ⭐ 620 Β· πŸ’€) - A library for experimenting with, training and evaluating neural.. MIT -- [GitHub](https://github.com/advboxes/AdvBox) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“‹ 37 - 21% open Β· ⏱️ 03.05.2021): +- [GitHub](https://github.com/MadryLab/robustness) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 120 Β· πŸ“¦ 65 Β· πŸ“‹ 66 - 18% open Β· ⏱️ 04.03.2021): ``` - git clone https://github.com/advboxes/AdvBox + git clone https://github.com/MadryLab/robustness ``` -- [PyPi](https://pypi.org/project/advbox) (πŸ“₯ 48 / month Β· ⏱️ 05.12.2018): +- [PyPi](https://pypi.org/project/robustness) (πŸ“₯ 660 / month Β· πŸ“¦ 2 Β· ⏱️ 01.12.2020): ``` - pip install advbox + pip install robustness ```
Show 3 hidden projects... -- advertorch (πŸ₯‰20 Β· ⭐ 910) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 -- textflint (πŸ₯‰15 Β· ⭐ 490 Β· 🐣) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 -- Adversary (πŸ₯‰14 Β· ⭐ 350 Β· πŸ’€) - Tool to generate adversarial text examples and test machine.. MIT +- advertorch (πŸ₯‰19 Β· ⭐ 960) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 +- textflint (πŸ₯‰16 Β· ⭐ 520) - Unified Multilingual Robustness Evaluation Toolkit for Natural.. ❗️GPL-3.0 +- Adversary (πŸ₯‰14 Β· ⭐ 360 Β· πŸ’€) - Tool to generate adversarial text examples and test machine.. MIT

@@ -7825,161 +7829,161 @@ _Libraries for testing the robustness of machine learning models against attacks _Libraries that require and make use of CUDA/GPU system capabilities to optimize data handling and machine learning tasks._ -
CuPy (πŸ₯‡32 Β· ⭐ 5.3K) - NumPy & SciPy for GPU. MIT +
CuPy (πŸ₯‡32 Β· ⭐ 5.5K) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 490 Β· πŸ“₯ 18K Β· πŸ“¦ 800 Β· πŸ“‹ 1.5K - 21% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 510 Β· πŸ“₯ 23K Β· πŸ“¦ 870 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 75K / month Β· πŸ“¦ 190 Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 100K / month Β· πŸ“¦ 190 Β· ⏱️ 10.11.2021): ``` pip install cupy ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 850K Β· ⏱️ 07.08.2021): +- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 1M Β· ⏱️ 12.11.2021): ``` conda install -c conda-forge cupy ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 52K Β· ⭐ 6 Β· ⏱️ 26.08.2021): +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 53K Β· ⭐ 7 Β· ⏱️ 11.11.2021): ``` docker pull cupy/cupy ```
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gpustat (πŸ₯‡28 Β· ⭐ 2.5K) - A simple command-line utility for querying and monitoring GPU status. MIT +
gpustat (πŸ₯‡27 Β· ⭐ 2.6K) - A simple command-line utility for querying and monitoring GPU status. MIT -- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 200 Β· πŸ“¦ 1.1K Β· πŸ“‹ 76 - 28% open Β· ⏱️ 05.08.2021): +- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 200 Β· πŸ“¦ 1.4K Β· πŸ“‹ 77 - 28% open Β· ⏱️ 13.08.2021): ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 600K / month Β· πŸ“¦ 58 Β· ⏱️ 02.01.2021): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 340K / month Β· πŸ“¦ 58 Β· ⏱️ 02.01.2021): ``` pip install gpustat ``` -- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 68K Β· ⏱️ 24.11.2020): +- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 91K Β· ⏱️ 24.11.2020): ``` conda install -c conda-forge gpustat ```
PyCUDA (πŸ₯ˆ25 Β· ⭐ 1.2K) - CUDA integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 240 Β· πŸ“¦ 970 Β· πŸ“‹ 200 - 27% open Β· ⏱️ 27.07.2021): +- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 240 Β· πŸ“¦ 1.1K Β· πŸ“‹ 210 - 30% open Β· ⏱️ 07.10.2021): ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 29K / month Β· πŸ“¦ 290 Β· ⏱️ 03.04.2021): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 31K / month Β· πŸ“¦ 290 Β· ⏱️ 03.04.2021): ``` pip install pycuda ```
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Apex (πŸ₯ˆ23 Β· ⭐ 5.7K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 +
Apex (πŸ₯ˆ23 Β· ⭐ 5.9K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 780 Β· πŸ“¦ 680 Β· πŸ“‹ 880 - 56% open Β· ⏱️ 20.08.2021): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 860 Β· πŸ“¦ 790 Β· πŸ“‹ 920 - 57% open Β· ⏱️ 10.11.2021): ``` git clone https://github.com/NVIDIA/apex ``` -- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 60K Β· ⏱️ 22.04.2021): +- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 68K Β· ⏱️ 22.04.2021): ``` conda install -c conda-forge nvidia-apex ```
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scikit-cuda (πŸ₯ˆ23 Β· ⭐ 850) - Python interface to GPU-powered libraries. BSD-3 +
ArrayFire (πŸ₯ˆ22 Β· ⭐ 3.7K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/lebedov/scikit-cuda) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 160 Β· πŸ“¦ 140 Β· πŸ“‹ 210 - 22% open Β· ⏱️ 13.07.2021): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 490 Β· πŸ“₯ 1.7K Β· πŸ“‹ 1.5K - 15% open Β· ⏱️ 15.10.2021): ``` - git clone https://github.com/lebedov/scikit-cuda + git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 1K / month Β· πŸ“¦ 70 Β· ⏱️ 27.05.2019): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 460 / month Β· πŸ“¦ 8 Β· ⏱️ 05.03.2021): ``` - pip install scikit-cuda + pip install arrayfire ```
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ArrayFire (πŸ₯‰22 Β· ⭐ 3.6K) - ArrayFire: a general purpose GPU library. BSD-3 +
scikit-cuda (πŸ₯ˆ22 Β· ⭐ 860) - Python interface to GPU-powered libraries. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 480 Β· πŸ“₯ 1.4K Β· πŸ“‹ 1.5K - 16% open Β· ⏱️ 18.08.2021): +- [GitHub](https://github.com/lebedov/scikit-cuda) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 170 Β· πŸ“¦ 140 Β· πŸ“‹ 220 - 23% open Β· ⏱️ 13.07.2021): ``` - git clone https://github.com/arrayfire/arrayfire + git clone https://github.com/lebedov/scikit-cuda ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 500 / month Β· πŸ“¦ 8 Β· ⏱️ 05.03.2021): +- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 960 / month Β· πŸ“¦ 70 Β· ⏱️ 27.05.2019): ``` - pip install arrayfire + pip install scikit-cuda ```
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cuDF (πŸ₯‰20 Β· ⭐ 4.1K) - cuDF - GPU DataFrame Library. Apache-2 +
cuDF (πŸ₯‰20 Β· ⭐ 4.3K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 540 Β· πŸ“‹ 4K - 15% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 560 Β· πŸ“‹ 4.2K - 15% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 900 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 1.1K / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): ``` pip install cudf ```
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cuML (πŸ₯‰18 Β· ⭐ 2.3K) - cuML - RAPIDS Machine Learning Library. Apache-2 +
cuML (πŸ₯‰18 Β· ⭐ 2.4K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 350 Β· πŸ“‹ 1.9K - 33% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 540 / month Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 700 / month Β· ⏱️ 01.06.2020): ``` pip install cuml ```
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DALI (πŸ₯‰17 Β· ⭐ 3.4K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 +
DALI (πŸ₯‰17 Β· ⭐ 3.6K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 420 Β· πŸ“‹ 1K - 16% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 440 Β· πŸ“‹ 1.1K - 13% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/NVIDIA/DALI ```
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Vulkan Kompute (πŸ₯‰17 Β· ⭐ 470) - General purpose GPU compute framework for cross vendor.. Apache-2 +
BlazingSQL (πŸ₯‰17 Β· ⭐ 1.6K) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 -- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 38 Β· πŸ“₯ 75 Β· πŸ“¦ 2 Β· πŸ“‹ 150 - 36% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/BlazingDB/blazingsql) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 160 Β· πŸ“‹ 710 - 18% open Β· ⏱️ 30.09.2021): ``` - git clone https://github.com/EthicalML/vulkan-kompute + git clone https://github.com/BlazingDB/blazingsql ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 120 / month Β· ⏱️ 14.03.2021): +- [Conda](https://anaconda.org/blazingsql/blazingsql-protocol) (πŸ“₯ 940 Β· ⏱️ 11.11.2019): ``` - pip install kp + conda install -c blazingsql blazingsql-protocol ```
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BlazingSQL (πŸ₯‰16 Β· ⭐ 1.6K) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 +
cuGraph (πŸ₯‰17 Β· ⭐ 850) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/BlazingDB/blazingsql) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 150 Β· πŸ“‹ 720 - 18% open Β· ⏱️ 20.08.2021): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 160 Β· πŸ“‹ 750 - 11% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/BlazingDB/blazingsql + git clone https://github.com/rapidsai/cugraph ``` -- [Conda](https://anaconda.org/blazingsql/blazingsql-protocol) (πŸ“₯ 930 Β· ⏱️ 11.11.2019): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 190 / month Β· ⏱️ 01.06.2020): ``` - conda install -c blazingsql blazingsql-protocol + pip install cugraph ```
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cuGraph (πŸ₯‰16 Β· ⭐ 790) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 +
Vulkan Kompute (πŸ₯‰17 Β· ⭐ 600) - General purpose GPU compute framework for cross vendor.. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 150 Β· πŸ“‹ 710 - 15% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 49 Β· πŸ“₯ 100 Β· πŸ“¦ 2 Β· πŸ“‹ 160 - 32% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/rapidsai/cugraph + git clone https://github.com/EthicalML/vulkan-kompute ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 82 / month Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 110 / month Β· ⏱️ 15.09.2021): ``` - pip install cugraph + pip install kp ```
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cuSignal (πŸ₯‰14 Β· ⭐ 520) - GPU accelerated signal processing. Apache-2 +
cuSignal (πŸ₯‰14 Β· ⭐ 540) - GPU accelerated signal processing. Apache-2 -- [GitHub](https://github.com/rapidsai/cusignal) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 72 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/rapidsai/cusignal) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 78 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 03.11.2021): ``` git clone https://github.com/rapidsai/cusignal @@ -7987,11 +7991,11 @@ _Libraries that require and make use of CUDA/GPU system capabilities to optimize
Show 5 hidden projects... -- GPUtil (πŸ₯ˆ23 Β· ⭐ 750 Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT -- py3nvml (πŸ₯ˆ23 Β· ⭐ 190) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your.. BSD-3 -- nvidia-ml-py3 (πŸ₯‰20 Β· ⭐ 67 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 -- SpeedTorch (πŸ₯‰16 Β· ⭐ 620 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT -- ipyexperiments (πŸ₯‰16 Β· ⭐ 140) - jupyter/ipython experiment containers for GPU and.. Apache-2 +- GPUtil (πŸ₯ˆ24 Β· ⭐ 790 Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT +- py3nvml (πŸ₯ˆ23 Β· ⭐ 200) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your.. BSD-3 +- nvidia-ml-py3 (πŸ₯‰21 Β· ⭐ 71 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 +- SpeedTorch (πŸ₯‰16 Β· ⭐ 640 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT +- ipyexperiments (πŸ₯‰15 Β· ⭐ 140) - jupyter/ipython experiment containers for GPU and.. Apache-2

@@ -8003,176 +8007,176 @@ _Libraries that extend TensorFlow with additional capabilities._
TF Addons (πŸ₯‡34 Β· ⭐ 1.4K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 -- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 480 Β· πŸ“¦ 4K Β· πŸ“‹ 890 - 24% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 480 Β· πŸ“¦ 4.6K Β· πŸ“‹ 910 - 24% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/tensorflow/addons ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 9M / month Β· πŸ“¦ 18 Β· ⏱️ 19.08.2021): +- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 8.9M / month Β· πŸ“¦ 18 Β· ⏱️ 10.11.2021): ``` pip install tensorflow-addons ```
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tensor2tensor (πŸ₯‡33 Β· ⭐ 12K) - Library of deep learning models and datasets designed to.. Apache-2 +
tensor2tensor (πŸ₯‡32 Β· ⭐ 12K) - Library of deep learning models and datasets designed to.. Apache-2 -- [GitHub](https://github.com/tensorflow/tensor2tensor) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2.9K Β· πŸ“¦ 1K Β· πŸ“‹ 1.2K - 45% open Β· ⏱️ 21.08.2021): +- [GitHub](https://github.com/tensorflow/tensor2tensor) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2.9K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.2K - 45% open Β· ⏱️ 05.11.2021): ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 1.3M / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2020): +- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 350K / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2020): ``` pip install tensor2tensor ```
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tensorflow-hub (πŸ₯‡33 Β· ⭐ 2.9K) - A library for transfer learning by reusing parts of.. Apache-2 +
TensorFlow Datasets (πŸ₯ˆ31 Β· ⭐ 3.1K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 1.5K Β· πŸ“¦ 8.1K Β· πŸ“‹ 630 - 5% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.2K Β· πŸ“‹ 1.1K - 46% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/tensorflow/hub - ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 4.9M / month Β· πŸ“¦ 310 Β· ⏱️ 14.04.2021): - ``` - pip install tensorflow-hub + git clone https://github.com/tensorflow/datasets ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 56K Β· ⏱️ 18.04.2021): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.8M / month Β· πŸ“¦ 100 Β· ⏱️ 28.07.2021): ``` - conda install -c conda-forge tensorflow-hub + pip install tensorflow-datasets ```
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TensorFlow Datasets (πŸ₯ˆ30 Β· ⭐ 3K) - TFDS is a collection of datasets ready to use with.. Apache-2 +
tensorflow-hub (πŸ₯ˆ31 Β· ⭐ 3K) - A library for transfer learning by reusing parts of.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.1K - 45% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 1.6K Β· πŸ“¦ 9.1K Β· πŸ“‹ 620 - 2% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/tensorflow/datasets + git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 2.3M / month Β· πŸ“¦ 100 Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 3.2M / month Β· πŸ“¦ 310 Β· ⏱️ 14.04.2021): ``` - pip install tensorflow-datasets + pip install tensorflow-hub + ``` +- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 59K Β· ⏱️ 18.04.2021): + ``` + conda install -c conda-forge tensorflow-hub ```
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Keras-Preprocessing (πŸ₯ˆ29 Β· ⭐ 980) - Utilities for working with image data, text data, and.. MIT +
TF Model Optimization (πŸ₯ˆ29 Β· ⭐ 1.2K) - A toolkit to optimize ML models for deployment for.. Apache-2 -- [GitHub](https://github.com/keras-team/keras-preprocessing) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 420 Β· πŸ“‹ 190 - 48% open Β· ⏱️ 04.02.2021): +- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 250 Β· πŸ“¦ 1.3K Β· πŸ“‹ 280 - 48% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/keras-team/keras-preprocessing - ``` -- [PyPi](https://pypi.org/project/keras-preprocessing) (πŸ“₯ 6.6M / month Β· πŸ“¦ 2.7K Β· ⏱️ 14.05.2020): - ``` - pip install keras-preprocessing + git clone https://github.com/tensorflow/model-optimization ``` -- [Conda](https://anaconda.org/conda-forge/keras-preprocessing) (πŸ“₯ 1.1M Β· ⏱️ 15.01.2021): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 150K / month Β· πŸ“¦ 6 Β· ⏱️ 30.09.2021): ``` - conda install -c conda-forge keras-preprocessing + pip install tensorflow-model-optimization ```
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TensorFlow Transform (πŸ₯ˆ29 Β· ⭐ 880) - Input pipeline framework. Apache-2 +
TensorFlow Transform (πŸ₯ˆ29 Β· ⭐ 890) - Input pipeline framework. Apache-2 -- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 170 Β· πŸ“¦ 520 Β· πŸ“‹ 160 - 11% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 180 Β· πŸ“¦ 600 Β· πŸ“‹ 170 - 11% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 9.6M / month Β· πŸ“¦ 84 Β· ⏱️ 25.08.2021): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 10M / month Β· πŸ“¦ 84 Β· ⏱️ 05.11.2021): ``` pip install tensorflow-transform ```
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TF Model Optimization (πŸ₯‰28 Β· ⭐ 1.1K) - A toolkit to optimize ML models for deployment for.. Apache-2 +
Keras-Preprocessing (πŸ₯‰28 Β· ⭐ 990 Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT -- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 250 Β· πŸ“¦ 1.1K Β· πŸ“‹ 220 - 41% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/keras-team/keras-preprocessing) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 430 Β· πŸ“‹ 190 - 48% open Β· ⏱️ 04.02.2021): ``` - git clone https://github.com/tensorflow/model-optimization + git clone https://github.com/keras-team/keras-preprocessing ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 150K / month Β· πŸ“¦ 6 Β· ⏱️ 18.06.2021): +- [PyPi](https://pypi.org/project/keras-preprocessing) (πŸ“₯ 7.7M / month Β· πŸ“¦ 2.7K Β· ⏱️ 14.05.2020): ``` - pip install tensorflow-model-optimization + pip install keras-preprocessing + ``` +- [Conda](https://anaconda.org/conda-forge/keras-preprocessing) (πŸ“₯ 1.1M Β· ⏱️ 15.01.2021): + ``` + conda install -c conda-forge keras-preprocessing ```
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TensorFlow Cloud (πŸ₯‰26 Β· ⭐ 300) - The TensorFlow Cloud repository provides APIs that.. Apache-2 +
TensorFlow Cloud (πŸ₯‰26 Β· ⭐ 320) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 53 Β· πŸ“¦ 92 Β· πŸ“‹ 75 - 65% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 62 Β· πŸ“¦ 110 Β· πŸ“‹ 77 - 66% open Β· ⏱️ 07.09.2021): ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 1.6M / month Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 720K / month Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ```
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efficientnet (πŸ₯‰25 Β· ⭐ 1.9K) - Implementation of EfficientNet model. Keras and.. Apache-2 +
efficientnet (πŸ₯‰24 Β· ⭐ 1.9K) - Implementation of EfficientNet model. Keras and.. Apache-2 -- [GitHub](https://github.com/qubvel/efficientnet) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 420 Β· πŸ“₯ 190K Β· πŸ“¦ 720 Β· πŸ“‹ 110 - 51% open Β· ⏱️ 16.07.2021): +- [GitHub](https://github.com/qubvel/efficientnet) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 430 Β· πŸ“₯ 200K Β· πŸ“¦ 800 Β· πŸ“‹ 120 - 51% open Β· ⏱️ 16.07.2021): ``` git clone https://github.com/qubvel/efficientnet ``` -- [PyPi](https://pypi.org/project/efficientnet) (πŸ“₯ 64K / month Β· πŸ“¦ 4 Β· ⏱️ 15.09.2020): +- [PyPi](https://pypi.org/project/efficientnet) (πŸ“₯ 84K / month Β· πŸ“¦ 4 Β· ⏱️ 15.09.2020): ``` pip install efficientnet ```
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Neural Structured Learning (πŸ₯‰25 Β· ⭐ 850) - Training neural models with structured signals. Apache-2 +
Neural Structured Learning (πŸ₯‰24 Β· ⭐ 880) - Training neural models with structured signals. Apache-2 -- [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 150 Β· πŸ“¦ 100 Β· πŸ“‹ 58 - 6% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 130 Β· πŸ“‹ 60 - 5% open Β· ⏱️ 12.11.2021): ``` git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 120K / month Β· ⏱️ 18.08.2020): +- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 10K / month Β· ⏱️ 18.08.2020): ``` pip install neural-structured-learning ```
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TensorFlow I/O (πŸ₯‰24 Β· ⭐ 490) - Dataset, streaming, and file system extensions.. Apache-2 +
TensorFlow I/O (πŸ₯‰24 Β· ⭐ 510) - Dataset, streaming, and file system extensions.. Apache-2 -- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 180 Β· πŸ“‹ 450 - 32% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 200 Β· πŸ“‹ 480 - 32% open Β· ⏱️ 15.11.2021): ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 200K / month Β· ⏱️ 12.08.2021): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 150K / month Β· ⏱️ 10.11.2021): ``` pip install tensorflow-io ```
TensorNets (πŸ₯‰20 Β· ⭐ 990 Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT -- [GitHub](https://github.com/taehoonlee/tensornets) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 180 Β· πŸ“¦ 40 Β· πŸ“‹ 58 - 27% open Β· ⏱️ 02.01.2021): +- [GitHub](https://github.com/taehoonlee/tensornets) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 190 Β· πŸ“¦ 42 Β· πŸ“‹ 58 - 27% open Β· ⏱️ 02.01.2021): ``` git clone https://github.com/taehoonlee/tensornets ``` -- [PyPi](https://pypi.org/project/tensornets) (πŸ“₯ 360 / month Β· πŸ“¦ 4 Β· ⏱️ 31.03.2020): +- [PyPi](https://pypi.org/project/tensornets) (πŸ“₯ 150 / month Β· πŸ“¦ 4 Β· ⏱️ 31.03.2020): ``` pip install tensornets ```
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Saliency (πŸ₯‰20 Β· ⭐ 710) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2 +
Saliency (πŸ₯‰18 Β· ⭐ 740) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2 -- [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 160 Β· πŸ“¦ 18 Β· πŸ“‹ 40 - 35% open Β· ⏱️ 28.07.2021): +- [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 160 Β· πŸ“¦ 19 Β· πŸ“‹ 40 - 35% open Β· ⏱️ 28.07.2021): ``` git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 330 / month Β· πŸ“¦ 2 Β· ⏱️ 03.05.2021): +- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 990 / month Β· πŸ“¦ 2 Β· ⏱️ 03.05.2021): ``` pip install saliency ```
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TF Compression (πŸ₯‰18 Β· ⭐ 520) - Data compression in TensorFlow. Apache-2 +
TF Compression (πŸ₯‰17 Β· ⭐ 540) - Data compression in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 180 Β· ⏱️ 12.06.2021): +- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 190 Β· πŸ“‹ 75 - 2% open Β· ⏱️ 26.10.2021): ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 940 / month Β· πŸ“¦ 1 Β· ⏱️ 14.05.2021): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 700 / month Β· πŸ“¦ 1 Β· ⏱️ 14.05.2021): ``` pip install tensorflow-compression ``` @@ -8189,447 +8193,462 @@ _Libraries that extend TensorFlow with additional capabilities._ _Libraries that extend scikit-learn with additional capabilities._ -
imbalanced-learn (πŸ₯‡31 Β· ⭐ 5.4K) - A Python Package to Tackle the Curse of Imbalanced.. MIT +
imbalanced-learn (πŸ₯‡32 Β· ⭐ 5.6K) - A Python Package to Tackle the Curse of Imbalanced.. MIT -- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.1K Β· πŸ“¦ 6.8K Β· πŸ“‹ 480 - 8% open Β· ⏱️ 25.05.2021): +- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.1K Β· πŸ“¦ 8K Β· πŸ“‹ 490 - 11% open Β· ⏱️ 21.10.2021): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 1.8M / month Β· πŸ“¦ 280 Β· ⏱️ 18.02.2021): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 2.2M / month Β· πŸ“¦ 280 Β· ⏱️ 29.09.2021): ``` pip install imbalanced-learn ``` -- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 150K Β· ⏱️ 18.02.2021): +- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 170K Β· ⏱️ 29.09.2021): ``` conda install -c conda-forge imbalanced-learn ```
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MLxtend (πŸ₯‡31 Β· ⭐ 3.6K) - A library of extension and helper modules for Python's data.. BSD-3 +
MLxtend (πŸ₯‡32 Β· ⭐ 3.7K) - A library of extension and helper modules for Python's data.. BSD-3 -- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 710 Β· πŸ“¦ 4K Β· πŸ“‹ 390 - 24% open Β· ⏱️ 19.07.2021): +- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 730 Β· πŸ“¦ 4.6K Β· πŸ“‹ 390 - 25% open Β· ⏱️ 02.09.2021): ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 1.1M / month Β· πŸ“¦ 190 Β· ⏱️ 26.11.2020): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 1.4M / month Β· πŸ“¦ 190 Β· ⏱️ 03.09.2021): ``` pip install mlxtend ``` -- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 180K Β· ⏱️ 26.11.2020): +- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 190K Β· ⏱️ 03.09.2021): ``` conda install -c conda-forge mlxtend ```
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fancyimpute (πŸ₯ˆ25 Β· ⭐ 990 Β· πŸ“‰) - Multivariate imputation and matrix completion.. Apache-2 +
category_encoders (πŸ₯ˆ30 Β· ⭐ 1.8K Β· πŸ“ˆ) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/iskandr/fancyimpute) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 1.1K Β· πŸ“‹ 110 - 3% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 340 Β· πŸ“¦ 2.7K Β· πŸ“‹ 240 - 33% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/iskandr/fancyimpute + git clone https://github.com/scikit-learn-contrib/category_encoders ``` -- [PyPi](https://pypi.org/project/fancyimpute) (πŸ“₯ 6.3K / month Β· πŸ“¦ 42 Β· ⏱️ 26.08.2021): +- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 860K / month Β· πŸ“¦ 23 Β· ⏱️ 14.10.2018): ``` - pip install fancyimpute + pip install category_encoders + ``` +- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 130K Β· ⏱️ 13.10.2021): + ``` + conda install -c conda-forge category_encoders ```
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sklearn-contrib-lightning (πŸ₯ˆ24 Β· ⭐ 1.5K) - Large-scale linear classification, regression and.. BSD-3 +
fancyimpute (πŸ₯ˆ25 Β· ⭐ 1K) - Multivariate imputation and matrix completion algorithms.. Apache-2 -- [GitHub](https://github.com/scikit-learn-contrib/lightning) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 190 Β· πŸ“₯ 71 Β· πŸ“¦ 86 Β· πŸ“‹ 90 - 55% open Β· ⏱️ 15.06.2021): +- [GitHub](https://github.com/iskandr/fancyimpute) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 160 Β· πŸ“¦ 1.1K Β· πŸ“‹ 110 - 0% open Β· ⏱️ 21.10.2021): ``` - git clone https://github.com/scikit-learn-contrib/lightning - ``` -- [PyPi](https://pypi.org/project/sklearn-contrib-lightning) (πŸ“₯ 4.4K / month Β· πŸ“¦ 10 Β· ⏱️ 15.06.2021): - ``` - pip install sklearn-contrib-lightning + git clone https://github.com/iskandr/fancyimpute ``` -- [Conda](https://anaconda.org/conda-forge/sklearn-contrib-lightning) (πŸ“₯ 150K Β· ⏱️ 20.12.2020): +- [PyPi](https://pypi.org/project/fancyimpute) (πŸ“₯ 7.5K / month Β· πŸ“¦ 42 Β· ⏱️ 21.10.2021): ``` - conda install -c conda-forge sklearn-contrib-lightning + pip install fancyimpute ```
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scikit-opt (πŸ₯ˆ23 Β· ⭐ 2.5K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT +
scikit-opt (πŸ₯ˆ24 Β· ⭐ 2.7K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT -- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 580 Β· πŸ“¦ 41 Β· πŸ“‹ 110 - 19% open Β· ⏱️ 10.08.2021): +- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 640 Β· πŸ“¦ 54 Β· πŸ“‹ 120 - 21% open Β· ⏱️ 26.09.2021): ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 1.1K / month Β· πŸ“¦ 3 Β· ⏱️ 28.06.2021): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 1.5K / month Β· πŸ“¦ 6 Β· ⏱️ 28.06.2021): ``` pip install scikit-opt ```
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scikit-lego (πŸ₯‰21 Β· ⭐ 570) - Extra blocks for scikit-learn pipelines. MIT +
sklearn-contrib-lightning (πŸ₯ˆ24 Β· ⭐ 1.5K) - Large-scale linear classification, regression and.. BSD-3 -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 75 Β· πŸ“¦ 29 Β· πŸ“‹ 220 - 11% open Β· ⏱️ 03.07.2021): +- [GitHub](https://github.com/scikit-learn-contrib/lightning) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 190 Β· πŸ“₯ 99 Β· πŸ“¦ 93 Β· πŸ“‹ 90 - 55% open Β· ⏱️ 15.06.2021): ``` - git clone https://github.com/koaning/scikit-lego + git clone https://github.com/scikit-learn-contrib/lightning ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 18K / month Β· ⏱️ 03.07.2021): +- [PyPi](https://pypi.org/project/sklearn-contrib-lightning) (πŸ“₯ 1.9K / month Β· πŸ“¦ 10 Β· ⏱️ 15.06.2021): ``` - pip install scikit-lego + pip install sklearn-contrib-lightning ``` -- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 14K Β· ⏱️ 03.07.2021): +- [Conda](https://anaconda.org/conda-forge/sklearn-contrib-lightning) (πŸ“₯ 160K Β· ⏱️ 13.11.2021): ``` - conda install -c conda-forge scikit-lego + conda install -c conda-forge sklearn-contrib-lightning ```
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combo (πŸ₯‰21 Β· ⭐ 540) - (AAAI' 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost +
iterative-stratification (πŸ₯‰22 Β· ⭐ 610 Β· πŸ“ˆ) - scikit-learn cross validators for iterative.. BSD-3 -- [GitHub](https://github.com/yzhao062/combo) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 90 Β· πŸ“¦ 380 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 15.03.2021): +- [GitHub](https://github.com/trent-b/iterative-stratification) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 56 Β· πŸ“¦ 170 Β· πŸ“‹ 19 - 21% open Β· ⏱️ 11.11.2021): ``` - git clone https://github.com/yzhao062/combo + git clone https://github.com/trent-b/iterative-stratification ``` -- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 56K / month Β· ⏱️ 23.12.2020): +- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 15K / month Β· πŸ“¦ 14 Β· ⏱️ 03.10.2021): ``` - pip install combo + pip install iterative-stratification ```
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DESlib (πŸ₯‰20 Β· ⭐ 340) - A Python library for dynamic classifier and ensemble selection. BSD-3 +
combo (πŸ₯‰22 Β· ⭐ 550) - (AAAI' 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost -- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 73 Β· πŸ“¦ 22 Β· πŸ“‹ 140 - 9% open Β· ⏱️ 09.04.2021): +- [GitHub](https://github.com/yzhao062/combo) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 92 Β· πŸ“¦ 420 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 02.10.2021): ``` - git clone https://github.com/scikit-learn-contrib/DESlib + git clone https://github.com/yzhao062/combo ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 2.2K / month Β· ⏱️ 08.02.2021): +- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 44K / month Β· ⏱️ 23.12.2020): ``` - pip install deslib + pip install combo ```
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scikit-tda (πŸ₯‰20 Β· ⭐ 300) - Topological Data Analysis for Python. MIT +
scikit-lego (πŸ₯‰21 Β· ⭐ 650) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 35 Β· πŸ“¦ 21 Β· πŸ“‹ 16 - 75% open Β· ⏱️ 03.08.2021): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 74 Β· πŸ“¦ 37 Β· πŸ“‹ 230 - 13% open Β· ⏱️ 30.09.2021): ``` - git clone https://github.com/scikit-tda/scikit-tda + git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 3.8K / month Β· ⏱️ 03.08.2021): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 24K / month Β· ⏱️ 03.07.2021): ``` - pip install scikit-tda + pip install scikit-lego + ``` +- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 16K Β· ⏱️ 03.07.2021): + ``` + conda install -c conda-forge scikit-lego ```
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iterative-stratification (πŸ₯‰19 Β· ⭐ 580 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 +
DESlib (πŸ₯‰20 Β· ⭐ 360) - A Python library for dynamic classifier and ensemble selection. BSD-3 -- [GitHub](https://github.com/trent-b/iterative-stratification) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 52 Β· πŸ“¦ 160 Β· πŸ“‹ 14 - 21% open Β· ⏱️ 12.09.2020): +- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 73 Β· πŸ“¦ 22 Β· πŸ“‹ 140 - 9% open Β· ⏱️ 10.10.2021): ``` - git clone https://github.com/trent-b/iterative-stratification + git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 6.9K / month Β· πŸ“¦ 14 Β· ⏱️ 12.08.2018): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1.3K / month Β· ⏱️ 08.02.2021): ``` - pip install iterative-stratification + pip install deslib ```
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Show 7 hidden projects... - -- category_encoders (πŸ₯ˆ26 Β· ⭐ 1.7K Β· πŸ’€) - A library of sklearn compatible categorical variable.. BSD-3 -- sklearn-crfsuite (πŸ₯ˆ24 Β· ⭐ 380 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT -- scikit-multilearn (πŸ₯ˆ23 Β· ⭐ 670 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 -- skope-rules (πŸ₯‰21 Β· ⭐ 410 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause -- skggm (πŸ₯‰16 Β· ⭐ 180 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT -- celer (πŸ₯‰16 Β· ⭐ 120) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 -- dabl (πŸ₯‰16 Β· ⭐ 100) - Data Analysis Baseline Library. BSD-3 -
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- -## Pytorch Utilities - -Back to top - -_Libraries that extend Pytorch with additional capabilities._ - -
EfficientNet-PyTorch (πŸ₯‡27 Β· ⭐ 6.4K) - A PyTorch implementation of EfficientNet and.. Apache-2 +
scikit-tda (πŸ₯‰20 Β· ⭐ 310) - Topological Data Analysis for Python. MIT -- [GitHub](https://github.com/lukemelas/EfficientNet-PyTorch) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 1.2K Β· πŸ“₯ 730K Β· πŸ“‹ 260 - 47% open Β· ⏱️ 15.04.2021): +- [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 38 Β· πŸ“¦ 21 Β· πŸ“‹ 16 - 75% open Β· ⏱️ 03.08.2021): ``` - git clone https://github.com/lukemelas/EfficientNet-PyTorch + git clone https://github.com/scikit-tda/scikit-tda ``` -- [PyPi](https://pypi.org/project/efficientnet-pytorch) (πŸ“₯ 170K / month Β· πŸ“¦ 14 Β· ⏱️ 15.04.2021): +- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 5.2K / month Β· ⏱️ 03.08.2021): ``` - pip install efficientnet-pytorch + pip install scikit-tda ```
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pytorch-summary (πŸ₯‡26 Β· ⭐ 3.2K) - Model summary in PyTorch similar to `model.summary()` in.. MIT +
Show 6 hidden projects... + +- sklearn-crfsuite (πŸ₯ˆ25 Β· ⭐ 380 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT +- scikit-multilearn (πŸ₯‰23 Β· ⭐ 700 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 +- skope-rules (πŸ₯‰21 Β· ⭐ 420 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause +- skggm (πŸ₯‰18 Β· ⭐ 190 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT +- celer (πŸ₯‰18 Β· ⭐ 130) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 +- dabl (πŸ₯‰15 Β· ⭐ 110) - Data Analysis Baseline Library. BSD-3 +
+
+ +## Pytorch Utilities -- [GitHub](https://github.com/sksq96/pytorch-summary) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 360 Β· πŸ“¦ 3.2K Β· πŸ“‹ 160 - 76% open Β· ⏱️ 10.05.2021): +Back to top + +_Libraries that extend Pytorch with additional capabilities._ + +
pytorch-optimizer (πŸ₯‡27 Β· ⭐ 2.2K) - torch-optimizer -- collection of optimizers for.. Apache-2 + +- [GitHub](https://github.com/jettify/pytorch-optimizer) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 200 Β· πŸ“¦ 380 Β· πŸ“‹ 44 - 36% open Β· ⏱️ 11.11.2021): ``` - git clone https://github.com/sksq96/pytorch-summary + git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torchsummary) (πŸ“₯ 90K / month Β· πŸ“¦ 120 Β· ⏱️ 26.09.2018): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 60K / month Β· ⏱️ 31.10.2021): ``` - pip install torchsummary + pip install torch_optimizer ```
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pytorch-optimizer (πŸ₯‡26 Β· ⭐ 2K) - torch-optimizer -- collection of optimizers for.. Apache-2 +
EfficientNet-PyTorch (πŸ₯‡26 Β· ⭐ 6.6K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 -- [GitHub](https://github.com/jettify/pytorch-optimizer) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 190 Β· πŸ“¦ 290 Β· πŸ“‹ 44 - 40% open Β· ⏱️ 06.07.2021): +- [GitHub](https://github.com/lukemelas/EfficientNet-PyTorch) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 1.3K Β· πŸ“₯ 960K Β· πŸ“‹ 260 - 48% open Β· ⏱️ 15.04.2021): ``` - git clone https://github.com/jettify/pytorch-optimizer + git clone https://github.com/lukemelas/EfficientNet-PyTorch ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 50K / month Β· ⏱️ 01.01.2021): +- [PyPi](https://pypi.org/project/efficientnet-pytorch) (πŸ“₯ 220K / month Β· πŸ“¦ 14 Β· ⏱️ 15.04.2021): ``` - pip install torch_optimizer + pip install efficientnet-pytorch ```
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PML (πŸ₯ˆ25 Β· ⭐ 3.6K) - The easiest way to use deep metric learning in your application. Modular,.. MIT +
PML (πŸ₯‡25 Β· ⭐ 3.8K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 450 Β· πŸ“¦ 120 Β· πŸ“‹ 290 - 16% open Β· ⏱️ 03.08.2021): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 470 Β· πŸ“¦ 160 Β· πŸ“‹ 300 - 18% open Β· ⏱️ 03.08.2021): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 11K / month Β· ⏱️ 17.08.2021): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 65K / month Β· ⏱️ 31.08.2021): ``` pip install pytorch-metric-learning ``` -- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (πŸ“₯ 3.7K Β· ⏱️ 10.05.2021): +- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (πŸ“₯ 4.8K Β· ⏱️ 10.05.2021): ``` conda install -c metric-learning pytorch-metric-learning ```
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torchdiffeq (πŸ₯ˆ24 Β· ⭐ 3.6K) - Differentiable ODE solvers with full GPU support and.. MIT +
torchdiffeq (πŸ₯‡25 Β· ⭐ 3.8K) - Differentiable ODE solvers with full GPU support and.. MIT -- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 620 Β· πŸ“¦ 130 Β· πŸ“‹ 150 - 17% open Β· ⏱️ 27.07.2021): +- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 650 Β· πŸ“¦ 170 Β· πŸ“‹ 160 - 17% open Β· ⏱️ 22.09.2021): ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 6K / month Β· ⏱️ 02.06.2021): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 5.9K / month Β· ⏱️ 02.06.2021): ``` pip install torchdiffeq ```
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SRU (πŸ₯ˆ24 Β· ⭐ 2K) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT +
pytorch-summary (πŸ₯‡25 Β· ⭐ 3.3K) - Model summary in PyTorch similar to `model.summary()` in.. MIT -- [GitHub](https://github.com/asappresearch/sru) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 290 Β· πŸ“¦ 16 Β· πŸ“‹ 120 - 44% open Β· ⏱️ 19.05.2021): +- [GitHub](https://github.com/sksq96/pytorch-summary) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 370 Β· πŸ“¦ 3.7K Β· πŸ“‹ 160 - 75% open Β· ⏱️ 10.05.2021): ``` - git clone https://github.com/asappresearch/sru + git clone https://github.com/sksq96/pytorch-summary ``` -- [PyPi](https://pypi.org/project/sru) (πŸ“₯ 3.8K / month Β· πŸ“¦ 2 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/torchsummary) (πŸ“₯ 140K / month Β· πŸ“¦ 120 Β· ⏱️ 26.09.2018): ``` - pip install sru + pip install torchsummary + ``` +
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accelerate (πŸ₯‡25 Β· ⭐ 2K Β· πŸ“ˆ) - A simple way to train and use PyTorch models with multi-.. Apache-2 + +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 110 Β· πŸ“¦ 210 Β· πŸ“‹ 130 - 34% open Β· ⏱️ 12.11.2021): + + ``` + git clone https://github.com/huggingface/accelerate + ``` +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 68K / month Β· ⏱️ 27.09.2021): + ``` + pip install accelerate ```
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Torchmeta (πŸ₯ˆ24 Β· ⭐ 1.4K) - A collection of extensions and data-loaders for few-shot learning.. MIT +
Torchmeta (πŸ₯ˆ23 Β· ⭐ 1.5K) - A collection of extensions and data-loaders for few-shot learning.. MIT -- [GitHub](https://github.com/tristandeleu/pytorch-meta) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 160 Β· πŸ“¦ 58 Β· πŸ“‹ 110 - 30% open Β· ⏱️ 31.07.2021): +- [GitHub](https://github.com/tristandeleu/pytorch-meta) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 180 Β· πŸ“¦ 74 Β· πŸ“‹ 120 - 26% open Β· ⏱️ 20.09.2021): ``` git clone https://github.com/tristandeleu/pytorch-meta ``` -- [PyPi](https://pypi.org/project/torchmeta) (πŸ“₯ 2.2K / month Β· ⏱️ 19.03.2021): +- [PyPi](https://pypi.org/project/torchmeta) (πŸ“₯ 940 / month Β· ⏱️ 20.09.2021): ``` pip install torchmeta ```
EfficientNets (πŸ₯ˆ23 Β· ⭐ 1.4K) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 -- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 180 Β· πŸ“¦ 68 Β· ⏱️ 08.07.2021): +- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 190 Β· πŸ“¦ 83 Β· πŸ“‹ 51 - 3% open Β· ⏱️ 08.07.2021): ``` git clone https://github.com/rwightman/gen-efficientnet-pytorch ``` -- [PyPi](https://pypi.org/project/geffnet) (πŸ“₯ 5.8K / month Β· ⏱️ 08.07.2021): +- [PyPi](https://pypi.org/project/geffnet) (πŸ“₯ 8.3K / month Β· ⏱️ 08.07.2021): ``` pip install geffnet ```
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accelerate (πŸ₯ˆ22 Β· ⭐ 1.8K) - A simple way to train and use PyTorch models with multi-.. Apache-2 +
lightning-flash (πŸ₯ˆ23 Β· ⭐ 1.3K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 85 Β· πŸ“¦ 130 Β· πŸ“‹ 90 - 28% open Β· ⏱️ 10.08.2021): +- [GitHub](https://github.com/PyTorchLightning/lightning-flash) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 130 Β· πŸ“¦ 33 Β· πŸ“‹ 370 - 24% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/huggingface/accelerate + git clone https://github.com/PyTorchLightning/lightning-flash ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 29K / month Β· ⏱️ 10.08.2021): +- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 2.1K / month Β· ⏱️ 05.11.2021): ``` - pip install accelerate + pip install lightning-flash ```
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reformer-pytorch (πŸ₯ˆ22 Β· ⭐ 1.6K) - Reformer, the efficient Transformer, in Pytorch. MIT +
SRU (πŸ₯ˆ22 Β· ⭐ 2K) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT -- [GitHub](https://github.com/lucidrains/reformer-pytorch) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 210 Β· πŸ“‹ 110 - 9% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/asappresearch/sru) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 290 Β· πŸ“¦ 16 Β· πŸ“‹ 120 - 44% open Β· ⏱️ 19.05.2021): ``` - git clone https://github.com/lucidrains/reformer-pytorch + git clone https://github.com/asappresearch/sru ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 11K / month Β· ⏱️ 25.08.2021): +- [PyPi](https://pypi.org/project/sru) (πŸ“₯ 4.2K / month Β· πŸ“¦ 2 Β· ⏱️ 17.06.2021): ``` - pip install reformer-pytorch + pip install sru ```
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Higher (πŸ₯ˆ22 Β· ⭐ 1.2K) - higher is a pytorch library allowing users to obtain higher.. Apache-2 +
reformer-pytorch (πŸ₯ˆ22 Β· ⭐ 1.6K) - Reformer, the efficient Transformer, in Pytorch. MIT -- [GitHub](https://github.com/facebookresearch/higher) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 84 Β· πŸ“¦ 72 Β· πŸ“‹ 85 - 42% open Β· ⏱️ 21.06.2021): +- [GitHub](https://github.com/lucidrains/reformer-pytorch) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 220 Β· πŸ“‹ 120 - 11% open Β· ⏱️ 06.11.2021): ``` - git clone https://github.com/facebookresearch/higher + git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/higher) (πŸ“₯ 40K / month Β· ⏱️ 14.07.2020): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 32K / month Β· ⏱️ 06.11.2021): ``` - pip install higher + pip install reformer-pytorch ```
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lightning-flash (πŸ₯ˆ22 Β· ⭐ 890) - Collection of tasks for fast prototyping, baselining,.. Apache-2 +
Higher (πŸ₯ˆ22 Β· ⭐ 1.3K) - higher is a pytorch library allowing users to obtain higher.. Apache-2 -- [GitHub](https://github.com/PyTorchLightning/lightning-flash) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 87 Β· πŸ“¦ 19 Β· πŸ“‹ 250 - 33% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/facebookresearch/higher) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 91 Β· πŸ“¦ 90 Β· πŸ“‹ 93 - 46% open Β· ⏱️ 26.10.2021): ``` - git clone https://github.com/PyTorchLightning/lightning-flash + git clone https://github.com/facebookresearch/higher ``` -- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 1.2K / month Β· ⏱️ 22.06.2021): +- [PyPi](https://pypi.org/project/higher) (πŸ“₯ 72K / month Β· ⏱️ 14.07.2020): ``` - pip install lightning-flash + pip install higher ```
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torch-scatter (πŸ₯ˆ22 Β· ⭐ 740) - PyTorch Extension Library of Optimized Scatter Operations. MIT +
torch-scatter (πŸ₯ˆ22 Β· ⭐ 820) - PyTorch Extension Library of Optimized Scatter Operations. MIT -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 83 Β· πŸ“‹ 210 - 35% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 90 Β· πŸ“‹ 230 - 9% open Β· ⏱️ 13.11.2021): ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 24K / month Β· πŸ“¦ 32 Β· ⏱️ 29.07.2021): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 32K / month Β· πŸ“¦ 32 Β· ⏱️ 22.10.2021): ``` pip install torch-scatter ```
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PyTorch Sparse (πŸ₯ˆ22 Β· ⭐ 460) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT +
PyTorch Sparse (πŸ₯ˆ22 Β· ⭐ 520) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 58 Β· πŸ“‹ 140 - 43% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 67 Β· πŸ“‹ 190 - 32% open Β· ⏱️ 13.11.2021): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 17K / month Β· πŸ“¦ 34 Β· ⏱️ 29.07.2021): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 19K / month Β· πŸ“¦ 34 Β· ⏱️ 08.09.2021): ``` pip install torch-sparse ```
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TabNet (πŸ₯‰21 Β· ⭐ 1.2K) - PyTorch implementation of TabNet paper :.. MIT +
TabNet (πŸ₯‰21 Β· ⭐ 1.4K) - PyTorch implementation of TabNet paper :.. MIT -- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 240 Β· πŸ“‹ 170 - 21% open Β· ⏱️ 27.05.2021): +- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 270 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 12.11.2021): ``` git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 19K / month Β· ⏱️ 02.02.2021): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 29K / month Β· ⏱️ 02.02.2021): ``` pip install pytorch-tabnet ```
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Pytorch Toolbelt (πŸ₯‰20 Β· ⭐ 1.1K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT +
Pytorch Toolbelt (πŸ₯‰21 Β· ⭐ 1.1K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 78 Β· πŸ“‹ 20 - 15% open Β· ⏱️ 12.08.2021): +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 84 Β· πŸ“‹ 21 - 14% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 13K / month Β· πŸ“¦ 2 Β· ⏱️ 12.08.2021): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 9.5K / month Β· πŸ“¦ 2 Β· ⏱️ 12.08.2021): ``` pip install pytorch_toolbelt ```
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Performer Pytorch (πŸ₯‰19 Β· ⭐ 700) - An implementation of Performer, a linear attention-based.. MIT +
Tensor Sensor (πŸ₯‰20 Β· ⭐ 600) - The goal of this library is to generate more helpful.. MIT -- [GitHub](https://github.com/lucidrains/performer-pytorch) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 92 Β· πŸ“¦ 27 Β· πŸ“‹ 66 - 40% open Β· ⏱️ 21.08.2021): +- [GitHub](https://github.com/parrt/tensor-sensor) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 30 Β· πŸ“¦ 7 Β· πŸ“‹ 24 - 41% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/lucidrains/performer-pytorch + git clone https://github.com/parrt/tensor-sensor ``` -- [PyPi](https://pypi.org/project/performer-pytorch) (πŸ“₯ 1.3K / month Β· ⏱️ 21.08.2021): +- [PyPi](https://pypi.org/project/tensor-sensor) (πŸ“₯ 1.5K / month Β· ⏱️ 27.09.2021): ``` - pip install performer-pytorch + pip install tensor-sensor ```
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Lambda Networks (πŸ₯‰17 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT +
Performer Pytorch (πŸ₯‰19 Β· ⭐ 740) - An implementation of Performer, a linear attention-based.. MIT -- [GitHub](https://github.com/lucidrains/lambda-networks) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 150 Β· πŸ“¦ 3 Β· πŸ“‹ 27 - 44% open Β· ⏱️ 18.11.2020): +- [GitHub](https://github.com/lucidrains/performer-pytorch) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 100 Β· πŸ“¦ 33 Β· πŸ“‹ 68 - 39% open Β· ⏱️ 07.11.2021): ``` - git clone https://github.com/lucidrains/lambda-networks + git clone https://github.com/lucidrains/performer-pytorch ``` -- [PyPi](https://pypi.org/project/lambda-networks) (πŸ“₯ 220 / month Β· ⏱️ 18.11.2020): +- [PyPi](https://pypi.org/project/performer-pytorch) (πŸ“₯ 1.4K / month Β· ⏱️ 07.11.2021): ``` - pip install lambda-networks + pip install performer-pytorch ```
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Tensor Sensor (πŸ₯‰17 Β· ⭐ 580) - The goal of this library is to generate more helpful.. MIT +
Tez (πŸ₯‰18 Β· ⭐ 720) - Tez is a super-simple and lightweight Trainer for PyTorch. It also.. Apache-2 -- [GitHub](https://github.com/parrt/tensor-sensor) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 28 Β· πŸ“¦ 2 Β· πŸ“‹ 18 - 27% open Β· ⏱️ 26.05.2021): +- [GitHub](https://github.com/abhishekkrthakur/tez) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 100 Β· πŸ“¦ 17 Β· πŸ“‹ 25 - 60% open Β· ⏱️ 27.09.2021): ``` - git clone https://github.com/parrt/tensor-sensor + git clone https://github.com/abhishekkrthakur/tez ``` -- [PyPi](https://pypi.org/project/tensor-sensor) (πŸ“₯ 3.2K / month Β· ⏱️ 26.05.2021): +- [PyPi](https://pypi.org/project/tez) (πŸ“₯ 1.3K / month Β· ⏱️ 16.08.2021): ``` - pip install tensor-sensor + pip install tez ```
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tinygrad (πŸ₯‰16 Β· ⭐ 5K) - You like pytorch? You like micrograd? You love tinygrad!. MIT +
Pywick (πŸ₯‰18 Β· ⭐ 360) - High-level batteries-included neural network training library for.. MIT -- [GitHub](https://github.com/geohot/tinygrad) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 550 Β· πŸ“¦ 1 Β· πŸ“‹ 85 - 24% open Β· ⏱️ 06.08.2021): +- [GitHub](https://github.com/achaiah/pywick) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 38 Β· πŸ“¦ 5 Β· πŸ“‹ 14 - 14% open Β· ⏱️ 22.10.2021): ``` - git clone https://github.com/geohot/tinygrad + git clone https://github.com/achaiah/pywick + ``` +- [PyPi](https://pypi.org/project/pywick) (πŸ“₯ 120 / month Β· ⏱️ 22.10.2021): + ``` + pip install pywick ```
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torchsde (πŸ₯‰16 Β· ⭐ 810) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 +
tinygrad (πŸ₯‰16 Β· ⭐ 5.1K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 85 Β· πŸ“¦ 7 Β· πŸ“‹ 39 - 17% open Β· ⏱️ 26.07.2021): +- [GitHub](https://github.com/geohot/tinygrad) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 560 Β· πŸ“¦ 1 Β· πŸ“‹ 99 - 21% open Β· ⏱️ 31.10.2021): ``` - git clone https://github.com/google-research/torchsde + git clone https://github.com/geohot/tinygrad ```
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madgrad (πŸ₯‰16 Β· ⭐ 730) - MADGRAD Optimization Method. MIT +
Lambda Networks (πŸ₯‰16 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT -- [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 50 Β· πŸ“¦ 13 Β· πŸ“‹ 9 - 22% open Β· ⏱️ 20.08.2021): +- [GitHub](https://github.com/lucidrains/lambda-networks) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 150 Β· πŸ“¦ 3 Β· πŸ“‹ 27 - 44% open Β· ⏱️ 18.11.2020): ``` - git clone https://github.com/facebookresearch/madgrad + git clone https://github.com/lucidrains/lambda-networks ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3K / month Β· ⏱️ 01.04.2021): +- [PyPi](https://pypi.org/project/lambda-networks) (πŸ“₯ 110 / month Β· ⏱️ 18.11.2020): ``` - pip install madgrad + pip install lambda-networks ```
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Tez (πŸ₯‰16 Β· ⭐ 650) - Tez is a super-simple and lightweight Trainer for PyTorch. It also.. Apache-2 +
torchsde (πŸ₯‰15 Β· ⭐ 870) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/abhishekkrthakur/tez) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 91 Β· πŸ“¦ 9 Β· πŸ“‹ 24 - 62% open Β· ⏱️ 16.08.2021): +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 92 Β· πŸ“¦ 9 Β· πŸ“‹ 41 - 17% open Β· ⏱️ 26.07.2021): ``` - git clone https://github.com/abhishekkrthakur/tez - ``` -- [PyPi](https://pypi.org/project/tez) (πŸ“₯ 1.1K / month Β· ⏱️ 16.08.2021): - ``` - pip install tez + git clone https://github.com/google-research/torchsde ```
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Pywick (πŸ₯‰16 Β· ⭐ 330) - High-level batteries-included neural network training library for.. MIT +
madgrad (πŸ₯‰15 Β· ⭐ 750) - MADGRAD Optimization Method. MIT -- [GitHub](https://github.com/achaiah/pywick) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 36 Β· πŸ“¦ 4 Β· πŸ“‹ 13 - 23% open Β· ⏱️ 17.05.2021): +- [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 51 Β· πŸ“¦ 18 Β· πŸ“‹ 9 - 22% open Β· ⏱️ 20.08.2021): ``` - git clone https://github.com/achaiah/pywick + git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/pywick) (πŸ“₯ 56 / month Β· ⏱️ 20.01.2020): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 4.8K / month Β· ⏱️ 01.04.2021): ``` - pip install pywick + pip install madgrad ```
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Torch-Struct (πŸ₯‰13 Β· ⭐ 970) - Fast, general, and tested differentiable structured prediction.. MIT +
Torch-Struct (πŸ₯‰14 Β· ⭐ 1K) - Fast, general, and tested differentiable structured prediction.. MIT -- [GitHub](https://github.com/harvardnlp/pytorch-struct) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 72 Β· πŸ“‹ 43 - 41% open Β· ⏱️ 09.05.2021): +- [GitHub](https://github.com/harvardnlp/pytorch-struct) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 77 Β· πŸ“‹ 49 - 42% open Β· ⏱️ 04.11.2021): ``` git clone https://github.com/harvardnlp/pytorch-struct @@ -8637,12 +8656,12 @@ _Libraries that extend Pytorch with additional capabilities._
Show 6 hidden projects... -- pretrainedmodels (πŸ₯‡30 Β· ⭐ 8.1K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 -- Poutyne (πŸ₯‰20 Β· ⭐ 480) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 -- AdaBound (πŸ₯‰19 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 -- Antialiased CNNs (πŸ₯‰17 Β· ⭐ 1.4K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 -- TorchDrift (πŸ₯‰17 Β· ⭐ 170 Β· 🐣) - Drift Detection for your PyTorch Models. Apache-2 +- pretrainedmodels (πŸ₯‡29 Β· ⭐ 8.3K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 +- AdaBound (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 +- Poutyne (πŸ₯‰20 Β· ⭐ 510) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 +- Antialiased CNNs (πŸ₯‰18 Β· ⭐ 1.5K) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - micrograd (πŸ₯‰14 Β· ⭐ 1.8K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT +- TorchDrift (πŸ₯‰14 Β· ⭐ 180) - Drift Detection for your PyTorch Models. Apache-2

@@ -8652,7 +8671,7 @@ _Libraries that extend Pytorch with additional capabilities._ _Libraries for connecting to, operating, and querying databases._ -πŸ”— best-of-python - DB Clients ( ⭐ 1.7K) - Collection of database clients for python. +πŸ”— best-of-python - DB Clients ( ⭐ 1.8K) - Collection of database clients for python.
@@ -8660,435 +8679,455 @@ _Libraries for connecting to, operating, and querying databases._ Back to top -
scipy (πŸ₯‡42 Β· ⭐ 8.5K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 +
scipy (πŸ₯‡42 Β· ⭐ 8.8K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 3.8K Β· πŸ“₯ 320K Β· πŸ“¦ 390K Β· πŸ“‹ 7.8K - 22% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 4K Β· πŸ“₯ 330K Β· πŸ“¦ 420K Β· πŸ“‹ 8.1K - 22% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 30M / month Β· πŸ“¦ 87K Β· ⏱️ 02.08.2021): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 33M / month Β· πŸ“¦ 87K Β· ⏱️ 06.11.2021): ``` pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 17M Β· ⏱️ 19.08.2021): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 19M Β· ⏱️ 09.11.2021): ``` conda install -c conda-forge scipy ```
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SymPy (πŸ₯‡36 Β· ⭐ 8.3K Β· πŸ“‰) - A computer algebra system written in pure Python. BSD-3 +
SymPy (πŸ₯‡37 Β· ⭐ 8.6K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 3.4K Β· πŸ“₯ 430K Β· πŸ“¦ 35K Β· πŸ“‹ 12K - 35% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 3.5K Β· πŸ“₯ 440K Β· πŸ“¦ 37K Β· πŸ“‹ 12K - 35% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 2.5M / month Β· πŸ“¦ 6.4K Β· ⏱️ 09.04.2021): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 1.9M / month Β· πŸ“¦ 6.4K Β· ⏱️ 08.10.2021): ``` pip install sympy ``` -- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 1.6M Β· ⏱️ 10.04.2021): +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 1.8M Β· ⏱️ 06.11.2021): ``` conda install -c conda-forge sympy ```
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Autograd (πŸ₯‡29 Β· ⭐ 5.4K) - Efficiently computes derivatives of numpy code. MIT +
PyOD (πŸ₯‡31 Β· ⭐ 5K Β· πŸ“ˆ) - A Python Toolbox for Scalable Outlier Detection (Anomaly Detection). BSD-2 -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 750 Β· πŸ“¦ 2.3K Β· πŸ“‹ 380 - 42% open Β· ⏱️ 03.03.2021): +- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 980 Β· πŸ“¦ 960 Β· πŸ“‹ 230 - 52% open Β· ⏱️ 01.11.2021): ``` - git clone https://github.com/HIPS/autograd - ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.3M / month Β· πŸ“¦ 340 Β· ⏱️ 25.07.2019): - ``` - pip install autograd - ``` -- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 180K Β· ⏱️ 25.07.2019): - ``` - conda install -c conda-forge autograd - ``` -
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Datasette (πŸ₯‡29 Β· ⭐ 5.4K) - An open source multi-tool for exploring and publishing data. Apache-2 - -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 320 Β· πŸ“₯ 32 Β· πŸ“¦ 480 Β· πŸ“‹ 1.1K - 24% open Β· ⏱️ 25.08.2021): - - ``` - git clone https://github.com/simonw/datasette + git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 120K / month Β· πŸ“¦ 70 Β· ⏱️ 09.08.2021): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 520K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2021): ``` - pip install datasette + pip install pyod ```
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Streamlit (πŸ₯‡28 Β· ⭐ 16K Β· πŸ“ˆ) - Streamlit The fastest way to build data apps in Python. Apache-2 +
Streamlit (πŸ₯‡29 Β· ⭐ 17K) - Streamlit The fastest way to build data apps in Python. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.4K Β· πŸ“¦ 110 Β· πŸ“‹ 1.9K - 29% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 170 Β· πŸ“‹ 2.1K - 26% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 460K / month Β· πŸ“¦ 34 Β· ⏱️ 19.08.2021): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 620K / month Β· πŸ“¦ 34 Β· ⏱️ 11.11.2021): ``` pip install streamlit ```
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PyOD (πŸ₯‡28 Β· ⭐ 4.8K) - (JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly.. BSD-2 +
Datasette (πŸ₯‡29 Β· ⭐ 5.6K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 950 Β· πŸ“¦ 800 Β· πŸ“‹ 220 - 53% open Β· ⏱️ 19.08.2021): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 380 Β· πŸ“₯ 34 Β· πŸ“¦ 550 Β· πŸ“‹ 1.2K - 26% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/yzhao062/pyod + git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 250K / month Β· πŸ“¦ 6 Β· ⏱️ 15.08.2021): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 130K / month Β· πŸ“¦ 70 Β· ⏱️ 14.11.2021): ``` - pip install pyod + pip install datasette ```
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Gradio (πŸ₯‡28 Β· ⭐ 3.4K) - Wrap UIs around any model, share with anyone. Apache-2 +
Autograd (πŸ₯‡29 Β· ⭐ 5.5K Β· πŸ’€) - Efficiently computes derivatives of numpy code. MIT -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 210 Β· πŸ“¦ 270 Β· πŸ“‹ 160 - 10% open Β· ⏱️ 25.08.2021): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 780 Β· πŸ“¦ 2.6K Β· πŸ“‹ 380 - 42% open Β· ⏱️ 03.03.2021): ``` - git clone https://github.com/gradio-app/gradio - ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 13K / month Β· πŸ“¦ 2 Β· ⏱️ 24.08.2021): - ``` - pip install gradio + git clone https://github.com/HIPS/autograd ``` -
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carla (πŸ₯ˆ27 Β· ⭐ 6.4K) - Open-source simulator for autonomous driving research. MIT - -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.9K Β· πŸ“¦ 82 Β· πŸ“‹ 3.4K - 11% open Β· ⏱️ 02.08.2021): - +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.5M / month Β· πŸ“¦ 340 Β· ⏱️ 25.07.2019): ``` - git clone https://github.com/carla-simulator/carla + pip install autograd ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 1.7K / month Β· πŸ“¦ 4 Β· ⏱️ 02.08.2021): +- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 190K Β· ⏱️ 25.07.2019): ``` - pip install carla + conda install -c conda-forge autograd ```
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DeepChem (πŸ₯ˆ27 Β· ⭐ 3.1K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
Gradio (πŸ₯‡29 Β· ⭐ 4.1K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1K Β· πŸ“¦ 50 Β· πŸ“‹ 1.3K - 31% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 250 Β· πŸ“¦ 410 Β· πŸ“‹ 210 - 11% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/deepchem/deepchem + git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 5.3K / month Β· πŸ“¦ 4 Β· ⏱️ 24.08.2021): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 82K / month Β· πŸ“¦ 2 Β· ⏱️ 10.11.2021): ``` - pip install deepchem + pip install gradio ```
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hdbscan (πŸ₯ˆ27 Β· ⭐ 2K) - A high performance implementation of HDBSCAN clustering. BSD-3 +
hdbscan (πŸ₯ˆ28 Β· ⭐ 2K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 340 Β· πŸ“¦ 960 Β· πŸ“‹ 380 - 61% open Β· ⏱️ 07.04.2021): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 370 Β· πŸ“¦ 1.1K Β· πŸ“‹ 400 - 62% open Β· ⏱️ 25.10.2021): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 390K / month Β· πŸ“¦ 120 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 340K / month Β· πŸ“¦ 120 Β· ⏱️ 03.02.2021): ``` pip install hdbscan ``` -- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 800K Β· ⏱️ 14.02.2021): +- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 970K Β· ⏱️ 14.02.2021): ``` conda install -c conda-forge hdbscan ```
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Pythran (πŸ₯ˆ27 Β· ⭐ 1.6K) - Ahead of Time compiler for numeric kernels. BSD-3 +
Pythran (πŸ₯ˆ28 Β· ⭐ 1.6K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 150 Β· πŸ“¦ 61 Β· πŸ“‹ 710 - 15% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 160 Β· πŸ“¦ 80 Β· πŸ“‹ 730 - 15% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 50K / month Β· πŸ“¦ 26 Β· ⏱️ 14.07.2021): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 180K / month Β· πŸ“¦ 26 Β· ⏱️ 14.09.2021): ``` pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 190K Β· ⏱️ 22.07.2021): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 210K Β· ⏱️ 05.11.2021): ``` conda install -c conda-forge pythran ```
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agate (πŸ₯ˆ27 Β· ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT +
agate (πŸ₯ˆ28 Β· ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 130 Β· πŸ“¦ 610 Β· πŸ“‹ 680 - 7% open Β· ⏱️ 15.07.2021): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 130 Β· πŸ“¦ 670 Β· πŸ“‹ 680 - 7% open Β· ⏱️ 15.07.2021): ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 720K / month Β· πŸ“¦ 240 Β· ⏱️ 15.07.2021): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 910K / month Β· πŸ“¦ 240 Β· ⏱️ 15.07.2021): ``` pip install agate ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 69K Β· ⏱️ 16.07.2021): +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 73K Β· ⏱️ 16.07.2021): ``` conda install -c conda-forge agate ```
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TabPy (πŸ₯ˆ26 Β· ⭐ 1.1K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT +
carla (πŸ₯ˆ27 Β· ⭐ 6.8K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 420 Β· πŸ“¦ 71 Β· πŸ“‹ 280 - 5% open Β· ⏱️ 12.08.2021): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 2K Β· πŸ“¦ 99 Β· πŸ“‹ 3.6K - 14% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/tableau/TabPy + git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 14K / month Β· ⏱️ 20.08.2021): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 2.4K / month Β· πŸ“¦ 4 Β· ⏱️ 17.11.2021): ``` - pip install tabpy + pip install carla + ``` +
+
DeepChem (πŸ₯ˆ27 Β· ⭐ 3.3K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT + +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.2K Β· πŸ“¦ 62 Β· πŸ“‹ 1.4K - 30% open Β· ⏱️ 17.11.2021): + + ``` + git clone https://github.com/deepchem/deepchem + ``` +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 6.1K / month Β· πŸ“¦ 4 Β· ⏱️ 17.11.2021): + ``` + pip install deepchem + ``` +
+
kmodes (πŸ₯ˆ27 Β· ⭐ 920) - Python implementations of the k-modes and k-prototypes clustering.. MIT + +- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 350 Β· πŸ“¦ 860 Β· πŸ“‹ 140 - 13% open Β· ⏱️ 08.10.2021): + + ``` + git clone https://github.com/nicodv/kmodes + ``` +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 280K / month Β· πŸ“¦ 26 Β· ⏱️ 08.10.2021): + ``` + pip install kmodes ```
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PaddleHub (πŸ₯ˆ25 Β· ⭐ 6.9K) - Awesome pre-trained models toolkit based on.. Apache-2 +
PaddleHub (πŸ₯ˆ26 Β· ⭐ 7.2K) - Awesome pre-trained models toolkit based on.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 1.4K Β· πŸ“₯ 550 Β· πŸ“¦ 440 Β· πŸ“‹ 910 - 33% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.4K Β· πŸ“₯ 560 Β· πŸ“¦ 550 Β· πŸ“‹ 960 - 36% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 6.9K / month Β· ⏱️ 27.04.2021): +- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 10K / month Β· ⏱️ 27.09.2021): ``` pip install paddlehub ```
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Trax (πŸ₯ˆ25 Β· ⭐ 6.4K) - Trax Deep Learning with Clear Code and Speed. Apache-2 +
TabPy (πŸ₯ˆ26 Β· ⭐ 1.2K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT + +- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 430 Β· πŸ“¦ 76 Β· πŸ“‹ 280 - 5% open Β· ⏱️ 11.10.2021): + + ``` + git clone https://github.com/tableau/TabPy + ``` +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 13K / month Β· ⏱️ 20.08.2021): + ``` + pip install tabpy + ``` +
+
Trax (πŸ₯ˆ25 Β· ⭐ 6.6K) - Trax Deep Learning with Clear Code and Speed. Apache-2 -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 630 Β· πŸ“¦ 33 Β· πŸ“‹ 200 - 39% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 660 Β· πŸ“¦ 38 Β· πŸ“‹ 200 - 40% open Β· ⏱️ 16.11.2021): ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4.2K / month Β· ⏱️ 21.05.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 3.9K / month Β· ⏱️ 26.10.2021): ``` pip install trax ```
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causalml (πŸ₯ˆ25 Β· ⭐ 2.2K) - Uplift modeling and causal inference with machine learning.. Apache-2 +
causalml (πŸ₯ˆ25 Β· ⭐ 2.4K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 320 Β· πŸ“¦ 29 Β· πŸ“‹ 210 - 23% open Β· ⏱️ 02.08.2021): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 370 Β· πŸ“¦ 32 Β· πŸ“‹ 220 - 21% open Β· ⏱️ 12.11.2021): ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 41K / month Β· ⏱️ 02.08.2021): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 54K / month Β· ⏱️ 02.08.2021): ``` pip install causalml ```
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PennyLane (πŸ₯ˆ25 Β· ⭐ 980) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 +
tensorly (πŸ₯ˆ25 Β· ⭐ 1.1K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 290 Β· πŸ“₯ 59 Β· πŸ“‹ 480 - 26% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 220 Β· πŸ“¦ 190 Β· πŸ“‹ 170 - 27% open Β· ⏱️ 08.11.2021): ``` - git clone https://github.com/PennyLaneAI/PennyLane + git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 8.2K / month Β· πŸ“¦ 20 Β· ⏱️ 17.08.2021): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 6.6K / month Β· πŸ“¦ 20 Β· ⏱️ 08.11.2021): ``` - pip install pennylane + pip install tensorly + ``` +- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 180K Β· ⏱️ 07.12.2020): + ``` + conda install -c conda-forge tensorly ```
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kmodes (πŸ₯ˆ25 Β· ⭐ 890) - Python implementations of the k-modes and k-prototypes clustering.. MIT +
PennyLane (πŸ₯ˆ25 Β· ⭐ 1.1K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 350 Β· πŸ“¦ 730 Β· πŸ“‹ 130 - 14% open Β· ⏱️ 15.07.2021): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 320 Β· πŸ“₯ 59 Β· πŸ“‹ 560 - 27% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/nicodv/kmodes + git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 180K / month Β· πŸ“¦ 26 Β· ⏱️ 13.02.2021): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 12K / month Β· πŸ“¦ 20 Β· ⏱️ 09.11.2021): ``` - pip install kmodes + pip install pennylane ```
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pyclustering (πŸ₯ˆ25 Β· ⭐ 860) - pyclustring is a Python, C++ data mining library. BSD-3 +
pyclustering (πŸ₯ˆ25 Β· ⭐ 890 Β· πŸ’€) - pyclustring is a Python, C++ data mining library. BSD-3 -- [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 200 Β· πŸ“₯ 360 Β· πŸ“¦ 220 Β· πŸ“‹ 640 - 8% open Β· ⏱️ 12.02.2021): +- [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 210 Β· πŸ“₯ 370 Β· πŸ“¦ 250 Β· πŸ“‹ 640 - 8% open Β· ⏱️ 12.02.2021): ``` git clone https://github.com/annoviko/pyclustering ``` -- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 44K / month Β· πŸ“¦ 36 Β· ⏱️ 25.11.2020): +- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 46K / month Β· πŸ“¦ 36 Β· ⏱️ 25.11.2020): ``` pip install pyclustering ``` -- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 28K Β· ⏱️ 14.07.2021): +- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 31K Β· ⏱️ 13.09.2021): ``` conda install -c conda-forge pyclustering ```
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metric-learn (πŸ₯ˆ24 Β· ⭐ 1.2K) - Metric learning algorithms in Python. MIT +
pyjanitor (πŸ₯ˆ25 Β· ⭐ 770) - Clean APIs for data cleaning. Python implementation of R package Janitor. MIT + +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 130 Β· πŸ“¦ 130 Β· πŸ“‹ 430 - 23% open Β· ⏱️ 02.11.2021): + + ``` + git clone https://github.com/pyjanitor-devs/pyjanitor + ``` +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 22K / month Β· πŸ“¦ 4 Β· ⏱️ 01.09.2021): + ``` + pip install pyjanitor + ``` +- [Conda](https://anaconda.org/conda-forge/pyjanitor) (πŸ“₯ 110K Β· ⏱️ 01.09.2021): + ``` + conda install -c conda-forge pyjanitor + ``` +
+
metric-learn (πŸ₯‰24 Β· ⭐ 1.2K) - Metric learning algorithms in Python. MIT -- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 220 Β· πŸ“¦ 160 Β· πŸ“‹ 160 - 31% open Β· ⏱️ 26.04.2021): +- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 220 Β· πŸ“¦ 170 Β· πŸ“‹ 170 - 30% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 120K / month Β· πŸ“¦ 18 Β· ⏱️ 02.07.2020): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 6.7K / month Β· πŸ“¦ 18 Β· ⏱️ 02.07.2020): ``` pip install metric-learn ```
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pycm (πŸ₯ˆ24 Β· ⭐ 1.1K) - Multi-class confusion matrix library in Python. MIT +
pycm (πŸ₯‰24 Β· ⭐ 1.2K) - Multi-class confusion matrix library in Python. MIT -- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 98 Β· πŸ“¦ 110 Β· πŸ“‹ 170 - 6% open Β· ⏱️ 11.08.2021): +- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 100 Β· πŸ“¦ 120 Β· πŸ“‹ 180 - 8% open Β· ⏱️ 27.10.2021): ``` git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 21K / month Β· πŸ“¦ 10 Β· ⏱️ 11.08.2021): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 36K / month Β· πŸ“¦ 10 Β· ⏱️ 27.10.2021): ``` pip install pycm ```
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pyopencl (πŸ₯ˆ24 Β· ⭐ 840) - OpenCL integration for Python, plus shiny features. MIT +
pyopencl (πŸ₯‰24 Β· ⭐ 850) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 210 Β· πŸ“¦ 550 Β· πŸ“‹ 290 - 21% open Β· ⏱️ 16.08.2021): +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 210 Β· πŸ“¦ 580 Β· πŸ“‹ 300 - 23% open Β· ⏱️ 20.10.2021): ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 11K / month Β· πŸ“¦ 240 Β· ⏱️ 07.07.2021): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 14K / month Β· πŸ“¦ 240 Β· ⏱️ 18.10.2021): ``` pip install pyopencl ``` -- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 490K Β· ⏱️ 07.07.2021): +- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 530K Β· ⏱️ 04.11.2021): ``` conda install -c conda-forge pyopencl ```
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PySwarms (πŸ₯ˆ24 Β· ⭐ 820) - A research toolkit for particle swarm optimization in Python. MIT +
PySwarms (πŸ₯‰24 Β· ⭐ 850) - A research toolkit for particle swarm optimization in Python. MIT -- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 260 Β· πŸ“¦ 130 Β· πŸ“‹ 200 - 8% open Β· ⏱️ 23.06.2021): +- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 270 Β· πŸ“¦ 140 Β· πŸ“‹ 200 - 8% open Β· ⏱️ 23.06.2021): ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 17K / month Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 36K / month Β· ⏱️ 03.01.2021): ``` pip install pyswarms ```
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pyjanitor (πŸ₯ˆ24 Β· ⭐ 730) - Clean APIs for data cleaning. Python implementation of R package Janitor. MIT - -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 130 Β· πŸ“¦ 100 Β· πŸ“‹ 410 - 24% open Β· ⏱️ 23.08.2021): - - ``` - git clone https://github.com/pyjanitor-devs/pyjanitor - ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 9.6K / month Β· πŸ“¦ 4 Β· ⏱️ 16.07.2021): - ``` - pip install pyjanitor - ``` -- [Conda](https://anaconda.org/conda-forge/pyjanitor) (πŸ“₯ 100K Β· ⏱️ 16.07.2021): - ``` - conda install -c conda-forge pyjanitor - ``` -
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findspark (πŸ₯ˆ24 Β· ⭐ 410) - Find pyspark to make it importable. BSD-3 +
modAL (πŸ₯‰23 Β· ⭐ 1.5K Β· πŸ’€) - A modular active learning framework for Python. MIT -- [GitHub](https://github.com/minrk/findspark) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 66 Β· πŸ“¦ 1.9K Β· πŸ“‹ 20 - 55% open Β· ⏱️ 14.06.2021): +- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 220 Β· πŸ“₯ 18 Β· πŸ“¦ 110 Β· πŸ“‹ 120 - 53% open Β· ⏱️ 07.01.2021): ``` - git clone https://github.com/minrk/findspark - ``` -- [PyPi](https://pypi.org/project/findspark) (πŸ“₯ 1.5M / month Β· πŸ“¦ 200 Β· ⏱️ 08.06.2020): - ``` - pip install findspark + git clone https://github.com/modAL-python/modAL ``` -- [Conda](https://anaconda.org/conda-forge/findspark) (πŸ“₯ 570K Β· ⏱️ 06.07.2018): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 2.1K / month Β· πŸ“¦ 8 Β· ⏱️ 07.01.2021): ``` - conda install -c conda-forge findspark + pip install modAL ```
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modAL (πŸ₯‰23 Β· ⭐ 1.4K Β· πŸ’€) - A modular active learning framework for Python. MIT +
alibi-detect (πŸ₯‰23 Β· ⭐ 940) - Algorithms for outlier, adversarial and drift detection. Apache-2 -- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 210 Β· πŸ“₯ 16 Β· πŸ“¦ 96 Β· πŸ“‹ 110 - 53% open Β· ⏱️ 07.01.2021): +- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 97 Β· πŸ“¦ 46 Β· πŸ“‹ 180 - 37% open Β· ⏱️ 15.11.2021): ``` - git clone https://github.com/modAL-python/modAL + git clone https://github.com/SeldonIO/alibi-detect ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 3.1K / month Β· πŸ“¦ 8 Β· ⏱️ 07.01.2021): +- [PyPi](https://pypi.org/project/alibi-detect) (πŸ“₯ 14K / month Β· πŸ“¦ 2 Β· ⏱️ 29.10.2021): ``` - pip install modAL + pip install alibi-detect ```
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tensorly (πŸ₯‰23 Β· ⭐ 1.1K) - TensorLy: Tensor Learning in Python. BSD-2 +
findspark (πŸ₯‰23 Β· ⭐ 420) - Find pyspark to make it importable. BSD-3 -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 210 Β· πŸ“¦ 160 Β· πŸ“‹ 160 - 24% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/minrk/findspark) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 66 Β· πŸ“¦ 2.1K Β· πŸ“‹ 21 - 52% open Β· ⏱️ 14.06.2021): ``` - git clone https://github.com/tensorly/tensorly + git clone https://github.com/minrk/findspark ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 5.6K / month Β· πŸ“¦ 20 Β· ⏱️ 14.04.2021): +- [PyPi](https://pypi.org/project/findspark) (πŸ“₯ 1.6M / month Β· πŸ“¦ 200 Β· ⏱️ 08.06.2020): ``` - pip install tensorly + pip install findspark ``` -- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 160K Β· ⏱️ 07.12.2020): +- [Conda](https://anaconda.org/conda-forge/findspark) (πŸ“₯ 590K Β· ⏱️ 06.07.2018): ``` - conda install -c conda-forge tensorly + conda install -c conda-forge findspark ```
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Mars (πŸ₯‰22 Β· ⭐ 2.2K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 +
Mars (πŸ₯‰22 Β· ⭐ 2.3K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 -- [GitHub](https://github.com/mars-project/mars) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 270 Β· πŸ“‹ 870 - 15% open Β· ⏱️ 26.08.2021): +- [GitHub](https://github.com/mars-project/mars) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 280 Β· πŸ“‹ 920 - 15% open Β· ⏱️ 17.11.2021): ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 6.4K / month Β· ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 3.6K / month Β· ⏱️ 23.10.2021): ``` pip install pymars ```
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gplearn (πŸ₯‰22 Β· ⭐ 990) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 +
gplearn (πŸ₯‰22 Β· ⭐ 1K) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 -- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 170 Β· πŸ“¦ 180 Β· πŸ“‹ 160 - 24% open Β· ⏱️ 01.07.2021): +- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 180 Β· πŸ“¦ 200 Β· πŸ“‹ 170 - 26% open Β· ⏱️ 18.10.2021): ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 2.5K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2019): +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 4K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2019): ``` pip install gplearn ```
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alibi-detect (πŸ₯‰22 Β· ⭐ 820) - Algorithms for outlier, adversarial and drift detection. Apache-2 +
Prince (πŸ₯‰22 Β· ⭐ 720) - Python factor analysis library (PCA, CA, MCA, MFA, FAMD). MIT -- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 90 Β· πŸ“¦ 33 Β· πŸ“‹ 160 - 46% open Β· ⏱️ 24.08.2021): +- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 160 Β· πŸ“‹ 100 - 34% open Β· ⏱️ 08.10.2021): ``` - git clone https://github.com/SeldonIO/alibi-detect + git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/alibi-detect) (πŸ“₯ 10K / month Β· πŸ“¦ 2 Β· ⏱️ 17.08.2021): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 18K / month Β· πŸ“¦ 6 Β· ⏱️ 06.10.2020): ``` - pip install alibi-detect + pip install prince ```
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Prince (πŸ₯‰22 Β· ⭐ 690 Β· πŸ’€) - Python factor analysis library (PCA, CA, MCA, MFA, FAMD). MIT +
AugLy (πŸ₯‰20 Β· ⭐ 3.9K Β· 🐣) - A data augmentations library for audio, image, text, and video. MIT -- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 120 Β· πŸ“¦ 140 Β· πŸ“‹ 99 - 33% open Β· ⏱️ 11.01.2021): +- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 200 Β· πŸ“¦ 18 Β· πŸ“‹ 58 - 34% open Β· ⏱️ 26.10.2021): ``` - git clone https://github.com/MaxHalford/prince + git clone https://github.com/facebookresearch/AugLy ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 06.10.2020): +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 1.9K / month Β· ⏱️ 18.10.2021): ``` - pip install prince + pip install augly + ``` +
+
StreamAlert (πŸ₯‰20 Β· ⭐ 2.6K) - StreamAlert is a serverless, realtime data analysis framework.. Apache-2 + +- [GitHub](https://github.com/airbnb/streamalert) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 320 Β· πŸ“‹ 340 - 24% open Β· ⏱️ 04.11.2021): + + ``` + git clone https://github.com/airbnb/streamalert ```
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scikit-rebate (πŸ₯‰21 Β· ⭐ 330) - A scikit-learn-compatible Python implementation of ReBATE, a.. MIT +
scikit-rebate (πŸ₯‰20 Β· ⭐ 330 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT -- [GitHub](https://github.com/EpistasisLab/scikit-rebate) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 60 Β· πŸ“¦ 140 Β· πŸ“‹ 32 - 40% open Β· ⏱️ 15.02.2021): +- [GitHub](https://github.com/EpistasisLab/scikit-rebate) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 60 Β· πŸ“‹ 32 - 40% open Β· ⏱️ 15.02.2021): ``` git clone https://github.com/EpistasisLab/scikit-rebate ``` -- [PyPi](https://pypi.org/project/skrebate) (πŸ“₯ 3.2K / month Β· πŸ“¦ 62 Β· ⏱️ 20.03.2021): +- [PyPi](https://pypi.org/project/skrebate) (πŸ“₯ 2.1K / month Β· πŸ“¦ 62 Β· ⏱️ 20.03.2021): ``` pip install skrebate ```
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AstroML (πŸ₯‰20 Β· ⭐ 770) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 +
AstroML (πŸ₯‰19 Β· ⭐ 780 Β· πŸ’€) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 - [GitHub](https://github.com/astroML/astroML) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 270 Β· πŸ“‹ 140 - 38% open Β· ⏱️ 07.04.2021): @@ -9099,122 +9138,98 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install astroML ``` -- [Conda](https://anaconda.org/conda-forge/astroml) (πŸ“₯ 25K Β· ⏱️ 16.02.2020): +- [Conda](https://anaconda.org/conda-forge/astroml) (πŸ“₯ 26K Β· ⏱️ 16.02.2020): ``` conda install -c conda-forge astroml ```
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Feature Engine (πŸ₯‰20 Β· ⭐ 600) - Feature engineering package with sklearn like functionality. BSD-3 - -- [GitHub](https://github.com/solegalli/feature_engine) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 170 Β· ⏱️ 06.08.2021): - - ``` - git clone https://github.com/solegalli/feature_engine - ``` -- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 30K / month Β· πŸ“¦ 2 Β· ⏱️ 06.08.2021): - ``` - pip install feature_engine - ``` -- [Conda](https://anaconda.org/conda-forge/feature_engine) (πŸ“₯ 4.7K Β· ⏱️ 06.08.2021): - ``` - conda install -c conda-forge feature_engine - ``` -
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AugLy (πŸ₯‰19 Β· ⭐ 3.8K Β· 🐣) - A data augmentations library for audio, image, text, and video. MIT +
baikal (πŸ₯‰19 Β· ⭐ 580 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 -- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 180 Β· πŸ“¦ 6 Β· πŸ“‹ 40 - 27% open Β· ⏱️ 15.08.2021): +- [GitHub](https://github.com/alegonz/baikal) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 29 Β· πŸ“¦ 3 Β· πŸ“‹ 20 - 30% open Β· ⏱️ 11.04.2021): ``` - git clone https://github.com/facebookresearch/AugLy - ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 1.4K / month Β· ⏱️ 20.07.2021): - ``` - pip install augly + git clone https://github.com/alegonz/baikal ``` -
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StreamAlert (πŸ₯‰19 Β· ⭐ 2.6K) - StreamAlert is a serverless, realtime data analysis framework.. Apache-2 - -- [GitHub](https://github.com/airbnb/streamalert) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 320 Β· πŸ“‹ 340 - 24% open Β· ⏱️ 10.02.2021): - +- [PyPi](https://pypi.org/project/baikal) (πŸ“₯ 340 / month Β· ⏱️ 15.11.2020): ``` - git clone https://github.com/airbnb/streamalert + pip install baikal ``` -
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River (πŸ₯‰19 Β· ⭐ 1.9K) - Online machine learning in Python. BSD-3 - -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 230 Β· πŸ“¦ 33 Β· πŸ“‹ 340 - 8% open Β· ⏱️ 24.08.2021): - +- [Conda](https://anaconda.org/conda-forge/cython-blis) (πŸ“₯ 1.1M Β· ⏱️ 04.11.2021): ``` - git clone https://github.com/online-ml/river + conda install -c conda-forge cython-blis ```
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apricot (πŸ₯‰19 Β· ⭐ 330) - apricot implements submodular optimization for the purpose of selecting.. MIT +
apricot (πŸ₯‰19 Β· ⭐ 380) - apricot implements submodular optimization for the purpose of selecting.. MIT -- [GitHub](https://github.com/jmschrei/apricot) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 32 Β· πŸ“₯ 9 Β· πŸ“¦ 20 Β· πŸ“‹ 20 - 15% open Β· ⏱️ 12.08.2021): +- [GitHub](https://github.com/jmschrei/apricot) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 35 Β· πŸ“₯ 9 Β· πŸ“¦ 21 Β· πŸ“‹ 23 - 21% open Β· ⏱️ 28.10.2021): ``` git clone https://github.com/jmschrei/apricot ``` -- [PyPi](https://pypi.org/project/apricot-select) (πŸ“₯ 550 / month Β· ⏱️ 28.09.2020): +- [PyPi](https://pypi.org/project/apricot-select) (πŸ“₯ 350 / month Β· ⏱️ 28.09.2020): ``` pip install apricot-select ```
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opyrator (πŸ₯‰18 Β· ⭐ 2.4K Β· 🐣) - Turns your machine learning code into microservices with web API,.. MIT +
opyrator (πŸ₯‰18 Β· ⭐ 2.5K) - Turns your machine learning code into microservices with web API,.. MIT -- [GitHub](https://github.com/ml-tooling/opyrator) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 100 Β· πŸ“¦ 24 Β· πŸ“‹ 27 - 51% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/ml-tooling/opyrator) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 100 Β· πŸ“¦ 26 Β· πŸ“‹ 36 - 38% open Β· ⏱️ 06.05.2021): ``` git clone https://github.com/ml-tooling/opyrator ``` -- [PyPi](https://pypi.org/project/opyrator) (πŸ“₯ 530 / month Β· ⏱️ 04.05.2021): +- [PyPi](https://pypi.org/project/opyrator) (πŸ“₯ 280 / month Β· ⏱️ 04.05.2021): ``` pip install opyrator ```
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baikal (πŸ₯‰18 Β· ⭐ 580) - A graph-based functional API for building complex scikit-learn pipelines. BSD-3 +
avalanche (πŸ₯‰18 Β· ⭐ 660) - Avalanche: an End-to-End Library for Continual Learning. MIT -- [GitHub](https://github.com/alegonz/baikal) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 29 Β· πŸ“¦ 3 Β· πŸ“‹ 20 - 30% open Β· ⏱️ 11.04.2021): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 100 Β· πŸ“‹ 440 - 16% open Β· ⏱️ 16.11.2021): ``` - git clone https://github.com/alegonz/baikal - ``` -- [PyPi](https://pypi.org/project/baikal) (πŸ“₯ 730 / month Β· ⏱️ 15.11.2020): - ``` - pip install baikal - ``` -- [Conda](https://anaconda.org/conda-forge/cython-blis) (πŸ“₯ 990K Β· ⏱️ 31.01.2021): - ``` - conda install -c conda-forge cython-blis + git clone https://github.com/ContinualAI/avalanche ```
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BioPandas (πŸ₯‰18 Β· ⭐ 370) - Working with molecular structures in pandas DataFrames. BSD-3 +
BioPandas (πŸ₯‰18 Β· ⭐ 390) - Working with molecular structures in pandas DataFrames. BSD-3 -- [GitHub](https://github.com/rasbt/biopandas) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 85 Β· πŸ“‹ 38 - 42% open Β· ⏱️ 30.07.2021): +- [GitHub](https://github.com/rasbt/biopandas) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 89 Β· πŸ“‹ 39 - 38% open Β· ⏱️ 24.09.2021): ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 940 / month Β· πŸ“¦ 6 Β· ⏱️ 03.03.2021): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 1.9K / month Β· πŸ“¦ 6 Β· ⏱️ 24.09.2021): ``` pip install biopandas ``` -- [Conda](https://anaconda.org/conda-forge/biopandas) (πŸ“₯ 84K Β· ⏱️ 08.08.2020): +- [Conda](https://anaconda.org/conda-forge/biopandas) (πŸ“₯ 91K Β· ⏱️ 31.08.2021): ``` conda install -c conda-forge biopandas ```
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avalanche (πŸ₯‰17 Β· ⭐ 570) - Avalanche: an End-to-End Library for Continual Learning. MIT +
River (πŸ₯‰17 Β· ⭐ 2.8K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 84 Β· πŸ“‹ 390 - 15% open Β· ⏱️ 23.08.2021): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 310 Β· πŸ“¦ 48 Β· πŸ“‹ 330 - 2% open Β· ⏱️ 17.11.2021): ``` - git clone https://github.com/ContinualAI/avalanche + git clone https://github.com/online-ml/river + ``` +
+
pykale (πŸ₯‰14 Β· ⭐ 300) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT + +- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 32 Β· πŸ“‹ 67 - 14% open Β· ⏱️ 17.11.2021): + + ``` + git clone https://github.com/pykale/pykale + ``` +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 87 / month Β· ⏱️ 13.10.2021): + ``` + pip install pykale ```
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traingenerator (πŸ₯‰11 Β· ⭐ 1.1K) - A web app to generate template code for machine learning. MIT +
traingenerator (πŸ₯‰12 Β· ⭐ 1.1K Β· πŸ’€) - A web app to generate template code for machine learning. MIT -- [GitHub](https://github.com/jrieke/traingenerator) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 140 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 29.04.2021): +- [GitHub](https://github.com/jrieke/traingenerator) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 160 Β· πŸ“‹ 16 - 81% open Β· ⏱️ 29.04.2021): ``` git clone https://github.com/jrieke/traingenerator @@ -9222,20 +9237,20 @@ _Libraries for connecting to, operating, and querying databases._
Show 14 hidden projects... -- pysc2 (πŸ₯ˆ26 Β· ⭐ 7.3K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 -- Cython BLIS (πŸ₯ˆ26 Β· ⭐ 170) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 -- minisom (πŸ₯ˆ24 Β· ⭐ 900) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 -- datalad (πŸ₯ˆ24 Β· ⭐ 250) - Keep code, data, containers under control with git and git-annex. MIT -- cleanlab (πŸ₯‰21 Β· ⭐ 2.1K) - The standard package for machine learning with noisy labels and.. ❗️AGPL-3.0 +- Cython BLIS (πŸ₯‡29 Β· ⭐ 180 Β· πŸ“ˆ) - Fast matrix-multiplication as a self-contained Python library.. BSD-3 +- pysc2 (πŸ₯ˆ25 Β· ⭐ 7.4K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 +- datalad (πŸ₯ˆ25 Β· ⭐ 270) - Keep code, data, containers under control with git and git-annex. MIT +- minisom (πŸ₯‰23 Β· ⭐ 960) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 +- SUOD (πŸ₯‰22 Β· ⭐ 300) - (MLSys' 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 +- impyute (πŸ₯‰21 Β· ⭐ 300) - Data imputations library to preprocess datasets with missing data. MIT +- cleanlab (πŸ₯‰20 Β· ⭐ 2.4K) - The standard package for machine learning with noisy labels,.. ❗️AGPL-3.0 - mlens (πŸ₯‰20 Β· ⭐ 700 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT -- impyute (πŸ₯‰20 Β· ⭐ 290 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT -- SUOD (πŸ₯‰20 Β· ⭐ 280 Β· πŸ’€) - (MLSys' 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 -- vecstack (πŸ₯‰19 Β· ⭐ 630 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT -- rrcf (πŸ₯‰19 Β· ⭐ 320 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT +- rrcf (πŸ₯‰20 Β· ⭐ 340 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT +- vecstack (πŸ₯‰19 Β· ⭐ 640 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT - pandas-ml (πŸ₯‰19 Β· ⭐ 280 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 -- pykale (πŸ₯‰14 Β· ⭐ 260) - Knowledge-Aware machine LEarning (KALE) from multiple sources in Python. MIT -- dstack (πŸ₯‰13 Β· ⭐ 180) - An open-source tool to rapidly develop data applications with Python. Apache-2 -- nylon (πŸ₯‰12 Β· ⭐ 71 Β· 🐣) - An intelligent, flexible grammar of machine learning. MIT +- Feature Engine (πŸ₯‰16 Β· ⭐ 5 Β· πŸ“‰) - Feature engineering package with sklearn like functionality. BSD-3 +- dstack (πŸ₯‰12 Β· ⭐ 180) - An open-source tool to rapidly develop data applications with Python. Apache-2 +- nylon (πŸ₯‰11 Β· ⭐ 77 Β· 🐣) - An intelligent, flexible grammar of machine learning. MIT
--- diff --git a/history/2021-11-17_changes.md b/history/2021-11-17_changes.md new file mode 100644 index 00000000..d5371d03 --- /dev/null +++ b/history/2021-11-17_changes.md @@ -0,0 +1,37 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- PyOD (πŸ₯‡31 Β· ⭐ 5K Β· πŸ“ˆ) - A Python Toolbox for Scalable Outlier Detection (Anomaly Detection). BSD-2 +- einops (πŸ₯ˆ30 Β· ⭐ 3.9K Β· πŸ“ˆ) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT +- category_encoders (πŸ₯ˆ30 Β· ⭐ 1.8K Β· πŸ“ˆ) - A library of sklearn compatible categorical variable.. BSD-3 +- Milvus (πŸ₯‡29 Β· ⭐ 8.8K Β· πŸ“ˆ) - An open-source vector database for embedding similarity search.. Apache-2 +- Cython BLIS (πŸ₯‡29 Β· ⭐ 180 Β· πŸ“ˆ) - Fast matrix-multiplication as a self-contained Python library.. BSD-3 +- Core ML Tools (πŸ₯‡27 Β· ⭐ 2.4K Β· πŸ“ˆ) - Core ML tools contain supporting tools for Core ML model.. BSD-3 +- accelerate (πŸ₯‡25 Β· ⭐ 2K Β· πŸ“ˆ) - A simple way to train and use PyTorch models with multi-.. Apache-2 +- CausalNex (πŸ₯ˆ24 Β· ⭐ 1.4K Β· πŸ“ˆ) - A Python library that helps data scientists to infer.. Apache-2 +- iterative-stratification (πŸ₯‰22 Β· ⭐ 610 Β· πŸ“ˆ) - scikit-learn cross validators for iterative.. BSD-3 +- aim (πŸ₯‰20 Β· ⭐ 1.7K Β· πŸ“ˆ) - Aim an easy-to-use and performant open-source experiment tracker. Apache-2 + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- Matplotlib (πŸ₯‡38 Β· ⭐ 15K Β· πŸ“‰) - matplotlib: plotting with Python. Python-2.0 +- Pillow (πŸ₯‡35 Β· ⭐ 9.1K Β· πŸ“‰) - The friendly PIL fork (Python Imaging Library). ❗️PIL +- DVC (πŸ₯‡30 Β· ⭐ 8.9K Β· πŸ“‰) - Data Version Control | Git for Data & Models | ML Experiments.. Apache-2 +- folium (πŸ₯ˆ29 Β· ⭐ 5.5K Β· πŸ“‰) - Python Data. Leaflet.js Maps. MIT +- wandb client (πŸ₯ˆ29 Β· ⭐ 3.5K Β· πŸ“‰) - A tool for visualizing and tracking your machine learning.. MIT +- fairseq (πŸ₯ˆ27 Β· ⭐ 15K Β· πŸ“‰) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT +- Sonnet (πŸ₯‰27 Β· ⭐ 9.1K Β· πŸ“‰) - TensorFlow-based neural network library. Apache-2 +- detectron2 (πŸ₯ˆ26 Β· ⭐ 19K Β· πŸ“‰) - Detectron2 is FAIR's next-generation platform for object.. Apache-2 +- neon (πŸ₯‰19 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 +- Feature Engine (πŸ₯‰16 Β· ⭐ 5 Β· πŸ“‰) - Feature engineering package with sklearn like functionality. BSD-3 + +## βž• Added Projects + +_Projects that were recently added to this best-of list._ + +- TSFEL (πŸ₯‰20 Β· ⭐ 310 Β· βž•) - An intuitive library to extract features from time series. BSD-3 +- whylogs (πŸ₯‰18 Β· ⭐ 610 Β· βž•) - Open standard for end-to-end data and ML monitoring for any scale.. Apache-2 + diff --git a/history/2021-11-17_projects.csv b/history/2021-11-17_projects.csv new file mode 100644 index 00000000..7f5a7e5c --- /dev/null +++ b/history/2021-11-17_projects.csv @@ -0,0 +1,887 @@ +,name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,updated_github_id,apt_id,yum_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,new_addition,bitbucket_id +0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-11-17 11:32:13.000000,2021-11-01 09:00:26.000000,394,38.0,71.0,2607.0,1246.0,Benchmarks of approximate nearest neighbor libraries in Python.,62.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-11-17 18:43:58.000000,2021-11-17 18:43:57.000000,92,4.0,2.0,1366.0,,Collection of web-scraping and crawling libraries.,7.0,0,True,2021-11-17 18:45:05.000000,2021.11.17,23.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,True,data-loading,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-11-17 18:33:54.000000,2021-11-17 18:33:54.000000,136,,4.0,1819.0,,Collection of data-loading and -extraction libraries.,5.0,0,True,2021-11-17 18:34:10.000000,2021.11.17,24.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-11-17 18:33:54.000000,2021-11-17 18:33:54.000000,136,,4.0,1819.0,,Collection of database clients for python.,5.0,0,True,2021-11-17 18:34:10.000000,2021.11.17,24.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-11-17 18:21:05.000000,2021-11-17 18:19:24.000000,85814,2822.0,30686.0,162607.0,121290.0,An Open Source Machine Learning Framework for Everyone.,3856.0,44,True,2021-11-04 21:39:30.000000,2.7.0,139.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],190023.0,167499.0,https://pypi.org/project/tensorflow,2021-11-04 21:19:34.000000,22524.0,12758656.0,13657736.0,https://anaconda.org/conda-forge/tensorflow,2021-11-04 08:45:02.671000,2902632.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-11-17 14:36:20.548465,1963.0,61660492.0,1.0,,,,,,,,,,,,,,,,,,,,,, +5,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-11-17 18:43:13.000000,2021-11-17 13:54:37.000000,13469,3543.0,18185.0,31712.0,28200.0,"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..",2848.0,43,True,2021-10-17 16:42:57.000000,1.3.4,98.0,pandas,conda-forge/pandas,,,['pandas'],651038.0,574254.0,https://pypi.org/project/pandas,2021-10-17 16:42:57.000000,76784.0,70202398.0,70525208.0,https://anaconda.org/conda-forge/pandas,2021-11-06 20:35:19.852000,21216867.0,,,,,1.0,126325.0,,,,,,,,,,,,,,,,,,,,, +6,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-11-17 18:00:42.000000,2021-11-16 16:40:34.000000,3966,1824.0,6228.0,8809.0,26672.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1199.0,42,True,2021-11-06 04:56:05.000000,1.7.2,68.0,scipy,conda-forge/scipy,,,,510184.0,423322.0,https://pypi.org/project/scipy,2021-11-06 04:17:37.000000,86862.0,33435022.0,33732901.0,https://anaconda.org/conda-forge/scipy,2021-11-09 01:29:20.753000,19372181.0,,,,,1.0,331565.0,,,,,,,,,,,,,,,,,,,,, +7,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-11-17 09:52:16.000000,2021-11-17 09:52:15.000000,4134,484.0,4134.0,18225.0,11777.0,Asynchronous task queue/job queue based on distributed message passing.,1161.0,40,True,2021-11-16 14:56:22.000000,5.2.1,185.0,celery,conda-forge/celery,,,,89090.0,60856.0,https://pypi.org/project/celery,2021-11-16 14:56:13.000000,28234.0,4657399.0,4668437.0,https://anaconda.org/conda-forge/celery,2021-06-29 08:06:51.307000,750632.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +8,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-11-17 18:22:15.000000,2021-11-17 18:02:33.000000,12829,417.0,7820.0,54231.0,8335.0,"Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.",1066.0,39,True,2021-11-17 16:38:32.000000,4.12.5,79.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",18723.0,18595.0,https://pypi.org/project/transformers,2021-11-17 16:37:50.000000,128.0,3361055.0,3364398.0,https://anaconda.org/conda-forge/transformers,2021-11-17 09:42:32.048000,82616.0,,,,,1.0,1409.0,,,,,,,,,,,,,,,,,,,,, +9,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-11-17 18:16:04.000000,2021-11-17 17:29:08.000000,14250,10406.0,16056.0,52153.0,41815.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2963.0,39,True,2021-10-21 15:49:53.000000,1.10.0,36.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],6682.0,,https://pypi.org/project/torch,2021-10-21 14:45:53.000000,6682.0,6381727.0,6671094.0,https://anaconda.org/pytorch/pytorch,2021-10-20 22:42:47.223000,13889440.0,,,,,1.0,303.0,,,,,,,,,,,,,,,,,,,,, +10,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-11-17 17:04:40.000000,2021-11-17 17:03:52.000000,22237,2467.0,7245.0,47977.0,,scikit-learn: machine learning in Python.,2402.0,38,True,2021-10-25 11:00:07.000000,1.0.1,58.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],322173.0,284285.0,https://pypi.org/project/scikit-learn,2021-10-25 11:00:07.000000,37888.0,24799637.0,24957783.0,https://anaconda.org/conda-forge/scikit-learn,2021-11-13 11:24:34.144000,10436940.0,,,,,1.0,749.0,,,,,,,,,,,,,,,,,,,,, +11,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-11-17 10:34:54.000000,2021-11-16 02:51:12.000000,8212,300.0,3953.0,21855.0,5556.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",539.0,38,True,2021-10-17 17:15:49.000000,1.5.0,59.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,25296.0,23704.0,https://pypi.org/project/xgboost,2021-10-17 17:15:49.000000,1592.0,8785361.0,8822698.0,https://anaconda.org/conda-forge/xgboost,2021-10-24 20:16:54.255000,2088860.0,,,,,1.0,3372.0,,,,,,,,,,,,,,,,,,,,, +12,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-11-17 16:30:42.000000,2021-11-16 05:06:19.000000,3635,87.0,4835.0,21768.0,15176.0,Industrial-strength Natural Language Processing (NLP) in Python.,639.0,38,True,2021-11-05 15:54:48.000000,3.2.0,186.0,spacy,conda-forge/spacy,,,,34890.0,31824.0,https://pypi.org/project/spacy,2021-11-05 15:49:02.000000,3066.0,4058417.0,4101290.0,https://anaconda.org/conda-forge/spacy,2021-11-08 22:47:56.654000,2440917.0,,,,,1.0,3096.0,,,,,,,,,,,,,,,,,,,,, +13,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-11-17 18:49:08.000000,2021-11-17 18:49:08.000000,6124,2343.0,8042.0,18829.0,,The fundamental package for scientific computing with Python.,1361.0,38,True,2021-11-05 01:42:23.000000,1.21.4,104.0,numpy,conda-forge/numpy,,,,1054754.0,885032.0,https://pypi.org/project/numpy,2021-11-05 01:20:44.000000,169722.0,91600671.0,92003738.0,https://anaconda.org/conda-forge/numpy,2021-11-05 22:05:37.357000,26140961.0,,,,,1.0,419543.0,,,,,,,,,,,,,,,,,,,,, +14,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-11-17 18:28:18.000000,2021-11-16 16:20:38.000000,6156,1696.0,6651.0,14552.0,,matplotlib: plotting with Python.,1303.0,38,True,2021-11-16 07:19:21.000000,3.5.0,72.0,matplotlib,conda-forge/matplotlib,,,,537730.0,458626.0,https://pypi.org/project/matplotlib,2021-11-16 05:01:00.000000,79104.0,29077599.0,29217219.0,https://anaconda.org/conda-forge/matplotlib,2021-11-13 07:15:13.350000,10331925.0,,,,,1.0,,-4.0,,,,,,,,,,,,,,,,,,,, +15,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-11-17 01:33:48.000000,2021-10-31 20:52:06.000000,1489,97.0,1839.0,8927.0,2808.0,Statistical data visualization in Python.,158.0,38,True,2021-08-16 00:39:03.000000,0.11.2,25.0,seaborn,conda-forge/seaborn,,,,137782.0,124996.0,https://pypi.org/project/seaborn,2021-08-16 00:42:18.000000,12786.0,11131006.0,11179969.0,https://anaconda.org/conda-forge/seaborn,2021-08-16 06:42:17.619000,3084591.0,,,,,1.0,206.0,,,,,,,,,,,,,,,,,,,,, +16,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-11-17 18:00:39.000000,2021-11-17 14:50:11.000000,24756,218.0,,31354.0,31704.0,Apache Spark Python API.,2574.0,37,True,2021-10-18 08:17:19.000000,3.2.0,27.0,pyspark,conda-forge/pyspark,,,['spark'],760.0,,https://pypi.org/project/pyspark,2021-10-18 08:17:19.000000,760.0,14682478.0,14706669.0,https://anaconda.org/conda-forge/pyspark,2021-10-18 11:47:59.356000,1354724.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,,, +17,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-11-17 17:27:33.000000,2021-11-17 17:25:24.000000,2099,201.0,671.0,8661.0,10360.0,Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing.,757.0,37,True,2021-07-28 18:21:54.000000,5.0.0,34.0,pyarrow,conda-forge/arrow,,,,1042.0,56.0,https://pypi.org/project/pyarrow,2021-10-26 15:00:11.000000,986.0,34259528.0,34271951.0,https://anaconda.org/conda-forge/arrow,2021-10-26 15:18:02.635000,819979.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +18,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-11-17 18:05:49.000000,2021-11-17 10:44:56.000000,3508,4242.0,7655.0,8598.0,49206.0,A computer algebra system written in pure Python.,1115.0,37,True,2021-10-08 23:27:06.000000,sympy-1.9,39.0,sympy,conda-forge/sympy,,,,43435.0,37013.0,https://pypi.org/project/sympy,2021-10-08 23:29:29.000000,6422.0,1911585.0,1942988.0,https://anaconda.org/conda-forge/sympy,2021-11-06 22:30:34.086000,1783877.0,,,,,1.0,437583.0,,,,,,,,,,,,,,,,,,,,, +19,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-11-17 18:01:31.000000,2021-11-17 18:01:30.000000,1447,561.0,1045.0,5691.0,4857.0,TensorFlow's Visualization Toolkit.,274.0,37,True,2021-10-13 16:17:43.000000,2.7.0,39.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],88573.0,84959.0,https://pypi.org/project/tensorboard,2021-10-13 16:17:43.000000,3614.0,11085700.0,11141171.0,https://anaconda.org/conda-forge/tensorboard,2021-11-10 21:16:52.072000,2662624.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +20,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-11-17 17:25:44.000000,2021-11-14 13:59:04.000000,7337,118.0,1329.0,25707.0,1431.0,A toolkit for developing and comparing reinforcement learning algorithms.,326.0,36,True,2021-10-06 22:04:25.000000,0.21.0,96.0,gym,,,,,27931.0,24369.0,https://pypi.org/project/gym,2021-10-06 22:04:25.000000,3562.0,1035261.0,1035261.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +21,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-11-15 18:02:13.000000,2021-10-20 18:24:29.000000,2138,1191.0,557.0,14612.0,2008.0,A game theoretic approach to explain the output of any machine learning model.,162.0,36,True,2021-10-20 18:36:57.000000,0.40.0,94.0,shap,conda-forge/shap,,,,3905.0,3769.0,https://pypi.org/project/shap,2021-10-20 19:13:31.000000,136.0,4373368.0,4391146.0,https://anaconda.org/conda-forge/shap,2021-10-24 14:05:16.285000,693343.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +22,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-11-17 08:17:37.000000,2021-11-17 03:32:03.000000,3429,154.0,2324.0,13188.0,2775.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",246.0,36,True,2021-10-27 23:58:39.000000,3.3.1,27.0,lightgbm,conda-forge/lightgbm,,,,10424.0,9868.0,https://pypi.org/project/lightgbm,2021-10-27 23:58:39.000000,556.0,12715959.0,12733691.0,https://anaconda.org/conda-forge/lightgbm,2021-11-14 14:17:04.388000,802139.0,,,,,1.0,126918.0,,,,,,,,,,,,,,,,,,,,, +23,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-11-09 13:39:50.380000,2021-10-28 01:18:52.000000,4094,380.0,1357.0,12647.0,4263.0,Topic Modelling for Humans.,411.0,36,True,2021-09-18 14:21:47.000000,4.1.2,89.0,gensim,conda-forge/gensim,,,,33071.0,28329.0,https://pypi.org/project/gensim,2021-09-17 00:24:57.000000,4742.0,11723001.0,11737983.0,https://anaconda.org/conda-forge/gensim,2021-11-09 13:39:50.380000,746727.0,,,,,1.0,3500.0,,,,,,,,,,,,,,,,,,,,, +24,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-11-15 23:48:07.000000,2021-11-15 14:48:48.000000,2035,1005.0,1146.0,10531.0,5315.0,The interactive graphing library for Python (includes Plotly Express).,188.0,36,True,2021-11-15 14:40:20.000000,5.4.0,275.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-11-15 14:39:00.000000,4982.0,12400029.0,12487635.0,https://anaconda.org/conda-forge/plotly,2021-11-15 16:33:27.242000,2073101.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,54700.0,,,,,,,,,,,,,, +25,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-11-17 14:36:26.000000,2021-11-16 14:17:16.000000,431,221.0,1047.0,1616.0,3840.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,172.0,36,True,2021-11-16 09:55:10.000000,3.6.0,31.0,h5py,conda-forge/h5py,,,,162021.0,139085.0,https://pypi.org/project/h5py,2021-11-16 13:35:22.000000,22936.0,10642670.0,10740225.0,https://anaconda.org/conda-forge/h5py,2021-09-13 23:55:44.101000,6631968.0,,,,,2.0,1557.0,,,,,,,,,,,,,,,,,,,,, +26,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-11-17 18:04:09.000000,2021-11-17 15:54:41.000000,1974,411.0,3839.0,16217.0,6054.0,"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.",574.0,35,True,2021-11-16 19:31:26.000000,1.5.2,195.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],5555.0,5541.0,https://pypi.org/project/pytorch-lightning,2021-11-16 19:31:26.000000,14.0,719867.0,742100.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-11-16 22:55:46.122000,375138.0,,,,,2.0,4676.0,,,,,,,,,,,,,,,,,,,,, +27,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-11-16 20:39:46.000000,2021-11-15 17:30:19.000000,2215,481.0,1285.0,11679.0,1853.0,Open standard for machine learning interoperability.,214.0,35,True,2021-10-26 19:14:09.000000,1.10.2,24.0,onnx,conda-forge/onnx,,,,4972.0,4676.0,https://pypi.org/project/onnx,2021-10-26 19:14:09.000000,296.0,1739650.0,1746535.0,https://anaconda.org/conda-forge/onnx,2021-10-24 18:06:22.378000,313721.0,,,,,1.0,17198.0,,,,,,,,,,,,,,,,,,,,, +28,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-11-17 10:41:59.000000,2021-11-12 13:31:53.000000,2513,220.0,1346.0,10254.0,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,409.0,35,True,2021-10-11 03:49:05.000000,3.6.5,45.0,nltk,conda-forge/nltk,,,,141797.0,120805.0,https://pypi.org/project/nltk,2021-10-11 03:49:05.000000,20992.0,9307772.0,9324479.0,https://anaconda.org/conda-forge/nltk,2021-10-11 12:28:19.966000,1052554.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +29,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-11-17 15:04:16.000000,2021-11-16 23:13:02.000000,2431,317.0,2449.0,9909.0,,Network Analysis in Python.,553.0,35,True,2021-09-09 22:09:39.000000,2.6.3,59.0,networkx,conda-forge/networkx,,,,111252.0,90434.0,https://pypi.org/project/networkx,2021-09-09 22:09:39.000000,20818.0,20843535.0,20925555.0,https://anaconda.org/conda-forge/networkx,2021-10-26 12:59:30.009000,5003237.0,,,,,1.0,57.0,,,,,,,,,,,,,,,,,,,,, +30,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-11-10 16:59:17.809000,2021-04-13 19:05:58.000000,2505,680.0,2085.0,9495.0,28126.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",384.0,35,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,17266.0,11792.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,234187.0,261822.0,https://anaconda.org/conda-forge/theano,2021-11-10 16:59:17.809000,1768675.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +31,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-11-16 11:03:45.000000,2021-11-16 07:09:12.000000,1733,174.0,2184.0,9135.0,,The friendly PIL fork (Python Imaging Library).,373.0,35,True,2021-10-15 08:16:09.000000,8.4.0,84.0,Pillow,conda-forge/pillow,,,,111426.0,,https://pypi.org/project/Pillow,2021-10-15 08:10:15.000000,111426.0,35813588.0,35984880.0,https://anaconda.org/conda-forge/pillow,2021-11-10 16:07:31.860000,11476616.0,,,,,1.0,,-5.0,,,,,,,,,,,,,,,,,,,, +32,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-11-08 20:50:44.000000,2021-11-08 20:50:44.000000,315,332.0,375.0,2606.0,1385.0,Computing with Python functions.,106.0,35,True,2021-02-09 16:46:29.000000,1.0.1,102.0,joblib,conda-forge/joblib,,,,149110.0,142500.0,https://pypi.org/project/joblib,2021-10-07 14:42:42.000000,6610.0,29473250.0,29568991.0,https://anaconda.org/conda-forge/joblib,2021-10-07 20:15:36.705000,6127475.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +33,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-11-17 10:19:51.000000,2021-11-07 16:06:47.000000,2303,92.0,850.0,15141.0,4009.0,"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..",567.0,34,True,2021-11-06 14:59:15.000000,3.0.3,72.0,luigi,luigi,,,,2263.0,1587.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,793494.0,793615.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,8351.0,,,,,1.0,,,stable/luigi,,,,,,0.0,,,,,,,,,,,,, +34,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-11-17 10:38:58.000000,2021-11-16 19:20:03.000000,1666,128.0,2177.0,9203.0,3833.0,WebGL2 powered visualization framework.,179.0,34,True,2021-11-14 22:51:34.270000,8.6.4,502.0,pydeck,conda-forge/pydeck,,,['jupyter'],2454.0,1892.0,https://pypi.org/project/pydeck,2021-10-25 17:38:40.000000,2.0,595909.0,824581.0,https://anaconda.org/conda-forge/pydeck,2021-10-26 00:42:05.329000,60941.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-11-16 13:53:34.144000,560.0,225771.0,,,,,,,,,,,,,, +35,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-11-17 18:40:06.000000,2021-11-17 18:13:38.000000,1387,726.0,3342.0,9081.0,,Parallel computing with task scheduling.,485.0,34,True,2021-11-08 17:51:59.000000,2021.11.1,131.0,dask,conda-forge/dask,,,,35552.0,31636.0,https://pypi.org/project/dask,2021-11-08 17:51:59.000000,3916.0,8937149.0,9006163.0,https://anaconda.org/conda-forge/dask,2021-11-09 05:07:38.239000,4554969.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,,, +36,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-11-17 18:11:43.000000,2021-11-17 17:52:45.000000,1194,92.0,432.0,8233.0,922.0,Create HTML profiling reports from pandas DataFrame objects.,82.0,34,True,2021-09-27 23:12:22.000000,3.1.0,31.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",5950.0,5790.0,https://pypi.org/project/pandas-profiling,2021-09-27 23:12:22.000000,160.0,6417029.0,6419839.0,https://anaconda.org/conda-forge/pandas-profiling,2021-09-28 13:50:05.966000,177064.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +37,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-11-17 17:51:20.000000,2021-11-17 17:51:20.000000,1892,696.0,1996.0,4633.0,,Image processing in Python.,532.0,34,True,2021-08-24 18:20:04.000000,0.18.3,39.0,scikit-image,conda-forge/scikit-image,,,,100446.0,85672.0,https://pypi.org/project/scikit-image,2021-08-24 18:09:55.000000,14774.0,10632416.0,10678099.0,https://anaconda.org/conda-forge/scikit-image,2021-09-04 14:14:08.481000,3015104.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +38,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-11-10 10:32:28.000000,2021-11-08 07:50:00.000000,223,18.0,97.0,2403.0,5003.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",42.0,34,True,2021-11-05 12:27:02.000000,8.0.13,199.0,thinc,conda-forge/thinc,,,,18318.0,17180.0,https://pypi.org/project/thinc,2021-11-05 12:27:02.000000,1138.0,3894038.0,3923975.0,https://anaconda.org/conda-forge/thinc,2021-10-29 09:02:13.534000,1706440.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +39,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-11-16 10:44:45.000000,2021-11-16 10:44:45.000000,480,218.0,689.0,1413.0,1417.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,181.0,34,True,2021-11-10 21:09:55.000000,0.15.0,28.0,tensorflow-addons,,,,['tensorflow'],4654.0,4636.0,https://pypi.org/project/tensorflow-addons,2021-11-10 21:40:18.000000,18.0,8885576.0,8885576.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +40,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-11-17 18:58:49.000000,2021-11-17 18:49:46.000000,9588,939.0,3637.0,24081.0,,"Platform to programmatically author, schedule, and monitor workflows.",2147.0,33,True,2021-11-15 18:37:15.000000,2.2.2,97.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-11-15 16:45:23.000000,294.0,3025318.0,3681833.0,https://anaconda.org/conda-forge/airflow,2021-11-15 23:14:59.448000,470761.0,https://hub.docker.com/r/apache/airflow,2021-11-16 16:55:54.259054,299.0,50958620.0,1.0,206537.0,,stable/airflow,,,,,,,,,,,,,,,,,,, +41,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-11-07 21:14:07.000000,2021-11-07 21:14:06.000000,7126,96.0,1433.0,21637.0,1850.0,The fastai deep learning library.,605.0,33,True,2021-10-23 07:16:08.000000,2.5.3,126.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-10-23 07:16:08.000000,368.0,486412.0,486412.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +42,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-11-17 18:16:47.000000,2021-11-17 13:19:39.000000,6875,1944.0,7688.0,19746.0,11729.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",969.0,33,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],444.0,,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,675084.0,675594.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6742.0,,,,,2.0,24256.0,,,,,,,,0.0,,,,,,,,,,,,, +43,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-11-17 18:18:29.000000,2021-11-17 18:00:17.000000,3804,704.0,6076.0,15727.0,,"Interactive Data Visualization in the browser, from Python.",581.0,33,True,2021-10-13 17:43:33.000000,2.4.1,112.0,bokeh,conda-forge/bokeh,,,,46821.0,40949.0,https://pypi.org/project/bokeh,2021-10-28 21:10:44.000000,5872.0,2030621.0,2140089.0,https://anaconda.org/conda-forge/bokeh,2021-11-12 14:48:19.805000,6020750.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +44,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-11-17 14:33:17.000000,2021-11-17 13:37:24.000000,1589,541.0,611.0,15411.0,5518.0,"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.",101.0,33,True,2021-09-04 01:00:46.000000,2.0.0,142.0,dash,conda-forge/dash,,,,1761.0,153.0,https://pypi.org/project/dash,2021-09-04 00:32:40.000000,1608.0,870970.0,878696.0,https://anaconda.org/conda-forge/dash,2021-09-21 14:47:05.413000,324525.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +45,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-11-17 13:14:39.000000,2021-11-17 13:14:39.000000,2987,36.0,1931.0,10703.0,7990.0,A toolkit for making real world machine learning and data analysis applications in C++.,170.0,33,False,2021-08-14 14:21:18.000000,19.22.1,29.0,dlib,conda-forge/dlib,,,,13502.0,12144.0,https://pypi.org/project/dlib,2021-08-14 14:21:18.000000,1358.0,120329.0,126639.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,371331.0,,,,,2.0,24781.0,,,,,,,,,,,,,,,,,,,,, +46,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-11-17 15:06:30.000000,2021-11-17 07:05:36.000000,2359,932.0,1159.0,10648.0,2352.0,Open source platform for the machine learning lifecycle.,332.0,33,True,2021-10-25 21:20:30.000000,1.21.0,51.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-10-25 20:48:18.000000,154.0,15914902.0,15929095.0,https://anaconda.org/conda-forge/mlflow,2021-11-12 08:17:15.693000,439996.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +47,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-11-17 16:51:29.000000,2021-11-17 15:56:12.000000,5283,568.0,1513.0,10248.0,,"Datasets, Transforms and Models specific to Computer Vision.",442.0,33,True,2021-10-21 16:58:04.000000,0.11.1,27.0,torchvision,conda-forge/torchvision,,,['pytorch'],4612.0,,https://pypi.org/project/torchvision,2021-10-21 16:53:30.000000,4612.0,3406303.0,3409398.0,https://anaconda.org/conda-forge/torchvision,2021-09-27 23:35:13.750000,145470.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +48,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-11-16 15:24:10.000000,2021-10-27 11:52:17.000000,1254,169.0,765.0,7989.0,1612.0,Simple job queues for Python.,247.0,33,True,2021-09-09 11:33:34.000000,1.10,67.0,rq,conda-forge/rq,,,,12415.0,9091.0,https://pypi.org/project/rq,2021-09-09 11:32:32.000000,3324.0,517526.0,518524.0,https://anaconda.org/conda-forge/rq,2021-06-30 09:49:43.099000,63879.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +49,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-11-17 10:31:21.000000,2021-11-12 18:42:43.000000,630,240.0,1341.0,7054.0,3095.0,Declarative statistical visualization library for Python.,133.0,33,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,18511.0,18141.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,3426290.0,3442310.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,1025343.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +50,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-11-17 18:01:35.000000,2021-11-15 14:50:38.000000,2358,2216.0,2429.0,6839.0,,Statsmodels: statistical modeling and econometrics in Python.,344.0,33,True,2021-11-12 23:27:25.000000,0.13.1,28.0,statsmodels,conda-forge/statsmodels,,,,59701.0,53045.0,https://pypi.org/project/statsmodels,2021-11-12 23:27:25.000000,6656.0,6995013.0,7076286.0,https://anaconda.org/conda-forge/statsmodels,2021-11-13 01:23:06.115000,5282804.0,,,,,2.0,26.0,,,,,,,,,,,,,,,,,,,,, +51,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-11-17 14:17:39.000000,2021-11-17 08:46:40.000000,598,142.0,857.0,5516.0,10901.0,A hyperparameter optimization framework.,164.0,33,True,2021-10-04 06:37:16.000000,2.10.0,41.0,optuna,conda-forge/optuna,,,,2244.0,2192.0,https://pypi.org/project/optuna,2021-10-04 06:37:16.000000,52.0,964263.0,966183.0,https://anaconda.org/conda-forge/optuna,2021-10-04 08:58:48.864000,46098.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +52,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-11-17 17:31:46.000000,2021-11-17 17:27:35.000000,3253,191.0,,5085.0,33616.0,"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.",1170.0,33,True,2021-11-11 20:03:02.000000,2.34.0,45.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-11-11 18:47:17.000000,186.0,2958001.0,2958001.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +53,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-11-16 19:52:29.000000,2021-11-11 23:49:12.000000,641,397.0,825.0,2872.0,1496.0,Python tools for geographic data.,154.0,33,True,2021-10-16 06:59:55.000000,0.10.2,40.0,geopandas,conda-forge/geopandas,,,['pandas'],12050.0,10884.0,https://pypi.org/project/geopandas,2021-10-16 06:59:50.000000,1166.0,1706324.0,1724304.0,https://anaconda.org/conda-forge/geopandas,2021-10-16 09:37:12.331000,1221393.0,,,,,1.0,1259.0,,,,,,,,,,,,,,,,,,,,, +54,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-11-17 14:53:22.000000,2021-11-17 14:53:22.000000,191,72.0,321.0,952.0,1292.0,Python library for reading and writing image data.,83.0,33,True,2021-11-17 08:41:30.000000,2.10.5,36.0,imageio,conda-forge/imageio,,,,55028.0,51190.0,https://pypi.org/project/imageio,2021-11-17 08:41:26.000000,3838.0,12499750.0,12540508.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,2364021.0,,,,,1.0,13.0,,,,,,,,,,,,,,,,,,,,, +55,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-11-17 18:39:43.000000,2021-11-17 18:27:00.000000,3033,2057.0,6612.0,18172.0,10437.0,"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..",593.0,32,True,2021-11-02 18:33:14.000000,ray-1.8.0,57.0,ray,,,,,160.0,,https://pypi.org/project/ray,2021-11-02 18:23:04.000000,160.0,716619.0,716619.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +56,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-11-17 17:53:16.000000,2021-11-17 15:26:29.000000,4117,2903.0,11624.0,16957.0,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,661.0,32,True,2021-11-10 09:45:49.000000,2.2.0,50.0,paddlepaddle,,,,['paddle'],93.0,77.0,https://pypi.org/project/paddlepaddle,2021-11-03 06:51:33.000000,16.0,71296.0,71538.0,,,,,,,,2.0,15306.0,,,,,,,,,,,,,,,,,,,,, +57,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-10-27 15:54:07.000000,2020-06-01 14:58:26.000000,2137,252.0,219.0,11990.0,2913.0,Image augmentation for machine learning experiments.,36.0,32,False,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,8686.0,8130.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,261589.0,263567.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,57376.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +58,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-11-05 20:07:42.000000,2021-11-05 20:07:41.000000,2929,563.0,668.0,11763.0,4360.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,235.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1228.0,1064.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,352794.0,352794.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +59,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-11-16 07:17:28.000000,2021-11-16 06:25:52.000000,2559,24.0,1478.0,11664.0,1522.0,Python Echarts Plotting Library.,30.0,32,True,2021-11-16 06:27:35.000000,1.9.1,67.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],2189.0,1907.0,https://pypi.org/project/pyecharts,2021-11-16 06:27:35.000000,282.0,74806.0,74806.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +60,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-11-17 16:40:21.000000,2021-11-16 10:42:08.000000,1703,86.0,1606.0,10965.0,3902.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,213.0,32,True,2021-08-29 23:23:01.000000,0.9,22.0,flair,,,,['pytorch'],1065.0,1017.0,https://pypi.org/project/flair,2021-08-29 22:33:59.000000,48.0,74020.0,74020.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +61,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-11-17 13:05:26.000000,2021-11-15 18:38:08.000000,2139,100.0,2359.0,10622.0,2357.0,"An open-source NLP research library, built on PyTorch.",253.0,32,True,2021-11-01 21:44:06.000000,2.8.0,236.0,allennlp,,,,['pytorch'],2302.0,2068.0,https://pypi.org/project/allennlp,2021-11-01 21:44:06.000000,234.0,47753.0,47753.0,,,,,,,,1.0,43.0,,,,,,,,,,,,,,,,,,,,, +62,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-11-17 05:05:20.000000,2021-11-06 05:17:40.000000,1165,239.0,318.0,9151.0,683.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,96.0,32,True,2021-10-04 09:30:33.000000,1.1.0,49.0,albumentations,conda-forge/albumentations,,,['pytorch'],5804.0,5676.0,https://pypi.org/project/albumentations,2021-10-04 09:30:33.000000,128.0,214030.0,214989.0,https://anaconda.org/conda-forge/albumentations,2021-07-15 13:53:18.638000,27824.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +63,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-11-14 16:13:10.000000,2021-11-12 17:14:13.000000,1163,340.0,762.0,8720.0,1072.0,Video editing with Python.,144.0,32,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,12819.0,11689.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,1586474.0,1588340.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,97045.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +64,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-10-22 03:18:24.000000,2021-10-22 03:17:05.000000,1042,97.0,154.0,7944.0,535.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",35.0,32,True,2021-10-22 03:18:24.000000,0.17.1,57.0,textblob,conda-forge/textblob,,,,18148.0,15656.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000000,2492.0,779397.0,781654.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,142227.0,,,,,1.0,97.0,,,,,,,,,,,,,,,,,,,,, +65,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-11-17 10:05:44.000000,2021-11-17 10:02:00.000000,924,353.0,230.0,5952.0,1191.0,Distributed Asynchronous Hyperparameter Optimization in Python.,93.0,32,True,2021-11-17 10:05:44.000000,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,5672.0,5168.0,https://pypi.org/project/hyperopt,2021-11-17 10:05:44.000000,504.0,1433240.0,1440826.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,288283.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +66,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-10-29 18:12:42.000000,2021-10-21 20:41:12.000000,1131,56.0,436.0,5570.0,745.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,58.0,32,True,2021-09-29 13:11:34.000000,0.8.1,28.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],8290.0,8010.0,https://pypi.org/project/imbalanced-learn,2021-09-29 12:58:22.000000,280.0,2187863.0,2191302.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-09-29 14:10:14.261000,168551.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +67,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-11-17 13:55:11.000000,2021-11-17 13:54:37.000000,514,362.0,1231.0,5544.0,23845.0,NumPy & SciPy for GPU.,281.0,32,True,2021-11-11 07:02:21.000000,9.6.0,104.0,cupy,conda-forge/cupy,cupy/cupy,,,1060.0,868.0,https://pypi.org/project/cupy,2021-11-10 08:22:49.000000,192.0,102699.0,144961.0,https://anaconda.org/conda-forge/cupy,2021-11-12 15:11:06.183000,1023653.0,https://hub.docker.com/r/cupy/cupy,2021-11-11 07:05:26.114315,7.0,52933.0,1.0,22583.0,,,,,,,,,,,,,,,,,,,,, +68,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-11-16 01:06:48.000000,2021-11-16 01:06:48.000000,579,303.0,283.0,5193.0,1501.0,Uniform Manifold Approximation and Projection.,93.0,32,True,2021-10-29 16:33:56.000000,0.5.2,36.0,umap-learn,,,,,4263.0,4037.0,https://pypi.org/project/umap-learn,2021-10-29 16:33:56.000000,226.0,1615433.0,1615433.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +69,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-11-01 16:34:42.000000,2021-09-02 23:52:39.000000,729,99.0,295.0,3690.0,1232.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,85.0,32,True,2021-09-03 00:02:55.000000,0.19.0,47.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],4751.0,4561.0,https://pypi.org/project/mlxtend,2021-09-03 00:02:55.000000,190.0,1393200.0,1396821.0,https://anaconda.org/conda-forge/mlxtend,2021-09-03 13:27:33.719000,188292.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +70,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-11-08 14:42:04.000000,2021-09-26 10:28:21.000000,555,24.0,227.0,3483.0,1072.0,Geocoding library for Python.,123.0,32,True,2021-07-11 12:18:10.000000,2.2.0,58.0,geopy,conda-forge/geopy,,,,36388.0,29144.0,https://pypi.org/project/geopy,2021-07-11 12:15:26.000000,7244.0,2942101.0,2951239.0,https://anaconda.org/conda-forge/geopy,2021-07-12 18:34:05.605000,621449.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +71,opencv-python,opencv/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-11-17 08:22:26.000000,2021-11-17 08:22:26.000000,468,37.0,451.0,2354.0,809.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",35.0,32,True,2021-11-15 11:00:25.551000,3.1.0,57.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-11-15 11:00:25.551000,12560.0,5344606.0,5344606.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +72,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-11-16 19:37:11.000000,2021-11-12 23:16:20.000000,702,303.0,636.0,1508.0,2265.0,A library for training and deploying machine learning models on Amazon SageMaker.,233.0,32,True,2021-11-12 23:16:29.000000,2.69.0,392.0,sagemaker,,,,"['mxnet', 'tensorflow']",958.0,930.0,https://pypi.org/project/sagemaker,2021-11-12 23:16:29.000000,28.0,1796585.0,1796585.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +73,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-11-17 18:34:57.000000,2021-11-16 20:14:48.000000,571,878.0,1630.0,1267.0,,A distributed task scheduler for Dask.,253.0,32,True,2021-11-05 22:04:14.000000,2021.11.0,162.0,distributed,conda-forge/distributed,,,,22700.0,20922.0,https://pypi.org/project/distributed,2021-11-08 17:52:26.000000,1778.0,8848353.0,8935357.0,https://anaconda.org/conda-forge/distributed,2021-11-09 03:19:17.814000,5742313.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +74,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-11-14 01:29:07.000000,2021-11-14 01:25:25.000000,166,10.0,444.0,678.0,1272.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,44.0,32,True,2021-09-18 01:14:55.000000,3.2.1,38.0,pyproj,conda-forge/pyproj,,,,14346.0,11884.0,https://pypi.org/project/pyproj,2021-09-18 01:14:55.000000,2462.0,3580621.0,3618396.0,https://anaconda.org/conda-forge/pyproj,2021-11-10 13:19:54.552000,2682092.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +75,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000000,2021-11-17 17:00:32.000000,2021-11-17 00:36:05.000000,18860,292.0,10719.0,53206.0,6195.0,Deep Learning for humans.,1001.0,31,True,2021-11-03 16:24:54.000000,2.7.0,58.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],0.0,,https://pypi.org/project/keras,2021-11-03 16:16:34.000000,0.0,7134189.0,7164886.0,https://anaconda.org/conda-forge/keras,2021-11-17 14:25:37.387000,1933965.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +76,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2021-07-25 14:17:48.000000,2020-02-15 08:33:35.000000,6399,624.0,207.0,27327.0,523.0,Chinese Words Segmentation Utilities.,48.0,31,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,14203.0,11687.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,499428.0,501210.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597000,98012.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +77,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-11-17 18:08:31.000000,2021-11-17 18:01:51.000000,1390,924.0,1930.0,15012.0,,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",337.0,31,True,2021-11-16 20:13:06.000000,jaxlib-v0.1.74,104.0,jax,conda-forge/jaxlib,,,,2905.0,2859.0,https://pypi.org/project/jax,2021-11-10 21:36:20.000000,46.0,5331452.0,5339496.0,https://anaconda.org/conda-forge/jaxlib,2021-11-12 03:12:35.881000,225235.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +78,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-10-14 18:11:07.000000,2021-06-01 10:43:00.000000,3910,300.0,1246.0,11716.0,1848.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,4655.0,3975.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,57188.0,57188.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +79,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-11-02 23:56:01.000000,2021-09-09 20:54:41.000000,856,103.0,102.0,8550.0,384.0,Fuzzy String Matching in Python.,70.0,31,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,13599.0,10393.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,5020026.0,5025274.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,335910.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +80,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-11-15 20:34:05.364000,2021-11-13 00:48:18.000000,2144,110.0,359.0,8419.0,549.0,A little word cloud generator in Python.,64.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,1104.0,,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,705514.0,709425.0,https://anaconda.org/conda-forge/wordcloud,2021-11-15 20:34:05.364000,246418.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +81,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-11-16 00:12:02.000000,2021-10-28 11:22:37.000000,3187,466.0,1053.0,8308.0,4348.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",173.0,31,False,2021-11-07 10:21:30.000000,2.4.0,41.0,glfw,conda-forge/glfw,,,,215.0,1.0,https://pypi.org/project/glfw,2021-11-07 10:21:30.000000,214.0,64618.0,97381.0,https://anaconda.org/conda-forge/glfw,2021-10-29 00:59:54.298000,40726.0,,,,,2.0,2522332.0,,,,,,,,,,,,,,,,,,,,, +82,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-11-17 18:33:35.000000,2021-11-17 18:33:34.000000,730,393.0,1571.0,7760.0,14196.0,The easiest way to automate your data.,267.0,31,True,2021-11-10 21:06:37.000000,0.15.9,108.0,prefect,conda-forge/prefect,,,,498.0,496.0,https://pypi.org/project/prefect,2021-11-10 21:06:37.000000,2.0,191658.0,198534.0,https://anaconda.org/conda-forge/prefect,2021-11-11 15:48:04.581000,220052.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +83,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-11-14 17:37:04.000000,2021-11-12 13:49:35.000000,1230,572.0,582.0,6449.0,1016.0,Multilingual Sentence & Image Embeddings with BERT.,67.0,31,True,2021-10-01 09:10:30.000000,2.1.0,40.0,sentence-transformers,,,,['pytorch'],1876.0,1876.0,https://pypi.org/project/sentence-transformers,2021-10-01 08:44:06.000000,0.0,477603.0,477603.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +84,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-11-17 17:52:06.000000,2021-11-17 17:52:04.000000,937,302.0,1352.0,6203.0,19279.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",912.0,31,True,2021-11-04 04:25:01.000000,1.0.3,100.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-11-04 02:36:37.000000,162.0,2854994.0,2876825.0,https://anaconda.org/conda-forge/catboost,2021-11-09 18:53:14.338000,859841.0,,,,,2.0,67970.0,,,,,,,,,,,,,,,,,,,,, +85,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-06-10 09:05:27.000000,2021-06-10 08:30:31.000000,1374,18.0,2026.0,5635.0,30595.0,A flexible framework of neural networks for deep learning.,320.0,31,True,2021-06-10 09:05:28.000000,7.8.0,110.0,chainer,,,,,3169.0,2427.0,https://pypi.org/project/chainer,2021-06-10 08:29:05.000000,742.0,29097.0,29097.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +86,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-11-05 06:32:08.219000,2021-07-02 15:44:09.000000,725,45.0,439.0,5474.0,697.0,Unsupervised text tokenizer for Neural Network-based text generation.,57.0,31,True,2021-06-18 09:34:31.000000,0.1.96,31.0,sentencepiece,conda-forge/sentencepiece,,,,11230.0,10990.0,https://pypi.org/project/sentencepiece,2021-06-18 09:34:31.000000,240.0,2768892.0,2776720.0,https://anaconda.org/conda-forge/sentencepiece,2021-11-05 06:32:08.219000,117878.0,,,,,1.0,17993.0,,,,,,,,,,,,,,,,,,,,, +87,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-11-09 11:41:55.000000,2021-11-01 13:46:08.000000,980,122.0,110.0,5004.0,1398.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,31.0,31,True,2021-10-27 18:18:19.000000,0.9.5,73.0,pyod,,,,,971.0,965.0,https://pypi.org/project/pyod,2021-10-27 18:16:43.000000,6.0,520699.0,520699.0,,,,,,,,1.0,,3.0,,,,,,,,,,,,,,,,,,,, +88,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-11-17 18:44:00.000000,2021-11-17 15:38:35.000000,477,831.0,2636.0,3999.0,9082.0,"An orchestration platform for the development, production, and observation of data assets.",173.0,31,True,2021-11-16 00:50:12.000000,0.13.6,395.0,dagster,conda-forge/dagster,,,,263.0,259.0,https://pypi.org/project/dagster,2021-11-15 23:22:54.000000,4.0,174873.0,191600.0,https://anaconda.org/conda-forge/dagster,2021-11-16 15:39:42.343000,401467.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +89,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/dbt-labs/dbt-core,https://github.com/dbt-labs/dbt-core,Apache-2.0,2016-03-10 02:38:00.000000,2021-11-17 18:54:31.000000,2021-11-17 17:01:28.000000,697,295.0,2023.0,3762.0,2481.0,dbt enables data analysts and engineers to transform their data using the same practices that software engineers use..,186.0,31,True,2021-10-04 18:44:46.000000,0.21.0,171.0,dbt,conda-forge/dbt,,,,232.0,214.0,https://pypi.org/project/dbt,2021-11-15 19:40:55.000000,18.0,703369.0,706467.0,https://anaconda.org/conda-forge/dbt,2021-11-02 14:19:39.692000,185904.0,,,,,2.0,8.0,,,,,,,,,dbt,dbt-labs/dbt-core,,,,,,,,,,, +90,TensorFlow Datasets,tensorflow/datasets,,tensorflow-utils,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-11-17 15:58:33.000000,2021-11-17 14:57:26.000000,1154,516.0,590.0,3058.0,4352.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",225.0,31,True,2021-07-28 12:29:08.000000,4.4.0,23.0,tensorflow-datasets,,,,['tensorflow'],102.0,,https://pypi.org/project/tensorflow-datasets,2021-07-28 12:24:01.000000,102.0,1764930.0,1764930.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +91,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-11-15 09:35:17.000000,2021-11-15 09:35:14.000000,1590,13.0,608.0,2990.0,1003.0,A library for transfer learning by reusing parts of TensorFlow models.,81.0,31,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],9411.0,9097.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,3166387.0,3167818.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,58692.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +92,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-11-16 23:17:03.000000,2021-11-16 23:17:03.000000,440,143.0,655.0,2501.0,,Manipulation and analysis of geometric objects.,121.0,31,True,2021-10-25 16:52:16.000000,1.8.0,105.0,shapely,conda-forge/shapely,,,,29247.0,23789.0,https://pypi.org/project/shapely,2021-10-25 16:26:07.000000,5458.0,5785252.0,5825681.0,https://anaconda.org/conda-forge/shapely,2021-11-08 12:42:39.626000,2951344.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +93,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-11-08 06:11:15.000000,2021-10-12 13:32:38.000000,417,232.0,384.0,2233.0,1570.0,Sequential model-based optimization with a `scipy.optimize` interface.,75.0,31,True,2021-10-12 15:33:19.000000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,2293.0,2133.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:21:32.000000,160.0,570206.0,580059.0,https://anaconda.org/conda-forge/scikit-optimize,2021-10-24 07:56:21.816000,512392.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +94,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-11-16 18:28:45.809000,2021-11-16 05:22:31.000000,169,58.0,252.0,1676.0,691.0,"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.",59.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,40927.0,35445.0,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1822878.0,1874483.0,https://anaconda.org/conda-forge/numexpr,2021-11-16 18:28:45.809000,3251116.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +95,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-11-17 15:56:34.000000,2021-11-16 17:59:45.000000,455,145.0,1326.0,1610.0,3448.0,Rasterio reads and writes geospatial raster datasets.,115.0,31,True,2021-10-21 15:00:11.000000,1.3a2,133.0,rasterio,conda-forge/rasterio,,,,4802.0,3952.0,https://pypi.org/project/rasterio,2021-10-15 02:04:49.000000,850.0,714030.0,733492.0,https://anaconda.org/conda-forge/rasterio,2021-11-12 10:08:14.376000,1322813.0,,,,,2.0,742.0,,,,,,,,,,rasterio/rasterio,,,,,,,,,,, +96,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-10-05 01:46:26.000000,2021-10-05 01:46:21.000000,187,18.0,347.0,1127.0,1737.0,The ctypes-based simple ImageMagick binding for Python.,96.0,31,True,2021-08-17 02:43:04.000000,0.6.7,49.0,wand,,,,,8563.0,7393.0,https://pypi.org/project/wand,2021-08-17 02:13:00.000000,1170.0,416387.0,416533.0,,,,,,,,2.0,5270.0,,,,,,,,,,,,,,,,,,,,, +97,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-11-17 11:40:04.000000,2021-11-17 11:39:15.000000,161,7.0,113.0,1085.0,892.0,Simple Python interface for Graphviz.,17.0,31,True,2021-11-15 18:30:42.000000,0.18.2,51.0,graphviz,,,,,29929.0,25547.0,https://pypi.org/project/graphviz,2021-11-15 18:30:42.000000,4382.0,8411896.0,8411896.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +98,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-11-08 12:46:40.327000,2020-07-18 00:20:40.000000,4392,470.0,598.0,23124.0,379.0,Library for fast text representation and classification.,58.0,30,False,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,2478.0,2288.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,389485.0,389983.0,https://anaconda.org/conda-forge/fasttext,2021-11-08 12:46:40.327000,24420.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +99,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-11-01 20:36:25.000000,2020-10-14 16:36:49.000000,4203,346.0,651.0,14610.0,6226.0,"Zipline, a Pythonic Algorithmic Trading Library.",152.0,30,False,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,951.0,793.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,3989.0,3989.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +100,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-11-16 08:06:40.000000,2021-11-14 21:17:27.000000,2274,57.0,365.0,14512.0,1161.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..",60.0,30,True,2021-10-04 00:02:48.000000,0.1-rsb-weights,27.0,,,,,['pytorch'],1396.0,1396.0,,,,,23900.0,,,,,,,,2.0,717003.0,,,,,,,,,,,,,,,,,,,,, +101,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-10-26 03:14:14.000000,2021-10-15 02:56:26.000000,1670,120.0,323.0,13069.0,474.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",90.0,30,True,2021-09-11 09:38:37.000000,1.4.1,25.0,easyocr,,,,,662.0,662.0,https://pypi.org/project/easyocr,2021-09-11 09:38:37.000000,0.0,126588.0,171583.0,,,,,,,,1.0,764931.0,,,,,,,,,,,,,,,,,,,,, +102,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-11-17 17:15:40.000000,2021-11-17 13:12:39.000000,1614,80.0,1122.0,12131.0,6700.0,Cloud-native neural search framework for kind of data.,132.0,30,True,2021-11-13 22:42:10.000000,2.4.5,1443.0,jina,,jinaai/jina,,,176.0,176.0,https://pypi.org/project/jina,2021-11-17 13:14:27.000000,,19253.0,64972.0,,,,https://hub.docker.com/r/jinaai/jina,2021-11-17 13:44:47.719069,6.0,960116.0,2.0,,,,,,,,,,,,,,,,,,,,,, +103,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-11-17 17:51:32.000000,2021-11-17 17:00:20.000000,1931,266.0,1644.0,11857.0,1097.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",138.0,30,True,2021-10-06 18:03:55.000000,0.23.0,67.0,horovod,,,,,502.0,462.0,https://pypi.org/project/horovod,2021-10-06 18:03:55.000000,40.0,53565.0,53565.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,,, +104,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-10-19 11:55:10.000000,2021-07-29 23:17:25.000000,1473,20.0,523.0,9290.0,531.0,Lime: Explaining the predictions of any machine learning classifier.,61.0,30,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1793.0,1665.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,1358036.0,1359490.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,85826.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +105,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-10-18 14:07:24.000000,2021-10-18 14:07:24.000000,949,37.0,300.0,9172.0,832.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,74.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,2176.0,1816.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,743965.0,743965.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +106,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-11-17 17:56:04.000000,2021-11-17 10:48:34.000000,853,560.0,2811.0,8866.0,7059.0,Data Version Control | Git for Data & Models | ML Experiments Management.,250.0,30,True,2021-11-08 14:12:26.000000,2.8.3,340.0,dvc,conda-forge/dvc,,,,46.0,,https://pypi.org/project/dvc,2021-11-08 14:12:26.000000,46.0,361337.0,397000.0,https://anaconda.org/conda-forge/dvc,2021-11-09 01:14:36.263000,921297.0,,,,,1.0,44162.0,-3.0,,,,,,,,dvc,,dvc,dvc,,,,,,,,, +107,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-11-17 16:05:25.000000,2021-11-17 16:05:24.000000,1796,297.0,977.0,8379.0,2008.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",172.0,30,True,2021-11-08 04:09:08.000000,0.7.2,438.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-05-27 13:25:52.000000,30.0,87978.0,87978.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +108,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-10-06 17:47:33.000000,2021-09-12 12:57:41.000000,825,66.0,361.0,7160.0,474.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",67.0,30,True,2021-07-09 12:36:58.000000,2.4,15.0,tensorboardX,conda-forge/tensorboardx,,,,16811.0,15477.0,https://pypi.org/project/tensorboardX,2021-06-30 12:49:17.000000,1334.0,750297.0,763663.0,https://anaconda.org/conda-forge/tensorboardx,2021-08-10 02:00:22.589000,614562.0,,,,,1.0,341.0,,,,,,,,,,,,,,,,,,,,, +109,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-11-08 23:25:49.000000,2021-06-08 14:06:40.000000,760,204.0,252.0,5706.0,742.0,Manipulate audio with a simple and easy high level interface.,90.0,30,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,10828.0,9474.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,1002791.0,1003343.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,19329.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +110,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-11-14 01:12:13.000000,2021-11-14 01:12:13.000000,1113,65.0,733.0,4966.0,886.0,Gluon CV Toolkit.,114.0,30,True,2021-07-25 02:48:59.000000,0.10.4,1247.0,gluoncv,,,,['mxnet'],642.0,612.0,https://pypi.org/project/gluoncv,2021-10-10 09:00:58.000000,30.0,899904.0,899904.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +111,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-11-17 13:53:48.000000,2021-11-16 09:11:56.000000,993,198.0,987.0,4301.0,1983.0,"An open-source, low-code machine learning library in Python.",64.0,30,True,2021-09-23 10:43:33.000000,2.3.4,73.0,pycaret,,,,,1499.0,1499.0,https://pypi.org/project/pycaret,2021-09-23 10:43:33.000000,0.0,294762.0,294791.0,,,,,,,,1.0,476.0,,,,,,,,,,,,,,,,,,,,, +112,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-11-03 14:38:40.000000,2021-11-03 14:38:37.000000,548,11.0,270.0,3882.0,432.0,Python-tesseract is an optical character recognition (OCR) tool for python.,38.0,30,True,2021-06-28 23:00:22.000000,0.3.8,25.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2021-06-28 23:00:22.000000,1428.0,1072226.0,1089194.0,https://anaconda.org/conda-forge/pytesseract,2021-06-05 17:42:22.118000,475113.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +113,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-10-14 07:02:59.000000,2021-10-11 05:04:02.000000,151,30.0,53.0,3854.0,375.0,"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).",12.0,30,True,2021-08-31 22:49:08.000000,0.3.2,5.0,einops,conda-forge/einops,,,,1450.0,1440.0,https://pypi.org/project/einops,2021-08-31 21:29:29.000000,10.0,5107076.0,5107412.0,https://anaconda.org/conda-forge/einops,2021-08-31 23:13:47.214000,8737.0,,,,,2.0,,5.0,,,,,,,,,,,,,,,,,,,, +114,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-11-16 16:48:38.000000,2021-11-08 17:48:25.000000,1954,199.0,1010.0,2757.0,1162.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,57.0,30,True,2021-10-11 15:20:56.000000,1.35.0,83.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-11-08 15:39:29.000000,60.0,2169659.0,2169670.0,,,,,,,,1.0,426.0,,,,,,,,,,,,,,,,,,,,, +115,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-11-17 01:58:08.000000,2021-11-17 00:57:17.000000,896,309.0,661.0,2635.0,3097.0,Fast data visualization and GUI tools for scientific / engineering applications.,213.0,30,True,2021-10-11 03:04:34.000000,pyqtgraph-0.12.3,16.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-10-11 03:35:04.000000,890.0,89385.0,92932.0,https://anaconda.org/conda-forge/pyqtgraph,2021-10-11 16:15:08.513000,205773.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +116,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-11-08 11:23:32.000000,2020-11-16 22:20:52.000000,590,203.0,1092.0,2568.0,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,30,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,989.0,877.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,109392.0,116034.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,411839.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +117,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-11-05 18:17:41.000000,2021-11-05 18:17:40.000000,308,166.0,196.0,2408.0,859.0,Hyperparameter tuning for humans.,39.0,30,True,2021-11-05 17:28:50.000000,1.1.0,11.0,keras-tuner,,,,['tensorflow'],963.0,959.0,https://pypi.org/project/keras-tuner,2021-11-05 17:28:50.000000,4.0,935456.0,935456.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +118,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-11-16 17:54:00.000000,2021-11-15 20:40:37.000000,739,917.0,2177.0,2289.0,,N-D labeled arrays and datasets in Python.,342.0,30,True,2021-11-05 17:03:48.000000,0.20.1,62.0,xarray,conda-forge/xarray,,,,9309.0,8177.0,https://pypi.org/project/xarray,2021-11-05 17:03:48.000000,1132.0,1224089.0,1285920.0,https://anaconda.org/conda-forge/xarray,2021-11-08 01:21:44.036000,4204540.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +119,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-09-07 19:15:32.000000,2021-09-07 19:15:32.000000,283,13.0,92.0,2168.0,209.0,A Python Perceptual Image Hashing Module.,20.0,30,True,2021-07-15 12:35:01.000000,4.2.1,18.0,ImageHash,conda-forge/imagehash,,,,4250.0,3718.0,https://pypi.org/project/ImageHash,2021-07-15 12:35:01.000000,532.0,1168283.0,1170961.0,https://anaconda.org/conda-forge/imagehash,2021-07-15 15:00:27.543000,160707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +120,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-11-16 22:47:58.000000,2021-11-16 22:47:58.000000,336,78.0,158.0,1781.0,740.0,A library of sklearn compatible categorical variable encoders.,48.0,30,True,2021-10-13 15:40:27.000000,2.3.0-rerelease,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],2684.0,2661.0,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,863209.0,865251.0,https://anaconda.org/conda-forge/category_encoders,2021-10-13 18:33:34.503000,130738.0,,,,,2.0,,4.0,,,,,,,,,,,,,,,,,,,, +121,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2021-08-26 23:24:43.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1398.0,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4933.0,4089.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,2263637.0,2265289.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,94179.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,, +122,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-10-19 00:38:22.642000,2021-09-23 21:22:47.000000,175,80.0,569.0,863.0,1269.0,Fiona reads and writes geographic data files.,65.0,30,True,2021-05-31 23:04:33.000000,1.8.20,98.0,fiona,conda-forge/fiona,,,,8295.0,7107.0,https://pypi.org/project/fiona,2021-05-31 23:04:33.000000,1188.0,2035036.0,2069813.0,https://anaconda.org/conda-forge/fiona,2021-10-19 00:38:22.642000,2364845.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +123,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-09-26 16:29:44.000000,2021-09-26 16:29:39.000000,94,73.0,68.0,806.0,539.0,Describing statistical models in Python using symbolic formulas.,16.0,30,True,2021-09-27 02:10:26.000000,0.5.2,9.0,patsy,conda-forge/patsy,,,,48253.0,43329.0,https://pypi.org/project/patsy,2021-09-26 05:26:37.000000,4924.0,4407255.0,4468881.0,https://anaconda.org/conda-forge/patsy,2021-09-26 14:43:31.594000,3882473.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +124,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-11-04 11:55:30.352000,2021-01-24 18:39:03.000000,73,35.0,178.0,672.0,1241.0,Fast NumPy array functions written in C.,21.0,30,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,30854.0,27962.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,451119.0,477795.0,https://anaconda.org/conda-forge/bottleneck,2021-11-04 11:55:30.352000,1760633.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +125,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-11-09 17:41:40.000000,2021-11-06 16:48:15.000000,475,359.0,891.0,596.0,14293.0,Workflows and interfaces for neuroimaging packages.,226.0,30,True,2021-10-20 17:40:54.000000,1.7.0,56.0,nipype,conda-forge/nipype,,,,965.0,773.0,https://pypi.org/project/nipype,2021-10-20 15:33:29.000000,192.0,38941.0,45977.0,https://anaconda.org/conda-forge/nipype,2021-10-20 17:02:23.801000,450361.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +126,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-11-17 09:59:16.947000,2021-11-16 18:29:31.000000,148,25.0,44.0,530.0,918.0,Snowball compiler and stemming algorithms.,28.0,30,True,2021-11-16 18:38:34.000000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,13186.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000000,13182.0,5455102.0,5509259.0,https://anaconda.org/conda-forge/snowballstemmer,2021-11-17 09:59:16.947000,3411908.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +127,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-11-15 17:47:05.000000,2021-06-14 10:10:40.000000,11744,658.0,551.0,42179.0,219.0,The world's simplest facial recognition api for Python and the command line.,47.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,53482.0,53490.0,,,,,,,,2.0,449.0,,,,,,,,,,,,,,,,,,,,, +128,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-11-17 16:45:32.000000,2021-11-17 16:45:15.000000,9774,690.0,,17552.0,28896.0,Apache Flink Python API.,1412.0,29,True,2021-09-29 02:49:08.000000,1.14.0,23.0,apache-flink,,,,,0.0,,https://pypi.org/project/apache-flink,2021-09-29 02:49:08.000000,0.0,7964.0,7964.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +129,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-11-17 18:58:07.000000,2021-11-16 22:40:16.000000,1475,553.0,1549.0,16560.0,,Streamlit The fastest way to build data apps in Python.,131.0,29,True,2021-11-11 19:39:24.000000,1.2.0,144.0,streamlit,,,,,204.0,170.0,https://pypi.org/project/streamlit,2021-11-11 19:38:44.000000,34.0,624662.0,624662.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +130,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-11-17 16:43:21.000000,2021-11-17 16:10:46.000000,2214,858.0,1419.0,13074.0,5158.0,Graph Neural Network Library for PyTorch.,215.0,29,True,2021-10-26 12:42:36.000000,2.0.2,31.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2021-10-26 12:42:36.000000,24.0,44708.0,44708.0,,,,,,,,1.0,,,,,,,,,,,pyg-team/pytorch_geometric,,,,,,,,,,, +131,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-11-17 11:24:05.000000,2021-11-17 05:33:56.000000,1472,224.0,1210.0,10555.0,2387.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",152.0,29,True,2021-11-04 00:55:22.000000,2.5,44.0,nni,,,,,168.0,152.0,https://pypi.org/project/nni,2021-11-04 00:40:20.000000,16.0,10587.0,10587.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +132,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-11-17 06:06:59.000000,2021-11-17 06:06:59.000000,3483,953.0,800.0,10549.0,1883.0,State-of-the-art 2D and 3D Face Analysis Project.,31.0,29,True,2021-08-31 06:20:24.000000,0.4.2,21.0,insightface,,,,['mxnet'],112.0,110.0,https://pypi.org/project/insightface,2021-09-21 02:50:54.000000,2.0,20300.0,20300.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +133,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-11-12 16:08:08.000000,2021-11-09 14:30:54.000000,1276,78.0,82.0,9641.0,276.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,29,True,2021-09-23 18:11:25.000000,4.0.0,40.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-09-23 18:11:25.000000,62.0,1420059.0,1420059.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +134,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,362.0,9569.0,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,29,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4589.0,3627.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,16833.0,16833.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +135,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-11-17 18:02:32.000000,2021-11-17 15:47:11.000000,1322,237.0,3740.0,8777.0,11462.0,An open-source vector database for embedding similarity search and AI applications.,176.0,29,True,2021-06-16 06:50:46.000000,1.1.1,93.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-11-01 10:54:41.000000,6.0,18323.0,41786.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-11-05 08:08:29.619180,15.0,605597.0,1.0,4279.0,3.0,,,,,,,,,,,,,,,,,,,, +136,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-11-17 17:11:58.000000,2021-11-16 22:45:37.000000,1665,95.0,1081.0,8434.0,3892.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,165.0,29,True,2021-10-12 21:51:23.000000,1.5.1,21.0,parlai,,,,['pytorch'],49.0,49.0,https://pypi.org/project/parlai,2021-10-12 21:51:23.000000,0.0,2453.0,2453.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +137,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2021-07-29 10:41:37.000000,2020-04-16 08:02:22.000000,1755,92.0,91.0,8273.0,154.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1399.0,1295.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,62560.0,62560.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +138,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-11-02 00:27:01.000000,2021-10-20 06:34:58.000000,1327,57.0,726.0,8228.0,1271.0,AutoML library for deep learning.,130.0,29,True,2021-11-02 00:16:03.000000,1.0.16.post1,53.0,autokeras,,,,['tensorflow'],264.0,250.0,https://pypi.org/project/autokeras,2021-11-02 00:27:01.000000,14.0,22348.0,22368.0,,,,,,,,1.0,994.0,,,,,,,,,,,,,,,,,,,,, +139,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-11-17 18:15:38.000000,2021-11-17 17:09:27.000000,1758,180.0,957.0,7778.0,9504.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,306.0,29,True,2021-07-14 18:02:58.000000,8.11.0,18.0,vowpalwabbit,,,,,16.0,,https://pypi.org/project/vowpalwabbit,2021-07-14 18:02:58.000000,16.0,44339.0,44339.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +140,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-11-12 23:17:31.000000,2021-11-11 19:03:57.000000,875,174.0,734.0,7193.0,2248.0,Deep universal probabilistic programming with Python and PyTorch.,116.0,29,True,2021-07-06 23:56:51.000000,1.7.0,27.0,pyro-ppl,,,,['pytorch'],606.0,570.0,https://pypi.org/project/pyro-ppl,2021-07-07 00:00:51.000000,36.0,72600.0,72600.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +141,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-11-17 16:27:05.000000,2021-11-17 14:02:17.000000,465,651.0,1507.0,6574.0,1582.0,Modin: Speed up your Pandas workflows by changing a single line of code.,83.0,29,True,2021-11-09 23:42:01.000000,0.11.3,45.0,modin,,,,['pandas'],520.0,502.0,https://pypi.org/project/modin,2021-11-09 23:39:10.000000,18.0,147388.0,152282.0,,,,,,,,2.0,195768.0,,,,,,,,,,,,,,,,,,,,, +142,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-10-19 21:06:51.000000,2021-10-19 21:06:51.000000,1808,13.0,1330.0,6110.0,2936.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,29,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],975.0,899.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,18510.0,18512.0,,,,,,,,2.0,128.0,,,,,,,,,,,,,,,,,,,,, +143,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-11-13 22:56:02.000000,2021-11-13 22:53:47.000000,1416,374.0,317.0,5982.0,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,48.0,29,True,2021-11-13 22:56:02.000000,0.1.66,31.0,yfinance,ranaroussi/yfinance,,,,7950.0,7924.0,https://pypi.org/project/yfinance,2021-11-13 22:56:02.000000,26.0,361422.0,365453.0,https://anaconda.org/ranaroussi/yfinance,2021-07-10 20:29:09.532000,16124.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +144,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-11-07 03:48:13.000000,2019-07-02 17:29:47.000000,1995,234.0,279.0,5941.0,360.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",41.0,29,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,1088.0,,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,342902.0,344962.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,129841.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +145,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-10-26 06:31:36.000000,2020-10-09 12:59:42.000000,482,249.0,236.0,5854.0,4137.0,Python Stream Processing.,93.0,29,False,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,904.0,876.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,342553.0,342553.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +146,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-11-17 13:13:59.000000,2021-11-16 01:31:33.000000,375,314.0,864.0,5568.0,1794.0,An open source multi-tool for exploring and publishing data.,60.0,29,True,2021-11-14 05:52:14.000000,0.59.2,107.0,datasette,,,,,617.0,547.0,https://pypi.org/project/datasette,2021-11-14 05:52:14.000000,70.0,131599.0,131599.0,,,,,,,,1.0,34.0,,,,,,,,,datasette,,,,,,,,,,,, +147,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-09-18 01:52:50.000000,2020-12-19 01:11:23.000000,1169,44.0,172.0,5534.0,199.0,A Python implementation of global optimization with gaussian processes.,27.0,29,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,1041.0,949.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,158929.0,158930.0,,,,,,,,1.0,70.0,,,,,,,,,,,,,,,,,,,,, +148,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,782,163.0,219.0,5525.0,1376.0,Efficiently computes derivatives of numpy code.,51.0,29,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2967.0,2623.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,1504114.0,1507174.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,192808.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +149,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-11-16 19:53:44.000000,2021-11-16 19:48:17.000000,1997,186.0,709.0,5497.0,,Python Data. Leaflet.js Maps.,124.0,29,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,13753.0,12785.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,657565.0,664239.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,453832.0,,,,,2.0,,-3.0,,,,,,,,,,,,,,,,,,,, +150,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-11-17 16:32:51.000000,2021-11-17 03:18:47.000000,510,115.0,381.0,5260.0,1902.0,Open Source Differentiable Computer Vision Library.,139.0,29,True,2021-10-22 21:48:22.000000,0.6.1,25.0,kornia,,,,['pytorch'],765.0,765.0,https://pypi.org/project/kornia,2021-10-22 21:48:22.000000,0.0,178554.0,178557.0,,,,,,,,2.0,147.0,,,,,,,,,,,,,,,,,,,,, +151,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-11-17 16:07:09.000000,2021-11-17 11:53:46.000000,525,42.0,525.0,4666.0,1371.0,"A Python framework for creating reproducible, maintainable and modular data science code.",130.0,29,True,2021-09-14 15:12:54.000000,0.17.5,29.0,kedro,,,,,621.0,605.0,https://pypi.org/project/kedro,2021-09-14 15:12:54.000000,16.0,216020.0,216020.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +152,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-10-27 18:02:26.000000,2021-10-27 18:02:26.000000,410,13.0,259.0,4647.0,634.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,68.0,29,True,2021-09-23 18:07:35.000000,4.5.2,62.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-09-23 18:07:32.000000,1118.0,414204.0,416464.0,https://anaconda.org/conda-forge/tinydb,2021-09-23 23:38:10.536000,146914.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +153,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-11-17 01:29:00.000000,2021-11-16 22:35:38.000000,250,24.0,186.0,4052.0,2661.0,"Wrap UIs around any model, share with anyone.",33.0,29,True,2021-11-10 15:39:58.000000,2.4.5,153.0,gradio,,,,,409.0,407.0,https://pypi.org/project/gradio,2021-11-10 15:39:58.000000,2.0,82430.0,82430.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +154,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-11-17 08:47:59.000000,2021-11-16 17:22:16.000000,508,143.0,827.0,3755.0,1270.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,156.0,29,True,2021-10-13 09:11:37.000000,0.4.7,742.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],62.0,,https://pypi.org/project/pytorch-ignite,2021-11-17 00:12:28.000000,62.0,83744.0,85522.0,https://anaconda.org/pytorch/ignite,2021-10-19 15:47:07.847000,72908.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +155,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-11-17 18:42:06.000000,2021-11-16 12:08:47.000000,270,460.0,1027.0,3476.0,4289.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,96.0,29,True,2021-10-27 18:35:07.000000,0.12.6,213.0,wandb,,,,,78.0,,https://pypi.org/project/wandb,2021-10-27 18:31:06.000000,78.0,523473.0,523473.0,,,,,,,,2.0,,-3.0,,,,,,,,,,,,,,,,,,,, +156,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-10-26 06:53:37.000000,2021-10-21 22:12:35.000000,322,94.0,482.0,3026.0,1547.0,Koalas: pandas API on Apache Spark.,51.0,29,True,2021-10-19 22:26:46.000000,1.8.2,47.0,koalas,conda-forge/koalas,,,"['spark', 'pandas']",141.0,139.0,https://pypi.org/project/koalas,2021-10-19 22:26:05.000000,2.0,2910916.0,2914501.0,https://anaconda.org/conda-forge/koalas,2021-10-20 00:43:43.868000,106635.0,,,,,2.0,998.0,,,,,,,,,,,,,,,,,,,,, +157,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-07-04 16:12:30.000000,2021-07-04 16:09:34.000000,385,10.0,102.0,2992.0,180.0,Missing data visualization module for Python.,17.0,29,True,2021-07-04 16:12:30.000000,0.5.0,24.0,missingno,conda-forge/missingno,,,,5554.0,5402.0,https://pypi.org/project/missingno,2021-07-04 16:12:30.000000,152.0,752562.0,755170.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,135637.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +158,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-11-16 09:25:02.000000,2021-11-03 09:28:44.000000,328,125.0,351.0,2653.0,1297.0,Quickly and accurately render even the largest data.,44.0,29,True,2021-06-09 23:30:20.000000,0.13.0,24.0,datashader,conda-forge/datashader,,,,941.0,871.0,https://pypi.org/project/datashader,2021-06-09 22:59:52.000000,70.0,46388.0,51436.0,https://anaconda.org/conda-forge/datashader,2021-06-10 09:04:19.929000,242317.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +159,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-11-17 03:49:29.000000,2021-11-16 14:10:51.000000,388,240.0,775.0,2565.0,3507.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,89.0,29,True,2021-09-02 12:05:08.000000,1.5.1,30.0,gpytorch,,,,['pytorch'],435.0,427.0,https://pypi.org/project/gpytorch,2021-09-02 12:05:08.000000,8.0,186370.0,186370.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +160,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-11-17 15:59:27.000000,2021-02-25 05:05:09.000000,554,81.0,123.0,2386.0,452.0,Productivity Tools for Plotly + Pandas.,38.0,29,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],4889.0,4655.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,283059.0,283059.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +161,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-11-16 12:27:40.000000,2021-11-16 12:27:25.000000,665,52.0,311.0,2373.0,386.0,"Hidden Markov Models in Python, with scikit-learn like API.",37.0,29,True,2021-07-18 14:01:41.000000,0.2.6,8.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1322.0,1116.0,https://pypi.org/project/hmmlearn,2021-07-18 14:01:41.000000,206.0,357697.0,360581.0,https://anaconda.org/conda-forge/hmmlearn,2021-11-13 15:23:53.699000,103858.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +162,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-11-17 15:52:18.000000,2021-11-17 15:51:39.000000,572,96.0,410.0,2108.0,1961.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",114.0,29,True,2021-11-15 17:59:06.000000,0.11.0,29.0,tf-agents,,,,['tensorflow'],633.0,621.0,https://pypi.org/project/tf-agents,2021-11-15 17:59:06.000000,12.0,69960.0,69960.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +163,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-11-17 15:53:35.000000,2021-11-17 15:53:35.000000,328,795.0,1908.0,2045.0,10259.0,"With Holoviews, your data visualizes itself.",115.0,29,True,2021-09-30 16:18:23.000000,1.14.6,73.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-09-17 08:22:12.000000,170.0,270990.0,283914.0,https://anaconda.org/conda-forge/holoviews,2021-09-17 16:26:42.464000,605856.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,3745.0,,,,,,,,,,,,,, +164,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-09-16 06:58:51.000000,2021-05-04 18:33:52.000000,456,38.0,153.0,2006.0,542.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",36.0,29,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,1307.0,1095.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,722612.0,723918.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,69245.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +165,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-11-04 15:50:32.000000,2021-09-16 11:27:10.000000,449,218.0,615.0,1747.0,2148.0,Survival analysis in Python.,98.0,29,True,2021-09-16 11:28:00.000000,0.26.3,159.0,lifelines,conda-forge/lifelines,,,,838.0,712.0,https://pypi.org/project/lifelines,2021-09-16 11:28:00.000000,126.0,294996.0,297673.0,https://anaconda.org/conda-forge/lifelines,2021-09-16 13:42:40.141000,174044.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +166,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-11-16 09:50:00.000000,2021-11-16 09:50:00.000000,303,171.0,276.0,1192.0,958.0,A Jupyter - Leaflet.js bridge.,71.0,29,True,2021-07-21 12:23:32.000000,0.14.0,71.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],1353.0,1253.0,https://pypi.org/project/ipyleaflet,2021-06-17 16:00:18.000000,98.0,55613.0,106525.0,https://anaconda.org/conda-forge/ipyleaflet,2021-06-17 16:32:56.948000,771147.0,,,,,2.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-06-17 15:58:50.351000,2.0,39228.0,,,,,,,,,,,,,, +167,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-11-16 15:42:40.000000,2021-11-15 04:52:33.000000,254,135.0,141.0,1156.0,679.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",64.0,29,True,2021-09-30 10:12:08.000000,0.7.0,24.0,tensorflow-model-optimization,,,,['tensorflow'],1293.0,1287.0,https://pypi.org/project/tensorflow-model-optimization,2021-09-30 10:05:24.000000,6.0,149470.0,149470.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +168,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-09-26 08:24:55.000000,2021-09-26 08:04:19.000000,218,178.0,455.0,1076.0,3964.0,A Python package to manage extremely large amounts of data.,100.0,29,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,1102433.0,1156883.0,https://anaconda.org/conda-forge/pytables,2021-09-03 19:43:23.698000,3430282.0,,,,,2.0,163.0,,,,,,,,,,,,,,,,,,,,, +169,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-11-15 19:04:09.000000,2021-11-15 19:04:05.000000,175,20.0,151.0,894.0,719.0,Input pipeline framework.,27.0,29,True,2021-11-05 18:43:04.000000,1.4.0,43.0,tensorflow-transform,,,,['tensorflow'],680.0,596.0,https://pypi.org/project/tensorflow-transform,2021-11-05 18:43:04.000000,84.0,10019226.0,10019226.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +170,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-11-17 04:51:06.000000,2021-11-17 04:51:02.000000,152,64.0,111.0,845.0,557.0,Making text a first-class citizen in TensorFlow.,63.0,29,True,2021-11-12 06:43:48.000000,2.7.0,39.0,tensorflow-text,,,,['tensorflow'],1152.0,1148.0,https://pypi.org/project/tensorflow-text,2021-11-12 06:21:32.000000,4.0,1322560.0,1322560.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +171,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-11-05 15:59:23.000000,2021-09-30 22:21:56.000000,223,128.0,308.0,447.0,5065.0,Python package to access a cacophony of neuro-imaging file formats.,93.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,6950.0,5686.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,146302.0,152311.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,396612.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +172,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-11-17 12:08:58.000000,2021-11-17 12:08:58.000000,29,6.0,22.0,181.0,532.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,10.0,29,False,2021-10-27 09:16:31.000000,0.7.5,36.0,blis,conda-forge/cython-blis,,,,14511.0,14121.0,https://pypi.org/project/blis,2021-10-22 08:50:51.000000,390.0,3769483.0,3804098.0,https://anaconda.org/conda-forge/cython-blis,2021-11-04 20:09:22.632000,1107680.0,,,,,1.0,,3.0,,,,,,,,,,,,,,,,,,,, +173,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-07-01 15:13:10.000000,2021-01-06 15:17:46.000000,1404,230.0,601.0,8339.0,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,28,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1282.0,1202.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,25618.0,27805.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,135617.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +174,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000000,2021-11-17 17:35:37.000000,2021-11-17 17:35:37.000000,1424,232.0,2227.0,6155.0,,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,346.0,28,True,2021-08-24 01:17:21.000000,3.11.4,35.0,pymc3,conda-forge/pymc3,,,,847.0,561.0,https://pypi.org/project/pymc3,2021-08-24 01:17:21.000000,286.0,287731.0,293349.0,https://anaconda.org/conda-forge/pymc3,2021-10-12 16:32:39.553000,342121.0,,,,,2.0,880.0,,,,,,,,,,pymc-devs/pymc,,,,,,,,,,, +175,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-11-17 17:15:28.000000,2021-11-17 17:15:27.000000,767,150.0,547.0,5856.0,,An open source python library for automated feature engineering.,57.0,28,True,2021-11-15 22:31:16.000000,1.2.0,94.0,featuretools,conda-forge/featuretools,,,,944.0,874.0,https://pypi.org/project/featuretools,2021-11-15 22:31:16.000000,70.0,1172353.0,1174378.0,https://anaconda.org/conda-forge/featuretools,2021-11-16 19:59:02.573000,70895.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +176,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-11-17 17:47:42.000000,2021-11-09 19:34:35.000000,1086,120.0,702.0,5851.0,2582.0,Automated Machine Learning with scikit-learn.,77.0,28,True,2021-11-10 09:01:03.000000,0.14.2,36.0,auto-sklearn,,,,['sklearn'],251.0,221.0,https://pypi.org/project/auto-sklearn,2021-11-10 09:01:03.000000,30.0,31553.0,31553.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +177,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-11-16 12:51:20.000000,2021-09-28 17:29:02.000000,983,143.0,468.0,5485.0,2607.0,An open source library for deep learning end-to-end dialog systems and chatbots.,67.0,28,True,2021-09-28 17:35:36.000000,0.17.1,46.0,deeppavlov,,,,['tensorflow'],238.0,230.0,https://pypi.org/project/deeppavlov,2021-09-28 17:35:36.000000,8.0,9406.0,9406.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +178,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-11-15 09:06:25.000000,2021-11-04 15:08:42.000000,2034,120.0,1189.0,5322.0,2585.0,Open Source Neural Machine Translation in PyTorch.,172.0,28,True,2021-09-14 08:49:23.000000,2.2.0,32.0,OpenNMT-py,,,,['pytorch'],120.0,116.0,https://pypi.org/project/OpenNMT-py,2021-09-14 08:49:23.000000,4.0,4678.0,4678.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +179,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-11-17 01:06:08.000000,2021-09-23 22:14:27.000000,1304,25.0,422.0,5301.0,3201.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",128.0,28,True,2021-07-24 08:53:21.000000,4.0.0,8.0,cleverhans,,,,['tensorflow'],282.0,266.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000000,16.0,1907.0,1907.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +180,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-11-11 09:44:35.000000,2021-10-07 14:56:48.000000,395,142.0,380.0,5007.0,1493.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,46.0,28,True,2021-09-08 07:18:04.000000,python-v0.11.0,62.0,tokenizers,conda-forge/tokenizers,,,,38.0,38.0,https://pypi.org/project/tokenizers,2021-05-24 21:47:49.000000,0.0,4111607.0,4117914.0,https://anaconda.org/conda-forge/tokenizers,2021-09-22 14:56:29.695000,100916.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +181,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-11-13 19:02:56.000000,2021-11-13 19:02:56.000000,920,225.0,242.0,4482.0,2177.0,Distributed Evolutionary Algorithms in Python.,75.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2709.0,2227.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,213324.0,215677.0,https://anaconda.org/conda-forge/deap,2021-11-07 17:27:38.136000,152980.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +182,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-11-17 19:05:19.000000,2021-11-17 13:10:47.000000,1365,249.0,1306.0,4414.0,13196.0,End-to-End Speech Processing Toolkit.,206.0,28,True,2021-11-10 08:24:37.000000,0.10.4,40.0,espnet,,,,,25.0,25.0,https://pypi.org/project/espnet,2021-11-10 08:24:37.000000,0.0,4208.0,4209.0,,,,,,,,1.0,73.0,,,,,,,,,,,,,,,,,,,,, +183,imutils,jrosebr1/imutils,,image,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000000,2021-11-11 07:07:30.000000,2021-01-15 10:46:45.000000,935,83.0,76.0,3886.0,138.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,21922.0,20726.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,428338.0,430809.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,71672.0,,,,,2.0,,,,,,,,,,,PyImageSearch/imutils,,,,,,,,,,, +184,huey,coleifer/huey,,data-pipelines,https://github.com/coleifer/huey,https://github.com/coleifer/huey,MIT,2011-11-03 16:39:43.000000,2021-11-12 13:37:58.000000,2021-11-12 13:37:37.000000,317,1.0,475.0,3722.0,927.0,a little task queue for python.,66.0,28,True,2021-09-16 12:43:26.000000,2.4.1,61.0,huey,conda-forge/huey,,,,1108.0,822.0,https://pypi.org/project/huey,2021-09-16 12:42:56.000000,286.0,49181.0,49700.0,https://anaconda.org/conda-forge/huey,2019-10-16 15:34:27.487000,22322.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +185,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-11-05 12:51:21.000000,2021-11-05 12:51:21.000000,335,90.0,427.0,3653.0,1314.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",95.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1262.0,1108.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,33811.0,33811.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +186,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-11-17 17:48:07.000000,2021-11-17 17:48:05.000000,949,526.0,624.0,3535.0,,Probabilistic reasoning and statistical analysis in TensorFlow.,430.0,28,True,2021-11-17 17:40:22.000000,0.15.0,40.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],252.0,,https://pypi.org/project/tensorflow-probability,2021-11-17 17:40:22.000000,252.0,1392623.0,1394038.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-10-22 19:50:42.522000,46709.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +187,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-09-07 23:47:31.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3262.0,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,232.0,194.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,20784.0,20851.0,,,,,,,,3.0,4091.0,,,,,,,,,,,,,,,,,,,,, +188,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-10-14 13:15:50.000000,2021-10-14 13:15:50.000000,433,63.0,601.0,3220.0,2842.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",61.0,28,True,2021-04-17 00:35:34.000000,2.0.8,159.0,dedupe,,,,,282.0,204.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,226106.0,226106.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +189,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-10-26 15:24:53.000000,2021-10-21 10:18:06.000000,445,219.0,351.0,3180.0,3428.0,Plotting library for IPython/Jupyter notebooks.,55.0,28,True,2021-10-01 09:15:22.000000,0.12.31,98.0,bqplot,conda-forge/bqplot,,,['jupyter'],150.0,28.0,https://pypi.org/project/bqplot,2021-10-01 09:15:22.000000,112.0,64997.0,94727.0,https://anaconda.org/conda-forge/bqplot,2021-10-01 09:49:41.042000,893654.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-10-01 09:13:14.243000,10.0,16190.0,,,,,,,,,,,,,, +190,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-25 06:35:21.702000,2021-05-17 19:04:10.000000,104,10.0,111.0,3097.0,590.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,28,True,2021-08-23 21:02:05.000000,6.0.3,45.0,ftfy,conda-forge/ftfy,,,,5053.0,4293.0,https://pypi.org/project/ftfy,2021-05-24 05:17:15.000000,760.0,873953.0,876334.0,https://anaconda.org/conda-forge/ftfy,2021-05-25 06:35:21.702000,130988.0,,,,,2.0,,,,,,,,,,,rspeer/python-ftfy,,,,,,,,,,, +191,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,381,263.0,500.0,3004.0,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9561.0,7939.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,12642.0,16461.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,194777.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +192,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-11-17 12:39:03.000000,2021-11-15 21:28:03.000000,662,339.0,334.0,2894.0,847.0,Data loaders and abstractions for text and NLP.,118.0,28,True,2021-10-21 17:20:17.000000,0.11.0-rc3,17.0,torchtext,,,,['pytorch'],682.0,,https://pypi.org/project/torchtext,2021-10-21 15:11:48.000000,682.0,131047.0,131047.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +193,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-10-23 23:47:06.000000,2021-09-19 04:51:57.000000,367,58.0,331.0,2621.0,1511.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,45.0,28,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,555.0,503.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,92585.0,94896.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,43927.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +194,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-11-07 00:04:17.000000,2021-10-27 13:15:11.000000,203,9.0,,2553.0,316.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",11.0,28,True,2021-10-27 13:15:53.000000,4.2.2,22.0,textdistance,conda-forge/textdistance,,,,1320.0,1292.0,https://pypi.org/project/textdistance,2021-10-27 13:15:53.000000,28.0,264768.0,266272.0,https://anaconda.org/conda-forge/textdistance,2021-10-27 17:04:18.548000,62910.0,,,,,2.0,328.0,,,,,,,,,,,,,,,,,,,,, +195,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-11-17 18:13:28.000000,2021-11-17 11:53:48.000000,267,166.0,263.0,2292.0,,Flax is a neural network library for JAX that is designed for flexibility.,120.0,28,True,2021-10-27 21:00:51.000000,0.3.6,15.0,flax,,,,['jax'],506.0,500.0,https://pypi.org/project/flax,2021-10-27 21:00:51.000000,6.0,5145937.0,5145938.0,,,,,,,,3.0,28.0,,,,,,,,,,,,,,,,,,,,, +196,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-11-02 16:46:40.000000,2021-10-25 15:40:47.000000,369,252.0,150.0,2015.0,914.0,A high performance implementation of HDBSCAN clustering.,74.0,28,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],1204.0,1080.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,337731.0,352900.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,970834.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +197,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-11-17 08:32:07.000000,2021-11-17 05:57:45.000000,161,113.0,619.0,1644.0,3469.0,Ahead of Time compiler for numeric kernels.,64.0,28,True,2021-09-14 05:37:45.000000,0.10.0,51.0,pythran,conda-forge/pythran,,,,106.0,80.0,https://pypi.org/project/pythran,2021-09-14 05:37:45.000000,26.0,176734.0,181615.0,https://anaconda.org/conda-forge/pythran,2021-11-05 02:26:49.727000,205003.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,, +198,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-11-09 18:12:48.000000,2021-11-09 18:12:47.000000,203,71.0,158.0,1546.0,178.0,A Python wrapper for the tesseract-ocr API.,26.0,28,True,2021-06-19 21:10:18.000000,2.5.2,16.0,tesserocr,conda-forge/tesserocr,,,,669.0,569.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000000,100.0,68212.0,70639.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,60697.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +199,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-06-24 14:14:46.000000,2021-03-24 13:03:31.000000,320,86.0,77.0,1534.0,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,28,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2989.0,2791.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,522456.0,523217.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,31216.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +200,mleap,combust/mleap,,data-pipelines,https://github.com/combust/mleap,https://github.com/combust/mleap,Apache-2.0,2016-08-23 03:51:03.000000,2021-11-08 18:05:46.000000,2021-11-08 18:05:46.000000,285,85.0,348.0,1318.0,926.0,MLeap: Deploy ML Pipelines to Production.,70.0,28,True,2021-09-27 15:16:57.000000,0.18.1,8.0,mleap,conda-forge/mleap,,,,202.0,170.0,https://pypi.org/project/mleap,2021-09-27 15:16:57.000000,32.0,147917.0,149223.0,https://anaconda.org/conda-forge/mleap,2021-10-02 22:28:24.067000,40505.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +201,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-11-12 23:22:11.000000,2021-11-12 23:22:10.000000,234,25.0,47.0,1134.0,1065.0,Model analysis tools for TensorFlow.,35.0,28,True,2021-11-02 19:08:29.000000,0.35.0,45.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-11-02 19:08:29.000000,20.0,8597798.0,8597798.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +202,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-10-06 19:36:50.000000,2021-07-15 17:22:49.000000,133,54.0,630.0,1066.0,1466.0,A Python data analysis library that is optimized for humans instead of machines.,49.0,28,True,2018-03-11 14:37:30.000000,1.6.1,25.0,agate,conda-forge/agate,,,,914.0,672.0,https://pypi.org/project/agate,2021-07-15 16:32:29.000000,242.0,910121.0,911400.0,https://anaconda.org/conda-forge/agate,2021-07-16 07:46:42.405000,72908.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +203,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-11-05 13:13:07.000000,2021-11-05 12:21:30.000000,185,21.0,240.0,1045.0,1042.0,"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..",19.0,28,True,2021-11-05 12:39:58.000000,1.8.4,36.0,pmdarima,,,,,1502.0,1490.0,https://pypi.org/project/pmdarima,2021-11-05 12:39:58.000000,12.0,1056993.0,1056993.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +204,Keras-Preprocessing,keras-team/keras-preprocessing,,tensorflow-utils,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-07-02 00:20:02.000000,2021-02-04 19:43:30.000000,426,93.0,100.0,993.0,284.0,"Utilities for working with image data, text data, and sequence data.",50.0,28,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,7688694.0,7716717.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,1148982.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +205,cartopy,SciTools/cartopy,,data-viz,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000000,2021-11-16 22:00:10.000000,2021-11-14 06:04:28.000000,296,288.0,738.0,959.0,2546.0,Cartopy - a cartographic python library with matplotlib support.,104.0,28,False,2021-10-20 19:04:16.000000,0.20.1,24.0,cartopy,conda-forge/cartopy,,,,2342.0,1996.0,https://pypi.org/project/cartopy,2021-10-08 23:44:10.000000,346.0,120005.0,147125.0,https://anaconda.org/conda-forge/cartopy,2021-11-14 19:12:24.346000,1844170.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +206,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-11-11 11:08:46.000000,2021-11-11 10:02:01.000000,87,19.0,58.0,667.0,455.0,Python bindings and utilities for GeoJSON.,45.0,28,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,9843.0,8009.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,660575.0,667295.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,456984.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +207,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-11-17 17:39:45.000000,2021-11-17 17:39:44.000000,110,37.0,109.0,591.0,693.0,Library for exploring and validating machine learning data.,23.0,28,True,2021-10-27 23:49:33.000000,1.4.0,34.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",364.0,346.0,https://pypi.org/project/tensorflow-data-validation,2021-10-27 23:49:33.000000,18.0,8866397.0,8866404.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,, +208,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-11-14 16:41:15.000000,2021-10-19 08:02:21.000000,2391,216.0,1434.0,15140.0,,A library for efficient similarity search and clustering of dense vectors.,89.0,27,True,2021-06-09 09:16:17.000000,1.1.2,57.0,pymilvus,conda-forge/faiss,,,,504.0,498.0,https://pypi.org/project/pymilvus,2021-11-01 10:54:41.000000,6.0,18323.0,29852.0,https://anaconda.org/conda-forge/faiss,2021-11-09 18:04:40.103000,207524.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +209,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-11-17 15:39:21.000000,2021-11-17 00:30:45.000000,3747,1087.0,2009.0,14507.0,,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,363.0,27,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],595.0,575.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,33861.0,33864.0,,,,,,,,2.0,151.0,-3.0,,,,,,,,,,,,,,,,,,,, +210,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-11-17 17:56:59.000000,2021-11-17 17:35:54.000000,3788,940.0,5351.0,13007.0,,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",514.0,27,True,2021-11-15 16:39:47.000000,3.0.0rc2,224.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-11-15 16:39:37.000000,64.0,206065.0,206065.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +211,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-10-26 01:03:48.000000,2020-01-31 13:06:18.000000,4144,472.0,430.0,12055.0,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,27,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,425.0,351.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,1386.0,1386.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +212,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-11-10 19:44:48.000000,2021-10-17 14:27:22.000000,1281,22.0,146.0,9071.0,,TensorFlow-based neural network library.,53.0,27,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],788.0,706.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,308771.0,309280.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,12237.0,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,,, +213,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-11-17 16:47:33.000000,2021-11-17 14:15:40.000000,1741,295.0,2753.0,7738.0,9339.0,A library for answering questions using data you cannot see.,425.0,27,True,2021-06-28 06:55:25.000000,0.5.0,58.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-11-17 14:16:06.000000,6.0,3500.0,3500.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +214,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-11-02 14:00:05.000000,2021-07-17 22:17:12.000000,2390,37.0,,7651.0,2385.0,Python Backtesting library for trading strategies.,52.0,27,False,,,155.0,backtrader,,,,,882.0,812.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,14984.0,14984.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +215,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-11-17 09:53:13.000000,2021-11-15 16:15:05.000000,2041,504.0,3047.0,6837.0,5438.0,Open-source simulator for autonomous driving research.,139.0,27,True,2021-11-17 08:28:27.000000,0.9.13,24.0,carla,,,,,103.0,99.0,https://pypi.org/project/carla,2021-11-17 08:28:27.000000,4.0,2440.0,2440.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +216,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-11-10 19:48:16.000000,2021-05-08 20:05:36.000000,1852,250.0,424.0,6652.0,292.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,15.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,1014.0,990.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,9651.0,25082.0,,,,,,,,2.0,663556.0,,,,,,,,,,,,,,,,,,,,, +217,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-11-17 16:14:41.000000,2021-11-17 16:14:41.000000,427,207.0,186.0,4963.0,385.0,Build and manage real-life data science projects with ease!.,41.0,27,True,2021-11-04 01:33:05.000000,2.4.3,34.0,metaflow,conda-forge/metaflow,,,,223.0,221.0,https://pypi.org/project/metaflow,2021-11-04 02:37:26.000000,2.0,29638.0,30841.0,https://anaconda.org/conda-forge/metaflow,2021-11-04 14:35:42.758000,27683.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +218,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-11-16 16:26:38.000000,2021-11-14 16:24:20.000000,773,47.0,881.0,4843.0,,Python library for audio and music analysis.,92.0,27,True,2021-05-26 10:15:06.000000,0.8.1,31.0,librosa,conda-forge/librosa,,,,1750.0,,https://pypi.org/project/librosa,2021-05-26 10:15:06.000000,1750.0,481585.0,488017.0,https://anaconda.org/conda-forge/librosa,2021-05-26 10:44:27.607000,411656.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +219,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2021-10-15 05:38:50.000000,2021-10-15 05:38:50.000000,830,122.0,70.0,4572.0,537.0,Image augmentation library in Python for machine learning.,22.0,27,True,2021-10-14 08:49:48.000000,0.2.9,21.0,Augmentor,,,,,420.0,378.0,https://pypi.org/project/Augmentor,2021-10-14 08:49:48.000000,42.0,17784.0,17784.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +220,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-11-15 19:59:06.419000,2021-03-15 15:49:05.000000,856,190.0,142.0,4412.0,145.0,Official Kaggle API.,36.0,27,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,564.0,,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,450773.0,453213.0,https://anaconda.org/conda-forge/kaggle,2021-11-15 19:59:06.419000,73203.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +221,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-11-17 09:44:36.000000,2021-11-17 09:37:10.000000,522,89.0,165.0,4262.0,1791.0,Fit interpretable models. Explain blackbox machine learning.,27.0,27,True,2021-09-23 20:41:03.000000,0.2.7,37.0,interpret,,,,['jupyter'],131.0,129.0,https://pypi.org/project/interpret,2021-09-23 19:52:27.000000,2.0,58062.0,58062.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +222,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-11-12 09:45:54.000000,2021-11-12 09:42:45.000000,1047,173.0,113.0,4221.0,723.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",25.0,27,True,2021-11-12 09:45:54.000000,0.3.8,17.0,pyAudioAnalysis,,,,,260.0,238.0,https://pypi.org/project/pyAudioAnalysis,2021-11-12 09:45:54.000000,22.0,15562.0,15562.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +223,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-11-10 22:41:28.000000,2021-11-09 23:04:57.000000,297,55.0,366.0,4219.0,972.0,A scikit-learn compatible neural network library that wraps PyTorch.,46.0,27,True,2021-10-31 15:54:20.000000,0.11.0,14.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",435.0,409.0,https://pypi.org/project/skorch,2021-10-31 15:48:51.000000,26.0,16729.0,29466.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,484032.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +224,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-09-29 21:14:06.000000,2020-07-15 13:46:58.000000,1257,134.0,265.0,4120.0,1184.0,Portfolio and risk analytics in Python.,55.0,27,False,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,383.0,329.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,5973.0,6141.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,7604.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +225,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-11-17 16:49:04.000000,2021-11-17 15:54:57.000000,408,64.0,401.0,3908.0,4835.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",65.0,27,True,2021-11-02 19:53:09.000000,1.0.1,53.0,perspective-python,,,,['jupyter'],223.0,215.0,https://pypi.org/project/perspective-python,2021-11-02 19:53:09.000000,8.0,1821.0,3491.0,,,,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-10-31 00:35:06.333000,,1670.0,,,,,,,,,,,,,, +226,Activeloop,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-11-17 19:14:42.000000,2021-11-17 06:44:57.000000,304,62.0,262.0,3663.0,2201.0,Dataset format for AI. Easily build and manage datasets for machine and deep learning. Stream data real-time &..,88.0,27,True,2021-11-10 09:06:34.000000,2.1.0,118.0,hub,,,,,184.0,132.0,https://pypi.org/project/hub,2021-11-10 09:05:44.000000,52.0,12707.0,12707.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +227,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-11-17 16:49:28.000000,2021-11-17 16:44:03.000000,1195,420.0,964.0,3268.0,7300.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",173.0,27,True,2021-03-18 03:10:52.000000,2.5.0,348.0,deepchem,,,,['tensorflow'],66.0,62.0,https://pypi.org/project/deepchem,2021-11-17 16:49:28.000000,4.0,6094.0,6094.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +228,BentoML,bentoml/BentoML,,model-serialisation,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000000,2021-11-17 18:25:57.000000,2021-11-05 06:43:28.000000,343,69.0,416.0,2987.0,1160.0,Model Serving Made Easy.,89.0,27,True,2021-07-13 10:52:52.000000,0.13.1,70.0,bentoml,,,,,141.0,133.0,https://pypi.org/project/bentoml,2021-07-13 07:00:28.000000,8.0,15825.0,15855.0,,,,,,,,1.0,932.0,,,,,,,,,,,,,,,,,,,,, +229,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-11-16 11:49:25.000000,2021-11-16 11:26:27.000000,146,72.0,377.0,2850.0,1705.0,A grammar of graphics for Python.,86.0,27,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,2876.0,2622.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,191898.0,194463.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,138550.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +230,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-11-17 17:16:19.000000,2021-11-17 17:15:48.000000,391,126.0,279.0,2807.0,1418.0,"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",40.0,27,True,2021-11-08 09:06:16.000000,1.1.4,51.0,clearml,,allegroai/trains,,,155.0,155.0,https://pypi.org/project/clearml,2021-11-08 09:05:56.000000,0.0,43864.0,44913.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30092.0,2.0,375.0,,,,,,,,,,,,,,,,,,,,, +231,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-11-17 00:53:26.000000,2021-11-12 19:30:36.000000,293,75.0,223.0,2771.0,870.0,Model interpretability and understanding for PyTorch.,77.0,27,True,2021-11-02 21:47:58.000000,0.4.1,7.0,captum,,,,['pytorch'],314.0,314.0,https://pypi.org/project/captum,2021-11-02 02:41:19.000000,0.0,35354.0,35354.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +232,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-11-15 22:08:27.000000,2021-11-15 19:06:32.000000,347,12.0,317.0,2771.0,1645.0,Accelerated deep learning R&D.,101.0,27,True,2021-10-30 07:39:44.000000,21.10,102.0,catalyst,,,,['pytorch'],469.0,431.0,https://pypi.org/project/catalyst,2021-10-30 08:10:01.000000,38.0,12271.0,12271.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +233,nlpaug,makcedward/nlpaug,,nlp,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000000,2021-11-14 16:24:18.000000,2021-10-19 03:50:58.000000,302,31.0,119.0,2656.0,665.0,Data augmentation for NLP.,21.0,27,True,2021-10-19 04:15:22.000000,1.1.8,34.0,nlpaug,,,,,206.0,204.0,https://pypi.org/project/nlpaug,2021-10-19 04:15:22.000000,2.0,36827.0,36827.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +234,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-11-07 22:16:42.000000,2021-08-13 10:24:05.000000,205,22.0,55.0,2637.0,170.0,A simple command-line utility for querying and monitoring GPU status.,12.0,27,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,1462.0,1404.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,342167.0,345007.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,90898.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +235,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-08-23 20:39:46.000000,2020-11-29 21:08:14.000000,612,110.0,89.0,2574.0,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,862.0,850.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,129265.0,129265.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +236,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-10-17 18:07:36.000000,2021-05-08 08:05:59.000000,393,25.0,127.0,2518.0,287.0,Pandas integration with sklearn.,37.0,27,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,,,"['sklearn', 'pandas']",3279.0,3057.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,222.0,423893.0,423893.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +237,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-11-17 17:37:34.000000,2021-11-15 19:56:54.000000,506,85.0,501.0,2472.0,12758.0,State of the Art Natural Language Processing.,101.0,27,True,2021-11-03 15:35:28.000000,3.3.2,95.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-11-03 14:23:56.000000,0.0,1272004.0,1272004.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +238,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-11-11 20:52:48.000000,2021-11-10 15:56:44.000000,389,318.0,505.0,2444.0,,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",117.0,27,True,2021-11-09 18:32:21.000000,5.1.0,35.0,coremltools,,,,,941.0,675.0,https://pypi.org/project/coremltools,2021-11-09 18:32:21.000000,266.0,84216.0,84291.0,,,,,,,,1.0,3750.0,3.0,,,,,,,,,,,,,,,,,,,, +239,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-10-12 07:24:36.000000,2021-08-24 19:11:38.000000,519,260.0,295.0,2342.0,840.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",82.0,27,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],653.0,631.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,211902.0,211902.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +240,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-11-15 10:09:23.000000,2021-11-11 16:56:57.000000,204,16.0,28.0,2189.0,430.0,torch-optimizer -- collection of optimizers for Pytorch.,25.0,27,True,2021-10-31 03:00:19.000000,0.3.0,21.0,torch_optimizer,,,,['pytorch'],384.0,384.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000000,0.0,59565.0,59565.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +241,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-11-16 17:08:24.000000,2021-11-15 10:01:57.000000,808,63.0,260.0,2104.0,,IPython Parallel: Interactive Parallel Computing in Python.,103.0,27,True,2021-09-30 12:56:24.000000,7.1.0,34.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2220.0,1730.0,https://pypi.org/project/ipyparallel,2021-11-12 13:31:42.000000,490.0,59819.0,67752.0,https://anaconda.org/conda-forge/ipyparallel,2021-11-12 14:45:30.388000,531519.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +242,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-11-15 22:04:45.000000,2021-11-15 22:04:42.000000,229,22.0,89.0,1781.0,372.0,A python library for decision tree visualization and model interpretation.,16.0,27,True,2021-11-10 22:55:11.000000,1.3.2,25.0,dtreeviz,,,,,262.0,258.0,https://pypi.org/project/dtreeviz,2021-11-10 22:51:55.000000,4.0,183994.0,183994.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +243,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-11-16 12:34:22.000000,2021-06-30 05:17:40.000000,325,116.0,117.0,1767.0,315.0,Header-only C++/python library for fast approximate nearest neighbors.,46.0,27,True,2021-06-30 22:24:23.000000,0.5.2,6.0,hnswlib,,,,,167.0,165.0,https://pypi.org/project/hnswlib,2021-06-30 22:24:23.000000,2.0,100905.0,100905.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +244,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-11-17 17:15:53.000000,2021-11-17 16:59:22.000000,975,340.0,3506.0,1730.0,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,272.0,27,True,2021-11-03 16:04:08.000000,0.24.0,57.0,mne,conda-forge/mne,,,,1444.0,1246.0,https://pypi.org/project/mne,2021-11-03 16:04:08.000000,198.0,36158.0,39212.0,https://anaconda.org/conda-forge/mne,2021-11-03 17:45:24.506000,174113.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +245,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-11-17 15:26:19.000000,2021-11-17 05:02:36.000000,519,249.0,464.0,1637.0,3964.0,TFX is an end-to-end platform for deploying production ML pipelines.,124.0,27,True,2021-11-17 03:34:21.000000,1.4.0,65.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-11-17 03:34:21.000000,4.0,766041.0,766041.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +246,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-11-16 18:49:24.000000,2021-11-16 18:49:21.000000,142,9.0,98.0,1552.0,,a python library for doing approximate and phonetic matching of strings.,25.0,27,True,2021-10-26 15:22:58.000000,0.8.9,31.0,jellyfish,conda-forge/jellyfish,,,,3586.0,2940.0,https://pypi.org/project/jellyfish,2021-10-26 15:22:58.000000,646.0,1480038.0,1482539.0,https://anaconda.org/conda-forge/jellyfish,2021-11-05 14:51:35.332000,155121.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +247,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-11-10 11:17:56.000000,2021-10-27 08:05:54.000000,411,119.0,617.0,1536.0,2248.0,Gaussian processes in TensorFlow.,72.0,27,True,2021-10-26 09:45:06.000000,2.3.0,32.0,gpflow,conda-forge/gpflow,,,['tensorflow'],342.0,308.0,https://pypi.org/project/gpflow,2021-10-26 09:45:06.000000,34.0,7596.0,7827.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,9735.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +248,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-11-17 16:49:18.000000,2021-11-17 15:42:55.000000,358,132.0,426.0,1473.0,1168.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",142.0,27,True,2021-10-21 15:55:34.000000,0.10.0,17.0,torchaudio,,,,['pytorch'],18.0,,https://pypi.org/project/torchaudio,2021-10-21 15:06:46.000000,18.0,308739.0,308739.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +249,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-10-27 18:10:41.000000,2021-10-27 18:10:41.000000,214,135.0,132.0,1279.0,664.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,43.0,27,True,2021-09-04 05:47:24.000000,0.11.3,75.0,petastorm,,,,,45.0,45.0,https://pypi.org/project/petastorm,2021-09-04 05:47:24.000000,0.0,135460.0,135467.0,,,,,,,,2.0,309.0,,,,,,,,,,,,,,,,,,,,, +250,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-11-17 14:06:55.000000,2021-11-17 14:05:26.000000,268,488.0,284.0,1160.0,,"This is the development home of the workflow management system Snakemake. For general information, see.",225.0,27,True,2021-10-21 16:44:44.000000,6.10.0,189.0,snakemake,bioconda/snakemake,,,,1254.0,966.0,https://pypi.org/project/snakemake,2021-10-21 16:45:02.000000,288.0,21650.0,26453.0,https://anaconda.org/bioconda/snakemake,2021-10-22 07:15:48.793000,350637.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +251,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-11-09 23:55:29.000000,2021-10-18 19:57:56.000000,192,88.0,14.0,1148.0,643.0,Mesh TensorFlow: Model Parallelism Made Easier.,44.0,27,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],658.0,602.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,364862.0,364862.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +252,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-11-16 22:29:27.000000,2021-11-15 18:56:19.000000,250,193.0,550.0,1113.0,,Exploratory analysis of Bayesian models with Python.,104.0,27,True,2021-10-03 11:17:21.000000,0.11.4,25.0,arviz,conda-forge/arviz,,,,1606.0,1570.0,https://pypi.org/project/arviz,2021-10-03 11:17:21.000000,36.0,300305.0,318735.0,https://anaconda.org/conda-forge/arviz,2021-10-03 15:30:41.137000,552860.0,,,,,1.0,111.0,,,,,,,,,,,,,,,,,,,,, +253,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-11-15 22:10:46.000000,2021-11-13 18:24:45.000000,193,185.0,420.0,996.0,2250.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,62.0,27,True,2021-09-11 20:03:16.000000,0.32.1,49.0,pyvista,conda-forge/pyvista,,,['jupyter'],542.0,516.0,https://pypi.org/project/pyvista,2021-09-11 20:03:16.000000,26.0,29373.0,33679.0,https://anaconda.org/conda-forge/pyvista,2021-09-12 01:56:26.368000,128992.0,,,,,2.0,374.0,,,,,,,,,,,,,,,,,,,,, +254,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-10-15 03:48:10.000000,2021-10-15 01:37:34.000000,163,73.0,351.0,947.0,1154.0,Python Extract Transform and Load Tables of Data.,51.0,27,True,2021-10-15 03:48:10.000000,1.7.5,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,668.0,554.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,38651.0,39298.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,40156.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +255,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-10-08 04:35:56.000000,2021-10-08 04:32:34.000000,354,19.0,122.0,923.0,470.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",19.0,27,True,2021-10-08 04:41:31.000000,0.11.1,14.0,kmodes,,,,,882.0,856.0,https://pypi.org/project/kmodes,2021-10-08 04:35:56.000000,26.0,275235.0,275235.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +256,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-11-17 14:58:32.000000,2021-11-17 14:57:45.000000,206,27.0,313.0,890.0,1827.0,Python interface for igraph.,57.0,27,False,2021-10-29 01:08:18.000000,0.9.8,25.0,python-igraph,conda-forge/igraph,,,,766.0,342.0,https://pypi.org/project/python-igraph,2021-10-29 00:55:02.000000,424.0,162162.0,171324.0,https://anaconda.org/conda-forge/igraph,2021-11-12 06:30:55.873000,259841.0,,,,,1.0,276275.0,,,,,,,,,,,,,,,,,,,,, +257,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-11-17 04:15:04.000000,2021-11-16 09:01:13.000000,132,197.0,269.0,807.0,1494.0,"An implementation of chunked, compressed, N-dimensional arrays for Python.",51.0,27,True,2021-11-04 13:09:57.000000,2.11.0a2,48.0,zarr,conda-forge/zarr,,,,1005.0,933.0,https://pypi.org/project/zarr,2021-11-04 13:11:26.000000,72.0,66153.0,83489.0,https://anaconda.org/conda-forge/zarr,2021-09-30 15:10:35.877000,1144226.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +258,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-10-22 18:18:37.000000,2021-10-22 18:18:33.000000,67,39.0,47.0,515.0,529.0,A Python nearest neighbor descent for approximate nearest neighbors.,17.0,27,True,2021-10-15 14:06:19.000000,0.5.5,24.0,pynndescent,conda-forge/pynndescent,,,,961.0,955.0,https://pypi.org/project/pynndescent,2021-10-15 13:34:09.000000,6.0,1678928.0,1692365.0,https://anaconda.org/conda-forge/pynndescent,2021-10-15 15:32:23.572000,389678.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +259,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-11-17 17:44:46.000000,2021-11-16 18:56:34.000000,331,123.0,634.0,477.0,11716.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",127.0,27,True,2021-03-14 14:05:15.000000,1.4.0,23.0,dipy,conda-forge/dipy,,,,551.0,457.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,94.0,8771.0,12850.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,269252.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +260,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-11-17 16:14:54.000000,2021-10-06 12:37:07.000000,60,135.0,260.0,473.0,422.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",32.0,27,True,2021-07-26 16:25:50.000000,0.7.3,36.0,hvplot,conda-forge/hvplot,,,,925.0,895.0,https://pypi.org/project/hvplot,2021-07-23 11:33:46.000000,30.0,115354.0,118823.0,https://anaconda.org/conda-forge/hvplot,2021-07-23 14:04:28.244000,135310.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +261,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-11-07 14:43:40.465000,2020-10-20 11:22:05.000000,88,31.0,44.0,378.0,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,False,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,7206.0,6620.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,465243.0,470879.0,https://anaconda.org/conda-forge/audioread,2021-11-07 14:43:40.465000,360735.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +262,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-11-16 11:06:20.000000,2021-11-15 22:58:38.000000,5019,143.0,2612.0,18857.0,,"Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.",192.0,26,True,2021-11-15 22:08:26.000000,0.6,10.0,,conda-forge/detectron2,,,['pytorch'],411.0,411.0,,,,,1879.0,https://anaconda.org/conda-forge/detectron2,2021-07-30 18:54:13.472000,33824.0,,,,,2.0,,-3.0,,,,,,,,,,,,,,,,,,,, +263,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-11-17 13:29:36.000000,2021-11-16 15:22:59.000000,3516,921.0,2468.0,17474.0,,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",72.0,26,True,2021-05-26 11:43:06.000000,2.1.1,19.0,paddleocr,,,,['paddle'],399.0,399.0,https://pypi.org/project/paddleocr,2021-11-17 08:44:28.000000,0.0,39009.0,39009.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +264,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-11-17 12:24:25.000000,2021-11-15 17:59:17.000000,6115,319.0,4400.0,17208.0,1813.0,OpenMMLab Detection Toolbox and Benchmark.,275.0,26,True,2021-11-15 18:02:44.000000,2.18.1,20.0,,,,,['pytorch'],161.0,161.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +265,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-10-18 02:01:53.000000,2021-06-30 21:44:13.000000,3518,321.0,569.0,17176.0,,Magenta: Music and Art Generation with Machine Intelligence.,149.0,26,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],386.0,316.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,6952.0,6952.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +266,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2021-08-27 04:46:43.000000,2020-03-31 15:55:14.000000,4402,836.0,2527.0,17122.0,16116.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",270.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,1754.0,1952.0,,,,,,,,3.0,13892.0,,,,,,,,,,,,,,,,,,,,, +267,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-11-09 17:34:47.000000,2021-10-03 23:20:15.000000,3869,158.0,1566.0,13687.0,,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,137.0,26,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,1100757.0,1100768.0,,,,,,,,1.0,635.0,,,,,,,,,,,,,,,,,,,,, +268,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-11-15 22:11:28.000000,2021-09-21 17:45:37.000000,1111,484.0,1279.0,10487.0,,Turi Create simplifies the development of custom machine learning models.,82.0,26,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,309.0,275.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,25227.0,25331.0,,,,,,,,3.0,4908.0,,,,,,,,,,,,,,,,,,,,, +269,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-11-17 13:02:41.000000,2021-11-17 13:01:33.000000,1433,348.0,614.0,7176.0,,"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..",48.0,26,True,2021-09-27 12:05:48.000000,2.1.1,46.0,paddlehub,,,,['paddle'],550.0,550.0,https://pypi.org/project/paddlehub,2021-09-27 12:05:48.000000,0.0,9980.0,9997.0,,,,,,,,2.0,560.0,,,,,,,,,,,,,,,,,,,,, +270,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-10-29 08:29:08.000000,2021-10-29 08:29:08.000000,1487,20.0,437.0,6778.0,3350.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,132.0,26,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2716.0,2736.0,,,,,,,,2.0,1287.0,,,,,,,,,,,,,,,,,,,,, +271,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-11-02 08:10:31.000000,2021-04-15 15:16:36.000000,1304,128.0,134.0,6623.0,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,26,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,224364.0,272343.0,,,,,,,,1.0,959594.0,,,,,,,,,,,,,,,,,,,,, +272,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-11-10 19:48:01.000000,2021-10-31 20:49:30.000000,919,42.0,431.0,6016.0,398.0,Automatic extraction of relevant features from time series:.,79.0,26,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,250850.0,252161.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,62938.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +273,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-11-17 18:31:14.000000,2021-11-17 17:10:19.000000,649,372.0,357.0,5870.0,776.0,"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.",81.0,26,True,2021-11-11 17:14:38.000000,0.5.6,37.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],115.0,115.0,https://pypi.org/project/deepspeed,2021-11-11 17:09:24.000000,0.0,43490.0,44019.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,3.0,11649.0,2.0,,,,,,,,,,,,,,,,,,,,,, +274,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-11-17 08:16:12.000000,2021-10-05 02:15:34.000000,738,65.0,534.0,5818.0,,Official Stanford NLP Python Library for Many Human Languages.,41.0,26,True,2021-10-06 06:28:19.000000,1.3.0,14.0,stanza,stanfordnlp/stanza,,,,742.0,738.0,https://pypi.org/project/stanza,2021-10-05 06:37:56.000000,4.0,74893.0,75110.0,https://anaconda.org/stanfordnlp/stanza,2021-10-05 07:17:34.873000,4351.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +275,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-11-16 00:38:14.000000,2021-11-15 08:32:58.000000,496,93.0,678.0,5151.0,3074.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",57.0,26,True,2021-11-04 21:51:31.000000,12.7.2,186.0,ocrmypdf,,,,,12.0,,https://pypi.org/project/ocrmypdf,2021-11-13 20:54:23.000000,12.0,21278.0,21278.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,,ocrmypdf,,,,,,,,,, +276,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-11-17 18:28:37.000000,2021-11-14 18:20:30.000000,674,251.0,492.0,4658.0,,A unified framework for machine learning with time series.,126.0,26,True,2021-10-28 19:14:26.000000,0.8.1,18.0,sktime,,,,['sklearn'],287.0,287.0,https://pypi.org/project/sktime,2021-10-28 19:14:26.000000,0.0,120696.0,120698.0,,,,,,,,1.0,64.0,,,,,,,,,,,,,,,,,,,,, +277,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-10-29 14:19:26.000000,2021-02-07 21:16:06.000000,610,90.0,344.0,3848.0,428.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",44.0,26,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,640.0,584.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,229416.0,231793.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,109365.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +278,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-11-17 09:04:21.000000,2021-11-16 19:26:37.000000,498,130.0,434.0,3801.0,699.0,"AutoGluon: AutoML for Text, Image, and Tabular Data.",62.0,26,True,2021-08-31 20:48:52.000000,0.3.1,604.0,autogluon,,,,['mxnet'],78.0,78.0,https://pypi.org/project/autogluon,2021-11-17 09:04:21.000000,0.0,20062.0,20062.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +279,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-11-17 15:24:16.000000,2021-11-17 10:47:34.000000,945,288.0,756.0,3798.0,2678.0,Building Large-Scale AI Applications for Distributed Big Data.,127.0,26,True,2021-07-09 12:20:26.000000,0.13.0,29.0,bigdl,,,,,29.0,29.0,https://pypi.org/project/bigdl,2021-11-17 12:24:39.000000,0.0,8278.0,8278.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,0.0,, +280,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-10-26 23:23:33.000000,2021-06-14 05:10:42.000000,617,19.0,231.0,3529.0,497.0,A python wrapper for Alpha Vantage API for financial data.,39.0,26,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,27039.0,27039.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +281,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-11-10 20:00:27.000000,2021-11-10 20:00:19.000000,512,7.0,612.0,3051.0,2090.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,81.0,26,True,2021-08-30 20:20:58.000000,0.6.5,14.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1137.0,1137.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +282,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-11-16 01:22:35.020000,2021-11-01 20:43:03.000000,502,59.0,605.0,2778.0,914.0,"Fast, flexible and easy to use probabilistic modelling in Python.",64.0,26,True,2021-03-29 16:51:20.000000,0.14.4,66.0,pomegranate,conda-forge/pomegranate,,,,625.0,569.0,https://pypi.org/project/pomegranate,2021-11-01 20:09:53.000000,56.0,42323.0,45014.0,https://anaconda.org/conda-forge/pomegranate,2021-11-16 01:22:35.020000,75360.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +283,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-11-17 03:29:25.000000,2021-11-17 03:29:16.000000,218,35.0,395.0,2762.0,535.0,Visualizer for pandas data structures.,18.0,26,True,2021-11-16 03:33:21.000000,1.61.0,140.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",261.0,261.0,https://pypi.org/project/dtale,2021-11-16 03:26:32.000000,0.0,55881.0,60461.0,https://anaconda.org/conda-forge/dtale,2021-11-16 03:47:34.754000,96200.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +284,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-11-16 16:58:41.000000,2021-11-10 15:11:13.000000,576,349.0,970.0,2758.0,,High-performance interactive 2D/3D data visualization library.,165.0,26,True,2021-10-27 17:17:38.000000,0.9.3,26.0,vispy,conda-forge/vispy,,,['jupyter'],748.0,626.0,https://pypi.org/project/vispy,2021-10-27 17:30:59.000000,122.0,35772.0,39695.0,https://anaconda.org/conda-forge/vispy,2021-11-05 07:23:20.223000,191602.0,,,,,3.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,13.0,,,,,,,,,,,,,, +285,deepface,serengil/deepface,,image,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000000,2021-11-13 08:26:48.000000,2021-11-13 08:26:48.000000,609,6.0,340.0,2709.0,638.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",18.0,26,True,2021-08-20 15:03:44.000000,0.0.68,67.0,deepface,,,,,300.0,300.0,https://pypi.org/project/deepface,2021-08-20 15:03:44.000000,0.0,27106.0,27106.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +286,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2021-10-21 17:24:42.000000,2021-10-21 17:14:12.000000,462,15.0,78.0,2681.0,,Module for automatic summarization of text documents and HTML pages.,21.0,26,True,2021-10-21 17:24:42.000000,0.9.0,14.0,sumy,,,,,1174.0,982.0,https://pypi.org/project/sumy,2021-10-21 17:24:42.000000,192.0,26346.0,26346.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +287,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-11-17 18:20:55.000000,2021-11-17 15:41:04.000000,538,144.0,844.0,2678.0,902.0,Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement..,78.0,26,True,2021-09-16 08:31:17.000000,0.10.0,34.0,haystack,,,,,258.0,92.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1995.0,1995.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +288,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-11-09 17:08:03.654000,2021-01-19 09:51:49.000000,331,127.0,175.0,2578.0,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,302.0,266.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,3204.0,11609.0,https://anaconda.org/conda-forge/aubio,2021-11-09 17:08:03.654000,470687.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +289,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-10-16 17:05:07.000000,2021-10-02 05:11:29.000000,509,89.0,281.0,2541.0,,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,30.0,26,True,2021-08-29 04:23:02.000000,0.4.8,38.0,implicit,conda-forge/implicit,,,,543.0,499.0,https://pypi.org/project/implicit,2021-08-29 04:23:02.000000,44.0,114443.0,121276.0,https://anaconda.org/conda-forge/implicit,2021-08-29 07:42:53.163000,314353.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +290,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-06-10 22:02:56.000000,2020-01-22 07:39:36.000000,313,153.0,110.0,2469.0,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,1488713.0,1490660.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,105158.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +291,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-08-18 06:57:48.000000,2021-08-18 06:57:48.000000,382,164.0,242.0,2405.0,1015.0,PYthon svg GrAph plotting Library.,71.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,102708.0,103026.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,9231.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +292,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-11-05 18:02:28.000000,2021-10-29 06:15:49.000000,319,249.0,729.0,2196.0,2515.0,StellarGraph - Machine Learning on Graphs.,36.0,26,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],97.0,93.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,8975.0,8975.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +293,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-11-10 19:47:32.000000,2021-06-05 09:38:18.000000,371,61.0,269.0,2068.0,1648.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",32.0,26,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,271.0,253.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,2679.0,2679.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +294,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-11-05 18:58:53.000000,2021-11-05 18:58:53.000000,105,4.0,119.0,1926.0,520.0,Python library for creating data pipelines with chain functional programming.,25.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,358.0,358.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,76235.0,76235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +295,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-11-02 08:41:03.000000,2021-11-02 08:41:03.000000,606,212.0,546.0,1920.0,6.0,Python Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.,100.0,26,True,2021-09-30 16:00:43.000000,0.1.16,15.0,pgmpy,,,,,290.0,278.0,https://pypi.org/project/pgmpy,2021-09-30 15:45:27.000000,12.0,71389.0,71395.0,,,,,,,,2.0,113.0,,,,,,,,,,,,,,,,,,,,, +296,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,274,26.0,45.0,1882.0,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,1095.0,845.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,328853.0,328853.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +297,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-10-07 15:33:20.000000,2021-09-06 06:59:14.000000,241,68.0,174.0,1878.0,,A machine learning toolkit dedicated to time-series data.,33.0,26,True,2021-08-16 07:09:52.000000,0.5.2,94.0,tslearn,conda-forge/tslearn,,,['sklearn'],360.0,338.0,https://pypi.org/project/tslearn,2021-08-16 07:29:50.000000,22.0,205580.0,211060.0,https://anaconda.org/conda-forge/tslearn,2021-08-16 11:07:26.939000,241162.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +298,pandas-ta,twopirllc/pandas-ta,,probabilistics,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000000,2021-11-16 21:57:10.000000,2021-11-16 21:57:10.000000,423,57.0,254.0,1839.0,,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,44.0,26,True,2021-07-28 20:21:21.000000,0.3.14,19.0,pandas-ta,,,,['pandas'],311.0,311.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000000,0.0,97097.0,97097.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +299,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-10-27 19:07:25.000000,2021-06-25 21:30:09.000000,83,21.0,83.0,1825.0,427.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,26,True,2021-06-25 21:31:10.000000,1.0.9,73.0,swifter,conda-forge/swifter,,,['pandas'],450.0,418.0,https://pypi.org/project/swifter,2021-06-25 21:31:10.000000,32.0,139322.0,143276.0,https://anaconda.org/conda-forge/swifter,2021-06-26 01:03:15.021000,122581.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +300,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-11-17 00:34:29.000000,2021-11-17 00:34:27.000000,171,33.0,280.0,1642.0,,Adaptive Experimentation Platform.,107.0,26,True,2021-09-15 03:59:33.000000,0.2.2,24.0,ax-platform,,,,['pytorch'],223.0,219.0,https://pypi.org/project/ax-platform,2021-09-15 03:59:33.000000,4.0,125278.0,125278.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +301,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-10-27 14:26:10.000000,2021-06-02 06:48:06.000000,225,24.0,96.0,1623.0,195.0,"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.",18.0,26,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,413.0,327.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,330925.0,330925.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,,, +302,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-08-17 01:14:43.000000,2021-08-17 01:01:38.000000,290,25.0,132.0,1514.0,501.0,Distributed Deep learning with Keras & Spark.,27.0,26,True,2021-08-17 01:14:44.000000,3.0.0,22.0,elephas,,,,"['keras', 'spark']",51.0,48.0,https://pypi.org/project/elephas,2021-08-17 00:36:20.000000,3.0,92482.0,92482.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +303,shapash,MAIF/shapash,,interpretability,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000000,2021-11-17 16:37:26.000000,2021-11-17 16:37:26.000000,188,8.0,78.0,1404.0,871.0,Shapash makes Machine Learning models transparent and understandable by everyone.,28.0,26,True,2021-09-27 09:00:46.000000,1.5.0,15.0,shapash,,,,['jupyter'],43.0,43.0,https://pypi.org/project/shapash,2021-09-27 09:00:46.000000,,17544.0,17544.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +304,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-11-15 14:20:41.000000,2021-11-15 14:20:41.000000,309,89.0,333.0,1278.0,1518.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,45.0,26,True,2021-11-10 01:09:47.000000,1.1.10,21.0,vizdoom,,,,,141.0,117.0,https://pypi.org/project/vizdoom,2021-11-10 01:07:33.000000,24.0,1028.0,1195.0,,,,,,,,2.0,11388.0,,,,,,,,,,,,,,,,,,,,, +305,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-11-17 08:53:13.000000,2021-11-12 06:54:43.000000,819,112.0,288.0,1168.0,3284.0,Documentation and samples for ArcGIS API for Python.,72.0,26,True,2021-10-04 20:36:31.000000,1.9.1,31.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-10-04 17:20:11.000000,20.0,54039.0,54126.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2021-10-05 23:20:06.966942,33.0,5240.0,3.0,646.0,,,,,,,,,,,,,,,,,,,,, +306,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-10-11 22:49:29.000000,2021-10-11 22:49:25.000000,431,16.0,267.0,1159.0,842.0,Execute Python code on the fly and display results in Tableau visualizations:.,43.0,26,True,2021-08-20 14:18:35.000000,2.4.0,25.0,tabpy,,,,,76.0,76.0,https://pypi.org/project/tabpy,2021-08-20 14:18:35.000000,0.0,13157.0,13157.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +307,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-10-28 07:29:55.000000,2021-10-28 07:14:22.000000,126,1.0,,1059.0,1380.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",18.0,26,True,2021-10-28 07:35:51.000000,1.1.2,56.0,spacy-transformers,,,,['spacy'],331.0,325.0,https://pypi.org/project/spacy-transformers,2021-10-28 07:29:55.000000,6.0,133339.0,133339.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +308,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-09-07 20:42:40.000000,2020-09-10 12:12:45.000000,122,126.0,122.0,935.0,1280.0,A columnar data container that can be compressed.,33.0,26,False,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2629.0,1661.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,9812.0,14643.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,275420.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +309,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-11-12 19:20:48.000000,2021-11-05 20:46:10.000000,224,6.0,368.0,917.0,2544.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,26,True,2021-11-05 20:42:40.000000,0.28.3,161.0,ktrain,,,,['tensorflow'],239.0,237.0,https://pypi.org/project/ktrain,2021-11-05 20:30:43.000000,2.0,30371.0,30371.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +310,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,276,27.0,26.0,858.0,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,26,False,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,967.0,745.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,82738.0,83050.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,14071.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +311,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-11-17 18:32:53.000000,2021-10-29 19:20:53.000000,73,18.0,154.0,842.0,1156.0,Statistical package in Python based on Pandas.,22.0,26,False,2021-10-28 22:09:53.000000,0.5.0,35.0,pingouin,conda-forge/pingouin,,,,402.0,392.0,https://pypi.org/project/pingouin,2021-10-28 21:59:14.000000,10.0,272246.0,273606.0,https://anaconda.org/conda-forge/pingouin,2021-10-29 00:37:42.640000,47604.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +312,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-11-17 14:53:21.000000,2021-11-17 09:27:43.000000,438,270.0,1274.0,787.0,,Machine learning for NeuroImaging in Python.,179.0,26,True,2021-09-16 14:49:56.000000,0.8.1,38.0,nilearn,conda-forge/nilearn,,,['sklearn'],1575.0,1273.0,https://pypi.org/project/nilearn,2021-09-16 14:47:18.000000,302.0,19675.0,21642.0,https://anaconda.org/conda-forge/nilearn,2021-09-16 18:04:31.312000,129706.0,,,,,2.0,14.0,,,,,,,,,,,,,,,,,,,,, +313,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-11-17 18:25:47.000000,2021-11-17 18:25:47.000000,198,55.0,1967.0,761.0,7617.0,Scalable genomic data analysis.,75.0,26,True,2021-10-20 21:00:49.000000,0.2.78,98.0,hail,,,,['spark'],44.0,44.0,https://pypi.org/project/hail,2021-10-20 21:00:49.000000,0.0,20792.0,20792.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +314,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-11-10 09:10:43.000000,2021-11-10 09:10:43.000000,136,16.0,60.0,721.0,1284.0,Computer Vision in Python.,32.0,26,True,2020-08-16 17:22:48.000000,1.4.11,58.0,mahotas,conda-forge/mahotas,,,,897.0,707.0,https://pypi.org/project/mahotas,2021-10-14 12:53:24.000000,190.0,13253.0,17747.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,305658.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +315,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-10-21 22:56:32.000000,2021-10-21 22:56:32.000000,301,121.0,487.0,690.0,3592.0,The Classical Language Toolkit.,113.0,26,True,2021-10-17 05:32:29.000000,1.0.21,191.0,cltk,,,,,250.0,182.0,https://pypi.org/project/cltk,2021-10-17 05:32:29.000000,68.0,1522.0,1522.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,, +316,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-11-17 17:40:48.000000,2021-11-05 09:44:04.000000,170,67.0,282.0,628.0,2048.0,Sequential Model-based Algorithm Configuration.,38.0,26,True,2021-10-21 07:38:01.000000,1.1.0,34.0,smac,,,,,58.0,,https://pypi.org/project/smac,2021-11-05 10:44:49.000000,58.0,34315.0,34315.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +317,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-11-10 12:31:51.000000,2021-09-25 08:22:31.000000,164,49.0,217.0,541.0,965.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",34.0,26,True,2021-09-04 09:49:51.000000,1.4.5,40.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2021-09-04 05:27:03.000000,44.0,87928.0,89137.0,https://anaconda.org/conda-forge/salib,2021-09-04 07:03:28.179000,72548.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +318,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000000,2021-11-13 07:37:30.000000,2021-11-12 12:16:28.000000,73,10.0,39.0,475.0,2433.0,Python bindings for MPI.,20.0,26,True,2021-11-04 12:22:13.000000,3.1.2,16.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2021-11-04 12:22:13.000000,752.0,136447.0,150030.0,https://anaconda.org/conda-forge/mpi4py,2021-11-05 16:12:27.252000,833170.0,,,,,2.0,2328.0,,,,,,,,,,,,,,,,,,,,, +319,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-10-18 23:02:57.000000,2021-09-07 17:39:33.000000,62,51.0,26.0,317.0,565.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,25.0,26,True,2021-06-17 01:15:10.000000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],108.0,108.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000000,0.0,717062.0,717062.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +320,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-11-10 20:24:58.000000,2021-09-03 09:55:05.000000,1892,97.0,499.0,17934.0,473.0,Deezer source separation library including pretrained models.,18.0,25,True,2021-09-03 09:59:00.000000,2.3.0,34.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-09-03 09:55:50.000000,0.0,8940.0,63039.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,60519.0,,,,,2.0,1289470.0,,,,,,,,,,,,,,,,,,,,, +321,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-11-16 13:31:49.535232,2021-11-03 02:20:58.000000,553,51.0,228.0,8922.0,1873.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",46.0,25,True,2021-06-06 17:14:16.000000,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000000,,16690.0,17159.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-11-16 13:31:49.535232,5.0,13158.0,2.0,,,,,,,,,,,,,,,,,,,,,, +322,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-11-15 20:57:57.000000,2021-11-15 20:57:57.000000,947,157.0,470.0,7976.0,2244.0,Data-centric declarative deep learning framework.,99.0,25,True,2021-06-15 04:22:19.000000,0.4,19.0,ludwig,,,,['tensorflow'],109.0,97.0,https://pypi.org/project/ludwig,2021-06-15 04:19:55.000000,12.0,4673.0,4673.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +323,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2021-08-13 05:11:09.000000,2019-09-27 15:23:22.000000,1112,60.0,203.0,7372.0,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,346.0,306.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1463.0,2005.0,,,,,,,,2.0,27642.0,,,,,,,,,,,,,,,,,,,,, +324,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-08-16 22:05:29.000000,2021-05-06 12:01:05.000000,834,76.0,76.0,6732.0,264.0,Visualizations for machine learning datasets.,28.0,25,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],82.0,76.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,196698.0,196698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +325,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-11-17 17:41:05.000000,2021-11-17 17:41:00.000000,522,345.0,597.0,6704.0,3295.0,"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..",59.0,25,True,2021-09-10 18:17:36.000000,4.5.0,55.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-09-10 18:17:36.000000,4.0,24506.0,26450.0,https://anaconda.org/conda-forge/vaex,2021-09-27 11:31:25.900000,118474.0,,,,,3.0,220.0,,,,,,,,,,,,,,,,,,,,, +326,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-11-16 22:32:32.000000,2021-11-16 22:32:28.000000,662,80.0,119.0,6583.0,1589.0,Trax Deep Learning with Clear Code and Speed.,74.0,25,True,2021-10-26 20:29:38.000000,1.4.1,24.0,trax,,,,,38.0,38.0,https://pypi.org/project/trax,2021-10-26 20:27:35.000000,,3895.0,3895.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +327,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-11-17 18:59:27.000000,2021-11-17 18:28:38.000000,747,180.0,935.0,5661.0,,Always know what to expect from your data.,242.0,25,True,2021-11-12 19:45:12.000000,0.13.42,132.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-11-12 19:37:48.000000,6.0,2129603.0,2129603.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +328,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-11-16 17:00:34.000000,2021-08-04 06:54:21.000000,1120,51.0,215.0,5318.0,205.0,2D and 3D Face alignment library build using pytorch.,23.0,25,True,2021-09-14 15:35:24.000000,1.3.5,11.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2021-09-14 15:35:24.000000,12.0,7271.0,7271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +329,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1323,40.0,219.0,5141.0,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],632.0,530.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,1901.0,1901.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +330,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,886,51.0,291.0,5107.0,622.0,A Python scikit for building and analyzing recommender systems.,38.0,25,False,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,48.0,,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,71113.0,75465.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,200221.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +331,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,328.0,4664.0,1796.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],322.0,244.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,3640.0,3640.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,, +332,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-11-16 03:43:39.000000,2021-11-10 06:46:06.000000,577,54.0,328.0,4246.0,,Deep Learning Visualization Toolkit.,31.0,25,True,2021-09-07 02:12:38.000000,2.2.1,34.0,visualdl,,,,['paddle'],783.0,773.0,https://pypi.org/project/visualdl,2021-11-09 12:29:34.000000,10.0,45757.0,45766.0,,,,,,,,2.0,155.0,,,,,,,,,,,,,,,,,,,,, +333,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-11-16 19:24:57.000000,2021-11-14 03:32:24.000000,1377,103.0,1329.0,3847.0,27229.0,mlpack: a scalable C++ machine learning library --.,280.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,219.0,2563.0,https://anaconda.org/conda-forge/mlpack,2021-11-09 18:05:21.719000,93770.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +334,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-10-29 07:15:48.000000,2021-08-03 16:06:56.000000,470,55.0,246.0,3820.0,710.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",19.0,25,True,2021-05-10 02:52:47.000000,0.9.99,165.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],165.0,165.0,https://pypi.org/project/pytorch-metric-learning,2021-08-31 10:33:13.000000,0.0,65140.0,65356.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-05-10 03:54:12.379000,4769.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +335,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-09-22 21:49:42.000000,2021-09-22 21:49:42.000000,648,27.0,129.0,3777.0,224.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,25,True,2021-06-02 23:04:51.000000,0.2.2,6.0,torchdiffeq,,,,['pytorch'],166.0,166.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000000,0.0,5899.0,5899.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +336,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-06-20 09:40:21.000000,2021-05-10 18:34:53.000000,372,118.0,38.0,3322.0,57.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,25,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],3813.0,3695.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,142193.0,142193.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +337,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-06-15 23:12:57.000000,2021-03-15 18:43:06.000000,814,33.0,74.0,3247.0,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,25,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,3469.0,3183.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,206794.0,206794.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +338,polars,pola-rs/polars,,data-containers,https://github.com/pola-rs/polars,https://github.com/pola-rs/polars,MIT,2020-05-13 19:45:33.000000,2021-11-17 19:07:25.000000,2021-11-17 19:00:02.000000,184,81.0,630.0,3025.0,2522.0,Fast multi-threaded DataFrame library in Rust and Python.,55.0,25,True,2021-11-16 20:46:06.000000,0.10.21,108.0,polars,,,,,4.0,4.0,https://pypi.org/project/polars,2021-11-16 20:46:06.000000,0.0,18638.0,18638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +339,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-11-12 05:09:49.000000,2021-11-12 05:09:43.000000,305,31.0,43.0,2505.0,2900.0,Neural Network Libraries.,63.0,25,True,2021-10-22 08:21:24.000000,1.22.0,59.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-10-21 03:06:30.000000,34.0,3580.0,3590.0,,,,,,,,3.0,531.0,,,,,,,,,,,,,,,,,,,,, +340,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-10-10 04:28:21.000000,2021-06-22 10:51:48.000000,419,58.0,227.0,2428.0,116.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,436.0,418.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,26099.0,26586.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,10140.0,,,,,2.0,275.0,,,,,,,,,,,,,,,,,,,,, +341,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-11-12 20:03:50.000000,2021-11-12 20:03:50.000000,370,48.0,175.0,2427.0,368.0,Uplift modeling and causal inference with machine learning algorithms.,30.0,25,True,2021-08-02 20:49:15.000000,0.11.1,15.0,causalml,,,,,32.0,32.0,https://pypi.org/project/causalml,2021-08-02 20:49:15.000000,0.0,54263.0,54263.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +342,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-11-09 08:14:05.000000,2021-10-15 03:26:15.000000,400,35.0,143.0,2386.0,1756.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,53.0,25,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,49.0,47.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,2.0,1516.0,1517.0,,,,,,,,2.0,65.0,,,,,,,,,,,,,,,,,,,,, +343,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-11-17 14:11:40.000000,2021-11-17 14:11:01.000000,278,57.0,86.0,2375.0,634.0,A library of reinforcement learning components and agents.,51.0,25,True,2021-08-27 13:09:44.000000,0.2.2,11.0,dm-acme,,,,['tensorflow'],47.0,47.0,https://pypi.org/project/dm-acme,2021-08-27 13:10:10.000000,0.0,2063.0,2063.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +344,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-08-11 23:58:11.000000,2018-08-19 12:37:47.000000,255,21.0,39.0,2150.0,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,25,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],1530.0,1476.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,422731.0,424678.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,101289.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +345,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-11-16 15:46:30.000000,2021-11-13 02:17:30.000000,228,60.0,170.0,2122.0,,Bayesian optimization in PyTorch.,61.0,25,True,2021-09-02 20:51:30.000000,0.5.1,18.0,botorch,,,,['pytorch'],181.0,181.0,https://pypi.org/project/botorch,2021-09-02 20:51:30.000000,0.0,149055.0,149055.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +346,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,305,88.0,158.0,2104.0,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,25,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],262.0,220.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,23902.0,23902.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +347,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01.000000,569,23.0,51.0,1996.0,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,106110.0,106110.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +348,accelerate,huggingface/accelerate,,pytorch-utils,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000000,2021-11-12 12:53:32.000000,2021-11-12 12:53:32.000000,107,44.0,84.0,1977.0,,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",27.0,25,True,2021-09-27 15:05:40.000000,0.5.1,8.0,accelerate,,,,['pytorch'],211.0,211.0,https://pypi.org/project/accelerate,2021-09-27 15:04:05.000000,0.0,68107.0,68107.0,,,,,,,,1.0,,3.0,,,,,,,,,,,,,,,,,,,, +349,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,305,135.0,64.0,1923.0,271.0,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,723.0,593.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,77816.0,77816.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +350,PandaralΒ·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-10-17 19:32:08.000000,2021-10-17 19:29:29.000000,121,75.0,64.0,1836.0,128.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,18.0,25,True,2021-10-17 19:32:08.000000,1.5.4,31.0,pandarallel,,,,"['pandas', 'jupyter']",338.0,338.0,https://pypi.org/project/pandarallel,2021-10-17 19:32:08.000000,0.0,172396.0,172396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +351,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-11-17 14:51:41.000000,2021-11-13 00:55:17.000000,214,39.0,132.0,1733.0,2381.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",46.0,25,True,2021-11-10 01:36:28.000000,0.3.4,42.0,textattack,,,,,38.0,38.0,https://pypi.org/project/textattack,2021-11-10 01:36:28.000000,0.0,2813.0,2813.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +352,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-11-15 13:11:26.058000,2021-11-15 03:48:32.000000,233,17.0,65.0,1698.0,356.0,Beautiful visualizations of how language differs among document types.,12.0,25,True,2021-11-15 04:01:17.000000,0.1.5,134.0,scattertext,conda-forge/scattertext,,,,256.0,240.0,https://pypi.org/project/scattertext,2021-11-15 04:01:17.000000,16.0,4303.0,5445.0,https://anaconda.org/conda-forge/scattertext,2021-11-15 13:11:26.058000,58259.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +353,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-07-19 16:15:16.000000,2021-07-19 16:15:16.000000,154,67.0,122.0,1670.0,1599.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2021-06-15 19:22:37.000000,0.7.0,20.0,hypertools,,,,,160.0,151.0,https://pypi.org/project/hypertools,2021-06-15 19:22:37.000000,9.0,1254.0,1254.0,,,,,,,,3.0,4.0,,,,,,,,,,,,,,,,,,,,, +354,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-07-09 12:30:42.000000,2021-07-09 11:06:18.000000,430,62.0,37.0,1665.0,56.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,25,True,2021-07-09 11:16:39.000000,0.1.1,11.0,mtcnn,,,,['tensorflow'],1693.0,1651.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000000,42.0,31527.0,31527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +355,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-10-29 14:09:04.000000,2021-10-29 14:09:03.000000,229,61.0,374.0,1663.0,972.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,14.0,25,True,2021-10-01 07:25:05.000000,0.11.1,75.0,mljar-supervised,,,,,25.0,25.0,https://pypi.org/project/mljar-supervised,2021-10-01 07:25:05.000000,,132343.0,132343.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +356,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-11-02 10:15:57.000000,2021-11-02 10:15:54.000000,453,4.0,344.0,1607.0,614.0,Python sync/async framework for Interactive Brokers API.,29.0,25,True,2021-10-13 07:45:37.000000,0.9.69,94.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2021-10-13 07:45:37.000000,12.0,8004.0,8477.0,https://anaconda.org/conda-forge/ib-insync,2021-10-13 17:19:55.001000,13264.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +357,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1461.0,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,327.0,267.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,7725.0,7725.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +358,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-11-17 15:38:52.000000,2021-11-17 12:57:30.000000,155,104.0,141.0,1358.0,331.0,Algorithms for explaining machine learning models.,18.0,25,True,2021-09-02 14:14:42.000000,0.6.1,20.0,alibi,,,,,132.0,114.0,https://pypi.org/project/alibi,2021-09-02 14:13:36.000000,18.0,12389.0,12389.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +359,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-10-07 01:00:24.000000,2021-10-07 01:00:04.000000,244,65.0,146.0,1240.0,,"CUDA integration for Python, plus shiny features.",74.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1354.0,1062.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,31310.0,31310.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +360,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-11-08 08:19:54.000000,2021-11-08 08:19:54.000000,233,,172.0,1138.0,574.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",17.0,25,True,2021-09-29 04:42:13.000000,1.3.2,15.0,ogb,,,,,177.0,177.0,https://pypi.org/project/ogb,2021-09-29 04:33:43.000000,0.0,9238.0,9238.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +361,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-10-12 11:52:57.000000,2021-10-12 11:52:20.000000,137,3.0,70.0,1134.0,328.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],680.0,670.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,72120.0,72120.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +362,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-11-15 14:49:23.000000,2021-11-08 12:02:54.000000,220,47.0,125.0,1121.0,,TensorLy: Tensor Learning in Python.,48.0,25,True,2021-11-08 13:38:03.000000,0.7.0,18.0,tensorly,conda-forge/tensorly,,,,206.0,186.0,https://pypi.org/project/tensorly,2021-11-08 13:38:03.000000,20.0,6579.0,10849.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,179377.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +363,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-11-17 18:58:45.000000,2021-11-17 18:02:35.000000,321,152.0,404.0,1079.0,2219.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,82.0,25,True,2021-11-09 05:27:10.000000,0.19.0,28.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-11-09 05:27:10.000000,20.0,11807.0,11808.0,,,,,,,,2.0,59.0,,,,,,,,,,,,,,,,,,,,, +364,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-10-21 17:50:40.000000,2021-10-21 17:45:17.000000,159,1.0,111.0,1017.0,202.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,25,True,2021-10-21 17:50:40.000000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1130.0,1088.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000000,42.0,7477.0,7477.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +365,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-11-02 13:02:08.000000,2021-11-02 13:02:08.000000,126,103.0,144.0,1002.0,775.0,Real-time stream processing for python.,43.0,25,True,2021-10-04 14:47:39.000000,0.6.3,16.0,streamz,conda-forge/streamz,,,,261.0,245.0,https://pypi.org/project/streamz,2021-10-04 14:47:39.000000,16.0,10530.0,14889.0,https://anaconda.org/conda-forge/streamz,2021-10-04 16:06:59.119000,217961.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +366,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-10-18 18:27:28.000000,2021-10-18 18:27:28.000000,273,11.0,590.0,937.0,4136.0,PySAL: Python Spatial Analysis Library Meta-Package.,73.0,25,True,2021-08-01 00:02:42.000000,2.5.0,26.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-08-01 00:14:07.000000,36.0,13441.0,20145.0,https://anaconda.org/conda-forge/pysal,2021-08-02 16:50:41.186000,429118.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +367,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-09-13 14:29:08.300000,2021-02-12 19:04:59.000000,206,56.0,589.0,894.0,2079.0,"pyclustring is a Python, C++ data mining library.",26.0,25,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,282.0,246.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,46040.0,47406.0,https://anaconda.org/conda-forge/pyclustering,2021-09-13 14:29:08.300000,31295.0,,,,,2.0,370.0,,,,,,,,,,,,,,,,,,,,, +368,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-09-28 14:44:01.000000,2021-02-26 14:01:59.000000,162,66.0,144.0,772.0,1659.0,A Jupyter - Three.js bridge.,27.0,25,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],53.0,19.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,40065.0,51758.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,349743.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,6394.0,,,,,,,,,,,,,, +369,pyjanitor,pyjanitor-devs/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-11-08 23:28:51.000000,2021-11-02 16:38:55.000000,132,98.0,328.0,769.0,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,95.0,25,True,2021-09-01 14:29:08.000000,0.21.2,52.0,pyjanitor,conda-forge/pyjanitor,,,,131.0,127.0,https://pypi.org/project/pyjanitor,2021-09-01 14:29:03.000000,4.0,21657.0,24092.0,https://anaconda.org/conda-forge/pyjanitor,2021-09-01 17:39:31.814000,107142.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +370,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-11-17 15:41:55.767000,2021-11-17 02:21:19.000000,215,224.0,233.0,763.0,,Scalable Machine Learning with Dask.,69.0,25,True,2021-11-17 02:22:41.000000,2021.11.16,30.0,dask-ml,conda-forge/dask-ml,,,,551.0,509.0,https://pypi.org/project/dask-ml,2021-11-17 02:22:41.000000,42.0,62222.0,67346.0,https://anaconda.org/conda-forge/dask-ml,2021-11-17 15:41:55.767000,251078.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +371,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-11-17 03:18:07.000000,2021-11-17 03:18:03.000000,66,56.0,259.0,570.0,79524.0,TensorFlow ROCm port.,3871.0,25,True,2021-10-14 03:13:43.000000,2.6.2,70.0,tensorflow-rocm,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-rocm,2021-10-14 03:13:43.000000,0.0,1719.0,1719.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,, +372,metrics,PyTorchLightning/metrics,,distributed-ml,https://github.com/PyTorchLightning/metrics,https://github.com/PyTorchLightning/metrics,Apache-2.0,2020-12-22 20:02:42.000000,2021-11-17 11:15:02.000000,2021-11-17 09:06:45.000000,111,37.0,181.0,555.0,536.0,"Machine learning metrics for distributed, scalable PyTorch applications.",96.0,25,True,2021-10-28 22:42:32.000000,0.6.0,15.0,metrics,,,,['pytorch'],1183.0,1171.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000000,12.0,3414.0,3448.0,,,,,,,,3.0,276.0,,,,,,,,,,,,,,,,,,,,, +373,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-10-31 11:47:36.000000,2021-10-26 14:28:38.000000,57,62.0,99.0,423.0,499.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",21.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,740.0,,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,827855.0,827883.0,,,,,,,,2.0,2681.0,,,,,,,,,,,,,,,,,,,,, +374,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-11-12 01:04:03.000000,2021-11-12 01:04:02.000000,77,18.0,54.0,402.0,569.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,13.0,25,True,2021-10-27 21:02:28.000000,1.4.0,31.0,ml-metadata,,,,,164.0,164.0,https://pypi.org/project/ml-metadata,2021-10-27 21:02:28.000000,0.0,881193.0,881246.0,,,,,,,,2.0,1708.0,,,,,,,,,,,,,,,,,,,,, +375,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2021-10-27 17:57:56.000000,2019-12-05 08:17:22.000000,170,37.0,23.0,384.0,46.0,scikit-learn inspired API for CRFsuite.,6.0,25,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3638.0,3242.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,111629.0,111629.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +376,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-11-17 18:17:52.000000,2021-11-17 18:17:39.000000,87,719.0,2768.0,268.0,14746.0,"Keep code, data, containers under control with git and git-annex.",45.0,25,False,2021-10-30 08:45:36.000000,0.15.3,76.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-10-30 08:45:36.000000,26.0,6038.0,9948.0,https://anaconda.org/conda-forge/datalad,2021-10-25 16:49:19.697000,172078.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +377,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-07-30 19:01:32.000000,,3312,119.0,,18334.0,,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",142.0,24,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],58.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,12621.0,12621.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +378,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6289.0,6625.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",121.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,143.0,105.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,3293.0,3293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +379,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1298,39.0,65.0,5619.0,57.0,Python library for processing Chinese text.,8.0,24,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,799.0,723.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,8166.0,8166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +380,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2021-06-18 06:05:47.000000,2020-07-14 02:41:10.000000,707,117.0,86.0,4559.0,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],973.0,945.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,4097.0,4110.0,,,,,,,,3.0,598.0,,,,,,,,,,,,,,,,,,,,, +381,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,977,139.0,402.0,3794.0,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1379.0,873.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,3215.0,3215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +382,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-11-17 14:44:59.000000,2021-10-29 18:43:01.000000,526,64.0,333.0,3785.0,,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,42.0,24,True,2021-10-18 13:55:26.000000,0.9.3,28.0,t5,,,,['tensorflow'],65.0,65.0,https://pypi.org/project/t5,2021-10-18 13:55:26.000000,0.0,13127.0,13127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +383,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-10-15 23:08:42.000000,2021-10-15 23:08:39.000000,959,4.0,354.0,3739.0,628.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,24,True,2021-05-25 22:25:31.000000,2.2.4,31.0,tensorflowonspark,,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2021-05-25 20:44:29.000000,5.0,246782.0,246782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +384,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-11-17 15:23:01.000000,2021-05-03 12:18:31.000000,495,54.0,196.0,3569.0,2154.0,Snips Python library to extract meaning from text.,22.0,24,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,3554.0,3554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +385,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-11-17 15:52:02.000000,2021-11-11 14:20:44.000000,510,40.0,114.0,3400.0,466.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,45.0,24,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,75.0,75.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,45891.0,46106.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,3875.0,,,,,2.0,24.0,,,,,,,,,,,,,,,,,,,,, +386,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-08-25 09:25:32.000000,2021-08-25 09:25:32.000000,649,128.0,794.0,3342.0,838.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",112.0,24,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,10312.0,10312.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +387,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-11-17 11:10:53.000000,2021-11-15 12:17:14.000000,299,97.0,142.0,3164.0,,A Python toolbox for performing gradient-free optimization.,46.0,24,True,2021-01-28 12:05:40.000000,0.4.3,34.0,nevergrad,conda-forge/nevergrad,,,,274.0,260.0,https://pypi.org/project/nevergrad,2021-11-10 18:52:59.000000,14.0,47703.0,48659.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518000,18178.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +388,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-11-17 18:47:27.000000,2021-11-16 17:24:58.000000,260,18.0,154.0,3131.0,640.0,A python library for easy manipulation and forecasting of time series.,41.0,24,True,2021-11-08 21:52:08.000000,0.13.1,21.0,u8darts,,unit8/darts,,,17.0,17.0,https://pypi.org/project/u8darts,2021-11-08 21:52:08.000000,0.0,3185.0,3190.0,,,,https://hub.docker.com/r/unit8/darts,2021-11-08 21:49:58.762773,,195.0,2.0,,,,,,,,,,,,,,,,,,,,,, +389,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-09-17 06:10:10.000000,2021-02-05 18:49:02.000000,268,42.0,30.0,3037.0,195.0,Python library that makes it easy for data scientists to create charts.,21.0,24,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,63.0,58.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,2337.0,2806.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,16917.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +390,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,528,193.0,109.0,2955.0,1340.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,74.0,72.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,2696.0,2763.0,,,,,,,,3.0,2957.0,,,,,,,,,,,,,,,,,,,,, +391,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,608,114.0,99.0,2893.0,195.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],1479.0,1423.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,4671.0,4671.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +392,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-10-15 20:00:02.000000,2021-09-26 12:16:22.000000,640,26.0,96.0,2692.0,296.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",13.0,24,True,2021-06-28 12:45:52.000000,0.6.5,22.0,scikit-opt,,,,['sklearn'],60.0,54.0,https://pypi.org/project/scikit-opt,2021-06-28 12:36:56.000000,6.0,1498.0,1498.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +393,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-05-23 21:26:30.000000,2021-05-23 21:26:30.000000,535,52.0,89.0,2486.0,234.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,24,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],545.0,539.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,10376.0,17163.0,,,,,,,,3.0,162895.0,,,,,,,,,,,,,,,,,,,,, +394,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-11-11 19:15:34.000000,2021-10-29 14:40:09.000000,496,95.0,441.0,2485.0,1085.0,Arctic is a high performance datastore for numeric data.,72.0,24,True,2021-10-28 17:14:57.000000,1.80.0,84.0,arctic,conda-forge/arctic,,,,181.0,139.0,https://pypi.org/project/arctic,2021-10-28 17:14:57.000000,42.0,5107.0,5659.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,16524.0,,,,,3.0,173.0,,,,,,,,,,,,,,,,,,,,, +395,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-11-17 18:24:45.000000,2021-11-17 13:54:56.000000,462,123.0,1178.0,2469.0,,AI Toolkit for Healthcare Imaging.,82.0,24,True,2021-09-24 01:21:01.000000,0.7.0,30.0,monai,,,,['pytorch'],144.0,144.0,https://pypi.org/project/monai,2021-09-24 00:49:41.000000,0.0,15621.0,15621.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +396,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-11-02 18:53:17.000000,2021-09-25 15:27:41.000000,150,32.0,109.0,2455.0,706.0,A GUI for Pandas DataFrames.,10.0,24,True,2021-08-14 09:14:51.000000,0.2.13,43.0,pandasgui,,,,['pandas'],112.0,110.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000000,2.0,6528.0,6528.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +397,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-11-17 17:23:39.000000,2021-11-16 05:46:05.000000,405,114.0,628.0,2244.0,2262.0,Model Serving on PyTorch.,90.0,24,True,2021-08-02 21:31:05.000000,0.4.2,10.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],0.0,,https://pypi.org/project/torchserve,2021-08-02 20:44:55.000000,0.0,15319.0,53881.0,https://anaconda.org/pytorch/torchserve,2021-08-02 20:45:16.815000,15431.0,https://hub.docker.com/r/pytorch/torchserve,2021-08-02 20:52:41.515485,9.0,942889.0,2.0,680.0,,,,,,,,,,,,,,,,,,,,, +398,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-11-12 13:49:17.000000,2021-10-27 09:27:26.000000,475,273.0,416.0,2242.0,789.0,Probabilistic time series modeling in Python.,79.0,24,True,2021-08-12 10:05:38.000000,0.8.1,43.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-11-11 15:18:16.000000,0.0,61077.0,61077.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +399,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,781,38.0,145.0,2085.0,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,False,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,491.0,463.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,2580.0,2886.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,13795.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +400,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-11-16 03:32:09.000000,2021-10-27 03:55:38.000000,151,2.0,184.0,1996.0,796.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,7.0,24,True,2021-10-27 05:06:39.000000,0.2.3,15.0,vidgear,,,,,145.0,143.0,https://pypi.org/project/vidgear,2021-10-27 05:06:39.000000,2.0,3073.0,3088.0,,,,,,,,3.0,487.0,,,,,,,,,,,,,,,,,,,,, +401,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-08-22 16:33:38.000000,2021-07-10 15:56:42.000000,242,18.0,49.0,1987.0,447.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],323.0,305.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,9423.0,9423.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +402,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-11-17 16:17:39.000000,2021-11-15 12:46:08.000000,430,347.0,593.0,1964.0,2938.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",71.0,24,False,2015-03-31 16:33:30.000000,2.0,10.0,essentia,,,,,255.0,245.0,https://pypi.org/project/essentia,2021-11-04 15:23:58.000000,10.0,3188.0,3188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +403,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-08-16 07:14:52.000000,2021-07-16 09:03:20.000000,430,59.0,56.0,1910.0,66.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,24,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],806.0,802.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,83592.0,90113.0,,,,,,,,3.0,195643.0,,,,,,,,,,,,,,,,,,,,, +404,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-11-05 12:39:30.000000,2021-10-26 09:35:54.000000,254,35.0,158.0,1909.0,1033.0,Graph Neural Networks with Keras and Tensorflow 2.,19.0,24,True,2021-08-23 13:15:21.000000,1.0.8,31.0,spektral,,,,"['tensorflow""']",82.0,82.0,https://pypi.org/project/spektral,2021-08-23 13:15:21.000000,0.0,5354.0,5354.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +405,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-10-10 01:12:32.000000,2021-10-10 01:07:35.000000,318,22.0,57.0,1662.0,,Python implementation of TextRank for phrase extraction and summarization of text documents.,17.0,24,True,2021-10-10 01:12:11.000000,3.2.2,18.0,pytextrank,,,,,219.0,207.0,https://pypi.org/project/pytextrank,2021-10-10 01:12:11.000000,12.0,17074.0,17074.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +406,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-11-09 17:22:51.512000,2020-08-19 14:58:00.000000,200,37.0,21.0,1653.0,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,24,False,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],288.0,260.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,8084.0,8394.0,https://anaconda.org/conda-forge/multicore-tsne,2021-11-09 17:22:51.512000,11165.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +407,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-11-17 14:58:03.000000,2021-09-18 00:32:26.000000,482,54.0,58.0,1566.0,341.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",46.0,24,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,128.0,124.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,7176.0,7176.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +408,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-11-13 15:37:21.493000,2021-06-15 21:53:37.000000,193,50.0,40.0,1489.0,728.0,"Large-scale linear classification, regression and ranking in Python.",17.0,24,True,2021-06-16 21:04:08.000000,0.6.1,10.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],103.0,93.0,https://pypi.org/project/sklearn-contrib-lightning,2021-06-15 21:53:28.000000,10.0,1883.0,4371.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2021-11-13 15:37:21.493000,158024.0,,,,,2.0,99.0,,,,,,,,,,,,,,,,,,,,, +409,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-11-11 15:15:32.000000,2021-11-11 15:06:17.000000,149,11.0,87.0,1360.0,155.0,A Python library that helps data scientists to infer causation rather than observing correlation.,22.0,24,True,2021-11-11 15:15:32.000000,0.11.0,16.0,causalnex,,,,"['pytorch', 'sklearn']",32.0,32.0,https://pypi.org/project/causalnex,2021-11-11 15:15:32.000000,0.0,4695.0,4695.0,,,,,,,,2.0,,3.0,,,,,,,,,,,,,,,,,,,, +410,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-10-20 05:09:03.000000,2021-10-20 05:09:03.000000,236,205.0,797.0,1334.0,1217.0,A toolkit for reproducible reinforcement learning research.,78.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],21.0,21.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,1545.0,1545.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +411,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-05-15 18:58:08.000000,2021-05-15 18:58:08.000000,290,45.0,221.0,1215.0,438.0,bt - flexible backtesting for Python.,24.0,24,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,,119.0,79.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,40.0,10212.0,10212.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +412,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-11-17 17:22:37.000000,2021-11-17 13:54:36.000000,216,52.0,117.0,1182.0,280.0,Metric learning algorithms in Python.,21.0,24,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],188.0,170.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,6659.0,6659.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +413,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-11-15 13:02:00.000000,2021-10-27 05:51:03.000000,102,14.0,161.0,1180.0,2773.0,Multi-class confusion matrix library in Python.,16.0,24,True,2021-10-27 06:03:28.000000,3.3,37.0,pycm,,,,,130.0,120.0,https://pypi.org/project/pycm,2021-10-27 06:04:03.000000,10.0,36490.0,36490.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +414,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,147,44.0,23.0,1053.0,127.0,sqldf for pandas.,15.0,24,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],1086.0,988.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,912812.0,912812.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +415,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-05-15 18:59:42.000000,2021-04-24 00:58:10.000000,200,16.0,80.0,1007.0,351.0,ffn - a financial function library for Python.,26.0,24,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,,197.0,155.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,34907.0,34907.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +416,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-11-13 15:59:24.399000,2021-10-25 08:00:42.000000,99,2.0,95.0,912.0,578.0,"Extensible, parallel implementations of t-SNE.",10.0,24,True,2021-10-25 08:35:29.000000,0.6.1,22.0,opentsne,conda-forge/opentsne,,,,266.0,262.0,https://pypi.org/project/opentsne,2021-10-25 08:35:29.000000,4.0,36227.0,39775.0,https://anaconda.org/conda-forge/opentsne,2021-11-13 15:59:24.399000,124200.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +417,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-11-12 16:48:40.000000,2021-11-12 16:48:24.000000,157,3.0,57.0,883.0,491.0,Training neural models with structured signals.,30.0,24,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],131.0,131.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,10465.0,10465.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +418,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-11-04 14:31:26.133000,2021-10-20 16:51:52.000000,213,69.0,230.0,854.0,,"OpenCL integration for Python, plus shiny features.",88.0,24,True,2021-10-07 01:34:13.000000,2021.2.8,71.0,pyopencl,conda-forge/pyopencl,,,,817.0,579.0,https://pypi.org/project/pyopencl,2021-10-18 03:11:29.000000,238.0,14094.0,22775.0,https://anaconda.org/conda-forge/pyopencl,2021-11-04 14:31:26.133000,529564.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +419,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-11-15 09:55:43.000000,2021-06-23 11:19:05.000000,273,16.0,181.0,853.0,409.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,142.0,142.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,35598.0,35598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +420,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-11-08 13:57:14.000000,2021-10-04 15:17:16.000000,186,13.0,145.0,826.0,,ARCH models in Python.,29.0,24,False,2021-07-22 22:40:03.000000,5.0.1,34.0,arch,,,,,441.0,399.0,https://pypi.org/project/arch,2021-07-22 22:40:03.000000,42.0,229253.0,229253.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +421,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-11-16 23:51:25.000000,2021-11-16 04:29:57.000000,93,182.0,405.0,801.0,5467.0,"Visualize, create, and debug image and video datasets and model predictions.",19.0,24,True,2021-11-16 04:40:56.000000,0.14.1,64.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",53.0,53.0,https://pypi.org/project/fiftyone,2021-11-16 04:40:56.000000,0.0,11809.0,11809.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +422,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,86,11.0,14.0,788.0,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,24,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1647.0,1545.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,468391.0,468391.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +423,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-11-14 01:15:18.000000,2021-11-14 01:15:18.000000,138,11.0,80.0,787.0,193.0,kapre: Keras Audio Preprocessors.,13.0,24,True,2021-11-14 01:13:37.000000,0.3.6,22.0,kapre,,,,['tensorflow'],1192.0,1170.0,https://pypi.org/project/kapre,2021-11-14 01:13:37.000000,22.0,1820.0,1820.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,, +424,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,234,98.0,186.0,773.0,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,266.0,230.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,14562.0,14562.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +425,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-11-16 19:25:12.000000,2021-11-15 02:55:00.000000,197,157.0,319.0,513.0,1509.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",80.0,24,True,2021-11-10 18:53:06.000000,0.22.0,28.0,tensorflow-io,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-io,2021-11-10 18:47:31.000000,0.0,151925.0,151925.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +426,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-09-08 21:50:14.000000,2021-08-28 19:33:41.000000,84,14.0,68.0,493.0,329.0,"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.",20.0,24,True,2021-08-28 19:37:31.000000,1.6.0,34.0,tinytag,,,,,530.0,434.0,https://pypi.org/project/tinytag,2021-08-28 19:37:31.000000,96.0,9884.0,9884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +427,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-11-15 19:24:15.089000,2021-09-30 10:13:24.000000,77,4.0,66.0,465.0,1230.0,A Comparative Framework for Multimodal Recommender Systems.,13.0,24,True,2021-09-26 07:01:44.000000,1.14.1,45.0,cornac,conda-forge/cornac,,,,70.0,68.0,https://pypi.org/project/cornac,2021-09-26 07:12:34.000000,2.0,6608.0,12827.0,https://anaconda.org/conda-forge/cornac,2021-11-15 19:24:15.089000,186598.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +428,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-11-16 14:20:00.000000,2021-11-16 14:19:31.000000,31,88.0,161.0,365.0,410.0,python binding for libvips using cffi.,12.0,24,True,2021-06-28 10:56:34.000000,2.1.15,21.0,pyvips,conda-forge/pyvips,,,,261.0,239.0,https://pypi.org/project/pyvips,2021-06-28 10:56:34.000000,22.0,13358.0,13824.0,https://anaconda.org/conda-forge/pyvips,2021-09-10 20:29:22.228000,12588.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +429,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-11-17 16:55:32.000000,2021-11-16 19:19:05.000000,43,53.0,143.0,205.0,2962.0,Asynchronous Distributed Hyperparameter Optimization.,24.0,24,False,2021-09-14 19:34:23.000000,0.1.17,18.0,orion,,,,,52.0,44.0,https://pypi.org/project/orion,2021-09-14 19:34:23.000000,8.0,2245.0,2245.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +430,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-11-16 17:34:56.000000,2021-11-16 17:34:53.000000,582,107.0,971.0,7604.0,2275.0,Production infrastructure for machine learning at scale.,22.0,23,True,2021-08-05 04:33:35.000000,0.40.0,60.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-08-05 04:27:22.000000,0.0,1444.0,1444.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +431,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-11-16 05:52:53.000000,2021-11-10 06:49:21.000000,863,530.0,390.0,5874.0,893.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,87.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],787.0,787.0,,,,,2710.0,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,67758.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +432,english-words,dwyl/english-words,,nlp,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000000,2021-11-10 15:08:38.000000,2021-10-20 08:05:51.000000,1206,45.0,26.0,5740.0,85.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,26.0,23,True,2021-08-02 04:02:28.000000,1.0.4,5.0,english-words,,,,,4.0,,https://pypi.org/project/english-words,2021-08-02 04:02:28.000000,4.0,7591.0,7591.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +433,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-07-26 20:38:52.000000,2020-05-03 07:13:22.000000,556,54.0,51.0,4992.0,108.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,23,False,,,18.0,flashtext,,,,,651.0,619.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,438356.0,438356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +434,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-07-02 01:49:08.000000,2021-03-19 15:48:33.000000,592,68.0,100.0,4321.0,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,23,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],593.0,587.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1050.0,1050.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +435,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-09-11 18:56:19.000000,2018-08-21 02:42:52.000000,1216,45.0,84.0,3546.0,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,117.0,96.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,946.0,946.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +436,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-11-10 14:17:21.000000,2021-11-10 14:17:20.000000,490,95.0,547.0,3410.0,,Visual analysis and diagnostic tools to facilitate machine learning model selection.,102.0,23,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,393397.0,393397.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +437,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24.000000,518,65.0,47.0,3339.0,440.0,Fast and flexible AutoML with learning guarantees.,27.0,23,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],43.0,41.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1400.0,1400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +438,speechbrain,speechbrain/speechbrain,,audio,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000000,2021-11-17 18:47:01.000000,2021-11-17 18:47:01.000000,568,110.0,405.0,3295.0,,A PyTorch-based Speech Toolkit.,139.0,23,True,2021-09-11 22:34:16.000000,0.5.10,9.0,speechbrain,,,,['pytorch'],88.0,88.0,https://pypi.org/project/speechbrain,2021-09-11 22:35:26.000000,0.0,6764.0,6764.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +439,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-11-02 15:48:01.000000,2021-06-02 09:45:13.000000,571,78.0,108.0,3225.0,150.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],73.0,65.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,6323.0,6328.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,186.0,3.0,,,,,,,,,,,,,,,,,,,,,, +440,PaddleSeg,PaddlePaddle/PaddleSeg,,image,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000000,2021-11-17 12:36:08.000000,2021-11-17 07:28:31.000000,674,371.0,394.0,3064.0,,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks..",58.0,23,True,2021-10-13 06:47:17.000000,2.3.0,13.0,paddleseg,,,,['paddle'],366.0,366.0,https://pypi.org/project/paddleseg,2021-10-13 06:47:17.000000,0.0,680.0,680.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +441,FinRL,AI4Finance-LLC/FinRL,,reinforcement-learning,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000000,2021-11-17 09:39:45.000000,2021-11-17 09:39:45.000000,760,75.0,138.0,2840.0,1136.0,Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021.,43.0,23,True,2021-09-05 12:46:17.000000,0.3.1,5.0,finrl,,,,,7.0,7.0,https://pypi.org/project/finrl,2021-09-05 12:46:17.000000,,266.0,266.0,,,,,,,,3.0,,,,,,,,,,,AI4Finance-Foundation/FinRL,,,,,,,,,,, +442,layout-parser,Layout-Parser/layout-parser,,image,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000000,2021-10-31 06:33:00.000000,2021-09-23 16:39:47.000000,235,33.0,31.0,2635.0,166.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,5.0,23,True,2021-09-23 17:37:22.000000,0.3.2,9.0,layoutparser,,,,,29.0,29.0,https://pypi.org/project/layoutparser,2021-09-23 17:37:22.000000,0.0,3910.0,3910.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +443,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-11-17 15:46:49.000000,2021-11-04 12:10:44.000000,712,67.0,535.0,2554.0,,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",87.0,23,True,2021-10-15 15:52:28.000000,1.8.1,36.0,adversarial-robustness-toolbox,,,,,167.0,167.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-10-15 15:41:12.000000,0.0,6524.0,6524.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +444,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-11-15 21:18:46.000000,2021-11-15 21:18:42.000000,322,126.0,88.0,2548.0,735.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,34.0,23,True,2021-10-21 20:42:30.000000,2021.10.21,23.0,tensorflow-graphics,,,,['tensorflow'],6.0,,https://pypi.org/project/tensorflow-graphics,2021-10-21 20:42:30.000000,6.0,3277.0,3277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +445,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000000,2021-11-17 15:34:54.000000,2021-11-17 07:02:44.000000,580,185.0,266.0,2472.0,976.0,Simple and Distributed Machine Learning.,73.0,23,True,2021-11-16 05:19:37.000000,0.9.4,22.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,38561.0,38561.0,,,,,,,,3.0,,,,,,,,,,,microsoft/SynapseML,,,,,,,,,,, +446,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-11-14 16:21:37.000000,2021-10-26 05:41:36.000000,696,575.0,820.0,2432.0,3396.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",105.0,23,True,2021-07-19 00:31:21.000000,0.11.0,163.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-11-14 16:21:37.000000,,6924.0,6924.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +447,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-11-16 23:49:54.000000,2021-11-16 23:42:10.000000,406,42.0,231.0,2336.0,439.0,Learning to Rank in TensorFlow.,25.0,23,True,2021-11-16 23:49:54.000000,0.5.0,19.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-11-16 01:31:58.000000,2.0,38411.0,38411.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +448,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-09-22 15:32:01.000000,2021-09-22 15:31:55.000000,666,123.0,358.0,2306.0,6364.0,An Algorithmic Trading Library for Crypto-Assets in Python.,146.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,25.0,23.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,745.0,745.0,,,,,,,,3.0,,,,,,,,,,,scrtlabs/catalyst,,,,,,,,,,, +449,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-09-22 02:27:34.000000,2020-03-16 04:26:47.000000,189,14.0,23.0,2284.0,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,23,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,225.0,222.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1042.0,1368.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,8157.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +450,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,216,81.0,65.0,1926.0,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,231.0,201.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,22493.0,22493.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +451,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-11-17 15:02:00.000000,2021-11-14 17:15:43.000000,232,31.0,213.0,1811.0,,"NLP, before and after spaCy.",31.0,23,True,2021-04-12 15:49:48.000000,0.11.0,30.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2021-04-12 15:49:48.000000,154.0,37177.0,39034.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,100284.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +452,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-09-28 21:55:38.000000,2021-09-28 21:55:38.000000,142,12.0,74.0,1520.0,247.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,12.0,23,True,2021-05-24 16:45:59.000000,0.0.11,10.0,checklist,,,,['jupyter'],49.0,45.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000000,4.0,15316.0,15316.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +453,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-11-11 10:17:02.000000,2021-11-11 10:17:00.000000,319,62.0,83.0,1504.0,552.0,Library for training machine learning models with privacy for training data.,43.0,23,True,2021-09-01 02:54:34.000000,0.7.3,17.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2021-09-01 02:54:34.000000,2.0,20289.0,20291.0,,,,,,,,2.0,59.0,,,,,,,,,,,,,,,,,,,,, +454,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-11-16 20:16:59.000000,2021-11-16 19:49:11.000000,208,129.0,219.0,1503.0,1026.0,Time series forecasting with PyTorch.,23.0,23,True,2021-09-26 11:16:27.000000,0.9.1,28.0,pytorch-forecasting,,,,,0.0,,https://pypi.org/project/pytorch-forecasting,2021-09-26 11:16:27.000000,0.0,22899.0,22899.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +455,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-11-17 18:48:50.000000,2021-11-17 18:48:44.000000,130,56.0,190.0,1498.0,,PyTorch extensions for high performance and large scale training.,48.0,23,True,2021-11-08 23:10:46.000000,0.4.2,24.0,fairscale,,,,['pytorch'],101.0,101.0,https://pypi.org/project/fairscale,2021-11-08 23:08:00.000000,0.0,54340.0,54340.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +456,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-09-20 16:06:33.000000,2021-09-20 16:03:46.000000,179,31.0,87.0,1489.0,382.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,True,2021-09-20 16:06:33.000000,1.8.0,28.0,torchmeta,,,,['pytorch'],74.0,74.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000000,,944.0,944.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +457,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-10-21 19:41:14.000000,2021-01-07 09:40:40.000000,223,62.0,53.0,1483.0,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],115.0,107.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,2101.0,2101.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,,, +458,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-11-10 16:43:45.000000,2021-03-10 15:44:00.000000,120,69.0,108.0,1472.0,978.0,Extract Transform Load for Python 3.5+.,37.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,177.0,125.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,4678.0,4678.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +459,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2021-06-21 22:49:33.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1444.0,1059.0,"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.",41.0,23,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,102.0,50.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,2821.0,2821.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +460,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-11-03 11:00:08.000000,2021-10-25 12:34:28.000000,167,,64.0,1430.0,2200.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,13.0,23,False,2021-09-29 21:05:51.000000,_10202,101.0,karateclub,,,,,60.0,60.0,https://pypi.org/project/karateclub,2021-09-29 21:00:31.000000,0.0,4563.0,4563.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +461,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-07-08 19:05:05.000000,2021-07-08 19:03:55.000000,187,2.0,49.0,1409.0,108.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,23,True,2021-07-08 19:05:05.000000,1.0.2,10.0,geffnet,,,,['pytorch'],83.0,83.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000000,0.0,8268.0,8268.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +462,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-11-17 18:18:13.000000,2021-11-17 18:18:12.000000,150,19.0,21.0,1355.0,128.0,fklearn: Functional Machine Learning.,40.0,23,True,2021-10-29 18:26:34.000000,1.23.0,22.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-10-29 18:26:34.000000,,3428.0,3428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +463,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,187,30.0,35.0,1350.0,156.0,"Simple tools for logging and visualizing, loading and training.",35.0,23,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],50.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,12471.0,12471.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +464,lightning-flash,PyTorchLightning/lightning-flash,,pytorch-utils,https://github.com/PyTorchLightning/lightning-flash,https://github.com/PyTorchLightning/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000000,2021-11-17 17:20:07.000000,2021-11-17 17:18:22.000000,126,89.0,277.0,1271.0,683.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,55.0,23,True,2021-11-05 15:01:01.000000,0.5.2,27.0,lightning-flash,,,,['pytorch'],33.0,33.0,https://pypi.org/project/lightning-flash,2021-11-05 15:01:01.000000,0.0,2147.0,2147.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +465,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-10-27 00:08:57.000000,2021-10-27 00:08:54.000000,145,103.0,92.0,1074.0,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,29.0,23,True,2021-08-23 23:29:59.000000,0.6.0,12.0,tensorflow-recommenders,,,,['tensorflow'],58.0,58.0,https://pypi.org/project/tensorflow-recommenders,2021-08-23 23:29:59.000000,0.0,195285.0,195285.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +466,arq,samuelcolvin/arq,,data-pipelines,https://github.com/samuelcolvin/arq,https://github.com/samuelcolvin/arq,MIT,2016-07-21 18:24:42.000000,2021-11-10 13:34:12.000000,2021-10-15 19:26:51.000000,83,29.0,90.0,1004.0,314.0,Fast job queuing and RPC in python with asyncio and redis.,32.0,23,True,2021-09-02 12:45:02.000000,0.22,55.0,arq,,,,,109.0,101.0,https://pypi.org/project/arq,2021-09-02 12:46:58.000000,8.0,13319.0,13319.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +467,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-11-15 15:15:49.000000,2021-08-09 09:12:41.000000,305,10.0,80.0,956.0,459.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,23.0,23,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,,213.0,205.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,13938.0,13938.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +468,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-11-17 10:44:56.000000,2021-11-15 09:31:13.000000,97,68.0,114.0,943.0,422.0,"Algorithms for outlier, adversarial and drift detection.",11.0,23,True,2021-10-29 10:56:10.000000,0.7.3,18.0,alibi-detect,,,,,48.0,46.0,https://pypi.org/project/alibi-detect,2021-10-29 10:53:12.000000,2.0,13869.0,13869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +469,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-09-24 23:52:45.000000,2021-07-28 09:17:30.000000,184,2.0,81.0,938.0,382.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2021-06-19 16:14:57.000000,4.5.0,38.0,keract,,,,['tensorflow'],105.0,100.0,https://pypi.org/project/keract,2021-06-19 16:14:15.000000,5.0,1218.0,1218.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +470,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2021-11-02 11:26:34.000000,2021-08-03 02:23:19.000000,240,36.0,35.0,894.0,26.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,8.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,397.0,349.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,15177.0,15177.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +471,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2021-08-23 20:11:23.000000,2021-08-23 17:19:35.000000,140,54.0,187.0,824.0,1728.0,Python audio and music signal processing library.,20.0,23,True,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,196.0,162.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,10180.0,10180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +472,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-10-09 06:10:48.000000,2021-10-09 06:09:16.000000,185,,66.0,800.0,64.0,Implementation of the node2vec algorithm.,9.0,23,True,2021-10-09 06:10:48.000000,0.4.4,15.0,node2vec,conda-forge/node2vec,,,,10.0,,https://pypi.org/project/node2vec,2021-10-09 06:07:52.000000,10.0,205294.0,205756.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,19441.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +473,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-11-01 09:41:26.000000,2021-05-10 08:14:09.000000,91,24.0,66.0,727.0,289.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],255.0,245.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,9017.0,9017.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +474,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-11-17 18:14:49.000000,2021-11-17 18:14:35.000000,60,71.0,318.0,723.0,2178.0,"Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to..",23.0,23,True,2021-10-28 02:28:37.000000,0.13.5,60.0,ploomber,,,,,17.0,17.0,https://pypi.org/project/ploomber,2021-10-28 02:28:37.000000,0.0,4023.0,4023.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +475,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,130,72.0,94.0,695.0,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],605.0,583.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,62040.0,62040.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +476,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-09-29 17:25:21.000000,2019-09-02 19:02:38.000000,149,30.0,234.0,694.0,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,7.0,23,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,125.0,114.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,2987.0,2987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +477,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-10-31 18:31:18.000000,2021-10-31 18:31:18.000000,194,9.0,303.0,687.0,,Search and download Copernicus Sentinel satellite images.,42.0,23,False,2021-08-19 17:37:51.000000,1.1.0,39.0,sentinelsat,,,,,291.0,247.0,https://pypi.org/project/sentinelsat,2021-08-19 17:37:51.000000,44.0,14715.0,14718.0,,,,,,,,3.0,224.0,,,,,,,,,,,,,,,,,,,,, +478,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-10-24 19:56:57.000000,2021-10-24 19:30:56.000000,85,18.0,109.0,669.0,1220.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,12.0,23,True,2021-10-24 19:56:57.000000,0.3.7,78.0,explainerdashboard,,,,,43.0,43.0,https://pypi.org/project/explainerdashboard,2021-10-24 19:56:57.000000,,6837.0,6837.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +479,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-11-08 14:06:06.000000,2021-11-05 20:24:04.000000,292,192.0,2817.0,627.0,15358.0,An open-source application for biological image analysis.,121.0,23,True,2021-07-22 19:01:42.000000,4.2.1,43.0,cellprofiler,,,,,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,859.0,878.0,,,,,,,,3.0,1812.0,,,,,,,,,,,,,,,,,,,,, +480,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-06-24 15:32:01.000000,2021-03-14 16:01:01.000000,101,20.0,38.0,626.0,227.0,python partial dependence plot toolbox.,7.0,23,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,484.0,450.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,73535.0,73895.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,10107.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +481,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-11-09 10:02:37.000000,2019-11-15 03:38:30.000000,105,22.0,39.0,618.0,105.0,pickleDB is an open source key-value store using Python's json module.,12.0,23,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,867.0,755.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,27288.0,27288.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +482,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-10-11 17:16:45.000000,2021-04-19 05:00:36.000000,122,35.0,67.0,590.0,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,23,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],140.0,122.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,9283.0,9283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +483,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-10-21 03:04:53.000000,2021-10-21 03:04:53.000000,127,25.0,90.0,491.0,393.0,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,94.0,74.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,19330.0,20220.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,59681.0,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,, +484,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2021-06-14 06:11:28.000000,2021-06-14 06:10:09.000000,66,11.0,10.0,421.0,,Find pyspark to make it importable.,14.0,23,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],2255.0,2053.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1634371.0,1643449.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,590085.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +485,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-11-16 16:36:01.000000,2021-09-29 14:31:26.000000,68,103.0,185.0,375.0,664.0,"Simple, concise geographical visualization in Python.",23.0,23,True,2021-09-30 16:31:39.000000,1.9.2,29.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-09-29 14:36:26.000000,20.0,7368.0,9285.0,https://anaconda.org/conda-forge/geoviews,2021-09-29 18:42:51.694000,84379.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +486,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-11-08 15:01:15.000000,2021-11-02 07:11:19.000000,51,14.0,81.0,316.0,537.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,23,True,2021-06-03 20:52:09.000000,3.5.0,38.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2021-06-03 20:52:09.000000,148.0,22795.0,29939.0,https://anaconda.org/conda-forge/vega,2021-08-11 21:51:27.565000,464371.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +487,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-10-18 15:23:13.000000,2021-10-18 15:23:12.000000,34,29.0,30.0,255.0,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,16.0,23,False,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],191.0,191.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,9945.0,9945.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +488,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-10-31 16:40:25.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,240.0,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,False,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,88.0,74.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,17864.0,17864.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +489,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2021-11-04 09:39:27.000000,2021-09-06 14:45:26.000000,27,2.0,10.0,199.0,83.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,8.0,23,False,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,362.0,342.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,60435.0,61473.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,22854.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +490,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-10-27 08:33:56.000000,2021-10-21 11:47:11.000000,30,8.0,147.0,136.0,,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",10.0,23,False,2021-10-06 01:05:34.000000,3.3.0,65.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-10-06 01:05:34.000000,342.0,1703608.0,1727051.0,https://anaconda.org/conda-forge/pystan,2021-09-21 02:32:24.465000,1312842.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +491,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,24,3.0,9.0,134.0,90.0,Get list of common stop words in various languages in Python.,8.0,23,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1600.0,1342.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,1062199.0,1062199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +492,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-11-14 20:24:50.000000,2021-11-14 20:24:48.000000,905,68.0,76.0,6480.0,,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",11.0,22,True,2021-11-13 04:09:52.000000,0.22.0,95.0,vit-pytorch,,,,['pytorch'],51.0,51.0,https://pypi.org/project/vit-pytorch,2021-11-13 04:09:52.000000,0.0,4752.0,4752.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +493,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-11-17 17:14:56.000000,2021-11-17 17:14:52.000000,804,145.0,74.0,6269.0,,A natural language modeling framework based on PyTorch.,215.0,22,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],102.0,101.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,234.0,242.0,,,,,,,,3.0,280.0,,,,,,,,,,,,,,,,,,,,, +494,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,964,327.0,288.0,5463.0,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,False,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,69.0,66.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,615.0,687.0,,,,,,,,2.0,3469.0,,,,,,,,,,,,,,,,,,,,, +495,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000000,2021-11-11 10:15:35.000000,2021-11-11 10:15:33.000000,724,52.0,743.0,5367.0,,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,74.0,22,False,2021-10-06 13:00:09.000000,0.6.0,9.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],125.0,125.0,https://pypi.org/project/pytorch3d,2021-08-05 14:36:30.000000,0.0,8448.0,9439.0,https://anaconda.org/pytorch3d/pytorch3d,2021-10-06 12:54:50.207000,23797.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +496,deep-daze,lucidrains/deep-daze,,image,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000000,2021-10-19 02:59:23.000000,2021-10-19 02:58:47.000000,266,80.0,69.0,3902.0,,Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation..,13.0,22,True,2021-10-19 02:59:23.000000,0.10.3,65.0,deep-daze,,,,,30.0,30.0,https://pypi.org/project/deep-daze,2021-10-19 02:59:23.000000,,22521.0,22521.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +497,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-10-03 16:17:32.000000,2020-11-23 17:40:40.000000,329,30.0,59.0,3866.0,460.0,Finding duplicate images made easy!.,9.0,22,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],22.0,20.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,2503.0,2503.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +498,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-11-05 19:29:01.000000,2021-10-15 20:16:28.000000,492,232.0,1256.0,3667.0,5776.0,ArrayFire: a general purpose GPU library.,81.0,22,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,461.0,482.0,,,,,,,,2.0,1661.0,,,,,,,,,,,,,,,,,,,,, +499,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-11-13 09:54:39.000000,2021-11-13 09:54:37.000000,817,26.0,165.0,3601.0,922.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",56.0,22,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,,26.0,25.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,791.0,791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +500,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16.000000,908,28.0,429.0,3543.0,1810.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,22,True,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,266.0,266.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +501,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-05-18 07:51:15.000000,2020-04-17 09:51:20.000000,824,195.0,252.0,3524.0,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,22,False,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,51468.0,51468.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +502,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2021-08-16 12:19:16.000000,2021-08-16 11:45:18.000000,372,6.0,16.0,3096.0,123.0,TensorFlow Reinforcement Learning.,13.0,22,True,2021-08-16 12:19:16.000000,1.2.0,5.0,trfl,,,,['tensorflow'],72.0,68.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000000,4.0,2204.0,2204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +503,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-07-19 16:40:30.000000,2020-12-08 16:56:38.000000,1047,437.0,1100.0,2855.0,16205.0,Unified and efficient Machine Learning.,248.0,22,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2105.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,108889.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1470.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,, +504,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-10-18 02:38:38.000000,2021-10-18 01:45:21.000000,591,151.0,93.0,2815.0,143.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,18.0,22,True,2021-10-18 02:38:39.000000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000000,6.0,9692.0,9700.0,,,,,,,,3.0,276.0,,,,,,,,,,,,,,,,,,,,, +505,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-11-15 19:52:56.000000,2021-11-15 19:38:33.000000,204,49.0,173.0,2685.0,,Hummingbird compiles trained ML models into tensor computation for faster inference.,26.0,22,True,2021-08-31 22:55:45.000000,0.4.1,14.0,hummingbird-ml,,,,,20.0,20.0,https://pypi.org/project/hummingbird-ml,2021-08-31 22:53:58.000000,,2628.0,2636.0,,,,,,,,2.0,147.0,,,,,,,,,,,,,,,,,,,,, +506,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-11-17 14:02:26.000000,2021-11-17 03:45:49.000000,284,142.0,780.0,2278.0,984.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",38.0,22,True,2021-10-23 17:50:11.000000,0.7.5,100.0,pymars,,,,,0.0,,https://pypi.org/project/pymars,2021-10-23 17:50:11.000000,0.0,3587.0,3587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +507,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-11-16 04:37:16.000000,2021-11-15 21:51:47.000000,205,20.0,105.0,2002.0,,DDSP: Differentiable Digital Signal Processing.,29.0,22,True,2021-07-30 19:21:03.000000,1.6.3,37.0,ddsp,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/ddsp,2021-08-28 01:01:55.000000,,1380.0,1380.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +508,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-11-15 15:22:28.000000,2021-11-15 15:22:01.000000,192,29.0,240.0,1999.0,,STUMPY is a powerful and scalable Python library for modern time series analysis.,26.0,22,True,2021-07-28 11:44:51.000000,1.9.2,22.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-07-28 11:44:51.000000,0.0,303054.0,304143.0,https://anaconda.org/conda-forge/stumpy,2021-07-28 11:53:53.364000,32690.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +509,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-06-29 18:11:30.000000,2021-05-19 15:52:48.000000,292,53.0,66.0,1996.0,400.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,22,True,2021-05-18 16:13:10.000000,2.6.0,32.0,sru,,,,['pytorch'],18.0,16.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000000,2.0,4222.0,4222.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +510,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-11-15 11:44:27.000000,2021-11-15 11:43:39.000000,160,36.0,47.0,1935.0,326.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,7.0,7.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,50453.0,50453.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +511,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-08-02 11:34:58.000000,2020-06-02 14:50:14.000000,72,12.0,57.0,1673.0,,The friendly PIL fork.,310.0,22,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,533.0,483.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,35402.0,35402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +512,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-09-24 18:27:27.000000,2021-05-25 16:49:48.000000,185,20.0,181.0,1638.0,947.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,22,True,2021-05-25 16:57:42.000000,1.4.0,12.0,ampligraph,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000000,,1328.0,1328.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +513,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-11-06 23:09:00.000000,2021-11-06 23:08:22.000000,220,13.0,104.0,1630.0,245.0,"Reformer, the efficient Transformer, in Pytorch.",10.0,22,True,2021-11-06 23:09:00.000000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000000,,32070.0,32070.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +514,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-11-09 18:19:26.000000,2021-11-09 18:19:21.000000,245,86.0,206.0,1567.0,1774.0,Pytorch framework for doing deep learning on point clouds.,29.0,22,True,2021-04-30 09:00:22.000000,1.3.0,14.0,torch-points3d,,,,['pytorch'],3.0,3.0,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000000,,886.0,886.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +515,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,103,29.0,51.0,1491.0,350.0,"A fast, efficient universal vector embedding utility package.",4.0,22,False,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,222.0,208.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,5707.0,5707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +516,pygraphistry,graphistry/pygraphistry,,graph,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000000,2021-10-18 23:52:30.000000,2021-10-18 23:50:31.000000,143,63.0,106.0,1478.0,808.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",17.0,22,True,2021-10-18 23:52:30.000000,0.20.2,123.0,graphistry,,,,['jupyter'],55.0,51.0,https://pypi.org/project/graphistry,2021-10-18 23:52:30.000000,4.0,984.0,984.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +517,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-11-12 18:20:50.000000,2021-11-12 18:20:50.000000,209,38.0,372.0,1405.0,591.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,35.0,22,True,2021-06-10 09:45:12.000000,0.8.0,24.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000000,2.0,6010.0,6010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +518,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-11-13 16:02:36.000000,2021-11-13 09:41:39.000000,119,136.0,1245.0,1404.0,,A Python package for manipulating 2-dimensional tabular data structures.,32.0,22,True,2021-07-02 00:15:35.000000,1.0.0,16.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2021-07-01 23:36:34.000000,6.0,69488.0,69511.0,,,,,,,,3.0,1191.0,,,,,,,,,,,,,,,,,,,,, +519,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-11-10 05:27:37.000000,2021-11-10 05:27:37.000000,232,41.0,192.0,1399.0,3368.0,"A unified, comprehensive and efficient recommendation library.",41.0,22,True,2021-09-16 13:45:46.000000,1.0.0,6.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-09-16 13:45:46.000000,,559.0,628.0,https://anaconda.org/aibox/recbole,2021-09-16 16:45:01.892000,834.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +520,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-10-19 18:06:53.000000,2021-10-19 18:06:53.000000,430,16.0,63.0,1333.0,392.0,Common financial technical indicators implemented in Pandas.,27.0,22,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,132.0,128.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,7335.0,7335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +521,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-08-16 11:44:51.000000,2021-08-16 11:44:51.000000,215,19.0,87.0,1317.0,454.0,Contextually-keyed word vectors.,17.0,22,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,108.0,96.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,3448.0,4859.0,https://anaconda.org/conda-forge/sense2vec,2021-07-14 13:20:19.752000,23378.0,,,,,3.0,22034.0,,,,,,,,,,,,,,,,,,,,, +522,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-11-17 13:39:31.000000,2021-11-17 13:19:04.000000,82,52.0,201.0,1305.0,528.0,A python library for self-supervised learning on images.,13.0,22,True,2021-11-02 14:33:23.000000,1.1.22,34.0,lightly,,,,['pytorch'],24.0,24.0,https://pypi.org/project/lightly,2021-11-02 14:44:37.000000,0.0,1470.0,1470.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +523,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1291.0,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,False,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],38.0,37.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +524,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-11-05 16:04:10.000000,2021-10-26 07:08:33.000000,91,43.0,50.0,1274.0,,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,22,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],90.0,90.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,71968.0,71968.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +525,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-10-31 15:13:32.850000,2021-10-31 13:30:02.000000,114,33.0,23.0,1108.0,,A Python package for time series classification.,9.0,22,True,2021-10-31 13:51:09.000000,0.12.0,18.0,pyts,conda-forge/pyts,,,,154.0,150.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000000,4.0,9918.0,10267.0,https://anaconda.org/conda-forge/pyts,2021-10-31 15:13:32.850000,9446.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +526,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-09-08 22:25:11.000000,2021-07-15 18:43:58.000000,142,35.0,192.0,1048.0,,A full spaCy pipeline and models for scientific/biomedical documents.,21.0,22,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,370.0,358.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,23015.0,23015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +527,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2021-10-18 05:33:30.000000,2021-10-18 05:33:29.000000,176,44.0,124.0,1036.0,148.0,"Genetic Programming in Python, with a scikit-learn inspired API.",10.0,22,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],217.0,203.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,4029.0,4029.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +528,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30.000000,208,75.0,147.0,1002.0,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,22,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,120.0,106.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,495.0,495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +529,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2021-10-12 06:36:29.000000,2021-10-12 06:35:26.000000,209,38.0,25.0,983.0,316.0,Interpretability and explainability of data and machine learning models.,29.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,36.0,35.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,1810.0,1810.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +530,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-11-02 08:59:28.000000,2021-03-24 12:22:31.000000,189,46.0,60.0,952.0,297.0,fastFM: A Library for Factorization Machines.,20.0,22,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,97.0,89.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,1102.0,1106.0,,,,,,,,3.0,401.0,,,,,,,,,,,,,,,,,,,,, +531,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2021-10-20 12:00:24.000000,2019-05-06 07:06:50.000000,155,30.0,18.0,938.0,159.0,python toolbox for visualizing geographical data and making maps.,8.0,22,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,130.0,119.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,1108.0,1108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +532,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-07-13 12:58:06.000000,2021-07-13 12:58:06.000000,166,50.0,166.0,865.0,1032.0,Python interface to GPU-powered libraries.,45.0,22,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,213.0,143.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,956.0,956.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +533,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-11-13 17:38:08.000000,2021-11-13 17:38:07.000000,90,22.0,204.0,816.0,970.0,PyTorch Extension Library of Optimized Scatter Operations.,18.0,22,True,2021-10-22 11:01:13.000000,2.0.9,29.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-10-22 11:01:13.000000,32.0,32302.0,32302.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +534,audiomentations,iver56/audiomentations,,audio,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000000,2021-11-11 11:12:11.000000,2021-11-11 11:12:12.000000,97,23.0,66.0,778.0,532.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,18.0,22,True,2021-10-18 13:46:39.000000,0.19.0,21.0,audiomentations,,,,,89.0,89.0,https://pypi.org/project/audiomentations,2021-10-18 13:46:39.000000,,2152.0,2152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +535,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,136.0,721.0,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,16272.0,22679.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,247870.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1817.0,,,,,,,,,,,,,, +536,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-10-08 17:25:29.000000,2021-10-08 17:25:29.000000,126,35.0,66.0,721.0,190.0,"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],168.0,162.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,17539.0,17539.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +537,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-11-17 13:51:10.000000,2021-11-13 02:13:56.000000,31,70.0,142.0,700.0,2260.0,An open-source plotting library for statistical data.,16.0,22,True,2021-10-29 19:15:50.000000,2.2.0,43.0,lets-plot,,,,,12.0,12.0,https://pypi.org/project/lets-plot,2021-10-29 18:51:33.000000,0.0,2624.0,2629.0,,,,,,,,3.0,126.0,,,,,,,,,,,,,,,,,,,,, +538,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-11-15 16:46:41.000000,2021-11-15 16:46:15.000000,56,116.0,174.0,639.0,4569.0,"Experiment tracking, ML developer tools.",18.0,22,True,2021-10-12 21:28:06.000000,0.7.4,173.0,guildai,,,,,38.0,38.0,https://pypi.org/project/guildai,2021-11-15 16:45:14.000000,,5215.0,5215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +539,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2021-11-11 01:20:14.000000,2021-11-11 01:20:14.000000,56,4.0,15.0,609.0,55.0,scikit-learn cross validators for iterative stratification of multilabel data.,6.0,22,True,2021-10-03 18:49:49.000000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],186.0,172.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000000,14.0,14812.0,14812.0,,,,,,,,3.0,,3.0,,,,,,,,,,,,,,,,,,,, +540,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-10-02 13:57:54.000000,2021-10-02 13:57:52.000000,92,9.0,3.0,550.0,207.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,22,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,"['sklearn', 'xgboost']",424.0,424.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,44000.0,44000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +541,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2021-11-17 02:38:00.000000,2021-11-17 02:36:32.000000,87,6.0,31.0,536.0,106.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",10.0,22,True,2021-11-17 02:38:00.000000,0.1.22,34.0,autoviz,,,,,114.0,114.0,https://pypi.org/project/autoviz,2021-11-17 02:38:00.000000,0.0,24635.0,24635.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +542,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-11-13 22:13:04.000000,2021-11-13 22:13:02.000000,67,60.0,127.0,523.0,650.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,22,True,2021-09-08 09:32:15.000000,0.6.12,24.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2021-09-08 09:27:37.000000,34.0,18701.0,18701.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +543,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-10-05 13:00:28.000000,2021-10-05 13:00:23.000000,41,21.0,31.0,502.0,,Python 3.6+ toolbox for submitting jobs to Slurm.,16.0,22,True,2021-09-24 13:25:59.000000,1.4.0,14.0,submitit,conda-forge/submitit,,,,284.0,284.0,https://pypi.org/project/submitit,2021-09-24 13:25:59.000000,0.0,8195.0,8518.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,4855.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +544,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2021-09-29 23:50:34.000000,2021-07-28 14:49:15.000000,78,3.0,11.0,457.0,254.0,Make Waffle Charts in Python.,6.0,22,True,2021-07-28 01:11:09.000000,0.6.3,24.0,pywaffle,,,,,96.0,96.0,https://pypi.org/project/pywaffle,2021-07-28 01:11:09.000000,0.0,1933.0,1933.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +545,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,42,12.0,48.0,379.0,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,22,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,249.0,245.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,33837.0,33837.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +546,Hyperactive,SimonBlanke/Hyperactive,,hyperopt,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000000,2021-11-13 14:07:15.000000,2021-11-13 14:06:44.000000,30,7.0,28.0,313.0,1977.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,4.0,22,True,2021-10-02 11:44:37.000000,3.3.2,59.0,hyperactive,,,,,10.0,10.0,https://pypi.org/project/hyperactive,2021-10-02 11:44:37.000000,0.0,2140.0,2143.0,,,,,,,,3.0,97.0,,,,,,,,,,,,,,,,,,,,, +547,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-06-20 21:19:21.000000,2021-03-29 16:56:48.000000,130,45.0,111.0,310.0,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,22,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,2092.0,3794.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,88514.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +548,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-10-02 14:00:14.000000,2021-10-02 14:00:01.000000,35,4.0,2.0,298.0,144.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,22,False,2021-10-01 18:05:35.000000,0.0.8,9.0,suod,,,,,395.0,395.0,https://pypi.org/project/suod,2021-10-01 18:05:35.000000,,28285.0,28285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +549,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-11-17 15:06:49.000000,2021-11-17 15:06:50.000000,23,36.0,314.0,253.0,3231.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,22,False,2021-11-07 17:43:31.000000,0.8.27,126.0,static-frame,conda-forge/static-frame,,,,10.0,10.0,https://pypi.org/project/static-frame,2021-11-07 17:42:06.000000,0.0,2466.0,6265.0,https://anaconda.org/conda-forge/static-frame,2021-11-07 23:48:52.825000,125385.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +550,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-11-17 17:25:55.000000,2021-11-16 03:43:35.000000,1126,103.0,234.0,7065.0,,"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..",69.0,21,True,2021-09-30 19:00:18.000000,0.8.0a1,20.0,pyqlib,,,,['pytorch'],7.0,7.0,https://pypi.org/project/pyqlib,2021-09-30 19:01:16.000000,,3192.0,3211.0,,,,,,,,3.0,268.0,,,,,,,,,,,,,,,,,,,,, +551,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-11-17 16:37:48.000000,2021-11-17 16:01:27.000000,545,88.0,689.0,4081.0,,Predictive AI layer for existing databases.,86.0,21,False,2021-11-02 15:09:23.000000,2.57.0,75.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,8856.0,8856.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +552,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-06-13 01:13:43.000000,2021-06-13 00:22:13.000000,1455,54.0,22.0,3875.0,176.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2021-05-27 22:28:29.000000,0.1.2,13.0,deepmatcher,,,,,14.0,14.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000000,,596.0,596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +553,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-11-17 16:53:39.000000,2021-11-17 15:28:43.000000,742,71.0,781.0,3549.0,,NeMo: a toolkit for conversational AI.,117.0,21,True,2021-10-02 00:49:13.000000,1.4.0,43.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2021-10-02 00:31:33.000000,4.0,5492.0,6032.0,,,,,,,,3.0,14053.0,,,,,,,,,,,,,,,,,,,,, +554,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,334,50.0,15.0,3181.0,112.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",13.0,21,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,69.0,63.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,4184.0,4184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +555,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-10-07 14:58:03.000000,2021-10-07 14:55:28.000000,448,23.0,3.0,2769.0,678.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,21,True,2021-10-07 14:58:03.000000,0.11.11,12.0,finmarketpy,,,,,4.0,4.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000000,,180.0,180.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,,,, +556,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-11-17 18:23:30.000000,2021-10-29 18:58:36.000000,374,11.0,328.0,2590.0,558.0,On-device wake word detection powered by deep learning.,29.0,21,True,2021-04-14 16:39:57.000000,1.9.5,19.0,pvporcupine,,,,,6.0,6.0,https://pypi.org/project/pvporcupine,2021-04-14 16:39:57.000000,0.0,972.0,972.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +557,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-07-19 13:56:08.000000,2021-07-19 13:56:08.000000,203,76.0,59.0,2388.0,269.0,"Text preprocessing, representation and visualization from zero to hero.",18.0,21,True,2021-07-01 17:11:02.000000,1.1.0,10.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000000,0.0,14769.0,14773.0,,,,,,,,3.0,86.0,,,,,,,,,,,,,,,,,,,,, +558,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2021-08-25 16:02:32.000000,2020-01-07 20:53:25.000000,413,60.0,128.0,2387.0,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],40.0,38.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,943.0,1186.0,,,,,,,,3.0,11952.0,,,,,,,,,,,,,,,,,,,,, +559,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-10-27 20:48:21.000000,2021-10-27 20:47:25.000000,571,4.0,440.0,2379.0,1746.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,20.0,21,True,2021-07-29 16:59:05.000000,1.2.0,16.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,838.0,https://anaconda.org/bioconda/deepvariant,2021-07-30 23:35:30.579000,35085.0,,,,,3.0,3577.0,,,,,,,,,,,,,,,,,,,,, +560,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2021-09-16 12:01:08.000000,2020-04-02 01:05:35.000000,782,37.0,80.0,2346.0,46.0,DeepWalk - Deep Learning for Graphs.,10.0,21,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,51.0,44.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,2783.0,2783.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +561,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-11-16 10:53:15.000000,2021-11-16 10:53:15.000000,580,56.0,216.0,2295.0,1.0,A high-performance distributed training framework for Reinforcement Learning.,28.0,21,True,2021-07-08 13:09:56.000000,2.0.2,22.0,parl,,,,['paddle'],81.0,81.0,https://pypi.org/project/parl,2021-07-08 13:09:56.000000,,704.0,704.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +562,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30.000000,357,33.0,126.0,2223.0,1719.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,21,False,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],19.0,17.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +563,pytorchvideo,facebookresearch/pytorchvideo,,image,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000000,2021-11-02 09:03:48.000000,2021-11-02 09:03:46.000000,174,41.0,62.0,1934.0,,A deep learning library for video understanding research.,22.0,21,True,2021-09-14 00:17:10.000000,0.1.3,8.0,pytorchvideo,,,,['pytorch'],0.0,,https://pypi.org/project/pytorchvideo,2021-09-14 00:17:10.000000,0.0,9589.0,9589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +564,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-10-01 14:11:39.000000,2021-07-08 14:31:20.000000,180,27.0,69.0,1817.0,102.0,"Visualize and compare datasets, target values and associations, with one line of code.",6.0,21,True,2021-07-08 14:32:09.000000,2.1.3,31.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-07-08 14:32:09.000000,0.0,58368.0,58368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +565,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-11-17 06:35:11.000000,2021-11-17 06:10:15.000000,182,31.0,71.0,1589.0,,Fast and Easy Infinite Neural Networks in Python.,21.0,21,True,2021-11-17 06:35:11.000000,0.3.9,23.0,neural-tangents,,,,,26.0,26.0,https://pypi.org/project/neural-tangents,2021-11-17 06:30:38.000000,0.0,558.0,567.0,,,,,,,,3.0,159.0,,,,,,,,,,,,,,,,,,,,, +566,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2021-10-16 05:29:37.000000,2020-04-24 06:58:09.000000,216,46.0,34.0,1547.0,58.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,21,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",94.0,86.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,2082.0,2082.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +567,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-05-27 09:49:51.000000,2021-05-27 09:49:50.000000,244,35.0,354.0,1460.0,559.0,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",19.0,21,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],137.0,131.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,1435.0,1435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +568,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-11-12 19:33:57.000000,2021-11-12 19:32:28.000000,274,40.0,158.0,1396.0,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,21,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,28924.0,28924.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +569,jiant,nyu-mll/jiant,,nlp,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000000,2021-10-17 21:26:07.000000,2021-10-17 21:25:23.000000,259,62.0,484.0,1349.0,1921.0,jiant is an nlp toolkit.,56.0,21,True,2021-05-10 18:56:39.000000,2.2.0,19.0,jiant,,,,,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000000,,252.0,252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +570,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-05-01 11:58:40.000000,2021-04-13 00:55:39.000000,74,14.0,38.0,1286.0,235.0,Concurrent data pipelines in Python .,10.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,9539.0,9539.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +571,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-08-25 15:38:03.000000,2020-08-25 09:26:27.000000,259,15.0,74.0,1262.0,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,28.0,28.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,2436.0,2436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +572,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-09-07 23:58:55.000000,2020-02-04 21:10:25.000000,218,35.0,90.0,1165.0,334.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,494.0,494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +573,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-11-16 13:33:07.000000,2021-11-16 13:33:04.000000,84,3.0,18.0,1148.0,744.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,6.0,21,True,2021-08-12 07:49:51.000000,0.4.4,22.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-08-12 07:49:51.000000,2.0,9512.0,9512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +574,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-11-17 12:35:32.000000,2021-11-17 12:35:32.000000,181,39.0,61.0,1143.0,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,21.0,21,True,2021-07-10 15:12:05.000000,2.1.5,13.0,pgl,,,,['paddle'],23.0,21.0,https://pypi.org/project/pgl,2021-07-10 15:12:05.000000,2.0,732.0,732.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +575,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-11-15 11:18:19.000000,2021-11-15 09:50:11.000000,262,134.0,196.0,1120.0,,A Python package to assess and improve fairness of machine learning models.,60.0,21,True,2021-07-07 08:16:09.000000,0.7.0,16.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-07-07 05:54:23.000000,2.0,27301.0,28065.0,https://anaconda.org/conda-forge/fairlearn,2021-07-07 15:56:16.605000,16060.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +576,graph4nlp,graph4ai/graph4nlp,,graph,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000000,2021-11-17 14:52:35.000000,2021-09-27 01:47:06.000000,124,3.0,77.0,1117.0,1742.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,22.0,21,True,2021-09-30 16:52:44.000000,0.5.1-alpha,10.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2021-09-29 15:52:03.000000,,225.0,225.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +577,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-10-07 19:05:41.000000,2021-10-07 19:05:41.000000,59,36.0,35.0,1097.0,271.0,Python task queue using Redis.,23.0,21,True,2021-04-21 06:15:46.000000,0.15,25.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2021-04-16 07:36:13.000000,18.0,1887.0,1887.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +578,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2021-11-15 19:51:51.883000,2020-06-29 20:07:12.000000,163,69.0,97.0,1006.0,1101.0,Python Library for Model Interpretation/Explanations.,34.0,21,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,7897.0,8743.0,https://anaconda.org/conda-forge/skater,2021-11-15 19:51:51.883000,44845.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +579,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,194,31.0,12.0,980.0,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,72.0,44.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,40812.0,40812.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +580,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,167,174.0,233.0,952.0,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,False,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],74.0,58.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,549.0,549.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +581,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-11-08 12:23:05.000000,2021-11-08 12:23:03.000000,123,15.0,310.0,952.0,594.0,moDel Agnostic Language for Exploration and eXplanation.,20.0,21,False,2021-11-08 12:22:11.000000,1.4.1,23.0,dalex,,,,,22.0,22.0,https://pypi.org/project/dalex,2021-11-08 12:22:11.000000,0.0,9335.0,9335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +582,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-10-07 20:00:33.000000,2021-10-07 18:04:56.000000,237,47.0,103.0,945.0,182.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,11.0,21,True,2021-10-07 20:00:33.000000,0.8.8,28.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2021-10-07 20:00:33.000000,2.0,5279.0,18032.0,,,,,,,,3.0,178548.0,,,,,,,,,,,,,,,,,,,,, +583,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-11-17 14:52:35.000000,2021-11-09 04:00:27.000000,146,16.0,84.0,935.0,,Training PyTorch models with differential privacy.,34.0,21,True,2021-06-23 16:51:56.000000,0.14.0,9.0,opacus,,,,['pytorch'],60.0,60.0,https://pypi.org/project/opacus,2021-06-23 16:51:56.000000,0.0,4535.0,4537.0,,,,,,,,2.0,40.0,,,,,,,,,,,,,,,,,,,,, +584,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-10-29 14:44:11.000000,2021-10-29 14:44:08.000000,239,22.0,126.0,878.0,205.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,400.0,400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +585,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-11-08 12:03:45.000000,2021-11-08 12:03:42.000000,87,37.0,49.0,878.0,203.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,15.0,21,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],94.0,92.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1572.0,1572.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +586,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,131,7.0,3.0,825.0,79.0,Nudity detection with Python.,12.0,21,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,1185.0,1167.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,7924.0,7924.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +587,Labml,labmlai/labml,,ml-experiments,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000000,2021-09-06 14:08:38.000000,2021-09-06 14:08:28.000000,57,14.0,10.0,811.0,1139.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,21,True,2021-08-31 06:09:27.000000,0.4.134,111.0,labml,,,,,38.0,38.0,https://pypi.org/project/labml,2021-08-31 06:09:27.000000,0.0,967.0,967.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +588,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-11-17 03:20:41.000000,2021-11-16 07:21:59.000000,221,343.0,404.0,771.0,,Python package for earth-observing satellite data processing.,119.0,21,False,2021-11-04 02:13:11.000000,0.31.0,71.0,satpy,conda-forge/satpy,,,,56.0,50.0,https://pypi.org/project/satpy,2021-11-04 02:13:11.000000,6.0,4727.0,6672.0,https://anaconda.org/conda-forge/satpy,2021-11-04 12:10:43.980000,77825.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +589,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-11-12 09:06:18.000000,2021-09-07 23:59:43.000000,97,27.0,33.0,736.0,386.0,PFRL: a PyTorch-based deep reinforcement learning library.,15.0,21,True,2021-07-07 02:43:23.000000,0.3.0,5.0,pfrl,,,,,27.0,27.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000000,0.0,2551.0,2551.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +590,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2021-09-26 01:44:54.000000,2018-10-21 17:54:28.000000,141,24.0,38.0,692.0,159.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",18.0,21,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,74.0,58.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,1222.0,1222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +591,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,133,24.0,4.0,684.0,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,21,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],189.0,171.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,223404.0,223404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +592,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-09-20 23:54:26.000000,2021-09-20 23:54:26.000000,56,40.0,56.0,662.0,414.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,22.0,21,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],17.0,17.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,6543.0,6543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +593,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-09-30 19:30:10.000000,2021-09-30 19:30:07.000000,74,32.0,200.0,646.0,,Extra blocks for scikit-learn pipelines.,47.0,21,True,2021-07-03 12:36:43.000000,0.6.8,34.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],37.0,37.0,https://pypi.org/project/scikit-lego,2021-07-03 12:38:43.000000,0.0,23603.0,24235.0,https://anaconda.org/conda-forge/scikit-lego,2021-07-03 14:39:23.330000,15810.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +594,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-11-17 16:21:19.000000,2021-11-15 15:12:28.000000,30,12.0,20.0,626.0,363.0,Easy pipelines for pandas DataFrames.,9.0,21,True,2021-11-15 15:25:17.000000,0.0.67,63.0,pdpipe,,,,['pandas'],36.0,36.0,https://pypi.org/project/pdpipe,2021-11-15 15:24:31.000000,0.0,2271.0,2271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +595,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-11-15 17:46:29.000000,2019-10-21 07:52:07.000000,51,11.0,15.0,618.0,46.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,35580.0,35580.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +596,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-11-01 11:53:58.000000,2021-09-02 00:18:32.000000,61,9.0,35.0,590.0,266.0,Audio processing by using pytorch 1D convolution network.,13.0,21,True,2021-09-02 05:01:16.000000,0.2.6,36.0,nnAudio,,,,,35.0,35.0,https://pypi.org/project/nnAudio,2021-09-02 05:01:16.000000,0.0,1589.0,1589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +597,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,107,57.0,35.0,498.0,187.0,a distributed Hyperband implementation on Steroids.,11.0,21,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,194.0,178.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,43763.0,43763.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +598,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,105,5.0,28.0,480.0,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,21,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],90.0,86.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,16686.0,16686.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +599,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-11-13 01:20:58.000000,2021-11-01 21:10:39.000000,51,142.0,180.0,478.0,1593.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-10-17 21:12:29.000000,0.6.1,22.0,neuraxle,,,,,24.0,24.0,https://pypi.org/project/neuraxle,2021-10-17 21:07:02.000000,0.0,331.0,331.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +600,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,60,17.0,39.0,452.0,32.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,21,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],238.0,204.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,15606.0,15606.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +601,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-11-13 22:11:52.000000,2021-11-13 22:11:50.000000,82,37.0,81.0,436.0,561.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,19.0,21,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,10405.0,10405.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +602,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57.000000,69,23.0,5.0,418.0,247.0,machine learning with logical rules in Python.,18.0,21,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],60.0,54.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,63087.0,63087.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +603,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,47.0,48.0,377.0,782.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,90.0,66.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,15146.0,15146.0,,,,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,,,, +604,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-09-14 22:55:51.000000,2021-09-14 22:26:21.000000,52,57.0,195.0,374.0,2409.0,Studio: Simplify and expedite model building process.,21.0,21,True,2021-09-14 22:55:51.000000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000000,,578.0,578.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +605,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,111,11.0,67.0,374.0,324.0,Medical image processing in Python.,13.0,21,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,455.0,425.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,8807.0,8807.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +606,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,35,8.0,5.0,370.0,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],767.0,677.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,39967.0,39967.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +607,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,333.0,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,21,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],133.0,121.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,93039.0,93039.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +608,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-10-17 18:15:40.000000,2021-10-17 18:09:37.000000,28,8.0,29.0,317.0,533.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",6.0,21,True,2021-10-17 18:15:40.000000,0.5.7,19.0,sklearn-evaluation,,,,['sklearn'],34.0,32.0,https://pypi.org/project/sklearn-evaluation,2021-10-17 18:15:40.000000,2.0,1260.0,1260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +609,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-11-10 23:46:01.000000,2021-10-11 19:46:23.000000,123,16.0,207.0,301.0,,A package built to support working with spatial data using open source python.,40.0,21,True,2021-10-01 22:51:04.000000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,117.0,111.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000000,6.0,4650.0,5911.0,https://anaconda.org/conda-forge/earthpy,2021-10-04 19:35:49.510000,39099.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +610,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04.000000,43,27.0,37.0,296.0,292.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,123.0,119.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,2247.0,2247.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +611,huggingface_hub,huggingface/huggingface_hub,,model-serialisation,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000000,2021-11-17 08:43:25.000000,2021-11-15 19:28:20.000000,54,79.0,75.0,273.0,,All the open source things related to the Hugging Face Hub.,43.0,21,False,2021-11-09 17:46:10.000000,0.1.2,23.0,huggingface_hub,conda-forge/huggingface_hub,,,,0.0,,https://pypi.org/project/huggingface_hub,2021-11-08 19:04:18.000000,0.0,2414345.0,2416467.0,https://anaconda.org/conda-forge/huggingface_hub,2021-11-08 23:35:46.748000,19105.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +612,dbnd,databand-ai/dbnd,,data-pipelines,https://github.com/databand-ai/dbnd,https://github.com/databand-ai/dbnd,Apache-2.0,2020-01-02 10:42:47.000000,2021-11-16 13:32:45.000000,2021-11-16 09:42:20.000000,19,2.0,2.0,203.0,22.0,DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.,13.0,21,False,2021-11-16 13:29:06.000000,0.53.5,229.0,dbnd,,,,,25.0,25.0,https://pypi.org/project/dbnd,2021-11-16 13:29:06.000000,0.0,113304.0,113304.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +613,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,49,2.0,,71.0,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,21,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,4647.0,4427.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,697515.0,697515.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +614,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5590.0,146.0,Audio fingerprinting and recognition in Python.,23.0,20,False,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,21.0,18.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,113.0,113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +615,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-11-09 06:14:50.000000,2021-11-09 00:38:48.000000,773,41.0,613.0,4514.0,3296.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,63.0,20,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,35.0,,,,,,,,3.0,1382.0,,,,,,,,,,,,,,,,,,,,, +616,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-11-17 18:31:32.000000,2021-11-17 18:31:10.000000,561,643.0,3534.0,4300.0,,cuDF - GPU DataFrame Library.,225.0,20,True,2021-10-12 20:19:08.000000,21.10.01,19.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,1079.0,1079.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +617,AugLy,facebookresearch/AugLy,,others,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000000,2021-11-17 02:47:34.000000,2021-10-26 13:20:09.000000,196,20.0,38.0,3940.0,,"A data augmentations library for audio, image, text, and video.",13.0,20,True,2021-10-18 20:48:05.000000,0.1.10,15.0,augly,,,,,18.0,18.0,https://pypi.org/project/augly,2021-10-18 18:20:59.000000,0.0,1853.0,1853.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +618,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-11-17 12:59:04.000000,2021-11-15 02:22:59.000000,1073,347.0,635.0,3657.0,7841.0,An Industrial Grade Federated Learning Framework.,65.0,20,True,2021-09-14 09:45:57.000000,1.6.1,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +619,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-10-27 14:34:38.000000,2021-10-27 14:34:36.000000,394,55.0,119.0,2946.0,,Generate embeddings from large-scale graph-structured data.,24.0,20,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,1186.0,1189.0,,,,,,,,3.0,122.0,,,,,,,,,,,,,,,,,,,,, +620,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2877.0,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],133.0,121.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,1107.0,1107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +621,Coqui TTS,coqui-ai/TTS,,audio,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000000,2021-11-17 11:46:25.000000,2021-10-29 16:20:51.000000,211,20.0,148.0,2794.0,,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",79.0,20,True,2021-10-26 17:55:11.000000,0.4.1,19.0,tts,,,,"['pytorch', 'tensorflow']",,,https://pypi.org/project/tts,2017-07-14 20:02:42.000000,,2900.0,7489.0,,,,,,,,3.0,36712.0,,,,,,,,,,,,,,,,,,,,, +622,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-09-12 08:32:45.000000,2021-09-12 08:29:06.000000,437,21.0,112.0,2759.0,954.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,37.0,20,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,338.0,338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +623,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,1.0,60.0,2665.0,1467.0,"Python clone of Spark, a MapReduce alike framework in Python.",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +624,image-match,ProvenanceLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-09-21 13:07:59.000000,2021-09-21 13:07:59.000000,380,56.0,48.0,2651.0,405.0,Quickly search over billions of images.,19.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,980.0,980.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +625,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-11-09 01:45:50.000000,2021-11-04 18:52:02.000000,322,84.0,257.0,2622.0,1900.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,True,2021-11-04 19:07:51.000000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +626,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000000,2021-11-17 00:07:37.000000,2021-11-08 16:11:39.000000,234,34.0,47.0,2432.0,814.0,"The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification...",6.0,20,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,,23.0,23.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,0.0,4708.0,4708.0,,,,,,,,3.0,,,,,,,,,,,cleanlab/cleanlab,,,,,,,,,,, +627,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16.000000,418,35.0,323.0,2221.0,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,20,True,2021-07-04 10:44:36.000000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],50.0,48.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +628,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-11-05 18:07:40.000000,2021-11-05 17:54:23.000000,105,10.0,61.0,2212.0,,HiPlot makes understanding high dimensional data easy.,7.0,20,True,2021-11-04 14:37:14.000000,0.1.32,94.0,hiplot,conda-forge/hiplot,,,,3.0,3.0,https://pypi.org/project/hiplot,2021-11-05 18:07:40.000000,0.0,11826.0,15212.0,https://anaconda.org/conda-forge/hiplot,2021-11-05 06:41:13.441000,71123.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +629,vissl,facebookresearch/vissl,,image,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000000,2021-11-08 16:02:46.000000,2021-11-08 16:02:43.000000,207,44.0,83.0,2169.0,,"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",30.0,20,True,2021-11-02 17:21:02.000000,0.1.6,6.0,vissl,,,,['pytorch'],3.0,3.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000000,0.0,256.0,256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +630,lightseq,bytedance/lightseq,,nlp,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000000,2021-11-17 08:36:24.000000,2021-11-03 02:48:52.000000,181,58.0,62.0,1804.0,174.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,6.0,20,True,2021-10-26 10:02:56.000000,2.2.0,17.0,lightseq,,,,,,,https://pypi.org/project/lightseq,2021-11-03 03:23:02.000000,,941.0,963.0,,,,,,,,3.0,520.0,,,,,,,,,,,,,,,,,,,,, +631,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-11-17 18:10:58.000000,2021-11-15 10:46:09.000000,102,110.0,135.0,1681.0,,Aim an easy-to-use and performant open-source experiment tracker.,20.0,20,True,2019-11-06 08:06:11.000000,3.1.0,98.0,aim,,,,,42.0,40.0,https://pypi.org/project/aim,2021-10-21 16:37:14.000000,2.0,24499.0,24499.0,,,,,,,,3.0,,3.0,,,,,,,,,,,,,,,,,,,, +632,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,297,185.0,216.0,1556.0,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,20,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,2864.0,2864.0,,,,,,,,3.0,38.0,,,,,,,,,,,,,,,,,,,,, +633,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-05-26 18:44:09.000000,2020-05-11 22:26:45.000000,122,16.0,18.0,1535.0,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,20,False,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,1046.0,1046.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +634,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-11-15 11:50:33.000000,2021-11-11 16:28:39.000000,114,33.0,91.0,1476.0,,JAX-based neural network library.,52.0,20,True,2021-11-01 13:18:04.000000,0.0.5,7.0,,,,,,246.0,246.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +635,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-11-08 22:20:35.000000,2020-12-17 06:57:15.000000,292,5.0,74.0,1469.0,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,28.0,463.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13061.0,3.0,,,,,,,,,,,,,,,,,,,,,, +636,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-08-25 14:45:13.000000,2021-04-01 12:34:50.000000,362,37.0,72.0,1423.0,298.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,20,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],32.0,27.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,760.0,760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +637,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-11-09 21:48:06.000000,2021-10-07 06:07:46.000000,235,53.0,61.0,1369.0,,An end-to-end PyTorch framework for image and video classification.,66.0,20,True,2021-07-19 20:08:51.000000,0.6.0,17.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2021-07-09 22:58:06.000000,0.0,3396.0,3862.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,10260.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +638,greykite,linkedin/greykite,,time-series-data,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000000,2021-10-18 23:45:08.000000,2021-10-18 23:45:08.000000,59,11.0,46.0,1340.0,15.0,"A flexible, intuitive and fast forecasting library.",7.0,20,True,2021-07-01 19:41:38.000000,0.2.0,6.0,greykite,,,,,7.0,7.0,https://pypi.org/project/greykite,2021-07-01 19:41:38.000000,,20766.0,20766.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +639,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-08-25 14:40:15.000000,2019-01-21 14:01:28.000000,389,11.0,24.0,1284.0,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],21.0,21.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,264.0,264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +640,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-11-02 18:37:17.000000,2021-11-02 18:37:17.000000,152,2.0,63.0,1154.0,1790.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,12.0,20,True,2021-09-11 12:03:52.000000,_00041,39.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-09-11 12:02:32.000000,,972.0,972.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +641,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-10-01 22:03:27.000000,2021-10-01 22:03:26.000000,84,8.0,31.0,1140.0,283.0,Lightweight Python library for adding real-time object tracking to any detector.,9.0,20,True,2021-07-29 15:49:06.000000,0.3.1,12.0,norfair,,,,,0.0,,https://pypi.org/project/norfair,2021-07-29 15:49:06.000000,0.0,2904.0,2904.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +642,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,186,16.0,42.0,994.0,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],46.0,42.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,152.0,152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +643,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-11-09 18:31:01.000000,2021-10-29 20:11:00.000000,150,32.0,88.0,950.0,,A framework for Privacy Preserving Machine Learning.,25.0,20,True,2021-09-09 15:15:11.000000,0.4.0,2.0,crypten,,,,['pytorch'],12.0,12.0,https://pypi.org/project/crypten,2021-09-09 15:15:11.000000,,436.0,436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +644,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-10-06 00:53:48.000000,2021-09-28 02:59:00.000000,69,10.0,13.0,935.0,266.0,Python library for building highly effective data science workflows.,12.0,20,True,2021-10-06 00:53:48.000000,0.2.5,21.0,d6tflow,,,,,17.0,17.0,https://pypi.org/project/d6tflow,2021-10-06 00:53:48.000000,,243.0,243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +645,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,57,28.0,23.0,774.0,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,177.0,165.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,26340.0,26340.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +646,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-11-16 04:19:54.000000,2021-11-16 04:19:53.000000,53,44.0,246.0,719.0,684.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,14.0,20,True,2021-08-30 17:57:34.000000,1.0.17,15.0,orbit-ml,,,,,5.0,5.0,https://pypi.org/project/orbit-ml,2021-08-30 17:58:36.000000,0.0,2358.0,2358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +647,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,91,10.0,73.0,705.0,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,168.0,165.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,3356.0,3356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +648,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-11-05 17:47:56.000000,2021-11-05 17:47:51.000000,54,11.0,8.0,704.0,133.0,A library of reinforcement learning building blocks in JAX.,16.0,20,True,2021-07-08 18:31:19.000000,0.0.4,4.0,rlax,,,,['jax'],31.0,31.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,2107.0,2107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +649,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-10-14 18:44:27.000000,2020-03-17 22:44:47.000000,65,25.0,21.0,702.0,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,20,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,14628.0,14628.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,, +650,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-11-17 00:47:48.000000,2021-11-14 15:53:27.000000,64,31.0,177.0,696.0,,BAyesian Model-Building Interface (Bambi) in Python.,21.0,20,True,2021-09-17 11:44:34.000000,0.6.3,17.0,bambi,,,,,17.0,14.0,https://pypi.org/project/bambi,2021-09-17 11:44:34.000000,3.0,1135.0,1135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +651,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-11-16 16:12:42.000000,2021-11-16 16:12:42.000000,88,46.0,49.0,695.0,452.0,Generate Diverse Counterfactual Explanations for any machine learning model.,12.0,20,True,2021-09-27 06:59:57.000000,0.7.2,8.0,dice-ml,,,,"['tensorflow', 'pytorch']",0.0,,https://pypi.org/project/dice-ml,2021-09-27 06:59:57.000000,0.0,19524.0,19524.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +652,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2021-07-30 15:13:54.000000,2021-07-30 15:06:27.000000,114,21.0,34.0,662.0,104.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,22.0,20,True,2021-07-30 15:13:54.000000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],31.0,29.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000000,2.0,1936.0,1936.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +653,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-11-16 17:09:14.000000,2021-11-15 22:34:39.000000,30,10.0,14.0,604.0,207.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",3.0,20,True,2021-09-27 20:15:04.000000,0.1.3,36.0,tensor-sensor,,,,['pytorch'],7.0,7.0,https://pypi.org/project/tensor-sensor,2021-09-27 20:15:04.000000,,1481.0,1481.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +654,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-11-01 12:13:56.000000,2021-11-01 12:13:55.000000,116,55.0,46.0,602.0,324.0,Source code/webpage/demos for the What-If Tool.,20.0,20,True,2021-10-12 17:42:50.869000,1.8.1,40.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000000,0.0,6949.0,10918.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869000,,3969.0,,,,,,,,,,,,,, +655,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-11-17 18:16:13.000000,2021-11-16 10:10:38.000000,83,106.0,198.0,588.0,2482.0,A Python library for learning and evaluating knowledge graph embeddings.,23.0,20,True,2021-10-18 09:50:50.000000,1.6.0,37.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-10-18 09:48:18.000000,2.0,841.0,846.0,,,,,,,,3.0,92.0,,,,,,,,,,,,,,,,,,,,, +656,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2021-11-11 17:50:26.000000,2021-11-11 17:50:26.000000,134,33.0,48.0,587.0,553.0,Public facing deeplift repo.,11.0,20,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,56.0,52.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,686.0,686.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +657,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-10-13 21:04:50.000000,2021-10-13 21:05:33.000000,101,2.0,13.0,570.0,5078.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,20,True,2021-10-13 21:04:12.000000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000000,0.0,4383.0,4384.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,, +658,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-11-17 18:29:22.000000,2021-11-09 22:44:59.000000,54,7.0,38.0,506.0,614.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-10-30 18:41:03.000000,1.7,24.0,poutyne,,,,['pytorch'],74.0,70.0,https://pypi.org/project/poutyne,2021-10-30 18:41:31.000000,4.0,5889.0,5889.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +659,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,159,39.0,60.0,503.0,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,30.0,22.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,185.0,185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +660,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-07-13 10:19:56.000000,2021-05-27 09:45:10.000000,79,37.0,21.0,428.0,857.0,Bias and Fairness Audit Toolkit.,16.0,20,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,91.0,85.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,1981.0,1981.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +661,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,87,35.0,8.0,404.0,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,25.0,23.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,16575.0,16575.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +662,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-10-10 00:13:26.000000,2021-10-10 00:13:26.000000,73,14.0,127.0,358.0,273.0,A Python library for dynamic classifier and ensemble selection.,13.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],22.0,22.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,1295.0,1295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +663,joypy,leotac/joypy,,data-viz,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000000,2021-07-27 16:03:44.000000,2021-06-13 10:07:43.000000,41,9.0,36.0,351.0,111.0,Joyplots in Python with matplotlib & pandas.,5.0,20,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,112.0,106.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,23113.0,23481.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,11777.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +664,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,79,22.0,17.0,345.0,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,20,False,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,25.0,25.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,17615.0,17615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +665,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-05-18 21:20:09.000000,2021-02-15 17:10:59.000000,60,13.0,19.0,334.0,283.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,20,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],62.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,2120.0,2120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +666,responsible-ai-widgets,microsoft/responsible-ai-widgets,,interpretability,https://github.com/microsoft/responsible-ai-widgets,https://github.com/microsoft/responsible-ai-widgets,MIT,2020-07-06 20:46:53.000000,2021-11-17 17:33:21.000000,2021-11-17 04:55:49.000000,73,76.0,140.0,325.0,,"This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well..",23.0,20,True,2021-11-11 22:06:58.000000,0.14.0,28.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",18.0,18.0,https://pypi.org/project/raiwidgets,2021-11-11 19:25:04.000000,0.0,4957.0,4957.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +667,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2021-10-27 14:22:31.000000,2021-10-27 14:16:34.000000,74,6.0,10.0,313.0,237.0,A library of metrics for evaluating recommender systems.,13.0,20,True,2021-09-24 21:30:26.000000,0.1.0,15.0,recmetrics,,,,,20.0,20.0,https://pypi.org/project/recmetrics,2021-09-24 21:30:26.000000,,899.0,899.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +668,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-10-01 15:05:45.000000,2021-08-03 00:21:54.000000,38,12.0,4.0,313.0,60.0,Topological Data Analysis for Python.,3.0,20,True,2021-08-03 00:23:20.000000,1.0.0,4.0,scikit-tda,,,,['sklearn'],21.0,21.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000000,,5202.0,5202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +669,TSFEL,fraunhoferportugal/tsfel,,time-series-data,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000000,2021-09-19 18:16:30.000000,2021-09-10 15:56:34.000000,41,10.0,36.0,309.0,273.0,An intuitive library to extract features from time series.,11.0,20,True,2021-02-14 17:48:46.000000,0.1.4,8.0,tsfel,,,,,25.0,25.0,https://pypi.org/project/tsfel,2021-02-14 17:40:32.000000,,3822.0,3822.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,True, +670,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,35,17.0,9.0,295.0,110.0,pyspark methods to enhance developer productivity.,6.0,20,False,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,468600.0,468600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +671,chefboost,serengil/chefboost,,ml-frameworks,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000000,2021-11-03 06:31:33.000000,2021-11-03 06:31:33.000000,74,2.0,15.0,282.0,327.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..",5.0,20,False,2021-06-28 19:23:52.000000,0.0.13,13.0,chefboost,,,,,15.0,15.0,https://pypi.org/project/chefboost,2021-06-28 19:23:52.000000,,504.0,504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +672,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,230.0,153.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,206.0,193.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,4620.0,4626.0,,,,,,,,3.0,343.0,,,,,,,,,,,,,,,,,,,,, +673,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2021-11-15 19:51:57.895000,2021-10-31 08:28:12.000000,62,26.0,107.0,230.0,619.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",19.0,20,False,2021-10-31 08:33:47.000000,1.7.6,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,1061.0,2178.0,https://anaconda.org/conda-forge/somoclu,2021-11-15 19:51:57.895000,56094.0,,,,,3.0,1534.0,,,,,,,,,,,,,,,,,,,,, +674,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-09-11 16:12:49.000000,2021-09-11 16:12:49.000000,22,4.0,38.0,225.0,463.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,20,False,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,45125.0,45125.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,,,, +675,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-11-17 15:50:54.000000,2021-11-17 15:50:53.000000,52,42.0,77.0,181.0,359.0,An open-source toolkit for large-scale genomic analysis.,17.0,20,False,2021-10-30 01:16:11.000000,1.1.1,13.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-10-30 01:03:44.000000,,40596.0,40596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +676,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-11-16 14:50:51.000000,2021-09-23 08:42:12.000000,1988,157.0,483.0,11633.0,,Best Practices on Recommendation Systems.,101.0,19,True,2021-09-23 18:03:12.000000,0.7.0,9.0,,,,,,5.0,5.0,,,,,1.0,,,,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,,,, +677,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,759,7.0,118.0,5036.0,47.0,Build Graph Nets in Tensorflow.,10.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,1134.0,1134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +678,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-11-17 18:12:53.000000,2021-11-17 13:38:48.000000,1278,707.0,1887.0,4906.0,,Object detection and instance segmentation toolkit based on PaddlePaddle.,73.0,19,True,2021-08-17 09:24:50.000000,2.2.0,4.0,,,,,['paddle'],6.0,6.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +679,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-11-17 06:14:18.000000,2021-11-17 06:13:22.000000,776,189.0,416.0,4667.0,,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,86.0,19,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],9.0,9.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,514.0,514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +680,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,832,90.0,306.0,3854.0,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,19,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,139.0,143.0,,,,,,,,3.0,317.0,-4.0,,,,,,,,,,,,,,,,,,,, +681,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-10-19 20:21:49.000000,2021-06-28 16:44:17.000000,993,54.0,198.0,3608.0,564.0,"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks.",28.0,19,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,2796.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,139841.0,3.0,,,,,,,,,,,,,,,,,,,,,, +682,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-10-12 17:02:08.000000,2021-10-12 16:17:49.000000,419,100.0,155.0,3007.0,427.0,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000000,,189.0,229.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1187.0,3.0,,,,,,,,,,,,,,,,,,,,,, +683,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-11-15 14:17:10.000000,2021-11-15 13:59:22.000000,391,17.0,18.0,2877.0,819.0,High-performance TensorFlow library for quantitative finance.,36.0,19,True,,,25.0,tf-quant-finance,,,,['tensorflow'],0.0,,https://pypi.org/project/tf-quant-finance,2021-11-15 14:17:10.000000,0.0,480.0,480.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +684,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-10-09 10:13:28.000000,2021-08-10 09:12:48.000000,669,40.0,46.0,2384.0,2360.0,a distributed deep learning platform.,76.0,19,True,2020-04-21 08:01:08.000000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,8.0,https://anaconda.org/nusdbsystem/singa,2021-08-09 13:10:26.397000,364.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,4.0,203.0,3.0,,,,,,,,,,,,,,,,,,,,,, +685,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-08-21 06:45:37.000000,2021-06-28 07:40:53.000000,407,87.0,183.0,2077.0,521.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,35.0,19,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,190.0,190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +686,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,339,3.0,18.0,1964.0,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,402.0,402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +687,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-10-15 10:47:14.000000,2021-10-14 09:35:40.000000,402,44.0,224.0,1878.0,245.0,Backtest trading strategies in Python.,15.0,19,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,13074.0,13074.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +688,fast-bert,utterworks/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-09-23 12:14:23.000000,2021-08-31 13:59:28.000000,324,147.0,94.0,1674.0,,Super easy library for BERT based NLP models.,35.0,19,True,2021-05-23 14:35:28.000000,1.9.9,43.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-05-23 14:35:28.000000,2.0,1600.0,1600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +689,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,180,56.0,146.0,1348.0,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,19,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,566.0,604.0,,,,,,,,3.0,2281.0,,,,,,,,,,,,,,,,,,,,, +690,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,101,14.0,9.0,1250.0,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,49.0,49.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,402.0,402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +691,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-08-26 22:02:01.000000,2021-07-30 15:59:28.000000,153,15.0,33.0,955.0,273.0,A Toolbox for Adversarial Robustness Research.,18.0,19,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],61.0,55.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,721.0,721.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +692,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-10-28 09:18:45.000000,2021-10-02 08:17:09.000000,184,37.0,188.0,874.0,405.0,Line based ATR Engine based on OCRopy.,19.0,19,True,2021-10-02 07:50:30.000000,2.1.4,30.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,962.0,962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +693,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-05-19 17:32:27.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,855.0,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,19,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,38.0,26.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,288.0,288.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +694,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-11-06 00:02:46.000000,2021-10-25 04:48:23.000000,81,7.0,75.0,816.0,132.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,12.0,19,True,2021-04-14 00:31:14.000000,1.13.7,50.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,15701.0,15701.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +695,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-08-04 16:00:40.000000,2021-04-07 06:12:17.000000,271,53.0,86.0,785.0,,"Machine learning, statistics, and data mining for astronomy and astrophysics.",30.0,19,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1246.0,1762.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,26337.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +696,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,178,17.0,22.0,772.0,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,False,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,2203.0,2203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +697,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2021-08-25 14:58:55.000000,2019-11-15 21:43:53.000000,157,51.0,43.0,763.0,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,18187.0,18187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +698,pytorch2keras,gmalivenko/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-09-28 21:39:06.000000,2021-08-06 08:18:46.000000,127,49.0,67.0,752.0,282.0,PyTorch to Keras model convertor.,13.0,19,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,25.0,24.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,752.0,752.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +699,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-11-07 01:03:14.000000,2021-11-07 01:02:14.000000,101,27.0,41.0,740.0,,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,True,2021-11-07 01:03:14.000000,1.1.3,79.0,performer-pytorch,,,,['pytorch'],33.0,33.0,https://pypi.org/project/performer-pytorch,2021-11-07 01:03:14.000000,0.0,1417.0,1417.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +700,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12.000000,112,1.0,7.0,729.0,91.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,True,2021-10-30 06:35:19.000000,0.1.0,6.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000000,6.0,306.0,306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +701,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,93,19.0,34.0,663.0,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,17.0,17.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,1259.0,1259.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +702,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-11-17 13:02:17.000000,2021-10-20 16:42:08.000000,69,22.0,115.0,655.0,1201.0,Scikit-learn style model finetuning for NLP.,19.0,19,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,"['tensorflow', 'sklearn']",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +703,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,74,,38.0,640.0,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,171.0,163.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,4590.0,4590.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +704,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,68,8.0,237.0,614.0,430.0,torchbearer: A model fitting library for PyTorch.,13.0,19,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],60.0,54.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,898.0,898.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +705,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2021-07-31 04:54:26.000000,2020-07-03 18:01:17.000000,196,32.0,18.0,605.0,397.0,An open source python library for scalable Bayesian optimisation.,12.0,19,False,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,58598.0,58598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +706,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-11-04 20:09:22.632000,2021-04-11 07:50:00.000000,29,6.0,14.0,585.0,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,True,2020-11-15 13:40:18.000000,0.4.2,8.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,335.0,34950.0,https://anaconda.org/conda-forge/cython-blis,2021-11-04 20:09:22.632000,1107680.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +707,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,52,5.0,23.0,480.0,268.0,Python module for machine learning time series:.,13.0,19,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,12.0,11.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,1413.0,1413.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +708,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-10-28 23:04:52.000000,2021-10-28 23:04:46.000000,35,5.0,18.0,375.0,171.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,19,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,21.0,21.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,351.0,351.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,,, +709,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-11-16 08:14:54.000000,2021-11-15 23:44:24.000000,28,2.0,14.0,309.0,463.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",5.0,19,True,2021-11-15 21:34:37.000000,1.1.3,15.0,imodels,,,,,9.0,9.0,https://pypi.org/project/imodels,2021-11-15 21:27:44.000000,,994.0,994.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +710,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-07-25 14:31:54.000000,2021-07-25 14:30:59.000000,69,4.0,14.0,307.0,292.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,19,True,2021-05-17 02:25:55.000000,0.1.682,132.0,autoviml,,,,,15.0,15.0,https://pypi.org/project/autoviml,2021-07-25 14:31:54.000000,0.0,1734.0,1734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +711,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53.000000,22,24.0,25.0,294.0,371.0,Textpipe: clean and extract metadata from text.,28.0,19,False,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,1553.0,1553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +712,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,60,24.0,17.0,281.0,153.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,3731.0,3731.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,, +713,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-07-07 00:44:10.000000,2021-07-07 00:44:07.000000,47,7.0,10.0,270.0,58.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,19,False,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",10.0,8.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,45808.0,45808.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +714,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-05-28 01:21:58.000000,2021-05-28 01:21:58.000000,123,72.0,122.0,257.0,393.0,Brain Imaging Analysis Kit.,33.0,19,False,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,16.0,15.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,250.0,259.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,673.0,3.0,,,,,,,,,,,,,,,,,,,,,, +715,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-11-08 17:08:45.000000,2021-11-08 17:08:42.000000,26,3.0,50.0,249.0,611.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,False,2021-10-17 09:48:21.000000,2.06,32.0,ivis,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/ivis,2021-10-17 09:46:36.000000,0.0,671.0,671.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +716,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-11-12 23:53:35.000000,2021-11-12 23:22:02.000000,65,12.0,8.0,237.0,278.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,25.0,19,False,2021-11-12 23:53:35.000000,0.35.0,21.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2021-11-12 23:53:35.000000,,1035.0,1035.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +717,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-11-16 18:51:23.000000,2021-11-16 18:51:18.000000,36,15.0,2.0,237.0,157.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,11.0,19,False,2021-09-02 22:08:38.000000,1.1.0,6.0,model-card-toolkit,,,,,5.0,5.0,https://pypi.org/project/model-card-toolkit,2021-09-02 22:06:45.000000,,360.0,360.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +718,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-11-16 10:27:07.000000,2021-11-16 10:27:07.000000,38,14.0,51.0,225.0,449.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",29.0,19,False,2021-10-15 10:18:50.000000,1.0.6,61.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,729.0,729.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +719,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-11-04 09:30:27.570000,2021-02-18 14:46:18.000000,34,34.0,40.0,218.0,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,19,False,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,206.0,1061.0,https://anaconda.org/conda-forge/fletcher,2021-11-04 09:30:27.570000,34203.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,,, +720,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-11-15 18:12:18.000000,2021-10-18 21:23:39.000000,61,2.0,27.0,215.0,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,11.0,19,False,2021-10-18 21:07:53.000000,2.7.2,51.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-10-18 21:07:53.000000,6.0,58232.0,58992.0,https://anaconda.org/conda-forge/pymap3d,2021-10-19 05:47:09.404000,15217.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +721,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-11-12 22:44:06.000000,2021-11-12 22:44:05.000000,15,73.0,73.0,184.0,560.0,Functional tensors for probabilistic programming.,9.0,19,False,2021-07-02 04:10:35.000000,0.4.1,7.0,funsor,,,,['pytorch'],19.0,19.0,https://pypi.org/project/funsor,2021-07-02 04:09:26.000000,0.0,1006.0,1006.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +722,textaugment,dsfsi/textaugment,,nlp,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000000,2021-09-15 07:35:53.000000,2021-09-15 07:35:53.000000,31,10.0,13.0,184.0,60.0,TextAugment: Text Augmentation Library.,5.0,19,False,2020-11-05 15:04:26.000000,1.3.4,8.0,textaugment,,,,,12.0,12.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000000,,2901.0,2902.0,,,,,,,,3.0,53.0,,,,,,,,,,,,,,,,,,,,, +723,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-11-15 12:26:36.000000,2021-11-15 12:19:59.000000,37,40.0,67.0,167.0,4868.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,19,False,2021-06-10 10:54:52.000000,0.5.0,7.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-06-10 10:54:52.000000,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +724,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-11-05 17:01:59.000000,2021-11-05 17:01:56.000000,12,3.0,9.0,167.0,195.0,Fluent data pipelines for python and your shell.,6.0,19,False,2021-10-15 12:35:59.000000,1.1.9,37.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-10-15 12:35:59.000000,0.0,56731.0,56731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +725,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-08-10 18:22:41.000000,2021-02-12 10:36:31.000000,840,13.0,505.0,5322.0,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,18,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,140.0,,,,,,,,3.0,1407.0,,,,,,,,,,,,,,,,,,,,, +726,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-11-17 17:08:12.000000,2021-11-14 21:25:56.000000,270,77.0,60.0,2698.0,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,17.0,18,True,2021-11-09 03:06:04.000000,0.4,6.0,lit-nlp,,,,,7.0,7.0,https://pypi.org/project/lit-nlp,2021-11-09 03:07:05.000000,,454.0,454.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +727,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2021-09-16 02:13:50.000000,2021-05-06 12:10:38.000000,105,14.0,22.0,2458.0,,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,18,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,,26.0,26.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,282.0,282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +728,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-11-17 18:41:32.000000,2021-11-17 18:34:52.000000,365,656.0,1267.0,2447.0,,cuML - RAPIDS Machine Learning Library.,144.0,18,True,2021-11-12 10:16:39.000000,21.10.02,18.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,699.0,699.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +729,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-09-26 02:36:04.000000,2021-08-19 02:08:33.000000,456,74.0,27.0,1898.0,136.0,Deep Learning Pipelines for Apache Spark.,16.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],19.0,19.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +730,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2021-10-16 02:17:23.000000,2019-10-02 23:26:11.000000,446,82.0,67.0,1578.0,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,261.0,261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +731,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1568.0,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,False,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,271.0,271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +732,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-09-29 18:48:52.000000,2021-09-29 18:48:52.000000,185,11.0,31.0,1451.0,239.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],9.0,9.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,0.0,687.0,687.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +733,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,254,20.0,13.0,1409.0,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,18,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,128.0,160.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1632.0,3.0,,,,,,,,,,,,,,,,,,,,,, +734,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-09-08 00:05:01.000000,2021-05-03 22:51:52.000000,239,8.0,29.0,1170.0,375.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +735,Optimus,hi-primus/optimus,,data-pipelines,https://github.com/hi-primus/optimus,https://github.com/hi-primus/optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-11-17 17:50:06.000000,2021-11-17 17:49:00.000000,205,32.0,192.0,1137.0,1.0,"Agile Data Preparation Workflows madeeasy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark.",25.0,18,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],,,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,5060.0,5060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +736,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-11-13 22:52:15.000000,2021-11-08 10:18:06.000000,302,20.0,237.0,1028.0,,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,54.0,18,True,2021-11-05 09:29:29.000000,2.3.24,66.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-11-05 09:29:29.000000,2.0,529.0,529.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,, +737,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-06-30 02:02:42.000000,2021-03-15 07:00:08.000000,102,20.0,8.0,946.0,66.0,Distributed Computing for AI Made Simple.,5.0,18,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,30.0,29.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,3455.0,3455.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +738,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2021-09-19 00:43:46.000000,2021-05-24 07:29:54.000000,48,14.0,9.0,930.0,156.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,39.0,25.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +739,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-11-16 22:55:57.000000,2021-11-16 22:55:56.000000,52,45.0,64.0,860.0,450.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,18.0,18,True,2021-08-26 08:49:41.000000,0.10.0,14.0,hivemind,,,,,4.0,3.0,https://pypi.org/project/hivemind,2021-08-26 08:49:41.000000,1.0,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +740,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2021-07-18 06:52:12.000000,2020-04-17 02:27:44.000000,91,26.0,34.0,750.0,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,18,False,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,71594.0,71594.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +741,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-07-28 22:22:28.000000,2021-07-28 22:22:27.000000,159,14.0,26.0,739.0,79.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",14.0,18,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,,,['tensorflow'],21.0,19.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,2.0,986.0,986.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +742,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-10-01 10:49:27.000000,2021-09-27 14:42:42.000000,103,15.0,10.0,719.0,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,18,True,2021-08-16 18:42:17.000000,0.1.8,13.0,tez,,,,['pytorch'],17.0,17.0,https://pypi.org/project/tez,2021-08-16 12:38:36.000000,0.0,1258.0,1258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +743,avalanche,ContinualAI/avalanche,,others,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000000,2021-11-16 20:04:44.000000,2021-11-16 20:04:43.000000,102,71.0,372.0,659.0,2188.0,Avalanche: an End-to-End Library for Continual Learning.,46.0,18,True,2021-11-05 17:05:51.000000,0.1.0,2.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +744,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-10-23 07:17:16.000000,2021-10-23 07:17:16.000000,138,11.0,29.0,658.0,413.0,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",3.0,18,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,621.0,621.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +745,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-11-16 20:26:41.000000,2021-03-04 15:19:19.000000,116,12.0,54.0,617.0,139.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",12.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,67.0,65.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,665.0,665.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +746,whylogs,whylabs/whylogs,,data-pipelines,https://github.com/whylabs/whylogs,https://github.com/whylabs/whylogs,Apache-2.0,2020-08-14 23:25:32.000000,2021-11-16 22:43:58.000000,2021-11-16 22:43:57.000000,30,36.0,56.0,612.0,,Open standard for end-to-end data and ML monitoring for any scale in any infrastructure.,22.0,18,True,2021-11-16 22:37:06.000000,0.6.13,102.0,whylogs,,,,,,,https://pypi.org/project/whylogs,2021-11-16 22:37:06.000000,,2829.0,2832.0,,,,,,,,3.0,47.0,,,,,,,,,,,,,,,,,,,,True, +747,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44.000000,60,17.0,22.0,495.0,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,18,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,24.0,20.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,726.0,726.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +748,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-11-10 19:43:31.000000,2021-09-16 17:56:31.000000,116,3.0,52.0,495.0,171.0,Code for the TCAV ML interpretability project.,19.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],13.0,11.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +749,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-10-04 13:21:59.000000,2021-10-04 13:20:39.000000,48,6.0,11.0,421.0,26.0,Leave One Feature Out Importance.,3.0,18,True,2021-10-04 13:21:59.000000,0.3.1,11.0,lofo-importance,,,,,6.0,6.0,https://pypi.org/project/lofo-importance,2021-10-04 13:21:59.000000,,670.0,670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +750,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-09-24 00:14:13.000000,2021-09-24 00:11:37.000000,89,15.0,24.0,389.0,,Working with molecular structures in pandas DataFrames.,8.0,18,True,2021-08-30 11:52:40.000000,0.2.9,14.0,biopandas,conda-forge/biopandas,,,['pandas'],6.0,,https://pypi.org/project/biopandas,2021-09-24 00:14:13.000000,6.0,1870.0,3407.0,https://anaconda.org/conda-forge/biopandas,2021-08-31 18:19:35.536000,90726.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +751,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,35,17.0,16.0,386.0,178.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,30.0,28.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,391.0,604.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,7046.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +752,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,80,55.0,164.0,362.0,413.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",16.0,18,False,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,45.0,44.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1093.0,1096.0,,,,,,,,3.0,188.0,,,,,,,,,,,,,,,,,,,,, +753,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-10-29 19:35:14.000000,2021-10-22 03:09:17.000000,38,2.0,12.0,360.0,149.0,High-level batteries-included neural network training library for Pytorch.,4.0,18,True,2021-10-22 03:19:11.000000,0.6.5,8.0,pywick,,,,['pytorch'],5.0,5.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000000,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +754,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-08-27 21:47:10.000000,2021-08-27 21:46:12.000000,61,12.0,43.0,328.0,236.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",6.0,18,True,2021-08-27 21:47:10.000000,0.0.38,17.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-08-27 21:47:10.000000,,2130.0,2130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +755,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,48,14.0,41.0,307.0,823.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,18.0,16.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,412.0,412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +756,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-10-20 08:30:11.000000,2021-10-20 08:28:45.000000,12,3.0,6.0,233.0,,Fast PyTorch based DSP for audio and 1D signals.,2.0,18,False,2021-10-20 08:30:11.000000,0.2.6,10.0,julius,,,,['pytorch'],45.0,45.0,https://pypi.org/project/julius,2021-10-20 08:30:11.000000,0.0,7665.0,7665.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +757,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-10-10 22:59:31.000000,2021-03-31 10:11:20.000000,22,2.0,9.0,223.0,129.0,scikit-learn wrappers for Python fastText.,7.0,18,False,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],10.0,10.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,543.0,543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +758,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2021-10-01 04:11:05.000000,2020-12-24 05:43:15.000000,34,28.0,47.0,187.0,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,18,False,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],10.0,8.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +759,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-11-08 12:31:08.000000,2021-11-08 12:31:08.000000,23,3.0,39.0,133.0,1143.0,Python Implementation and Extension of RDF2Vec.,5.0,18,False,2021-06-09 10:56:14.000000,0.2.3,11.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000000,,195.0,195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +760,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-10-28 10:16:13.000000,2021-10-28 09:58:54.000000,23,13.0,55.0,126.0,,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",9.0,18,False,2021-10-28 09:58:28.000000,0.6.1,11.0,celer,,,,['sklearn'],10.0,10.0,https://pypi.org/project/celer,2021-10-28 09:58:28.000000,,2256.0,2256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +761,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-11-17 18:43:32.000000,2021-11-17 17:08:27.000000,445,146.0,914.0,3574.0,,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,66.0,17,True,2021-10-25 07:02:59.000000,1.7.0,45.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +762,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-11-17 06:14:13.000000,2021-11-17 06:13:50.000000,426,41.0,75.0,3055.0,1339.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",121.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +763,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-11-17 17:01:07.000000,2021-11-17 16:57:49.000000,306,8.0,323.0,2832.0,,Online machine learning in Python.,68.0,17,True,,,,,,,,,48.0,48.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +764,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,389,67.0,48.0,2605.0,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,122.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6499.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +765,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-10-27 08:01:17.000000,2021-09-18 06:45:18.000000,85,11.0,12.0,1828.0,141.0,"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.",16.0,17,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +766,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-10-08 18:42:47.000000,2021-09-30 21:51:09.000000,156,129.0,585.0,1626.0,,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",47.0,17,True,2021-08-16 15:40:43.000000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,36.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,938.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +767,zenml,maiot-io/zenml,,data-pipelines,https://github.com/zenml-io/zenml,https://github.com/zenml-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-11-17 17:15:54.000000,2021-11-15 11:06:02.000000,77,5.0,44.0,1371.0,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,17.0,17,True,2021-11-05 17:28:54.000000,0.5.2,39.0,zenml,,,,,,,https://pypi.org/project/zenml,2021-11-05 17:21:01.000000,,479.0,479.0,,,,,,,,3.0,,,,,,,,,,,zenml-io/zenml,,,,,,,,,,, +768,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-06-01 22:52:09.000000,2019-12-18 13:31:50.000000,139,42.0,29.0,1101.0,699.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,500.0,500.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +769,DIG,divelab/DIG,,graph,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000000,2021-10-29 19:48:34.000000,2021-10-29 19:48:34.000000,119,1.0,51.0,942.0,,A library for graph deep learning research.,28.0,17,False,2021-10-13 00:38:18.000000,0.1.2,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000000,8.0,588.0,588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +770,ecco,jalammar/ecco,,interpretability,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000000,2021-11-11 12:41:40.000000,2021-10-29 13:14:11.000000,57,12.0,11.0,918.0,,Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks..,6.0,17,True,2021-08-02 08:50:55.000000,0.0.15,15.0,ecco,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ecco,2021-08-02 08:50:55.000000,0.0,448.0,448.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,, +771,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2021-08-03 15:45:16.000000,2021-08-03 15:45:16.000000,196,71.0,158.0,914.0,943.0,A toolbox to iNNvestigate neural networks' predictions!.,19.0,17,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],1.0,,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,378.0,378.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +772,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-11-17 15:47:17.000000,2021-11-17 00:01:47.000000,161,87.0,661.0,852.0,,cuGraph - RAPIDS Graph Analytics Library.,70.0,17,True,2021-10-06 19:07:49.000000,21.10.00,15.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,189.0,189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +773,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-11-17 08:24:46.000000,2021-11-17 08:24:46.000000,49,51.0,106.0,604.0,964.0,"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..",16.0,17,True,2021-09-16 04:09:57.000000,0.8.0,12.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-09-15 06:20:19.000000,,107.0,113.0,,,,,,,,3.0,100.0,,,,,,,,,,KomputeProject/kompute,,,,,,,,,,, +774,nboost,koursaros-ai/nboost,,nlp,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25.000000,65,29.0,50.0,598.0,1336.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,17,False,2020-06-12 20:05:15.000000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000000,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +775,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-10-27 09:21:15.000000,2021-10-26 22:08:24.000000,193,2.0,73.0,540.0,175.0,Data compression in TensorFlow.,10.0,17,True,2021-05-14 00:38:32.000000,2.2,11.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-05-14 00:25:53.000000,1.0,704.0,704.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +776,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-10-28 13:18:14.000000,2021-10-28 13:18:11.000000,64,40.0,349.0,525.0,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,17,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],49.0,32.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,520.0,520.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,,, +777,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,129,17.0,71.0,512.0,775.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",16.0,17,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,7.0,7.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,149.0,149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +778,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-11-01 20:34:00.000000,2021-11-01 20:33:59.000000,45,13.0,43.0,464.0,140.0,Library to enable Bayesian active learning in your research or labeling work.,11.0,17,True,2021-10-12 17:54:54.000000,1.4.0,11.0,baal,,,,,0.0,,https://pypi.org/project/baal,2021-10-12 17:53:39.000000,0.0,528.0,528.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +779,kale,kubeflow-kale/kale,,data-pipelines,https://github.com/kubeflow-kale/kale,https://github.com/kubeflow-kale/kale,Apache-2.0,2019-01-24 17:58:44.000000,2021-11-09 16:15:00.000000,2021-10-20 12:44:09.000000,87,83.0,71.0,457.0,644.0,Kubeflows superfood for Data Scientists.,10.0,17,True,2021-05-19 12:56:53.000000,0.7.0,15.0,kubeflow-kale,,,,['jupyter'],,,https://pypi.org/project/kubeflow-kale,2021-05-19 12:56:53.000000,,897.0,897.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +780,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2021-06-17 10:47:07.000000,2021-06-17 10:47:07.000000,76,7.0,17.0,368.0,203.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,17,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,518.0,518.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +781,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,100,14.0,19.0,366.0,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,32.0,29.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,196.0,196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +782,carefree-learn,carefree0910/carefree-learn,,tabular,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000000,2021-11-01 13:06:35.000000,2021-11-01 13:05:38.000000,30,,80.0,354.0,194.0,Deep Learning PyTorch.,1.0,17,True,2021-10-29 05:39:15.000000,0.2.1,20.0,carefree-learn,,,,['pytorch'],2.0,2.0,https://pypi.org/project/carefree-learn,2021-10-29 05:36:03.000000,,152.0,152.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +783,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-08-18 06:06:52.000000,2021-08-18 06:06:51.000000,17,2.0,25.0,343.0,1404.0,Camphr - NLP libary for creating pipeline components.,7.0,17,True,2021-07-28 07:48:46.000000,0.10.0,48.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-07-28 07:48:46.000000,0.0,428.0,428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +784,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,30,16.0,10.0,339.0,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,17,False,,,1.0,pdvega,,,,,64.0,57.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +785,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-11-13 11:33:37.000000,2021-07-05 08:09:48.000000,14,12.0,43.0,307.0,467.0,"ML pipeline orchestration and model deployments on Kubernetes, made really easy.",4.0,17,False,2021-07-05 08:15:59.000000,2.1.7,45.0,bodywork,,,,,8.0,8.0,https://pypi.org/project/bodywork,2021-07-05 08:15:59.000000,,305.0,305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +786,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000000,2021-11-16 03:15:56.000000,2021-11-16 03:15:56.000000,19,28.0,62.0,287.0,319.0,A High Level API for Deep Learning in JAX.,14.0,17,False,2021-11-08 21:19:03.000000,0.8.1,25.0,elegy,,,,"['tensorflow', 'jax']",,,https://pypi.org/project/elegy,2021-11-08 21:19:03.000000,,454.0,454.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +787,solt,MIPT-Oulu/solt,,image,https://github.com/MIPT-Oulu/solt,https://github.com/MIPT-Oulu/solt,MIT,2018-08-02 15:09:05.000000,2021-10-12 22:58:52.000000,2020-04-09 06:44:39.000000,19,17.0,30.0,252.0,336.0,Streaming over lightweight data transformations.,4.0,17,False,2020-03-10 14:09:31.000000,0.1.9,18.0,solt,,,,,27.0,24.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000000,3.0,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +788,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-11-08 16:53:47.290000,2021-06-14 10:58:10.000000,36,9.0,5.0,247.0,162.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,366.0,2560.0,https://anaconda.org/conda-forge/deepgraph,2021-11-08 16:53:47.290000,111931.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +789,launchpad,deepmind/launchpad,,distributed-ml,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000000,2021-11-17 10:01:21.000000,2021-11-17 10:00:42.000000,16,2.0,15.0,237.0,187.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,13.0,17,False,2021-11-09 09:39:17.000000,0.3.2,5.0,dm-launchpad,,,,['tensorflow'],1.0,1.0,https://pypi.org/project/dm-launchpad,2021-11-09 09:39:17.000000,,430.0,430.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +790,fastT5,Ki6an/fastT5,,nlp,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000000,2021-11-17 07:56:02.000000,2021-09-02 06:33:02.000000,23,14.0,11.0,228.0,15.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,3.0,17,False,2021-09-02 06:35:26.000000,0.0.7,7.0,fastt5,,,,,4.0,4.0,https://pypi.org/project/fastt5,2021-09-02 06:35:26.000000,,864.0,864.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +791,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2021-05-03 14:04:37.000000,2021-05-03 14:04:36.000000,34,5.0,44.0,196.0,293.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,13.0,12.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,137.0,137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +792,lkpy,lenskit/lkpy,,recommender-systems,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000000,2021-11-12 01:30:50.433000,2021-11-08 21:58:32.000000,49,26.0,63.0,183.0,,Python recommendation toolkit.,13.0,17,False,2021-06-22 17:06:47.000000,0.13.1,20.0,lenskit,conda-forge/lenskit,,,,0.0,,https://pypi.org/project/lenskit,2021-06-22 17:07:09.000000,0.0,1870.0,2477.0,https://anaconda.org/conda-forge/lenskit,2021-11-12 01:30:50.433000,7289.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +793,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-11-09 17:35:13.000000,2021-11-04 16:04:44.000000,26,21.0,113.0,174.0,,Highly optimized inference engine for Binarized Neural Networks.,17.0,17,False,2021-09-08 21:44:17.000000,0.6.2,15.0,larq-compute-engine,,,,,4.0,4.0,https://pypi.org/project/larq-compute-engine,2021-09-08 21:44:17.000000,,600.0,615.0,,,,,,,,3.0,316.0,,,,,,,,,,,,,,,,,,,,, +794,DEβ«ΆTR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-10-18 10:06:31.000000,2021-10-18 10:06:31.000000,1354,130.0,266.0,7907.0,42.0,End-to-End Object Detection with Transformers.,24.0,16,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +795,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-11-01 21:58:46.000000,2021-07-21 17:50:32.000000,1323,50.0,159.0,6572.0,488.0,A customisable 3D platform for agent-based AI research.,7.0,16,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +796,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-11-05 16:11:31.000000,2021-10-31 03:07:31.000000,560,21.0,78.0,5066.0,590.0,You like pytorch? You like micrograd? You love tinygrad!.,52.0,16,True,,,,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +797,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-10-08 04:42:07.000000,2020-10-18 09:32:47.000000,716,38.0,14.0,2393.0,28.0,Implementation and experiments of graph embedding algorithms.,8.0,16,False,,,,,,,,['sklearn'],12.0,12.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +798,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1758.0,102.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,47.0,47.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,,,, +799,keepsake,replicate/keepsake,,ml-experiments,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000000,2021-11-16 23:18:01.000000,2021-05-07 00:33:52.000000,58,123.0,64.0,1523.0,,Version control for machine learning.,16.0,16,True,2021-03-11 21:15:01.000000,0.4.2,7.0,keepsake,,,,,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000000,,731.0,731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +800,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,151,12.0,15.0,1491.0,,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,16,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],3.0,3.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +801,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1259.0,316.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +802,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,100,2.0,2.0,1179.0,192.0,"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +803,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-04-16 18:50:54.000000,2021-04-16 18:50:54.000000,110,14.0,9.0,753.0,57.0,A medical imaging framework for Pytorch.,8.0,16,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],11.0,11.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,206.0,206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +804,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-09-07 02:51:38.000000,2021-04-19 22:37:22.000000,93,18.0,48.0,673.0,42.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,16,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,1180.0,1180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +805,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-11-17 17:35:10.000000,2021-11-16 22:27:47.000000,97,28.0,22.0,657.0,479.0,Machine learning framework for both deep learning and traditional algorithms.,24.0,16,True,2021-06-22 05:25:53.000000,NeoML-master_2.0.5.0,2.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +806,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,39,4.0,2.0,643.0,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +807,textflint,textflint/textflint,,adversarial,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000000,2021-10-08 14:08:09.000000,2021-10-08 13:25:47.000000,75,1.0,21.0,519.0,169.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,12.0,16,False,2021-08-30 06:41:29.000000,0.0.5,5.0,textflint,,,,,2.0,2.0,https://pypi.org/project/textflint,2021-08-30 06:41:29.000000,,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +808,kglib,vaticle/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-10-22 14:09:11.000000,2021-10-22 14:09:00.000000,85,12.0,49.0,477.0,488.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,87.0,93.0,,,,,,,,3.0,211.0,,,,,,,,,,,,,,,,,,,,, +809,pytorch_tabular,manujosephv/pytorch_tabular,,tabular,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000000,2021-11-11 06:57:55.000000,2021-10-07 10:17:15.000000,42,16.0,29.0,471.0,,A standard framework for modelling Deep Learning Models for tabular data.,4.0,16,True,2021-09-01 11:51:30.000000,0.7.0,8.0,pytorch_tabular,,,,['pytorch'],,,https://pypi.org/project/pytorch_tabular,2021-09-01 11:51:30.000000,,579.0,579.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +810,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2021-11-10 19:40:54.000000,2020-02-19 07:57:17.000000,84,5.0,12.0,391.0,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +811,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2021-06-01 22:48:33.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,338.0,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +812,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,40,1.0,13.0,229.0,276.0,Easy training and deployment of seq2seq models.,2.0,16,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +813,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,199.0,127.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",2.0,16,False,,,23.0,parfit,,,,['sklearn'],9.0,9.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,12301.0,12301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +814,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,20,6.0,4.0,178.0,51.0,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,2621.0,2621.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +815,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,33,16.0,50.0,132.0,69.0,"Lightweight, Python library for fast and reproducible experimentation.",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,47.0,42.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +816,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-11-10 13:54:30.000000,2021-11-10 13:53:41.000000,27,6.0,1.0,89.0,,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,2.0,16,False,2021-11-10 13:54:30.000000,0.0.51,45.0,featurewiz,,,,,3.0,3.0,https://pypi.org/project/featurewiz,2021-11-10 13:54:30.000000,,2506.0,2506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +817,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639000,2021-11-09 20:33:15.000000,2021-08-06 12:03:40.000000,5,,,5.0,,Feature engineering package with sklearn like functionality.,24.0,16,False,2021-08-31 12:15:02.000000,1.1.2,28.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-08-31 12:15:02.000000,2.0,50469.0,50886.0,https://anaconda.org/conda-forge/feature_engine,2021-09-01 07:47:26.156000,6269.0,,,,,3.0,,-4.0,,,,,,,,,,,,,,,,,,,, +818,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-11-03 07:05:48.000000,2021-10-28 14:20:52.000000,844,237.0,234.0,4341.0,,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,26.0,15,True,,,,,,,,['pytorch'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +819,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-10-14 20:53:57.000000,2021-08-19 02:33:54.000000,201,19.0,53.0,1780.0,,"Codebase for Image Classification Research, written in PyTorch.",13.0,15,True,2021-05-21 00:29:47.000000,0.2,2.0,,,,,['pytorch'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +820,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-07-26 13:59:41.000000,2021-07-26 13:59:38.000000,92,7.0,34.0,870.0,157.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],9.0,9.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +821,madgrad,facebookresearch/madgrad,,pytorch-utils,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000000,2021-08-20 18:31:57.000000,2021-08-20 18:31:57.000000,51,2.0,7.0,749.0,,MADGRAD Optimization Method.,1.0,15,True,,,2.0,madgrad,,,,['pytorch'],18.0,18.0,https://pypi.org/project/madgrad,2021-04-01 13:54:29.000000,,4805.0,4805.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +822,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-10-06 18:21:48.000000,2021-10-06 18:21:42.000000,171,66.0,27.0,719.0,810.0,Translate - a PyTorch Language Library.,87.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,6.0,6.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +823,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,87,37.0,84.0,675.0,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,15,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,126.0,134.0,,,,,,,,3.0,329.0,,,,,,,,,,,,,,,,,,,,, +824,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-06-30 12:46:02.000000,2021-04-27 11:10:20.000000,75,10.0,22.0,631.0,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],7.0,7.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,242.0,242.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +825,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,80,28.0,29.0,610.0,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,15,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +826,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2021-08-30 13:03:29.000000,2021-08-30 13:03:29.000000,77,18.0,2.0,389.0,98.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,814.0,814.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +827,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-09-14 21:59:53.000000,2021-09-02 03:19:31.000000,42,7.0,9.0,369.0,,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,15,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,3.0,3.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +828,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,11.0,23.0,346.0,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +829,TextBox,RUCAIBox/TextBox,,nlp,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000000,2021-11-13 08:19:48.000000,2021-10-25 14:34:42.000000,52,4.0,12.0,318.0,,TextBox is an open-source library for building text generation system.,10.0,15,True,2021-04-15 13:39:28.000000,0.2.1,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000000,,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +830,interpret-text,interpretml/interpret-text,,interpretability,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000000,2021-10-06 13:29:11.000000,2021-03-02 02:33:00.000000,52,55.0,16.0,284.0,143.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,15,False,2020-05-20 23:42:32.000000,0.1.2,3.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2020-05-20 23:42:32.000000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +831,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,37,10.0,17.0,245.0,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,15,False,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,418.0,418.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,, +832,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-11-10 19:59:22.000000,2020-12-16 17:41:37.000000,30,31.0,8.0,213.0,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +833,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-09-16 21:08:52.000000,2021-09-16 21:08:49.000000,10,,4.0,141.0,197.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,15,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +834,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-07-09 20:34:09.000000,2021-07-09 18:47:52.000000,9,1.0,,112.0,,Data Analysis Baseline Library.,21.0,15,False,2021-07-09 19:20:43.000000,0.2.2,12.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-07-09 19:20:43.000000,,2523.0,2523.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +835,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-06-21 10:38:53.000000,2021-05-31 02:53:22.000000,885,21.0,315.0,3389.0,158.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +836,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-09-29 09:46:39.000000,2021-04-06 08:24:50.000000,820,68.0,308.0,2784.0,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +837,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-04-19 11:30:28.000000,2020-07-29 05:53:01.000000,534,213.0,102.0,2691.0,8.0,A distributed graph deep learning framework.,5.0,14,False,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +838,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,399,8.0,53.0,2083.0,439.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +839,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2021-06-24 12:28:13.000000,2020-04-18 19:15:25.000000,144,2.0,3.0,1827.0,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,14,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],4.0,4.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +840,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-09-15 14:38:30.000000,2019-08-12 10:56:27.000000,466,50.0,94.0,1522.0,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +841,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-11-15 13:42:41.000000,2021-11-04 18:34:31.000000,77,21.0,28.0,1001.0,268.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",13.0,14,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +842,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000000,2021-11-16 12:50:22.000000,2021-08-12 08:32:06.000000,70,5.0,10.0,708.0,,An autoML framework & toolkit for machine learning on graphs.,9.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +843,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-11-17 14:07:59.000000,2021-11-03 17:29:13.000000,78,15.0,110.0,544.0,,GPU accelerated signal processing.,36.0,14,True,2021-10-07 00:27:16.000000,21.10.00,9.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +844,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2021-10-20 11:36:04.000000,2021-10-20 11:36:04.000000,56,2.0,1.0,487.0,85.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +845,deltapy,firmai/deltapy,,tabular,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000000,2021-10-20 12:30:02.000000,2021-10-20 12:30:02.000000,39,1.0,1.0,382.0,40.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,14,True,2020-11-12 16:13:21.000000,zen,11.0,deltapy,,,,,2.0,2.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000000,,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +846,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,358.0,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +847,pykale,pykale/pykale,,others,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000000,2021-11-17 18:51:09.000000,2021-11-17 10:26:59.000000,32,10.0,57.0,305.0,,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,16.0,14,True,2021-10-13 22:01:16.000000,0.1.0rc4,8.0,pykale,,,,['pytorch'],,,https://pypi.org/project/pykale,2021-10-13 22:02:19.000000,,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +848,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,288.0,465.0,NLP library designed for reproducible experimentation management.,7.0,14,False,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +849,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-07-02 20:30:09.000000,2021-03-02 19:30:45.000000,15,69.0,175.0,287.0,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,14,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,309.0,309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +850,tsaug,arundo/tsaug,,time-series-data,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000000,2020-04-17 02:55:58.000000,2020-04-17 02:46:38.000000,21,6.0,3.0,213.0,10.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000000,,449.0,449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +851,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,23,6.0,8.0,185.0,74.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",3.0,14,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +852,TorchDrift,torchdrift/torchdrift,,pytorch-utils,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000000,2021-06-29 11:52:29.000000,2021-06-29 11:52:29.000000,5,2.0,4.0,182.0,33.0,Drift Detection for your PyTorch Models.,2.0,14,False,2021-03-08 12:21:48.000000,0.1.0,3.0,torchdrift,,,,['pytorch'],12.0,12.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000000,,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +853,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,3.0,6.0,178.0,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,14,False,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +854,numerizer,jaidevd/numerizer,,nlp,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000000,2021-04-04 05:05:33.000000,2021-04-03 04:27:49.000000,8,2.0,4.0,131.0,17.0,A Python module to convert natural language numerics into ints and floats.,2.0,14,False,2021-04-03 04:33:45.000000,0.2.0,8.0,numerizer,,,,,12.0,12.0,https://pypi.org/project/numerizer,2021-04-03 04:33:45.000000,,3176.0,3176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +855,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-11-17 15:06:25.000000,2021-08-01 07:11:57.000000,12,4.0,10.0,122.0,363.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,105.0,122.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,642.0,3.0,,,,,,,,,,,,,,,,,,,,,, +856,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,34,27.0,16.0,106.0,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +857,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,14,3.0,2.0,97.0,207.0,"Better, faster hyper-parameter optimization.",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +858,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-11-11 10:54:41.000000,2021-11-11 10:53:33.000000,10,4.0,11.0,72.0,630.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,14,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,119.0,119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +859,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-11-17 12:56:12.000000,2021-02-03 08:52:27.000000,2,7.0,5.0,27.0,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,3.0,3.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +860,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-11-03 16:23:46.000000,2019-12-13 19:03:25.000000,498,50.0,148.0,3701.0,,"Learning embeddings for classification, retrieval and ranking.",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +861,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-08-25 15:01:46.000000,2018-09-19 19:27:00.000000,705,96.0,59.0,2542.0,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,13,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +862,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,456,37.0,7.0,2493.0,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +863,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2021-09-16 22:05:49.000000,2020-08-27 13:37:26.000000,332,50.0,14.0,1265.0,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +864,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-09-09 14:14:09.000000,2021-09-09 14:14:04.000000,275,40.0,85.0,1059.0,40.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +865,Maze,enlite-ai/maze,,reinforcement-learning,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000000,2021-11-02 16:22:21.000000,2021-06-24 20:06:29.000000,4,,2.0,199.0,,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2021-06-24 20:08:22.000000,0.1.7,18.0,maze-rl,,enliteai/maze,,['pytorch'],1.0,1.0,https://pypi.org/project/maze-rl,2021-06-24 20:28:17.000000,,60.0,86.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,234.0,3.0,,,,,,,,,,,,,,,,,,,,,, +866,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-11-10 20:14:57.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,179.0,79.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +867,autodist,petuum/autodist,,distributed-ml,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000000,2021-04-12 21:55:36.000000,2021-01-28 00:04:40.000000,21,11.0,1.0,113.0,208.0,Simple Distributed Deep Learning on TensorFlow.,11.0,13,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +868,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,9,1.0,3.0,89.0,72.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",3.0,3.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +869,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05.000000,246,10.0,6.0,1360.0,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +870,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-06-28 17:42:41.000000,2021-04-29 13:46:13.000000,156,13.0,3.0,1106.0,,A web app to generate template code for machine learning.,3.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +871,backprop,backprop-ai/backprop,,model-serialisation,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21.000000,10,3.0,4.0,218.0,,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,12,False,2021-04-20 13:53:12.000000,0.1.2,14.0,backprop,,,,,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000000,,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +872,dstack,dstackai/dstack,,others,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,Apache-2.0,2020-06-22 09:03:03.000000,2021-11-16 16:00:28.000000,,11,21.0,,183.0,,An open-source tool to rapidly develop data applications with Python.,2.0,12,False,2021-03-23 15:46:40.000000,0.6.5,33.0,dstack,,,,,,,https://pypi.org/project/dstack,2021-11-16 16:00:28.000000,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +873,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-09-16 02:14:06.000000,2021-08-19 13:59:11.000000,8,,,44.0,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,7.0,7.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +874,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-10-27 10:28:48.000000,2021-10-27 10:28:48.000000,7,,,35.0,,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +875,model_search,google/model_search,,hyperopt,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000000,2021-07-26 12:43:38.000000,2021-03-17 17:06:04.000000,304,34.0,15.0,3151.0,8.0,AutoML algorithms for model architecture search at scale.,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +876,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,129,35.0,56.0,967.0,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,11,True,,,4.0,,milagraph/graphvite,,,,,,,,,,148.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,4016.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +877,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,936.0,116.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +878,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,146,15.0,14.0,888.0,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +879,BLINK,facebookresearch/BLINK,,nlp,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000000,2021-10-28 02:39:25.000000,2021-04-02 03:03:34.000000,133,44.0,28.0,763.0,,Entity Linker solution.,16.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +880,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,119.0,64.0,A toolset for black-box hyperparameter optimisation.,2.0,11,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +881,nylon,Palashio/nylon,,others,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10.000000,9,14.0,18.0,77.0,,"An intelligent, flexible grammar of machine learning.",3.0,11,False,2021-06-25 14:27:32.000000,0.0.7,8.0,nylon-ai,,,,,1.0,1.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +882,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,,nlp,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000000,2021-04-12 13:38:53.000000,2021-04-12 13:38:47.000000,5,6.0,,44.0,13.0,A spaCy wrapper for DBpedia Spotlight.,1.0,11,False,2021-04-12 13:25:07.000000,0.2.1,6.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2021-04-09 13:21:45.000000,,266.0,266.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +883,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44.000000,45,3.0,6.0,334.0,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +884,Lea,,,probabilistics,,http://bitbucket.org/piedenis/lea,GPL-3.0,,2020-11-13 19:50:21.000000,,3,,,,,Discrete probability distributions in Python.,,10,False,2020-11-13 19:50:21.000000,3.4.0,50.0,lea,,,,,21.0,,https://pypi.org/project/lea,2020-11-13 19:50:21.000000,21.0,1959.0,1959.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,piedenis/lea +885,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9.0,122.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 4bd1bf54..d5371d03 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,36 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- scikit-image (πŸ₯‡34 Β· ⭐ 4.5K Β· πŸ“ˆ) - Image processing in Python. BSD-2 -- Airflow (πŸ₯ˆ33 Β· ⭐ 23K Β· πŸ“ˆ) - Platform to programmatically author, schedule, and monitor.. Apache-2 -- jieba (πŸ₯‡32 Β· ⭐ 27K Β· πŸ’€) - Chinese Words Segmentation Utilities. MIT -- SageMaker SDK (πŸ₯‡32 Β· ⭐ 1.5K Β· πŸ“ˆ) - A library for training and deploying machine learning.. Apache-2 -- Lime (πŸ₯‡30 Β· ⭐ 9K Β· πŸ“ˆ) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 -- faust (πŸ₯ˆ30 Β· ⭐ 5.7K Β· πŸ’€) - Python Stream Processing. BSD-3 -- Jina (πŸ₯ˆ29 Β· ⭐ 8.2K Β· πŸ“ˆ) - Cloud-native neural search framework for kind of data. Apache-2 -- datashader (πŸ₯ˆ29 Β· ⭐ 2.6K Β· πŸ“ˆ) - Quickly and accurately render even the largest data. BSD-3 -- mleap (πŸ₯ˆ29 Β· ⭐ 1.3K Β· πŸ“ˆ) - MLeap: Deploy ML Pipelines to Production. Apache-2 -- Streamlit (πŸ₯‡28 Β· ⭐ 16K Β· πŸ“ˆ) - Streamlit The fastest way to build data apps in Python. Apache-2 +- PyOD (πŸ₯‡31 Β· ⭐ 5K Β· πŸ“ˆ) - A Python Toolbox for Scalable Outlier Detection (Anomaly Detection). BSD-2 +- einops (πŸ₯ˆ30 Β· ⭐ 3.9K Β· πŸ“ˆ) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT +- category_encoders (πŸ₯ˆ30 Β· ⭐ 1.8K Β· πŸ“ˆ) - A library of sklearn compatible categorical variable.. BSD-3 +- Milvus (πŸ₯‡29 Β· ⭐ 8.8K Β· πŸ“ˆ) - An open-source vector database for embedding similarity search.. Apache-2 +- Cython BLIS (πŸ₯‡29 Β· ⭐ 180 Β· πŸ“ˆ) - Fast matrix-multiplication as a self-contained Python library.. BSD-3 +- Core ML Tools (πŸ₯‡27 Β· ⭐ 2.4K Β· πŸ“ˆ) - Core ML tools contain supporting tools for Core ML model.. BSD-3 +- accelerate (πŸ₯‡25 Β· ⭐ 2K Β· πŸ“ˆ) - A simple way to train and use PyTorch models with multi-.. Apache-2 +- CausalNex (πŸ₯ˆ24 Β· ⭐ 1.4K Β· πŸ“ˆ) - A Python library that helps data scientists to infer.. Apache-2 +- iterative-stratification (πŸ₯‰22 Β· ⭐ 610 Β· πŸ“ˆ) - scikit-learn cross validators for iterative.. BSD-3 +- aim (πŸ₯‰20 Β· ⭐ 1.7K Β· πŸ“ˆ) - Aim an easy-to-use and performant open-source experiment tracker. Apache-2 ## πŸ“‰ Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- SymPy (πŸ₯‡36 Β· ⭐ 8.3K Β· πŸ“‰) - A computer algebra system written in pure Python. BSD-3 -- ChatterBot (πŸ₯‡31 Β· ⭐ 11K Β· πŸ“‰) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 -- DeepSpeech (πŸ₯ˆ25 Β· ⭐ 18K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- Sumy (πŸ₯ˆ25 Β· ⭐ 2.6K Β· πŸ“‰) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- fancyimpute (πŸ₯ˆ25 Β· ⭐ 990 Β· πŸ“‰) - Multivariate imputation and matrix completion.. Apache-2 -- tensorrec (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 -- Labml (πŸ₯‰21 Β· ⭐ 700 Β· πŸ“‰) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- Studio.ml (πŸ₯‰21 Β· ⭐ 370 Β· πŸ“‰) - Studio: Simplify and expedite model building process. Apache-2 -- finmarketpy (πŸ₯‰20 Β· ⭐ 2.7K Β· πŸ“‰) - Python library for backtesting trading strategies &.. Apache-2 -- finetune (πŸ₯‰19 Β· ⭐ 650 Β· πŸ“‰) - Scikit-learn style model finetuning for NLP. MPL-2.0 +- Matplotlib (πŸ₯‡38 Β· ⭐ 15K Β· πŸ“‰) - matplotlib: plotting with Python. Python-2.0 +- Pillow (πŸ₯‡35 Β· ⭐ 9.1K Β· πŸ“‰) - The friendly PIL fork (Python Imaging Library). ❗️PIL +- DVC (πŸ₯‡30 Β· ⭐ 8.9K Β· πŸ“‰) - Data Version Control | Git for Data & Models | ML Experiments.. Apache-2 +- folium (πŸ₯ˆ29 Β· ⭐ 5.5K Β· πŸ“‰) - Python Data. Leaflet.js Maps. MIT +- wandb client (πŸ₯ˆ29 Β· ⭐ 3.5K Β· πŸ“‰) - A tool for visualizing and tracking your machine learning.. MIT +- fairseq (πŸ₯ˆ27 Β· ⭐ 15K Β· πŸ“‰) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT +- Sonnet (πŸ₯‰27 Β· ⭐ 9.1K Β· πŸ“‰) - TensorFlow-based neural network library. Apache-2 +- detectron2 (πŸ₯ˆ26 Β· ⭐ 19K Β· πŸ“‰) - Detectron2 is FAIR's next-generation platform for object.. Apache-2 +- neon (πŸ₯‰19 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 +- Feature Engine (πŸ₯‰16 Β· ⭐ 5 Β· πŸ“‰) - Feature engineering package with sklearn like functionality. BSD-3 + +## βž• Added Projects + +_Projects that were recently added to this best-of list._ + +- TSFEL (πŸ₯‰20 Β· ⭐ 310 Β· βž•) - An intuitive library to extract features from time series. BSD-3 +- whylogs (πŸ₯‰18 Β· ⭐ 610 Β· βž•) - Open standard for end-to-end data and ML monitoring for any scale.. Apache-2