From f831a7060f58ae6aa44ee76f3ac0d6ec8e6fd554 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 3 Jun 2021 15:44:52 +0000 Subject: [PATCH] Update best-of list for version 2021.06.03 --- README.md | 5266 +++++++++++++++---------------- history/2021-06-03_changes.md | 30 + history/2021-06-03_projects.csv | 845 +++++ latest-changes.md | 47 +- 4 files changed, 3502 insertions(+), 2686 deletions(-) create mode 100644 history/2021-06-03_changes.md create mode 100644 history/2021-06-03_projects.csv diff --git a/README.md b/README.md index 8f76e932..3f3149f9 100644 --- a/README.md +++ b/README.md @@ -98,32 +98,32 @@ _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’» 3.6K Β· πŸ”€ 85K Β· πŸ“¦ 140K Β· πŸ“‹ 32K - 12% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 3.7K Β· πŸ”€ 85K Β· πŸ“¦ 140K Β· πŸ“‹ 32K - 12% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 11M / month Β· πŸ“¦ 23K Β· ⏱️ 05.05.2021): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 10M / month Β· πŸ“¦ 23K Β· ⏱️ 13.05.2021): ``` pip install tensorflow ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 2.5M Β· ⏱️ 30.04.2021): +- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 2.6M Β· ⏱️ 30.04.2021): ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 52M Β· ⭐ 1.9K Β· ⏱️ 13.05.2021): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 53M Β· ⭐ 1.9K Β· ⏱️ 03.06.2021): ``` docker pull tensorflow/tensorflow ```
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PyTorch (πŸ₯‡41 Β· ⭐ 48K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +
PyTorch (πŸ₯‡41 Β· ⭐ 49K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 2.7K Β· πŸ”€ 13K Β· πŸ“¦ 76K Β· πŸ“‹ 23K - 38% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 2.7K Β· πŸ”€ 13K Β· πŸ“¦ 79K Β· πŸ“‹ 23K - 37% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 3.8M / month Β· πŸ“¦ 6.7K Β· ⏱️ 25.03.2021): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 3.9M / month Β· πŸ“¦ 6.7K Β· ⏱️ 25.03.2021): ``` pip install torch ``` @@ -134,55 +134,55 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (πŸ₯‡38 Β· ⭐ 30K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 2.5K Β· πŸ”€ 24K Β· πŸ“¦ 590 Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 2.5K Β· πŸ”€ 24K Β· πŸ“¦ 590 Β· ⏱️ 03.06.2021): ``` git clone https://github.com/apache/spark ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 10M / month Β· πŸ“¦ 760 Β· ⏱️ 19.02.2021): +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 10M / month Β· πŸ“¦ 760 Β· ⏱️ 27.05.2021): ``` pip install pyspark ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 1M Β· ⏱️ 04.03.2021): +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 1.1M Β· ⏱️ 29.05.2021): ``` conda install -c conda-forge pyspark ```
scikit-learn (πŸ₯‡37 Β· ⭐ 46K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 2.2K Β· πŸ”€ 21K Β· πŸ“₯ 690 Β· πŸ“¦ 220K Β· πŸ“‹ 9.2K - 25% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 2.2K Β· πŸ”€ 21K Β· πŸ“₯ 690 Β· πŸ“¦ 230K Β· πŸ“‹ 9.3K - 25% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 23M / month Β· πŸ“¦ 38K Β· ⏱️ 28.04.2021): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 22M / month Β· πŸ“¦ 38K Β· ⏱️ 28.04.2021): ``` pip install scikit-learn ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 8M Β· ⏱️ 28.04.2021): +- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 8.1M Β· ⏱️ 28.04.2021): ``` conda install -c conda-forge scikit-learn ```
XGBoost (πŸ₯‡37 Β· ⭐ 21K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 8K Β· πŸ“₯ 2.4K Β· πŸ“¦ 17K Β· πŸ“‹ 4.1K - 7% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 8K Β· πŸ“₯ 2.5K Β· πŸ“¦ 18K Β· πŸ“‹ 4.1K - 7% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 5.2M / month Β· πŸ“¦ 1.6K Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 5.3M / month Β· πŸ“¦ 1.6K Β· ⏱️ 13.05.2021): ``` pip install xgboost ``` -- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 1.6M Β· ⏱️ 29.04.2021): +- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 1.7M Β· ⏱️ 29.04.2021): ``` conda install -c conda-forge xgboost ```
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’» 220 Β· πŸ”€ 3.3K Β· πŸ“₯ 110K Β· πŸ“¦ 6.9K Β· πŸ“‹ 2.2K - 4% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 3.3K Β· πŸ“₯ 100K Β· πŸ“¦ 7.3K Β· πŸ“‹ 2.3K - 5% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/microsoft/LightGBM @@ -191,19 +191,35 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install lightgbm ``` -- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 580K Β· ⏱️ 20.04.2021): +- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 600K Β· ⏱️ 20.04.2021): ``` conda install -c conda-forge lightgbm ```
+
jax (πŸ₯ˆ35 Β· ⭐ 13K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 + +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.2K Β· πŸ“¦ 1.7K Β· πŸ“‹ 2.4K - 31% open Β· ⏱️ 03.06.2021): + + ``` + git clone https://github.com/google/jax + ``` +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 570K / month Β· πŸ“¦ 46 Β· ⏱️ 04.05.2021): + ``` + pip install jax + ``` +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 130K Β· ⏱️ 18.05.2021): + ``` + conda install -c conda-forge jaxlib + ``` +
MXNet (πŸ₯ˆ34 Β· ⭐ 19K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2 -- [GitHub](https://github.com/apache/incubator-mxnet) (πŸ‘¨β€πŸ’» 960 Β· πŸ”€ 6.8K Β· πŸ“₯ 24K Β· πŸ“¦ 2K Β· πŸ“‹ 9.5K - 19% open Β· ⏱️ 08.05.2021): +- [GitHub](https://github.com/apache/incubator-mxnet) (πŸ‘¨β€πŸ’» 960 Β· πŸ”€ 6.8K Β· πŸ“₯ 24K Β· πŸ“¦ 2.1K Β· πŸ“‹ 9.5K - 19% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/apache/incubator-mxnet ``` -- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 230K / month Β· πŸ“¦ 440 Β· ⏱️ 31.03.2021): +- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 240K / month Β· πŸ“¦ 440 Β· ⏱️ 31.03.2021): ``` pip install mxnet ``` @@ -212,30 +228,30 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c anaconda mxnet ```
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jax (πŸ₯ˆ34 Β· ⭐ 13K Β· πŸ“ˆ) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +
pytorch-lightning (πŸ₯ˆ34 Β· ⭐ 14K) - The lightweight PyTorch wrapper for high-performance.. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“¦ 1.6K Β· πŸ“‹ 2.4K - 32% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/PyTorchLightning/pytorch-lightning) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.6K Β· πŸ“₯ 3.5K Β· πŸ“¦ 3.2K Β· πŸ“‹ 3.4K - 9% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/google/jax + git clone https://github.com/PyTorchLightning/pytorch-lightning ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 440K / month Β· πŸ“¦ 46 Β· ⏱️ 04.05.2021): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 440K / month Β· πŸ“¦ 14 Β· ⏱️ 26.05.2021): ``` - pip install jax + pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 120K Β· ⏱️ 12.05.2021): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 140K Β· ⏱️ 26.05.2021): ``` - conda install -c conda-forge jaxlib + conda install -c conda-forge pytorch-lightning ```
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Theano (πŸ₯ˆ34 Β· ⭐ 9.4K) - Theano is a Python library that allows you to define, optimize, and.. BSD-3 +
Theano (πŸ₯ˆ34 Β· ⭐ 9.4K) - 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): ``` git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 290K / month Β· πŸ“¦ 5.5K Β· ⏱️ 27.07.2020): +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 240K / month Β· πŸ“¦ 5.5K Β· ⏱️ 27.07.2020): ``` pip install theano ``` @@ -246,51 +262,35 @@ _General-purpose machine learning and deep learning frameworks._
PyFlink (πŸ₯ˆ33 Β· ⭐ 16K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 8.8K Β· πŸ“¦ 280 Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 9.1K Β· πŸ“¦ 290 Β· ⏱️ 03.06.2021): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 5.3K / month Β· ⏱️ 29.04.2021): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 5.8K / month Β· ⏱️ 28.05.2021): ``` pip install apache-flink ```
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pytorch-lightning (πŸ₯ˆ33 Β· ⭐ 13K) - The lightweight PyTorch wrapper for high-performance.. Apache-2 - -- [GitHub](https://github.com/PyTorchLightning/pytorch-lightning) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 1.6K Β· πŸ“₯ 3.3K Β· πŸ“¦ 2.9K Β· πŸ“‹ 3.3K - 8% open Β· ⏱️ 13.05.2021): - - ``` - git clone https://github.com/PyTorchLightning/pytorch-lightning - ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 420K / month Β· πŸ“¦ 14 Β· ⏱️ 11.05.2021): - ``` - pip install pytorch-lightning - ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 130K Β· ⏱️ 11.05.2021): - ``` - conda install -c conda-forge pytorch-lightning - ``` -
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StatsModels (πŸ₯ˆ33 Β· ⭐ 6.3K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +
StatsModels (πŸ₯ˆ33 Β· ⭐ 6.4K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.2K Β· πŸ“₯ 25 Β· πŸ“¦ 42K Β· πŸ“‹ 4.4K - 47% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 2.3K Β· πŸ“₯ 25 Β· πŸ“¦ 44K Β· πŸ“‹ 4.4K - 47% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 4M / month Β· πŸ“¦ 6.7K Β· ⏱️ 02.02.2021): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 4.3M / month Β· πŸ“¦ 6.7K Β· ⏱️ 02.02.2021): ``` pip install statsmodels ``` -- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 4M Β· ⏱️ 15.02.2021): +- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 4.1M Β· ⏱️ 15.02.2021): ``` conda install -c conda-forge statsmodels ```
Fastai (πŸ₯ˆ32 Β· ⭐ 21K) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 7K Β· πŸ“‹ 1.5K - 5% open Β· ⏱️ 04.05.2021): +- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 7K Β· πŸ“‹ 1.5K - 6% open Β· ⏱️ 20.05.2021): ``` git clone https://github.com/fastai/fastai @@ -302,171 +302,159 @@ _General-purpose machine learning and deep learning frameworks._
Thinc (πŸ₯ˆ32 Β· ⭐ 2.3K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 210 Β· πŸ“¦ 13K Β· πŸ“‹ 110 - 15% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 210 Β· πŸ“¦ 14K Β· πŸ“‹ 110 - 14% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 1.9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 09.03.2021): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 2.1M / month Β· πŸ“¦ 1.1K Β· ⏱️ 09.03.2021): ``` pip install thinc ``` -- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 1.4M Β· ⏱️ 23.04.2021): +- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 1.5M Β· ⏱️ 23.04.2021): ``` conda install -c conda-forge thinc ```
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PaddlePaddle (πŸ₯ˆ31 Β· ⭐ 15K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 +
PaddlePaddle (πŸ₯ˆ31 Β· ⭐ 16K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 540 Β· πŸ”€ 3.7K Β· πŸ“₯ 15K Β· πŸ“¦ 43 Β· πŸ“‹ 13K - 18% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 550 Β· πŸ”€ 3.8K Β· πŸ“₯ 15K Β· πŸ“¦ 46 Β· πŸ“‹ 13K - 19% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 13K / month Β· πŸ“¦ 16 Β· ⏱️ 05.03.2021): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 14K / month Β· πŸ“¦ 16 Β· ⏱️ 15.05.2021): ``` pip install paddlepaddle ```
Catboost (πŸ₯ˆ31 Β· ⭐ 5.9K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 780 Β· πŸ”€ 890 Β· πŸ“₯ 55K Β· πŸ“‹ 1.5K - 22% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 800 Β· πŸ”€ 900 Β· πŸ“₯ 57K Β· πŸ“‹ 1.5K - 21% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2.7M / month Β· πŸ“¦ 160 Β· ⏱️ 05.04.2021): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2.3M / month Β· πŸ“¦ 160 Β· ⏱️ 05.04.2021): ``` pip install catboost ``` -- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 680K Β· ⏱️ 12.04.2021): +- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 700K Β· ⏱️ 12.04.2021): ``` conda install -c conda-forge catboost ```
Keras (πŸ₯ˆ30 Β· ⭐ 51K) - Deep Learning for humans. MIT -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 19K Β· πŸ“‹ 11K - 31% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 19K Β· πŸ“‹ 11K - 31% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 3.4M / month Β· ⏱️ 12.04.2021): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 3.3M / month Β· ⏱️ 12.04.2021): ``` pip install keras ``` -- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 1.6M Β· ⏱️ 19.04.2021): +- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 1.7M Β· ⏱️ 19.04.2021): ``` conda install -c conda-forge keras ```
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Vowpal Wabbit (πŸ₯ˆ30 Β· ⭐ 7.5K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 +
Vowpal Wabbit (πŸ₯ˆ30 Β· ⭐ 7.6K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.7K Β· πŸ“¦ 120 Β· πŸ“‹ 1.1K - 13% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.7K Β· πŸ“¦ 140 Β· πŸ“‹ 1.1K - 13% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 21K / month Β· πŸ“¦ 16 Β· ⏱️ 13.04.2021): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 18K / month Β· πŸ“¦ 16 Β· ⏱️ 13.04.2021): ``` pip install vowpalwabbit ```
Chainer (πŸ₯ˆ30 Β· ⭐ 5.6K) - A flexible framework of neural networks for deep learning. MIT -- [GitHub](https://github.com/chainer/chainer) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.2K Β· πŸ“‹ 2K - 0% open Β· ⏱️ 17.02.2021): +- [GitHub](https://github.com/chainer/chainer) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.3K Β· πŸ“‹ 2K - 0% open Β· ⏱️ 17.02.2021): ``` git clone https://github.com/chainer/chainer ``` -- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 25K / month Β· πŸ“¦ 740 Β· ⏱️ 13.01.2021): +- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 27K / month Β· πŸ“¦ 740 Β· ⏱️ 13.01.2021): ``` pip install chainer ```
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TFlearn (πŸ₯ˆ29 Β· ⭐ 9.5K) - Deep learning library featuring a higher-level API for TensorFlow. MIT +
TFlearn (πŸ₯ˆ29 Β· ⭐ 9.5K 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“¦ 3.2K 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“¦ 3.3K Β· πŸ“‹ 920 - 60% open Β· ⏱️ 30.11.2020): ``` git clone https://github.com/tflearn/tflearn ``` -- [PyPi](https://pypi.org/project/tflearn) (πŸ“₯ 18K / month Β· πŸ“¦ 960 Β· ⏱️ 11.11.2020): +- [PyPi](https://pypi.org/project/tflearn) (πŸ“₯ 21K / month Β· πŸ“¦ 960 Β· ⏱️ 11.11.2020): ``` pip install tflearn ```
Sonnet (πŸ₯ˆ29 Β· ⭐ 8.9K) - TensorFlow-based neural network library. Apache-2 -- [GitHub](https://github.com/deepmind/sonnet) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 1.3K Β· πŸ“¦ 580 Β· πŸ“‹ 160 - 12% open Β· ⏱️ 15.03.2021): +- [GitHub](https://github.com/deepmind/sonnet) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 1.3K Β· πŸ“¦ 590 Β· πŸ“‹ 160 - 12% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 80K / month Β· πŸ“¦ 82 Β· ⏱️ 27.03.2020): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 72K / month Β· πŸ“¦ 82 Β· ⏱️ 27.03.2020): ``` pip install dm-sonnet ``` -- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 9.2K Β· ⏱️ 14.11.2020): +- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 9.5K Β· ⏱️ 14.11.2020): ``` conda install -c conda-forge sonnet ```
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Ignite (πŸ₯ˆ29 Β· ⭐ 3.6K) - High-level library to help with training and evaluating neural.. BSD-3 - -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 450 Β· πŸ“¦ 880 Β· πŸ“‹ 820 - 12% open Β· ⏱️ 11.05.2021): - - ``` - git clone https://github.com/pytorch/ignite - ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 46K / month Β· πŸ“¦ 62 Β· ⏱️ 13.05.2021): - ``` - pip install pytorch-ignite - ``` -- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 60K Β· ⏱️ 03.03.2021): - ``` - conda install -c pytorch ignite - ``` -
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tensorpack (πŸ₯‰28 Β· ⭐ 6K) - A Neural Net Training Interface on TensorFlow, with focus on.. Apache-2 +
tensorpack (πŸ₯ˆ29 Β· ⭐ 6K) - A Neural Net Training Interface on TensorFlow, with focus on.. Apache-2 -- [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 1.8K Β· πŸ“₯ 120 Β· πŸ“¦ 760 Β· πŸ“‹ 1.3K - 0% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 1.8K Β· πŸ“₯ 120 Β· πŸ“¦ 780 Β· πŸ“‹ 1.3K - 0% open Β· ⏱️ 07.05.2021): ``` 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“₯ 18K / month Β· πŸ“¦ 76 Β· ⏱️ 22.01.2021): ``` pip install tensorpack ```
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dyNET (πŸ₯‰28 Β· ⭐ 3.2K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 +
Ignite (πŸ₯ˆ29 Β· ⭐ 3.6K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 700 Β· πŸ“₯ 2.9K Β· πŸ“¦ 180 Β· πŸ“‹ 920 - 28% open Β· ⏱️ 27.01.2021): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 450 Β· πŸ“¦ 910 Β· πŸ“‹ 830 - 12% open Β· ⏱️ 03.06.2021): ``` - git clone https://github.com/clab/dynet + git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 14K / month Β· πŸ“¦ 38 Β· ⏱️ 21.10.2020): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 41K / month Β· πŸ“¦ 62 Β· ⏱️ 03.06.2021): ``` - pip install dyNET + pip install pytorch-ignite + ``` +- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 62K Β· ⏱️ 03.03.2021): + ``` + conda install -c pytorch ignite ```
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Flax (πŸ₯‰28 Β· ⭐ 1.7K) - Flax is a neural network library for JAX that is designed for.. Apache-2 jax +
Flax (πŸ₯ˆ29 Β· ⭐ 1.8K) - Flax is a neural network library for JAX that is designed for.. Apache-2 jax -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 200 Β· πŸ“₯ 23 Β· πŸ“¦ 150 Β· πŸ“‹ 350 - 41% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 210 Β· πŸ“₯ 23 Β· πŸ“¦ 190 Β· πŸ“‹ 370 - 43% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 290K / month Β· πŸ“¦ 6 Β· ⏱️ 31.03.2021): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 380K / month Β· πŸ“¦ 6 Β· ⏱️ 18.05.2021): ``` pip install flax ```
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skorch (πŸ₯‰27 Β· ⭐ 3.9K) - A scikit-learn compatible neural network library that wraps.. BSD-3 +
skorch (πŸ₯‰27 Β· ⭐ 4K) - A scikit-learn compatible neural network library that wraps.. BSD-3 -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“¦ 310 Β· πŸ“‹ 380 - 12% open Β· ⏱️ 29.04.2021): +- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 280 Β· πŸ“¦ 330 Β· πŸ“‹ 380 - 11% open Β· ⏱️ 30.05.2021): ``` git clone https://github.com/skorch-dev/skorch @@ -475,115 +463,127 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install skorch ``` -- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 260K Β· ⏱️ 24.03.2021): +- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 270K Β· ⏱️ 24.03.2021): ``` conda install -c conda-forge skorch ```
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Jina (πŸ₯‰27 Β· ⭐ 3.3K) - An easier way to build neural search on the cloud. Apache-2 +
dyNET (πŸ₯‰27 Β· ⭐ 3.2K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 -- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 430 Β· πŸ“¦ 59 Β· πŸ“‹ 800 - 9% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 700 Β· πŸ“₯ 3.1K Β· πŸ“¦ 180 Β· πŸ“‹ 920 - 28% open Β· ⏱️ 27.01.2021): ``` - git clone https://github.com/jina-ai/jina + git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 10K / month Β· ⏱️ 12.05.2021): +- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 21K / month Β· πŸ“¦ 38 Β· ⏱️ 21.10.2020): ``` - pip install jina + pip install dyNET + ``` +
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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“₯ 4.3K Β· πŸ“¦ 250 Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 31.03.2021): + + ``` + git clone https://github.com/apple/turicreate ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 480K Β· ⭐ 2 Β· ⏱️ 12.05.2021): +- [PyPi](https://pypi.org/project/turicreate) (πŸ“₯ 29K / month Β· πŸ“¦ 34 Β· ⏱️ 30.09.2020): ``` - docker pull jinaai/jina + pip install turicreate ```
Ludwig (πŸ₯‰26 Β· ⭐ 7.7K) - Ludwig is a toolbox that allows to train and evaluate deep.. Apache-2 -- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 890 Β· πŸ“¦ 86 Β· πŸ“‹ 540 - 21% open Β· ⏱️ 05.05.2021): +- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 890 Β· πŸ“¦ 86 Β· πŸ“‹ 550 - 21% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 2.2K / month Β· πŸ“¦ 12 Β· ⏱️ 01.02.2021): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 2.5K / month Β· πŸ“¦ 12 Β· ⏱️ 01.02.2021): ``` pip install ludwig ```
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Turi Create (πŸ₯‰25 Β· ⭐ 10K) - Turi Create simplifies the development of custom machine learning.. BSD-3 +
Jina (πŸ₯‰26 Β· ⭐ 3.6K) - An easier way to build neural search on the cloud. Apache-2 -- [GitHub](https://github.com/apple/turicreate) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 1.1K Β· πŸ“₯ 4K Β· πŸ“¦ 240 Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 31.03.2021): +- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 460 Β· πŸ“¦ 64 Β· πŸ“‹ 800 - 7% open Β· ⏱️ 03.06.2021): ``` - git clone https://github.com/apple/turicreate + git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/turicreate) (πŸ“₯ 28K / month Β· πŸ“¦ 34 Β· ⏱️ 30.09.2020): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 8K / month Β· ⏱️ 03.06.2021): ``` - pip install turicreate + pip install jina + ``` +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 510K Β· ⭐ 3 Β· ⏱️ 03.06.2021): + ``` + docker pull jinaai/jina ```
mlpack (πŸ₯‰25 Β· ⭐ 3.7K) - mlpack: a scalable C++ machine learning library --. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1.3K Β· πŸ“‹ 1.4K - 11% open Β· ⏱️ 09.05.2021): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1.3K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 30.05.2021): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 270 / month Β· ⏱️ 28.10.2020): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 1.1K / month Β· ⏱️ 28.10.2020): ``` pip install mlpack ``` -- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 74K Β· ⏱️ 29.10.2020): +- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 76K Β· ⏱️ 29.10.2020): ``` conda install -c conda-forge mlpack ```
Neural Network Libraries (πŸ₯‰25 Β· ⭐ 2.5K) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 300 Β· πŸ“₯ 520 Β· πŸ“‹ 60 - 50% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 300 Β· πŸ“₯ 520 Β· πŸ“‹ 61 - 49% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 2.1K / month Β· πŸ“¦ 34 Β· ⏱️ 13.04.2021): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 2.7K / month Β· πŸ“¦ 34 Β· ⏱️ 13.04.2021): ``` pip install nnabla ```
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ktrain (πŸ₯‰25 Β· ⭐ 810) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 +
ktrain (πŸ₯‰25 Β· ⭐ 830) - 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”€ 190 Β· πŸ“¦ 160 Β· πŸ“‹ 340 - 2% open Β· ⏱️ 26.03.2021): +- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 200 Β· πŸ“¦ 180 Β· πŸ“‹ 350 - 2% open Β· ⏱️ 19.05.2021): ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 20K / month Β· πŸ“¦ 1 Β· ⏱️ 26.03.2021): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 19K / month Β· πŸ“¦ 2 Β· ⏱️ 19.05.2021): ``` pip install ktrain ```
tensorflow-upstream (πŸ₯‰25 Β· ⭐ 560) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 3.7K Β· πŸ”€ 66 Β· πŸ“₯ 16 Β· πŸ“‹ 300 - 18% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 3.7K Β· πŸ”€ 66 Β· πŸ“₯ 16 Β· πŸ“‹ 300 - 18% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 1.8K / month Β· ⏱️ 29.03.2021): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 1.4K / month Β· ⏱️ 21.05.2021): ``` pip install tensorflow-rocm ```
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einops (πŸ₯‰24 Β· ⭐ 3K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and others). MIT +
einops (πŸ₯‰24 Β· ⭐ 3.1K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 100 Β· πŸ“¦ 520 Β· πŸ“‹ 68 - 32% open Β· ⏱️ 03.05.2021): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 120 Β· πŸ“¦ 590 Β· πŸ“‹ 69 - 33% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 91K / month Β· πŸ“¦ 10 Β· ⏱️ 08.09.2020): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 100K / month Β· πŸ“¦ 10 Β· ⏱️ 08.09.2020): ``` pip install einops ``` -- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 4.8K Β· ⏱️ 15.10.2020): +- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 5.1K Β· ⏱️ 15.10.2020): ``` conda install -c conda-forge einops ``` @@ -595,19 +595,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 11K / month Β· ⏱️ 09.02.2021): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 9.2K / month Β· ⏱️ 09.02.2021): ``` pip install fklearn ```
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SHOGUN (πŸ₯‰23 Β· ⭐ 2.8K) - Unified and efficient Machine Learning. BSD-3 +
SHOGUN (πŸ₯‰22 Β· ⭐ 2.8K) - Unified and efficient Machine Learning. BSD-3 - [GitHub](https://github.com/shogun-toolbox/shogun) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1K Β· πŸ“‹ 1.5K - 30% open Β· ⏱️ 08.12.2020): ``` git clone https://github.com/shogun-toolbox/shogun ``` -- [Conda](https://anaconda.org/conda-forge/shogun) (πŸ“₯ 99K Β· ⏱️ 25.06.2018): +- [Conda](https://anaconda.org/conda-forge/shogun) (πŸ“₯ 100K Β· ⏱️ 25.06.2018): ``` conda install -c conda-forge shogun ``` @@ -618,19 +618,19 @@ _General-purpose machine learning and deep learning frameworks._
Neural Tangents (πŸ₯‰22 Β· ⭐ 1.4K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 160 Β· πŸ“₯ 110 Β· πŸ“¦ 14 Β· πŸ“‹ 87 - 32% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 160 Β· πŸ“₯ 110 Β· πŸ“¦ 18 Β· πŸ“‹ 88 - 31% open Β· ⏱️ 13.05.2021): ``` git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 500 / month Β· ⏱️ 25.01.2021): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 480 / month Β· ⏱️ 25.01.2021): ``` pip install neural-tangents ```
mace (πŸ₯‰21 Β· ⭐ 4.4K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 -- [GitHub](https://github.com/XiaoMi/mace) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 760 Β· πŸ“₯ 1.3K Β· πŸ“‹ 640 - 6% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/XiaoMi/mace) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 770 Β· πŸ“₯ 1.4K Β· πŸ“‹ 640 - 6% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/XiaoMi/mace @@ -638,75 +638,75 @@ _General-purpose machine learning and deep learning frameworks._
Haiku (πŸ₯‰21 Β· ⭐ 1.1K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 77 Β· πŸ“¦ 86 Β· πŸ“‹ 82 - 24% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 78 Β· πŸ“¦ 98 Β· πŸ“‹ 88 - 22% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/deepmind/dm-haiku ```
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Torchbearer (πŸ₯‰21 Β· ⭐ 600) - torchbearer: A model fitting library for PyTorch. MIT +
Objax (πŸ₯‰21 Β· ⭐ 600) - Objax is a machine learning framework that provides an Object.. Apache-2 jax -- [GitHub](https://github.com/pytorchbearer/torchbearer) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 64 Β· πŸ“¦ 46 Β· πŸ“‹ 240 - 3% open Β· ⏱️ 26.03.2021): +- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 47 Β· πŸ“¦ 13 Β· πŸ“‹ 93 - 43% open Β· ⏱️ 21.04.2021): ``` - git clone https://github.com/pytorchbearer/torchbearer + git clone https://github.com/google/objax ``` -- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 3.5K / month Β· πŸ“¦ 6 Β· ⏱️ 31.01.2020): +- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 6.7K / month Β· ⏱️ 01.04.2021): ``` - pip install torchbearer + pip install objax ```
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Objax (πŸ₯‰20 Β· ⭐ 590) - Objax is a machine learning framework that provides an Object.. Apache-2 jax +
ThunderSVM (πŸ₯‰19 Β· ⭐ 1.3K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 -- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 47 Β· πŸ“¦ 12 Β· πŸ“‹ 93 - 43% open Β· ⏱️ 21.04.2021): +- [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 170 Β· πŸ“₯ 2.2K Β· πŸ“‹ 200 - 25% open Β· ⏱️ 10.02.2021): ``` - git clone https://github.com/google/objax + git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 540 / month Β· ⏱️ 01.04.2021): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 480 / month Β· ⏱️ 13.03.2020): ``` - pip install objax + pip install thundersvm ```
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ThunderSVM (πŸ₯‰19 Β· ⭐ 1.3K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 +
Torchbearer (πŸ₯‰19 Β· ⭐ 600) - torchbearer: A model fitting library for PyTorch. MIT -- [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 170 Β· πŸ“₯ 2.2K Β· πŸ“‹ 190 - 25% open Β· ⏱️ 10.02.2021): +- [GitHub](https://github.com/pytorchbearer/torchbearer) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 66 Β· πŸ“¦ 48 Β· πŸ“‹ 240 - 3% open Β· ⏱️ 26.03.2021): ``` - git clone https://github.com/Xtra-Computing/thundersvm + git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 550 / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 1K / month Β· πŸ“¦ 6 Β· ⏱️ 31.01.2020): ``` - pip install thundersvm + pip install torchbearer ```
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elegy (πŸ₯‰17 Β· ⭐ 210) - Elegy is a framework-agnostic Trainer interface for the Jax.. Apache-2 jax +
elegy (πŸ₯‰17 Β· ⭐ 220) - Elegy is a framework-agnostic Trainer interface for the Jax.. Apache-2 jax -- [GitHub](https://github.com/poets-ai/elegy) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 12 Β· πŸ“‹ 58 - 36% open Β· ⏱️ 01.04.2021): +- [GitHub](https://github.com/poets-ai/elegy) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 12 Β· πŸ“‹ 59 - 35% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/poets-ai/elegy ``` -- [PyPi](https://pypi.org/project/elegy) (πŸ“₯ 610 / month Β· ⏱️ 01.03.2021): +- [PyPi](https://pypi.org/project/elegy) (πŸ“₯ 380 / month Β· ⏱️ 01.06.2021): ``` pip install elegy ```
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ThunderGBM (πŸ₯‰16 Β· ⭐ 590) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 +
ThunderGBM (πŸ₯‰16 Β· ⭐ 600) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 -- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 75 Β· πŸ“‹ 49 - 42% open Β· ⏱️ 05.01.2021): +- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 75 Β· πŸ“‹ 50 - 44% open Β· ⏱️ 05.01.2021): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 91 / month Β· ⏱️ 01.05.2020): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 69 / month Β· ⏱️ 01.05.2020): ``` pip install thundergbm ```
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NeoML (πŸ₯‰14 Β· ⭐ 580) - Machine learning framework for both deep learning and traditional.. Apache-2 +
NeoML (πŸ₯‰14 Β· ⭐ 590) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 83 Β· πŸ“‹ 49 - 73% open Β· ⏱️ 30.04.2021): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 86 Β· πŸ“‹ 49 - 73% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/neoml-lib/neoml @@ -716,11 +716,11 @@ _General-purpose machine learning and deep learning frameworks._ - dlib (πŸ₯ˆ32 Β· ⭐ 10K) - 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₯‰25 Β· ⭐ 6.2K Β· πŸ’€) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 +- NuPIC (πŸ₯‰24 Β· ⭐ 6.2K 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 -- NeuPy (πŸ₯‰23 Β· ⭐ 680 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT -- neon (πŸ₯‰22 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 +- neon (πŸ₯‰23 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 +- NeuPy (πŸ₯‰22 Β· ⭐ 680 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - MindsDB (πŸ₯‰20 Β· ⭐ 3.7K) - Predictive AI layer for existing databases. ❗️GPL-3.0 - StarSpace (πŸ₯‰14 Β· ⭐ 3.6K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT
@@ -734,23 +734,23 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (πŸ₯‡41 Β· ⭐ 14K) - matplotlib: plotting with Python. Python-2.0 -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.8K Β· πŸ“¦ 370K Β· πŸ“‹ 7.9K - 21% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.8K Β· πŸ“¦ 380K Β· πŸ“‹ 7.9K - 20% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 20M / month Β· πŸ“¦ 79K Β· ⏱️ 08.05.2021): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 21M / month Β· πŸ“¦ 79K Β· ⏱️ 08.05.2021): ``` pip install matplotlib ``` -- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 8.8M Β· ⏱️ 10.05.2021): +- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 9M Β· ⏱️ 10.05.2021): ``` conda install -c conda-forge matplotlib ```
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Seaborn (πŸ₯‡37 Β· ⭐ 8.4K) - Statistical data visualization using matplotlib. BSD-3 +
Seaborn (πŸ₯‡37 Β· ⭐ 8.5K) - Statistical data visualization using matplotlib. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.4K Β· πŸ“₯ 160 Β· πŸ“¦ 95K Β· πŸ“‹ 1.9K - 5% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.4K Β· πŸ“₯ 160 Β· πŸ“¦ 98K Β· πŸ“‹ 1.9K - 4% open Β· ⏱️ 14.05.2021): ``` git clone https://github.com/mwaskom/seaborn @@ -759,19 +759,19 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install seaborn ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 2.3M Β· ⏱️ 28.01.2021): +- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 2.4M Β· ⏱️ 28.01.2021): ``` conda install -c conda-forge seaborn ```
-
Plotly (πŸ₯‡36 Β· ⭐ 9.5K) - The interactive graphing library for Python (includes Plotly Express). MIT +
Plotly (πŸ₯‡36 Β· ⭐ 9.6K) - The interactive graphing library for Python (includes Plotly Express). MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.8K Β· πŸ“¦ 5 Β· πŸ“‹ 2K - 44% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.8K Β· πŸ“¦ 5 Β· πŸ“‹ 2K - 44% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 5.3M / month Β· πŸ“¦ 5K Β· ⏱️ 12.01.2021): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 5.4M / month Β· πŸ“¦ 5K Β· ⏱️ 31.05.2021): ``` pip install plotly ``` @@ -779,19 +779,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge plotly ``` -- [NPM](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 35K / month Β· πŸ“¦ 4 Β· ⏱️ 12.01.2021): +- [NPM](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 36K / month Β· πŸ“¦ 4 Β· ⏱️ 12.01.2021): ``` npm install plotlywidget ```
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dash (πŸ₯‡35 Β· ⭐ 14K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required. MIT +
dash (πŸ₯‡35 Β· ⭐ 15K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 1.5K Β· πŸ“¦ 20K Β· πŸ“‹ 1K - 43% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 1.5K Β· πŸ“¦ 21K Β· πŸ“‹ 1K - 43% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 470K / month Β· πŸ“¦ 1.6K Β· ⏱️ 19.01.2021): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 510K / month Β· πŸ“¦ 1.6K Β· ⏱️ 19.01.2021): ``` pip install dash ``` @@ -802,64 +802,52 @@ _General-purpose and task-specific data visualization libraries._
Bokeh (πŸ₯‡33 Β· ⭐ 15K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 3.7K Β· πŸ“¦ 34K Β· πŸ“‹ 6.6K - 10% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 3.7K Β· πŸ“¦ 35K Β· πŸ“‹ 6.6K - 10% open Β· ⏱️ 29.05.2021): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 1.4M / month Β· πŸ“¦ 5.9K Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 1.5M / month Β· πŸ“¦ 5.9K Β· ⏱️ 10.05.2021): ``` pip install bokeh ``` -- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 4.4M Β· ⏱️ 11.05.2021): +- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 4.6M Β· ⏱️ 11.05.2021): ``` conda install -c conda-forge bokeh ```
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pandas-profiling (πŸ₯ˆ31 Β· ⭐ 7.3K) - Create HTML profiling reports from pandas DataFrame.. MIT +
pandas-profiling (πŸ₯ˆ31 Β· ⭐ 7.4K) - Create HTML profiling reports from pandas DataFrame.. MIT -- [GitHub](https://github.com/pandas-profiling/pandas-profiling) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 1.1K Β· πŸ“¦ 4K Β· πŸ“‹ 460 - 15% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/pandas-profiling/pandas-profiling) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 1.1K Β· πŸ“¦ 4.2K Β· πŸ“‹ 470 - 15% open Β· ⏱️ 16.05.2021): ``` git clone https://github.com/pandas-profiling/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 370K / month Β· πŸ“¦ 160 Β· ⏱️ 11.05.2021): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 420K / month Β· πŸ“¦ 160 Β· ⏱️ 11.05.2021): ``` pip install pandas-profiling ``` -- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 120K Β· ⏱️ 12.05.2021): +- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 130K Β· ⏱️ 12.05.2021): ``` conda install -c conda-forge pandas-profiling ```
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Altair (πŸ₯ˆ31 Β· ⭐ 6.6K) - Declarative statistical visualization library for Python. BSD-3 +
Altair (πŸ₯ˆ31 Β· ⭐ 6.7K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 580 Β· πŸ“¦ 11K Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 04.04.2021): +- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 580 Β· πŸ“¦ 12K Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 04.04.2021): ``` git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 1.5M / month Β· πŸ“¦ 370 Β· ⏱️ 01.04.2020): +- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 1.7M / month Β· πŸ“¦ 370 Β· ⏱️ 01.04.2020): ``` pip install altair ``` -- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 720K Β· ⏱️ 01.04.2020): +- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 740K Β· ⏱️ 01.04.2020): ``` conda install -c conda-forge altair ```
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UMAP (πŸ₯ˆ31 Β· ⭐ 4.7K) - Uniform Manifold Approximation and Projection. BSD-3 - -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 510 Β· πŸ“¦ 2.9K Β· πŸ“‹ 490 - 48% open Β· ⏱️ 03.05.2021): - - ``` - git clone https://github.com/lmcinnes/umap - ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 450K / month Β· πŸ“¦ 230 Β· ⏱️ 08.02.2021): - ``` - pip install umap-learn - ``` -
pyecharts (πŸ₯ˆ30 Β· ⭐ 11K) - Python Echarts Plotting Library. MIT - [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 2.4K Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.4K - 2% open Β· ⏱️ 07.05.2021): @@ -867,7 +855,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 47K / month Β· πŸ“¦ 280 Β· ⏱️ 29.10.2020): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 58K / month Β· πŸ“¦ 280 Β· ⏱️ 29.10.2020): ``` pip install pyecharts ``` @@ -879,23 +867,35 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/amueller/word_cloud ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 420K / month Β· πŸ“¦ 1.1K Β· ⏱️ 11.11.2020): +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 440K / month Β· πŸ“¦ 1.1K Β· ⏱️ 11.11.2020): ``` pip install wordcloud ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 210K Β· ⏱️ 14.01.2021): +- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 220K Β· ⏱️ 14.01.2021): ``` conda install -c conda-forge wordcloud ```
+
UMAP (πŸ₯ˆ30 Β· ⭐ 4.8K) - Uniform Manifold Approximation and Projection. BSD-3 + +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 530 Β· πŸ“¦ 3K Β· πŸ“‹ 510 - 49% open Β· ⏱️ 30.05.2021): + + ``` + git clone https://github.com/lmcinnes/umap + ``` +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 440K / month Β· πŸ“¦ 230 Β· ⏱️ 08.02.2021): + ``` + pip install umap-learn + ``` +
PyQtGraph (πŸ₯ˆ30 Β· ⭐ 2.4K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 820 Β· πŸ“‹ 820 - 34% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 820 Β· πŸ“‹ 840 - 33% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 62K / month Β· πŸ“¦ 890 Β· ⏱️ 07.04.2021): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 66K / month Β· πŸ“¦ 890 Β· ⏱️ 07.04.2021): ``` pip install pyqtgraph ``` @@ -906,80 +906,80 @@ _General-purpose and task-specific data visualization libraries._
HoloViews (πŸ₯ˆ29 Β· ⭐ 1.9K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 310 Β· πŸ“‹ 2.6K - 27% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 320 Β· πŸ“‹ 2.6K - 27% open Β· ⏱️ 28.05.2021): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 110K / month Β· πŸ“¦ 170 Β· ⏱️ 08.04.2021): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 110K / month Β· πŸ“¦ 170 Β· ⏱️ 22.05.2021): ``` pip install holoviews ``` -- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 490K Β· ⏱️ 08.04.2021): +- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 500K Β· ⏱️ 23.05.2021): ``` conda install -c conda-forge holoviews ``` -- [NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 6K / month Β· ⏱️ 24.05.2020): +- [NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 5.3K / month Β· ⏱️ 24.05.2020): ``` npm install @pyviz/jupyterlab_pyviz ```
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Graphviz (πŸ₯ˆ29 Β· ⭐ 990) - Simple Python interface for Graphviz. MIT +
Graphviz (πŸ₯ˆ29 Β· ⭐ 1K) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 140 Β· πŸ“¦ 20K Β· πŸ“‹ 110 - 8% open Β· ⏱️ 01.05.2021): +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 150 Β· πŸ“¦ 21K Β· πŸ“‹ 110 - 8% open Β· ⏱️ 15.05.2021): ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 6M / month Β· πŸ“¦ 4.4K Β· ⏱️ 24.12.2020): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 5.6M / month Β· πŸ“¦ 4.4K Β· ⏱️ 24.12.2020): ``` pip install graphviz ```
bqplot (πŸ₯ˆ28 Β· ⭐ 3.1K) - Plotting library for IPython/Jupyter notebooks. Apache-2 -- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 400 Β· πŸ“¦ 26 Β· πŸ“‹ 530 - 36% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 400 Β· πŸ“¦ 26 Β· πŸ“‹ 530 - 36% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 37K / month Β· πŸ“¦ 110 Β· ⏱️ 08.04.2021): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 48K / month Β· πŸ“¦ 110 Β· ⏱️ 25.05.2021): ``` pip install bqplot ``` -- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 600K Β· ⏱️ 21.04.2021): +- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 630K Β· ⏱️ 26.05.2021): ``` conda install -c conda-forge bqplot ``` -- [NPM](https://www.npmjs.com/package/bqplot) (πŸ“₯ 15K / month Β· πŸ“¦ 10 Β· ⏱️ 21.04.2021): +- [NPM](https://www.npmjs.com/package/bqplot) (πŸ“₯ 15K / month Β· πŸ“¦ 10 Β· ⏱️ 25.05.2021): ``` npm install bqplot ```
missingno (πŸ₯ˆ28 Β· ⭐ 2.8K) - Missing data visualization module for Python. MIT -- [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 350 Β· πŸ“¦ 3.7K Β· πŸ“‹ 110 - 17% open Β· ⏱️ 27.04.2021): +- [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 350 Β· πŸ“¦ 3.9K Β· πŸ“‹ 110 - 17% open Β· ⏱️ 27.04.2021): ``` git clone https://github.com/ResidentMario/missingno ``` -- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 320K / month Β· πŸ“¦ 150 Β· ⏱️ 09.07.2019): +- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 350K / month Β· πŸ“¦ 150 Β· ⏱️ 09.07.2019): ``` pip install missingno ``` -- [Conda](https://anaconda.org/conda-forge/missingno) (πŸ“₯ 91K Β· ⏱️ 15.02.2020): +- [Conda](https://anaconda.org/conda-forge/missingno) (πŸ“₯ 96K Β· ⏱️ 15.02.2020): ``` conda install -c conda-forge missingno ```
datashader (πŸ₯ˆ28 Β· ⭐ 2.5K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 320 Β· πŸ“¦ 680 Β· πŸ“‹ 470 - 26% open Β· ⏱️ 13.04.2021): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 320 Β· πŸ“¦ 700 Β· πŸ“‹ 480 - 26% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 47K / month Β· πŸ“¦ 70 Β· ⏱️ 16.03.2021): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 44K / month Β· πŸ“¦ 70 Β· ⏱️ 25.05.2021): ``` pip install datashader ``` @@ -990,80 +990,80 @@ _General-purpose and task-specific data visualization libraries._
Perspective (πŸ₯ˆ27 Β· ⭐ 3.4K) - Streaming pivot visualization via WebAssembly. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 370 Β· πŸ“¦ 190 Β· πŸ“‹ 410 - 15% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 370 Β· πŸ“¦ 190 Β· πŸ“‹ 420 - 16% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 2.3K / month Β· πŸ“¦ 8 Β· ⏱️ 11.05.2021): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 1.9K / month Β· πŸ“¦ 8 Β· ⏱️ 28.05.2021): ``` pip install perspective-python ``` -- [NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 2.3K / month Β· ⏱️ 12.05.2021): +- [NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 2K / month Β· ⏱️ 12.05.2021): ``` npm install @finos/perspective-jupyterlab ```
Cufflinks (πŸ₯ˆ27 Β· ⭐ 2.2K) - Productivity Tools for Plotly + Pandas. MIT -- [GitHub](https://github.com/santosjorge/cufflinks) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 540 Β· πŸ“¦ 3.3K Β· πŸ“‹ 200 - 40% open Β· ⏱️ 25.02.2021): +- [GitHub](https://github.com/santosjorge/cufflinks) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 540 Β· πŸ“¦ 3.5K Β· πŸ“‹ 200 - 40% open Β· ⏱️ 25.02.2021): ``` git clone https://github.com/santosjorge/cufflinks ``` -- [PyPi](https://pypi.org/project/cufflinks) (πŸ“₯ 110K / month Β· πŸ“¦ 230 Β· ⏱️ 01.03.2020): +- [PyPi](https://pypi.org/project/cufflinks) (πŸ“₯ 120K / month Β· πŸ“¦ 230 Β· ⏱️ 01.03.2020): ``` pip install cufflinks ```
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PyVista (πŸ₯ˆ27 Β· ⭐ 800) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT +
PyVista (πŸ₯ˆ27 Β· ⭐ 820) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 160 Β· πŸ“₯ 75 Β· πŸ“¦ 330 Β· πŸ“‹ 460 - 31% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 160 Β· πŸ“₯ 77 Β· πŸ“¦ 340 Β· πŸ“‹ 470 - 30% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 32K / month Β· πŸ“¦ 26 Β· ⏱️ 11.05.2021): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 35K / month Β· πŸ“¦ 26 Β· ⏱️ 11.05.2021): ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 83K Β· ⏱️ 11.05.2021): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 87K Β· ⏱️ 11.05.2021): ``` conda install -c conda-forge pyvista ```
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data-validation (πŸ₯ˆ27 Β· ⭐ 540) - Library for exploring and validating machine learning.. Apache-2 +
data-validation (πŸ₯ˆ27 Β· ⭐ 550) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 97 Β· πŸ“₯ 220 Β· πŸ“¦ 270 Β· πŸ“‹ 120 - 30% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 99 Β· πŸ“₯ 230 Β· πŸ“¦ 280 Β· πŸ“‹ 120 - 29% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/tensorflow/data-validation ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 6.6M / month Β· πŸ“¦ 18 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 5.9M / month Β· πŸ“¦ 18 Β· ⏱️ 24.05.2021): ``` pip install tensorflow-data-validation ```
Facets Overview (πŸ₯‰26 Β· ⭐ 6.6K) - Visualizations for machine learning datasets. Apache-2 -- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 830 Β· πŸ“¦ 46 Β· πŸ“‹ 150 - 50% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 830 Β· πŸ“¦ 53 Β· πŸ“‹ 150 - 50% open Β· ⏱️ 06.05.2021): ``` git clone https://github.com/pair-code/facets ``` -- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 81K / month Β· πŸ“¦ 6 Β· ⏱️ 24.07.2019): +- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 91K / month Β· πŸ“¦ 6 Β· ⏱️ 24.07.2019): ``` pip install facets-overview ```
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VisPy (πŸ₯‰26 Β· ⭐ 2.6K) - High-performance interactive 2D/3D data visualization library. BSD-3 +
VisPy (πŸ₯‰25 Β· ⭐ 2.7K) - High-performance interactive 2D/3D data visualization library. BSD-3 -- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 550 Β· πŸ“¦ 500 Β· πŸ“‹ 1.2K - 30% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 550 Β· πŸ“¦ 510 Β· πŸ“‹ 1.2K - 29% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 37K / month Β· πŸ“¦ 120 Β· ⏱️ 28.11.2020): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 32K / month Β· πŸ“¦ 120 Β· ⏱️ 28.11.2020): ``` pip install vispy ``` @@ -1071,19 +1071,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge vispy ``` -- [NPM](https://www.npmjs.com/package/vispy) (πŸ“₯ 68 / month Β· ⏱️ 15.03.2020): +- [NPM](https://www.npmjs.com/package/vispy) (πŸ“₯ 50 / month Β· ⏱️ 15.03.2020): ``` npm install vispy ```
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pythreejs (πŸ₯‰26 Β· ⭐ 730) - A Jupyter - Three.js bridge. BSD-3 +
pythreejs (πŸ₯‰25 Β· ⭐ 730) - A Jupyter - Three.js bridge. BSD-3 -- [GitHub](https://github.com/jupyter-widgets/pythreejs) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“¦ 15 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“¦ 17 Β· πŸ“‹ 200 - 30% open Β· ⏱️ 26.02.2021): ``` git clone https://github.com/jupyter-widgets/pythreejs ``` -- [PyPi](https://pypi.org/project/pythreejs) (πŸ“₯ 26K / month Β· πŸ“¦ 26 Β· ⏱️ 26.02.2021): +- [PyPi](https://pypi.org/project/pythreejs) (πŸ“₯ 29K / month Β· πŸ“¦ 26 Β· ⏱️ 26.02.2021): ``` pip install pythreejs ``` @@ -1091,111 +1091,111 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge pythreejs ``` -- [NPM](https://www.npmjs.com/package/jupyter-threejs) (πŸ“₯ 9.1K / month Β· πŸ“¦ 8 Β· ⏱️ 26.02.2021): +- [NPM](https://www.npmjs.com/package/jupyter-threejs) (πŸ“₯ 7.9K / month Β· πŸ“¦ 8 Β· ⏱️ 26.02.2021): ``` npm install jupyter-threejs ```
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HyperTools (πŸ₯‰25 Β· ⭐ 1.6K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT +
hvPlot (πŸ₯‰25 Β· ⭐ 400) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“¦ 120 Β· πŸ“‹ 190 - 35% open Β· ⏱️ 06.01.2021): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 57 Β· πŸ“¦ 610 Β· πŸ“‹ 370 - 32% open Β· ⏱️ 27.05.2021): ``` - git clone https://github.com/ContextLab/hypertools + git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 8.3K / month Β· πŸ“¦ 9 Β· ⏱️ 02.10.2020): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 25K / month Β· πŸ“¦ 30 Β· ⏱️ 22.05.2021): ``` - pip install hypertools + pip install hvplot + ``` +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 90K Β· ⏱️ 23.05.2021): + ``` + conda install -c conda-forge hvplot ```
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PDPbox (πŸ₯‰25 Β· ⭐ 570) - python partial dependence plot toolbox. MIT +
D-Tale (πŸ₯‰24 Β· ⭐ 2.4K) - Visualizer for pandas data structures. ❗️LGPL-2.1 -- [GitHub](https://github.com/SauceCat/PDPbox) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 88 Β· πŸ“¦ 380 Β· πŸ“‹ 57 - 33% open Β· ⏱️ 14.03.2021): +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 190 Β· πŸ“¦ 160 Β· πŸ“‹ 360 - 10% open Β· ⏱️ 01.06.2021): ``` - git clone https://github.com/SauceCat/PDPbox + git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 72K / month Β· πŸ“¦ 34 Β· ⏱️ 14.03.2021): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 12K / month Β· ⏱️ 29.05.2021): ``` - pip install pdpbox + pip install dtale ``` -- [Conda](https://anaconda.org/conda-forge/pdpbox) (πŸ“₯ 7.3K Β· ⏱️ 14.03.2021): +- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 59K Β· ⏱️ 29.05.2021): ``` - conda install -c conda-forge pdpbox + conda install -c conda-forge dtale ```
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hvPlot (πŸ₯‰25 Β· ⭐ 390) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 +
HyperTools (πŸ₯‰24 Β· ⭐ 1.6K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 54 Β· πŸ“¦ 590 Β· πŸ“‹ 360 - 35% open Β· ⏱️ 27.04.2021): +- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“¦ 120 Β· πŸ“‹ 190 - 35% open Β· ⏱️ 06.01.2021): ``` - git clone https://github.com/holoviz/hvplot - ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 30K / month Β· πŸ“¦ 30 Β· ⏱️ 14.04.2021): - ``` - pip install hvplot + git clone https://github.com/ContextLab/hypertools ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 85K Β· ⏱️ 04.03.2021): +- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 1.8K / month Β· πŸ“¦ 9 Β· ⏱️ 02.10.2020): ``` - conda install -c conda-forge hvplot + pip install hypertools ```
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Chartify (πŸ₯‰24 Β· ⭐ 2.9K) - Python library that makes it easy for data scientists to create.. Apache-2 +
openTSNE (πŸ₯‰24 Β· ⭐ 840) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 260 Β· πŸ“¦ 53 Β· πŸ“‹ 70 - 57% open Β· ⏱️ 05.02.2021): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 88 Β· πŸ“¦ 220 Β· πŸ“‹ 92 - 6% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/spotify/chartify + git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2.5K / month Β· πŸ“¦ 5 Β· ⏱️ 02.11.2020): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 26K / month Β· πŸ“¦ 4 Β· ⏱️ 25.04.2021): ``` - pip install chartify + pip install opentsne ``` -- [Conda](https://anaconda.org/conda-forge/chartify) (πŸ“₯ 14K Β· ⏱️ 07.11.2020): +- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 100K Β· ⏱️ 28.05.2021): ``` - conda install -c conda-forge chartify + conda install -c conda-forge opentsne ```
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D-Tale (πŸ₯‰24 Β· ⭐ 2.3K) - Visualizer for pandas data structures. ❗️LGPL-2.1 +
PDPbox (πŸ₯‰24 Β· ⭐ 570) - python partial dependence plot toolbox. MIT -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 180 Β· πŸ“¦ 150 Β· πŸ“‹ 330 - 6% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/SauceCat/PDPbox) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 88 Β· πŸ“¦ 390 Β· πŸ“‹ 57 - 33% open Β· ⏱️ 14.03.2021): ``` - git clone https://github.com/man-group/dtale + git clone https://github.com/SauceCat/PDPbox ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 12K / month Β· ⏱️ 05.05.2021): +- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 68K / month Β· πŸ“¦ 34 Β· ⏱️ 14.03.2021): ``` - pip install dtale + pip install pdpbox ``` -- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 55K Β· ⏱️ 05.05.2021): +- [Conda](https://anaconda.org/conda-forge/pdpbox) (πŸ“₯ 7.6K Β· ⏱️ 14.03.2021): ``` - conda install -c conda-forge dtale + conda install -c conda-forge pdpbox ```
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openTSNE (πŸ₯‰24 Β· ⭐ 800) - Extensible, parallel implementations of t-SNE. BSD-3 +
Chartify (πŸ₯‰23 Β· ⭐ 2.9K) - Python library that makes it easy for data scientists to create.. Apache-2 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 84 Β· πŸ“¦ 210 Β· πŸ“‹ 89 - 8% open Β· ⏱️ 25.04.2021): +- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 260 Β· πŸ“¦ 53 Β· πŸ“‹ 70 - 57% open Β· ⏱️ 05.02.2021): ``` - git clone https://github.com/pavlin-policar/openTSNE + git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 18K / month Β· πŸ“¦ 4 Β· ⏱️ 25.04.2021): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2.1K / month Β· πŸ“¦ 5 Β· ⏱️ 02.11.2020): ``` - pip install opentsne + pip install chartify ``` -- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 95K Β· ⏱️ 26.04.2021): +- [Conda](https://anaconda.org/conda-forge/chartify) (πŸ“₯ 14K Β· ⏱️ 07.11.2020): ``` - conda install -c conda-forge opentsne + conda install -c conda-forge chartify ```
PandasGUI (πŸ₯‰23 Β· ⭐ 2.2K) - A GUI for Pandas DataFrames. MIT -- [GitHub](https://github.com/adamerose/PandasGUI) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 120 Β· πŸ“¦ 65 Β· πŸ“‹ 110 - 22% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/adamerose/PandasGUI) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 130 Β· πŸ“¦ 73 Β· πŸ“‹ 110 - 21% open Β· ⏱️ 18.05.2021): ``` git clone https://github.com/adamerose/pandasgui ``` -- [PyPi](https://pypi.org/project/pandasgui) (πŸ“₯ 3.9K / month Β· πŸ“¦ 2 Β· ⏱️ 07.03.2021): +- [PyPi](https://pypi.org/project/pandasgui) (πŸ“₯ 6.4K / month Β· πŸ“¦ 2 Β· ⏱️ 07.03.2021): ``` pip install pandasgui ``` @@ -1207,67 +1207,63 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 5.3K / month Β· πŸ“¦ 28 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 5.7K / month Β· πŸ“¦ 28 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 7.3K Β· ⏱️ 23.04.2021): +- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 7.8K Β· ⏱️ 23.04.2021): ``` conda install -c conda-forge multicore-tsne ```
-
Pandas-Bokeh (πŸ₯‰23 Β· ⭐ 670) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT +
Pandas-Bokeh (πŸ₯‰23 Β· ⭐ 690) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT -- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 83 Β· πŸ“¦ 170 Β· πŸ“‹ 78 - 24% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 83 Β· πŸ“¦ 180 Β· πŸ“‹ 81 - 25% open Β· ⏱️ 10.05.2021): ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` -- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 8.4K / month Β· πŸ“¦ 10 Β· ⏱️ 11.04.2021): +- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 7.2K / month Β· πŸ“¦ 10 Β· ⏱️ 11.04.2021): ``` pip install pandas-bokeh ```
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python-ternary (πŸ₯‰23 Β· ⭐ 410) - Ternary plotting library for python with matplotlib. MIT +
python-ternary (πŸ₯‰23 Β· ⭐ 420) - Ternary plotting library for python with matplotlib. MIT -- [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 110 Β· πŸ“₯ 14 Β· πŸ“¦ 65 Β· πŸ“‹ 110 - 22% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 14 Β· πŸ“¦ 66 Β· πŸ“‹ 110 - 22% open Β· ⏱️ 22.05.2021): ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 4.2K / month Β· πŸ“¦ 20 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 4.6K / month Β· πŸ“¦ 20 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` -- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 53K Β· ⏱️ 17.02.2021): +- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 54K Β· ⏱️ 17.02.2021): ``` conda install -c conda-forge python-ternary ```
-
joypy (πŸ₯‰22 Β· ⭐ 330) - Joyplots in Python with matplotlib & pandas. MIT +
lets-plot (πŸ₯‰22 Β· ⭐ 620 Β· πŸ“ˆ) - An open-source plotting library for statistical data. MIT -- [GitHub](https://github.com/sbebo/joypy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 35 Β· πŸ“¦ 74 Β· πŸ“‹ 41 - 12% open Β· ⏱️ 02.04.2021): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 23 Β· πŸ“₯ 67 Β· πŸ“¦ 10 Β· πŸ“‹ 170 - 42% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/sbebo/joypy - ``` -- [PyPi](https://pypi.org/project/joypy) (πŸ“₯ 19K / month Β· πŸ“¦ 6 Β· ⏱️ 28.12.2020): - ``` - pip install joypy + git clone https://github.com/JetBrains/lets-plot ``` -- [Conda](https://anaconda.org/conda-forge/joypy) (πŸ“₯ 9.4K Β· ⏱️ 28.12.2020): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 4.3K / month Β· ⏱️ 02.06.2021): ``` - conda install -c conda-forge joypy + pip install lets-plot ```
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vega (πŸ₯‰22 Β· ⭐ 300) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 +
vega (πŸ₯‰22 Β· ⭐ 310) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 -- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 44 Β· πŸ“‹ 87 - 9% open Β· ⏱️ 03.05.2021): +- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 44 Β· πŸ“‹ 88 - 10% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 21K / month Β· πŸ“¦ 150 Β· ⏱️ 15.05.2020): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 29K / month Β· πŸ“¦ 150 Β· ⏱️ 15.05.2020): ``` pip install vega ``` @@ -1278,47 +1274,51 @@ _General-purpose and task-specific data visualization libraries._
Sweetviz (πŸ₯‰21 Β· ⭐ 1.6K) - Visualize and compare datasets, target values and associations, with one.. MIT -- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 160 Β· πŸ“‹ 78 - 29% open Β· ⏱️ 01.04.2021): +- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 170 Β· πŸ“‹ 81 - 27% open Β· ⏱️ 28.05.2021): ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 29K / month Β· ⏱️ 01.04.2021): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 30K / month Β· ⏱️ 27.05.2021): ``` pip install sweetviz ```
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HiPlot (πŸ₯‰20 Β· ⭐ 2.1K) - HiPlot makes understanding high dimensional data easy. MIT +
joypy (πŸ₯‰21 Β· ⭐ 330) - Joyplots in Python with matplotlib & pandas. MIT -- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 95 Β· πŸ“¦ 2 Β· πŸ“‹ 65 - 15% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/sbebo/joypy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 35 Β· πŸ“¦ 77 Β· πŸ“‹ 41 - 12% open Β· ⏱️ 02.04.2021): ``` - git clone https://github.com/facebookresearch/hiplot + git clone https://github.com/sbebo/joypy ``` -- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 7.8K / month Β· ⏱️ 07.05.2021): +- [PyPi](https://pypi.org/project/joypy) (πŸ“₯ 22K / month Β· πŸ“¦ 6 Β· ⏱️ 28.12.2020): ``` - pip install hiplot + pip install joypy ``` -- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 54K Β· ⏱️ 24.03.2021): +- [Conda](https://anaconda.org/conda-forge/joypy) (πŸ“₯ 9.6K Β· ⏱️ 28.12.2020): ``` - conda install -c conda-forge hiplot + conda install -c conda-forge joypy ```
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lets-plot (πŸ₯‰20 Β· ⭐ 610) - An open-source plotting library for statistical data. MIT +
HiPlot (πŸ₯‰20 Β· ⭐ 2.1K) - HiPlot makes understanding high dimensional data easy. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 20 Β· πŸ“₯ 59 Β· πŸ“¦ 8 Β· πŸ“‹ 160 - 40% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 95 Β· πŸ“¦ 2 Β· πŸ“‹ 66 - 16% open Β· ⏱️ 28.05.2021): ``` - git clone https://github.com/JetBrains/lets-plot + git clone https://github.com/facebookresearch/hiplot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 4.5K / month Β· ⏱️ 14.04.2021): +- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 7.1K / month Β· ⏱️ 28.05.2021): ``` - pip install lets-plot + pip install hiplot + ``` +- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 55K Β· ⏱️ 24.03.2021): + ``` + conda install -c conda-forge hiplot ```
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PyWaffle (πŸ₯‰20 Β· ⭐ 420 Β· πŸ’€) - Make Waffle Charts in Python. MIT +
PyWaffle (πŸ₯‰20 Β· ⭐ 430 Β· πŸ’€) - Make Waffle Charts in Python. MIT -- [GitHub](https://github.com/gyli/PyWaffle) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 67 Β· πŸ“¦ 53 Β· πŸ“‹ 12 - 16% open Β· ⏱️ 26.07.2020): +- [GitHub](https://github.com/gyli/PyWaffle) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 69 Β· πŸ“¦ 61 Β· πŸ“‹ 12 - 16% open Β· ⏱️ 26.07.2020): ``` git clone https://github.com/gyli/PyWaffle @@ -1328,54 +1328,54 @@ _General-purpose and task-specific data visualization libraries._ pip install pywaffle ```
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AutoViz (πŸ₯‰20 Β· ⭐ 350) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 +
FiftyOne (πŸ₯‰20 Β· ⭐ 320) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 58 Β· πŸ“¦ 50 Β· πŸ“‹ 24 - 12% open Β· ⏱️ 21.12.2020): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 27 Β· πŸ“¦ 1 Β· πŸ“‹ 420 - 30% open Β· ⏱️ 03.06.2021): ``` - git clone https://github.com/AutoViML/AutoViz + git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 4.2K / month Β· ⏱️ 10.12.2020): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 3.2K / month Β· ⏱️ 18.05.2021): ``` - pip install autoviz + pip install fiftyone ```
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FiftyOne (πŸ₯‰20 Β· ⭐ 280) - Visualize, create, and debug image and video datasets.. Apache-2 +
ivis (πŸ₯‰20 Β· ⭐ 230) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 25 Β· πŸ“¦ 1 Β· πŸ“‹ 410 - 31% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 24 Β· πŸ“¦ 15 Β· πŸ“‹ 45 - 4% open Β· ⏱️ 01.06.2021): ``` - git clone https://github.com/voxel51/fiftyone + git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 1.3K / month Β· ⏱️ 12.05.2021): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 310 / month Β· ⏱️ 26.05.2021): ``` - pip install fiftyone + pip install ivis ```
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ivis (πŸ₯‰20 Β· ⭐ 230) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 +
AutoViz (πŸ₯‰19 Β· ⭐ 370) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 23 Β· πŸ“¦ 15 Β· πŸ“‹ 44 - 4% open Β· ⏱️ 02.05.2021): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 66 Β· πŸ“¦ 55 Β· πŸ“‹ 26 - 19% open Β· ⏱️ 21.12.2020): ``` - git clone https://github.com/beringresearch/ivis + git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 560 / month Β· ⏱️ 15.04.2021): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 3.9K / month Β· ⏱️ 10.12.2020): ``` - pip install ivis + pip install autoviz ```
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animatplot (πŸ₯‰19 Β· ⭐ 360 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT +
animatplot (πŸ₯‰19 Β· ⭐ 370 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT -- [GitHub](https://github.com/t-makaro/animatplot) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 32 Β· πŸ“¦ 14 Β· πŸ“‹ 33 - 51% open Β· ⏱️ 05.10.2020): +- [GitHub](https://github.com/t-makaro/animatplot) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 33 Β· πŸ“¦ 16 Β· πŸ“‹ 33 - 51% open Β· ⏱️ 05.10.2020): ``` git clone https://github.com/t-makaro/animatplot ``` -- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 590 / month Β· πŸ“¦ 2 Β· ⏱️ 05.10.2020): +- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 370 / month Β· πŸ“¦ 2 Β· ⏱️ 05.10.2020): ``` pip install animatplot ``` -- [Conda](https://anaconda.org/conda-forge/animatplot) (πŸ“₯ 5.7K Β· ⏱️ 06.10.2020): +- [Conda](https://anaconda.org/conda-forge/animatplot) (πŸ“₯ 5.8K Β· ⏱️ 06.10.2020): ``` conda install -c conda-forge animatplot ``` @@ -1387,7 +1387,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/data-describe/data-describe ``` -- [PyPi](https://pypi.org/project/data-describe) (πŸ“₯ 200 / month Β· ⏱️ 03.12.2020): +- [PyPi](https://pypi.org/project/data-describe) (πŸ“₯ 190 / month Β· ⏱️ 03.12.2020): ``` pip install data-describe ``` @@ -1399,7 +1399,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/Zsailer/nx_altair ``` -- [PyPi](https://pypi.org/project/nx-altair) (πŸ“₯ 330 / month Β· πŸ“¦ 4 Β· ⏱️ 02.06.2020): +- [PyPi](https://pypi.org/project/nx-altair) (πŸ“₯ 400 / month Β· πŸ“¦ 4 Β· ⏱️ 02.06.2020): ``` pip install nx-altair ``` @@ -1407,9 +1407,9 @@ _General-purpose and task-specific data visualization libraries._
Show 4 hidden projects... - plotnine (πŸ₯ˆ28 Β· ⭐ 2.7K) - A grammar of graphics for Python. ❗️GPL-2.0 -- pivottablejs (πŸ₯‰20 Β· ⭐ 430 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT -- pdvega (πŸ₯‰17 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT -- nptsne (πŸ₯‰14 Β· ⭐ 25) - nptsne is a numpy compatible python binary package that offers a number.. Apache-2 +- pivottablejs (πŸ₯‰21 Β· ⭐ 430 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT +- pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT +- nptsne (πŸ₯‰12 Β· ⭐ 25) - nptsne is a numpy compatible python binary package that offers a number.. Apache-2

@@ -1419,90 +1419,90 @@ _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._ -
spaCy (πŸ₯‡37 Β· ⭐ 20K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +
spaCy (πŸ₯‡37 Β· ⭐ 21K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 3.4K Β· πŸ“₯ 3K Β· πŸ“¦ 25K Β· πŸ“‹ 4.6K - 2% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 3.4K Β· πŸ“₯ 3.1K Β· πŸ“¦ 26K Β· πŸ“‹ 4.7K - 2% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 2M / month Β· πŸ“¦ 3.1K Β· ⏱️ 23.04.2021): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 2.2M / month Β· πŸ“¦ 3.1K Β· ⏱️ 23.04.2021): ``` pip install spacy ``` -- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 2M Β· ⏱️ 24.04.2021): +- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 2.1M Β· ⏱️ 24.04.2021): ``` conda install -c conda-forge spacy ```
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transformers (πŸ₯‡36 Β· ⭐ 46K) - Transformers: State-of-the-art Natural Language.. Apache-2 +
transformers (πŸ₯‡36 Β· ⭐ 47K) - Transformers: State-of-the-art Natural Language.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 880 Β· πŸ”€ 11K Β· πŸ“₯ 1.3K Β· πŸ“¦ 11K Β· πŸ“‹ 6.8K - 6% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 900 Β· πŸ”€ 11K Β· πŸ“₯ 1.3K Β· πŸ“¦ 12K Β· πŸ“‹ 7K - 5% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 2.3M / month Β· πŸ“¦ 130 Β· ⏱️ 12.05.2021): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 2.5M / month Β· πŸ“¦ 130 Β· ⏱️ 20.05.2021): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 39K Β· ⏱️ 12.05.2021): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 43K Β· ⏱️ 21.05.2021): ``` conda install -c conda-forge transformers ```
gensim (πŸ₯‡36 Β· ⭐ 12K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 4K Β· πŸ“₯ 3.3K Β· πŸ“¦ 23K Β· πŸ“‹ 1.7K - 21% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 4K Β· πŸ“₯ 3.3K Β· πŸ“¦ 24K Β· πŸ“‹ 1.7K - 21% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 11M / month Β· πŸ“¦ 4.7K Β· ⏱️ 25.03.2021): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 8.5M / month Β· πŸ“¦ 4.7K Β· ⏱️ 25.03.2021): ``` pip install gensim ``` -- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 650K Β· ⏱️ 02.04.2021): +- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 660K Β· ⏱️ 02.04.2021): ``` conda install -c conda-forge gensim ```
nltk (πŸ₯‡35 Β· ⭐ 9.9K) - 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“¦ 100K Β· πŸ“‹ 1.5K - 15% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 2.5K Β· πŸ“¦ 100K Β· πŸ“‹ 1.5K - 15% open Β· ⏱️ 29.05.2021): ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 9.6M / month Β· πŸ“¦ 21K Β· ⏱️ 07.04.2021): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 8.6M / month Β· πŸ“¦ 21K Β· ⏱️ 07.04.2021): ``` pip install nltk ``` -- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 700K Β· ⏱️ 20.04.2021): +- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 720K Β· ⏱️ 20.04.2021): ``` conda install -c conda-forge nltk ```
AllenNLP (πŸ₯‡32 Β· ⭐ 10K) - An open-source NLP research library, built on PyTorch. Apache-2 -- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“₯ 39 Β· πŸ“¦ 1.6K Β· πŸ“‹ 2.4K - 4% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2.1K Β· πŸ“₯ 39 Β· πŸ“¦ 1.7K Β· πŸ“‹ 2.4K - 4% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/allenai/allennlp ``` -- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 38K / month Β· πŸ“¦ 230 Β· ⏱️ 23.04.2021): +- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 39K / month Β· πŸ“¦ 230 Β· ⏱️ 03.06.2021): ``` pip install allennlp ```
fastText (πŸ₯‡31 Β· ⭐ 23K Β· πŸ’€) - Library for fast text representation and classification. MIT -- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 4.4K Β· πŸ“¦ 1.7K Β· πŸ“‹ 1K - 43% open Β· ⏱️ 18.07.2020): +- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 4.4K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1K - 43% open Β· ⏱️ 18.07.2020): ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 540K / month Β· πŸ“¦ 190 Β· ⏱️ 28.04.2020): +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 490K / month Β· πŸ“¦ 190 Β· ⏱️ 28.04.2020): ``` pip install fasttext ``` @@ -1511,21 +1511,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge fasttext ```
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fairseq (πŸ₯‡31 Β· ⭐ 12K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT +
fairseq (πŸ₯‡31 Β· ⭐ 13K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/pytorch/fairseq) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.1K Β· πŸ“₯ 120 Β· πŸ“¦ 380 Β· πŸ“‹ 2.7K - 30% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/pytorch/fairseq) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.2K Β· πŸ“₯ 130 Β· πŸ“¦ 400 Β· πŸ“‹ 2.8K - 30% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/pytorch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 27K / month Β· πŸ“¦ 20 Β· ⏱️ 05.01.2021): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 25K / month Β· πŸ“¦ 20 Β· ⏱️ 05.01.2021): ``` pip install fairseq ```
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ChatterBot (πŸ₯‡31 Β· ⭐ 11K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 +
ChatterBot (πŸ₯‡31 Β· ⭐ 11K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3 -- [GitHub](https://github.com/gunthercox/ChatterBot) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 3.7K Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.5K - 16% open Β· ⏱️ 20.08.2020): +- [GitHub](https://github.com/gunthercox/ChatterBot) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 3.8K Β· πŸ“¦ 3.5K Β· πŸ“‹ 1.5K - 17% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/gunthercox/ChatterBot @@ -1535,46 +1535,46 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install chatterbot ```
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flair (πŸ₯‡31 Β· ⭐ 10K Β· πŸ“ˆ) - A very simple framework for state-of-the-art Natural Language.. MIT +
flair (πŸ₯‡31 Β· ⭐ 10K) - 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”€ 1.6K Β· πŸ“¦ 750 Β· πŸ“‹ 1.5K - 6% open Β· ⏱️ 01.05.2021): +- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.6K Β· πŸ“¦ 780 Β· πŸ“‹ 1.5K - 6% open Β· ⏱️ 29.05.2021): ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 60K / month Β· πŸ“¦ 48 Β· ⏱️ 08.03.2021): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 66K / month Β· πŸ“¦ 48 Β· ⏱️ 08.03.2021): ``` pip install flair ```
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sentencepiece (πŸ₯‡31 Β· ⭐ 5K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 +
sentencepiece (πŸ₯‡31 Β· ⭐ 5.1K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 690 Β· πŸ“₯ 13K Β· πŸ“¦ 7.5K Β· πŸ“‹ 440 - 7% open Β· ⏱️ 08.05.2021): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 690 Β· πŸ“₯ 14K Β· πŸ“¦ 7.9K Β· πŸ“‹ 440 - 8% open Β· ⏱️ 26.05.2021): ``` git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 2.1M / month Β· πŸ“¦ 240 Β· ⏱️ 10.01.2021): +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 2.3M / month Β· πŸ“¦ 240 Β· ⏱️ 10.01.2021): ``` pip install sentencepiece ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 53K Β· ⏱️ 09.02.2021): +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 58K Β· ⏱️ 09.02.2021): ``` conda install -c conda-forge sentencepiece ```
snowballstemmer (πŸ₯‡31 Β· ⭐ 500) - Snowball compiler and stemming algorithms. BSD-3 -- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 140 Β· πŸ“¦ 49K Β· πŸ“‹ 62 - 32% open Β· ⏱️ 11.04.2021): +- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 140 Β· πŸ“¦ 50K Β· πŸ“‹ 62 - 30% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 5.8M / month Β· πŸ“¦ 13K Β· ⏱️ 21.01.2021): +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 5.7M / month Β· πŸ“¦ 13K Β· ⏱️ 21.01.2021): ``` pip install snowballstemmer ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 2.5M Β· ⏱️ 21.01.2021): +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 2.6M Β· ⏱️ 21.01.2021): ``` conda install -c conda-forge snowballstemmer ``` @@ -1586,7 +1586,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 500K / month Β· πŸ“¦ 2.5K Β· ⏱️ 24.02.2019): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 550K / month Β· πŸ“¦ 2.5K Β· ⏱️ 24.02.2019): ``` pip install textblob ``` @@ -1595,28 +1595,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge textblob ```
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sentence-transformers (πŸ₯ˆ30 Β· ⭐ 5K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 +
torchtext (πŸ₯ˆ30 Β· ⭐ 2.8K) - Data loaders and abstractions for text and NLP. BSD-3 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 950 Β· πŸ“¦ 1K Β· πŸ“‹ 850 - 48% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 640 Β· πŸ“¦ 4.7K Β· πŸ“‹ 630 - 48% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/UKPLab/sentence-transformers + git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 850K / month Β· ⏱️ 12.05.2021): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 130K / month Β· πŸ“¦ 680 Β· ⏱️ 25.03.2021): ``` - pip install sentence-transformers + pip install torchtext ```
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torchtext (πŸ₯ˆ30 Β· ⭐ 2.8K) - Data loaders and abstractions for text and NLP. BSD-3 +
sentence-transformers (πŸ₯ˆ29 Β· ⭐ 5.2K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 620 Β· πŸ“¦ 4.5K Β· πŸ“‹ 610 - 47% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 980 Β· πŸ“¦ 1.1K Β· πŸ“‹ 890 - 47% open Β· ⏱️ 28.05.2021): ``` - git clone https://github.com/pytorch/text + git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 140K / month Β· πŸ“¦ 680 Β· ⏱️ 25.03.2021): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 380K / month Β· ⏱️ 24.05.2021): ``` - pip install torchtext + pip install sentence-transformers ```
Dedupe (πŸ₯ˆ29 Β· ⭐ 3K) - A python library for accurate and scalable fuzzy matching, record.. MIT @@ -1626,47 +1626,47 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 82K / month Β· πŸ“¦ 78 Β· ⏱️ 17.04.2021): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 81K / month Β· πŸ“¦ 78 Β· ⏱️ 17.04.2021): ``` pip install dedupe ```
ftfy (πŸ₯ˆ29 Β· ⭐ 3K) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT -- [GitHub](https://github.com/LuminosoInsight/python-ftfy) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 100 Β· πŸ“¦ 3.2K Β· πŸ“‹ 120 - 10% open Β· ⏱️ 04.05.2021): +- [GitHub](https://github.com/LuminosoInsight/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 100 Β· πŸ“¦ 3.3K Β· πŸ“‹ 120 - 8% open Β· ⏱️ 17.05.2021): ``` git clone https://github.com/LuminosoInsight/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 990K / month Β· πŸ“¦ 760 Β· ⏱️ 16.04.2021): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 920K / month Β· πŸ“¦ 760 Β· ⏱️ 24.05.2021): ``` pip install ftfy ``` -- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 100K Β· ⏱️ 19.04.2021): +- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 110K Β· ⏱️ 25.05.2021): ``` conda install -c conda-forge ftfy ```
Rasa (πŸ₯ˆ28 Β· ⭐ 11K) - Open source machine learning framework to automate text- and voice-.. Apache-2 -- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 3.5K Β· πŸ“‹ 5.5K - 12% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 3.5K Β· πŸ“‹ 5.5K - 12% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 180K / month Β· πŸ“¦ 64 Β· ⏱️ 11.05.2021): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 170K / month Β· πŸ“¦ 64 Β· ⏱️ 03.06.2021): ``` pip install rasa ```
DeepPavlov (πŸ₯ˆ28 Β· ⭐ 5.2K) - An open source library for deep learning end-to-end dialog.. Apache-2 -- [GitHub](https://github.com/deepmipt/DeepPavlov) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 930 Β· πŸ“¦ 190 Β· πŸ“‹ 580 - 20% open Β· ⏱️ 03.04.2021): +- [GitHub](https://github.com/deepmipt/DeepPavlov) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 940 Β· πŸ“¦ 200 Β· πŸ“‹ 580 - 20% open Β· ⏱️ 14.05.2021): ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 8.6K / month Β· πŸ“¦ 8 Β· ⏱️ 03.04.2021): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 9.4K / month Β· πŸ“¦ 8 Β· ⏱️ 14.05.2021): ``` pip install deeppavlov ``` @@ -1678,120 +1678,116 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 5K / month Β· πŸ“¦ 4 Β· ⏱️ 30.04.2021): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 4.2K / month Β· πŸ“¦ 4 Β· ⏱️ 30.04.2021): ``` pip install OpenNMT-py ```
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phonenumbers (πŸ₯ˆ28 Β· ⭐ 2.7K) - Python port of Google's libphonenumber. Apache-2 +
Tokenizers (πŸ₯ˆ28 Β· ⭐ 4.6K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/daviddrysdale/python-phonenumbers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 340 Β· πŸ“‹ 120 - 2% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 360 Β· πŸ“¦ 34 Β· πŸ“‹ 450 - 25% open Β· ⏱️ 24.05.2021): ``` - git clone https://github.com/daviddrysdale/python-phonenumbers + git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/phonenumbers) (πŸ“₯ 1.7M / month Β· πŸ“¦ 2.3K Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 2.8M / month Β· ⏱️ 24.05.2021): ``` - pip install phonenumbers + pip install tokenizers ``` -- [Conda](https://anaconda.org/conda-forge/phonenumbers) (πŸ“₯ 420K Β· ⏱️ 04.08.2019): +- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 55K Β· ⏱️ 10.03.2021): ``` - conda install -c conda-forge phonenumbers + conda install -c conda-forge tokenizers ```
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textacy (πŸ₯ˆ28 Β· ⭐ 1.7K) - NLP, before and after spaCy. Apache-2 +
phonenumbers (πŸ₯ˆ28 Β· ⭐ 2.7K) - Python port of Google's libphonenumber. Apache-2 -- [GitHub](https://github.com/chartbeat-labs/textacy) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 230 Β· πŸ“‹ 230 - 12% open Β· ⏱️ 23.04.2021): +- [GitHub](https://github.com/daviddrysdale/python-phonenumbers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 340 Β· πŸ“‹ 120 - 2% open Β· ⏱️ 27.05.2021): ``` - git clone https://github.com/chartbeat-labs/textacy + git clone https://github.com/daviddrysdale/python-phonenumbers ``` -- [PyPi](https://pypi.org/project/textacy) (πŸ“₯ 360K / month Β· πŸ“¦ 150 Β· ⏱️ 12.04.2021): +- [PyPi](https://pypi.org/project/phonenumbers) (πŸ“₯ 1.8M / month Β· πŸ“¦ 2.3K Β· ⏱️ 27.05.2021): ``` - pip install textacy + pip install phonenumbers ``` -- [Conda](https://anaconda.org/conda-forge/textacy) (πŸ“₯ 87K Β· ⏱️ 13.04.2021): +- [Conda](https://anaconda.org/conda-forge/phonenumbers) (πŸ“₯ 420K Β· ⏱️ 31.05.2021): ``` - conda install -c conda-forge textacy + conda install -c conda-forge phonenumbers ```
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Tokenizers (πŸ₯ˆ27 Β· ⭐ 4.5K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +
ParlAI (πŸ₯ˆ27 Β· ⭐ 7.2K) - A framework for training and evaluating AI models on a variety of.. MIT -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 340 Β· πŸ“¦ 32 Β· πŸ“‹ 430 - 23% open Β· ⏱️ 21.04.2021): +- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.5K Β· πŸ“¦ 25 Β· πŸ“‹ 1K - 9% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/huggingface/tokenizers + git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 2.5M / month Β· ⏱️ 05.04.2021): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 2K / month Β· ⏱️ 23.04.2021): ``` - pip install tokenizers + pip install parlai + ``` +
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spark-nlp (πŸ₯ˆ27 Β· ⭐ 2.2K) - State of the Art Natural Language Processing. Apache-2 + +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 440 Β· πŸ“‹ 490 - 15% open Β· ⏱️ 03.06.2021): + ``` -- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 50K Β· ⏱️ 10.03.2021): + git clone https://github.com/JohnSnowLabs/spark-nlp ``` - conda install -c conda-forge tokenizers +- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 690K / month Β· ⏱️ 06.05.2021): + ``` + pip install spark-nlp ```
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ParlAI (πŸ₯ˆ26 Β· ⭐ 7.2K) - A framework for training and evaluating AI models on a variety of.. MIT +
TensorFlow Text (πŸ₯ˆ27 Β· ⭐ 740) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.5K Β· πŸ“¦ 24 Β· πŸ“‹ 990 - 9% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 92 Β· πŸ“¦ 710 Β· πŸ“‹ 150 - 34% open Β· ⏱️ 01.06.2021): ``` - git clone https://github.com/facebookresearch/ParlAI + git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 2.5K / month Β· ⏱️ 23.04.2021): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 590K / month Β· πŸ“¦ 4 Β· ⏱️ 21.05.2021): ``` - pip install parlai + pip install tensorflow-text ```
vaderSentiment (πŸ₯ˆ26 Β· ⭐ 3K) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and.. MIT -- [GitHub](https://github.com/cjhutto/vaderSentiment) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 760 Β· πŸ“¦ 2.6K Β· πŸ“‹ 100 - 29% open Β· ⏱️ 15.03.2021): +- [GitHub](https://github.com/cjhutto/vaderSentiment) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 780 Β· πŸ“¦ 2.7K Β· πŸ“‹ 110 - 30% open Β· ⏱️ 15.03.2021): ``` git clone https://github.com/cjhutto/vaderSentiment ``` -- [PyPi](https://pypi.org/project/vadersentiment) (πŸ“₯ 140K / month Β· πŸ“¦ 290 Β· ⏱️ 22.05.2020): +- [PyPi](https://pypi.org/project/vadersentiment) (πŸ“₯ 130K / month Β· πŸ“¦ 290 Β· ⏱️ 22.05.2020): ``` pip install vadersentiment ```
GluonNLP (πŸ₯ˆ26 Β· ⭐ 2.3K) - Toolkit that enables easy text preprocessing, datasets loading.. Apache-2 -- [GitHub](https://github.com/dmlc/gluon-nlp) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 510 Β· πŸ“¦ 470 Β· πŸ“‹ 540 - 46% open Β· ⏱️ 22.04.2021): +- [GitHub](https://github.com/dmlc/gluon-nlp) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 510 Β· πŸ“¦ 490 Β· πŸ“‹ 540 - 46% open Β· ⏱️ 24.05.2021): ``` git clone https://github.com/dmlc/gluon-nlp ``` -- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 50K / month Β· πŸ“¦ 22 Β· ⏱️ 13.08.2020): +- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 58K / month Β· πŸ“¦ 22 Β· ⏱️ 13.08.2020): ``` pip install gluonnlp ```
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spark-nlp (πŸ₯ˆ26 Β· ⭐ 2.1K) - State of the Art Natural Language Processing. Apache-2 - -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 440 Β· πŸ“‹ 480 - 15% open Β· ⏱️ 11.05.2021): - - ``` - git clone https://github.com/JohnSnowLabs/spark-nlp - ``` -- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 680K / month Β· ⏱️ 06.05.2021): - ``` - pip install spark-nlp - ``` -
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haystack (πŸ₯ˆ26 Β· ⭐ 1.8K) - End-to-end Python framework for building natural language search.. Apache-2 +
haystack (πŸ₯ˆ26 Β· ⭐ 1.9K) - End-to-end Python framework for building natural language search.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 340 Β· πŸ“¦ 51 Β· πŸ“‹ 610 - 15% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 360 Β· πŸ“¦ 54 Β· πŸ“‹ 670 - 16% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 1.3K / month Β· πŸ“¦ 170 Β· ⏱️ 03.07.2017): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 1.6K / month Β· πŸ“¦ 170 Β· ⏱️ 03.07.2017): ``` pip install haystack ```
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jellyfish (πŸ₯ˆ26 Β· ⭐ 1.4K) - a python library for doing approximate and phonetic matching of.. BSD-2 +
jellyfish (πŸ₯ˆ26 Β· ⭐ 1.5K) - a python library for doing approximate and phonetic matching of.. BSD-2 - [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 130 Β· πŸ“¦ 2.4K Β· πŸ“‹ 100 - 11% open Β· ⏱️ 29.04.2021): @@ -1807,77 +1803,49 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge jellyfish ```
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TensorFlow Text (πŸ₯ˆ26 Β· ⭐ 730) - Making text a first-class citizen in TensorFlow. Apache-2 - -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 90 Β· πŸ“¦ 650 Β· πŸ“‹ 140 - 34% open Β· ⏱️ 13.05.2021): - - ``` - git clone https://github.com/tensorflow/text - ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 390K / month Β· πŸ“¦ 4 Β· ⏱️ 06.04.2021): - ``` - pip install tensorflow-text - ``` -
CLTK (πŸ₯ˆ26 Β· ⭐ 660) - The Classical Language Toolkit. MIT -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 300 Β· πŸ“₯ 22 Β· πŸ“¦ 160 Β· πŸ“‹ 500 - 25% open Β· ⏱️ 30.04.2021): +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 300 Β· πŸ“₯ 22 Β· πŸ“¦ 170 Β· πŸ“‹ 510 - 25% open Β· ⏱️ 21.05.2021): ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 2.2K / month Β· πŸ“¦ 68 Β· ⏱️ 30.04.2021): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 2.4K / month Β· πŸ“¦ 68 Β· ⏱️ 21.05.2021): ``` pip install cltk ```
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pyahocorasick (πŸ₯ˆ26 Β· ⭐ 610) - Python module (C extension and plain python) implementing Aho-.. BSD-3 +
inflect (πŸ₯ˆ26 Β· ⭐ 520) - Correctly generate plurals, ordinals, indefinite articles; convert numbers.. MIT -- [GitHub](https://github.com/WojciechMula/pyahocorasick) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 88 Β· πŸ“¦ 590 Β· πŸ“‹ 100 - 32% open Β· ⏱️ 27.03.2021): - - ``` - git clone https://github.com/WojciechMula/pyahocorasick - ``` -- [PyPi](https://pypi.org/project/pyahocorasick) (πŸ“₯ 220K / month Β· πŸ“¦ 100 Β· ⏱️ 27.03.2021): - ``` - pip install pyahocorasick - ``` -- [Conda](https://anaconda.org/conda-forge/pyahocorasick) (πŸ“₯ 120K Β· ⏱️ 13.10.2020): - ``` - conda install -c conda-forge pyahocorasick - ``` -
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inflect (πŸ₯ˆ26 Β· ⭐ 510) - Correctly generate plurals, ordinals, indefinite articles; convert numbers.. MIT - -- [GitHub](https://github.com/jaraco/inflect) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 59 Β· πŸ“‹ 76 - 17% open Β· ⏱️ 23.03.2021): +- [GitHub](https://github.com/jaraco/inflect) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 59 Β· πŸ“‹ 79 - 20% open Β· ⏱️ 23.03.2021): ``` git clone https://github.com/jaraco/inflect ``` -- [PyPi](https://pypi.org/project/inflect) (πŸ“₯ 1.8M / month Β· πŸ“¦ 1.4K Β· ⏱️ 03.03.2021): +- [PyPi](https://pypi.org/project/inflect) (πŸ“₯ 1.5M / month Β· πŸ“¦ 1.4K Β· ⏱️ 03.03.2021): ``` pip install inflect ``` -- [Conda](https://anaconda.org/conda-forge/inflect) (πŸ“₯ 150K Β· ⏱️ 03.03.2021): +- [Conda](https://anaconda.org/conda-forge/inflect) (πŸ“₯ 160K Β· ⏱️ 03.03.2021): ``` conda install -c conda-forge inflect ```
PyText (πŸ₯‰25 Β· ⭐ 6.2K) - A natural language modeling framework based on PyTorch. BSD-3 -- [GitHub](https://github.com/facebookresearch/pytext) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 790 Β· πŸ“₯ 230 Β· πŸ“¦ 76 Β· πŸ“‹ 200 - 63% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/facebookresearch/pytext) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 790 Β· πŸ“₯ 240 Β· πŸ“¦ 81 Β· πŸ“‹ 200 - 63% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/facebookresearch/pytext ``` -- [PyPi](https://pypi.org/project/pytext-nlp) (πŸ“₯ 510 / month Β· πŸ“¦ 1 Β· ⏱️ 08.06.2020): +- [PyPi](https://pypi.org/project/pytext-nlp) (πŸ“₯ 490 / month Β· πŸ“¦ 1 Β· ⏱️ 08.06.2020): ``` pip install pytext-nlp ```
stanza (πŸ₯‰25 Β· ⭐ 5.4K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2 -- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 690 Β· πŸ“¦ 460 Β· πŸ“‹ 500 - 11% open Β· ⏱️ 10.02.2021): +- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 690 Β· πŸ“¦ 490 Β· πŸ“‹ 510 - 12% open Β· ⏱️ 10.02.2021): ``` git clone https://github.com/stanfordnlp/stanza @@ -1886,101 +1854,125 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install stanza ``` -- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 3.6K Β· ⏱️ 27.01.2021): +- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 3.7K Β· ⏱️ 27.01.2021): ``` conda install -c stanfordnlp stanza ```
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T5 (πŸ₯‰25 Β· ⭐ 3.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 +
textgenrnn (πŸ₯‰25 Β· ⭐ 4.4K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 460 Β· πŸ“¦ 35 Β· πŸ“‹ 370 - 13% open Β· ⏱️ 30.04.2021): +- [GitHub](https://github.com/minimaxir/textgenrnn) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 680 Β· πŸ“₯ 510 Β· πŸ“¦ 900 Β· πŸ“‹ 200 - 58% open Β· ⏱️ 14.07.2020): ``` - git clone https://github.com/google-research/text-to-text-transfer-transformer + git clone https://github.com/minimaxir/textgenrnn ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 12K / month Β· ⏱️ 03.03.2021): +- [PyPi](https://pypi.org/project/textgenrnn) (πŸ“₯ 2.5K / month Β· πŸ“¦ 28 Β· ⏱️ 02.02.2020): + ``` + pip install textgenrnn + ``` +
+
T5 (πŸ₯‰25 Β· ⭐ 3.4K) - 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’» 37 Β· πŸ”€ 460 Β· πŸ“¦ 40 Β· πŸ“‹ 370 - 13% open Β· ⏱️ 01.06.2021): + + ``` + git clone https://github.com/google-research/text-to-text-transfer-transformer + ``` +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 11K / month Β· ⏱️ 03.03.2021): ``` pip install t5 ```
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Sumy (πŸ₯‰25 Β· ⭐ 2.6K) - Module for automatic summarization of text documents and HTML pages. Apache-2 +
Sumy (πŸ₯‰25 Β· ⭐ 2.6K Β· πŸ’€) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 450 Β· πŸ“¦ 780 Β· πŸ“‹ 90 - 13% open Β· ⏱️ 21.11.2020): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 450 Β· πŸ“¦ 800 Β· πŸ“‹ 91 - 14% open Β· ⏱️ 21.11.2020): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 22K / month Β· πŸ“¦ 190 Β· ⏱️ 19.05.2019): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 23K / month Β· πŸ“¦ 190 Β· ⏱️ 19.05.2019): ``` pip install sumy ```
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TextDistance (πŸ₯‰25 Β· ⭐ 2K Β· πŸ“ˆ) - Compute distance between sequences. 30+ algorithms, pure python.. MIT +
TextDistance (πŸ₯‰25 Β· ⭐ 2K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 160 Β· πŸ“₯ 100 Β· πŸ“¦ 550 Β· ⏱️ 29.01.2021): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 160 Β· πŸ“₯ 100 Β· πŸ“¦ 610 Β· ⏱️ 29.01.2021): ``` git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 240K / month Β· πŸ“¦ 28 Β· ⏱️ 29.01.2021): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 280K / month Β· πŸ“¦ 28 Β· ⏱️ 29.01.2021): ``` pip install textdistance ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 36K Β· ⏱️ 29.01.2021): +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 38K Β· ⏱️ 29.01.2021): ``` conda install -c conda-forge textdistance ```
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pytorch-nlp (πŸ₯‰25 Β· ⭐ 1.9K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 +
textacy (πŸ₯‰25 Β· ⭐ 1.7K Β· πŸ“‰) - NLP, before and after spaCy. Apache-2 -- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 210 Β· πŸ“‹ 63 - 22% open Β· ⏱️ 26.01.2021): +- [GitHub](https://github.com/chartbeat-labs/textacy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 230 Β· πŸ“‹ 240 - 12% open Β· ⏱️ 31.05.2021): ``` - git clone https://github.com/PetrochukM/PyTorch-NLP + git clone https://github.com/chartbeat-labs/textacy ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 9.1K / month Β· πŸ“¦ 18 Β· ⏱️ 04.11.2019): +- [PyPi](https://pypi.org/project/textacy) (πŸ“₯ 220K / month Β· πŸ“¦ 150 Β· ⏱️ 12.04.2021): ``` - pip install pytorch-nlp + pip install textacy + ``` +- [Conda](https://anaconda.org/conda-forge/textacy) (πŸ“₯ 89K Β· ⏱️ 13.04.2021): + ``` + conda install -c conda-forge textacy ```
scattertext (πŸ₯‰25 Β· ⭐ 1.6K) - Beautiful visualizations of how language differs among document.. Apache-2 -- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 220 Β· πŸ“¦ 180 Β· πŸ“‹ 79 - 21% open Β· ⏱️ 08.03.2021): +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 220 Β· πŸ“¦ 190 Β· πŸ“‹ 81 - 20% open Β· ⏱️ 22.05.2021): ``` git clone https://github.com/JasonKessler/scattertext ``` -- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 3.7K / month Β· πŸ“¦ 16 Β· ⏱️ 08.03.2021): +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 2.4K / month Β· πŸ“¦ 16 Β· ⏱️ 08.03.2021): ``` pip install scattertext ``` -- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 50K Β· ⏱️ 18.01.2021): +- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 51K Β· ⏱️ 18.01.2021): ``` conda install -c conda-forge scattertext ```
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flashtext (πŸ₯‰24 Β· ⭐ 4.7K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT +
pyahocorasick (πŸ₯‰25 Β· ⭐ 610) - Python module (C extension and plain python) implementing Aho-.. BSD-3 -- [GitHub](https://github.com/vi3k6i5/flashtext) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 550 Β· πŸ“¦ 440 Β· πŸ“‹ 100 - 52% open Β· ⏱️ 03.05.2020): +- [GitHub](https://github.com/WojciechMula/pyahocorasick) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 88 Β· πŸ“¦ 630 Β· πŸ“‹ 100 - 33% open Β· ⏱️ 27.03.2021): ``` - git clone https://github.com/vi3k6i5/flashtext + git clone https://github.com/WojciechMula/pyahocorasick ``` -- [PyPi](https://pypi.org/project/flashtext) (πŸ“₯ 330K / month Β· πŸ“¦ 32 Β· ⏱️ 16.02.2018): +- [PyPi](https://pypi.org/project/pyahocorasick) (πŸ“₯ 280K / month Β· πŸ“¦ 100 Β· ⏱️ 27.03.2021): ``` - pip install flashtext + pip install pyahocorasick + ``` +- [Conda](https://anaconda.org/conda-forge/pyahocorasick) (πŸ“₯ 120K Β· ⏱️ 13.10.2020): + ``` + conda install -c conda-forge pyahocorasick ```
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textgenrnn (πŸ₯‰24 Β· ⭐ 4.4K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT +
Ciphey (πŸ₯‰24 Β· ⭐ 7K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT -- [GitHub](https://github.com/minimaxir/textgenrnn) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 680 Β· πŸ“₯ 500 Β· πŸ“¦ 870 Β· πŸ“‹ 200 - 58% open Β· ⏱️ 14.07.2020): +- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 390 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 28.05.2021): ``` - git clone https://github.com/minimaxir/textgenrnn + git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/textgenrnn) (πŸ“₯ 7.2K / month Β· πŸ“¦ 28 Β· ⏱️ 02.02.2020): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 7.7K / month Β· ⏱️ 23.05.2021): ``` - pip install textgenrnn + pip install ciphey + ``` +- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (πŸ“₯ 9.8K Β· ⭐ 3 Β· ⏱️ 24.05.2021): + ``` + docker pull remnux/ciphey ```
Snips NLU (πŸ₯‰24 Β· ⭐ 3.5K) - Snips Python library to extract meaning from text. Apache-2 @@ -1990,98 +1982,118 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/snipsco/snips-nlu ``` -- [PyPi](https://pypi.org/project/snips-nlu) (πŸ“₯ 4.3K / month Β· πŸ“¦ 16 Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/snips-nlu) (πŸ“₯ 4.4K / month Β· πŸ“¦ 16 Β· ⏱️ 15.01.2020): ``` pip install snips-nlu ```
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pytorch-nlp (πŸ₯‰24 Β· ⭐ 1.9K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 + +- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 220 Β· πŸ“‹ 63 - 22% open Β· ⏱️ 26.01.2021): + + ``` + git clone https://github.com/PetrochukM/PyTorch-NLP + ``` +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 6.3K / month Β· πŸ“¦ 18 Β· ⏱️ 04.11.2019): + ``` + pip install pytorch-nlp + ``` +
sense2vec (πŸ₯‰24 Β· ⭐ 1.2K) - Contextually-keyed word vectors. MIT -- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 210 Β· πŸ“₯ 16K Β· πŸ“¦ 66 Β· πŸ“‹ 99 - 16% open Β· ⏱️ 18.04.2021): +- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 210 Β· πŸ“₯ 16K Β· πŸ“¦ 68 Β· πŸ“‹ 99 - 16% open Β· ⏱️ 18.04.2021): ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 5.6K / month Β· πŸ“¦ 12 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 4.6K / month Β· πŸ“¦ 12 Β· ⏱️ 19.04.2021): ``` pip install sense2vec ``` -- [Conda](https://anaconda.org/conda-forge/sense2vec) (πŸ“₯ 18K Β· ⏱️ 16.03.2020): +- [Conda](https://anaconda.org/conda-forge/sense2vec) (πŸ“₯ 19K Β· ⏱️ 16.03.2020): ``` conda install -c conda-forge sense2vec ```
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spacy-transformers (πŸ₯‰24 Β· ⭐ 950) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy +
spacy-transformers (πŸ₯‰24 Β· ⭐ 960) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“¦ 140 Β· ⏱️ 20.04.2021): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“¦ 170 Β· ⏱️ 14.05.2021): ``` git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 34K / month Β· πŸ“¦ 6 Β· ⏱️ 02.02.2021): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 39K / month Β· πŸ“¦ 6 Β· ⏱️ 02.02.2021): ``` pip install spacy-transformers ```
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Ciphey (πŸ₯‰23 Β· ⭐ 6.8K) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT +
DeepMatcher (πŸ₯‰23 Β· ⭐ 3.6K) - Python package for performing Entity and Text Matching using Deep.. BSD-3 -- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 380 Β· πŸ“‹ 230 - 18% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/anhaidgroup/deepmatcher) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 1.4K Β· πŸ“¦ 12 Β· πŸ“‹ 68 - 69% open Β· ⏱️ 27.05.2021): ``` - git clone https://github.com/Ciphey/Ciphey + git clone https://github.com/anhaidgroup/deepmatcher ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 4.9K / month Β· ⏱️ 28.02.2021): +- [PyPi](https://pypi.org/project/deepmatcher) (πŸ“₯ 870 / month Β· ⏱️ 27.05.2021): ``` - pip install ciphey + pip install deepmatcher + ``` +
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MatchZoo (πŸ₯‰23 Β· ⭐ 3.4K) - Facilitating the design, comparison and sharing of deep text.. Apache-2 + +- [GitHub](https://github.com/NTMC-Community/MatchZoo) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 880 Β· πŸ“¦ 10 Β· πŸ“‹ 460 - 6% open Β· ⏱️ 02.06.2021): + ``` -- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (πŸ“₯ 9.5K Β· ⭐ 3 Β· ⏱️ 17.04.2021): + git clone https://github.com/NTMC-Community/MatchZoo ``` - docker pull remnux/ciphey +- [PyPi](https://pypi.org/project/matchzoo) (πŸ“₯ 220 / month Β· ⏱️ 24.10.2019): + ``` + pip install matchzoo ```
neuralcoref (πŸ₯‰23 Β· ⭐ 2.3K) - Fast Coreference Resolution in spaCy with Neural Networks. MIT -- [GitHub](https://github.com/huggingface/neuralcoref) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 400 Β· πŸ“₯ 200 Β· πŸ“¦ 330 Β· πŸ“‹ 270 - 18% open Β· ⏱️ 24.02.2021): +- [GitHub](https://github.com/huggingface/neuralcoref) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 400 Β· πŸ“₯ 210 Β· πŸ“¦ 350 Β· πŸ“‹ 270 - 17% open Β· ⏱️ 24.02.2021): ``` git clone https://github.com/huggingface/neuralcoref ``` -- [PyPi](https://pypi.org/project/neuralcoref) (πŸ“₯ 8.4K / month Β· πŸ“¦ 18 Β· ⏱️ 08.04.2019): +- [PyPi](https://pypi.org/project/neuralcoref) (πŸ“₯ 14K / month Β· πŸ“¦ 18 Β· ⏱️ 08.04.2019): ``` pip install neuralcoref ``` -- [Conda](https://anaconda.org/conda-forge/neuralcoref) (πŸ“₯ 7.8K Β· ⏱️ 21.02.2020): +- [Conda](https://anaconda.org/conda-forge/neuralcoref) (πŸ“₯ 8.2K Β· ⏱️ 21.02.2020): ``` conda install -c conda-forge neuralcoref ```
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fastNLP (πŸ₯‰23 Β· ⭐ 2.1K Β· πŸ“‰) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 +
fastNLP (πŸ₯‰23 Β· ⭐ 2.2K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2 -- [GitHub](https://github.com/fastnlp/fastNLP) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 360 Β· πŸ“₯ 54 Β· πŸ“¦ 31 Β· πŸ“‹ 150 - 13% open Β· ⏱️ 12.04.2021): +- [GitHub](https://github.com/fastnlp/fastNLP) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 370 Β· πŸ“₯ 58 Β· πŸ“¦ 32 Β· πŸ“‹ 150 - 12% open Β· ⏱️ 12.04.2021): ``` git clone https://github.com/fastnlp/fastNLP ``` -- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 920 / month Β· πŸ“¦ 1 Β· ⏱️ 04.02.2019): +- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 04.02.2019): ``` pip install fastnlp ```
PyTextRank (πŸ₯‰23 Β· ⭐ 1.5K) - Python implementation of TextRank for phrase extraction and.. MIT -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 300 Β· πŸ“¦ 160 Β· πŸ“‹ 68 - 25% open Β· ⏱️ 05.05.2021): +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 300 Β· πŸ“¦ 160 Β· πŸ“‹ 69 - 24% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 11K / month Β· πŸ“¦ 12 Β· ⏱️ 25.03.2021): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 12K / month Β· πŸ“¦ 12 Β· ⏱️ 25.03.2021): ``` pip install pytextrank ```
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pySBD (πŸ₯‰23 Β· ⭐ 310) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT +
pySBD (πŸ₯‰23 Β· ⭐ 320) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT -- [GitHub](https://github.com/nipunsadvilkar/pySBD) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 29 Β· πŸ“¦ 150 Β· πŸ“‹ 56 - 14% open Β· ⏱️ 11.02.2021): +- [GitHub](https://github.com/nipunsadvilkar/pySBD) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 32 Β· πŸ“¦ 160 Β· πŸ“‹ 56 - 14% open Β· ⏱️ 11.02.2021): ``` git clone https://github.com/nipunsadvilkar/pySBD @@ -2091,18 +2103,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install pysbd ```
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DeepMatcher (πŸ₯‰22 Β· ⭐ 3.6K) - Python package for performing Entity and Text Matching using Deep.. BSD-3 - -- [GitHub](https://github.com/anhaidgroup/deepmatcher) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 1.3K Β· πŸ“¦ 12 Β· πŸ“‹ 67 - 70% open Β· ⏱️ 11.05.2021): - - ``` - git clone https://github.com/anhaidgroup/deepmatcher - ``` -- [PyPi](https://pypi.org/project/deepmatcher) (πŸ“₯ 790 / month Β· ⏱️ 11.05.2021): - ``` - pip install deepmatcher - ``` -
gpt-2-simple (πŸ₯‰22 Β· ⭐ 2.7K) - Python package to easily retrain OpenAI's GPT-2 text-.. MIT - [GitHub](https://github.com/minimaxir/gpt-2-simple) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 540 Β· πŸ“₯ 220 Β· πŸ“‹ 240 - 60% open Β· ⏱️ 14.02.2021): @@ -2110,103 +2110,103 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/minimaxir/gpt-2-simple ``` -- [PyPi](https://pypi.org/project/gpt-2-simple) (πŸ“₯ 13K / month Β· πŸ“¦ 6 Β· ⏱️ 14.02.2021): +- [PyPi](https://pypi.org/project/gpt-2-simple) (πŸ“₯ 11K / month Β· πŸ“¦ 6 Β· ⏱️ 14.02.2021): ``` pip install gpt-2-simple ```
Texar (πŸ₯‰22 Β· ⭐ 2.2K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 -- [GitHub](https://github.com/asyml/texar) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 360 Β· πŸ“¦ 14 Β· πŸ“‹ 160 - 20% open Β· ⏱️ 29.07.2020): +- [GitHub](https://github.com/asyml/texar) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 360 Β· πŸ“¦ 15 Β· πŸ“‹ 160 - 20% open Β· ⏱️ 29.07.2020): ``` git clone https://github.com/asyml/texar ``` -- [PyPi](https://pypi.org/project/texar) (πŸ“₯ 180 / month Β· πŸ“¦ 2 Β· ⏱️ 19.11.2019): +- [PyPi](https://pypi.org/project/texar) (πŸ“₯ 240 / month Β· πŸ“¦ 2 Β· ⏱️ 19.11.2019): ``` pip install texar ```
anaGo (πŸ₯‰22 Β· ⭐ 1.4K) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-.. MIT -- [GitHub](https://github.com/Hironsan/anago) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 360 Β· πŸ“¦ 25 Β· πŸ“‹ 110 - 33% open Β· ⏱️ 01.04.2021): +- [GitHub](https://github.com/Hironsan/anago) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 360 Β· πŸ“¦ 26 Β· πŸ“‹ 110 - 33% open Β· ⏱️ 01.04.2021): ``` git clone https://github.com/Hironsan/anago ``` -- [PyPi](https://pypi.org/project/anago) (πŸ“₯ 7.6K / month Β· πŸ“¦ 5 Β· ⏱️ 17.07.2018): +- [PyPi](https://pypi.org/project/anago) (πŸ“₯ 7.2K / month Β· πŸ“¦ 5 Β· ⏱️ 17.07.2018): ``` pip install anago ```
FARM (πŸ₯‰22 Β· ⭐ 1.2K) - Fast & easy transfer learning for NLP. Harvesting language models.. Apache-2 -- [GitHub](https://github.com/deepset-ai/FARM) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 180 Β· πŸ“‹ 360 - 10% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/deepset-ai/FARM) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 180 Β· πŸ“‹ 380 - 10% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/deepset-ai/FARM ``` -- [PyPi](https://pypi.org/project/farm) (πŸ“₯ 6.6K / month Β· πŸ“¦ 2 Β· ⏱️ 22.02.2021): +- [PyPi](https://pypi.org/project/farm) (πŸ“₯ 7.9K / month Β· πŸ“¦ 2 Β· ⏱️ 22.02.2021): ``` pip install farm ```
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SciSpacy (πŸ₯‰22 Β· ⭐ 910) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 +
SciSpacy (πŸ₯‰22 Β· ⭐ 930) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 130 Β· πŸ“¦ 250 Β· πŸ“‹ 180 - 15% open Β· ⏱️ 19.04.2021): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 130 Β· πŸ“¦ 260 Β· πŸ“‹ 190 - 16% open Β· ⏱️ 19.04.2021): ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 17K / month Β· πŸ“¦ 12 Β· ⏱️ 12.02.2021): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 16K / month Β· πŸ“¦ 12 Β· ⏱️ 12.02.2021): ``` pip install scispacy ```
NeMo (πŸ₯‰20 Β· ⭐ 2.7K) - NeMo: a toolkit for conversational AI. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 470 Β· πŸ“₯ 900 Β· πŸ“‹ 640 - 30% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 500 Β· πŸ“₯ 2.4K Β· πŸ“‹ 560 - 14% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 6.3K / month Β· πŸ“¦ 4 Β· ⏱️ 11.12.2020): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 5.9K / month Β· πŸ“¦ 4 Β· ⏱️ 11.12.2020): ``` pip install nemo-toolkit ```
NLP Architect (πŸ₯‰20 Β· ⭐ 2.7K) - 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”€ 400 Β· πŸ“¦ 7 Β· πŸ“‹ 130 - 12% open Β· ⏱️ 13.04.2021): +- [GitHub](https://github.com/IntelLabs/nlp-architect) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 400 Β· πŸ“¦ 8 Β· πŸ“‹ 130 - 12% open Β· ⏱️ 13.04.2021): ``` git clone https://github.com/IntelLabs/nlp-architect ``` -- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 290 / month Β· ⏱️ 12.04.2020): +- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 450 / month Β· ⏱️ 12.04.2020): ``` pip install nlp-architect ```
Texthero (πŸ₯‰20 Β· ⭐ 2.2K) - Text preprocessing, representation and visualization from zero to hero. MIT -- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“₯ 65 Β· πŸ“‹ 120 - 58% open Β· ⏱️ 07.04.2021): +- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“₯ 66 Β· πŸ“‹ 120 - 58% open Β· ⏱️ 07.04.2021): ``` git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 5.5K / month Β· ⏱️ 06.07.2020): +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 4.6K / month Β· ⏱️ 06.07.2020): ``` pip install texthero ```
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’» 34 Β· πŸ”€ 320 Β· πŸ“‹ 230 - 60% open Β· ⏱️ 28.04.2021): +- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 320 Β· πŸ“‹ 240 - 60% open Β· ⏱️ 23.05.2021): ``` git clone https://github.com/kaushaltrivedi/fast-bert ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 2.5K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2021): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 2.1K / month Β· πŸ“¦ 2 Β· ⏱️ 23.05.2021): ``` pip install fast-bert ``` @@ -2218,109 +2218,117 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/Delta-ML/delta ``` -- [PyPi](https://pypi.org/project/delta-nlp) (πŸ“₯ 17 / month Β· ⏱️ 27.03.2020): +- [PyPi](https://pypi.org/project/delta-nlp) (πŸ“₯ 13 / month Β· ⏱️ 27.03.2020): ``` pip install delta-nlp ``` -- [Docker Hub](https://hub.docker.com/r/zh794390558/delta) (πŸ“₯ 13K Β· ⏱️ 12.05.2021): +- [Docker Hub](https://hub.docker.com/r/zh794390558/delta) (πŸ“₯ 13K Β· ⏱️ 01.06.2021): ``` docker pull zh794390558/delta ```
Sockeye (πŸ₯‰20 Β· ⭐ 1K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 -- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 300 Β· πŸ“‹ 250 - 8% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 300 Β· πŸ“‹ 250 - 8% open Β· ⏱️ 30.05.2021): ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 710 / month Β· πŸ“¦ 2 Β· ⏱️ 07.04.2021): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 400 / month Β· πŸ“¦ 2 Β· ⏱️ 07.04.2021): ``` pip install sockeye ```
YouTokenToMe (πŸ₯‰20 Β· ⭐ 740) - Unsupervised text tokenizer focused on computational efficiency. MIT -- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 46 Β· πŸ“¦ 120 Β· πŸ“‹ 43 - 48% open Β· ⏱️ 28.01.2021): +- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 47 Β· πŸ“¦ 130 Β· πŸ“‹ 45 - 51% open Β· ⏱️ 28.01.2021): ``` git clone https://github.com/vkcom/youtokentome ``` -- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 16K / month Β· πŸ“¦ 12 Β· ⏱️ 12.02.2020): +- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 17K / month Β· πŸ“¦ 12 Β· ⏱️ 12.02.2020): ``` pip install youtokentome ```
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textpipe (πŸ₯‰20 Β· ⭐ 290) - Textpipe: clean and extract metadata from text. MIT +
finetune (πŸ₯‰19 Β· ⭐ 640) - Scikit-learn style model finetuning for NLP. MPL-2.0 -- [GitHub](https://github.com/textpipe/textpipe) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 20 Β· πŸ“¦ 7 Β· πŸ“‹ 46 - 45% open Β· ⏱️ 25.01.2021): +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 68 Β· πŸ“¦ 9 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 10.05.2021): ``` - git clone https://github.com/textpipe/textpipe + git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/textpipe) (πŸ“₯ 3.3K / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 91 / month Β· πŸ“¦ 2 Β· ⏱️ 10.01.2020): ``` - pip install textpipe + pip install finetune ```
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finetune (πŸ₯‰19 Β· ⭐ 640) - Scikit-learn style model finetuning for NLP. MPL-2.0 +
textpipe (πŸ₯‰19 Β· ⭐ 290) - Textpipe: clean and extract metadata from text. MIT -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 68 Β· πŸ“¦ 9 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/textpipe/textpipe) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 20 Β· πŸ“¦ 7 Β· πŸ“‹ 46 - 45% open Β· ⏱️ 25.01.2021): ``` - git clone https://github.com/IndicoDataSolutions/finetune + git clone https://github.com/textpipe/textpipe ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 140 / month Β· πŸ“¦ 2 Β· ⏱️ 10.01.2020): +- [PyPi](https://pypi.org/project/textpipe) (πŸ“₯ 3.1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): ``` - pip install finetune + pip install textpipe ```
Kashgari (πŸ₯‰18 Β· ⭐ 2.1K) - Kashgari is a production-level NLP Transfer learning framework.. Apache-2 -- [GitHub](https://github.com/BrikerMan/Kashgari) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 390 Β· πŸ“¦ 32 Β· πŸ“‹ 350 - 9% open Β· ⏱️ 21.03.2021): +- [GitHub](https://github.com/BrikerMan/Kashgari) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 400 Β· πŸ“¦ 34 Β· πŸ“‹ 350 - 9% open Β· ⏱️ 21.03.2021): ``` git clone https://github.com/BrikerMan/Kashgari ``` -- [PyPi](https://pypi.org/project/kashgari-tf) (πŸ“₯ 120 / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2019): +- [PyPi](https://pypi.org/project/kashgari-tf) (πŸ“₯ 98 / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2019): ``` pip install kashgari-tf ```
Camphr (πŸ₯‰18 Β· ⭐ 330) - spaCy plugin for Transformers , Udify, ELmo, etc. Apache-2 spacy -- [GitHub](https://github.com/PKSHATechnology-Research/camphr) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 17 Β· πŸ“‹ 34 - 35% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/PKSHATechnology-Research/camphr) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 17 Β· πŸ“‹ 30 - 23% open Β· ⏱️ 21.05.2021): ``` git clone https://github.com/PKSHATechnology-Research/camphr ``` -- [PyPi](https://pypi.org/project/camphr) (πŸ“₯ 380 / month Β· ⏱️ 05.03.2021): +- [PyPi](https://pypi.org/project/camphr) (πŸ“₯ 500 / month Β· ⏱️ 05.03.2021): ``` pip install camphr ```
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skift (πŸ₯‰17 Β· ⭐ 220) - scikit-learn wrappers for Python fastText. MIT +
VizSeq (πŸ₯‰16 Β· ⭐ 340) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT + +- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 40 Β· πŸ“¦ 2 Β· πŸ“‹ 15 - 46% open Β· ⏱️ 28.05.2021): + + ``` + git clone https://github.com/facebookresearch/vizseq + ``` +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 220 / month Β· ⏱️ 07.08.2020): + ``` + pip install vizseq + ``` +
+
skift (πŸ₯‰16 Β· ⭐ 220) - scikit-learn wrappers for Python fastText. MIT - [GitHub](https://github.com/shaypal5/skift) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 22 Β· πŸ“¦ 8 Β· πŸ“‹ 10 - 20% open Β· ⏱️ 31.03.2021): ``` git clone https://github.com/shaypal5/skift ``` -- [PyPi](https://pypi.org/project/skift) (πŸ“₯ 430 / month Β· ⏱️ 27.08.2020): +- [PyPi](https://pypi.org/project/skift) (πŸ“₯ 420 / month Β· ⏱️ 27.08.2020): ``` pip install skift ```
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VizSeq (πŸ₯‰16 Β· ⭐ 330) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
OpenNRE (πŸ₯‰15 Β· ⭐ 3.1K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT -- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 40 Β· πŸ“¦ 2 Β· πŸ“‹ 15 - 46% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/thunlp/OpenNRE) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 860 Β· πŸ“‹ 330 - 6% open Β· ⏱️ 31.05.2021): ``` - git clone https://github.com/facebookresearch/vizseq - ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 230 / month Β· ⏱️ 07.08.2020): - ``` - pip install vizseq + git clone https://github.com/thunlp/OpenNRE ```
Translate (πŸ₯‰15 Β· ⭐ 700) - Translate - a PyTorch Language Library. BSD-3 @@ -2330,19 +2338,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/pytorch/translate ``` -- [PyPi](https://pypi.org/project/pytorch-translate) (πŸ“₯ 16 / month Β· ⏱️ 01.05.2018): +- [PyPi](https://pypi.org/project/pytorch-translate) (πŸ“₯ 14 / month Β· ⏱️ 01.05.2018): ``` pip install pytorch-translate ```
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NeuralQA (πŸ₯‰15 Β· ⭐ 190) - NeuralQA: A Usable Library for Question Answering on Large Datasets with.. MIT +
NeuralQA (πŸ₯‰15 Β· ⭐ 200) - NeuralQA: A Usable Library for Question Answering on Large Datasets with.. MIT - [GitHub](https://github.com/victordibia/neuralqa) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 27 Β· πŸ“¦ 2 Β· πŸ“‹ 34 - 76% open Β· ⏱️ 16.12.2020): ``` git clone https://github.com/victordibia/neuralqa ``` -- [PyPi](https://pypi.org/project/neuralqa) (πŸ“₯ 84 / month Β· ⏱️ 18.09.2020): +- [PyPi](https://pypi.org/project/neuralqa) (πŸ“₯ 54 / month Β· ⏱️ 18.09.2020): ``` pip install neuralqa ``` @@ -2354,53 +2362,34 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/textvec/textvec ``` -- [PyPi](https://pypi.org/project/textvec) (πŸ“₯ 160 / month Β· ⏱️ 03.12.2020): +- [PyPi](https://pypi.org/project/textvec) (πŸ“₯ 200 / month Β· ⏱️ 03.12.2020): ``` pip install textvec ```
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OpenNRE (πŸ₯‰14 Β· ⭐ 3.1K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - -- [GitHub](https://github.com/thunlp/OpenNRE) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 860 Β· πŸ“‹ 310 - 8% open Β· ⏱️ 09.03.2021): - - ``` - git clone https://github.com/thunlp/OpenNRE - ``` -
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TransferNLP (πŸ₯‰14 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT +
ONNX-T5 (πŸ₯‰15 Β· ⭐ 160) - Summarization, translation, sentiment-analysis, text-generation and.. Apache-2 -- [GitHub](https://github.com/feedly/transfer-nlp) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 18 Β· πŸ“‹ 24 - 16% open Β· ⏱️ 28.05.2020): - - ``` - git clone https://github.com/feedly/transfer-nlp - ``` -- [PyPi](https://pypi.org/project/transfer-nlp) (πŸ“₯ 120 / month Β· ⏱️ 28.05.2020): - ``` - pip install transfer-nlp - ``` -
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ONNX-T5 (πŸ₯‰14 Β· ⭐ 150) - Summarization, translation, sentiment-analysis, text-generation and.. Apache-2 - -- [GitHub](https://github.com/abelriboulot/onnxt5) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 19 Β· πŸ“‹ 11 - 45% open Β· ⏱️ 28.01.2021): +- [GitHub](https://github.com/abelriboulot/onnxt5) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 21 Β· πŸ“‹ 12 - 50% open Β· ⏱️ 28.01.2021): ``` git clone https://github.com/abelriboulot/onnxt5 ``` -- [PyPi](https://pypi.org/project/onnxt5) (πŸ“₯ 120 / month Β· ⏱️ 28.01.2021): +- [PyPi](https://pypi.org/project/onnxt5) (πŸ“₯ 150 / month Β· ⏱️ 28.01.2021): ``` pip install onnxt5 ```
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Show 8 hidden projects... +
Show 9 hidden projects... -- fuzzywuzzy (πŸ₯ˆ30 Β· ⭐ 8.1K) - Fuzzy String Matching in Python. ❗️GPL-2.0 +- fuzzywuzzy (πŸ₯‡31 Β· ⭐ 8.1K) - Fuzzy String Matching in Python. ❗️GPL-2.0 - langid (πŸ₯ˆ27 Β· ⭐ 1.8K Β· πŸ’€) - Stand-alone language identification system. BSD-3 - polyglot (πŸ₯ˆ26 Β· ⭐ 1.8K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 -- MatchZoo (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 -- stop-words (πŸ₯‰22 Β· ⭐ 120 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 +- flashtext (πŸ₯‰24 Β· ⭐ 4.8K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT +- stop-words (πŸ₯‰22 Β· ⭐ 130 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 - NeuroNER (πŸ₯‰19 Β· ⭐ 1.6K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - pyfasttext (πŸ₯‰19 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 -- Headliner (πŸ₯‰16 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT +- Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT +- TransferNLP (πŸ₯‰14 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT

@@ -2410,9 +2399,9 @@ _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· ⭐ 8.5K) - The friendly PIL fork (Python Imaging Library). ❗️PIL +
Pillow (πŸ₯‡40 Β· ⭐ 8.6K) - The friendly PIL fork (Python Imaging Library). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.6K Β· πŸ“¦ 460K Β· πŸ“‹ 2.2K - 9% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.6K Β· πŸ“¦ 480K Β· πŸ“‹ 2.2K - 9% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/python-pillow/Pillow @@ -2421,35 +2410,35 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install Pillow ``` -- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 8.4M Β· ⏱️ 08.04.2021): +- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 8.7M Β· ⏱️ 17.05.2021): ``` conda install -c conda-forge pillow ```
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torchvision (πŸ₯‡36 Β· ⭐ 9K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +
torchvision (πŸ₯‡36 Β· ⭐ 9.2K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 4.7K Β· πŸ“¦ 50K Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 4.7K Β· πŸ“¦ 52K Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 1.5M / month Β· πŸ“¦ 4.6K Β· ⏱️ 25.03.2021): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 1.7M / month Β· πŸ“¦ 4.6K Β· ⏱️ 25.03.2021): ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 59K Β· ⏱️ 22.04.2021): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 65K Β· ⏱️ 22.04.2021): ``` conda install -c conda-forge torchvision ```
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scikit-image (πŸ₯‡34 Β· ⭐ 4.3K) - Image processing in Python. BSD-2 +
scikit-image (πŸ₯‡34 Β· ⭐ 4.4K) - Image processing in Python. BSD-2 -- [GitHub](https://github.com/scikit-image/scikit-image) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.8K Β· πŸ“¦ 68K Β· πŸ“‹ 2.2K - 31% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/scikit-image/scikit-image) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.8K Β· πŸ“¦ 70K Β· πŸ“‹ 2.2K - 31% open Β· ⏱️ 21.05.2021): ``` git clone https://github.com/scikit-image/scikit-image ``` -- [PyPi](https://pypi.org/project/scikit-image) (πŸ“₯ 5M / month Β· πŸ“¦ 15K Β· ⏱️ 06.05.2021): +- [PyPi](https://pypi.org/project/scikit-image) (πŸ“₯ 5.8M / month Β· πŸ“¦ 15K Β· ⏱️ 06.05.2021): ``` pip install scikit-image ``` @@ -2460,167 +2449,163 @@ _Libraries for image & video processing, manipulation, and augmentation as well
imgaug (πŸ₯‡32 Β· ⭐ 11K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT -- [GitHub](https://github.com/aleju/imgaug) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 2K Β· πŸ“¦ 6.3K Β· πŸ“‹ 440 - 52% open Β· ⏱️ 01.06.2020): +- [GitHub](https://github.com/aleju/imgaug) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 2.1K Β· πŸ“¦ 6.5K Β· πŸ“‹ 450 - 53% open Β· ⏱️ 01.06.2020): ``` git clone https://github.com/aleju/imgaug ``` -- [PyPi](https://pypi.org/project/imgaug) (πŸ“₯ 280K / month Β· πŸ“¦ 560 Β· ⏱️ 05.02.2020): +- [PyPi](https://pypi.org/project/imgaug) (πŸ“₯ 270K / month Β· πŸ“¦ 560 Β· ⏱️ 05.02.2020): ``` pip install imgaug ``` -- [Conda](https://anaconda.org/conda-forge/imgaug) (πŸ“₯ 40K Β· ⏱️ 14.02.2020): +- [Conda](https://anaconda.org/conda-forge/imgaug) (πŸ“₯ 42K Β· ⏱️ 14.02.2020): ``` conda install -c conda-forge imgaug ```
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imageio (πŸ₯‡32 Β· ⭐ 870) - Python library for reading and writing image data. BSD-2 +
imageio (πŸ₯‡32 Β· ⭐ 880) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 180 Β· πŸ“¦ 41K Β· πŸ“‹ 360 - 20% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 180 Β· πŸ“¦ 42K Β· πŸ“‹ 360 - 20% open Β· ⏱️ 23.05.2021): ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 5.5M / month Β· πŸ“¦ 3.8K Β· ⏱️ 06.07.2020): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 6.3M / month Β· πŸ“¦ 3.8K Β· ⏱️ 06.07.2020): ``` pip install imageio ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 1.9M Β· ⏱️ 06.07.2020): +- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 2M Β· ⏱️ 06.07.2020): ``` conda install -c conda-forge imageio ```
opencv-python (πŸ₯ˆ31 Β· ⭐ 2K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 370 Β· πŸ“‹ 420 - 6% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 380 Β· πŸ“‹ 430 - 6% open Β· ⏱️ 26.05.2021): ``` git clone https://github.com/skvark/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 5.2M / month Β· πŸ“¦ 13K Β· ⏱️ 07.05.2021): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 4.6M / month Β· πŸ“¦ 13K Β· ⏱️ 07.05.2021): ``` pip install opencv-python ```
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MoviePy (πŸ₯ˆ30 Β· ⭐ 7.5K) - Video editing with Python. MIT +
Face Recognition (πŸ₯ˆ30 Β· ⭐ 40K Β· πŸ’€) - The world's simplest facial recognition api for.. MIT -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1K Β· πŸ“¦ 7.4K Β· πŸ“‹ 1.1K - 31% open Β· ⏱️ 15.04.2021): +- [GitHub](https://github.com/ageitgey/face_recognition) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 11K Β· πŸ“₯ 440 Β· πŸ“‹ 1.1K - 52% open Β· ⏱️ 26.09.2020): ``` - git clone https://github.com/Zulko/moviepy + git clone https://github.com/ageitgey/face_recognition ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 670K / month Β· πŸ“¦ 1.1K Β· ⏱️ 05.10.2020): +- [PyPi](https://pypi.org/project/face_recognition) (πŸ“₯ 62K / month Β· πŸ“¦ 410 Β· ⏱️ 21.08.2018): ``` - pip install moviepy + pip install face_recognition ``` -- [Conda](https://anaconda.org/conda-forge/moviepy) (πŸ“₯ 80K Β· ⏱️ 23.02.2020): +
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Albumentations (πŸ₯ˆ30 Β· ⭐ 8.1K Β· πŸ“ˆ) - Fast image augmentation library and an easy-to-use.. MIT + +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1K Β· πŸ“¦ 3.9K Β· πŸ“‹ 470 - 43% open Β· ⏱️ 01.06.2021): + ``` - conda install -c conda-forge moviepy + git clone https://github.com/albumentations-team/albumentations + ``` +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 160K / month Β· πŸ“¦ 130 Β· ⏱️ 01.06.2021): + ``` + pip install albumentations + ``` +- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 19K Β· ⏱️ 01.06.2021): + ``` + conda install -c conda-forge albumentations ```
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Wand (πŸ₯ˆ30 Β· ⭐ 1.1K) - The ctypes-based simple ImageMagick binding for Python. MIT +
MoviePy (πŸ₯ˆ30 Β· ⭐ 7.5K) - Video editing with Python. MIT -- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 180 Β· πŸ“₯ 5.2K Β· πŸ“¦ 4.5K Β· πŸ“‹ 340 - 4% open Β· ⏱️ 29.03.2021): +- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1K Β· πŸ“¦ 7.7K Β· πŸ“‹ 1.1K - 31% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/emcconville/wand + git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 290K / month Β· πŸ“¦ 1.2K Β· ⏱️ 28.02.2021): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 820K / month Β· πŸ“¦ 1.1K Β· ⏱️ 05.10.2020): ``` - pip install wand + pip install moviepy + ``` +- [Conda](https://anaconda.org/conda-forge/moviepy) (πŸ“₯ 82K Β· ⏱️ 23.02.2020): + ``` + conda install -c conda-forge moviepy ```
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Face Recognition (πŸ₯ˆ29 Β· ⭐ 40K Β· πŸ’€) - The world's simplest facial recognition api for.. MIT +
Wand (πŸ₯ˆ30 Β· ⭐ 1.1K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/ageitgey/face_recognition) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 11K Β· πŸ“₯ 440 Β· πŸ“‹ 1.1K - 52% open Β· ⏱️ 26.09.2020): +- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 180 Β· πŸ“₯ 5.2K Β· πŸ“¦ 4.8K Β· πŸ“‹ 350 - 4% open Β· ⏱️ 03.06.2021): ``` - git clone https://github.com/ageitgey/face_recognition + git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/face_recognition) (πŸ“₯ 50K / month Β· πŸ“¦ 410 Β· ⏱️ 21.08.2018): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 320K / month Β· πŸ“¦ 1.2K Β· ⏱️ 28.02.2021): ``` - pip install face_recognition + pip install wand ```
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detectron2 (πŸ₯ˆ29 Β· ⭐ 16K) - Detectron2 is FAIR's next-generation platform for object.. Apache-2 +
detectron2 (πŸ₯ˆ29 Β· ⭐ 17K) - Detectron2 is FAIR's next-generation platform for object.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4.2K Β· πŸ“¦ 230 Β· πŸ“‹ 2.4K - 4% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4.3K Β· πŸ“¦ 250 Β· πŸ“‹ 2.5K - 3% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/facebookresearch/detectron2 ``` -- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 19K Β· ⏱️ 30.04.2021): +- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 21K Β· ⏱️ 30.04.2021): ``` conda install -c conda-forge detectron2 ```
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ImageHash (πŸ₯ˆ29 Β· ⭐ 2K) - A Python Perceptual Image Hashing Module. BSD-2 +
Kornia (πŸ₯ˆ29 Β· ⭐ 4.1K) - Open Source Differentiable Computer Vision Library for PyTorch. Apache-2 -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 260 Β· πŸ“¦ 2.5K Β· πŸ“‹ 98 - 22% open Β· ⏱️ 03.01.2021): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 400 Β· πŸ“₯ 20 Β· πŸ“¦ 420 Β· πŸ“‹ 410 - 22% open Β· ⏱️ 01.06.2021): ``` - git clone https://github.com/JohannesBuchner/imagehash + git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 780K / month Β· πŸ“¦ 530 Β· ⏱️ 19.11.2020): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 89K / month Β· ⏱️ 30.05.2021): ``` - pip install ImageHash - ``` -- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 120K Β· ⏱️ 19.11.2020): - ``` - conda install -c conda-forge imagehash + pip install kornia ```
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PyTorch Image Models (πŸ₯ˆ28 Β· ⭐ 9.6K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 +
PyTorch Image Models (πŸ₯ˆ28 Β· ⭐ 11K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/rwightman/pytorch-image-models) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 1.4K Β· πŸ“₯ 360K Β· πŸ“¦ 540 Β· πŸ“‹ 310 - 9% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/rwightman/pytorch-image-models) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 1.5K Β· πŸ“₯ 410K Β· πŸ“¦ 620 Β· πŸ“‹ 320 - 9% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/rwightman/pytorch-image-models ```
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Albumentations (πŸ₯ˆ28 Β· ⭐ 7.9K) - Fast image augmentation library and an easy-to-use wrapper.. MIT +
imageai (πŸ₯ˆ28 Β· ⭐ 6.2K) - A python library built to empower developers to build applications and.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1K Β· πŸ“¦ 3.6K Β· πŸ“‹ 440 - 41% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 1.7K Β· πŸ“₯ 590K Β· πŸ“¦ 840 Β· πŸ“‹ 620 - 33% open Β· ⏱️ 08.05.2021): ``` - git clone https://github.com/albumentations-team/albumentations - ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 160K / month Β· πŸ“¦ 130 Β· ⏱️ 29.11.2020): - ``` - pip install albumentations + git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 18K Β· ⏱️ 29.11.2020): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 11K / month Β· πŸ“¦ 24 Β· ⏱️ 05.01.2021): ``` - conda install -c conda-forge albumentations + pip install imageai ```
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GluonCV (πŸ₯ˆ28 Β· ⭐ 4.7K) - Gluon CV Toolkit. Apache-2 +
GluonCV (πŸ₯ˆ28 Β· ⭐ 4.8K) - Gluon CV Toolkit. Apache-2 -- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.1K Β· πŸ“¦ 480 Β· πŸ“‹ 770 - 49% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.1K Β· πŸ“¦ 510 Β· πŸ“‹ 770 - 15% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/dmlc/gluon-cv ``` -- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 65K / month Β· πŸ“¦ 30 Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 62K / month Β· πŸ“¦ 30 Β· ⏱️ 03.06.2021): ``` pip install gluoncv ```
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Kornia (πŸ₯ˆ28 Β· ⭐ 4K) - Open Source Differentiable Computer Vision Library for PyTorch. Apache-2 - -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 400 Β· πŸ“¦ 370 Β· πŸ“‹ 400 - 24% open Β· ⏱️ 11.05.2021): - - ``` - git clone https://github.com/kornia/kornia - ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 57K / month Β· ⏱️ 30.04.2021): - ``` - pip install kornia - ``` -
imutils (πŸ₯ˆ28 Β· ⭐ 3.7K) - A series of convenience functions to make basic image processing.. MIT -- [GitHub](https://github.com/jrosebr1/imutils) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 890 Β· πŸ“¦ 14K Β· πŸ“‹ 210 - 63% open Β· ⏱️ 15.01.2021): +- [GitHub](https://github.com/jrosebr1/imutils) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 900 Β· πŸ“¦ 15K Β· πŸ“‹ 210 - 64% open Β· ⏱️ 15.01.2021): ``` git clone https://github.com/jrosebr1/imutils @@ -2629,103 +2614,83 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install imutils ``` -- [Conda](https://anaconda.org/conda-forge/imutils) (πŸ“₯ 50K Β· ⏱️ 15.01.2021): +- [Conda](https://anaconda.org/conda-forge/imutils) (πŸ“₯ 52K Β· ⏱️ 15.01.2021): ``` conda install -c conda-forge imutils ```
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imageai (πŸ₯ˆ27 Β· ⭐ 6.1K) - A python library built to empower developers to build applications and.. MIT +
ImageHash (πŸ₯ˆ28 Β· ⭐ 2K) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 1.7K Β· πŸ“₯ 580K Β· πŸ“¦ 810 Β· πŸ“‹ 620 - 33% open Β· ⏱️ 08.05.2021): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 260 Β· πŸ“¦ 2.7K Β· πŸ“‹ 98 - 22% open Β· ⏱️ 03.01.2021): ``` - git clone https://github.com/OlafenwaMoses/ImageAI + git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 21K / month Β· πŸ“¦ 24 Β· ⏱️ 05.01.2021): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 760K / month Β· πŸ“¦ 530 Β· ⏱️ 19.11.2020): ``` - pip install imageai + pip install ImageHash ``` -
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MMDetection (πŸ₯ˆ26 Β· ⭐ 15K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 5.1K Β· πŸ“¦ 47 Β· πŸ“‹ 3.8K - 7% open Β· ⏱️ 10.05.2021): - +- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 120K Β· ⏱️ 19.11.2020): ``` - git clone https://github.com/open-mmlab/mmdetection + conda install -c conda-forge imagehash ```
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InsightFace (πŸ₯ˆ26 Β· ⭐ 9.1K) - Face Analysis Project on MXNet and PyTorch. MIT +
InsightFace (πŸ₯ˆ27 Β· ⭐ 9.3K) - Face Analysis Project on MXNet and PyTorch. MIT -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 3.1K Β· πŸ“¦ 68 Β· πŸ“‹ 1.5K - 51% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 3.2K Β· πŸ“¦ 70 Β· πŸ“‹ 1.5K - 51% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/deepinsight/insightface ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 3.8K / month Β· πŸ“¦ 2 Β· ⏱️ 07.09.2019): +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 5.1K / month Β· πŸ“¦ 2 Β· ⏱️ 16.05.2021): ``` pip install insightface ```
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PyTorch3D (πŸ₯ˆ26 Β· ⭐ 4.8K) - PyTorch3D is FAIR's library of reusable components for deep.. MIT +
MMDetection (πŸ₯ˆ26 Β· ⭐ 15K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 -- [GitHub](https://github.com/facebookresearch/pytorch3d) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 580 Β· πŸ“¦ 72 Β· πŸ“‹ 580 - 14% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 5.3K Β· πŸ“¦ 58 Β· πŸ“‹ 3.8K - 7% open Β· ⏱️ 03.06.2021): ``` - git clone https://github.com/facebookresearch/pytorch3d - ``` -- [PyPi](https://pypi.org/project/pytorch3d) (πŸ“₯ 8.8K / month Β· ⏱️ 09.02.2021): - ``` - pip install pytorch3d - ``` -- [Conda](https://anaconda.org/pytorch3d/pytorch3d) (πŸ“₯ 9.9K Β· ⏱️ 09.02.2021): - ``` - conda install -c pytorch3d pytorch3d + git clone https://github.com/open-mmlab/mmdetection ```
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facenet-pytorch (πŸ₯ˆ26 Β· ⭐ 2.1K) - Pretrained Pytorch face detection (MTCNN) and recognition.. MIT +
PyTorch3D (πŸ₯ˆ26 Β· ⭐ 4.9K) - PyTorch3D is FAIR's library of reusable components for deep.. MIT -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 440 Β· πŸ“₯ 94K Β· πŸ“¦ 350 Β· πŸ“‹ 120 - 30% open Β· ⏱️ 27.04.2021): +- [GitHub](https://github.com/facebookresearch/pytorch3d) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 590 Β· πŸ“¦ 76 Β· πŸ“‹ 600 - 14% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/timesler/facenet-pytorch - ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 24K / month Β· πŸ“¦ 6 Β· ⏱️ 10.03.2021): + git clone https://github.com/facebookresearch/pytorch3d ``` - pip install facenet-pytorch +- [PyPi](https://pypi.org/project/pytorch3d) (πŸ“₯ 8.7K / month Β· ⏱️ 09.02.2021): ``` -
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Face Alignment (πŸ₯‰24 Β· ⭐ 4.9K) - 2D and 3D Face alignment library build using pytorch. BSD-3 - -- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 1.1K Β· πŸ“‹ 240 - 16% open Β· ⏱️ 05.05.2021): - - ``` - git clone https://github.com/1adrianb/face-alignment + pip install pytorch3d ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 6.5K / month Β· πŸ“¦ 12 Β· ⏱️ 28.04.2021): +- [Conda](https://anaconda.org/pytorch3d/pytorch3d) (πŸ“₯ 10K Β· ⏱️ 09.02.2021): ``` - pip install face-alignment + conda install -c pytorch3d pytorch3d ```
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mtcnn (πŸ₯‰24 Β· ⭐ 1.5K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT +
facenet-pytorch (πŸ₯ˆ26 Β· ⭐ 2.1K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 390 Β· πŸ“¦ 1.1K Β· πŸ“‹ 91 - 60% open Β· ⏱️ 13.01.2021): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 460 Β· πŸ“₯ 100K Β· πŸ“¦ 370 Β· πŸ“‹ 130 - 32% open Β· ⏱️ 23.05.2021): ``` - git clone https://github.com/ipazc/mtcnn + git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/mtcnn) (πŸ“₯ 22K / month Β· πŸ“¦ 42 Β· ⏱️ 14.11.2019): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 15K / month Β· πŸ“¦ 6 Β· ⏱️ 10.03.2021): ``` - pip install mtcnn + pip install facenet-pytorch ```
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mahotas (πŸ₯‰24 Β· ⭐ 690) - Computer Vision in Python. MIT +
mahotas (πŸ₯‰25 Β· ⭐ 690) - Computer Vision in Python. MIT -- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 130 Β· πŸ“¦ 630 Β· πŸ“‹ 73 - 21% open Β· ⏱️ 13.01.2021): +- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 130 Β· πŸ“¦ 640 Β· πŸ“‹ 74 - 21% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 47K / month Β· πŸ“¦ 190 Β· ⏱️ 16.08.2020): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 35K / month Β· πŸ“¦ 190 Β· ⏱️ 16.08.2020): ``` pip install mahotas ``` @@ -2734,89 +2699,85 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge mahotas ```
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pyvips (πŸ₯‰24 Β· ⭐ 320) - python binding for libvips using cffi. MIT +
Face Alignment (πŸ₯‰24 Β· ⭐ 5K) - 2D and 3D Face alignment library build using pytorch. BSD-3 -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 26 Β· πŸ“¦ 180 Β· πŸ“‹ 220 - 34% open Β· ⏱️ 24.02.2021): +- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 1.1K Β· πŸ“‹ 240 - 16% open Β· ⏱️ 05.05.2021): ``` - git clone https://github.com/libvips/pyvips - ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 11K / month Β· πŸ“¦ 22 Β· ⏱️ 18.12.2020): - ``` - pip install pyvips + git clone https://github.com/1adrianb/face-alignment ``` -- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 8.7K Β· ⏱️ 14.10.2020): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 6.9K / month Β· πŸ“¦ 12 Β· ⏱️ 28.04.2021): ``` - conda install -c conda-forge pyvips + pip install face-alignment ```
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Torch Points 3D (πŸ₯‰23 Β· ⭐ 1.2K) - Pytorch framework for doing deep learning on point clouds. BSD-3 +
mtcnn (πŸ₯‰24 Β· ⭐ 1.5K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT -- [GitHub](https://github.com/nicolas-chaulet/torch-points3d) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 190 Β· πŸ“¦ 3 Β· πŸ“‹ 230 - 21% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 390 Β· πŸ“¦ 1.2K Β· πŸ“‹ 92 - 60% open Β· ⏱️ 13.01.2021): ``` - git clone https://github.com/nicolas-chaulet/torch-points3d + git clone https://github.com/ipazc/mtcnn ``` -- [PyPi](https://pypi.org/project/torch-points3d) (πŸ“₯ 670 / month Β· ⏱️ 30.04.2021): +- [PyPi](https://pypi.org/project/mtcnn) (πŸ“₯ 24K / month Β· πŸ“¦ 42 Β· ⏱️ 14.11.2019): ``` - pip install torch-points3d + pip install mtcnn ```
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CellProfiler (πŸ₯‰23 Β· ⭐ 560) - An open-source application for biological image analysis. BSD-3 +
Image Super-Resolution (πŸ₯‰23 Β· ⭐ 2.8K) - Super-scale your images and run experiments with.. Apache-2 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 280 Β· πŸ“₯ 940 Β· πŸ“¦ 4 Β· πŸ“‹ 3K - 5% open Β· ⏱️ 16.04.2021): +- [GitHub](https://github.com/idealo/image-super-resolution) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 540 Β· πŸ“¦ 50 Β· πŸ“‹ 180 - 40% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/CellProfiler/CellProfiler + git clone https://github.com/idealo/image-super-resolution ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 540 / month Β· ⏱️ 04.09.2017): +- [PyPi](https://pypi.org/project/ISR) (πŸ“₯ 5.4K / month Β· πŸ“¦ 8 Β· ⏱️ 08.01.2020): ``` - pip install cellprofiler + pip install ISR + ``` +- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (πŸ“₯ 150 Β· ⏱️ 01.04.2019): + ``` + docker pull idealo/image-super-resolution-gpu ```
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Image Deduplicator (πŸ₯‰22 Β· ⭐ 3.6K) - Finding duplicate images made easy!. Apache-2 +
Torch Points 3D (πŸ₯‰23 Β· ⭐ 1.3K) - Pytorch framework for doing deep learning on point clouds. BSD-3 -- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 300 Β· πŸ“¦ 11 Β· πŸ“‹ 77 - 25% open Β· ⏱️ 23.11.2020): +- [GitHub](https://github.com/nicolas-chaulet/torch-points3d) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 200 Β· πŸ“¦ 3 Β· πŸ“‹ 250 - 25% open Β· ⏱️ 01.06.2021): ``` - git clone https://github.com/idealo/imagededup + git clone https://github.com/nicolas-chaulet/torch-points3d ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 2.2K / month Β· πŸ“¦ 2 Β· ⏱️ 22.11.2020): +- [PyPi](https://pypi.org/project/torch-points3d) (πŸ“₯ 640 / month Β· ⏱️ 30.04.2021): ``` - pip install imagededup + pip install torch-points3d ```
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Image Super-Resolution (πŸ₯‰22 Β· ⭐ 2.8K) - Super-scale your images and run experiments with.. Apache-2 +
CellProfiler (πŸ₯‰23 Β· ⭐ 580) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/idealo/image-super-resolution) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 520 Β· πŸ“¦ 49 Β· πŸ“‹ 170 - 40% open Β· ⏱️ 11.11.2020): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 280 Β· πŸ“₯ 1K Β· πŸ“¦ 4 Β· πŸ“‹ 3K - 5% open Β· ⏱️ 21.05.2021): ``` - git clone https://github.com/idealo/image-super-resolution - ``` -- [PyPi](https://pypi.org/project/ISR) (πŸ“₯ 4.9K / month Β· πŸ“¦ 8 Β· ⏱️ 08.01.2020): - ``` - pip install ISR + git clone https://github.com/CellProfiler/CellProfiler ``` -- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (πŸ“₯ 140 Β· ⏱️ 01.04.2019): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 510 / month Β· ⏱️ 04.09.2017): ``` - docker pull idealo/image-super-resolution-gpu + pip install cellprofiler ```
tensorflow-graphics (πŸ₯‰22 Β· ⭐ 2.5K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 -- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 290 Β· πŸ“¦ 1 Β· πŸ“‹ 200 - 56% open Β· ⏱️ 19.04.2021): +- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 290 Β· πŸ“¦ 1 Β· πŸ“‹ 200 - 58% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 2.7K / month Β· πŸ“¦ 3 Β· ⏱️ 20.05.2020): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 3.9K / month Β· πŸ“¦ 3 Β· ⏱️ 20.05.2020): ``` pip install tensorflow-graphics ```
vidgear (πŸ₯‰22 Β· ⭐ 1.8K) - High-performance cross-platform Video Processing Python framework.. Apache-2 -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 120 Β· πŸ“₯ 340 Β· πŸ“¦ 100 Β· πŸ“‹ 150 - 2% open Β· ⏱️ 25.04.2021): +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 130 Β· πŸ“₯ 350 Β· πŸ“¦ 110 Β· πŸ“‹ 150 - 2% open Β· ⏱️ 25.04.2021): ``` git clone https://github.com/abhiTronix/vidgear @@ -2826,86 +2787,106 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install vidgear ```
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MMF (πŸ₯‰21 Β· ⭐ 4.4K) - A modular framework for vision & language multimodal research from.. BSD-3 +
pyvips (πŸ₯‰22 Β· ⭐ 320 Β· πŸ“‰) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 660 Β· πŸ“¦ 7 Β· πŸ“‹ 490 - 23% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 26 Β· πŸ“¦ 190 Β· πŸ“‹ 220 - 34% open Β· ⏱️ 24.02.2021): ``` - git clone https://github.com/facebookresearch/mmf + git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 440 / month Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 9.9K / month Β· πŸ“¦ 22 Β· ⏱️ 18.12.2020): ``` - pip install mmf + pip install pyvips + ``` +- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 9K Β· ⏱️ 14.10.2020): + ``` + conda install -c conda-forge pyvips ```
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vit-pytorch (πŸ₯‰21 Β· ⭐ 4.2K) - Implementation of Vision Transformer, a simple way to achieve.. MIT +
vit-pytorch (πŸ₯‰21 Β· ⭐ 4.5K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 480 Β· πŸ“¦ 17 Β· πŸ“‹ 100 - 42% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 540 Β· πŸ“¦ 19 Β· πŸ“‹ 110 - 41% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 3.7K / month Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 3.6K / month Β· ⏱️ 01.06.2021): ``` pip install vit-pytorch ```
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lightly (πŸ₯‰21 Β· ⭐ 820) - A python library for self-supervised learning on images. MIT +
MMF (πŸ₯‰21 Β· ⭐ 4.4K) - A modular framework for vision & language multimodal research from.. BSD-3 -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 49 Β· πŸ“¦ 12 Β· πŸ“‹ 160 - 24% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 680 Β· πŸ“¦ 7 Β· πŸ“‹ 530 - 27% open Β· ⏱️ 03.06.2021): ``` - git clone https://github.com/lightly-ai/lightly + git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 3.3K / month Β· ⏱️ 07.05.2021): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 190 / month Β· ⏱️ 12.06.2020): ``` - pip install lightly + pip install mmf ```
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Caer (πŸ₯‰21 Β· ⭐ 490) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT +
Image Deduplicator (πŸ₯‰21 Β· ⭐ 3.6K Β· πŸ’€) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/jasmcaus/caer) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 62 Β· πŸ“₯ 14 Β· πŸ“‹ 14 - 35% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 300 Β· πŸ“¦ 12 Β· πŸ“‹ 77 - 25% open Β· ⏱️ 23.11.2020): ``` - git clone https://github.com/jasmcaus/caer + git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 19K / month Β· ⏱️ 28.01.2021): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 4.8K / month Β· πŸ“¦ 2 Β· ⏱️ 22.11.2020): ``` - pip install caer + pip install imagededup ```
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PaddleDetection (πŸ₯‰20 Β· ⭐ 3.6K) - Object detection and instance segmentation toolkit.. Apache-2 +
Caer (πŸ₯‰21 Β· ⭐ 500) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 900 Β· πŸ“¦ 5 Β· πŸ“‹ 1.6K - 21% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/jasmcaus/caer) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 83 Β· πŸ“₯ 14 Β· πŸ“‹ 13 - 23% open Β· ⏱️ 29.05.2021): ``` - git clone https://github.com/PaddlePaddle/PaddleDetection + git clone https://github.com/jasmcaus/caer + ``` +- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 10K / month Β· ⏱️ 28.01.2021): + ``` + pip install caer ```
Classy Vision (πŸ₯‰20 Β· ⭐ 1.3K) - An end-to-end PyTorch framework for image and video.. MIT -- [GitHub](https://github.com/facebookresearch/ClassyVision) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 220 Β· πŸ“‹ 110 - 49% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/facebookresearch/ClassyVision) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 220 Β· πŸ“‹ 110 - 49% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/facebookresearch/ClassyVision ``` -- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 210 / month Β· ⏱️ 20.11.2020): +- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 310 / month Β· ⏱️ 20.11.2020): ``` pip install classy_vision ``` -- [Conda](https://anaconda.org/conda-forge/classy_vision) (πŸ“₯ 7.4K Β· ⏱️ 11.12.2020): +- [Conda](https://anaconda.org/conda-forge/classy_vision) (πŸ“₯ 7.7K Β· ⏱️ 11.12.2020): ``` conda install -c conda-forge classy_vision ```
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nude.py (πŸ₯‰20 Β· ⭐ 800) - Nudity detection with Python. MIT +
lightly (πŸ₯‰20 Β· ⭐ 840) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/hhatto/nude.py) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 130 Β· πŸ“¦ 230 Β· πŸ“‹ 8 - 75% open Β· ⏱️ 23.11.2020): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 49 Β· πŸ“¦ 13 Β· πŸ“‹ 180 - 24% open Β· ⏱️ 03.06.2021): + + ``` + git clone https://github.com/lightly-ai/lightly + ``` +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 1.1K / month Β· ⏱️ 28.05.2021): + ``` + pip install lightly + ``` +
+
nude.py (πŸ₯‰20 Β· ⭐ 800 Β· πŸ’€) - Nudity detection with Python. MIT + +- [GitHub](https://github.com/hhatto/nude.py) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 130 Β· πŸ“¦ 310 Β· πŸ“‹ 9 - 77% open Β· ⏱️ 23.11.2020): ``` git clone https://github.com/hhatto/nude.py ``` -- [PyPi](https://pypi.org/project/nudepy) (πŸ“₯ 1.8K / month Β· πŸ“¦ 18 Β· ⏱️ 23.11.2020): +- [PyPi](https://pypi.org/project/nudepy) (πŸ“₯ 4.7K / month Β· πŸ“¦ 18 Β· ⏱️ 23.11.2020): ``` pip install nudepy ``` @@ -2917,42 +2898,50 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/EdjoLabs/image-match ``` -- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 590 / month Β· πŸ“¦ 6 Β· ⏱️ 13.02.2017): +- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 920 / month Β· πŸ“¦ 6 Β· ⏱️ 13.02.2017): ``` pip install image_match ```
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Norfair (πŸ₯‰18 Β· ⭐ 980) - Lightweight Python library for adding real-time 2D object tracking to.. BSD-3 +
PaddleDetection (πŸ₯‰18 Β· ⭐ 4.1K) - Object detection and instance segmentation toolkit.. Apache-2 + +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 990 Β· πŸ“¦ 5 Β· πŸ“‹ 1.8K - 21% open Β· ⏱️ 03.06.2021): + + ``` + git clone https://github.com/PaddlePaddle/PaddleDetection + ``` +
+
Norfair (πŸ₯‰18 Β· ⭐ 1K) - Lightweight Python library for adding real-time 2D object tracking to any.. BSD-3 -- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 64 Β· πŸ“‹ 22 - 22% open Β· ⏱️ 16.03.2021): +- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 66 Β· πŸ“‹ 26 - 19% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 800 / month Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 600 / month Β· ⏱️ 31.05.2021): ``` pip install norfair ```
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PySlowFast (πŸ₯‰15 Β· ⭐ 3.7K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 +
pycls (πŸ₯‰17 Β· ⭐ 1.6K Β· πŸ“ˆ) - Codebase for Image Classification Research, written in PyTorch. MIT -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 720 Β· πŸ“¦ 2 Β· πŸ“‹ 400 - 50% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 180 Β· πŸ“¦ 3 Β· πŸ“‹ 64 - 23% open Β· ⏱️ 21.05.2021): ``` - git clone https://github.com/facebookresearch/SlowFast + git clone https://github.com/facebookresearch/pycls ```
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pycls (πŸ₯‰15 Β· ⭐ 1.5K) - Codebase for Image Classification Research, written in PyTorch. MIT +
PySlowFast (πŸ₯‰16 Β· ⭐ 3.8K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 -- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 170 Β· πŸ“¦ 3 Β· πŸ“‹ 59 - 25% open Β· ⏱️ 05.05.2021): +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 720 Β· πŸ“¦ 4 Β· πŸ“‹ 400 - 50% open Β· ⏱️ 03.06.2021): ``` - git clone https://github.com/facebookresearch/pycls + git clone https://github.com/facebookresearch/SlowFast ```
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DEβ«ΆTR (πŸ₯‰14 Β· ⭐ 6.9K) - End-to-End Object Detection with Transformers. Apache-2 +
DEβ«ΆTR (πŸ₯‰15 Β· ⭐ 7K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 -- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 1.1K Β· πŸ“‹ 320 - 25% open Β· ⏱️ 15.11.2020): +- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 1.1K Β· πŸ“‹ 330 - 25% open Β· ⏱️ 15.11.2020): ``` git clone https://github.com/facebookresearch/detr @@ -2960,12 +2949,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 6 hidden projects... -- glfw (πŸ₯ˆ30 Β· ⭐ 7.6K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- glfw (πŸ₯ˆ30 Β· ⭐ 7.7K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - Augmentor (πŸ₯‰25 Β· ⭐ 4.4K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT -- chainercv (πŸ₯‰25 Β· ⭐ 1.4K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT +- chainercv (πŸ₯‰25 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - segmentation_models (πŸ₯‰23 Β· ⭐ 3.2K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT - Pillow-SIMD (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - The friendly PIL fork. ❗️PIL -- Luminoth (πŸ₯‰21 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 +- Luminoth (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3

@@ -2975,118 +2964,118 @@ _Libraries for image & video processing, manipulation, and augmentation as well _Libraries for graph processing, clustering, embedding, and machine learning tasks._ -
networkx (πŸ₯‡35 Β· ⭐ 9.1K) - Network Analysis in Python. BSD-3 +
networkx (πŸ₯‡35 Β· ⭐ 9.2K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2.3K Β· πŸ“₯ 54 Β· πŸ“¦ 74K Β· πŸ“‹ 2.6K - 10% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2.3K Β· πŸ“₯ 54 Β· πŸ“¦ 76K Β· πŸ“‹ 2.7K - 10% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 13M / month Β· πŸ“¦ 21K Β· ⏱️ 03.04.2021): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 13M / month Β· πŸ“¦ 21K Β· ⏱️ 31.05.2021): ``` pip install networkx ``` -- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 3.6M Β· ⏱️ 04.04.2021): +- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 3.7M Β· ⏱️ 04.04.2021): ``` conda install -c conda-forge networkx ```
PyTorch Geometric (πŸ₯‡29 Β· ⭐ 11K) - Geometric Deep Learning Extension Library for PyTorch. MIT -- [GitHub](https://github.com/rusty1s/pytorch_geometric) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.9K Β· πŸ“‹ 2K - 38% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/rusty1s/pytorch_geometric) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.9K Β· πŸ“‹ 2K - 38% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/rusty1s/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 38K / month Β· πŸ“¦ 24 Β· ⏱️ 02.12.2020): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 40K / month Β· πŸ“¦ 24 Β· ⏱️ 02.12.2020): ``` pip install torch-geometric ```
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dgl (πŸ₯ˆ27 Β· ⭐ 7.2K) - Python package built to ease deep learning on graph, on top of existing.. Apache-2 +
dgl (πŸ₯ˆ27 Β· ⭐ 7.4K) - Python package built to ease deep learning on graph, on top of existing.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.1K - 24% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.1K - 24% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 40K / month Β· πŸ“¦ 30 Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 40K / month Β· πŸ“¦ 30 Β· ⏱️ 27.05.2021): ``` pip install dgl ```
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StellarGraph (πŸ₯ˆ25 Β· ⭐ 1.9K) - StellarGraph - Machine Learning on Graphs. Apache-2 +
StellarGraph (πŸ₯ˆ26 Β· ⭐ 1.9K) - StellarGraph - Machine Learning on Graphs. Apache-2 -- [GitHub](https://github.com/stellargraph/stellargraph) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 270 Β· πŸ“¦ 63 Β· πŸ“‹ 950 - 24% open Β· ⏱️ 18.02.2021): +- [GitHub](https://github.com/stellargraph/stellargraph) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 280 Β· πŸ“¦ 67 Β· πŸ“‹ 950 - 24% open Β· ⏱️ 18.02.2021): ``` git clone https://github.com/stellargraph/stellargraph ``` -- [PyPi](https://pypi.org/project/stellargraph) (πŸ“₯ 7.5K / month Β· πŸ“¦ 4 Β· ⏱️ 30.06.2020): +- [PyPi](https://pypi.org/project/stellargraph) (πŸ“₯ 8.6K / month Β· πŸ“¦ 4 Β· ⏱️ 30.06.2020): ``` pip install stellargraph ```
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Spektral (πŸ₯ˆ24 Β· ⭐ 1.7K) - Graph Neural Networks with Keras and Tensorflow 2. MIT +
Spektral (πŸ₯ˆ24 Β· ⭐ 1.8K) - Graph Neural Networks with Keras and Tensorflow 2. MIT -- [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 220 Β· πŸ“¦ 51 Β· πŸ“‹ 150 - 15% open Β· ⏱️ 24.03.2021): +- [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 220 Β· πŸ“¦ 55 Β· πŸ“‹ 160 - 17% open Β· ⏱️ 24.03.2021): ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 3.2K / month Β· ⏱️ 20.03.2021): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 3.4K / month Β· ⏱️ 20.03.2021): ``` pip install spektral ```
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ogb (πŸ₯ˆ23 Β· ⭐ 930) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT +
AmpliGraph (πŸ₯ˆ23 Β· ⭐ 1.5K) - Python library for Representation Learning on Knowledge.. Apache-2 -- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 180 Β· πŸ“¦ 90 Β· πŸ“‹ 140 - 2% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 170 Β· πŸ“¦ 14 Β· πŸ“‹ 200 - 11% open Β· ⏱️ 25.05.2021): ``` - git clone https://github.com/snap-stanford/ogb + git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 6.4K / month Β· ⏱️ 07.04.2021): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.3K / month Β· ⏱️ 25.05.2021): ``` - pip install ogb + pip install ampligraph ```
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Node2Vec (πŸ₯ˆ23 Β· ⭐ 690) - Implementation of the node2vec algorithm. MIT +
ogb (πŸ₯ˆ23 Β· ⭐ 950) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 180 Β· πŸ“¦ 130 Β· πŸ“‹ 59 - 5% open Β· ⏱️ 16.04.2021): +- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 190 Β· πŸ“¦ 100 Β· πŸ“‹ 150 - 2% open Β· ⏱️ 24.05.2021): ``` - git clone https://github.com/eliorc/node2vec - ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 10K / month Β· πŸ“¦ 10 Β· ⏱️ 02.04.2021): - ``` - pip install node2vec + git clone https://github.com/snap-stanford/ogb ``` -- [Conda](https://anaconda.org/conda-forge/node2vec) (πŸ“₯ 17K Β· ⏱️ 25.04.2020): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 7K / month Β· ⏱️ 07.04.2021): ``` - conda install -c conda-forge node2vec + pip install ogb ```
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AmpliGraph (πŸ₯ˆ22 Β· ⭐ 1.5K Β· πŸ’€) - Python library for Representation Learning on Knowledge.. Apache-2 +
Node2Vec (πŸ₯ˆ23 Β· ⭐ 710) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 160 Β· πŸ“¦ 13 Β· πŸ“‹ 190 - 13% open Β· ⏱️ 25.08.2020): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 180 Β· πŸ“¦ 140 Β· πŸ“‹ 62 - 4% open Β· ⏱️ 16.04.2021): ``` - git clone https://github.com/Accenture/AmpliGraph + git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.5K / month Β· ⏱️ 25.08.2020): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 17K / month Β· πŸ“¦ 10 Β· ⏱️ 02.04.2021): ``` - pip install ampligraph + pip install node2vec + ``` +- [Conda](https://anaconda.org/conda-forge/node2vec) (πŸ“₯ 18K Β· ⏱️ 25.04.2020): + ``` + conda install -c conda-forge node2vec ```
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torch-cluster (πŸ₯ˆ22 Β· ⭐ 370) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +
torch-cluster (πŸ₯ˆ22 Β· ⭐ 380) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 72 Β· πŸ“‹ 79 - 49% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 74 Β· πŸ“‹ 81 - 49% open Β· ⏱️ 12.05.2021): ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 9.3K / month Β· πŸ“¦ 32 Β· ⏱️ 01.03.2021): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 11K / month Β· πŸ“¦ 32 Β· ⏱️ 01.03.2021): ``` pip install torch-cluster ``` @@ -3098,71 +3087,83 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 730 / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2019): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 920 / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2019): ``` pip install torchbiggraph ```
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PyKEEN (πŸ₯‰19 Β· ⭐ 410) - A Python library for learning and evaluating knowledge graph embeddings. MIT +
graph-nets (πŸ₯‰19 Β· ⭐ 4.9K) - Build Graph Nets in Tensorflow. Apache-2 -- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 63 Β· πŸ“₯ 79 Β· πŸ“‹ 180 - 35% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/deepmind/graph_nets) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 730 Β· πŸ“‹ 120 - 6% open Β· ⏱️ 04.12.2020): ``` - git clone https://github.com/pykeen/pykeen + git clone https://github.com/deepmind/graph_nets ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 580 / month Β· πŸ“¦ 2 Β· ⏱️ 15.02.2021): +- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 1.3K / month Β· πŸ“¦ 7 Β· ⏱️ 29.01.2020): ``` - pip install pykeen + pip install graph-nets ```
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graph-nets (πŸ₯‰18 Β· ⭐ 4.9K) - Build Graph Nets in Tensorflow. Apache-2 +
Paddle Graph Learning (πŸ₯‰19 Β· ⭐ 1K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 -- [GitHub](https://github.com/deepmind/graph_nets) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 730 Β· πŸ“‹ 120 - 6% open Β· ⏱️ 04.12.2020): +- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 150 Β· πŸ“¦ 17 Β· πŸ“‹ 70 - 38% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/deepmind/graph_nets + git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 990 / month Β· πŸ“¦ 7 Β· ⏱️ 29.01.2020): +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 800 / month Β· πŸ“¦ 2 Β· ⏱️ 12.05.2021): ``` - pip install graph-nets + pip install pgl ```
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Paddle Graph Learning (πŸ₯‰18 Β· ⭐ 1K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 +
PyKEEN (πŸ₯‰19 Β· ⭐ 430) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 140 Β· πŸ“¦ 14 Β· πŸ“‹ 64 - 40% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 64 Β· πŸ“₯ 79 Β· πŸ“‹ 200 - 31% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/PaddlePaddle/PGL + git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 850 / month Β· πŸ“¦ 2 Β· ⏱️ 12.05.2021): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 690 / month Β· πŸ“¦ 2 Β· ⏱️ 15.02.2021): ``` - pip install pgl + pip install pykeen ```
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pytorch_geometric_temporal (πŸ₯‰18 Β· ⭐ 710) - A Temporal Extension Library for PyTorch Geometric. MIT +
pytorch_geometric_temporal (πŸ₯‰18 Β· ⭐ 780) - A Temporal Extension Library for PyTorch Geometric. MIT -- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 88 Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 92 Β· πŸ“‹ 36 - 2% open Β· ⏱️ 24.05.2021): ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 790 / month Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 980 / month Β· ⏱️ 19.05.2021): ``` pip install torch-geometric-temporal ```
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DeepGraph (πŸ₯‰16 Β· ⭐ 230 Β· πŸ’€) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 +
kglib (πŸ₯‰16 Β· ⭐ 430) - Grakn Knowledge Graph Library (ML R&D). Apache-2 + +- [GitHub](https://github.com/vaticle/kglib) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 82 Β· πŸ“₯ 210 Β· πŸ“‹ 57 - 14% open Β· ⏱️ 15.01.2021): + + ``` + git clone https://github.com/graknlabs/kglib + ``` +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 100 / month Β· ⏱️ 19.08.2020): + ``` + pip install grakn-kglib + ``` +
+
DeepGraph (πŸ₯‰16 Β· ⭐ 240 Β· πŸ’€) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - [GitHub](https://github.com/deepgraph/deepgraph) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 35 Β· πŸ“¦ 1 Β· πŸ“‹ 13 - 61% open Β· ⏱️ 01.10.2020): ``` git clone https://github.com/deepgraph/deepgraph ``` -- [PyPi](https://pypi.org/project/deepgraph) (πŸ“₯ 340 / month Β· ⏱️ 01.10.2020): +- [PyPi](https://pypi.org/project/deepgraph) (πŸ“₯ 850 / month Β· ⏱️ 01.10.2020): ``` pip install deepgraph ``` -- [Conda](https://anaconda.org/conda-forge/deepgraph) (πŸ“₯ 93K Β· ⏱️ 15.01.2021): +- [Conda](https://anaconda.org/conda-forge/deepgraph) (πŸ“₯ 96K Β· ⏱️ 15.01.2021): ``` conda install -c conda-forge deepgraph ``` @@ -3174,49 +3175,37 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/alibaba/euler ``` -- [PyPi](https://pypi.org/project/euler-gl) (πŸ“₯ 18 / month Β· ⏱️ 10.04.2019): +- [PyPi](https://pypi.org/project/euler-gl) (πŸ“₯ 20 / month Β· ⏱️ 10.04.2019): ``` pip install euler-gl ```
GraphEmbedding (πŸ₯‰15 Β· ⭐ 2K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT -- [GitHub](https://github.com/shenweichen/GraphEmbedding) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 600 Β· πŸ“¦ 8 Β· πŸ“‹ 42 - 69% open Β· ⏱️ 18.10.2020): +- [GitHub](https://github.com/shenweichen/GraphEmbedding) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 620 Β· πŸ“¦ 9 Β· πŸ“‹ 49 - 71% open Β· ⏱️ 18.10.2020): ``` git clone https://github.com/shenweichen/GraphEmbedding ```
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AutoGL (πŸ₯‰15 Β· ⭐ 630 Β· 🐣) - An autoML framework & toolkit for machine learning on graphs. MIT +
OpenKE (πŸ₯‰14 Β· ⭐ 2.6K) - An Open-Source Package for Knowledge Embedding (KE). MIT -- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 65 Β· πŸ“‹ 9 - 55% open Β· ⏱️ 10.04.2021): +- [GitHub](https://github.com/thunlp/OpenKE) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 790 Β· πŸ“‹ 300 - 21% open Β· ⏱️ 06.04.2021): ``` - git clone https://github.com/THUMNLab/AutoGL - ``` -- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 51 / month Β· ⏱️ 23.12.2020): - ``` - pip install auto-graph-learning + git clone https://github.com/thunlp/OpenKE ```
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kglib (πŸ₯‰15 Β· ⭐ 430) - Grakn Knowledge Graph Library (ML R&D). Apache-2 +
AutoGL (πŸ₯‰14 Β· ⭐ 640) - An autoML framework & toolkit for machine learning on graphs. MIT -- [GitHub](https://github.com/vaticle/kglib) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 82 Β· πŸ“₯ 210 Β· πŸ“‹ 57 - 14% open Β· ⏱️ 15.01.2021): +- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 69 Β· πŸ“‹ 9 - 55% open Β· ⏱️ 10.04.2021): ``` - git clone https://github.com/graknlabs/kglib - ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 110 / month Β· ⏱️ 19.08.2020): - ``` - pip install grakn-kglib + git clone https://github.com/THUMNLab/AutoGL ``` -
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OpenKE (πŸ₯‰14 Β· ⭐ 2.6K) - An Open-Source Package for Knowledge Embedding (KE). MIT - -- [GitHub](https://github.com/thunlp/OpenKE) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 790 Β· πŸ“‹ 300 - 22% open Β· ⏱️ 06.04.2021): - +- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 49 / month Β· ⏱️ 23.12.2020): ``` - git clone https://github.com/thunlp/OpenKE + pip install auto-graph-learning ```
GraphVite (πŸ₯‰12 Β· ⭐ 910) - GraphVite: A General and High-performance Graph Embedding System. Apache-2 @@ -3226,21 +3215,21 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/DeepGraphLearning/graphvite ``` -- [Conda](https://anaconda.org/milagraph/graphvite) (πŸ“₯ 3.7K Β· ⏱️ 19.03.2020): +- [Conda](https://anaconda.org/milagraph/graphvite) (πŸ“₯ 3.8K Β· ⏱️ 19.03.2020): ``` conda install -c milagraph graphvite ```
Show 8 hidden projects... -- igraph (πŸ₯‡28 Β· ⭐ 810) - Python interface for igraph. ❗️GPL-2.0 -- pygal (πŸ₯ˆ27 Β· ⭐ 2.3K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 -- Karate Club (πŸ₯ˆ22 Β· ⭐ 1.2K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 -- DeepWalk (πŸ₯‰20 Β· ⭐ 2.2K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 -- Sematch (πŸ₯‰17 Β· ⭐ 350 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 -- pyRDF2Vec (πŸ₯‰16 Β· ⭐ 110) - Python Implementation and Extension of RDF2Vec. MIT -- OpenNE (πŸ₯‰14 Β· ⭐ 1.5K Β· πŸ’€) - An Open-Source Package for Network Embedding (NE). MIT -- GraphSAGE (πŸ₯‰13 Β· ⭐ 2.3K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT +- igraph (πŸ₯‡28 Β· ⭐ 830) - Python interface for igraph. ❗️GPL-2.0 +- pygal (πŸ₯ˆ27 Β· ⭐ 2.4K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- Karate Club (πŸ₯ˆ22 Β· ⭐ 1.3K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 +- DeepWalk (πŸ₯‰20 Β· ⭐ 2.3K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 +- Sematch (πŸ₯‰16 Β· ⭐ 350 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 +- pyRDF2Vec (πŸ₯‰16 Β· ⭐ 120) - Python Implementation and Extension of RDF2Vec. MIT +- GraphSAGE (πŸ₯‰14 Β· ⭐ 2.3K 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

@@ -3250,26 +3239,14 @@ _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._ -
DeepSpeech (πŸ₯‡31 Β· ⭐ 17K Β· πŸ“ˆ) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +
Pydub (πŸ₯‡31 Β· ⭐ 5.4K) - Manipulate audio with a simple and easy high level interface. MIT -- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.1K Β· πŸ“₯ 540K Β· πŸ“¦ 470 Β· πŸ“‹ 2K - 5% open Β· ⏱️ 28.04.2021): - - ``` - git clone https://github.com/mozilla/DeepSpeech - ``` -- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 11K / month Β· πŸ“¦ 58 Β· ⏱️ 19.12.2020): - ``` - pip install deepspeech - ``` -
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Pydub (πŸ₯‡31 Β· ⭐ 5.3K) - Manipulate audio with a simple and easy high level interface. MIT - -- [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 720 Β· πŸ“¦ 7K Β· πŸ“‹ 440 - 44% open Β· ⏱️ 21.04.2021): +- [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 720 Β· πŸ“¦ 7.3K Β· πŸ“‹ 440 - 44% open Β· ⏱️ 21.04.2021): ``` git clone https://github.com/jiaaro/pydub ``` -- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 770K / month Β· πŸ“¦ 1.4K Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 690K / month Β· πŸ“¦ 1.4K Β· ⏱️ 10.03.2021): ``` pip install pydub ``` @@ -3280,112 +3257,124 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Magenta (πŸ₯‡29 Β· ⭐ 17K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 -- [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 3.4K Β· πŸ“¦ 290 Β· πŸ“‹ 860 - 35% open Β· ⏱️ 19.04.2021): +- [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 3.4K Β· πŸ“¦ 300 Β· πŸ“‹ 860 - 35% open Β· ⏱️ 26.05.2021): ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 5.5K / month Β· πŸ“¦ 70 Β· ⏱️ 12.11.2020): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 4.9K / month Β· πŸ“¦ 70 Β· ⏱️ 12.11.2020): ``` pip install magenta ```
torchaudio (πŸ₯‡29 Β· ⭐ 1.3K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“¦ 2.8K Β· πŸ“‹ 460 - 30% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 320 Β· πŸ“¦ 3.3K Β· πŸ“‹ 470 - 31% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 230K / month Β· πŸ“¦ 18 Β· ⏱️ 25.03.2021): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 240K / month Β· πŸ“¦ 18 Β· ⏱️ 25.03.2021): ``` pip install torchaudio ```
librosa (πŸ₯ˆ28 Β· ⭐ 4.5K) - Python library for audio and music analysis. ISC -- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 740 Β· πŸ“¦ 11K Β· πŸ“‹ 890 - 8% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 740 Β· πŸ“‹ 880 - 5% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 510K / month Β· πŸ“¦ 1.8K Β· ⏱️ 22.07.2020): +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 490K / month Β· πŸ“¦ 1.8K Β· ⏱️ 26.05.2021): ``` pip install librosa ``` -- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 280K Β· ⏱️ 22.07.2020): +- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 290K Β· ⏱️ 26.05.2021): ``` conda install -c conda-forge librosa ```
pyAudioAnalysis (πŸ₯ˆ27 Β· ⭐ 3.9K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 -- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 990 Β· πŸ“¦ 200 Β· πŸ“‹ 280 - 61% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 990 Β· πŸ“¦ 210 Β· πŸ“‹ 280 - 61% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 15K / month Β· πŸ“¦ 22 Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 16K / month Β· πŸ“¦ 22 Β· ⏱️ 13.05.2021): ``` pip install pyAudioAnalysis ```
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audioread (πŸ₯ˆ27 Β· ⭐ 360 Β· πŸ’€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT +
espnet (πŸ₯ˆ27 Β· ⭐ 3.8K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 83 Β· πŸ“¦ 5K Β· πŸ“‹ 75 - 41% open Β· ⏱️ 20.10.2020): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.2K Β· πŸ“₯ 61 Β· πŸ“¦ 10 Β· πŸ“‹ 1.4K - 14% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/beetbox/audioread - ``` -- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 510K / month Β· πŸ“¦ 590 Β· ⏱️ 20.10.2020): - ``` - pip install audioread + git clone https://github.com/espnet/espnet ``` -- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 230K Β· ⏱️ 16.03.2021): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 3.5K / month Β· ⏱️ 29.05.2021): ``` - conda install -c conda-forge audioread + pip install espnet ```
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espnet (πŸ₯ˆ26 Β· ⭐ 3.8K) - End-to-End Speech Processing Toolkit. Apache-2 +
audioread (πŸ₯ˆ26 Β· ⭐ 360 Β· πŸ’€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.1K Β· πŸ“₯ 61 Β· πŸ“¦ 8 Β· πŸ“‹ 1.3K - 12% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 83 Β· πŸ“¦ 5.2K Β· πŸ“‹ 75 - 41% open Β· ⏱️ 20.10.2020): ``` - git clone https://github.com/espnet/espnet + git clone https://github.com/beetbox/audioread ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 2.5K / month Β· ⏱️ 07.04.2021): +- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 490K / month Β· πŸ“¦ 590 Β· ⏱️ 20.10.2020): ``` - pip install espnet + pip install audioread + ``` +- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 230K Β· ⏱️ 16.03.2021): + ``` + conda install -c conda-forge audioread ```
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spleeter (πŸ₯‰25 Β· ⭐ 16K) - Deezer source separation library including pretrained models. MIT +
spleeter (πŸ₯ˆ25 Β· ⭐ 17K) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 1.7K Β· πŸ“₯ 1.1M Β· πŸ“‹ 540 - 15% open Β· ⏱️ 30.04.2021): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 1.7K Β· πŸ“₯ 1.1M Β· πŸ“‹ 550 - 15% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/deezer/spleeter ``` -- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 10K / month Β· ⏱️ 15.04.2021): +- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 9.6K / month Β· ⏱️ 15.04.2021): ``` pip install spleeter ``` -- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 51K Β· ⏱️ 30.06.2020): +- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 52K Β· ⏱️ 30.06.2020): ``` conda install -c conda-forge spleeter ```
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python-soundfile (πŸ₯‰25 Β· ⭐ 380) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 +
python-soundfile (πŸ₯ˆ25 Β· ⭐ 380) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 -- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 44 Β· πŸ“₯ 2.4K Β· πŸ“¦ 6.9K Β· πŸ“‹ 150 - 38% open Β· ⏱️ 01.12.2020): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 46 Β· πŸ“₯ 2.4K Β· πŸ“¦ 7.2K Β· πŸ“‹ 150 - 38% open Β· ⏱️ 01.12.2020): ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 690K / month Β· πŸ“¦ 740 Β· ⏱️ 27.11.2019): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 650K / month Β· πŸ“¦ 740 Β· ⏱️ 27.11.2019): ``` pip install soundfile ```
+
DeepSpeech (πŸ₯‰24 Β· ⭐ 17K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 + +- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 3.1K): + + ``` + git clone https://github.com/mozilla/DeepSpeech + ``` +- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 11K / month Β· πŸ“¦ 58 Β· ⏱️ 19.12.2020): + ``` + pip install deepspeech + ``` +
python_speech_features (πŸ₯‰24 Β· ⭐ 1.9K) - This library provides common speech features for ASR.. MIT - [GitHub](https://github.com/jameslyons/python_speech_features) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 550 Β· πŸ“‹ 72 - 31% open Β· ⏱️ 31.12.2020): @@ -3393,118 +3382,118 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/jameslyons/python_speech_features ``` -- [PyPi](https://pypi.org/project/python_speech_features) (πŸ“₯ 110K / month Β· πŸ“¦ 300 Β· ⏱️ 16.08.2017): +- [PyPi](https://pypi.org/project/python_speech_features) (πŸ“₯ 120K / month Β· πŸ“¦ 300 Β· ⏱️ 16.08.2017): ``` pip install python_speech_features ```
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DDSP (πŸ₯‰24 Β· ⭐ 1.8K) - DDSP: Differentiable Digital Signal Processing. Apache-2 +
DDSP (πŸ₯‰24 Β· ⭐ 1.9K) - DDSP: Differentiable Digital Signal Processing. Apache-2 -- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 180 Β· πŸ“¦ 11 Β· πŸ“‹ 110 - 13% open Β· ⏱️ 08.05.2021): +- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 190 Β· πŸ“¦ 11 Β· πŸ“‹ 120 - 15% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.8K / month Β· ⏱️ 08.04.2021): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.6K / month Β· ⏱️ 02.06.2021): ``` pip install ddsp ```
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Porcupine (πŸ₯‰23 Β· ⭐ 2.4K) - On-device wake word detection powered by deep learning. Apache-2 +
Porcupine (πŸ₯‰22 Β· ⭐ 2.5K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 350 Β· πŸ“¦ 5 Β· πŸ“‹ 310 - 1% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 360 Β· πŸ“¦ 5 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 1.3K / month Β· ⏱️ 14.04.2021): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 880 / month Β· ⏱️ 14.04.2021): ``` pip install pvporcupine ```
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kapre (πŸ₯‰22 Β· ⭐ 740) - kapre: Keras Audio Preprocessors. MIT +
tinytag (πŸ₯‰22 Β· ⭐ 460) - 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“₯ 11 Β· πŸ“¦ 740 Β· πŸ“‹ 87 - 8% open Β· ⏱️ 25.03.2021): +- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 82 Β· πŸ“¦ 370 Β· πŸ“‹ 82 - 19% open Β· ⏱️ 23.05.2021): ``` - git clone https://github.com/keunwoochoi/kapre + git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/kapre) (πŸ“₯ 2K / month Β· πŸ“¦ 22 Β· ⏱️ 29.09.2020): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 6.2K / month Β· πŸ“¦ 96 Β· ⏱️ 05.11.2020): ``` - pip install kapre + pip install tinytag ```
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tinytag (πŸ₯‰22 Β· ⭐ 450) - Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and.. MIT +
kapre (πŸ₯‰21 Β· ⭐ 740) - kapre: Keras Audio Preprocessors. MIT -- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 82 Β· πŸ“¦ 360 Β· πŸ“‹ 80 - 20% open Β· ⏱️ 28.03.2021): +- [GitHub](https://github.com/keunwoochoi/kapre) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 130 Β· πŸ“₯ 11 Β· πŸ“¦ 810 Β· πŸ“‹ 88 - 9% open Β· ⏱️ 25.03.2021): ``` - git clone https://github.com/devsnd/tinytag + git clone https://github.com/keunwoochoi/kapre ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 5.5K / month Β· πŸ“¦ 96 Β· ⏱️ 05.11.2020): +- [PyPi](https://pypi.org/project/kapre) (πŸ“₯ 2K / month Β· πŸ“¦ 22 Β· ⏱️ 29.09.2020): ``` - pip install tinytag + pip install kapre ```
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Dejavu (πŸ₯‰21 Β· ⭐ 5.4K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT +
Dejavu (πŸ₯‰20 Β· ⭐ 5.4K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT - [GitHub](https://github.com/worldveil/dejavu) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 1.2K Β· πŸ“¦ 18 Β· πŸ“‹ 210 - 39% open Β· ⏱️ 03.06.2020): ``` git clone https://github.com/worldveil/dejavu ``` -- [PyPi](https://pypi.org/project/PyDejavu) (πŸ“₯ 180 / month Β· πŸ“¦ 3 Β· ⏱️ 19.04.2015): +- [PyPi](https://pypi.org/project/PyDejavu) (πŸ“₯ 150 / month Β· πŸ“¦ 3 Β· ⏱️ 19.04.2015): ``` pip install PyDejavu ```
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TTS (πŸ₯‰20 Β· ⭐ 4.7K) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 +
TTS (πŸ₯‰20 Β· ⭐ 4.8K) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 -- [GitHub](https://github.com/mozilla/TTS) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 770 Β· πŸ“₯ 580 Β· πŸ“‹ 500 - 7% open Β· ⏱️ 12.02.2021): +- [GitHub](https://github.com/mozilla/TTS) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 770 Β· πŸ“₯ 680 Β· πŸ“‹ 500 - 7% open Β· ⏱️ 12.02.2021): ``` git clone https://github.com/mozilla/TTS ```
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nnAudio (πŸ₯‰20 Β· ⭐ 460 Β· βž•) - Audio processing by using pytorch 1D convolution network. MIT +
nnAudio (πŸ₯‰20 Β· ⭐ 470) - Audio processing by using pytorch 1D convolution network. MIT -- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 45 Β· πŸ“¦ 14 Β· πŸ“‹ 36 - 25% open Β· ⏱️ 02.05.2021): +- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 47 Β· πŸ“¦ 14 Β· πŸ“‹ 36 - 25% open Β· ⏱️ 02.05.2021): ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 580 / month Β· ⏱️ 02.05.2021): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 380 / month Β· ⏱️ 02.05.2021): ``` pip install nnAudio ```
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Muda (πŸ₯‰19 Β· ⭐ 180) - A library for augmenting annotated audio data. ISC +
Muda (πŸ₯‰18 Β· ⭐ 190) - A library for augmenting annotated audio data. ISC - [GitHub](https://github.com/bmcfee/muda) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 33 Β· πŸ“¦ 9 Β· πŸ“‹ 49 - 10% open Β· ⏱️ 03.05.2021): ``` git clone https://github.com/bmcfee/muda ``` -- [PyPi](https://pypi.org/project/muda) (πŸ“₯ 230 / month Β· πŸ“¦ 1 Β· ⏱️ 15.11.2019): +- [PyPi](https://pypi.org/project/muda) (πŸ“₯ 140 / month Β· πŸ“¦ 1 Β· ⏱️ 15.11.2019): ``` pip install muda ```
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Julius (πŸ₯‰17 Β· ⭐ 180) - Fast PyTorch based DSP for audio and 1D signals. MIT +
Julius (πŸ₯‰17 Β· ⭐ 190) - Fast PyTorch based DSP for audio and 1D signals. MIT -- [GitHub](https://github.com/adefossez/julius) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 6 Β· πŸ“¦ 12 Β· πŸ“‹ 5 - 20% open Β· ⏱️ 26.04.2021): +- [GitHub](https://github.com/adefossez/julius) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 7 Β· πŸ“¦ 13 Β· πŸ“‹ 5 - 20% open Β· ⏱️ 26.04.2021): ``` git clone https://github.com/adefossez/julius ``` -- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 3K / month Β· ⏱️ 03.03.2021): +- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 4.5K / month Β· ⏱️ 03.03.2021): ``` pip install julius ```
Show 4 hidden projects... -- SpeechRecognition (πŸ₯‡29 Β· ⭐ 5.6K Β· πŸ’€) - Speech recognition module for Python, supporting.. BSD-3 +- SpeechRecognition (πŸ₯‡29 Β· ⭐ 5.7K Β· πŸ’€) - Speech recognition module for Python, supporting.. BSD-3 - aubio (πŸ₯ˆ26 Β· ⭐ 2.1K) - a library for audio and music analysis. ❗️GPL-3.0 - Essentia (πŸ₯‰24 Β· ⭐ 1.8K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - Madmom (πŸ₯‰22 Β· ⭐ 740 Β· πŸ’€) - Python audio and music signal processing library. BSD-3 @@ -3519,196 +3508,196 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡34 Β· ⭐ 8.7K) - WebGL2 powered geospatial visualization layers. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.6K Β· πŸ“‹ 2.1K - 3% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.6K Β· πŸ“¦ 1.6K Β· πŸ“‹ 2.1K - 4% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 250K / month Β· πŸ“¦ 2 Β· ⏱️ 13.04.2021): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 290K / month Β· πŸ“¦ 2 Β· ⏱️ 13.04.2021): ``` pip install pydeck ``` -- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 30K Β· ⏱️ 13.04.2021): +- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 33K Β· ⏱️ 13.04.2021): ``` conda install -c conda-forge pydeck ``` -- [NPM](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 210K / month Β· πŸ“¦ 560 Β· ⏱️ 10.05.2021): +- [NPM](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 180K / month Β· πŸ“¦ 560 Β· ⏱️ 25.05.2021): ``` npm install deck.gl ```
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Shapely (πŸ₯‡34 Β· ⭐ 2.3K) - Manipulation and analysis of geometric objects. BSD-3 +
folium (πŸ₯‡33 Β· ⭐ 5.3K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/Toblerity/Shapely) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 400 Β· πŸ“¦ 19K Β· πŸ“‹ 740 - 16% open Β· ⏱️ 03.05.2021): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2K Β· πŸ“¦ 10K Β· πŸ“‹ 860 - 19% open Β· ⏱️ 09.03.2021): ``` - git clone https://github.com/Toblerity/Shapely + git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 4.1M / month Β· πŸ“¦ 5.5K Β· ⏱️ 04.03.2021): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 470K / month Β· πŸ“¦ 970 Β· ⏱️ 18.01.2021): ``` - pip install shapely + pip install folium ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 2.3M Β· ⏱️ 05.03.2021): +- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 360K Β· ⏱️ 12.03.2021): ``` - conda install -c conda-forge shapely + conda install -c conda-forge folium ```
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geopy (πŸ₯‡33 Β· ⭐ 3.3K) - Geocoding library for Python. MIT +
Shapely (πŸ₯‡33 Β· ⭐ 2.3K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 540 Β· πŸ“¦ 21K Β· πŸ“‹ 250 - 10% open Β· ⏱️ 17.04.2021): +- [GitHub](https://github.com/Toblerity/Shapely) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 410 Β· πŸ“¦ 19K Β· πŸ“‹ 750 - 18% open Β· ⏱️ 28.05.2021): ``` - git clone https://github.com/geopy/geopy + git clone https://github.com/Toblerity/Shapely ``` -- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.3M / month Β· πŸ“¦ 7.2K Β· ⏱️ 27.12.2020): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 4.3M / month Β· πŸ“¦ 5.5K Β· ⏱️ 04.03.2021): ``` - pip install geopy + pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 540K Β· ⏱️ 27.12.2020): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 2.4M Β· ⏱️ 02.06.2021): ``` - conda install -c conda-forge geopy + conda install -c conda-forge shapely ```
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folium (πŸ₯ˆ32 Β· ⭐ 5.3K) - Python Data. Leaflet.js Maps. MIT +
geopy (πŸ₯ˆ32 Β· ⭐ 3.3K) - Geocoding library for Python. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2K Β· πŸ“¦ 9.9K Β· πŸ“‹ 860 - 19% open Β· ⏱️ 09.03.2021): +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 540 Β· πŸ“¦ 22K Β· πŸ“‹ 250 - 10% open Β· ⏱️ 17.04.2021): ``` - git clone https://github.com/python-visualization/folium + git clone https://github.com/geopy/geopy ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 430K / month Β· πŸ“¦ 970 Β· ⏱️ 18.01.2021): +- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.3M / month Β· πŸ“¦ 7.2K Β· ⏱️ 27.12.2020): ``` - pip install folium + pip install geopy ``` -- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 360K Β· ⏱️ 12.03.2021): +- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 550K Β· ⏱️ 27.12.2020): ``` - conda install -c conda-forge folium + conda install -c conda-forge geopy ```
GeoPandas (πŸ₯ˆ32 Β· ⭐ 2.6K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 590 Β· πŸ“₯ 1K Β· πŸ“¦ 8.4K Β· πŸ“‹ 1.1K - 30% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 590 Β· πŸ“₯ 1K Β· πŸ“¦ 8.7K Β· πŸ“‹ 1.1K - 30% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 1M / month Β· πŸ“¦ 1.2K Β· ⏱️ 28.02.2021): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 1.2M / month Β· πŸ“¦ 1.2K Β· ⏱️ 28.02.2021): ``` pip install geopandas ``` -- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 980K Β· ⏱️ 01.03.2021): +- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 1M Β· ⏱️ 01.03.2021): ``` conda install -c conda-forge geopandas ```
Rasterio (πŸ₯ˆ32 Β· ⭐ 1.5K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/mapbox/rasterio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 410 Β· πŸ“₯ 730 Β· πŸ“¦ 3.2K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 03.05.2021): +- [GitHub](https://github.com/mapbox/rasterio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 410 Β· πŸ“₯ 730 Β· πŸ“¦ 3.2K Β· πŸ“‹ 1.4K - 9% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/mapbox/rasterio ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 480K / month Β· πŸ“¦ 850 Β· ⏱️ 27.04.2021): +- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 580K / month Β· πŸ“¦ 850 Β· ⏱️ 31.05.2021): ``` pip install rasterio ``` -- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 1M Β· ⏱️ 01.05.2021): +- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 1.1M Β· ⏱️ 01.06.2021): ``` conda install -c conda-forge rasterio ```
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pyproj (πŸ₯ˆ31 Β· ⭐ 610) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
Fiona (πŸ₯ˆ31 Β· ⭐ 810) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 150 Β· πŸ“¦ 9.6K Β· πŸ“‹ 410 - 2% open Β· ⏱️ 04.05.2021): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 180 Β· πŸ“¦ 5.9K Β· πŸ“‹ 640 - 12% open Β· ⏱️ 01.06.2021): ``` - git clone https://github.com/pyproj4/pyproj + git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 2.5M / month Β· πŸ“¦ 2.5K Β· ⏱️ 05.11.2020): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 1.5M / month Β· πŸ“¦ 1.2K Β· ⏱️ 31.05.2021): ``` - pip install pyproj + pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 2.2M Β· ⏱️ 05.03.2021): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 2M Β· ⏱️ 01.06.2021): ``` - conda install -c conda-forge pyproj + conda install -c conda-forge fiona ```
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Fiona (πŸ₯ˆ30 Β· ⭐ 800) - Fiona reads and writes geographic data files. BSD-3 +
pyproj (πŸ₯ˆ31 Β· ⭐ 620) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 170 Β· πŸ“¦ 5.7K Β· πŸ“‹ 640 - 12% open Β· ⏱️ 25.04.2021): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 150 Β· πŸ“¦ 9.9K Β· πŸ“‹ 410 - 2% open Β· ⏱️ 25.05.2021): ``` - git clone https://github.com/Toblerity/Fiona + git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 1.4M / month Β· πŸ“¦ 1.2K Β· ⏱️ 07.04.2021): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 2.8M / month Β· πŸ“¦ 2.5K Β· ⏱️ 24.05.2021): ``` - pip install fiona + pip install pyproj ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 1.9M Β· ⏱️ 08.04.2021): +- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 2.2M Β· ⏱️ 03.06.2021): ``` - conda install -c conda-forge fiona + conda install -c conda-forge pyproj ```
ipyleaflet (πŸ₯‰29 Β· ⭐ 1.1K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 290 Β· πŸ“¦ 840 Β· πŸ“‹ 410 - 37% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 290 Β· πŸ“¦ 860 Β· πŸ“‹ 420 - 37% open Β· ⏱️ 12.05.2021): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 46K / month Β· πŸ“¦ 98 Β· ⏱️ 05.01.2021): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 45K / month Β· πŸ“¦ 98 Β· ⏱️ 05.01.2021): ``` pip install ipyleaflet ``` -- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 670K Β· ⏱️ 16.01.2021): +- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 680K Β· ⏱️ 16.01.2021): ``` conda install -c conda-forge ipyleaflet ``` -- [NPM](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 23K / month Β· πŸ“¦ 2 Β· ⏱️ 05.01.2021): +- [NPM](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 22K / month Β· πŸ“¦ 2 Β· ⏱️ 05.01.2021): ``` npm install jupyter-leaflet ```
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geojson (πŸ₯‰28 Β· ⭐ 620) - Python bindings and utilities for GeoJSON. BSD-3 +
geojson (πŸ₯‰27 Β· ⭐ 630) - Python bindings and utilities for GeoJSON. BSD-3 -- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 85 Β· πŸ“¦ 6.6K Β· πŸ“‹ 73 - 28% open Β· ⏱️ 21.03.2021): +- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 85 Β· πŸ“¦ 6.8K Β· πŸ“‹ 75 - 30% open Β· ⏱️ 21.03.2021): ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 650K / month Β· πŸ“¦ 1.8K Β· ⏱️ 09.08.2019): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 620K / month Β· πŸ“¦ 1.8K Β· ⏱️ 09.08.2019): ``` pip install geojson ``` -- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 400K Β· ⏱️ 11.08.2019): +- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 410K Β· ⏱️ 11.08.2019): ``` conda install -c conda-forge geojson ```
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ArcGIS API (πŸ₯‰25 Β· ⭐ 990) - Documentation and samples for ArcGIS API for Python. Apache-2 +
ArcGIS API (πŸ₯‰25 Β· ⭐ 1K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 730 Β· πŸ“‹ 340 - 34% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 740 Β· πŸ“‹ 350 - 34% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 42K / month Β· πŸ“¦ 20 Β· ⏱️ 12.04.2021): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 47K / month Β· πŸ“¦ 20 Β· ⏱️ 12.04.2021): ``` pip install arcgis ``` -- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook): +- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (πŸ“₯ 4.3K Β· ⭐ 32 Β· ⏱️ 06.03.2020): ``` docker pull esridocker/arcgis-api-python-notebook ```
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PySAL (πŸ₯‰24 Β· ⭐ 840) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 +
PySAL (πŸ₯‰24 Β· ⭐ 850) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 - [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 240 Β· πŸ“‹ 640 - 9% open Β· ⏱️ 01.02.2021): ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 14K / month Β· πŸ“¦ 36 Β· ⏱️ 02.02.2021): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 13K / month Β· πŸ“¦ 36 Β· ⏱️ 02.02.2021): ``` pip install pysal ``` @@ -3717,18 +3706,18 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge pysal ```
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GeoViews (πŸ₯‰23 Β· ⭐ 340) - Simple, concise geographical visualization in Python. BSD-3 +
GeoViews (πŸ₯‰23 Β· ⭐ 350) - Simple, concise geographical visualization in Python. BSD-3 - [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 64 Β· πŸ“‹ 260 - 30% open Β· ⏱️ 13.04.2021): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 6.6K / month Β· πŸ“¦ 20 Β· ⏱️ 13.03.2021): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 6.7K / month Β· πŸ“¦ 20 Β· ⏱️ 13.03.2021): ``` pip install geoviews ``` -- [Conda](https://anaconda.org/conda-forge/geoviews) (πŸ“₯ 67K Β· ⏱️ 14.03.2021): +- [Conda](https://anaconda.org/conda-forge/geoviews) (πŸ“₯ 69K Β· ⏱️ 14.03.2021): ``` conda install -c conda-forge geoviews ``` @@ -3740,14 +3729,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/mapbox/mapboxgl-jupyter ``` -- [PyPi](https://pypi.org/project/mapboxgl) (πŸ“₯ 7.9K / month Β· πŸ“¦ 18 Β· ⏱️ 02.06.2019): +- [PyPi](https://pypi.org/project/mapboxgl) (πŸ“₯ 4.7K / month Β· πŸ“¦ 18 Β· ⏱️ 02.06.2019): ``` pip install mapboxgl ```
EarthPy (πŸ₯‰20 Β· ⭐ 260) - A package built to support working with spatial data using open source.. BSD-3 -- [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 110 Β· πŸ“¦ 89 Β· πŸ“‹ 220 - 8% open Β· ⏱️ 06.04.2021): +- [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 110 Β· πŸ“¦ 91 Β· πŸ“‹ 220 - 8% open Β· ⏱️ 06.04.2021): ``` git clone https://github.com/earthlab/earthpy @@ -3756,23 +3745,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install earthpy ``` -- [Conda](https://anaconda.org/conda-forge/earthpy) (πŸ“₯ 32K Β· ⏱️ 19.06.2020): +- [Conda](https://anaconda.org/conda-forge/earthpy) (πŸ“₯ 33K Β· ⏱️ 19.06.2020): ``` conda install -c conda-forge earthpy ```
pymap3d (πŸ₯‰19 Β· ⭐ 190) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 -- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 60 Β· πŸ“‹ 26 - 7% open Β· ⏱️ 13.04.2021): +- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 60 Β· πŸ“‹ 26 - 7% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 42K / month Β· πŸ“¦ 6 Β· ⏱️ 21.03.2021): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 37K / month Β· πŸ“¦ 6 Β· ⏱️ 25.05.2021): ``` pip install pymap3d ``` -- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 9.1K Β· ⏱️ 13.04.2021): +- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 9.7K Β· ⏱️ 26.05.2021): ``` conda install -c conda-forge pymap3d ``` @@ -3781,10 +3770,10 @@ _Libraries to load, process, analyze, and write geographic data as well as libra - Geocoder (πŸ₯ˆ30 Β· ⭐ 1.4K Β· πŸ’€) - Python Geocoder. MIT - Cartopy (πŸ₯‰29 Β· ⭐ 1.5K) - Rasterio reads and writes geospatial raster datasets. ❗️LGPL-3.0 +- Sentinelsat (πŸ₯‰23 Β· ⭐ 610 Β· πŸ“ˆ) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - gmaps (πŸ₯‰22 Β· ⭐ 710 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 -- Satpy (πŸ₯‰21 Β· ⭐ 700 Β· πŸ“‰) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 -- Sentinelsat (πŸ₯‰21 Β· ⭐ 610) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 -- geoplotlib (πŸ₯‰20 Β· ⭐ 910 Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT +- geoplotlib (πŸ₯‰21 Β· ⭐ 920 Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT +- Satpy (πŸ₯‰21 Β· ⭐ 700) - Python package for earth-observing satellite data processing. ❗️GPL-3.0

@@ -3796,7 +3785,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
zipline (πŸ₯‡30 Β· ⭐ 14K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 -- [GitHub](https://github.com/quantopian/zipline) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 4K Β· πŸ“¦ 720 Β· πŸ“‹ 990 - 34% open Β· ⏱️ 14.10.2020): +- [GitHub](https://github.com/quantopian/zipline) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 4K Β· πŸ“¦ 730 Β· πŸ“‹ 990 - 34% open Β· ⏱️ 14.10.2020): ``` git clone https://github.com/quantopian/zipline @@ -3806,9 +3795,9 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te pip install zipline ```
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yfinance (πŸ₯‡29 Β· ⭐ 4.9K) - Yahoo! Finance market data downloader (+faster Pandas Datareader). Apache-2 +
yfinance (πŸ₯‡29 Β· ⭐ 5.1K) - Yahoo! Finance market data downloader (+faster Pandas Datareader). Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 1.2K Β· πŸ“¦ 4.4K Β· πŸ“‹ 540 - 57% open Β· ⏱️ 25.03.2021): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 1.3K Β· πŸ“¦ 4.9K Β· πŸ“‹ 550 - 58% open Β· ⏱️ 29.05.2021): ``` git clone https://github.com/ranaroussi/yfinance @@ -3817,54 +3806,54 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install yfinance ``` -- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 46K Β· ⏱️ 27.12.2019): +- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 48K Β· ⏱️ 27.12.2019): ``` conda install -c ranaroussi yfinance ```
pyfolio (πŸ₯‡28 Β· ⭐ 3.8K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 -- [GitHub](https://github.com/quantopian/pyfolio) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 1.2K Β· πŸ“¦ 240 Β· πŸ“‹ 390 - 32% open Β· ⏱️ 15.07.2020): +- [GitHub](https://github.com/quantopian/pyfolio) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 1.2K Β· πŸ“¦ 250 Β· πŸ“‹ 390 - 32% open Β· ⏱️ 15.07.2020): ``` git clone https://github.com/quantopian/pyfolio ``` -- [PyPi](https://pypi.org/project/pyfolio) (πŸ“₯ 10K / month Β· πŸ“¦ 54 Β· ⏱️ 15.04.2019): +- [PyPi](https://pypi.org/project/pyfolio) (πŸ“₯ 9K / month Β· πŸ“¦ 54 Β· ⏱️ 15.04.2019): ``` pip install pyfolio ``` -- [Conda](https://anaconda.org/conda-forge/pyfolio) (πŸ“₯ 6.3K Β· ⏱️ 16.05.2020): +- [Conda](https://anaconda.org/conda-forge/pyfolio) (πŸ“₯ 6.4K Β· ⏱️ 16.05.2020): ``` conda install -c conda-forge pyfolio ```
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ta (πŸ₯ˆ27 Β· ⭐ 2.1K) - Technical Analysis Library using Pandas and Numpy. MIT +
ta (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT -- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 530 Β· πŸ“¦ 540 Β· πŸ“‹ 180 - 50% open Β· ⏱️ 29.11.2020): +- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 540 Β· πŸ“¦ 580 Β· πŸ“‹ 180 - 50% open Β· ⏱️ 29.11.2020): ``` git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 67K / month Β· πŸ“¦ 12 Β· ⏱️ 29.11.2020): +- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 60K / month Β· πŸ“¦ 12 Β· ⏱️ 29.11.2020): ``` pip install ta ```
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Alpha Vantage (πŸ₯ˆ26 Β· ⭐ 3.3K) - A python wrapper for Alpha Vantage API for financial data. MIT +
Alpha Vantage (πŸ₯ˆ25 Β· ⭐ 3.4K) - A python wrapper for Alpha Vantage API for financial data. MIT -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 590 Β· πŸ“‹ 240 - 6% open Β· ⏱️ 21.12.2020): +- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 600 Β· πŸ“‹ 240 - 6% open Β· ⏱️ 21.12.2020): ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 28K / month Β· πŸ“¦ 200 Β· ⏱️ 26.08.2018): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 35K / month Β· πŸ“¦ 200 Β· ⏱️ 26.08.2018): ``` pip install alpha_vantage ```
bt (πŸ₯ˆ25 Β· ⭐ 1.1K) - bt - flexible backtesting for Python. MIT -- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 280 Β· πŸ“¦ 53 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 24.04.2021): +- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 280 Β· πŸ“¦ 57 Β· πŸ“‹ 270 - 21% open Β· ⏱️ 15.05.2021): ``` git clone https://github.com/pmorissette/bt @@ -3874,54 +3863,42 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te pip install bt ```
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ffn (πŸ₯ˆ25 Β· ⭐ 850) - ffn - a financial function library for Python. MIT +
ffn (πŸ₯ˆ25 Β· ⭐ 870) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 200 Β· πŸ“¦ 120 Β· πŸ“‹ 91 - 19% open Β· ⏱️ 24.04.2021): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 200 Β· πŸ“¦ 130 Β· πŸ“‹ 91 - 19% open Β· ⏱️ 24.04.2021): ``` git clone https://github.com/pmorissette/ffn ``` -- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 14K / month Β· πŸ“¦ 42 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 15K / month Β· πŸ“¦ 42 Β· ⏱️ 21.04.2021): ``` pip install ffn ```
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TensorTrade (πŸ₯ˆ24 Β· ⭐ 3.2K Β· πŸ“ˆ) - An open source reinforcement learning framework for.. Apache-2 - -- [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 740 Β· πŸ“¦ 17 Β· πŸ“‹ 170 - 10% open Β· ⏱️ 12.05.2021): - - ``` - git clone https://github.com/tensortrade-org/tensortrade - ``` -- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): - ``` - pip install tensortrade - ``` -
IB-insync (πŸ₯ˆ24 Β· ⭐ 1.4K) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 420 Β· πŸ“‹ 310 - 1% open Β· ⏱️ 28.04.2021): +- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 430 Β· πŸ“‹ 320 - 2% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 6K / month Β· πŸ“¦ 12 Β· ⏱️ 26.04.2021): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 5.9K / month Β· πŸ“¦ 12 Β· ⏱️ 26.04.2021): ``` pip install ib_insync ``` -- [Conda](https://anaconda.org/conda-forge/ib-insync) (πŸ“₯ 9.5K Β· ⏱️ 25.02.2021): +- [Conda](https://anaconda.org/conda-forge/ib-insync) (πŸ“₯ 9.9K Β· ⏱️ 25.02.2021): ``` conda install -c conda-forge ib-insync ```
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empyrical (πŸ₯ˆ24 Β· ⭐ 780 Β· πŸ’€) - Common financial risk and performance metrics. Used by zipline.. Apache-2 +
empyrical (πŸ₯ˆ24 Β· ⭐ 790 Β· πŸ’€) - Common financial risk and performance metrics. Used by zipline.. Apache-2 -- [GitHub](https://github.com/quantopian/empyrical) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 250 Β· πŸ“¦ 610 Β· πŸ“‹ 53 - 50% open Β· ⏱️ 14.10.2020): +- [GitHub](https://github.com/quantopian/empyrical) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 250 Β· πŸ“¦ 630 Β· πŸ“‹ 53 - 50% open Β· ⏱️ 14.10.2020): ``` git clone https://github.com/quantopian/empyrical ``` -- [PyPi](https://pypi.org/project/empyrical) (πŸ“₯ 59K / month Β· πŸ“¦ 220 Β· ⏱️ 13.10.2020): +- [PyPi](https://pypi.org/project/empyrical) (πŸ“₯ 45K / month Β· πŸ“¦ 220 Β· ⏱️ 13.10.2020): ``` pip install empyrical ``` @@ -3930,86 +3907,98 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge empyrical ```
+
TensorTrade (πŸ₯‰23 Β· ⭐ 3.2K) - An open source reinforcement learning framework for training,.. Apache-2 + +- [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 740 Β· πŸ“¦ 17 Β· πŸ“‹ 170 - 10% open Β· ⏱️ 21.05.2021): + + ``` + git clone https://github.com/tensortrade-org/tensortrade + ``` +- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): + ``` + pip install tensortrade + ``` +
Enigma Catalyst (πŸ₯‰23 Β· ⭐ 2.2K) - An Algorithmic Trading Library for Crypto-Assets in Python. Apache-2 -- [GitHub](https://github.com/enigmampc/catalyst) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 620 Β· πŸ“¦ 22 Β· πŸ“‹ 490 - 27% open Β· ⏱️ 28.12.2020): +- [GitHub](https://github.com/enigmampc/catalyst) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 630 Β· πŸ“¦ 23 Β· πŸ“‹ 490 - 27% open Β· ⏱️ 28.12.2020): ``` git clone https://github.com/enigmampc/catalyst ``` -- [PyPi](https://pypi.org/project/enigma-catalyst) (πŸ“₯ 3K / month Β· πŸ“¦ 2 Β· ⏱️ 11.11.2018): +- [PyPi](https://pypi.org/project/enigma-catalyst) (πŸ“₯ 3.3K / month Β· πŸ“¦ 2 Β· ⏱️ 11.11.2018): ``` pip install enigma-catalyst ```
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stockstats (πŸ₯‰22 Β· ⭐ 780 Β· πŸ’€) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 +
stockstats (πŸ₯‰22 Β· ⭐ 790 Β· πŸ’€) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 -- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 220 Β· πŸ“¦ 250 Β· πŸ“‹ 60 - 48% open Β· ⏱️ 17.10.2020): +- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 220 Β· πŸ“¦ 260 Β· πŸ“‹ 61 - 49% open Β· ⏱️ 17.10.2020): ``` git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 42K / month Β· πŸ“¦ 48 Β· ⏱️ 17.10.2020): +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 35K / month Β· πŸ“¦ 48 Β· ⏱️ 17.10.2020): ``` pip install stockstats ```
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Qlib (πŸ₯‰21 Β· ⭐ 4.9K) - Qlib is an AI-oriented quantitative investment platform, which aims to.. MIT +
Qlib (πŸ₯‰21 Β· ⭐ 5K) - Qlib is an AI-oriented quantitative investment platform, which aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 790 Β· πŸ“₯ 230 Β· πŸ“¦ 3 Β· πŸ“‹ 220 - 52% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 810 Β· πŸ“₯ 230 Β· πŸ“¦ 3 Β· πŸ“‹ 260 - 42% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 4K / month Β· ⏱️ 02.02.2021): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 3.4K / month Β· ⏱️ 02.02.2021): ``` pip install pyqlib ```
tf-quant-finance (πŸ₯‰20 Β· ⭐ 2.6K) - High-performance TensorFlow library for quantitative.. Apache-2 -- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 330 Β· πŸ“¦ 4 Β· πŸ“‹ 29 - 55% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 340 Β· πŸ“¦ 6 Β· πŸ“‹ 28 - 50% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 250 / month Β· ⏱️ 13.04.2021): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 220 / month Β· ⏱️ 13.04.2021): ``` pip install tf-quant-finance ```
finmarketpy (πŸ₯‰20 Β· ⭐ 2.6K) - Python library for backtesting trading strategies & analyzing.. Apache-2 -- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 430 Β· πŸ“₯ 39 Β· πŸ“¦ 3 Β· πŸ“‹ 25 - 88% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 440 Β· πŸ“₯ 39 Β· πŸ“¦ 3 Β· πŸ“‹ 25 - 88% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 80 / month Β· ⏱️ 25.01.2021): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 130 / month Β· ⏱️ 01.06.2021): ``` pip install finmarketpy ```
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Crypto Signals (πŸ₯‰19 Β· ⭐ 3K Β· πŸ’€) - Github.com/CryptoSignal - #1 Quant Trading & Technical.. MIT +
Crypto Signals (πŸ₯‰19 Β· ⭐ 3.1K Β· πŸ’€) - Github.com/CryptoSignal - #1 Quant Trading & Technical.. MIT -- [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 830 Β· πŸ“‹ 240 - 18% open Β· ⏱️ 03.09.2020): +- [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 830 Β· πŸ“‹ 240 - 18% open Β· ⏱️ 03.09.2020): ``` git clone https://github.com/CryptoSignal/crypto-signal ``` -- [Docker Hub](https://hub.docker.com/r/shadowreaver/crypto-signal) (πŸ“₯ 140K Β· ⭐ 8 Β· ⏱️ 03.09.2020): +- [Docker Hub](https://hub.docker.com/r/shadowreaver/crypto-signal) (πŸ“₯ 140K Β· ⭐ 7 Β· ⏱️ 03.09.2020): ``` docker pull shadowreaver/crypto-signal ```
Show 7 hidden projects... -- backtrader (πŸ₯ˆ26 Β· ⭐ 6.4K) - Python Backtesting library for trading strategies. ❗️GPL-3.0 +- backtrader (πŸ₯ˆ26 Β· ⭐ 6.6K) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - Alphalens (πŸ₯ˆ24 Β· ⭐ 1.9K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - PyAlgoTrade (πŸ₯‰23 Β· ⭐ 3.3K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 -- arch (πŸ₯‰23 Β· ⭐ 700) - ARCH models in Python. ❗️NCSA -- FinTA (πŸ₯‰22 Β· ⭐ 1K) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 -- Backtesting.py (πŸ₯‰18 Β· ⭐ 1.3K) - Backtest trading strategies in Python. ❗️AGPL-3.0 +- FinTA (πŸ₯‰22 Β· ⭐ 1.1K) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 +- arch (πŸ₯‰22 Β· ⭐ 710) - ARCH models in Python. ❗️NCSA +- Backtesting.py (πŸ₯‰18 Β· ⭐ 1.4K) - Backtest trading strategies in Python. ❗️AGPL-3.0 - surpriver (πŸ₯‰12 Β· ⭐ 1.2K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0

@@ -4027,170 +4016,170 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 790K / month Β· πŸ“¦ 150 Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 850K / month Β· πŸ“¦ 150 Β· ⏱️ 05.09.2020): ``` pip install fbprophet ```
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tsfresh (πŸ₯‡27 Β· ⭐ 5.6K) - Automatic extraction of relevant features from time series:. MIT +
tsfresh (πŸ₯‡27 Β· ⭐ 5.7K) - Automatic extraction of relevant features from time series:. MIT - [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 880 Β· πŸ“‹ 460 - 8% open Β· ⏱️ 02.05.2021): ``` git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 170K / month Β· πŸ“¦ 66 Β· ⏱️ 09.09.2020): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 140K / month Β· πŸ“¦ 66 Β· ⏱️ 09.09.2020): ``` pip install tsfresh ``` -- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 33K Β· ⏱️ 07.03.2021): +- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 34K Β· ⏱️ 07.03.2021): ``` conda install -c conda-forge tsfresh ```
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pmdarima (πŸ₯‡27 Β· ⭐ 880) - A statistical library designed to fill the void in Python's time series.. MIT +
pmdarima (πŸ₯‡27 Β· ⭐ 900) - A statistical library designed to fill the void in Python's time series.. MIT -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 170 Β· πŸ“¦ 960 Β· πŸ“‹ 240 - 7% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 170 Β· πŸ“¦ 1K Β· πŸ“‹ 240 - 8% open Β· ⏱️ 07.05.2021): ``` git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 390K / month Β· πŸ“¦ 12 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 400K / month Β· πŸ“¦ 12 Β· ⏱️ 19.04.2021): ``` pip install pmdarima ```
+
sktime (πŸ₯ˆ25 Β· ⭐ 4K) - A unified framework for machine learning with time series. BSD-3 + +- [GitHub](https://github.com/alan-turing-institute/sktime) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 550 Β· πŸ“₯ 58 Β· πŸ“¦ 170 Β· πŸ“‹ 480 - 32% open Β· ⏱️ 03.06.2021): + + ``` + git clone https://github.com/alan-turing-institute/sktime + ``` +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 65K / month Β· ⏱️ 14.05.2021): + ``` + pip install sktime + ``` +
tslearn (πŸ₯ˆ25 Β· ⭐ 1.6K) - A machine learning toolkit dedicated to time-series data. BSD-2 -- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 230 Β· πŸ“¦ 230 Β· πŸ“‹ 230 - 27% open Β· ⏱️ 25.01.2021): +- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 240 Β· πŸ“¦ 240 Β· πŸ“‹ 240 - 28% open Β· ⏱️ 17.05.2021): ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 57K / month Β· πŸ“¦ 22 Β· ⏱️ 25.01.2021): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 69K / month Β· πŸ“¦ 22 Β· ⏱️ 17.05.2021): ``` pip install tslearn ``` -- [Conda](https://anaconda.org/conda-forge/tslearn) (πŸ“₯ 210K Β· ⏱️ 25.01.2021): +- [Conda](https://anaconda.org/conda-forge/tslearn) (πŸ“₯ 210K Β· ⏱️ 18.05.2021): ``` conda install -c conda-forge tslearn ```
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Streamz (πŸ₯ˆ25 Β· ⭐ 940) - Real-time stream processing for python. BSD-3 +
Streamz (πŸ₯ˆ25 Β· ⭐ 950) - Real-time stream processing for python. BSD-3 -- [GitHub](https://github.com/python-streamz/streamz) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 120 Β· πŸ“¦ 200 Β· πŸ“‹ 220 - 40% open Β· ⏱️ 05.04.2021): +- [GitHub](https://github.com/python-streamz/streamz) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 120 Β· πŸ“¦ 210 Β· πŸ“‹ 220 - 40% open Β· ⏱️ 19.05.2021): ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 8.5K / month Β· πŸ“¦ 16 Β· ⏱️ 14.01.2021): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 7.1K / month Β· πŸ“¦ 16 Β· ⏱️ 14.01.2021): ``` pip install streamz ``` -- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 150K Β· ⏱️ 15.01.2021): +- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 160K Β· ⏱️ 15.01.2021): ``` conda install -c conda-forge streamz ```
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sktime (πŸ₯ˆ24 Β· ⭐ 4K) - A unified framework for machine learning with time series. BSD-3 - -- [GitHub](https://github.com/alan-turing-institute/sktime) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 530 Β· πŸ“₯ 58 Β· πŸ“¦ 150 Β· πŸ“‹ 430 - 28% open Β· ⏱️ 06.05.2021): - - ``` - git clone https://github.com/alan-turing-institute/sktime - ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 45K / month Β· ⏱️ 15.04.2021): - ``` - pip install sktime - ``` -
GluonTS (πŸ₯ˆ23 Β· ⭐ 1.9K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/awslabs/gluon-ts) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 390 Β· πŸ“‹ 590 - 35% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/awslabs/gluon-ts) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 400 Β· πŸ“‹ 600 - 34% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 35K / month Β· ⏱️ 11.05.2021): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 44K / month Β· ⏱️ 03.06.2021): ``` pip install gluonts ```
STUMPY (πŸ₯‰21 Β· ⭐ 1.8K) - STUMPY is a powerful and scalable Python library for computing a Matrix.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 170 Β· πŸ“‹ 230 - 11% open Β· ⏱️ 09.05.2021): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 170 Β· πŸ“‹ 240 - 11% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 39K / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 40K / month Β· ⏱️ 04.02.2021): ``` pip install stumpy ``` -- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 21K Β· ⏱️ 05.02.2021): +- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 22K Β· ⏱️ 05.02.2021): ``` conda install -c conda-forge stumpy ```
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pytorch-forecasting (πŸ₯‰20 Β· ⭐ 1K) - Time series forecasting with PyTorch. MIT +
Darts (πŸ₯‰21 Β· ⭐ 890) - A python library for easy manipulation and forecasting of time series. Apache-2 -- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“‹ 210 - 22% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 120 Β· πŸ“¦ 5 Β· πŸ“‹ 93 - 22% open Β· ⏱️ 22.05.2021): ``` - git clone https://github.com/jdb78/pytorch-forecasting + git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 12K / month Β· ⏱️ 27.04.2021): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 1.5K / month Β· ⏱️ 22.05.2021): ``` - pip install pytorch-forecasting + pip install u8darts + ``` +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 130 Β· ⏱️ 22.05.2021): + ``` + docker pull unit8/darts ```
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pyts (πŸ₯‰20 Β· ⭐ 940) - A Python package for time series classification. BSD-3 +
pytorch-forecasting (πŸ₯‰20 Β· ⭐ 1.1K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 100 Β· πŸ“¦ 110 Β· πŸ“‹ 45 - 57% open Β· ⏱️ 31.03.2021): +- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 130 Β· πŸ“‹ 230 - 26% open Β· ⏱️ 01.06.2021): ``` - git clone https://github.com/johannfaouzi/pyts - ``` -- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 17K / month Β· πŸ“¦ 4 Β· ⏱️ 21.03.2020): - ``` - pip install pyts + git clone https://github.com/jdb78/pytorch-forecasting ``` -- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 7.3K Β· ⏱️ 21.03.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 9.4K / month Β· ⏱️ 27.04.2021): ``` - conda install -c conda-forge pyts + pip install pytorch-forecasting ```
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Darts (πŸ₯‰20 Β· ⭐ 850) - A python library for easy manipulation and forecasting of time series. Apache-2 +
pyts (πŸ₯‰20 Β· ⭐ 960) - A Python package for time series classification. BSD-3 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 110 Β· πŸ“¦ 2 Β· πŸ“‹ 84 - 22% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 100 Β· πŸ“¦ 120 Β· πŸ“‹ 45 - 57% open Β· ⏱️ 26.05.2021): ``` - git clone https://github.com/unit8co/darts + git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 1.8K / month Β· ⏱️ 14.04.2021): +- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 15K / month Β· πŸ“¦ 4 Β· ⏱️ 21.03.2020): ``` - pip install u8darts + pip install pyts ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 110 Β· ⏱️ 14.04.2021): +- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 7.5K Β· ⏱️ 21.03.2020): ``` - docker pull unit8/darts + conda install -c conda-forge pyts ```
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seglearn (πŸ₯‰20 Β· ⭐ 450) - Python module for machine learning time series:. BSD-3 +
seglearn (πŸ₯‰19 Β· ⭐ 450) - Python module for machine learning time series:. BSD-3 -- [GitHub](https://github.com/dmbee/seglearn) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 47 Β· πŸ“¦ 7 Β· πŸ“‹ 27 - 18% open Β· ⏱️ 12.03.2021): +- [GitHub](https://github.com/dmbee/seglearn) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 47 Β· πŸ“¦ 8 Β· πŸ“‹ 27 - 18% open Β· ⏱️ 12.03.2021): ``` git clone https://github.com/dmbee/seglearn ``` -- [PyPi](https://pypi.org/project/seglearn) (πŸ“₯ 2.3K / month Β· πŸ“¦ 1 Β· ⏱️ 13.03.2021): +- [PyPi](https://pypi.org/project/seglearn) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 13.03.2021): ``` pip install seglearn ```
tick (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 -- [GitHub](https://github.com/X-DataInitiative/tick) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 77 Β· πŸ“₯ 160 Β· πŸ“¦ 33 Β· πŸ“‹ 220 - 25% open Β· ⏱️ 15.06.2020): +- [GitHub](https://github.com/X-DataInitiative/tick) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 78 Β· πŸ“₯ 160 Β· πŸ“¦ 35 Β· πŸ“‹ 220 - 25% open Β· ⏱️ 15.06.2020): ``` git clone https://github.com/X-DataInitiative/tick @@ -4200,26 +4189,26 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install tick ```
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Auto TS (πŸ₯‰18 Β· ⭐ 230) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 +
Auto TS (πŸ₯‰17 Β· ⭐ 240) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 -- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 43 Β· πŸ“‹ 41 - 24% open Β· ⏱️ 14.03.2021): +- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 45 Β· πŸ“‹ 41 - 24% open Β· ⏱️ 14.03.2021): ``` git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 1K / month Β· ⏱️ 14.03.2021): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 740 / month Β· ⏱️ 14.03.2021): ``` pip install auto-ts ```
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atspy (πŸ₯‰15 Β· ⭐ 350) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT +
atspy (πŸ₯‰16 Β· ⭐ 360 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT -- [GitHub](https://github.com/firmai/atspy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 67 Β· πŸ“¦ 3 Β· πŸ“‹ 20 - 90% open Β· ⏱️ 12.11.2020): +- [GitHub](https://github.com/firmai/atspy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 68 Β· πŸ“¦ 3 Β· πŸ“‹ 20 - 90% open Β· ⏱️ 12.11.2020): ``` git clone https://github.com/firmai/atspy ``` -- [PyPi](https://pypi.org/project/atspy) (πŸ“₯ 560 / month Β· ⏱️ 24.04.2020): +- [PyPi](https://pypi.org/project/atspy) (πŸ“₯ 800 / month Β· ⏱️ 24.04.2020): ``` pip install atspy ``` @@ -4227,9 +4216,9 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Show 5 hidden projects... - PyFlux (πŸ₯ˆ23 Β· ⭐ 1.9K Β· πŸ’€) - Open source time series library for Python. BSD-3 -- luminol (πŸ₯‰21 Β· ⭐ 920 Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 +- luminol (πŸ₯‰21 Β· ⭐ 930 Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 - pydlm (πŸ₯‰20 Β· ⭐ 390 Β· πŸ’€) - A python library for Bayesian time series modeling. BSD-3 -- matrixprofile-ts (πŸ₯‰19 Β· ⭐ 630 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 +- matrixprofile-ts (πŸ₯‰19 Β· ⭐ 640 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 - ADTK (πŸ₯‰17 Β· ⭐ 660 Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0

@@ -4242,39 +4231,39 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Lifelines (πŸ₯‡29 Β· ⭐ 1.6K) - Survival analysis in Python. MIT -- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 420 Β· πŸ“¦ 570 Β· πŸ“‹ 800 - 25% open Β· ⏱️ 15.04.2021): +- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 430 Β· πŸ“¦ 580 Β· πŸ“‹ 800 - 25% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 230K / month Β· πŸ“¦ 130 Β· ⏱️ 13.04.2021): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 250K / month Β· πŸ“¦ 130 Β· ⏱️ 27.05.2021): ``` pip install lifelines ``` -- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 140K Β· ⏱️ 06.04.2021): +- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 150K Β· ⏱️ 27.05.2021): ``` conda install -c conda-forge lifelines ```
Nilearn (πŸ₯‡29 Β· ⭐ 740) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 410 Β· πŸ“¦ 1K Β· πŸ“‹ 1.6K - 23% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 410 Β· πŸ“¦ 1K Β· πŸ“‹ 1.6K - 23% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 27K / month Β· πŸ“¦ 300 Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 22K / month Β· πŸ“¦ 300 Β· ⏱️ 10.03.2021): ``` pip install nilearn ``` -- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 96K Β· ⏱️ 10.03.2021): +- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 98K Β· ⏱️ 10.03.2021): ``` conda install -c conda-forge nilearn ```
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NiBabel (πŸ₯‡29 Β· ⭐ 400) - Python package to access a cacophony of neuro-imaging file formats. MIT +
NiBabel (πŸ₯‡29 Β· ⭐ 410) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 210 Β· πŸ“¦ 4.3K Β· πŸ“‹ 410 - 27% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 210 Β· πŸ“¦ 4.5K Β· πŸ“‹ 410 - 27% open Β· ⏱️ 30.05.2021): ``` git clone https://github.com/nipy/nibabel @@ -4283,35 +4272,35 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` pip install nibabel ``` -- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 330K Β· ⏱️ 29.11.2020): +- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 340K Β· ⏱️ 29.11.2020): ``` conda install -c conda-forge nibabel ```
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NIPYPE (πŸ₯ˆ28 Β· ⭐ 560) - Workflows and interfaces for neuroimaging packages. Apache-2 +
NIPYPE (πŸ₯ˆ28 Β· ⭐ 570) - Workflows and interfaces for neuroimaging packages. Apache-2 -- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 460 Β· πŸ“¦ 590 Β· πŸ“‹ 1.2K - 27% open Β· ⏱️ 01.05.2021): +- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 460 Β· πŸ“¦ 620 Β· πŸ“‹ 1.2K - 27% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 20K / month Β· πŸ“¦ 190 Β· ⏱️ 28.11.2020): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 22K / month Β· πŸ“¦ 190 Β· ⏱️ 28.11.2020): ``` pip install nipype ``` -- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 400K Β· ⏱️ 28.11.2020): +- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 410K Β· ⏱️ 28.11.2020): ``` conda install -c conda-forge nipype ```
DIPY (πŸ₯ˆ28 Β· ⭐ 430) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 -- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“¦ 370 Β· πŸ“‹ 760 - 20% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“¦ 380 Β· πŸ“‹ 770 - 20% open Β· ⏱️ 11.05.2021): ``` git clone https://github.com/dipy/dipy ``` -- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 11K / month Β· πŸ“¦ 94 Β· ⏱️ 06.05.2021): +- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 12K / month Β· πŸ“¦ 94 Β· ⏱️ 06.05.2021): ``` pip install dipy ``` @@ -4322,115 +4311,115 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯ˆ27 Β· ⭐ 1.6K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 910 Β· πŸ“¦ 950 Β· πŸ“‹ 3.7K - 9% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 910 Β· πŸ“¦ 970 Β· πŸ“‹ 3.7K - 9% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 31K / month Β· πŸ“¦ 200 Β· ⏱️ 27.04.2021): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 28K / month Β· πŸ“¦ 200 Β· ⏱️ 27.04.2021): ``` pip install mne ``` -- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 130K Β· ⏱️ 27.04.2021): +- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 140K Β· ⏱️ 27.04.2021): ``` conda install -c conda-forge mne ```
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Hail (πŸ₯ˆ24 Β· ⭐ 720) - Scalable genomic data analysis. MIT +
Hail (πŸ₯ˆ25 Β· ⭐ 730) - Scalable genomic data analysis. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 180 Β· πŸ“¦ 38 Β· πŸ“‹ 2.3K - 14% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 200 Β· πŸ“¦ 39 Β· πŸ“‹ 2K - 2% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 5.7K / month Β· ⏱️ 06.05.2021): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 10K / month Β· ⏱️ 27.05.2021): ``` pip install hail ```
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NIPY (πŸ₯ˆ23 Β· ⭐ 300) - Neuroimaging in Python FMRI analysis package. BSD-3 +
NIPY (πŸ₯ˆ22 Β· ⭐ 300) - 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): ``` git clone https://github.com/nipy/nipy ``` -- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 1.4K / month Β· πŸ“¦ 82 Β· ⏱️ 19.02.2018): +- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 1.3K / month Β· πŸ“¦ 82 Β· ⏱️ 19.02.2018): ``` pip install nipy ``` -- [Conda](https://anaconda.org/conda-forge/nipy) (πŸ“₯ 79K Β· ⏱️ 04.05.2020): +- [Conda](https://anaconda.org/conda-forge/nipy) (πŸ“₯ 81K 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₯‰20 Β· ⭐ 2.3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 -- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 550 Β· πŸ“₯ 3.3K Β· πŸ“‹ 410 - 0% open Β· ⏱️ 31.03.2021): +- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 550 Β· πŸ“₯ 3.4K Β· πŸ“‹ 420 - 0% open Β· ⏱️ 31.03.2021): ``` git clone https://github.com/google/deepvariant ``` -- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 29K Β· ⏱️ 30.04.2021): +- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 30K Β· ⏱️ 30.04.2021): ``` conda install -c bioconda deepvariant ```
MONAI (πŸ₯‰20 Β· ⭐ 2K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 360 Β· πŸ“‹ 910 - 11% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 370 Β· πŸ“‹ 940 - 11% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 7.8K / month Β· ⏱️ 27.04.2021): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 7.9K / month Β· ⏱️ 01.06.2021): ``` pip install monai ```
Brainiak (πŸ₯‰20 Β· ⭐ 240) - Brain Imaging Analysis Kit. Apache-2 -- [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 110 Β· πŸ“¦ 12 Β· πŸ“‹ 190 - 35% open Β· ⏱️ 19.02.2021): +- [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 110 Β· πŸ“¦ 12 Β· πŸ“‹ 190 - 35% open Β· ⏱️ 28.05.2021): ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 300 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 180 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): ``` pip install brainiak ``` -- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (πŸ“₯ 560 Β· ⭐ 1 Β· ⏱️ 15.10.2020): +- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (πŸ“₯ 570 Β· ⭐ 1 Β· ⏱️ 15.10.2020): ``` docker pull brainiak/brainiak ```
Glow (πŸ₯‰20 Β· ⭐ 170) - An open-source toolkit for large-scale genomic analysis. Apache-2 -- [GitHub](https://github.com/projectglow/glow) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 45 Β· πŸ“‹ 88 - 32% open Β· ⏱️ 27.04.2021): +- [GitHub](https://github.com/projectglow/glow) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 46 Β· πŸ“‹ 91 - 31% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/projectglow/glow ``` -- [PyPi](https://pypi.org/project/glow.py) (πŸ“₯ 11K / month Β· ⏱️ 28.04.2021): +- [PyPi](https://pypi.org/project/glow.py) (πŸ“₯ 21K / month Β· ⏱️ 28.04.2021): ``` pip install glow.py ```
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MedicalTorch (πŸ₯‰17 Β· ⭐ 730) - A medical imaging framework for Pytorch. Apache-2 +
MedicalTorch (πŸ₯‰16 Β· ⭐ 740) - A medical imaging framework for Pytorch. Apache-2 - [GitHub](https://github.com/perone/medicaltorch) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 110 Β· πŸ“¦ 10 Β· πŸ“‹ 23 - 60% open Β· ⏱️ 16.04.2021): ``` git clone https://github.com/perone/medicaltorch ``` -- [PyPi](https://pypi.org/project/medicaltorch) (πŸ“₯ 190 / month Β· ⏱️ 24.11.2018): +- [PyPi](https://pypi.org/project/medicaltorch) (πŸ“₯ 150 / month Β· ⏱️ 24.11.2018): ``` pip install medicaltorch ```
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Medical Detection Toolkit (πŸ₯‰13 Β· ⭐ 960) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 +
Medical Detection Toolkit (πŸ₯‰13 Β· ⭐ 970) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 -- [GitHub](https://github.com/MIC-DKFZ/medicaldetectiontoolkit) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 240 Β· πŸ“‹ 110 - 25% open Β· ⏱️ 30.03.2021): +- [GitHub](https://github.com/MIC-DKFZ/medicaldetectiontoolkit) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 240 Β· πŸ“‹ 120 - 27% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/MIC-DKFZ/medicaldetectiontoolkit @@ -4438,7 +4427,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MedicalNet (πŸ₯‰12 Β· ⭐ 1.1K 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”€ 300 Β· πŸ“‹ 59 - 76% open Β· ⏱️ 27.08.2020): +- [GitHub](https://github.com/Tencent/MedicalNet) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 310 Β· πŸ“‹ 59 - 76% open Β· ⏱️ 27.08.2020): ``` git clone https://github.com/Tencent/MedicalNet @@ -4446,9 +4435,9 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 4 hidden projects... -- NiftyNet (πŸ₯‰22 Β· ⭐ 1.3K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 +- NiftyNet (πŸ₯ˆ22 Β· ⭐ 1.3K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - DLTK (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 -- MedPy (πŸ₯‰20 Β· ⭐ 350 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 +- MedPy (πŸ₯‰20 Β· ⭐ 350 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 - DeepNeuro (πŸ₯‰14 Β· ⭐ 100 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT

@@ -4459,123 +4448,123 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic _Libraries for optical character recognition (OCR) and text extraction from images or videos._ -
Tesseract (πŸ₯‡30 Β· ⭐ 3.6K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 +
EasyOCR (πŸ₯‡29 Β· ⭐ 12K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 + +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1.3K Β· πŸ“₯ 300K Β· πŸ“¦ 270 Β· πŸ“‹ 320 - 35% open Β· ⏱️ 30.05.2021): + + ``` + git clone https://github.com/JaidedAI/EasyOCR + ``` +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 22K / month Β· ⏱️ 30.05.2021): + ``` + pip install easyocr + ``` +
+
Tesseract (πŸ₯‡29 Β· ⭐ 3.6K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 -- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 520 Β· πŸ“‹ 260 - 2% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 520 Β· πŸ“‹ 260 - 3% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 720K / month Β· πŸ“¦ 1.4K Β· ⏱️ 15.12.2020): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 600K / month Β· πŸ“¦ 1.4K Β· ⏱️ 15.12.2020): ``` pip install pytesseract ``` -- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 440K Β· ⏱️ 30.04.2021): +- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 460K Β· ⏱️ 30.04.2021): ``` conda install -c conda-forge pytesseract ```
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EasyOCR (πŸ₯‡29 Β· ⭐ 11K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 +
OCRmyPDF (πŸ₯ˆ27 Β· ⭐ 4.3K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1.3K Β· πŸ“₯ 280K Β· πŸ“¦ 220 Β· πŸ“‹ 310 - 39% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/jbarlow83/OCRmyPDF) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 450 Β· πŸ“¦ 160 Β· πŸ“‹ 710 - 13% open Β· ⏱️ 27.05.2021): ``` - git clone https://github.com/JaidedAI/EasyOCR + git clone https://github.com/jbarlow83/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 18K / month Β· ⏱️ 24.04.2021): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 18K / month Β· πŸ“¦ 12 Β· ⏱️ 27.05.2021): ``` - pip install easyocr + pip install ocrmypdf ```
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OCRmyPDF (πŸ₯ˆ27 Β· ⭐ 4.2K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 +
PaddleOCR (πŸ₯ˆ25 Β· ⭐ 13K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/jbarlow83/OCRmyPDF) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 450 Β· πŸ“¦ 150 Β· πŸ“‹ 700 - 13% open Β· ⏱️ 09.05.2021): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 2.5K Β· πŸ“¦ 160 Β· πŸ“‹ 2.1K - 31% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/jbarlow83/OCRmyPDF + git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 19K / month Β· πŸ“¦ 12 Β· ⏱️ 27.04.2021): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 6.2K / month Β· ⏱️ 13.04.2021): ``` - pip install ocrmypdf + pip install paddleocr ```
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tesserocr (πŸ₯ˆ27 Β· ⭐ 1.4K) - A Python wrapper for the tesseract-ocr API. MIT +
tesserocr (πŸ₯ˆ25 Β· ⭐ 1.5K Β· πŸ“‰) - A Python wrapper for the tesseract-ocr API. MIT - [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 200 Β· πŸ“¦ 500 Β· πŸ“‹ 210 - 29% open Β· ⏱️ 23.03.2021): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 73K / month Β· πŸ“¦ 100 Β· ⏱️ 17.03.2020): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 48K / month Β· πŸ“¦ 100 Β· ⏱️ 17.03.2020): ``` pip install tesserocr ``` -- [Conda](https://anaconda.org/conda-forge/tesserocr) (πŸ“₯ 45K Β· ⏱️ 13.01.2021): +- [Conda](https://anaconda.org/conda-forge/tesserocr) (πŸ“₯ 47K Β· ⏱️ 13.01.2021): ``` conda install -c conda-forge tesserocr ```
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PaddleOCR (πŸ₯ˆ25 Β· ⭐ 12K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 - -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 2.5K Β· πŸ“¦ 140 Β· πŸ“‹ 1.9K - 39% open Β· ⏱️ 13.05.2021): - - ``` - git clone https://github.com/PaddlePaddle/PaddleOCR - ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 5.3K / month Β· ⏱️ 13.04.2021): - ``` - pip install paddleocr - ``` -
attention-ocr (πŸ₯‰20 Β· ⭐ 860 Β· πŸ’€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT -- [GitHub](https://github.com/emedvedev/attention-ocr) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 230 Β· πŸ“¦ 16 Β· πŸ“‹ 150 - 13% open Β· ⏱️ 31.10.2020): +- [GitHub](https://github.com/emedvedev/attention-ocr) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 230 Β· πŸ“¦ 17 Β· πŸ“‹ 150 - 13% open Β· ⏱️ 31.10.2020): ``` git clone https://github.com/emedvedev/attention-ocr ``` -- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 250 / month Β· ⏱️ 19.04.2019): +- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 340 / month Β· ⏱️ 19.04.2019): ``` pip install aocr ```
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keras-ocr (πŸ₯‰20 Β· ⭐ 840) - A packaged and flexible version of the CRAFT text detector and.. MIT +
keras-ocr (πŸ₯‰19 Β· ⭐ 860) - 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”€ 200 Β· πŸ“₯ 42K Β· πŸ“‹ 140 - 28% open Β· ⏱️ 31.03.2021): +- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 210 Β· πŸ“₯ 46K Β· πŸ“‹ 140 - 29% open Β· ⏱️ 31.03.2021): ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 3.7K / month Β· πŸ“¦ 2 Β· ⏱️ 26.11.2020): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 4.2K / month Β· πŸ“¦ 2 Β· ⏱️ 26.11.2020): ``` pip install keras-ocr ```
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calamari (πŸ₯‰19 Β· ⭐ 810) - Line based ATR Engine based on OCRopy. Apache-2 +
calamari (πŸ₯‰19 Β· ⭐ 820) - Line based ATR Engine based on OCRopy. Apache-2 -- [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 180 Β· πŸ“‹ 190 - 19% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 180 Β· πŸ“‹ 200 - 16% open Β· ⏱️ 30.05.2021): ``` git clone https://github.com/Calamari-OCR/calamari ``` -- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 950 / month Β· πŸ“¦ 2 Β· ⏱️ 13.11.2018): +- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 13.11.2018): ``` pip install calamari_ocr ```
doc2text (πŸ₯‰18 Β· ⭐ 1.2K) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python module.. MIT -- [GitHub](https://github.com/jlsutherland/doc2text) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 93 Β· πŸ“¦ 36 Β· πŸ“‹ 21 - 57% open Β· ⏱️ 01.12.2020): +- [GitHub](https://github.com/jlsutherland/doc2text) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 92 Β· πŸ“¦ 37 Β· πŸ“‹ 21 - 57% open Β· ⏱️ 01.12.2020): ``` git clone https://github.com/jlsutherland/doc2text ``` -- [PyPi](https://pypi.org/project/doc2text) (πŸ“₯ 550 / month Β· ⏱️ 06.09.2016): +- [PyPi](https://pypi.org/project/doc2text) (πŸ“₯ 610 / month Β· ⏱️ 06.09.2016): ``` pip install doc2text ```
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Mozart (πŸ₯‰10 Β· ⭐ 260 Β· 🐣) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 +
Mozart (πŸ₯‰11 Β· ⭐ 260 Β· 🐣) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 - [GitHub](https://github.com/aashrafh/Mozart) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 40 Β· πŸ“‹ 3 - 33% open Β· ⏱️ 05.05.2021): @@ -4597,120 +4586,136 @@ _General-purpose data containers & structures as well as utilities & extensions
pandas (πŸ₯‡43 Β· ⭐ 30K) - Flexible and powerful data analysis / manipulation library for.. BSD-3 -- [GitHub](https://github.com/pandas-dev/pandas) (πŸ‘¨β€πŸ’» 2.7K Β· πŸ”€ 12K Β· πŸ“₯ 110K Β· πŸ“¦ 440K Β· πŸ“‹ 21K - 17% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/pandas-dev/pandas) (πŸ‘¨β€πŸ’» 2.7K Β· πŸ”€ 12K Β· πŸ“₯ 110K Β· πŸ“¦ 460K Β· πŸ“‹ 21K - 17% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/pandas-dev/pandas ``` -- [PyPi](https://pypi.org/project/pandas) (πŸ“₯ 48M / month Β· πŸ“¦ 77K Β· ⏱️ 12.04.2021): +- [PyPi](https://pypi.org/project/pandas) (πŸ“₯ 49M / month Β· πŸ“¦ 77K Β· ⏱️ 12.04.2021): ``` pip install pandas ``` -- [Conda](https://anaconda.org/conda-forge/pandas) (πŸ“₯ 16M Β· ⏱️ 13.04.2021): +- [Conda](https://anaconda.org/conda-forge/pandas) (πŸ“₯ 17M Β· ⏱️ 13.04.2021): ``` conda install -c conda-forge pandas ```
numpy (πŸ₯‡38 Β· ⭐ 17K) - The fundamental package for scientific computing with Python. BSD-3 -- [GitHub](https://github.com/numpy/numpy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.5K Β· πŸ“₯ 340K Β· πŸ“¦ 710K Β· πŸ“‹ 9.8K - 23% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/numpy/numpy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.5K Β· πŸ“₯ 350K Β· πŸ“¦ 730K Β· πŸ“‹ 9.8K - 23% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/numpy/numpy ``` -- [PyPi](https://pypi.org/project/numpy) (πŸ“₯ 73M / month Β· πŸ“¦ 170K Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/numpy) (πŸ“₯ 76M / month Β· πŸ“¦ 170K Β· ⏱️ 24.05.2021): ``` pip install numpy ``` -- [Conda](https://anaconda.org/conda-forge/numpy) (πŸ“₯ 19M Β· ⏱️ 28.03.2021): +- [Conda](https://anaconda.org/conda-forge/numpy) (πŸ“₯ 20M Β· ⏱️ 26.05.2021): ``` conda install -c conda-forge numpy ```
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Arrow (πŸ₯‡36 Β· ⭐ 7.9K) - Apache Arrow is a cross-language development platform for in-memory.. Apache-2 +
Arrow (πŸ₯‡36 Β· ⭐ 8K) - Apache Arrow is a cross-language development platform for in-memory.. Apache-2 -- [GitHub](https://github.com/apache/arrow) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 1.9K Β· πŸ“¦ 41 Β· πŸ“‹ 750 - 20% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/apache/arrow) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 1.9K Β· πŸ“¦ 44 Β· πŸ“‹ 760 - 20% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/apache/arrow ``` -- [PyPi](https://pypi.org/project/pyarrow) (πŸ“₯ 28M / month Β· πŸ“¦ 990 Β· ⏱️ 26.04.2021): +- [PyPi](https://pypi.org/project/pyarrow) (πŸ“₯ 24M / month Β· πŸ“¦ 990 Β· ⏱️ 30.05.2021): ``` pip install pyarrow ``` -- [Conda](https://anaconda.org/conda-forge/arrow) (πŸ“₯ 570K Β· ⏱️ 06.05.2021): +- [Conda](https://anaconda.org/conda-forge/arrow) (πŸ“₯ 600K Β· ⏱️ 06.05.2021): ``` conda install -c conda-forge arrow ```
h5py (πŸ₯‡36 Β· ⭐ 1.5K) - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5.. BSD-3 -- [GitHub](https://github.com/h5py/h5py) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 400 Β· πŸ“₯ 1.1K Β· πŸ“¦ 110K Β· πŸ“‹ 1.2K - 18% open Β· ⏱️ 28.04.2021): +- [GitHub](https://github.com/h5py/h5py) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 400 Β· πŸ“₯ 1.1K Β· πŸ“¦ 120K Β· πŸ“‹ 1.2K - 18% open Β· ⏱️ 28.04.2021): ``` git clone https://github.com/h5py/h5py ``` -- [PyPi](https://pypi.org/project/h5py) (πŸ“₯ 9.8M / month Β· πŸ“¦ 23K Β· ⏱️ 05.03.2021): +- [PyPi](https://pypi.org/project/h5py) (πŸ“₯ 10M / month Β· πŸ“¦ 23K Β· ⏱️ 05.03.2021): ``` pip install h5py ``` -- [Conda](https://anaconda.org/conda-forge/h5py) (πŸ“₯ 5.2M Β· ⏱️ 16.04.2021): +- [Conda](https://anaconda.org/conda-forge/h5py) (πŸ“₯ 5.3M Β· ⏱️ 16.04.2021): ``` conda install -c conda-forge h5py ```
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xarray (πŸ₯ˆ33 Β· ⭐ 2K) - N-D labeled arrays and datasets in Python. Apache-2 +
xarray (πŸ₯ˆ33 Β· ⭐ 2.1K) - N-D labeled arrays and datasets in Python. Apache-2 -- [GitHub](https://github.com/pydata/xarray) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 660 Β· πŸ“¦ 6.1K Β· πŸ“‹ 2.8K - 28% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/pydata/xarray) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 680 Β· πŸ“¦ 6.4K Β· πŸ“‹ 2.9K - 28% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/pydata/xarray ``` -- [PyPi](https://pypi.org/project/xarray) (πŸ“₯ 560K / month Β· πŸ“¦ 1.1K Β· ⏱️ 06.05.2021): +- [PyPi](https://pypi.org/project/xarray) (πŸ“₯ 590K / month Β· πŸ“¦ 1.1K Β· ⏱️ 19.05.2021): ``` pip install xarray ``` -- [Conda](https://anaconda.org/conda-forge/xarray) (πŸ“₯ 2.8M Β· ⏱️ 06.05.2021): +- [Conda](https://anaconda.org/conda-forge/xarray) (πŸ“₯ 2.9M Β· ⏱️ 20.05.2021): ``` conda install -c conda-forge xarray ```
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numexpr (πŸ₯ˆ31 Β· ⭐ 1.6K) - Fast numerical array expression evaluator for Python, NumPy, PyTables,.. MIT +
numexpr (πŸ₯ˆ30 Β· ⭐ 1.6K) - Fast numerical array expression evaluator for Python, NumPy, PyTables,.. MIT - [GitHub](https://github.com/pydata/numexpr) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 170 Β· πŸ“‹ 300 - 17% open Β· ⏱️ 03.03.2021): ``` git clone https://github.com/pydata/numexpr ``` -- [PyPi](https://pypi.org/project/numexpr) (πŸ“₯ 1.2M / month Β· πŸ“¦ 5.5K Β· ⏱️ 03.03.2021): +- [PyPi](https://pypi.org/project/numexpr) (πŸ“₯ 1.3M / month Β· πŸ“¦ 5.5K Β· ⏱️ 03.03.2021): ``` pip install numexpr ``` -- [Conda](https://anaconda.org/conda-forge/numexpr) (πŸ“₯ 2.5M Β· ⏱️ 05.03.2021): +- [Conda](https://anaconda.org/conda-forge/numexpr) (πŸ“₯ 2.6M Β· ⏱️ 05.03.2021): ``` conda install -c conda-forge numexpr ```
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Modin (πŸ₯ˆ29 Β· ⭐ 6K) - Modin: Speed up your Pandas workflows by changing a single line of.. Apache-2 +
Bottleneck (πŸ₯ˆ30 Β· ⭐ 620) - Fast NumPy array functions written in C. BSD-2 + +- [GitHub](https://github.com/pydata/bottleneck) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 66 Β· πŸ“¦ 22K Β· πŸ“‹ 210 - 14% open Β· ⏱️ 24.01.2021): + + ``` + git clone https://github.com/pydata/bottleneck + ``` +- [PyPi](https://pypi.org/project/Bottleneck) (πŸ“₯ 580K / month Β· πŸ“¦ 2.9K Β· ⏱️ 21.02.2020): + ``` + pip install Bottleneck + ``` +- [Conda](https://anaconda.org/conda-forge/bottleneck) (πŸ“₯ 1.6M Β· ⏱️ 21.01.2021): + ``` + conda install -c conda-forge bottleneck + ``` +
+
Modin (πŸ₯ˆ29 Β· ⭐ 6.1K) - Modin: Speed up your Pandas workflows by changing a single line of.. Apache-2 -- [GitHub](https://github.com/modin-project/modin) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 430 Β· πŸ“₯ 200K Β· πŸ“¦ 360 Β· πŸ“‹ 1.7K - 29% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/modin-project/modin) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 430 Β· πŸ“₯ 200K Β· πŸ“¦ 380 Β· πŸ“‹ 1.8K - 29% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/modin-project/modin ``` -- [PyPi](https://pypi.org/project/modin) (πŸ“₯ 150K / month Β· πŸ“¦ 18 Β· ⏱️ 04.03.2021): +- [PyPi](https://pypi.org/project/modin) (πŸ“₯ 170K / month Β· πŸ“¦ 18 Β· ⏱️ 04.03.2021): ``` pip install modin ```
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TinyDB (πŸ₯ˆ29 Β· ⭐ 4.2K) - TinyDB is a lightweight document oriented database optimized for your.. MIT +
TinyDB (πŸ₯ˆ29 Β· ⭐ 4.3K) - TinyDB is a lightweight document oriented database optimized for your.. MIT -- [GitHub](https://github.com/msiemens/tinydb) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 370 Β· πŸ“‹ 260 - 3% open Β· ⏱️ 19.04.2021): +- [GitHub](https://github.com/msiemens/tinydb) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 380 Β· πŸ“‹ 260 - 3% open Β· ⏱️ 17.05.2021): ``` git clone https://github.com/msiemens/tinydb ``` -- [PyPi](https://pypi.org/project/tinydb) (πŸ“₯ 290K / month Β· πŸ“¦ 1.1K Β· ⏱️ 11.02.2021): +- [PyPi](https://pypi.org/project/tinydb) (πŸ“₯ 270K / month Β· πŸ“¦ 1.1K Β· ⏱️ 11.02.2021): ``` pip install tinydb ``` @@ -4721,55 +4726,55 @@ _General-purpose data containers & structures as well as utilities & extensions
Koalas (πŸ₯ˆ29 Β· ⭐ 2.8K) - Koalas: pandas API on Apache Spark. Apache-2 -- [GitHub](https://github.com/databricks/koalas) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 310 Β· πŸ“₯ 1K Β· πŸ“¦ 92 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 03.05.2021): +- [GitHub](https://github.com/databricks/koalas) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 310 Β· πŸ“₯ 1K Β· πŸ“¦ 96 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 03.05.2021): ``` git clone https://github.com/databricks/koalas ``` -- [PyPi](https://pypi.org/project/koalas) (πŸ“₯ 2.9M / month Β· πŸ“¦ 2 Β· ⏱️ 03.05.2021): +- [PyPi](https://pypi.org/project/koalas) (πŸ“₯ 3M / month Β· πŸ“¦ 2 Β· ⏱️ 03.05.2021): ``` pip install koalas ``` -- [Conda](https://anaconda.org/conda-forge/koalas) (πŸ“₯ 87K Β· ⏱️ 03.05.2021): +- [Conda](https://anaconda.org/conda-forge/koalas) (πŸ“₯ 89K Β· ⏱️ 03.05.2021): ``` conda install -c conda-forge koalas ```
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PyTables (πŸ₯ˆ29 Β· ⭐ 1K) - A Python package to manage extremely large amounts of data. BSD-3 +
PyTables (πŸ₯ˆ28 Β· ⭐ 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“₯ 140 Β· πŸ“‹ 620 - 27% open Β· ⏱️ 20.03.2021): ``` git clone https://github.com/PyTables/PyTables ``` -- [PyPi](https://pypi.org/project/tables) (πŸ“₯ 650K / month Β· πŸ“¦ 3.8K Β· ⏱️ 30.10.2019): +- [PyPi](https://pypi.org/project/tables) (πŸ“₯ 710K / month Β· πŸ“¦ 3.8K Β· ⏱️ 30.10.2019): ``` pip install tables ``` -- [Conda](https://anaconda.org/conda-forge/pytables) (πŸ“₯ 2.6M Β· ⏱️ 14.01.2021): +- [Conda](https://anaconda.org/conda-forge/pytables) (πŸ“₯ 2.7M Β· ⏱️ 14.01.2021): ``` conda install -c conda-forge pytables ```
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Bottleneck (πŸ₯ˆ29 Β· ⭐ 610) - Fast NumPy array functions written in C. BSD-2 +
zarr (πŸ₯‰27 Β· ⭐ 710) - An implementation of chunked, compressed, N-dimensional arrays for Python. MIT -- [GitHub](https://github.com/pydata/bottleneck) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 65 Β· πŸ“¦ 22K Β· πŸ“‹ 210 - 14% open Β· ⏱️ 24.01.2021): +- [GitHub](https://github.com/zarr-developers/zarr-python) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 120 Β· πŸ“¦ 700 Β· πŸ“‹ 440 - 45% open Β· ⏱️ 01.06.2021): ``` - git clone https://github.com/pydata/bottleneck + git clone https://github.com/zarr-developers/zarr-python ``` -- [PyPi](https://pypi.org/project/Bottleneck) (πŸ“₯ 400K / month Β· πŸ“¦ 2.9K Β· ⏱️ 21.02.2020): +- [PyPi](https://pypi.org/project/zarr) (πŸ“₯ 53K / month Β· πŸ“¦ 72 Β· ⏱️ 20.05.2021): ``` - pip install Bottleneck + pip install zarr ``` -- [Conda](https://anaconda.org/conda-forge/bottleneck) (πŸ“₯ 1.5M Β· ⏱️ 21.01.2021): +- [Conda](https://anaconda.org/conda-forge/zarr) (πŸ“₯ 760K Β· ⏱️ 21.05.2021): ``` - conda install -c conda-forge bottleneck + conda install -c conda-forge zarr ```
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datasketch (πŸ₯‰27 Β· ⭐ 1.5K) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog,.. MIT +
datasketch (πŸ₯‰26 Β· ⭐ 1.5K) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog,.. MIT -- [GitHub](https://github.com/ekzhu/datasketch) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 210 Β· πŸ“₯ 16 Β· πŸ“¦ 280 Β· πŸ“‹ 110 - 17% open Β· ⏱️ 24.02.2021): +- [GitHub](https://github.com/ekzhu/datasketch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 210 Β· πŸ“₯ 16 Β· πŸ“¦ 290 Β· πŸ“‹ 110 - 18% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/ekzhu/datasketch @@ -4779,22 +4784,6 @@ _General-purpose data containers & structures as well as utilities & extensions pip install datasketch ```
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zarr (πŸ₯‰27 Β· ⭐ 700) - An implementation of chunked, compressed, N-dimensional arrays for Python. MIT - -- [GitHub](https://github.com/zarr-developers/zarr-python) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 120 Β· πŸ“¦ 670 Β· πŸ“‹ 420 - 44% open Β· ⏱️ 13.05.2021): - - ``` - git clone https://github.com/zarr-developers/zarr-python - ``` -- [PyPi](https://pypi.org/project/zarr) (πŸ“₯ 100K / month Β· πŸ“¦ 72 Β· ⏱️ 27.04.2021): - ``` - pip install zarr - ``` -- [Conda](https://anaconda.org/conda-forge/zarr) (πŸ“₯ 730K Β· ⏱️ 27.04.2021): - ``` - conda install -c conda-forge zarr - ``` -
bcolz (πŸ₯‰26 Β· ⭐ 920 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): @@ -4802,60 +4791,60 @@ _General-purpose data containers & structures as well as utilities & extensions ``` git clone https://github.com/Blosc/bcolz ``` -- [PyPi](https://pypi.org/project/bcolz) (πŸ“₯ 28K / month Β· πŸ“¦ 970 Β· ⏱️ 13.04.2018): +- [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“₯ 240K Β· ⏱️ 05.11.2019): +- [Conda](https://anaconda.org/conda-forge/bcolz) (πŸ“₯ 250K Β· ⏱️ 05.11.2019): ``` conda install -c conda-forge bcolz ```
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Vaex (πŸ₯‰25 Β· ⭐ 6.1K) - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and.. MIT +
Vaex (πŸ₯‰25 Β· ⭐ 6.3K) - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and.. MIT -- [GitHub](https://github.com/vaexio/vaex) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 460 Β· πŸ“₯ 210 Β· πŸ“‹ 760 - 41% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/vaexio/vaex) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 470 Β· πŸ“₯ 210 Β· πŸ“‹ 770 - 41% open Β· ⏱️ 28.05.2021): ``` git clone https://github.com/vaexio/vaex ``` -- [PyPi](https://pypi.org/project/vaex) (πŸ“₯ 12K / month Β· πŸ“¦ 4 Β· ⏱️ 18.03.2021): +- [PyPi](https://pypi.org/project/vaex) (πŸ“₯ 14K / month Β· πŸ“¦ 4 Β· ⏱️ 18.03.2021): ``` pip install vaex ``` -- [Conda](https://anaconda.org/conda-forge/vaex) (πŸ“₯ 100K Β· ⏱️ 09.03.2021): +- [Conda](https://anaconda.org/conda-forge/vaex) (πŸ“₯ 110K Β· ⏱️ 09.03.2021): ``` conda install -c conda-forge vaex ```
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swifter (πŸ₯‰25 Β· ⭐ 1.6K) - A package which efficiently applies any function to a pandas.. MIT +
swifter (πŸ₯‰25 Β· ⭐ 1.7K) - A package which efficiently applies any function to a pandas.. MIT -- [GitHub](https://github.com/jmcarpenter2/swifter) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 78 Β· πŸ“¦ 330 Β· πŸ“‹ 96 - 20% open Β· ⏱️ 19.12.2020): +- [GitHub](https://github.com/jmcarpenter2/swifter) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 80 Β· πŸ“¦ 340 Β· πŸ“‹ 96 - 19% open Β· ⏱️ 19.12.2020): ``` git clone https://github.com/jmcarpenter2/swifter ``` -- [PyPi](https://pypi.org/project/swifter) (πŸ“₯ 96K / month Β· πŸ“¦ 32 Β· ⏱️ 11.10.2020): +- [PyPi](https://pypi.org/project/swifter) (πŸ“₯ 78K / month Β· πŸ“¦ 32 Β· ⏱️ 11.10.2020): ``` pip install swifter ``` -- [Conda](https://anaconda.org/conda-forge/swifter) (πŸ“₯ 97K Β· ⏱️ 05.04.2021): +- [Conda](https://anaconda.org/conda-forge/swifter) (πŸ“₯ 100K Β· ⏱️ 05.04.2021): ``` conda install -c conda-forge swifter ```
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PandaralΒ·lel (πŸ₯‰25 Β· ⭐ 1.5K) - A simple and efficient tool to parallelize Pandas.. BSD-3 +
PandaralΒ·lel (πŸ₯‰25 Β· ⭐ 1.6K) - A simple and efficient tool to parallelize Pandas.. BSD-3 -- [GitHub](https://github.com/nalepae/pandarallel) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“¦ 210 Β· πŸ“‹ 120 - 55% open Β· ⏱️ 04.02.2021): +- [GitHub](https://github.com/nalepae/pandarallel) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 110 Β· πŸ“¦ 230 Β· πŸ“‹ 120 - 55% open Β· ⏱️ 04.02.2021): ``` git clone https://github.com/nalepae/pandarallel ``` -- [PyPi](https://pypi.org/project/pandarallel) (πŸ“₯ 280K / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/pandarallel) (πŸ“₯ 150K / month Β· ⏱️ 04.02.2021): ``` pip install pandarallel ```
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Arctic (πŸ₯‰24 Β· ⭐ 2.3K) - Arctic is a high performance datastore for numeric data. ❗️LGPL-2.1 +
Arctic (πŸ₯‰23 Β· ⭐ 2.3K) - 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“₯ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 520 - 16% open Β· ⏱️ 16.04.2021): @@ -4871,80 +4860,80 @@ _General-purpose data containers & structures as well as utilities & extensions conda install -c conda-forge arctic ```
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datatable (πŸ₯‰21 Β· ⭐ 1.2K) - A Python package for manipulating 2-dimensional tabular data.. MPL-2.0 +
StaticFrame (πŸ₯‰21 Β· ⭐ 230) - Immutable and grow-only Pandas-like DataFrames with a more explicit.. MIT -- [GitHub](https://github.com/h2oai/datatable) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 100 Β· πŸ“₯ 990 Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/InvestmentSystems/static-frame) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 22 Β· πŸ“¦ 6 Β· πŸ“‹ 300 - 9% open Β· ⏱️ 01.06.2021): ``` - git clone https://github.com/h2oai/datatable + git clone https://github.com/InvestmentSystems/static-frame ``` -- [PyPi](https://pypi.org/project/datatable) (πŸ“₯ 25K / month Β· πŸ“¦ 6 Β· ⏱️ 10.12.2020): +- [PyPi](https://pypi.org/project/static-frame) (πŸ“₯ 850 / month Β· ⏱️ 01.06.2021): ``` - pip install datatable + pip install static-frame + ``` +- [Conda](https://anaconda.org/conda-forge/static-frame) (πŸ“₯ 87K Β· ⏱️ 01.06.2021): + ``` + conda install -c conda-forge static-frame ```
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StaticFrame (πŸ₯‰21 Β· ⭐ 220) - Immutable and grow-only Pandas-like DataFrames with a more explicit.. MIT +
datatable (πŸ₯‰20 Β· ⭐ 1.2K) - A Python package for manipulating 2-dimensional tabular data.. MPL-2.0 -- [GitHub](https://github.com/InvestmentSystems/static-frame) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 22 Β· πŸ“¦ 6 Β· πŸ“‹ 300 - 8% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/h2oai/datatable) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 110 Β· πŸ“₯ 990 Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 26.05.2021): ``` - git clone https://github.com/InvestmentSystems/static-frame + git clone https://github.com/h2oai/datatable ``` -- [PyPi](https://pypi.org/project/static-frame) (πŸ“₯ 950 / month Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/datatable) (πŸ“₯ 29K / month Β· πŸ“¦ 6 Β· ⏱️ 10.12.2020): ``` - pip install static-frame + pip install datatable + ``` +
+
Bounter (πŸ₯‰19 Β· ⭐ 910) - 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“¦ 22 Β· πŸ“‹ 21 - 57% open Β· ⏱️ 24.05.2021): + + ``` + git clone https://github.com/RaRe-Technologies/bounter ``` -- [Conda](https://anaconda.org/conda-forge/static-frame) (πŸ“₯ 84K Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/bounter) (πŸ“₯ 190 / month Β· πŸ“¦ 14 Β· ⏱️ 17.08.2020): ``` - conda install -c conda-forge static-frame + pip install bounter ```
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fletcher (πŸ₯‰19 Β· ⭐ 210 Β· πŸ“‰) - Pandas ExtensionDType/Array backed by Apache Arrow. MIT +
fletcher (πŸ₯‰19 Β· ⭐ 210) - Pandas ExtensionDType/Array backed by Apache Arrow. MIT - [GitHub](https://github.com/xhochy/fletcher) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 33 Β· πŸ“₯ 12 Β· πŸ“¦ 3 Β· πŸ“‹ 74 - 45% open Β· ⏱️ 18.02.2021): ``` git clone https://github.com/xhochy/fletcher ``` -- [PyPi](https://pypi.org/project/fletcher) (πŸ“₯ 250 / month Β· ⏱️ 17.01.2021): +- [PyPi](https://pypi.org/project/fletcher) (πŸ“₯ 170 / month Β· ⏱️ 17.01.2021): ``` pip install fletcher ``` -- [Conda](https://anaconda.org/conda-forge/fletcher) (πŸ“₯ 23K Β· ⏱️ 17.01.2021): +- [Conda](https://anaconda.org/conda-forge/fletcher) (πŸ“₯ 24K Β· ⏱️ 17.01.2021): ``` conda install -c conda-forge fletcher ```
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Bounter (πŸ₯‰18 Β· ⭐ 900 Β· πŸ’€) - 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“¦ 22 Β· πŸ“‹ 20 - 55% open Β· ⏱️ 16.08.2020): - - ``` - git clone https://github.com/RaRe-Technologies/bounter - ``` -- [PyPi](https://pypi.org/project/bounter) (πŸ“₯ 200 / month Β· πŸ“¦ 14 Β· ⏱️ 17.08.2020): - ``` - pip install bounter - ``` -
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PandaPy (πŸ₯‰13 Β· ⭐ 470) - PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x.. MIT +
PandaPy (πŸ₯‰13 Β· ⭐ 480 Β· πŸ’€) - PandaPy has the speed of NumPy and the usability of Pandas 10x to.. MIT -- [GitHub](https://github.com/firmai/pandapy) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 48 Β· πŸ“¦ 1 Β· πŸ“‹ 3 - 66% open Β· ⏱️ 12.11.2020): +- [GitHub](https://github.com/firmai/pandapy) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 49 Β· πŸ“¦ 1 Β· πŸ“‹ 3 - 66% open Β· ⏱️ 12.11.2020): ``` git clone https://github.com/firmai/pandapy ``` -- [PyPi](https://pypi.org/project/pandapy) (πŸ“₯ 54 / month Β· ⏱️ 25.01.2020): +- [PyPi](https://pypi.org/project/pandapy) (πŸ“₯ 39 / month Β· ⏱️ 25.01.2020): ``` pip install pandapy ```
Show 5 hidden projects... -- Blaze (πŸ₯‰28 Β· ⭐ 3K Β· πŸ’€) - NumPy and Pandas interface to Big Data. BSD-3 -- sklearn-pandas (πŸ₯‰28 Β· ⭐ 2.4K) - Pandas integration with sklearn. ❗️Zlib -- pandasql (πŸ₯‰22 Β· ⭐ 980 Β· πŸ’€) - sqldf for pandas. MIT -- pickleDB (πŸ₯‰22 Β· ⭐ 560 Β· πŸ’€) - pickleDB is an open source key-value store using Python's json.. BSD-3 +- Blaze (πŸ₯ˆ28 Β· ⭐ 3K Β· πŸ’€) - NumPy and Pandas interface to Big Data. BSD-3 +- sklearn-pandas (πŸ₯ˆ28 Β· ⭐ 2.4K) - Pandas integration with sklearn. ❗️Zlib +- pandasql (πŸ₯‰23 Β· ⭐ 990 Β· πŸ’€) - sqldf for pandas. MIT +- pickleDB (πŸ₯‰21 Β· ⭐ 560 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

@@ -4957,23 +4946,23 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
Faker (πŸ₯‡37 Β· ⭐ 13K) - Faker is a Python package that generates fake data for you. MIT -- [GitHub](https://github.com/joke2k/faker) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1.4K Β· πŸ“¦ 28K Β· πŸ“‹ 510 - 28% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/joke2k/faker) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1.4K Β· πŸ“¦ 30K Β· πŸ“‹ 510 - 28% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/joke2k/faker ``` -- [PyPi](https://pypi.org/project/Faker) (πŸ“₯ 4.2M / month Β· πŸ“¦ 4.7K Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/Faker) (πŸ“₯ 4.3M / month Β· πŸ“¦ 4.7K Β· ⏱️ 02.06.2021): ``` pip install Faker ``` -- [Conda](https://anaconda.org/conda-forge/faker) (πŸ“₯ 420K Β· ⏱️ 10.05.2021): +- [Conda](https://anaconda.org/conda-forge/faker) (πŸ“₯ 440K Β· ⏱️ 02.06.2021): ``` conda install -c conda-forge faker ```
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TensorFlow Datasets (πŸ₯‡33 Β· ⭐ 2.8K) - TFDS is a collection of datasets ready to use with.. Apache-2 +
TensorFlow Datasets (πŸ₯‡33 Β· ⭐ 2.9K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1K Β· πŸ“¦ 4.6K Β· πŸ“‹ 1K - 44% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1K Β· πŸ“¦ 4.9K Β· πŸ“‹ 1K - 44% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/tensorflow/datasets @@ -4983,86 +4972,86 @@ _Libraries for loading, collecting, and extracting data from a variety of data s pip install tensorflow-datasets ```
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xlrd (πŸ₯‡33 Β· ⭐ 1.9K) - Please use openpyxl where you can... BSD-3 +
Datasets (πŸ₯‡32 Β· ⭐ 8.3K) - The largest hub of ready-to-use NLP datasets for ML models with.. Apache-2 -- [GitHub](https://github.com/python-excel/xlrd) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 410 Β· πŸ“¦ 71K Β· ⏱️ 12.12.2020): +- [GitHub](https://github.com/huggingface/datasets) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 930 Β· πŸ“¦ 880 Β· πŸ“‹ 780 - 37% open Β· ⏱️ 03.06.2021): ``` - git clone https://github.com/python-excel/xlrd - ``` -- [PyPi](https://pypi.org/project/xlrd) (πŸ“₯ 9.7M / month Β· πŸ“¦ 14K Β· ⏱️ 11.12.2020): - ``` - pip install xlrd + git clone https://github.com/huggingface/datasets ``` -- [Conda](https://anaconda.org/conda-forge/xlrd) (πŸ“₯ 1.4M Β· ⏱️ 09.01.2021): +- [PyPi](https://pypi.org/project/datasets) (πŸ“₯ 150K / month Β· πŸ“¦ 18 Β· ⏱️ 27.05.2021): ``` - conda install -c conda-forge xlrd + pip install datasets ```
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Tablib (πŸ₯ˆ32 Β· ⭐ 4K) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. MIT +
python-magic (πŸ₯‡32 Β· ⭐ 1.9K) - A python wrapper for libmagic. MIT -- [GitHub](https://github.com/jazzband/tablib) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 560 Β· πŸ“¦ 10K Β· πŸ“‹ 230 - 14% open Β· ⏱️ 01.03.2021): +- [GitHub](https://github.com/ahupp/python-magic) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 220 Β· πŸ“¦ 15K Β· πŸ“‹ 160 - 17% open Β· ⏱️ 03.06.2021): ``` - git clone https://github.com/jazzband/tablib + git clone https://github.com/ahupp/python-magic ``` -- [PyPi](https://pypi.org/project/tablib) (πŸ“₯ 960K / month Β· πŸ“¦ 2.4K Β· ⏱️ 05.12.2020): +- [PyPi](https://pypi.org/project/python-magic) (πŸ“₯ 2.5M / month Β· πŸ“¦ 5.1K Β· ⏱️ 03.06.2021): ``` - pip install tablib + pip install python-magic ``` -- [Conda](https://anaconda.org/conda-forge/tablib) (πŸ“₯ 62K Β· ⏱️ 05.12.2020): +- [Conda](https://anaconda.org/conda-forge/python-magic) (πŸ“₯ 90K Β· ⏱️ 05.03.2021): ``` - conda install -c conda-forge tablib + conda install -c conda-forge python-magic ```
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python-magic (πŸ₯ˆ32 Β· ⭐ 1.9K) - A python wrapper for libmagic. MIT +
xlrd (πŸ₯‡32 Β· ⭐ 1.9K) - Please use openpyxl where you can... BSD-3 -- [GitHub](https://github.com/ahupp/python-magic) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 220 Β· πŸ“¦ 14K Β· πŸ“‹ 160 - 17% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/python-excel/xlrd) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 410 Β· πŸ“¦ 73K Β· ⏱️ 12.12.2020): ``` - git clone https://github.com/ahupp/python-magic + git clone https://github.com/python-excel/xlrd ``` -- [PyPi](https://pypi.org/project/python-magic) (πŸ“₯ 2.6M / month Β· πŸ“¦ 5.1K Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/xlrd) (πŸ“₯ 9.5M / month Β· πŸ“¦ 14K Β· ⏱️ 11.12.2020): ``` - pip install python-magic + pip install xlrd ``` -- [Conda](https://anaconda.org/conda-forge/python-magic) (πŸ“₯ 88K Β· ⏱️ 05.03.2021): +- [Conda](https://anaconda.org/conda-forge/xlrd) (πŸ“₯ 1.4M Β· ⏱️ 09.01.2021): ``` - conda install -c conda-forge python-magic + conda install -c conda-forge xlrd ```
-
Datasets (πŸ₯ˆ31 Β· ⭐ 8.2K) - The largest hub of ready-to-use NLP datasets for ML models with.. Apache-2 +
Tablib (πŸ₯ˆ30 Β· ⭐ 4K Β· πŸ“‰) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. MIT -- [GitHub](https://github.com/huggingface/datasets) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 900 Β· πŸ“¦ 740 Β· πŸ“‹ 760 - 38% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/jazzband/tablib) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 560 Β· πŸ“¦ 11K Β· πŸ“‹ 230 - 14% open Β· ⏱️ 01.03.2021): ``` - git clone https://github.com/huggingface/datasets + git clone https://github.com/jazzband/tablib ``` -- [PyPi](https://pypi.org/project/datasets) (πŸ“₯ 140K / month Β· πŸ“¦ 18 Β· ⏱️ 30.04.2021): +- [PyPi](https://pypi.org/project/tablib) (πŸ“₯ 800K / month Β· πŸ“¦ 2.4K Β· ⏱️ 05.12.2020): ``` - pip install datasets + pip install tablib + ``` +- [Conda](https://anaconda.org/conda-forge/tablib) (πŸ“₯ 62K Β· ⏱️ 05.12.2020): + ``` + conda install -c conda-forge tablib ```
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smart-open (πŸ₯ˆ30 Β· ⭐ 2K) - Utils for streaming large files (S3, HDFS, gzip, bz2...). MIT +
smart-open (πŸ₯ˆ30 Β· ⭐ 2.1K) - Utils for streaming large files (S3, HDFS, gzip, bz2...). MIT -- [GitHub](https://github.com/RaRe-Technologies/smart_open) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 280 Β· πŸ“‹ 310 - 18% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/RaRe-Technologies/smart_open) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 290 Β· πŸ“‹ 310 - 19% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/RaRe-Technologies/smart_open ``` -- [PyPi](https://pypi.org/project/smart-open) (πŸ“₯ 13M / month Β· πŸ“¦ 640 Β· ⏱️ 30.03.2021): +- [PyPi](https://pypi.org/project/smart-open) (πŸ“₯ 11M / month Β· πŸ“¦ 640 Β· ⏱️ 25.05.2021): ``` pip install smart-open ```
pandas-datareader (πŸ₯ˆ29 Β· ⭐ 2K) - Extract data from a wide range of Internet sources into.. BSD-3 -- [GitHub](https://github.com/pydata/pandas-datareader) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 520 Β· πŸ“¦ 9.3K Β· πŸ“‹ 460 - 18% open Β· ⏱️ 31.12.2020): +- [GitHub](https://github.com/pydata/pandas-datareader) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 520 Β· πŸ“¦ 9.7K Β· πŸ“‹ 460 - 18% open Β· ⏱️ 31.12.2020): ``` git clone https://github.com/pydata/pandas-datareader ``` -- [PyPi](https://pypi.org/project/pandas-datareader) (πŸ“₯ 230K / month Β· πŸ“¦ 1.4K Β· ⏱️ 10.07.2020): +- [PyPi](https://pypi.org/project/pandas-datareader) (πŸ“₯ 240K / month Β· πŸ“¦ 1.4K Β· ⏱️ 10.07.2020): ``` pip install pandas-datareader ``` @@ -5073,103 +5062,103 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
snorkel (πŸ₯‰28 Β· ⭐ 4.6K) - A system for quickly generating training data with weak supervision. Apache-2 -- [GitHub](https://github.com/snorkel-team/snorkel) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 740 Β· πŸ“₯ 680 Β· πŸ“¦ 84 Β· πŸ“‹ 950 - 2% open Β· ⏱️ 13.03.2021): +- [GitHub](https://github.com/snorkel-team/snorkel) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 740 Β· πŸ“₯ 680 Β· πŸ“¦ 88 Β· πŸ“‹ 950 - 2% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/snorkel-team/snorkel ``` -- [PyPi](https://pypi.org/project/snorkel) (πŸ“₯ 99K / month Β· πŸ“¦ 8 Β· ⏱️ 09.03.2021): +- [PyPi](https://pypi.org/project/snorkel) (πŸ“₯ 100K / month Β· πŸ“¦ 8 Β· ⏱️ 09.03.2021): ``` pip install snorkel ``` -- [Conda](https://anaconda.org/conda-forge/snorkel) (πŸ“₯ 18K Β· ⏱️ 30.04.2021): +- [Conda](https://anaconda.org/conda-forge/snorkel) (πŸ“₯ 19K Β· ⏱️ 30.04.2021): ``` conda install -c conda-forge snorkel ```
csvkit (πŸ₯‰28 Β· ⭐ 4.6K) - A suite of utilities for converting to and working with CSV, the king of.. MIT -- [GitHub](https://github.com/wireservice/csvkit) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 540 Β· πŸ“¦ 860 Β· πŸ“‹ 810 - 7% open Β· ⏱️ 10.03.2021): +- [GitHub](https://github.com/wireservice/csvkit) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 540 Β· πŸ“¦ 870 Β· πŸ“‹ 820 - 7% open Β· ⏱️ 10.03.2021): ``` git clone https://github.com/wireservice/csvkit ``` -- [PyPi](https://pypi.org/project/csvkit) (πŸ“₯ 49K / month Β· πŸ“¦ 700 Β· ⏱️ 03.03.2020): +- [PyPi](https://pypi.org/project/csvkit) (πŸ“₯ 47K / month Β· πŸ“¦ 700 Β· ⏱️ 03.03.2020): ``` pip install csvkit ``` -- [Conda](https://anaconda.org/conda-forge/csvkit) (πŸ“₯ 49K Β· ⏱️ 28.05.2019): +- [Conda](https://anaconda.org/conda-forge/csvkit) (πŸ“₯ 50K Β· ⏱️ 31.05.2021): ``` conda install -c conda-forge csvkit ```
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Intake (πŸ₯‰26 Β· ⭐ 560) - Intake is a lightweight package for finding, investigating, loading and.. BSD-2 +
Intake (πŸ₯‰26 Β· ⭐ 570) - Intake is a lightweight package for finding, investigating, loading and.. BSD-2 -- [GitHub](https://github.com/intake/intake) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 100 Β· πŸ“¦ 260 Β· πŸ“‹ 280 - 28% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/intake/intake) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 100 Β· πŸ“¦ 260 Β· πŸ“‹ 280 - 28% open Β· ⏱️ 19.05.2021): ``` git clone https://github.com/intake/intake ``` -- [PyPi](https://pypi.org/project/intake) (πŸ“₯ 11K / month Β· πŸ“¦ 74 Β· ⏱️ 16.03.2021): +- [PyPi](https://pypi.org/project/intake) (πŸ“₯ 7.9K / month Β· πŸ“¦ 74 Β· ⏱️ 16.03.2021): ``` pip install intake ``` -- [Conda](https://anaconda.org/conda-forge/intake) (πŸ“₯ 76K Β· ⏱️ 16.03.2021): +- [Conda](https://anaconda.org/conda-forge/intake) (πŸ“₯ 79K Β· ⏱️ 16.03.2021): ``` conda install -c conda-forge intake ```
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tabulator-py (πŸ₯‰26 Β· ⭐ 210) - Python library for reading and writing tabular data via streams. MIT +
tabulator-py (πŸ₯‰24 Β· ⭐ 210 Β· πŸ“‰) - Python library for reading and writing tabular data via streams. MIT -- [GitHub](https://github.com/frictionlessdata/tabulator-py) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 42 Β· πŸ“¦ 540 Β· πŸ“‹ 180 - 0% open Β· ⏱️ 22.03.2021): +- [GitHub](https://github.com/frictionlessdata/tabulator-py) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 42 Β· πŸ“¦ 550 Β· πŸ“‹ 180 - 0% open Β· ⏱️ 22.03.2021): ``` git clone https://github.com/frictionlessdata/tabulator-py ``` -- [PyPi](https://pypi.org/project/tabulator) (πŸ“₯ 240K / month Β· πŸ“¦ 100 Β· ⏱️ 21.03.2021): +- [PyPi](https://pypi.org/project/tabulator) (πŸ“₯ 220K / month Β· πŸ“¦ 100 Β· ⏱️ 21.03.2021): ``` pip install tabulator ``` -- [Conda](https://anaconda.org/conda-forge/tabulator-py) (πŸ“₯ 41K Β· ⏱️ 24.07.2018): +- [Conda](https://anaconda.org/conda-forge/tabulator-py) (πŸ“₯ 42K Β· ⏱️ 24.07.2018): ``` conda install -c conda-forge tabulator-py ```
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SDV (πŸ₯‰22 Β· ⭐ 410) - Synthetic Data Generation for tabular, relational and time series data. MIT +
SDV (πŸ₯‰22 Β· ⭐ 430) - Synthetic Data Generation for tabular, relational and time series data. MIT -- [GitHub](https://github.com/sdv-dev/SDV) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 73 Β· πŸ“¦ 22 Β· πŸ“‹ 250 - 29% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/sdv-dev/SDV) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 78 Β· πŸ“¦ 25 Β· πŸ“‹ 270 - 33% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/sdv-dev/SDV ``` -- [PyPi](https://pypi.org/project/sdv) (πŸ“₯ 5.1K / month Β· ⏱️ 29.04.2021): +- [PyPi](https://pypi.org/project/sdv) (πŸ“₯ 4.3K / month Β· ⏱️ 21.05.2021): ``` pip install sdv ```
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datatest (πŸ₯‰21 Β· ⭐ 240) - Tools for test driven data-wrangling and data validation. Apache-2 +
datatest (πŸ₯‰22 Β· ⭐ 240) - Tools for test driven data-wrangling and data validation. Apache-2 -- [GitHub](https://github.com/shawnbrown/datatest) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 12 Β· πŸ“¦ 33 Β· πŸ“‹ 51 - 17% open Β· ⏱️ 26.04.2021): +- [GitHub](https://github.com/shawnbrown/datatest) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 12 Β· πŸ“¦ 36 Β· πŸ“‹ 52 - 19% open Β· ⏱️ 26.04.2021): ``` git clone https://github.com/shawnbrown/datatest ``` -- [PyPi](https://pypi.org/project/datatest) (πŸ“₯ 5.7K / month Β· πŸ“¦ 2 Β· ⏱️ 04.01.2021): +- [PyPi](https://pypi.org/project/datatest) (πŸ“₯ 9.9K / month Β· πŸ“¦ 2 Β· ⏱️ 04.01.2021): ``` pip install datatest ```
Show 9 hidden projects... -- xmltodict (πŸ₯ˆ31 Β· ⭐ 4.4K Β· πŸ’€) - Python module that makes working with XML feel like you are.. MIT +- xmltodict (πŸ₯‡32 Β· ⭐ 4.4K Β· πŸ’€) - Python module that makes working with XML feel like you are.. MIT - PDFMiner (πŸ₯‰26 Β· ⭐ 4.6K Β· πŸ’€) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. MIT - textract (πŸ₯‰26 Β· ⭐ 3K Β· πŸ’€) - extract text from any document. no muss. no fuss. MIT -- Singer (πŸ₯‰25 Β· ⭐ 770) - Standard for moving data between databases, web APIs, files, queues,.. ❗️AGPL-3.0 -- Camelot (πŸ₯‰23 Β· ⭐ 3K Β· πŸ’€) - Camelot: PDF Table Extraction for Humans. MIT -- messytables (πŸ₯‰23 Β· ⭐ 360 Β· πŸ’€) - Tools for parsing messy tabular data. This is now superseded by.. MIT -- pyexcel-xlsx (πŸ₯‰22 Β· ⭐ 88) - A wrapper library to read, manipulate and write data in xlsx and.. BSD-3 -- openpyxl (πŸ₯‰22 Β· ⭐ 19) - A Python library to read/write Excel 2010 xlsx/xlsm files. MIT +- Singer (πŸ₯‰25 Β· ⭐ 790) - Standard for moving data between databases, web APIs, files, queues,.. ❗️AGPL-3.0 +- Camelot (πŸ₯‰23 Β· ⭐ 3.1K Β· πŸ’€) - Camelot: PDF Table Extraction for Humans. MIT +- messytables (πŸ₯‰22 Β· ⭐ 370 Β· πŸ’€) - Tools for parsing messy tabular data. This is now superseded by.. MIT +- pyexcel-xlsx (πŸ₯‰22 Β· ⭐ 88 Β· πŸ’€) - A wrapper library to read, manipulate and write data in xlsx.. BSD-3 - rows (πŸ₯‰21 Β· ⭐ 750) - A common, beautiful interface to tabular data, no matter the format. ❗️LGPL-3.0 +- openpyxl (πŸ₯‰21 Β· ⭐ 20) - A Python library to read/write Excel 2010 xlsx/xlsm files. MIT

@@ -5189,54 +5178,34 @@ _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· ⭐ 17K) - Asynchronous task queue/job queue based on distributed message passing. BSD-3 +
Celery (πŸ₯‡40 Β· ⭐ 17K Β· πŸ“ˆ) - 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“¦ 53K Β· πŸ“‹ 4.5K - 10% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/celery/celery) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 4K Β· πŸ“¦ 54K Β· πŸ“‹ 4.5K - 11% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/celery/celery ``` -- [PyPi](https://pypi.org/project/celery) (πŸ“₯ 5.1M / month Β· πŸ“¦ 28K Β· ⏱️ 02.05.2021): +- [PyPi](https://pypi.org/project/celery) (πŸ“₯ 5M / month Β· πŸ“¦ 28K Β· ⏱️ 23.05.2021): ``` pip install celery ``` -- [Conda](https://anaconda.org/conda-forge/celery) (πŸ“₯ 490K Β· ⏱️ 24.03.2021): +- [Conda](https://anaconda.org/conda-forge/celery) (πŸ“₯ 500K Β· ⏱️ 24.03.2021): ``` conda install -c conda-forge celery ```
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Airflow (πŸ₯‡36 Β· ⭐ 22K) - Platform to programmatically author, schedule, and monitor workflows. Apache-2 - -- [GitHub](https://github.com/apache/airflow) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 8.4K Β· πŸ“₯ 130K Β· πŸ“‹ 3.4K - 27% open Β· ⏱️ 13.05.2021): - - ``` - git clone https://github.com/apache/airflow - ``` -- [PyPi](https://pypi.org/project/apache-airflow) (πŸ“₯ 1.7M / month Β· πŸ“¦ 290 Β· ⏱️ 19.04.2021): - ``` - pip install apache-airflow - ``` -- [Conda](https://anaconda.org/conda-forge/airflow) (πŸ“₯ 320K Β· ⏱️ 20.04.2021): - ``` - conda install -c conda-forge airflow - ``` -- [Docker Hub](https://hub.docker.com/r/apache/airflow) (πŸ“₯ 21M Β· ⭐ 240 Β· ⏱️ 08.05.2021): - ``` - docker pull apache/airflow - ``` -
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joblib (πŸ₯‡36 Β· ⭐ 2.4K) - Computing with Python functions. BSD-3 +
joblib (πŸ₯‡35 Β· ⭐ 2.5K) - Computing with Python functions. BSD-3 -- [GitHub](https://github.com/joblib/joblib) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 290 Β· πŸ“¦ 100K Β· πŸ“‹ 650 - 44% open Β· ⏱️ 02.04.2021): +- [GitHub](https://github.com/joblib/joblib) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 290 Β· πŸ“¦ 110K Β· πŸ“‹ 650 - 44% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/joblib/joblib ``` -- [PyPi](https://pypi.org/project/joblib) (πŸ“₯ 25M / month Β· πŸ“¦ 6.6K Β· ⏱️ 09.02.2021): +- [PyPi](https://pypi.org/project/joblib) (πŸ“₯ 23M / month Β· πŸ“¦ 6.6K Β· ⏱️ 09.02.2021): ``` pip install joblib ``` -- [Conda](https://anaconda.org/conda-forge/joblib) (πŸ“₯ 4M Β· ⏱️ 09.02.2021): +- [Conda](https://anaconda.org/conda-forge/joblib) (πŸ“₯ 4.2M Β· ⏱️ 09.02.2021): ``` conda install -c conda-forge joblib ``` @@ -5248,198 +5217,218 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched ``` git clone https://github.com/spotify/luigi ``` -- [PyPi](https://pypi.org/project/luigi) (πŸ“₯ 860K / month Β· πŸ“¦ 680 Β· ⏱️ 23.09.2020): +- [PyPi](https://pypi.org/project/luigi) (πŸ“₯ 950K / month Β· πŸ“¦ 680 Β· ⏱️ 23.09.2020): ``` pip install luigi ``` -- [Conda](https://anaconda.org/anaconda/luigi) (πŸ“₯ 7.1K Β· ⏱️ 17.04.2021): +- [Conda](https://anaconda.org/anaconda/luigi) (πŸ“₯ 7.2K Β· ⏱️ 17.04.2021): ``` conda install -c anaconda luigi ```
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rq (πŸ₯ˆ33 Β· ⭐ 7.7K) - Simple job queues for Python. BSD-3 +
rq (πŸ₯‡34 Β· ⭐ 7.8K) - Simple job queues for Python. BSD-3 -- [GitHub](https://github.com/rq/rq) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.2K Β· πŸ“¦ 7.9K Β· πŸ“‹ 850 - 17% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/rq/rq) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.2K Β· πŸ“¦ 8.1K Β· πŸ“‹ 860 - 17% open Β· ⏱️ 30.05.2021): ``` git clone https://github.com/rq/rq ``` -- [PyPi](https://pypi.org/project/rq) (πŸ“₯ 490K / month Β· πŸ“¦ 3.3K Β· ⏱️ 29.11.2020): +- [PyPi](https://pypi.org/project/rq) (πŸ“₯ 480K / month Β· πŸ“¦ 3.3K Β· ⏱️ 17.05.2021): ``` pip install rq ``` -- [Conda](https://anaconda.org/conda-forge/rq) (πŸ“₯ 51K Β· ⏱️ 31.03.2021): +- [Conda](https://anaconda.org/conda-forge/rq) (πŸ“₯ 53K Β· ⏱️ 31.03.2021): ``` conda install -c conda-forge rq ```
+
Airflow (πŸ₯ˆ32 Β· ⭐ 22K Β· πŸ“‰) - Platform to programmatically author, schedule, and monitor.. Apache-2 + +- [GitHub](https://github.com/apache/airflow) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 8.5K Β· πŸ“₯ 130K Β· πŸ“‹ 3.5K - 26% open Β· ⏱️ 03.06.2021): + + ``` + git clone https://github.com/apache/airflow + ``` +- [PyPi](https://pypi.org/project/apache-airflow) (πŸ“₯ 1.7M / month Β· πŸ“¦ 290 Β· ⏱️ 21.05.2021): + ``` + pip install apache-airflow + ``` +- [Conda](https://anaconda.org/conda-forge/airflow) (πŸ“₯ 330K Β· ⏱️ 22.05.2021): + ``` + conda install -c conda-forge airflow + ``` +- [Docker Hub](https://hub.docker.com/r/apache/airflow) (πŸ“₯ 24M Β· ⭐ 250 Β· ⏱️ 01.06.2021): + ``` + docker pull apache/airflow + ``` +
Beam (πŸ₯ˆ32 Β· ⭐ 4.8K) - Unified programming model to define and execute data processing.. Apache-2 -- [GitHub](https://github.com/apache/beam) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 3K Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/apache/beam) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 3K Β· ⏱️ 02.06.2021): ``` git clone https://github.com/apache/beam ``` -- [PyPi](https://pypi.org/project/apache-beam) (πŸ“₯ 2.9M / month Β· πŸ“¦ 190 Β· ⏱️ 27.04.2021): +- [PyPi](https://pypi.org/project/apache-beam) (πŸ“₯ 2.9M / month Β· πŸ“¦ 190 Β· ⏱️ 27.05.2021): ``` pip install apache-beam ```
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Prefect (πŸ₯ˆ31 Β· ⭐ 6.3K) - The easiest way to automate your data. Apache-2 +
Prefect (πŸ₯ˆ31 Β· ⭐ 6.4K) - The easiest way to automate your data. Apache-2 -- [GitHub](https://github.com/PrefectHQ/prefect) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 580 Β· πŸ“¦ 330 Β· πŸ“‹ 1.7K - 18% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/PrefectHQ/prefect) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 600 Β· πŸ“¦ 340 Β· πŸ“‹ 1.8K - 18% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/PrefectHQ/prefect ``` -- [PyPi](https://pypi.org/project/prefect) (πŸ“₯ 93K / month Β· πŸ“¦ 2 Β· ⏱️ 12.05.2021): +- [PyPi](https://pypi.org/project/prefect) (πŸ“₯ 93K / month Β· πŸ“¦ 2 Β· ⏱️ 02.06.2021): ``` pip install prefect ``` -- [Conda](https://anaconda.org/conda-forge/prefect) (πŸ“₯ 95K Β· ⏱️ 12.05.2021): +- [Conda](https://anaconda.org/conda-forge/prefect) (πŸ“₯ 100K Β· ⏱️ 26.05.2021): ``` conda install -c conda-forge prefect ```
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dbt (πŸ₯ˆ30 Β· ⭐ 2.9K) - dbt (data build tool) enables data analysts and engineers to transform.. Apache-2 +
dbt (πŸ₯ˆ30 Β· ⭐ 3K) - dbt (data build tool) enables data analysts and engineers to transform.. Apache-2 -- [GitHub](https://github.com/fishtown-analytics/dbt) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 560 Β· πŸ“¦ 270 Β· πŸ“‹ 1.9K - 18% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/fishtown-analytics/dbt) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 580 Β· πŸ“¦ 280 Β· πŸ“‹ 1.9K - 17% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/fishtown-analytics/dbt ``` -- [PyPi](https://pypi.org/project/dbt) (πŸ“₯ 330K / month Β· πŸ“¦ 18 Β· ⏱️ 03.05.2021): +- [PyPi](https://pypi.org/project/dbt) (πŸ“₯ 310K / month Β· πŸ“¦ 18 Β· ⏱️ 03.05.2021): ``` pip install dbt ``` -- [Conda](https://anaconda.org/conda-forge/dbt) (πŸ“₯ 160K Β· ⏱️ 04.05.2021): +- [Conda](https://anaconda.org/conda-forge/dbt) (πŸ“₯ 170K Β· ⏱️ 04.05.2021): ``` conda install -c conda-forge dbt ```
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faust (πŸ₯ˆ29 Β· ⭐ 5.5K Β· πŸ’€) - Python Stream Processing. BSD-3 +
faust (πŸ₯ˆ29 Β· ⭐ 5.6K Β· πŸ’€) - Python Stream Processing. BSD-3 -- [GitHub](https://github.com/robinhood/faust) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 460 Β· πŸ“¦ 740 Β· πŸ“‹ 460 - 51% open Β· ⏱️ 09.10.2020): +- [GitHub](https://github.com/robinhood/faust) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 460 Β· πŸ“¦ 760 Β· πŸ“‹ 460 - 50% open Β· ⏱️ 09.10.2020): ``` git clone https://github.com/robinhood/faust ``` -- [PyPi](https://pypi.org/project/faust) (πŸ“₯ 780K / month Β· πŸ“¦ 28 Β· ⏱️ 25.02.2020): +- [PyPi](https://pypi.org/project/faust) (πŸ“₯ 820K / month Β· πŸ“¦ 28 Β· ⏱️ 25.02.2020): ``` pip install faust ```
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Kedro (πŸ₯ˆ29 Β· ⭐ 3.8K) - A Python framework for creating reproducible, maintainable and modular.. Apache-2 +
Kedro (πŸ₯ˆ29 Β· ⭐ 3.9K) - A Python framework for creating reproducible, maintainable and modular.. Apache-2 -- [GitHub](https://github.com/quantumblacklabs/kedro) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 440 Β· πŸ“¦ 470 Β· πŸ“‹ 480 - 11% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/quantumblacklabs/kedro) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 460 Β· πŸ“¦ 480 Β· πŸ“‹ 480 - 8% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/quantumblacklabs/kedro ``` -- [PyPi](https://pypi.org/project/kedro) (πŸ“₯ 140K / month Β· πŸ“¦ 16 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/kedro) (πŸ“₯ 180K / month Β· πŸ“¦ 16 Β· ⏱️ 21.04.2021): ``` pip install kedro ```
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mrjob (πŸ₯ˆ29 Β· ⭐ 2.5K) - Run MapReduce jobs on Hadoop or Amazon Web Services. Apache-2 +
mrjob (πŸ₯ˆ29 Β· ⭐ 2.5K Β· πŸ’€) - Run MapReduce jobs on Hadoop or Amazon Web Services. Apache-2 -- [GitHub](https://github.com/Yelp/mrjob) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 590 Β· πŸ“¦ 730 Β· πŸ“‹ 1.3K - 15% open Β· ⏱️ 16.11.2020): +- [GitHub](https://github.com/Yelp/mrjob) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 590 Β· πŸ“¦ 750 Β· πŸ“‹ 1.3K - 15% open Β· ⏱️ 16.11.2020): ``` git clone https://github.com/Yelp/mrjob ``` -- [PyPi](https://pypi.org/project/mrjob) (πŸ“₯ 96K / month Β· πŸ“¦ 110 Β· ⏱️ 17.09.2020): +- [PyPi](https://pypi.org/project/mrjob) (πŸ“₯ 100K / month Β· πŸ“¦ 110 Β· ⏱️ 17.09.2020): ``` pip install mrjob ``` -- [Conda](https://anaconda.org/conda-forge/mrjob) (πŸ“₯ 350K Β· ⏱️ 24.12.2020): +- [Conda](https://anaconda.org/conda-forge/mrjob) (πŸ“₯ 360K Β· ⏱️ 24.12.2020): ``` conda install -c conda-forge mrjob ```
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Dagster (πŸ₯ˆ28 Β· ⭐ 3.2K) - A data orchestrator for machine learning, analytics, and ETL. Apache-2 +
Dagster (πŸ₯ˆ28 Β· ⭐ 3.4K) - A data orchestrator for machine learning, analytics, and ETL. Apache-2 -- [GitHub](https://github.com/dagster-io/dagster) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“¦ 170 Β· πŸ“‹ 2.9K - 20% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/dagster-io/dagster) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“¦ 180 Β· πŸ“‹ 3K - 20% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/dagster-io/dagster ``` -- [PyPi](https://pypi.org/project/dagster) (πŸ“₯ 52K / month Β· πŸ“¦ 4 Β· ⏱️ 07.05.2021): +- [PyPi](https://pypi.org/project/dagster) (πŸ“₯ 63K / month Β· πŸ“¦ 4 Β· ⏱️ 27.05.2021): ``` pip install dagster ``` -- [Conda](https://anaconda.org/conda-forge/dagster) (πŸ“₯ 240K Β· ⏱️ 13.05.2021): +- [Conda](https://anaconda.org/conda-forge/dagster) (πŸ“₯ 270K Β· ⏱️ 24.05.2021): ``` conda install -c conda-forge dagster ```
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PyFunctional (πŸ₯ˆ27 Β· ⭐ 1.9K) - Python library for creating data pipelines with chain functional.. MIT +
petl (πŸ₯ˆ27 Β· ⭐ 890) - Python Extract Transform and Load Tables of Data. MIT -- [GitHub](https://github.com/EntilZha/PyFunctional) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 99 Β· πŸ“¦ 290 Β· πŸ“‹ 120 - 2% open Β· ⏱️ 03.03.2021): +- [GitHub](https://github.com/petl-developers/petl) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 150 Β· πŸ“¦ 410 Β· πŸ“‹ 420 - 16% open Β· ⏱️ 17.04.2021): ``` - git clone https://github.com/EntilZha/PyFunctional + git clone https://github.com/petl-developers/petl ``` -- [PyPi](https://pypi.org/project/pyfunctional) (πŸ“₯ 68K / month Β· ⏱️ 12.01.2021): +- [PyPi](https://pypi.org/project/petl) (πŸ“₯ 33K / month Β· πŸ“¦ 110 Β· ⏱️ 27.03.2021): ``` - pip install pyfunctional + pip install petl + ``` +- [Conda](https://anaconda.org/conda-forge/petl) (πŸ“₯ 25K Β· ⏱️ 05.04.2021): + ``` + conda install -c conda-forge petl ```
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petl (πŸ₯ˆ27 Β· ⭐ 880) - Python Extract Transform and Load Tables of Data. MIT +
Hub (πŸ₯ˆ26 Β· ⭐ 3.3K) - Fastest unstructured dataset management for TensorFlow/PyTorch... MPL-2.0 -- [GitHub](https://github.com/petl-developers/petl) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 150 Β· πŸ“¦ 400 Β· πŸ“‹ 410 - 16% open Β· ⏱️ 17.04.2021): +- [GitHub](https://github.com/activeloopai/Hub) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 260 Β· πŸ“¦ 130 Β· πŸ“‹ 290 - 17% open Β· ⏱️ 01.06.2021): ``` - git clone https://github.com/petl-developers/petl - ``` -- [PyPi](https://pypi.org/project/petl) (πŸ“₯ 34K / month Β· πŸ“¦ 110 Β· ⏱️ 27.03.2021): - ``` - pip install petl + git clone https://github.com/activeloopai/Hub ``` -- [Conda](https://anaconda.org/conda-forge/petl) (πŸ“₯ 24K Β· ⏱️ 05.04.2021): +- [PyPi](https://pypi.org/project/hub) (πŸ“₯ 2K / month Β· πŸ“¦ 52 Β· ⏱️ 29.05.2021): ``` - conda install -c conda-forge petl + pip install hub ```
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Hub (πŸ₯ˆ26 Β· ⭐ 3.2K) - Fastest unstructured dataset management for TensorFlow/PyTorch... MPL-2.0 +
PyFunctional (πŸ₯ˆ26 Β· ⭐ 1.9K) - Python library for creating data pipelines with chain functional.. MIT -- [GitHub](https://github.com/activeloopai/Hub) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 250 Β· πŸ“¦ 120 Β· πŸ“‹ 260 - 9% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/EntilZha/PyFunctional) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 100 Β· πŸ“¦ 290 Β· πŸ“‹ 120 - 2% open Β· ⏱️ 03.03.2021): ``` - git clone https://github.com/activeloopai/Hub + git clone https://github.com/EntilZha/PyFunctional ``` -- [PyPi](https://pypi.org/project/hub) (πŸ“₯ 2.6K / month Β· πŸ“¦ 52 Β· ⏱️ 29.04.2021): +- [PyPi](https://pypi.org/project/pyfunctional) (πŸ“₯ 81K / month Β· ⏱️ 12.01.2021): ``` - pip install hub + pip install pyfunctional ```
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TFX (πŸ₯ˆ26 Β· ⭐ 1.4K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 +
TFX (πŸ₯ˆ26 Β· ⭐ 1.5K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 430 Β· πŸ“‹ 600 - 39% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 450 Β· πŸ“‹ 640 - 40% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 220K / month Β· πŸ“¦ 4 Β· ⏱️ 07.05.2021): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 220K / month Β· πŸ“¦ 4 Β· ⏱️ 26.05.2021): ``` pip install tfx ```
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Great Expectations (πŸ₯‰25 Β· ⭐ 4.4K) - Always know what to expect from your data. Apache-2 +
Great Expectations (πŸ₯‰25 Β· ⭐ 4.5K) - Always know what to expect from your data. Apache-2 -- [GitHub](https://github.com/great-expectations/great_expectations) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 540 Β· πŸ“‹ 870 - 25% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/great-expectations/great_expectations) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 560 Β· πŸ“‹ 890 - 14% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/great-expectations/great_expectations ``` -- [PyPi](https://pypi.org/project/great_expectations) (πŸ“₯ 830K / month Β· πŸ“¦ 6 Β· ⏱️ 23.04.2021): +- [PyPi](https://pypi.org/project/great_expectations) (πŸ“₯ 970K / month Β· πŸ“¦ 6 Β· ⏱️ 23.04.2021): ``` pip install great_expectations ```
bonobo (πŸ₯‰24 Β· ⭐ 1.4K) - Extract Transform Load for Python 3.5+. Apache-2 -- [GitHub](https://github.com/python-bonobo/bonobo) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“¦ 110 Β· πŸ“‹ 180 - 38% open Β· ⏱️ 10.03.2021): +- [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/python-bonobo/bonobo @@ -5449,62 +5438,62 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched pip install bonobo ```
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pysparkling (πŸ₯‰24 Β· ⭐ 230) - A pure Python implementation of Apache Spark's RDD and DStream.. MIT - -- [GitHub](https://github.com/svenkreiss/pysparkling) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 45 Β· πŸ“¦ 62 Β· πŸ“‹ 28 - 25% open Β· ⏱️ 22.02.2021): - - ``` - git clone https://github.com/svenkreiss/pysparkling - ``` -- [PyPi](https://pypi.org/project/pysparkling) (πŸ“₯ 13K / month Β· πŸ“¦ 14 Β· ⏱️ 10.01.2021): - ``` - pip install pysparkling - ``` -
streamparse (πŸ₯‰23 Β· ⭐ 1.4K) - Run Python in Apache Storm topologies. Pythonic API, CLI.. Apache-2 -- [GitHub](https://github.com/Parsely/streamparse) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 220 Β· πŸ“¦ 48 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 18.12.2020): +- [GitHub](https://github.com/Parsely/streamparse) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 220 Β· πŸ“¦ 48 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 18.12.2020): ``` git clone https://github.com/Parsely/streamparse ``` -- [PyPi](https://pypi.org/project/streamparse) (πŸ“₯ 2.9K / month Β· πŸ“¦ 52 Β· ⏱️ 07.10.2020): +- [PyPi](https://pypi.org/project/streamparse) (πŸ“₯ 4K / month Β· πŸ“¦ 52 Β· ⏱️ 07.10.2020): ``` pip install streamparse ```
Pypeline (πŸ₯‰23 Β· ⭐ 1.2K) - Concurrent data pipelines in Python . MIT -- [GitHub](https://github.com/cgarciae/pypeln) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 70 Β· πŸ“‹ 50 - 28% open Β· ⏱️ 13.04.2021): +- [GitHub](https://github.com/cgarciae/pypeln) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 71 Β· πŸ“‹ 50 - 28% open Β· ⏱️ 13.04.2021): ``` git clone https://github.com/cgarciae/pypeln ``` -- [PyPi](https://pypi.org/project/pypeln) (πŸ“₯ 31K / month Β· πŸ“¦ 10 Β· ⏱️ 05.01.2021): +- [PyPi](https://pypi.org/project/pypeln) (πŸ“₯ 23K / month Β· πŸ“¦ 10 Β· ⏱️ 05.01.2021): ``` pip install pypeln ```
Optimus (πŸ₯‰23 Β· ⭐ 1K) - Agile Data Preparation Workflows madeeasy with pandas, dask,.. Apache-2 -- [GitHub](https://github.com/ironmussa/Optimus) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 190 Β· πŸ“¦ 14 Β· πŸ“‹ 310 - 44% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/ironmussa/Optimus) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 190 Β· πŸ“¦ 14 Β· πŸ“‹ 310 - 44% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/ironmussa/Optimus ``` -- [PyPi](https://pypi.org/project/optimuspyspark) (πŸ“₯ 7.8K / month Β· ⏱️ 30.05.2019): +- [PyPi](https://pypi.org/project/optimuspyspark) (πŸ“₯ 7K / month Β· ⏱️ 30.05.2019): ``` pip install optimuspyspark ```
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ploomber (πŸ₯‰21 Β· ⭐ 280) - Lean Data Science workflows: develop and test locally. Deploy to.. Apache-2 +
pysparkling (πŸ₯‰23 Β· ⭐ 240) - A pure Python implementation of Apache Spark's RDD and DStream.. MIT + +- [GitHub](https://github.com/svenkreiss/pysparkling) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 45 Β· πŸ“¦ 64 Β· πŸ“‹ 28 - 25% open Β· ⏱️ 22.02.2021): + + ``` + git clone https://github.com/svenkreiss/pysparkling + ``` +- [PyPi](https://pypi.org/project/pysparkling) (πŸ“₯ 13K / month Β· πŸ“¦ 14 Β· ⏱️ 10.01.2021): + ``` + pip install pysparkling + ``` +
+
ploomber (πŸ₯‰21 Β· ⭐ 300) - Lean Data Science workflows: develop and test locally. Deploy to.. Apache-2 -- [GitHub](https://github.com/ploomber/ploomber) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 4 Β· πŸ“¦ 13 Β· πŸ“‹ 290 - 14% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/ploomber/ploomber) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 4 Β· πŸ“¦ 13 Β· πŸ“‹ 300 - 15% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/ploomber/ploomber ``` -- [PyPi](https://pypi.org/project/ploomber) (πŸ“₯ 2.7K / month Β· ⏱️ 06.05.2021): +- [PyPi](https://pypi.org/project/ploomber) (πŸ“₯ 2.8K / month Β· ⏱️ 31.05.2021): ``` pip install ploomber ``` @@ -5516,7 +5505,7 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched ``` git clone https://github.com/douban/dpark ``` -- [PyPi](https://pypi.org/project/dpark) (πŸ“₯ 97 / month Β· πŸ“¦ 1 Β· ⏱️ 27.07.2018): +- [PyPi](https://pypi.org/project/dpark) (πŸ“₯ 29 / month Β· πŸ“¦ 1 Β· ⏱️ 27.07.2018): ``` pip install dpark ``` @@ -5528,23 +5517,11 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched ``` git clone https://github.com/closeio/tasktiger ``` -- [PyPi](https://pypi.org/project/tasktiger) (πŸ“₯ 790 / month Β· πŸ“¦ 18 Β· ⏱️ 16.04.2021): +- [PyPi](https://pypi.org/project/tasktiger) (πŸ“₯ 700 / month Β· πŸ“¦ 18 Β· ⏱️ 16.04.2021): ``` pip install tasktiger ```
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Databolt Flow (πŸ₯‰20 Β· ⭐ 910) - 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“‹ 21 - 38% open Β· ⏱️ 28.04.2021): - - ``` - git clone https://github.com/d6t/d6tflow - ``` -- [PyPi](https://pypi.org/project/d6tflow) (πŸ“₯ 210 / month Β· ⏱️ 17.03.2021): - ``` - pip install d6tflow - ``` -
mrq (πŸ₯‰20 Β· ⭐ 840) - 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“¦ 23 Β· πŸ“‹ 180 - 33% open Β· ⏱️ 13.12.2020): @@ -5552,87 +5529,99 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched ``` git clone https://github.com/pricingassistant/mrq ``` -- [PyPi](https://pypi.org/project/mrq) (πŸ“₯ 550 / month Β· πŸ“¦ 12 Β· ⏱️ 31.08.2018): +- [PyPi](https://pypi.org/project/mrq) (πŸ“₯ 320 / month Β· πŸ“¦ 12 Β· ⏱️ 31.08.2018): ``` pip install mrq ```
pdpipe (πŸ₯‰20 Β· ⭐ 610) - Easy pipelines for pandas DataFrames. MIT -- [GitHub](https://github.com/pdpipe/pdpipe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 27 Β· πŸ“¦ 29 Β· πŸ“‹ 21 - 28% open Β· ⏱️ 23.02.2021): +- [GitHub](https://github.com/pdpipe/pdpipe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 27 Β· πŸ“¦ 30 Β· πŸ“‹ 21 - 28% open Β· ⏱️ 23.02.2021): ``` git clone https://github.com/pdpipe/pdpipe ``` -- [PyPi](https://pypi.org/project/pdpipe) (πŸ“₯ 2K / month Β· ⏱️ 09.11.2020): +- [PyPi](https://pypi.org/project/pdpipe) (πŸ“₯ 1.8K / month Β· ⏱️ 09.11.2020): ``` pip install pdpipe ```
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Mara Pipelines (πŸ₯‰19 Β· ⭐ 1.7K) - A lightweight opinionated ETL framework, halfway between plain.. MIT +
Databolt Flow (πŸ₯‰19 Β· ⭐ 910) - Python library for building highly effective data science workflows. MIT -- [GitHub](https://github.com/mara/mara-pipelines) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 80 Β· πŸ“¦ 7 Β· πŸ“‹ 23 - 47% open Β· ⏱️ 08.03.2021): +- [GitHub](https://github.com/d6t/d6tflow) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 67 Β· πŸ“¦ 13 Β· πŸ“‹ 21 - 38% open Β· ⏱️ 28.04.2021): ``` - git clone https://github.com/mara/mara-pipelines + git clone https://github.com/d6t/d6tflow ``` -- [PyPi](https://pypi.org/project/mara-pipelines) (πŸ“₯ 150 / month Β· ⏱️ 23.01.2021): +- [PyPi](https://pypi.org/project/d6tflow) (πŸ“₯ 150 / month Β· ⏱️ 17.03.2021): ``` - pip install mara-pipelines + pip install d6tflow ```
flupy (πŸ₯‰19 Β· ⭐ 160) - Fluent data pipelines for python and your shell. MIT -- [GitHub](https://github.com/olirice/flupy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 9 Β· ⏱️ 09.03.2021): +- [GitHub](https://github.com/olirice/flupy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 9 Β· ⏱️ 26.05.2021): ``` git clone https://github.com/olirice/flupy ``` -- [PyPi](https://pypi.org/project/flupy) (πŸ“₯ 37K / month Β· ⏱️ 06.01.2021): +- [PyPi](https://pypi.org/project/flupy) (πŸ“₯ 55K / month Β· ⏱️ 26.05.2021): ``` pip install flupy ```
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riko (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - A Python stream processing engine modeled after Yahoo! Pipes. MIT +
Mara Pipelines (πŸ₯‰18 Β· ⭐ 1.7K) - A lightweight opinionated ETL framework, halfway between plain.. MIT -- [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/mara/mara-pipelines) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 80 Β· πŸ“¦ 7 Β· πŸ“‹ 23 - 47% open Β· ⏱️ 08.03.2021): ``` - git clone https://github.com/nerevu/riko + git clone https://github.com/mara/mara-pipelines ``` -- [PyPi](https://pypi.org/project/riko) (πŸ“₯ 160 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2020): +- [PyPi](https://pypi.org/project/mara-pipelines) (πŸ“₯ 180 / month Β· ⏱️ 23.01.2021): ``` - pip install riko + pip install mara-pipelines ```
BatchFlow (πŸ₯‰18 Β· ⭐ 160) - BatchFlow helps you conveniently work with random or sequential.. Apache-2 -- [GitHub](https://github.com/analysiscenter/batchflow) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 36 Β· πŸ“‹ 110 - 41% open Β· ⏱️ 22.04.2021): +- [GitHub](https://github.com/analysiscenter/batchflow) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 36 Β· πŸ“‹ 110 - 41% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/analysiscenter/batchflow ``` -- [PyPi](https://pypi.org/project/batchflow) (πŸ“₯ 77 / month Β· ⏱️ 05.03.2021): +- [PyPi](https://pypi.org/project/batchflow) (πŸ“₯ 62 / month Β· ⏱️ 05.03.2021): ``` pip install batchflow ```
spark-deep-learning (πŸ₯‰17 Β· ⭐ 1.8K) - Deep Learning Pipelines for Apache Spark. Apache-2 -- [GitHub](https://github.com/databricks/spark-deep-learning) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 440 Β· πŸ“¦ 17 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 20.01.2021): +- [GitHub](https://github.com/databricks/spark-deep-learning) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 450 Β· πŸ“¦ 17 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 20.01.2021): ``` git clone https://github.com/databricks/spark-deep-learning ```
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zenml (πŸ₯‰17 Β· ⭐ 1.1K Β· 🐣) - ZenML : MLOps framework to create reproducible ML pipelines for.. Apache-2 +
riko (πŸ₯‰17 Β· ⭐ 1.6K Β· πŸ’€) - A Python stream processing engine modeled after Yahoo! Pipes. MIT + +- [GitHub](https://github.com/nerevu/riko) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 72 Β· πŸ“‹ 30 - 73% open Β· ⏱️ 14.08.2020): + + ``` + git clone https://github.com/nerevu/riko + ``` +- [PyPi](https://pypi.org/project/riko) (πŸ“₯ 80 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2020): + ``` + pip install riko + ``` +
+
zenml (πŸ₯‰17 Β· ⭐ 1.2K) - ZenML : MLOps framework to create reproducible ML pipelines for.. Apache-2 -- [GitHub](https://github.com/maiot-io/zenml) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 59 Β· πŸ“¦ 1 Β· πŸ“‹ 45 - 35% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/maiot-io/zenml) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 60 Β· πŸ“¦ 1 Β· πŸ“‹ 46 - 34% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/maiot-io/zenml ``` -- [PyPi](https://pypi.org/project/zenml) (πŸ“₯ 450 / month Β· ⏱️ 22.04.2021): +- [PyPi](https://pypi.org/project/zenml) (πŸ“₯ 410 / month Β· ⏱️ 17.05.2021): ``` pip install zenml ``` @@ -5640,7 +5629,7 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
Show 2 hidden projects... - Botflow (πŸ₯‰16 Β· ⭐ 1.2K Β· πŸ’€) - Python Fast Dataflow programming framework for Data pipeline work(.. BSD-3 -- bodywork-core (πŸ₯‰11 Β· ⭐ 210 Β· 🐣) - MLOps tool for deploying machine learning projects to.. ❗️AGPL-3.0 +- bodywork-core (πŸ₯‰11 Β· ⭐ 220) - MLOps tool for deploying machine learning projects to.. ❗️AGPL-3.0

@@ -5650,138 +5639,138 @@ _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· ⭐ 8.3K) - Parallel computing with task scheduling. BSD-3 +
dask (πŸ₯‡34 Β· ⭐ 8.4K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 1.3K Β· πŸ“¦ 27K Β· πŸ“‹ 3.8K - 19% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 1.3K Β· πŸ“¦ 28K Β· πŸ“‹ 3.8K - 20% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 4.2M / month Β· πŸ“¦ 3.9K Β· ⏱️ 23.04.2021): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 3.9M / month Β· πŸ“¦ 3.9K Β· ⏱️ 28.05.2021): ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 3.4M Β· ⏱️ 24.04.2021): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 3.5M Β· ⏱️ 29.05.2021): ``` conda install -c conda-forge dask ```
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Ray (πŸ₯‡32 Β· ⭐ 16K) - An open source framework that provides a simple, universal API for.. Apache-2 +
Ray (πŸ₯‡33 Β· ⭐ 16K) - An open source framework that provides a simple, universal API for.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.6K Β· πŸ“¦ 2.1K Β· πŸ“‹ 6.8K - 23% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 2.7K Β· πŸ“¦ 2.2K Β· πŸ“‹ 7K - 23% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 370K / month Β· πŸ“¦ 160 Β· ⏱️ 22.04.2021): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 360K / month Β· πŸ“¦ 160 Β· ⏱️ 22.04.2021): ``` pip install ray ```
dask.distributed (πŸ₯‡31 Β· ⭐ 1.2K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 520 Β· πŸ“¦ 18K Β· πŸ“‹ 2.1K - 36% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 530 Β· πŸ“¦ 19K Β· πŸ“‹ 2.2K - 37% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 2.9M / month Β· πŸ“¦ 1.8K Β· ⏱️ 23.04.2021): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 2.7M / month Β· πŸ“¦ 1.8K Β· ⏱️ 28.05.2021): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 4.3M Β· ⏱️ 23.04.2021): +- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 4.4M Β· ⏱️ 28.05.2021): ``` conda install -c conda-forge distributed ```
horovod (πŸ₯ˆ29 Β· ⭐ 11K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 -- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.8K Β· πŸ“¦ 360 Β· πŸ“‹ 1.8K - 13% open Β· ⏱️ 08.05.2021): +- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.8K Β· πŸ“¦ 370 Β· πŸ“‹ 1.8K - 13% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 46K / month Β· πŸ“¦ 40 Β· ⏱️ 15.02.2021): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 41K / month Β· πŸ“¦ 40 Β· ⏱️ 18.05.2021): ``` pip install horovod ```
Mesh (πŸ₯ˆ28 Β· ⭐ 1K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 -- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 160 Β· πŸ“¦ 530 Β· πŸ“‹ 92 - 85% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 170 Β· πŸ“¦ 540 Β· πŸ“‹ 92 - 85% open Β· ⏱️ 26.05.2021): ``` git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 470K / month Β· πŸ“¦ 56 Β· ⏱️ 24.03.2021): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 610K / month Β· πŸ“¦ 56 Β· ⏱️ 24.03.2021): ``` pip install mesh-tensorflow ```
ipyparallel (πŸ₯ˆ26 Β· ⭐ 2K) - Interactive Parallel Computing in Python. BSD-3 -- [GitHub](https://github.com/ipython/ipyparallel) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 770 Β· πŸ“¦ 1.5K Β· πŸ“‹ 260 - 57% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/ipython/ipyparallel) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 790 Β· πŸ“¦ 1.6K Β· πŸ“‹ 310 - 48% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/ipython/ipyparallel ``` -- [PyPi](https://pypi.org/project/ipyparallel) (πŸ“₯ 110K / month Β· πŸ“¦ 490 Β· ⏱️ 05.05.2020): +- [PyPi](https://pypi.org/project/ipyparallel) (πŸ“₯ 54K / month Β· πŸ“¦ 490 Β· ⏱️ 05.05.2020): ``` pip install ipyparallel ``` -- [Conda](https://anaconda.org/conda-forge/ipyparallel) (πŸ“₯ 440K Β· ⏱️ 22.01.2021): +- [Conda](https://anaconda.org/conda-forge/ipyparallel) (πŸ“₯ 450K Β· ⏱️ 22.01.2021): ``` conda install -c conda-forge ipyparallel ```
Elephas (πŸ₯ˆ26 Β· ⭐ 1.5K) - Distributed Deep learning with Keras & Spark. MIT keras -- [GitHub](https://github.com/maxpumperla/elephas) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 290 Β· πŸ“¦ 41 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 21.04.2021): +- [GitHub](https://github.com/maxpumperla/elephas) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 290 Β· πŸ“¦ 42 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 21.04.2021): ``` git clone https://github.com/maxpumperla/elephas ``` -- [PyPi](https://pypi.org/project/elephas) (πŸ“₯ 16K / month Β· πŸ“¦ 3 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/elephas) (πŸ“₯ 15K / month Β· πŸ“¦ 3 Β· ⏱️ 21.04.2021): ``` pip install elephas ```
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petastorm (πŸ₯ˆ26 Β· ⭐ 1.1K) - Petastorm library enables single machine or distributed training.. Apache-2 +
petastorm (πŸ₯ˆ26 Β· ⭐ 1.2K) - Petastorm library enables single machine or distributed training.. Apache-2 -- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 200 Β· πŸ“₯ 290 Β· πŸ“¦ 30 Β· πŸ“‹ 250 - 54% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 200 Β· πŸ“₯ 290 Β· πŸ“¦ 31 Β· πŸ“‹ 260 - 53% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 100K / month Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 110K / month Β· ⏱️ 02.06.2021): ``` pip install petastorm ```
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DeepSpeed (πŸ₯ˆ25 Β· ⭐ 4.9K) - DeepSpeed is a deep learning optimization library that makes.. MIT +
DeepSpeed (πŸ₯ˆ25 Β· ⭐ 5K) - DeepSpeed is a deep learning optimization library that makes.. MIT -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 470 Β· πŸ“¦ 33 Β· πŸ“‹ 480 - 48% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 480 Β· πŸ“¦ 40 Β· πŸ“‹ 490 - 47% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 35K / month Β· ⏱️ 30.04.2021): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 29K / month Β· ⏱️ 30.04.2021): ``` pip install deepspeed ``` -- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (πŸ“₯ 8.3K Β· ⭐ 2 Β· ⏱️ 05.05.2021): +- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (πŸ“₯ 8.5K Β· ⭐ 2 Β· ⏱️ 05.05.2021): ``` docker pull deepspeed/deepspeed ```
BigDL (πŸ₯ˆ25 Β· ⭐ 3.7K) - BigDL: Distributed Deep Learning Framework for Apache Spark. Apache-2 -- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 910 Β· πŸ“¦ 25 Β· πŸ“‹ 910 - 20% open Β· ⏱️ 21.04.2021): +- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 910 Β· πŸ“¦ 26 Β· πŸ“‹ 910 - 20% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 1.7K / month Β· πŸ“¦ 6 Β· ⏱️ 07.04.2021): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 2.6K / month Β· πŸ“¦ 6 Β· ⏱️ 07.04.2021): ``` pip install bigdl ``` @@ -5796,103 +5785,103 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
TensorFlowOnSpark (πŸ₯ˆ25 Β· ⭐ 3.7K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 -- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 940 Β· πŸ“‹ 350 - 3% open Β· ⏱️ 29.03.2021): +- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 940 Β· πŸ“‹ 350 - 3% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 150K / month Β· πŸ“¦ 5 Β· ⏱️ 19.03.2021): +- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 110K / month Β· πŸ“¦ 5 Β· ⏱️ 25.05.2021): ``` pip install tensorflowonspark ```
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dask-ml (πŸ₯ˆ25 Β· ⭐ 710) - Scalable Machine Learning with Dask. BSD-3 +
mpi4py (πŸ₯ˆ25 Β· ⭐ 420) - Python bindings for MPI. BSD-3 -- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 200 Β· πŸ“¦ 390 Β· πŸ“‹ 420 - 47% open Β· ⏱️ 17.04.2021): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 66 Β· πŸ“₯ 1.1K Β· πŸ“‹ 28 - 25% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/dask/dask-ml + git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 64K / month Β· πŸ“¦ 42 Β· ⏱️ 03.05.2021): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 220K / month Β· πŸ“¦ 750 Β· ⏱️ 04.11.2019): ``` - pip install dask-ml + pip install mpi4py ``` -- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 210K Β· ⏱️ 03.05.2021): +- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 650K Β· ⏱️ 29.04.2021): ``` - conda install -c conda-forge dask-ml + conda install -c conda-forge mpi4py ```
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mpi4py (πŸ₯ˆ25 Β· ⭐ 410) - Python bindings for MPI. BSD-3 +
dask-ml (πŸ₯‰24 Β· ⭐ 720) - Scalable Machine Learning with Dask. BSD-3 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 66 Β· πŸ“₯ 1K Β· πŸ“‹ 27 - 25% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 200 Β· πŸ“¦ 400 Β· πŸ“‹ 420 - 47% open Β· ⏱️ 23.05.2021): ``` - git clone https://github.com/mpi4py/mpi4py + git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 300K / month Β· πŸ“¦ 750 Β· ⏱️ 04.11.2019): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 52K / month Β· πŸ“¦ 42 Β· ⏱️ 03.05.2021): ``` - pip install mpi4py + pip install dask-ml ``` -- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 630K Β· ⏱️ 29.04.2021): +- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 210K Β· ⏱️ 03.05.2021): ``` - conda install -c conda-forge mpi4py + conda install -c conda-forge dask-ml ```
analytics-zoo (πŸ₯‰23 Β· ⭐ 2.3K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 -- [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 660 Β· πŸ“¦ 2 Β· πŸ“‹ 1.1K - 44% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 670 Β· πŸ“¦ 2 Β· πŸ“‹ 1.2K - 44% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 1.2K / month Β· ⏱️ 12.05.2021): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 1.7K / month Β· ⏱️ 03.06.2021): ``` pip install analytics-zoo ```
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FairScale (πŸ₯‰23 Β· ⭐ 1K) - PyTorch extensions for high performance and large scale training. BSD-3 +
FairScale (πŸ₯‰23 Β· ⭐ 1.1K) - PyTorch extensions for high performance and large scale training. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 77 Β· πŸ“¦ 18 Β· πŸ“‹ 170 - 24% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 81 Β· πŸ“¦ 25 Β· πŸ“‹ 180 - 22% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 12K / month Β· ⏱️ 26.04.2021): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 9.4K / month Β· ⏱️ 18.05.2021): ``` pip install fairscale ```
MMLSpark (πŸ₯‰22 Β· ⭐ 2.3K) - Microsoft Machine Learning for Apache Spark. MIT -- [GitHub](https://github.com/Azure/mmlspark) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 500 Β· πŸ“‹ 430 - 46% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/Azure/mmlspark) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 500 Β· πŸ“‹ 440 - 46% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/Azure/mmlspark ``` -- [PyPi](https://pypi.org/project/mmlspark) (πŸ“₯ 31K / month Β· ⏱️ 18.03.2020): +- [PyPi](https://pypi.org/project/mmlspark) (πŸ“₯ 33K / month Β· ⏱️ 18.03.2020): ``` pip install mmlspark ```
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Submit it (πŸ₯‰21 Β· ⭐ 370) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT +
Submit it (πŸ₯‰21 Β· ⭐ 390) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 24 Β· πŸ“¦ 130 Β· πŸ“‹ 39 - 41% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 28 Β· πŸ“¦ 150 Β· πŸ“‹ 39 - 41% open Β· ⏱️ 12.05.2021): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 4.6K / month Β· ⏱️ 08.04.2021): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 4.7K / month Β· ⏱️ 08.04.2021): ``` pip install submitit ``` -- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 2.6K Β· ⏱️ 10.02.2021): +- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 2.8K Β· ⏱️ 10.02.2021): ``` conda install -c conda-forge submitit ```
BytePS (πŸ₯‰19 Β· ⭐ 2.8K) - A high performance and generic framework for distributed DNN training. Apache-2 -- [GitHub](https://github.com/bytedance/byteps) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 380 Β· πŸ“‹ 240 - 37% open Β· ⏱️ 21.04.2021): +- [GitHub](https://github.com/bytedance/byteps) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 390 Β· πŸ“‹ 240 - 37% open Β· ⏱️ 21.04.2021): ``` git clone https://github.com/bytedance/byteps @@ -5906,9 +5895,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn docker pull bytepsimage/tensorflow ```
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Apache Singa (πŸ₯‰19 Β· ⭐ 2.2K) - a distributed deep learning platform. Apache-2 +
Apache Singa (πŸ₯‰19 Β· ⭐ 2.3K) - a distributed deep learning platform. Apache-2 -- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 610 Β· πŸ“¦ 1 Β· πŸ“‹ 75 - 53% open Β· ⏱️ 15.01.2021): +- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 630 Β· πŸ“¦ 1 Β· πŸ“‹ 78 - 51% open Β· ⏱️ 15.01.2021): ``` git clone https://github.com/apache/singa @@ -5917,43 +5906,43 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` conda install -c nusdbsystem singa ``` -- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 160 Β· ⭐ 2 Β· ⏱️ 04.06.2019): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 170 Β· ⭐ 2 Β· ⏱️ 04.06.2019): ``` docker pull apache/singa ```
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Fiber (πŸ₯‰19 Β· ⭐ 890) - Distributed Computing for AI Made Simple. Apache-2 +
Fiber (πŸ₯‰19 Β· ⭐ 900) - Distributed Computing for AI Made Simple. Apache-2 -- [GitHub](https://github.com/uber/fiber) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 96 Β· πŸ“¦ 27 Β· πŸ“‹ 21 - 61% open Β· ⏱️ 15.03.2021): +- [GitHub](https://github.com/uber/fiber) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 96 Β· πŸ“¦ 27 Β· πŸ“‹ 22 - 63% open Β· ⏱️ 15.03.2021): ``` git clone https://github.com/uber/fiber ``` -- [PyPi](https://pypi.org/project/fiber) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 09.07.2020): +- [PyPi](https://pypi.org/project/fiber) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 09.07.2020): ``` pip install fiber ```
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Hivemind (πŸ₯‰19 Β· ⭐ 690) - Decentralized deep learning in PyTorch. Built to train models on.. MIT +
Hivemind (πŸ₯‰18 Β· ⭐ 700) - Decentralized deep learning in PyTorch. Built to train models on.. MIT -- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 41 Β· πŸ“¦ 2 Β· πŸ“‹ 79 - 54% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 42 Β· πŸ“¦ 2 Β· πŸ“‹ 81 - 53% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 150 / month Β· πŸ“¦ 1 Β· ⏱️ 27.04.2021): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 110 / month Β· πŸ“¦ 1 Β· ⏱️ 27.04.2021): ``` pip install hivemind ```
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sk-dist (πŸ₯‰19 Β· ⭐ 260) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 +
sk-dist (πŸ₯‰18 Β· ⭐ 270) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - [GitHub](https://github.com/Ibotta/sk-dist) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 45 Β· πŸ“¦ 6 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 01.03.2021): ``` git clone https://github.com/Ibotta/sk-dist ``` -- [PyPi](https://pypi.org/project/sk-dist) (πŸ“₯ 9.7K / month Β· πŸ“¦ 2 Β· ⏱️ 14.05.2020): +- [PyPi](https://pypi.org/project/sk-dist) (πŸ“₯ 10K / month Β· πŸ“¦ 2 Β· ⏱️ 14.05.2020): ``` pip install sk-dist ``` @@ -5965,11 +5954,11 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/peterwittek/somoclu ``` -- [PyPi](https://pypi.org/project/somoclu) (πŸ“₯ 1.1K / month Β· πŸ“¦ 4 Β· ⏱️ 25.04.2020): +- [PyPi](https://pypi.org/project/somoclu) (πŸ“₯ 770 / month Β· πŸ“¦ 4 Β· ⏱️ 25.04.2020): ``` pip install somoclu ``` -- [Conda](https://anaconda.org/conda-forge/somoclu) (πŸ“₯ 47K Β· ⏱️ 13.10.2020): +- [Conda](https://anaconda.org/conda-forge/somoclu) (πŸ“₯ 49K Β· ⏱️ 13.10.2020): ``` conda install -c conda-forge somoclu ``` @@ -5977,8 +5966,8 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Show 3 hidden projects... - DEAP (πŸ₯ˆ28 Β· ⭐ 4.2K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 -- TensorFrames (πŸ₯‰19 Β· ⭐ 770 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 -- LazyCluster (πŸ₯‰14 Β· ⭐ 38) - Distributed machine learning made simple. Apache-2 +- TensorFrames (πŸ₯‰20 Β· ⭐ 770 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 +- LazyCluster (πŸ₯‰13 Β· ⭐ 40) - Distributed machine learning made simple. Apache-2

@@ -5988,178 +5977,178 @@ _Libraries that provide capabilities to distribute and parallelize machine learn _Libraries for hyperparameter optimization, automl and neural architecture search._ -
Optuna (πŸ₯‡32 Β· ⭐ 4.5K) - A hyperparameter optimization framework. MIT +
Optuna (πŸ₯‡32 Β· ⭐ 4.6K) - A hyperparameter optimization framework. MIT -- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 500 Β· πŸ“¦ 1.3K Β· πŸ“‹ 820 - 22% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 510 Β· πŸ“¦ 1.4K Β· πŸ“‹ 830 - 19% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/optuna/optuna ``` -- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 500K / month Β· πŸ“¦ 52 Β· ⏱️ 05.04.2021): +- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 550K / month Β· πŸ“¦ 52 Β· ⏱️ 05.04.2021): ``` pip install optuna ``` -- [Conda](https://anaconda.org/conda-forge/optuna) (πŸ“₯ 26K Β· ⏱️ 05.04.2021): +- [Conda](https://anaconda.org/conda-forge/optuna) (πŸ“₯ 27K Β· ⏱️ 05.04.2021): ``` conda install -c conda-forge optuna ```
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Hyperopt (πŸ₯‡30 Β· ⭐ 5.6K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 +
Hyperopt (πŸ₯‡31 Β· ⭐ 5.7K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 -- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 880 Β· πŸ“¦ 3.3K Β· πŸ“‹ 570 - 60% open Β· ⏱️ 24.03.2021): +- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 880 Β· πŸ“¦ 3.4K Β· πŸ“‹ 570 - 60% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/hyperopt/hyperopt ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 820K / month Β· πŸ“¦ 500 Β· ⏱️ 07.10.2020): +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 850K / month Β· πŸ“¦ 500 Β· ⏱️ 07.10.2020): ``` pip install hyperopt ``` -- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 210K Β· ⏱️ 14.10.2020): +- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 220K Β· ⏱️ 14.10.2020): ``` conda install -c conda-forge hyperopt ```
scikit-optimize (πŸ₯‡30 Β· ⭐ 2.1K) - Sequential model-based optimization with a `scipy.optimize`.. BSD-3 -- [GitHub](https://github.com/scikit-optimize/scikit-optimize) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 400 Β· πŸ“¦ 1.6K Β· πŸ“‹ 580 - 35% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/scikit-optimize/scikit-optimize) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 400 Β· πŸ“¦ 1.7K Β· πŸ“‹ 580 - 35% open Β· ⏱️ 11.05.2021): ``` git clone https://github.com/scikit-optimize/scikit-optimize ``` -- [PyPi](https://pypi.org/project/scikit-optimize) (πŸ“₯ 1.5M / month Β· πŸ“¦ 160 Β· ⏱️ 04.09.2020): +- [PyPi](https://pypi.org/project/scikit-optimize) (πŸ“₯ 1.1M / month Β· πŸ“¦ 160 Β· ⏱️ 04.09.2020): ``` pip install scikit-optimize ``` -- [Conda](https://anaconda.org/conda-forge/scikit-optimize) (πŸ“₯ 290K Β· ⏱️ 04.09.2020): +- [Conda](https://anaconda.org/conda-forge/scikit-optimize) (πŸ“₯ 300K Β· ⏱️ 04.09.2020): ``` conda install -c conda-forge scikit-optimize ```
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Bayesian Optimization (πŸ₯‡28 Β· ⭐ 5.1K) - A Python implementation of global optimization with.. MIT +
AutoKeras (πŸ₯‡29 Β· ⭐ 8K Β· πŸ“ˆ) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/fmfn/BayesianOptimization) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 1.1K Β· πŸ“₯ 54 Β· πŸ“¦ 730 Β· πŸ“‹ 210 - 19% open Β· ⏱️ 19.12.2020): +- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.3K Β· πŸ“₯ 45 Β· πŸ“¦ 180 Β· πŸ“‹ 750 - 10% open Β· ⏱️ 31.05.2021): ``` - git clone https://github.com/fmfn/BayesianOptimization + git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 99K / month Β· πŸ“¦ 92 Β· ⏱️ 16.05.2020): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 23K / month Β· πŸ“¦ 14 Β· ⏱️ 31.05.2021): ``` - pip install bayesian-optimization + pip install autokeras ```
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NNI (πŸ₯ˆ27 Β· ⭐ 9.6K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT +
auto-sklearn (πŸ₯‡28 Β· ⭐ 5.5K) - Automated Machine Learning with scikit-learn. BSD-3 -- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.3K Β· πŸ“¦ 110 Β· πŸ“‹ 1.2K - 21% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 1K Β· πŸ“¦ 160 Β· πŸ“‹ 730 - 14% open Β· ⏱️ 14.05.2021): ``` - git clone https://github.com/microsoft/nni + git clone https://github.com/automl/auto-sklearn ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 3K / month Β· πŸ“¦ 16 Β· ⏱️ 26.04.2021): +- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 20K / month Β· πŸ“¦ 30 Β· ⏱️ 20.04.2021): ``` - pip install nni + pip install auto-sklearn ```
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AutoKeras (πŸ₯ˆ27 Β· ⭐ 7.9K) - AutoML library for deep learning. Apache-2 +
Bayesian Optimization (πŸ₯‡28 Β· ⭐ 5.1K) - A Python implementation of global optimization with.. MIT -- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.3K Β· πŸ“¦ 180 Β· πŸ“‹ 740 - 9% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/fmfn/BayesianOptimization) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 1.1K Β· πŸ“₯ 54 Β· πŸ“¦ 760 Β· πŸ“‹ 210 - 19% open Β· ⏱️ 19.12.2020): ``` - git clone https://github.com/keras-team/autokeras + git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 10K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2020): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 110K / month Β· πŸ“¦ 92 Β· ⏱️ 16.05.2020): ``` - pip install autokeras + pip install bayesian-optimization ```
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auto-sklearn (πŸ₯ˆ27 Β· ⭐ 5.4K) - Automated Machine Learning with scikit-learn. BSD-3 +
NNI (πŸ₯ˆ27 Β· ⭐ 9.7K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT -- [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 1K Β· πŸ“¦ 160 Β· πŸ“‹ 720 - 14% open Β· ⏱️ 05.05.2021): +- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.3K Β· πŸ“¦ 120 Β· πŸ“‹ 1.3K - 22% open Β· ⏱️ 03.06.2021): ``` - git clone https://github.com/automl/auto-sklearn + git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 23K / month Β· πŸ“¦ 30 Β· ⏱️ 20.04.2021): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 5.3K / month Β· πŸ“¦ 16 Β· ⏱️ 26.04.2021): ``` - pip install auto-sklearn + pip install nni ```
Keras Tuner (πŸ₯ˆ27 Β· ⭐ 2.3K) - Hyperparameter tuning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 280 Β· πŸ“¦ 560 Β· πŸ“‹ 310 - 49% open Β· ⏱️ 06.04.2021): +- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 280 Β· πŸ“¦ 610 Β· πŸ“‹ 310 - 49% open Β· ⏱️ 06.04.2021): ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 380K / month Β· πŸ“¦ 4 Β· ⏱️ 20.11.2020): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 370K / month Β· πŸ“¦ 4 Β· ⏱️ 20.11.2020): ``` pip install keras-tuner ```
Ax (πŸ₯ˆ27 Β· ⭐ 1.5K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 150 Β· πŸ“¦ 160 Β· πŸ“‹ 270 - 15% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 160 Β· πŸ“¦ 170 Β· πŸ“‹ 270 - 15% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 38K / month Β· πŸ“¦ 4 Β· ⏱️ 24.02.2021): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 44K / month Β· πŸ“¦ 4 Β· ⏱️ 24.02.2021): ``` pip install ax-platform ```
featuretools (πŸ₯ˆ26 Β· ⭐ 5.6K) - An open source python library for automated feature engineering. BSD-3 -- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 720 Β· πŸ“¦ 740 Β· πŸ“‹ 540 - 20% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 730 Β· πŸ“¦ 760 Β· πŸ“‹ 560 - 21% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 200K / month Β· πŸ“¦ 70 Β· ⏱️ 30.04.2021): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 180K / month Β· πŸ“¦ 70 Β· ⏱️ 26.05.2021): ``` pip install featuretools ``` -- [Conda](https://anaconda.org/conda-forge/featuretools) (πŸ“₯ 52K Β· ⏱️ 01.05.2021): +- [Conda](https://anaconda.org/conda-forge/featuretools) (πŸ“₯ 54K Β· ⏱️ 26.05.2021): ``` conda install -c conda-forge featuretools ```
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AutoGluon (πŸ₯ˆ26 Β· ⭐ 3.2K) - AutoGluon: AutoML for Text, Image, and Tabular Data. Apache-2 +
AutoGluon (πŸ₯ˆ26 Β· ⭐ 3.3K) - AutoGluon: AutoML for Text, Image, and Tabular Data. Apache-2 -- [GitHub](https://github.com/awslabs/autogluon) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 420 Β· πŸ“¦ 51 Β· πŸ“‹ 440 - 19% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/awslabs/autogluon) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 430 Β· πŸ“¦ 53 Β· πŸ“‹ 480 - 23% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/awslabs/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 25K / month Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 22K / month Β· ⏱️ 03.06.2021): ``` pip install autogluon ```
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nevergrad (πŸ₯ˆ26 Β· ⭐ 2.9K) - A Python toolbox for performing gradient-free optimization. MIT +
nevergrad (πŸ₯ˆ26 Β· ⭐ 3K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 280 Β· πŸ“¦ 170 Β· πŸ“‹ 210 - 39% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 280 Β· πŸ“¦ 180 Β· πŸ“‹ 220 - 39% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 24K / month Β· πŸ“¦ 14 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 26K / month Β· πŸ“¦ 14 Β· ⏱️ 19.04.2021): ``` pip install nevergrad ``` -- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 8.6K Β· ⏱️ 14.12.2020): +- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 9.2K Β· ⏱️ 02.06.2021): ``` conda install -c conda-forge nevergrad ```
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BoTorch (πŸ₯ˆ26 Β· ⭐ 1.9K) - Bayesian optimization in PyTorch. MIT +
BoTorch (πŸ₯ˆ26 Β· ⭐ 2K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 200 Β· πŸ“¦ 120 Β· πŸ“‹ 180 - 23% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 200 Β· πŸ“¦ 130 Β· πŸ“‹ 180 - 23% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 48K / month Β· ⏱️ 08.12.2020): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 52K / month Β· ⏱️ 08.12.2020): ``` pip install botorch ``` @@ -6171,7 +6160,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/automl/SMAC3 ``` -- [PyPi](https://pypi.org/project/smac) (πŸ“₯ 32K / month Β· πŸ“¦ 58 Β· ⏱️ 29.10.2020): +- [PyPi](https://pypi.org/project/smac) (πŸ“₯ 24K / month Β· πŸ“¦ 58 Β· ⏱️ 29.10.2020): ``` pip install smac ``` @@ -6183,153 +6172,141 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/maxpumperla/hyperas ``` -- [PyPi](https://pypi.org/project/hyperas) (πŸ“₯ 39K / month Β· πŸ“¦ 42 Β· ⏱️ 28.02.2019): +- [PyPi](https://pypi.org/project/hyperas) (πŸ“₯ 42K / month Β· πŸ“¦ 42 Β· ⏱️ 28.02.2019): ``` pip install hyperas ```
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GPyOpt (πŸ₯ˆ24 Β· ⭐ 730) - Gaussian Process Optimization using GPy. BSD-3 +
GPyOpt (πŸ₯ˆ24 Β· ⭐ 730 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 -- [GitHub](https://github.com/SheffieldML/GPyOpt) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 220 Β· πŸ“¦ 190 Β· πŸ“‹ 290 - 34% open Β· ⏱️ 05.11.2020): +- [GitHub](https://github.com/SheffieldML/GPyOpt) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 220 Β· πŸ“¦ 200 Β· πŸ“‹ 290 - 34% open Β· ⏱️ 05.11.2020): ``` git clone https://github.com/SheffieldML/GPyOpt ``` -- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 12K / month Β· πŸ“¦ 36 Β· ⏱️ 19.03.2020): +- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 11K / month Β· πŸ“¦ 36 Β· ⏱️ 19.03.2020): ``` pip install gpyopt ```
Orion (πŸ₯ˆ24 Β· ⭐ 190) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 -- [GitHub](https://github.com/Epistimio/orion) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 40 Β· πŸ“¦ 40 Β· πŸ“‹ 160 - 26% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/Epistimio/orion) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 41 Β· πŸ“¦ 40 Β· πŸ“‹ 160 - 27% open Β· ⏱️ 19.05.2021): ``` git clone https://github.com/Epistimio/orion ``` -- [PyPi](https://pypi.org/project/orion) (πŸ“₯ 2.4K / month Β· πŸ“¦ 8 Β· ⏱️ 08.04.2021): +- [PyPi](https://pypi.org/project/orion) (πŸ“₯ 2.6K / month Β· πŸ“¦ 8 Β· ⏱️ 19.05.2021): ``` pip install orion ```
mljar-supervised (πŸ₯‰23 Β· ⭐ 1.3K) - Automated Machine Learning Pipeline with Feature Engineering.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 160 Β· πŸ“¦ 10 Β· πŸ“‹ 360 - 8% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 170 Β· πŸ“¦ 10 Β· πŸ“‹ 370 - 11% open Β· ⏱️ 14.05.2021): ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 5.1K / month Β· ⏱️ 01.04.2021): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 5.2K / month Β· ⏱️ 14.05.2021): ``` pip install mljar-supervised ```
AdaNet (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 -- [GitHub](https://github.com/tensorflow/adanet) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 510 Β· πŸ“¦ 37 Β· πŸ“‹ 110 - 58% open Β· ⏱️ 09.07.2020): +- [GitHub](https://github.com/tensorflow/adanet) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 510 Β· πŸ“¦ 39 Β· πŸ“‹ 110 - 58% open Β· ⏱️ 09.07.2020): ``` git clone https://github.com/tensorflow/adanet ``` -- [PyPi](https://pypi.org/project/adanet) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 09.07.2020): +- [PyPi](https://pypi.org/project/adanet) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 09.07.2020): ``` pip install adanet ```
Talos (πŸ₯‰22 Β· ⭐ 1.4K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT -- [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 390 - 10% open Β· ⏱️ 21.11.2020): +- [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“¦ 120 Β· πŸ“‹ 390 - 10% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 2K / month Β· πŸ“¦ 6 Β· ⏱️ 09.11.2020): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 2.2K / month Β· πŸ“¦ 6 Β· ⏱️ 09.11.2020): ``` pip install talos ```
lazypredict (πŸ₯‰22 Β· ⭐ 380) - Lazy Predict help build a lot of basic models without much code.. MIT -- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 84 Β· πŸ“¦ 70 Β· πŸ“‹ 47 - 36% open Β· ⏱️ 10.04.2021): +- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 84 Β· πŸ“¦ 91 Β· πŸ“‹ 48 - 37% open Β· ⏱️ 10.04.2021): ``` git clone https://github.com/shankarpandala/lazypredict ``` -- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 4.9K / month Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 6.8K / month Β· ⏱️ 17.02.2021): ``` pip install lazypredict ```
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Neuraxle (πŸ₯‰21 Β· ⭐ 410) - A Sklearn-like Framework for Hyperparameter Tuning and AutoML in.. Apache-2 +
Neuraxle (πŸ₯‰21 Β· ⭐ 420) - A Sklearn-like Framework for Hyperparameter Tuning and AutoML in.. Apache-2 -- [GitHub](https://github.com/Neuraxio/Neuraxle) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 43 Β· πŸ“¦ 18 Β· πŸ“‹ 290 - 45% open Β· ⏱️ 05.05.2021): +- [GitHub](https://github.com/Neuraxio/Neuraxle) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 46 Β· πŸ“¦ 18 Β· πŸ“‹ 290 - 46% open Β· ⏱️ 14.05.2021): ``` git clone https://github.com/Neuraxio/Neuraxle ``` -- [PyPi](https://pypi.org/project/neuraxle) (πŸ“₯ 410 / month Β· ⏱️ 25.02.2021): +- [PyPi](https://pypi.org/project/neuraxle) (πŸ“₯ 460 / month Β· ⏱️ 25.02.2021): ``` pip install neuraxle ```
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optunity (πŸ₯‰21 Β· ⭐ 370 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 +
Auto ViML (πŸ₯‰20 Β· ⭐ 260) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 -- [GitHub](https://github.com/claesenm/optunity) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 73 Β· πŸ“₯ 64 Β· πŸ“¦ 60 Β· πŸ“‹ 94 - 48% open Β· ⏱️ 11.05.2020): - - ``` - git clone https://github.com/claesenm/optunity - ``` -- [PyPi](https://pypi.org/project/optunity) (πŸ“₯ 15K / month Β· πŸ“¦ 24 Β· ⏱️ 30.09.2015): - ``` - pip install optunity - ``` -
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Auto ViML (πŸ₯‰21 Β· ⭐ 250) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 - -- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 54 Β· πŸ“¦ 13 Β· πŸ“‹ 18 - 22% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 58 Β· πŸ“¦ 13 Β· πŸ“‹ 18 - 22% open Β· ⏱️ 17.05.2021): ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 1.3K / month Β· ⏱️ 15.04.2021): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 590 / month Β· ⏱️ 17.05.2021): ``` pip install autoviml ```
Dragonfly (πŸ₯‰18 Β· ⭐ 580 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT -- [GitHub](https://github.com/dragonfly/dragonfly) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 78 Β· πŸ“‹ 42 - 59% open Β· ⏱️ 03.07.2020): +- [GitHub](https://github.com/dragonfly/dragonfly) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 79 Β· πŸ“‹ 42 - 59% open Β· ⏱️ 03.07.2020): ``` git clone https://github.com/dragonfly/dragonfly ``` -- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 17K / month Β· πŸ“¦ 2 Β· ⏱️ 03.07.2020): +- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 21K / month Β· πŸ“¦ 2 Β· ⏱️ 03.07.2020): ``` pip install dragonfly-opt ```
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HyperparameterHunter (πŸ₯‰15 Β· ⭐ 650) - Easy hyperparameter optimization and automatic result.. MIT +
AlphaPy (πŸ₯‰16 Β· ⭐ 600) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 -- [GitHub](https://github.com/HunterMcGushion/hyperparameter_hunter) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 84 Β· πŸ“₯ 290 Β· πŸ“‹ 120 - 30% open Β· ⏱️ 20.01.2021): +- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 140 Β· πŸ“¦ 2 Β· πŸ“‹ 38 - 23% open Β· ⏱️ 08.02.2021): ``` - git clone https://github.com/HunterMcGushion/hyperparameter_hunter + git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/hyperparameter-hunter) (πŸ“₯ 52 / month Β· πŸ“¦ 2 Β· ⏱️ 06.08.2019): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 150 / month Β· ⏱️ 29.08.2020): ``` - pip install hyperparameter-hunter + pip install alphapy ```
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AlphaPy (πŸ₯‰15 Β· ⭐ 590 Β· πŸ“‰) - Automated Machine Learning [AutoML] with Python, scikit-learn,.. Apache-2 +
HyperparameterHunter (πŸ₯‰15 Β· ⭐ 650) - Easy hyperparameter optimization and automatic result.. MIT -- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 130 Β· πŸ“¦ 2 Β· πŸ“‹ 38 - 23% open Β· ⏱️ 08.02.2021): +- [GitHub](https://github.com/HunterMcGushion/hyperparameter_hunter) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 83 Β· πŸ“₯ 290 Β· πŸ“‹ 120 - 30% open Β· ⏱️ 20.01.2021): ``` - git clone https://github.com/ScottfreeLLC/AlphaPy + git clone https://github.com/HunterMcGushion/hyperparameter_hunter ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 140 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/hyperparameter-hunter) (πŸ“₯ 52 / month Β· πŸ“¦ 2 Β· ⏱️ 06.08.2019): ``` - pip install alphapy + pip install hyperparameter-hunter ```
ENAS (πŸ₯‰13 Β· ⭐ 2.4K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 @@ -6348,24 +6325,25 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc git clone https://github.com/joeddav/devol ```
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Show 16 hidden projects... +
Show 17 hidden projects... -- TPOT (πŸ₯‡29 Β· ⭐ 8K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 +- TPOT (πŸ₯‡28 Β· ⭐ 8K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - 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 - auto_ml (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT -- HpBandSter (πŸ₯‰20 Β· ⭐ 460 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 -- Test Tube (πŸ₯‰19 Β· ⭐ 680 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT -- Sherpa (πŸ₯‰18 Β· ⭐ 290 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 +- HpBandSter (πŸ₯‰20 Β· ⭐ 470 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 +- sklearn-deap (πŸ₯‰18 Β· ⭐ 640 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. 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 -- sklearn-deap (πŸ₯‰17 Β· ⭐ 640 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT - automl-gs (πŸ₯‰16 Β· ⭐ 1.7K 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· ⭐ 96 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 -- featurewiz (πŸ₯‰13 Β· ⭐ 56 Β· 🐣) - Use advanced feature engineering strategies and select the.. Apache-2 -- Hypertunity (πŸ₯‰10 Β· ⭐ 120 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2 +- featurewiz (πŸ₯‰13 Β· ⭐ 62) - Use advanced feature engineering strategies and select the best.. Apache-2 +- Hypertunity (πŸ₯‰11 Β· ⭐ 120 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2

@@ -6377,36 +6355,36 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
OpenAI Gym (πŸ₯‡36 Β· ⭐ 24K) - A toolkit for developing and comparing reinforcement learning.. MIT -- [GitHub](https://github.com/openai/gym) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 6.9K Β· πŸ“¦ 20K Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 06.04.2021): +- [GitHub](https://github.com/openai/gym) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 7K Β· πŸ“¦ 21K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 17.05.2021): ``` git clone https://github.com/openai/gym ``` -- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 940K / month Β· πŸ“¦ 3.6K Β· ⏱️ 19.12.2020): +- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 1.1M / month Β· πŸ“¦ 3.6K Β· ⏱️ 18.05.2021): ``` pip install gym ```
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Dopamine (πŸ₯‡30 Β· ⭐ 9.4K Β· πŸ“ˆ) - Dopamine is a research framework for fast prototyping of.. Apache-2 +
Dopamine (πŸ₯‡30 Β· ⭐ 9.4K) - 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 - 51% open Β· ⏱️ 07.05.2021): ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 4.7M / month Β· πŸ“¦ 62 Β· ⏱️ 08.04.2021): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 7M / month Β· πŸ“¦ 62 Β· ⏱️ 08.04.2021): ``` pip install dopamine-rl ```
TF-Agents (πŸ₯ˆ28 Β· ⭐ 1.9K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 510 Β· πŸ“¦ 460 Β· πŸ“‹ 460 - 22% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 520 Β· πŸ“¦ 480 Β· πŸ“‹ 460 - 22% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 18K / month Β· πŸ“¦ 12 Β· ⏱️ 30.04.2021): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 28K / month Β· πŸ“¦ 12 Β· ⏱️ 16.05.2021): ``` pip install tf-agents ``` @@ -6418,31 +6396,31 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorlayer/tensorlayer ``` -- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 3.1K / month Β· πŸ“¦ 68 Β· ⏱️ 19.06.2020): +- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 3.2K / month Β· πŸ“¦ 68 Β· ⏱️ 19.06.2020): ``` pip install tensorlayer ```
Stable Baselines (πŸ₯ˆ26 Β· ⭐ 3.1K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT -- [GitHub](https://github.com/hill-a/stable-baselines) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 610 Β· πŸ“‹ 880 - 14% open Β· ⏱️ 19.04.2021): +- [GitHub](https://github.com/hill-a/stable-baselines) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 610 Β· πŸ“‹ 880 - 14% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/hill-a/stable-baselines ``` -- [PyPi](https://pypi.org/project/stable-baselines) (πŸ“₯ 13K / month Β· πŸ“¦ 50 Β· ⏱️ 06.04.2021): +- [PyPi](https://pypi.org/project/stable-baselines) (πŸ“₯ 11K / month Β· πŸ“¦ 50 Β· ⏱️ 06.04.2021): ``` pip install stable-baselines ```
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TensorForce (πŸ₯ˆ26 Β· ⭐ 2.9K) - Tensorforce: a TensorFlow library for applied.. Apache-2 +
TensorForce (πŸ₯ˆ26 Β· ⭐ 3K) - Tensorforce: a TensorFlow library for applied reinforcement.. Apache-2 -- [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 500 Β· πŸ“‹ 570 - 2% open Β· ⏱️ 09.05.2021): +- [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 500 Β· πŸ“‹ 590 - 1% open Β· ⏱️ 29.05.2021): ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 1.9K / month Β· πŸ“¦ 46 Β· ⏱️ 07.09.2019): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 1.7K / month Β· πŸ“¦ 46 Β· ⏱️ 07.09.2019): ``` pip install tensorforce ``` @@ -6454,98 +6432,98 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 1.3K / month Β· πŸ“¦ 24 Β· ⏱️ 29.10.2020): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 1.5K / month Β· πŸ“¦ 24 Β· ⏱️ 29.10.2020): ``` pip install vizdoom ```
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garage (πŸ₯‰24 Β· ⭐ 1.2K) - A toolkit for reproducible reinforcement learning research. MIT +
Acme (πŸ₯‰24 Β· ⭐ 2.1K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/rlworkgroup/garage) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 220 Β· πŸ“¦ 19 Β· πŸ“‹ 990 - 20% open Β· ⏱️ 09.05.2021): +- [GitHub](https://github.com/deepmind/acme) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 230 Β· πŸ“¦ 29 Β· πŸ“‹ 110 - 45% open Β· ⏱️ 31.05.2021): ``` - git clone https://github.com/rlworkgroup/garage + git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 420 / month Β· ⏱️ 23.03.2021): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.5K / month Β· ⏱️ 26.05.2021): ``` - pip install garage + pip install dm-acme ```
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Acme (πŸ₯‰23 Β· ⭐ 2.1K) - A library of reinforcement learning components and agents. Apache-2 +
garage (πŸ₯‰24 Β· ⭐ 1.2K) - A toolkit for reproducible reinforcement learning research. MIT -- [GitHub](https://github.com/deepmind/acme) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 220 Β· πŸ“¦ 27 Β· πŸ“‹ 97 - 44% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/rlworkgroup/garage) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 220 Β· πŸ“¦ 19 Β· πŸ“‹ 990 - 20% open Β· ⏱️ 26.05.2021): ``` - git clone https://github.com/deepmind/acme + git clone https://github.com/rlworkgroup/garage ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.7K / month Β· ⏱️ 23.10.2020): +- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 340 / month Β· ⏱️ 23.03.2021): ``` - pip install dm-acme + pip install garage ```
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ChainerRL (πŸ₯‰23 Β· ⭐ 950) - ChainerRL is a deep reinforcement learning library built on top of.. MIT +
ChainerRL (πŸ₯‰23 Β· ⭐ 960) - ChainerRL is a deep reinforcement learning library built on top of.. MIT -- [GitHub](https://github.com/chainer/chainerrl) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 98 Β· πŸ“‹ 220 - 33% open Β· ⏱️ 17.04.2021): +- [GitHub](https://github.com/chainer/chainerrl) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 99 Β· πŸ“‹ 220 - 33% open Β· ⏱️ 17.04.2021): ``` git clone https://github.com/chainer/chainerrl ``` -- [PyPi](https://pypi.org/project/chainerrl) (πŸ“₯ 600 / month Β· πŸ“¦ 14 Β· ⏱️ 14.02.2020): +- [PyPi](https://pypi.org/project/chainerrl) (πŸ“₯ 730 / month Β· πŸ“¦ 14 Β· ⏱️ 14.02.2020): ``` pip install chainerrl ```
PARL (πŸ₯‰21 Β· ⭐ 2K) - A high-performance distributed training framework for Reinforcement.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 470 Β· πŸ“¦ 72 Β· πŸ“‹ 220 - 22% open Β· ⏱️ 29.04.2021): +- [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 490 Β· πŸ“¦ 72 Β· πŸ“‹ 230 - 24% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 610 / month Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 580 / month Β· ⏱️ 03.06.2021): ``` pip install parl ```
Coach (πŸ₯‰20 Β· ⭐ 2K) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 -- [GitHub](https://github.com/IntelLabs/coach) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 390 Β· πŸ“‹ 270 - 31% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/IntelLabs/coach) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 390 Β· πŸ“‹ 270 - 31% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/IntelLabs/coach ``` -- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 220 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): +- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 180 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): ``` pip install rl_coach ```
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PFRL (πŸ₯‰20 Β· ⭐ 590) - PFRL: a PyTorch-based deep reinforcement learning library. MIT +
PFRL (πŸ₯‰19 Β· ⭐ 600) - PFRL: a PyTorch-based deep reinforcement learning library. MIT -- [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 70 Β· πŸ“¦ 9 Β· πŸ“‹ 47 - 46% open Β· ⏱️ 28.04.2021): +- [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 73 Β· πŸ“¦ 12 Β· πŸ“‹ 48 - 45% open Β· ⏱️ 16.05.2021): ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 1.2K / month Β· ⏱️ 17.12.2020): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 760 / month Β· ⏱️ 17.12.2020): ``` pip install pfrl ```
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RLax (πŸ₯‰18 Β· ⭐ 590) - A library of reinforcement learning building blocks in JAX. Apache-2 jax +
RLax (πŸ₯‰19 Β· ⭐ 600) - A library of reinforcement learning building blocks in JAX. Apache-2 jax -- [GitHub](https://github.com/deepmind/rlax) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 47 Β· πŸ“¦ 16 Β· πŸ“‹ 7 - 42% open Β· ⏱️ 13.04.2021): +- [GitHub](https://github.com/deepmind/rlax) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 48 Β· πŸ“¦ 19 Β· πŸ“‹ 8 - 50% open Β· ⏱️ 28.05.2021): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 560 / month Β· ⏱️ 19.02.2020): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 1.2K / month Β· ⏱️ 19.02.2020): ``` pip install rlax ```
ReAgent (πŸ₯‰17 Β· ⭐ 2.9K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 -- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 400 Β· πŸ“‹ 95 - 21% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 400 Β· πŸ“‹ 95 - 21% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/facebookresearch/ReAgent @@ -6553,10 +6531,10 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 4 hidden projects... -- baselines (πŸ₯ˆ27 Β· ⭐ 11K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT -- keras-rl (πŸ₯ˆ25 Β· ⭐ 5K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT +- baselines (πŸ₯ˆ26 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 - TRFL (πŸ₯‰21 Β· ⭐ 3.1K Β· πŸ’€) - TensorFlow Reinforcement Learning. Apache-2 -- DeepMind Lab (πŸ₯‰17 Β· ⭐ 6.4K) - A customisable 3D platform for agent-based AI research. ❗️GPL-2.0 +- DeepMind Lab (πŸ₯‰16 Β· ⭐ 6.5K) - A customisable 3D platform for agent-based AI research. ❗️GPL-2.0

@@ -6566,62 +6544,62 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst _Libraries for building and evaluating recommendation systems._ -
implicit (πŸ₯‡27 Β· ⭐ 2.3K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT +
implicit (πŸ₯‡27 Β· ⭐ 2.4K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT -- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 490 Β· πŸ“¦ 410 Β· πŸ“‹ 340 - 24% open Β· ⏱️ 08.05.2021): +- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 490 Β· πŸ“¦ 420 Β· πŸ“‹ 350 - 24% open Β· ⏱️ 08.05.2021): ``` git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 84K / month Β· πŸ“¦ 44 Β· ⏱️ 15.09.2020): +- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 110K / month Β· πŸ“¦ 44 Β· ⏱️ 15.09.2020): ``` pip install implicit ``` -- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 240K Β· ⏱️ 24.11.2020): +- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 250K Β· ⏱️ 24.11.2020): ``` conda install -c conda-forge implicit ```
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scikit-surprise (πŸ₯‡26 Β· ⭐ 4.8K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 +
scikit-surprise (πŸ₯‡26 Β· ⭐ 4.9K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 - [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 860 Β· πŸ“¦ 1.1K Β· πŸ“‹ 340 - 15% open Β· ⏱️ 05.08.2020): ``` git clone https://github.com/NicolasHug/Surprise ``` -- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 46K / month Β· πŸ“¦ 48 Β· ⏱️ 19.07.2020): +- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 48K / month Β· πŸ“¦ 48 Β· ⏱️ 19.07.2020): ``` pip install scikit-surprise ``` -- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (πŸ“₯ 170K Β· ⏱️ 13.10.2020): +- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (πŸ“₯ 180K Β· ⏱️ 13.10.2020): ``` conda install -c conda-forge scikit-surprise ```
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lightfm (πŸ₯‡26 Β· ⭐ 3.6K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2 +
lightfm (πŸ₯ˆ25 Β· ⭐ 3.6K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2 -- [GitHub](https://github.com/lyst/lightfm) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 580 Β· πŸ“¦ 460 Β· πŸ“‹ 420 - 18% open Β· ⏱️ 07.02.2021): +- [GitHub](https://github.com/lyst/lightfm) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 580 Β· πŸ“¦ 470 Β· πŸ“‹ 420 - 18% open Β· ⏱️ 07.02.2021): ``` git clone https://github.com/lyst/lightfm ``` -- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 170K / month Β· πŸ“¦ 56 Β· ⏱️ 27.11.2020): +- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 190K / month Β· πŸ“¦ 56 Β· ⏱️ 27.11.2020): ``` pip install lightfm ``` -- [Conda](https://anaconda.org/conda-forge/lightfm) (πŸ“₯ 90K Β· ⏱️ 07.02.2021): +- [Conda](https://anaconda.org/conda-forge/lightfm) (πŸ“₯ 94K Β· ⏱️ 07.02.2021): ``` conda install -c conda-forge lightfm ```
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Cornac (πŸ₯ˆ24 Β· ⭐ 340) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 +
Cornac (πŸ₯ˆ24 Β· ⭐ 350) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 65 Β· πŸ“¦ 44 Β· πŸ“‹ 46 - 6% open Β· ⏱️ 24.04.2021): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 67 Β· πŸ“¦ 47 Β· πŸ“‹ 47 - 6% open Β· ⏱️ 23.05.2021): ``` git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 2.5K / month Β· πŸ“¦ 2 Β· ⏱️ 30.03.2021): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 2.6K / month Β· πŸ“¦ 2 Β· ⏱️ 30.03.2021): ``` pip install cornac ``` @@ -6632,93 +6610,82 @@ _Libraries for building and evaluating recommendation systems._
TF Ranking (πŸ₯ˆ23 Β· ⭐ 2.1K) - Learning to Rank in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 380 Β· πŸ“‹ 230 - 11% open Β· ⏱️ 04.02.2021): +- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 380 Β· πŸ“‹ 240 - 12% open Β· ⏱️ 24.05.2021): ``` git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 89K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2021): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 88K / month Β· πŸ“¦ 2 Β· ⏱️ 25.05.2021): ``` pip install tensorflow_ranking ```
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Recommenders (πŸ₯ˆ22 Β· ⭐ 9.7K) - Best Practices on Recommendation Systems. MIT +
Recommenders (πŸ₯ˆ22 Β· ⭐ 10K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/microsoft/recommenders) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 1.7K Β· πŸ“¦ 2 Β· πŸ“‹ 580 - 22% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/microsoft/recommenders) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 1.7K Β· πŸ“¦ 2 Β· πŸ“‹ 590 - 23% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/microsoft/recommenders ```
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RecBole (πŸ₯‰21 Β· ⭐ 950) - A unified, comprehensive and efficient recommendation library. MIT +
RecBole (πŸ₯‰21 Β· ⭐ 1K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 150 Β· πŸ“‹ 120 - 23% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 160 Β· πŸ“‹ 130 - 22% open Β· ⏱️ 14.05.2021): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 580 / month Β· ⏱️ 22.03.2021): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 690 / month Β· ⏱️ 22.03.2021): ``` pip install recbole ``` -- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 400 Β· ⏱️ 22.03.2021): +- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 440 Β· ⏱️ 22.03.2021): ``` conda install -c aibox recbole ```
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fastFM (πŸ₯‰21 Β· ⭐ 920) - fastFM: A Library for Factorization Machines. BSD-3 +
TF Recommenders (πŸ₯‰21 Β· ⭐ 860) - TensorFlow Recommenders is a library for building.. Apache-2 -- [GitHub](https://github.com/ibayer/fastFM) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 190 Β· πŸ“₯ 390 Β· πŸ“¦ 81 Β· πŸ“‹ 100 - 42% open Β· ⏱️ 24.03.2021): +- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 110 Β· πŸ“¦ 23 Β· πŸ“‹ 140 - 48% open Β· ⏱️ 24.05.2021): ``` - git clone https://github.com/ibayer/fastFM + git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/fastfm) (πŸ“₯ 840 / month Β· πŸ“¦ 8 Β· ⏱️ 23.11.2017): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 34K / month Β· ⏱️ 17.05.2021): ``` - pip install fastfm + pip install tensorflow-recommenders ```
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TF Recommenders (πŸ₯‰21 Β· ⭐ 820) - TensorFlow Recommenders is a library for building.. Apache-2 +
fastFM (πŸ₯‰20 Β· ⭐ 920) - fastFM: A Library for Factorization Machines. BSD-3 -- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 100 Β· πŸ“¦ 21 Β· πŸ“‹ 130 - 47% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/ibayer/fastFM) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 190 Β· πŸ“₯ 390 Β· πŸ“¦ 82 Β· πŸ“‹ 100 - 42% 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“₯ 34K / month Β· ⏱️ 07.05.2021): +- [PyPi](https://pypi.org/project/fastfm) (πŸ“₯ 940 / month Β· πŸ“¦ 8 Β· ⏱️ 23.11.2017): ``` - pip install tensorflow-recommenders + pip install fastfm ```
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recmetrics (πŸ₯‰18 Β· ⭐ 260) - A library of metrics for evaluating recommender systems. MIT +
recmetrics (πŸ₯‰18 Β· ⭐ 270) - A library of metrics for evaluating recommender systems. MIT - [GitHub](https://github.com/statisticianinstilettos/recmetrics) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 60 Β· πŸ“¦ 19 Β· πŸ“‹ 12 - 41% open Β· ⏱️ 03.12.2020): ``` git clone https://github.com/statisticianinstilettos/recmetrics ``` -- [PyPi](https://pypi.org/project/recmetrics) (πŸ“₯ 350 / month Β· ⏱️ 05.03.2019): +- [PyPi](https://pypi.org/project/recmetrics) (πŸ“₯ 400 / month Β· ⏱️ 05.03.2019): ``` pip install recmetrics ```
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Case Recommender (πŸ₯‰16 Β· ⭐ 330 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT - -- [GitHub](https://github.com/caserec/CaseRecommender) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 71 Β· πŸ“¦ 9 Β· πŸ“‹ 23 - 30% open Β· ⏱️ 26.05.2020): - - ``` - git clone https://github.com/caserec/CaseRecommender - ``` -- [PyPi](https://pypi.org/project/caserecommender) (πŸ“₯ 130 / month Β· ⏱️ 20.08.2019): - ``` - pip install caserecommender - ``` -
-
Show 3 hidden projects... +
Show 4 hidden projects... -- tensorrec (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 +- tensorrec (πŸ₯‰20 Β· ⭐ 1.1K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - Spotlight (πŸ₯‰17 Β· ⭐ 2.5K Β· πŸ’€) - Deep recommender models using PyTorch. MIT -- OpenRec (πŸ₯‰15 Β· ⭐ 370 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 +- OpenRec (πŸ₯‰16 Β· ⭐ 370 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 +- Case Recommender (πŸ₯‰16 Β· ⭐ 330 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT

@@ -6728,70 +6695,70 @@ _Libraries for building and evaluating recommendation systems._ _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._ -
PySyft (πŸ₯‡25 Β· ⭐ 7.2K) - A library for answering questions using data you cannot see. Apache-2 +
PySyft (πŸ₯‡26 Β· ⭐ 7.2K) - A library for answering questions using data you cannot see. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.6K Β· πŸ“‹ 2.9K - 6% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 1.7K Β· πŸ“‹ 2.9K - 6% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 2.9K / month Β· πŸ“¦ 6 Β· ⏱️ 01.04.2021): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 2.7K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2021): ``` pip install syft ```
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Opacus (πŸ₯ˆ22 Β· ⭐ 810) - Training PyTorch models with differential privacy. Apache-2 +
TensorFlow Privacy (πŸ₯ˆ23 Β· ⭐ 1.4K Β· πŸ“ˆ) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 120 Β· πŸ“₯ 32 Β· πŸ“¦ 29 Β· πŸ“‹ 78 - 17% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 300 Β· πŸ“₯ 43 Β· πŸ“‹ 140 - 41% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/pytorch/opacus + git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 6.6K / month Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 12K / month Β· πŸ“¦ 2 Β· ⏱️ 02.06.2021): ``` - pip install opacus + pip install tensorflow-privacy ```
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TensorFlow Privacy (πŸ₯ˆ21 Β· ⭐ 1.4K) - Library for training machine learning models with.. Apache-2 +
Opacus (πŸ₯ˆ23 Β· ⭐ 820) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 290 Β· πŸ“₯ 42 Β· πŸ“‹ 130 - 41% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 120 Β· πŸ“₯ 34 Β· πŸ“¦ 33 Β· πŸ“‹ 82 - 17% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/tensorflow/privacy + git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 11K / month Β· πŸ“¦ 2 Β· ⏱️ 13.04.2021): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 8.8K / month Β· ⏱️ 10.03.2021): ``` - pip install tensorflow-privacy + pip install opacus ```
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TFEncrypted (πŸ₯ˆ21 Β· ⭐ 860 Β· πŸ’€) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 +
TFEncrypted (πŸ₯‰21 Β· ⭐ 880 Β· πŸ’€) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 -- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 140 Β· πŸ“¦ 52 Β· πŸ“‹ 400 - 41% open Β· ⏱️ 19.08.2020): +- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 140 Β· πŸ“¦ 52 Β· πŸ“‹ 400 - 42% open Β· ⏱️ 19.08.2020): ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 800 / month Β· πŸ“¦ 16 Β· ⏱️ 21.10.2019): +- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 480 / month Β· πŸ“¦ 16 Β· ⏱️ 21.10.2019): ``` pip install tf-encrypted ```
FATE (πŸ₯‰20 Β· ⭐ 3.1K) - An Industrial Grade Federated Learning Framework. Apache-2 -- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 890 Β· πŸ“‹ 850 - 34% open Β· ⏱️ 30.04.2021): +- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 900 Β· πŸ“‹ 860 - 34% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/FederatedAI/FATE ```
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CrypTen (πŸ₯‰17 Β· ⭐ 790) - A framework for Privacy Preserving Machine Learning. MIT +
CrypTen (πŸ₯‰16 Β· ⭐ 810) - A framework for Privacy Preserving Machine Learning. MIT -- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 7 Β· πŸ“‹ 69 - 39% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 110 Β· πŸ“¦ 7 Β· πŸ“‹ 71 - 38% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 200 / month Β· ⏱️ 05.02.2020): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 140 / month Β· ⏱️ 05.02.2020): ``` pip install crypten ``` @@ -6806,7 +6773,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
Tensorboard (πŸ₯‡36 Β· ⭐ 5.5K) - TensorFlow's Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.4K Β· πŸ“¦ 64K Β· πŸ“‹ 1.5K - 36% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.4K Β· πŸ“¦ 67K Β· πŸ“‹ 1.5K - 36% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/tensorflow/tensorboard @@ -6820,105 +6787,105 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge tensorboard ```
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mlflow (πŸ₯‡33 Β· ⭐ 9.3K) - Open source platform for the machine learning lifecycle. Apache-2 +
mlflow (πŸ₯‡33 Β· ⭐ 9.5K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2K Β· πŸ“‹ 1.9K - 42% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.1K Β· πŸ“‹ 1.9K - 42% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 4.7M / month Β· πŸ“¦ 150 Β· ⏱️ 08.05.2021): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 4.8M / month Β· πŸ“¦ 150 Β· ⏱️ 08.05.2021): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 300K Β· ⏱️ 10.05.2021): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 320K Β· ⏱️ 17.05.2021): ``` conda install -c conda-forge mlflow ```
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DVC (πŸ₯‡31 Β· ⭐ 7.9K) - Data Version Control | Git for Data & Models. Apache-2 +
DVC (πŸ₯‡31 Β· ⭐ 8K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 750 Β· πŸ“₯ 24K Β· πŸ“¦ 960 Β· πŸ“‹ 2.9K - 16% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 760 Β· πŸ“₯ 26K Β· πŸ“¦ 1.1K Β· πŸ“‹ 3K - 16% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 150K / month Β· πŸ“¦ 46 Β· ⏱️ 03.05.2021): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 150K / month Β· πŸ“¦ 46 Β· ⏱️ 02.06.2021): ``` pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 650K Β· ⏱️ 03.05.2021): +- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 690K Β· ⏱️ 02.06.2021): ``` conda install -c conda-forge dvc ```
SageMaker SDK (πŸ₯‡31 Β· ⭐ 1.4K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 630 Β· πŸ“¦ 690 Β· πŸ“‹ 820 - 33% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 640 Β· πŸ“¦ 720 Β· πŸ“‹ 830 - 28% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 690K / month Β· πŸ“¦ 28 Β· ⏱️ 11.05.2021): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 610K / month Β· πŸ“¦ 28 Β· ⏱️ 01.06.2021): ``` pip install sagemaker ```
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tensorboardX (πŸ₯ˆ30 Β· ⭐ 6.9K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT +
tensorboardX (πŸ₯ˆ30 Β· ⭐ 7K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT - [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 800 Β· πŸ“₯ 330 Β· πŸ“¦ 12K Β· πŸ“‹ 420 - 15% open Β· ⏱️ 03.04.2021): ``` git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 870K / month Β· πŸ“¦ 1.3K Β· ⏱️ 05.07.2020): +- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 910K / month Β· πŸ“¦ 1.3K Β· ⏱️ 05.07.2020): ``` pip install tensorboardX ``` -- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 360K Β· ⏱️ 06.04.2021): +- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 380K Β· ⏱️ 06.04.2021): ``` conda install -c conda-forge tensorboardx ```
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PyCaret (πŸ₯ˆ30 Β· ⭐ 3.4K) - An open-source, low-code machine learning library in Python. MIT +
PyCaret (πŸ₯ˆ30 Β· ⭐ 3.5K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 740 Β· πŸ“₯ 390 Β· πŸ“¦ 910 Β· πŸ“‹ 880 - 22% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 780 Β· πŸ“₯ 400 Β· πŸ“¦ 960 Β· πŸ“‹ 890 - 15% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 67K / month Β· ⏱️ 28.04.2021): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 72K / month Β· ⏱️ 28.04.2021): ``` pip install pycaret ```
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wandb client (πŸ₯ˆ30 Β· ⭐ 2.9K) - A tool for visualizing and tracking your machine learning.. MIT +
wandb client (πŸ₯ˆ30 Β· ⭐ 3K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/client) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 210 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.1K - 27% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/wandb/client) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 220 Β· πŸ“¦ 3.2K Β· πŸ“‹ 1.1K - 28% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 380K / month Β· πŸ“¦ 78 Β· ⏱️ 07.05.2021): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 360K / month Β· πŸ“¦ 78 Β· ⏱️ 27.05.2021): ``` pip install wandb ```
AzureML SDK (πŸ₯ˆ30 Β· ⭐ 2.3K) - Python notebooks with ML and deep learning examples with Azure.. MIT -- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 1.6K Β· πŸ“₯ 410 Β· πŸ“‹ 1.1K - 13% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 1.7K Β· πŸ“₯ 420 Β· πŸ“‹ 1.1K - 14% open Β· ⏱️ 28.05.2021): ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 690K / month Β· πŸ“¦ 60 Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 630K / month Β· πŸ“¦ 60 Β· ⏱️ 24.05.2021): ``` pip install azureml-sdk ```
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kaggle (πŸ₯ˆ29 Β· ⭐ 4K) - Official Kaggle API. Apache-2 +
kaggle (πŸ₯ˆ29 Β· ⭐ 4.1K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 810 Β· πŸ“¦ 5.3K Β· πŸ“‹ 300 - 60% open Β· ⏱️ 15.03.2021): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 810 Β· πŸ“¦ 5.6K Β· πŸ“‹ 300 - 59% open Β· ⏱️ 15.03.2021): ``` git clone https://github.com/Kaggle/kaggle-api @@ -6927,75 +6894,75 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install kaggle ``` -- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 56K Β· ⏱️ 16.03.2021): +- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 59K Β· ⏱️ 16.03.2021): ``` conda install -c conda-forge kaggle ```
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sacred (πŸ₯ˆ29 Β· ⭐ 3.4K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT - -- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 320 Β· πŸ“¦ 910 Β· πŸ“‹ 500 - 18% open Β· ⏱️ 27.04.2021): - - ``` - git clone https://github.com/IDSIA/sacred - ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 23K / month Β· πŸ“¦ 150 Β· ⏱️ 14.12.2020): - ``` - pip install sacred - ``` -
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snakemake (πŸ₯ˆ29 Β· ⭐ 960) - This is the development home of the workflow management system.. MIT +
snakemake (πŸ₯ˆ29 Β· ⭐ 990) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 210 Β· πŸ“¦ 800 Β· πŸ“‹ 640 - 64% open Β· ⏱️ 08.05.2021): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 210 Β· πŸ“¦ 820 Β· πŸ“‹ 640 - 63% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 36K / month Β· πŸ“¦ 290 Β· ⏱️ 29.04.2021): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 37K / month Β· πŸ“¦ 290 Β· ⏱️ 27.05.2021): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 300K Β· ⏱️ 05.05.2021): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 300K Β· ⏱️ 27.05.2021): ``` conda install -c bioconda snakemake ```
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Catalyst (πŸ₯ˆ27 Β· ⭐ 2.6K) - Accelerated deep learning R&D. Apache-2 +
sacred (πŸ₯ˆ28 Β· ⭐ 3.5K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT -- [GitHub](https://github.com/catalyst-team/catalyst) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 310 Β· πŸ“¦ 340 Β· πŸ“‹ 300 - 3% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 320 Β· πŸ“¦ 940 Β· πŸ“‹ 500 - 18% open Β· ⏱️ 31.05.2021): ``` - git clone https://github.com/catalyst-team/catalyst + git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/catalyst) (πŸ“₯ 9.9K / month Β· πŸ“¦ 38 Β· ⏱️ 30.04.2021): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 25K / month Β· πŸ“¦ 150 Β· ⏱️ 14.12.2020): ``` - pip install catalyst + pip install sacred ```
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Metaflow (πŸ₯ˆ26 Β· ⭐ 4.3K) - Build and manage real-life data science projects with ease. Apache-2 +
Metaflow (πŸ₯ˆ27 Β· ⭐ 4.4K) - Build and manage real-life data science projects with ease. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 370 Β· πŸ“¦ 130 Β· πŸ“‹ 300 - 49% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 370 Β· πŸ“¦ 150 Β· πŸ“‹ 310 - 49% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 52K / month Β· πŸ“¦ 2 Β· ⏱️ 30.04.2021): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 95K / month Β· πŸ“¦ 2 Β· ⏱️ 27.05.2021): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 16K Β· ⏱️ 01.05.2021): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 17K Β· ⏱️ 27.05.2021): ``` conda install -c conda-forge metaflow ```
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ClearML (πŸ₯ˆ26 Β· ⭐ 2.4K) - ClearML - Auto-Magical Suite of tools to streamline your ML.. Apache-2 +
Catalyst (πŸ₯ˆ27 Β· ⭐ 2.6K) - Accelerated deep learning R&D. Apache-2 + +- [GitHub](https://github.com/catalyst-team/catalyst) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 310 Β· πŸ“¦ 350 Β· πŸ“‹ 310 - 4% open Β· ⏱️ 31.05.2021): + + ``` + git clone https://github.com/catalyst-team/catalyst + ``` +- [PyPi](https://pypi.org/project/catalyst) (πŸ“₯ 9.2K / month Β· πŸ“¦ 38 Β· ⏱️ 31.05.2021): + ``` + pip install catalyst + ``` +
+
ClearML (πŸ₯ˆ26 Β· ⭐ 2.5K) - ClearML - Auto-Magical Suite of tools to streamline your ML.. Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 350 Β· πŸ“₯ 300 Β· πŸ“¦ 35 Β· πŸ“‹ 300 - 28% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 360 Β· πŸ“₯ 300 Β· πŸ“¦ 41 Β· πŸ“‹ 320 - 29% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 19K / month Β· ⏱️ 05.05.2021): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 20K / month Β· ⏱️ 31.05.2021): ``` pip install clearml ``` @@ -7004,124 +6971,112 @@ _Libraries to organize, track, and visualize machine learning experiments._ docker pull allegroai/trains ```
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VisualDL (πŸ₯‰25 Β· ⭐ 3.9K) - Deep Learning Visualization Toolkit. Apache-2 +
VisualDL (πŸ₯‰25 Β· ⭐ 4.1K) - Deep Learning Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 540 Β· πŸ“₯ 110 Β· πŸ“¦ 330 Β· πŸ“‹ 350 - 8% open Β· ⏱️ 19.04.2021): +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 560 Β· πŸ“₯ 130 Β· πŸ“¦ 370 Β· πŸ“‹ 350 - 9% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/PaddlePaddle/VisualDL ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 12K / month Β· πŸ“¦ 10 Β· ⏱️ 29.01.2021): +- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 15K / month Β· πŸ“¦ 10 Β· ⏱️ 23.05.2021): ``` pip install visualdl ```
TNT (πŸ₯‰24 Β· ⭐ 1.3K) - 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“¦ 570 Β· πŸ“‹ 64 - 46% open Β· ⏱️ 05.01.2021): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 190 Β· πŸ“¦ 580 Β· πŸ“‹ 65 - 46% open Β· ⏱️ 05.01.2021): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 14K / month Β· πŸ“¦ 50 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 15K / month Β· πŸ“¦ 50 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
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ml-metadata (πŸ₯‰24 Β· ⭐ 320) - For recording and retrieving metadata associated with ML.. Apache-2 +
livelossplot (πŸ₯‰24 Β· ⭐ 1.1K) - Live training loss plot in Jupyter Notebook for Keras,.. MIT -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 66 Β· πŸ“₯ 1.3K Β· πŸ“¦ 110 Β· πŸ“‹ 63 - 28% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/stared/livelossplot) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 140 Β· πŸ“¦ 530 Β· πŸ“‹ 73 - 4% open Β· ⏱️ 07.02.2021): ``` - git clone https://github.com/google/ml-metadata + git clone https://github.com/stared/livelossplot ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 380K / month Β· ⏱️ 20.04.2021): +- [PyPi](https://pypi.org/project/livelossplot) (πŸ“₯ 37K / month Β· πŸ“¦ 10 Β· ⏱️ 03.02.2021): ``` - pip install ml-metadata + pip install livelossplot ```
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livelossplot (πŸ₯‰23 Β· ⭐ 1.1K) - Live training loss plot in Jupyter Notebook for Keras,.. MIT +
ml-metadata (πŸ₯‰24 Β· ⭐ 330) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/stared/livelossplot) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 140 Β· πŸ“¦ 520 Β· πŸ“‹ 73 - 4% open Β· ⏱️ 07.02.2021): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 69 Β· πŸ“₯ 1.3K Β· πŸ“¦ 120 Β· πŸ“‹ 64 - 29% open Β· ⏱️ 27.05.2021): ``` - git clone https://github.com/stared/livelossplot + git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/livelossplot) (πŸ“₯ 33K / month Β· πŸ“¦ 10 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 310K / month Β· ⏱️ 21.05.2021): ``` - pip install livelossplot + pip install ml-metadata ```
TensorWatch (πŸ₯‰22 Β· ⭐ 3.1K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT -- [GitHub](https://github.com/microsoft/tensorwatch) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 330 Β· πŸ“¦ 49 Β· πŸ“‹ 64 - 76% open Β· ⏱️ 15.01.2021): +- [GitHub](https://github.com/microsoft/tensorwatch) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 330 Β· πŸ“¦ 51 Β· πŸ“‹ 65 - 76% open Β· ⏱️ 15.01.2021): ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 3.9K / month Β· πŸ“¦ 6 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 3.6K / month Β· πŸ“¦ 6 Β· ⏱️ 04.03.2020): ``` pip install tensorwatch ```
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Guild AI (πŸ₯‰22 Β· ⭐ 580) - Experiment tracking, ML developer tools. Apache-2 +
Guild AI (πŸ₯‰22 Β· ⭐ 590) - Experiment tracking, ML developer tools. Apache-2 -- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 41 Β· πŸ“¦ 28 Β· πŸ“‹ 270 - 37% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 43 Β· πŸ“¦ 30 Β· πŸ“‹ 270 - 38% open Β· ⏱️ 07.05.2021): ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 2.4K / month Β· ⏱️ 12.04.2021): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 2.2K / month Β· ⏱️ 12.04.2021): ``` pip install guildai ```
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Studio.ml (πŸ₯‰22 Β· ⭐ 370) - 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· ⏱️ 11.05.2021): +- [GitHub](https://github.com/studioml/studio) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 52 Β· πŸ“¦ 4 Β· πŸ“‹ 250 - 22% open Β· ⏱️ 30.05.2021): ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 1.8K / month Β· ⏱️ 11.05.2021): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 1.1K / month Β· ⏱️ 30.05.2021): ``` pip install studioml ```
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quinn (πŸ₯‰21 Β· ⭐ 250) - pyspark methods to enhance developer productivity. Apache-2 - -- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 28 Β· πŸ“‹ 26 - 65% open Β· ⏱️ 09.02.2021): - - ``` - git clone https://github.com/MrPowers/quinn - ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 240K / month Β· πŸ“¦ 6 Β· ⏱️ 06.02.2021): - ``` - pip install quinn - ``` -
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lore (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT +
Labml (πŸ₯‰20 Β· ⭐ 570) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/instacart/lore) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 120 Β· πŸ“¦ 16 Β· πŸ“‹ 34 - 47% open Β· ⏱️ 11.05.2020): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 46 Β· πŸ“¦ 26 Β· πŸ“‹ 11 - 36% open Β· ⏱️ 13.05.2021): ``` - git clone https://github.com/instacart/lore + git clone https://github.com/lab-ml/labml ``` -- [PyPi](https://pypi.org/project/lore) (πŸ“₯ 690 / month Β· πŸ“¦ 1 Β· ⏱️ 11.05.2020): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 660 / month Β· ⏱️ 13.05.2021): ``` - pip install lore + pip install labml ```
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Labml (πŸ₯‰20 Β· ⭐ 560) - Monitor deep learning model training and hardware usage from your mobile.. MIT +
quinn (πŸ₯‰20 Β· ⭐ 260) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/lab-ml/labml) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 44 Β· πŸ“¦ 24 Β· πŸ“‹ 11 - 36% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 28 Β· πŸ“‹ 26 - 65% open Β· ⏱️ 09.02.2021): ``` - git clone https://github.com/lab-ml/labml + git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 930 / month Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 300K / month Β· πŸ“¦ 6 Β· ⏱️ 06.02.2021): ``` - pip install labml + pip install quinn ```
gokart (πŸ₯‰19 Β· ⭐ 180) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT @@ -7131,34 +7086,35 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/m3dev/gokart ``` -- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 770 / month Β· πŸ“¦ 2 Β· ⏱️ 25.02.2020): +- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 600 / month Β· πŸ“¦ 2 Β· ⏱️ 25.02.2020): ``` pip install gokart ```
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aim (πŸ₯‰17 Β· ⭐ 1.1K) - Aim a super-easy way to record, search and compare 1000s of ML training.. Apache-2 +
aim (πŸ₯‰17 Β· ⭐ 1.3K) - Aim a super-easy way to record, search and compare 1000s of ML training.. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 63 Β· πŸ“‹ 180 - 59% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 74 Β· πŸ“‹ 180 - 53% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 5.4K / month Β· πŸ“¦ 2 Β· ⏱️ 10.04.2021): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 5.9K / month Β· πŸ“¦ 2 Β· ⏱️ 27.05.2021): ``` pip install aim ```
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Show 9 hidden projects... +
Show 10 hidden projects... -- TensorBoard Logger (πŸ₯‰22 Β· ⭐ 610 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT -- knockknock (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT -- hiddenlayer (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT +- knockknock (πŸ₯‰22 Β· ⭐ 2.1K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT +- lore (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT +- TensorBoard Logger (πŸ₯‰21 Β· ⭐ 610 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT +- hiddenlayer (πŸ₯‰20 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 -- SKLL (πŸ₯‰18 Β· ⭐ 530) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause -- datmo (πŸ₯‰16 Β· ⭐ 330 Β· πŸ’€) - Open source production model management tool for data scientists. MIT +- SKLL (πŸ₯‰18 Β· ⭐ 520) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause +- datmo (πŸ₯‰17 Β· ⭐ 330 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₯‰14 Β· ⭐ 120) - Experiment tracking for machine and deep learning projects. BSD-2 -- traintool (πŸ₯‰11 Β· ⭐ 9) - Train off-the-shelf machine learning models in one.. Apache-2 +- traintool (πŸ₯‰10 Β· ⭐ 9) - Train off-the-shelf machine learning models in one.. Apache-2

@@ -7168,130 +7124,130 @@ _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₯‡34 Β· ⭐ 10K) - Open standard for machine learning interoperability. Apache-2 +
onnx (πŸ₯‡34 Β· ⭐ 11K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.9K Β· πŸ“₯ 14K Β· πŸ“¦ 3.1K Β· πŸ“‹ 1.6K - 34% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2K Β· πŸ“₯ 14K Β· πŸ“¦ 3.2K Β· πŸ“‹ 1.6K - 33% open Β· ⏱️ 28.05.2021): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 1.3M / month Β· πŸ“¦ 300 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 1.6M / month Β· πŸ“¦ 300 Β· ⏱️ 19.04.2021): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 230K Β· ⏱️ 08.05.2021): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 240K Β· ⏱️ 08.05.2021): ``` conda install -c conda-forge onnx ```
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TorchServe (πŸ₯‡27 Β· ⭐ 1.8K) - Model Serving on PyTorch. Apache-2 +
TorchServe (πŸ₯‡27 Β· ⭐ 1.9K) - Model Serving on PyTorch. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 280 Β· πŸ“₯ 230 Β· πŸ“¦ 46 Β· πŸ“‹ 600 - 26% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 300 Β· πŸ“₯ 300 Β· πŸ“¦ 51 Β· πŸ“‹ 610 - 19% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 8.1K / month Β· ⏱️ 15.03.2021): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 7.5K / month Β· ⏱️ 20.05.2021): ``` pip install torchserve ``` -- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 8.2K Β· ⏱️ 18.03.2021): +- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 8.9K Β· ⏱️ 21.05.2021): ``` conda install -c pytorch torchserve ``` -- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 59K Β· ⭐ 3 Β· ⏱️ 18.12.2020): +- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 61K Β· ⭐ 3 Β· ⏱️ 20.05.2021): ``` docker pull pytorch/torchserve ```
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mmdnn (πŸ₯ˆ24 Β· ⭐ 5.3K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT +
Core ML Tools (πŸ₯ˆ24 Β· ⭐ 2.2K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/microsoft/MMdnn) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 940 Β· πŸ“₯ 3.4K Β· πŸ“¦ 54 Β· πŸ“‹ 600 - 51% open Β· ⏱️ 14.08.2020): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 360 Β· πŸ“₯ 2.6K Β· πŸ“¦ 540 Β· πŸ“‹ 720 - 50% open Β· ⏱️ 20.05.2021): ``` - git clone https://github.com/Microsoft/MMdnn + git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/mmdnn) (πŸ“₯ 1.1K / month Β· πŸ“¦ 3 Β· ⏱️ 24.07.2020): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 50K / month Β· πŸ“¦ 270 Β· ⏱️ 05.02.2021): ``` - pip install mmdnn + pip install coremltools ```
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Core ML Tools (πŸ₯ˆ24 Β· ⭐ 2.2K Β· πŸ“‰) - Core ML tools contain supporting tools for Core ML model.. BSD-3 +
cortex (πŸ₯ˆ23 Β· ⭐ 7.5K) - Serverless containers on AWS. Apache-2 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 360 Β· πŸ“₯ 2.6K Β· πŸ“¦ 520 Β· πŸ“‹ 710 - 50% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/cortexlabs/cortex) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 570 Β· πŸ“‹ 1K - 12% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/apple/coremltools + git clone https://github.com/cortexlabs/cortex ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 57K / month Β· πŸ“¦ 270 Β· ⏱️ 05.02.2021): +- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 1.4K / month Β· ⏱️ 11.05.2021): ``` - pip install coremltools + pip install cortex ```
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cortex (πŸ₯ˆ23 Β· ⭐ 7.5K) - Scale compute-intensive serverless workloads. Apache-2 +
mmdnn (πŸ₯ˆ23 Β· ⭐ 5.3K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT -- [GitHub](https://github.com/cortexlabs/cortex) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 570 Β· πŸ“‹ 1K - 12% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/microsoft/MMdnn) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 940 Β· πŸ“₯ 3.4K Β· πŸ“¦ 57 Β· πŸ“‹ 600 - 52% open Β· ⏱️ 14.08.2020): ``` - git clone https://github.com/cortexlabs/cortex + git clone https://github.com/Microsoft/MMdnn ``` -- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 1.4K / month Β· ⏱️ 11.05.2021): +- [PyPi](https://pypi.org/project/mmdnn) (πŸ“₯ 1.1K / month Β· πŸ“¦ 3 Β· ⏱️ 24.07.2020): ``` - pip install cortex + pip install mmdnn ```
m2cgen (πŸ₯‰22 Β· ⭐ 1.8K) - 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”€ 150 Β· πŸ“¦ 6 Β· πŸ“‹ 81 - 44% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/BayesWitnesses/m2cgen) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 150 Β· πŸ“¦ 6 Β· πŸ“‹ 81 - 44% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/BayesWitnesses/m2cgen ``` -- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 25K / month Β· ⏱️ 18.09.2020): +- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 26K / month Β· ⏱️ 18.09.2020): ``` pip install m2cgen ```
Hummingbird (πŸ₯‰21 Β· ⭐ 2.4K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 170 Β· πŸ“₯ 110 Β· πŸ“¦ 15 Β· πŸ“‹ 210 - 25% open Β· ⏱️ 29.04.2021): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 180 Β· πŸ“₯ 120 Β· πŸ“¦ 15 Β· πŸ“‹ 210 - 24% open Β· ⏱️ 19.05.2021): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 2.8K / month Β· ⏱️ 13.04.2021): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 2.5K / month Β· ⏱️ 13.04.2021): ``` pip install hummingbird-ml ```
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pytorch2keras (πŸ₯‰19 Β· ⭐ 700) - PyTorch to Keras model convertor. MIT +
pytorch2keras (πŸ₯‰19 Β· ⭐ 710) - PyTorch to Keras model convertor. MIT -- [GitHub](https://github.com/gmalivenko/pytorch2keras) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“¦ 20 Β· πŸ“‹ 110 - 40% open Β· ⏱️ 09.05.2021): +- [GitHub](https://github.com/gmalivenko/pytorch2keras) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“¦ 21 Β· πŸ“‹ 110 - 41% open Β· ⏱️ 09.05.2021): ``` git clone https://github.com/nerox8664/pytorch2keras ``` -- [PyPi](https://pypi.org/project/pytorch2keras) (πŸ“₯ 890 / month Β· πŸ“¦ 1 Β· ⏱️ 14.05.2020): +- [PyPi](https://pypi.org/project/pytorch2keras) (πŸ“₯ 740 / month Β· πŸ“¦ 1 Β· ⏱️ 14.05.2020): ``` pip install pytorch2keras ```
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tfdeploy (πŸ₯‰15 Β· ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 +
tfdeploy (πŸ₯‰15 Β· ⭐ 340) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 - [GitHub](https://github.com/riga/tfdeploy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 38 Β· πŸ“‹ 33 - 30% open Β· ⏱️ 08.01.2021): ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 100 / month Β· πŸ“¦ 2 Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 34 / month Β· πŸ“¦ 2 Β· ⏱️ 30.03.2017): ``` pip install tfdeploy ```
Show 2 hidden projects... -- Larq Compute Engine (πŸ₯‰18 Β· ⭐ 140) - Highly optimized inference engine for Binarized.. Apache-2 -- sklearn-porter (πŸ₯‰16 Β· ⭐ 1K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. MIT +- sklearn-porter (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. MIT +- Larq Compute Engine (πŸ₯‰16 Β· ⭐ 150) - Highly optimized inference engine for Binarized.. Apache-2

@@ -7303,39 +7259,39 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡34 Β· ⭐ 13K) - 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”€ 1.8K Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.6K - 66% open Β· ⏱️ 06.04.2021): +- [GitHub](https://github.com/slundberg/shap) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.9K Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.6K - 66% open Β· ⏱️ 17.05.2021): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 2.8M / month Β· πŸ“¦ 140 Β· ⏱️ 15.01.2021): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 2.6M / month Β· πŸ“¦ 140 Β· ⏱️ 15.01.2021): ``` pip install shap ``` -- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 490K Β· ⏱️ 29.04.2021): +- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 520K Β· ⏱️ 29.04.2021): ``` conda install -c conda-forge shap ```
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Lime (πŸ₯‡29 Β· ⭐ 8.7K) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 +
Lime (πŸ₯‡29 Β· ⭐ 8.8K) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 -- [GitHub](https://github.com/marcotcr/lime) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 1.4K Β· πŸ“¦ 1.2K Β· πŸ“‹ 510 - 12% open Β· ⏱️ 12.01.2021): +- [GitHub](https://github.com/marcotcr/lime) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 1.4K Β· πŸ“¦ 1.3K Β· πŸ“‹ 510 - 12% open Β· ⏱️ 12.01.2021): ``` git clone https://github.com/marcotcr/lime ``` -- [PyPi](https://pypi.org/project/lime) (πŸ“₯ 340K / month Β· πŸ“¦ 130 Β· ⏱️ 26.06.2020): +- [PyPi](https://pypi.org/project/lime) (πŸ“₯ 300K / month Β· πŸ“¦ 130 Β· ⏱️ 26.06.2020): ``` pip install lime ``` -- [Conda](https://anaconda.org/conda-forge/lime) (πŸ“₯ 72K Β· ⏱️ 28.06.2020): +- [Conda](https://anaconda.org/conda-forge/lime) (πŸ“₯ 73K Β· ⏱️ 28.06.2020): ``` conda install -c conda-forge lime ```
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pyLDAvis (πŸ₯‡29 Β· ⭐ 1.4K) - Python library for interactive topic model visualization. Port of.. BSD-3 +
pyLDAvis (πŸ₯‡29 Β· ⭐ 1.5K) - Python library for interactive topic model visualization. Port of.. BSD-3 -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 300 Β· πŸ“¦ 2.1K Β· πŸ“‹ 150 - 50% open Β· ⏱️ 24.03.2021): +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 300 Β· πŸ“¦ 2.2K Β· πŸ“‹ 150 - 50% open Β· ⏱️ 24.03.2021): ``` git clone https://github.com/bmabey/pyLDAvis @@ -7344,171 +7300,183 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install pyldavis ``` -- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 24K Β· ⏱️ 24.03.2021): +- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 25K Β· ⏱️ 24.03.2021): ``` conda install -c conda-forge pyldavis ```
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InterpretML (πŸ₯‡27 Β· ⭐ 3.7K) - Fit interpretable models. Explain blackbox machine learning. MIT +
InterpretML (πŸ₯‡27 Β· ⭐ 3.8K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 460 Β· πŸ“¦ 78 Β· πŸ“‹ 190 - 34% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 470 Β· πŸ“¦ 82 Β· πŸ“‹ 200 - 35% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 20K / month Β· πŸ“¦ 2 Β· ⏱️ 20.01.2021): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 14K / month Β· πŸ“¦ 2 Β· ⏱️ 20.01.2021): ``` pip install interpret ```
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Model Analysis (πŸ₯‡27 Β· ⭐ 1.1K) - Model analysis tools for TensorFlow. Apache-2 +
Captum (πŸ₯‡27 Β· ⭐ 2.4K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 220 Β· πŸ“‹ 64 - 42% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 240 Β· πŸ“¦ 190 Β· πŸ“‹ 230 - 23% open Β· ⏱️ 26.05.2021): ``` - git clone https://github.com/tensorflow/model-analysis + git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 6.2M / month Β· πŸ“¦ 20 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 24K / month Β· ⏱️ 22.01.2021): ``` - pip install tensorflow-model-analysis + pip install captum ```
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Lucid (πŸ₯ˆ26 Β· ⭐ 4.2K) - A collection of infrastructure and tools for research in neural.. Apache-2 +
Model Analysis (πŸ₯‡27 Β· ⭐ 1.1K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/lucid) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 590 Β· πŸ“¦ 550 Β· πŸ“‹ 160 - 39% open Β· ⏱️ 19.03.2021): +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 220 Β· πŸ“‹ 66 - 43% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/tensorflow/lucid + git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/lucid) (πŸ“₯ 1.5K / month Β· πŸ“¦ 6 Β· ⏱️ 19.03.2021): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 5.6M / month Β· πŸ“¦ 20 Β· ⏱️ 24.05.2021): ``` - pip install lucid + pip install tensorflow-model-analysis ```
yellowbrick (πŸ₯ˆ26 Β· ⭐ 3.2K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 -- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 480 Β· πŸ“‹ 630 - 15% open Β· ⏱️ 22.04.2021): +- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 480 Β· πŸ“‹ 630 - 15% open Β· ⏱️ 17.05.2021): ``` git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 150K / month Β· πŸ“¦ 62 Β· ⏱️ 13.02.2021): +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 160K / month Β· πŸ“¦ 62 Β· ⏱️ 13.02.2021): ``` pip install yellowbrick ```
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Captum (πŸ₯ˆ26 Β· ⭐ 2.3K) - Model interpretability and understanding for PyTorch. BSD-3 +
arviz (πŸ₯ˆ26 Β· ⭐ 1K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 240 Β· πŸ“¦ 170 Β· πŸ“‹ 230 - 24% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 210 Β· πŸ“₯ 98 Β· πŸ“¦ 970 Β· πŸ“‹ 600 - 20% open Β· ⏱️ 31.05.2021): ``` - git clone https://github.com/pytorch/captum + git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 22K / month Β· ⏱️ 22.01.2021): +- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 240K / month Β· πŸ“¦ 36 Β· ⏱️ 21.02.2021): ``` - pip install captum + pip install arviz + ``` +- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 300K Β· ⏱️ 20.04.2021): + ``` + conda install -c conda-forge arviz ```
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Fairness 360 (πŸ₯ˆ26 Β· ⭐ 1.4K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 +
Lucid (πŸ₯ˆ25 Β· ⭐ 4.2K) - A collection of infrastructure and tools for research in neural.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 430 Β· πŸ“¦ 87 Β· πŸ“‹ 93 - 41% open Β· ⏱️ 10.03.2021): +- [GitHub](https://github.com/tensorflow/lucid) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 590 Β· πŸ“¦ 560 Β· πŸ“‹ 160 - 39% open Β· ⏱️ 19.03.2021): ``` - git clone https://github.com/Trusted-AI/AIF360 + git clone https://github.com/tensorflow/lucid ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 9.2K / month Β· πŸ“¦ 4 Β· ⏱️ 04.03.2021): +- [PyPi](https://pypi.org/project/lucid) (πŸ“₯ 1.3K / month Β· πŸ“¦ 6 Β· ⏱️ 19.03.2021): ``` - pip install aif360 + pip install lucid ```
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arviz (πŸ₯ˆ26 Β· ⭐ 1K) - Exploratory analysis of Bayesian models with Python. Apache-2 +
Fairness 360 (πŸ₯ˆ25 Β· ⭐ 1.4K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 210 Β· πŸ“₯ 98 Β· πŸ“¦ 880 Β· πŸ“‹ 590 - 20% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 440 Β· πŸ“¦ 96 Β· πŸ“‹ 93 - 41% open Β· ⏱️ 10.03.2021): ``` - git clone https://github.com/arviz-devs/arviz - ``` -- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 220K / month Β· πŸ“¦ 36 Β· ⏱️ 21.02.2021): - ``` - pip install arviz + git clone https://github.com/Trusted-AI/AIF360 ``` -- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 270K Β· ⏱️ 20.04.2021): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 6.8K / month Β· πŸ“¦ 4 Β· ⏱️ 04.03.2021): ``` - conda install -c conda-forge arviz + pip install aif360 ```
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DoWhy (πŸ₯ˆ24 Β· ⭐ 2.9K) - DoWhy is a Python library for causal inference that supports explicit.. MIT +
DoWhy (πŸ₯ˆ24 Β· ⭐ 3K) - DoWhy is a Python library for causal inference that supports explicit modeling.. MIT -- [GitHub](https://github.com/microsoft/dowhy) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 430 Β· πŸ“₯ 23 Β· πŸ“¦ 39 Β· πŸ“‹ 120 - 25% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/microsoft/dowhy) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 440 Β· πŸ“₯ 23 Β· πŸ“¦ 41 Β· πŸ“‹ 120 - 21% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/Microsoft/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 25K / month Β· ⏱️ 03.03.2021): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 28K / month Β· ⏱️ 03.03.2021): ``` pip install dowhy ``` -- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 1.9K Β· ⏱️ 28.04.2021): +- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 2.2K Β· ⏱️ 28.04.2021): ``` conda install -c conda-forge dowhy ```
dtreeviz (πŸ₯ˆ24 Β· ⭐ 1.5K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 200 Β· πŸ“¦ 140 Β· πŸ“‹ 94 - 18% open Β· ⏱️ 05.04.2021): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 210 Β· πŸ“¦ 160 Β· πŸ“‹ 100 - 20% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 31K / month Β· πŸ“¦ 4 Β· ⏱️ 05.04.2021): +- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 36K / month Β· πŸ“¦ 4 Β· ⏱️ 05.04.2021): ``` pip install dtreeviz ```
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Alibi (πŸ₯ˆ23 Β· ⭐ 990) - Algorithms for monitoring and explaining machine learning models. Apache-2 +
Alibi (πŸ₯ˆ23 Β· ⭐ 1K) - Algorithms for monitoring and explaining machine learning models. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 130 Β· πŸ“¦ 79 Β· πŸ“‹ 180 - 46% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 130 Β· πŸ“¦ 86 Β· πŸ“‹ 180 - 46% open Β· ⏱️ 18.05.2021): ``` git clone https://github.com/SeldonIO/alibi ``` -- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 10K / month Β· πŸ“¦ 18 Β· ⏱️ 29.04.2021): +- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 11K / month Β· πŸ“¦ 18 Β· ⏱️ 29.04.2021): ``` pip install alibi ```
keract (πŸ₯ˆ23 Β· ⭐ 880) - Layers Outputs and Gradients in Keras. Made easy. MIT -- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 180 Β· πŸ“¦ 79 Β· πŸ“‹ 79 - 3% open Β· ⏱️ 30.04.2021): +- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 180 Β· πŸ“¦ 85 Β· πŸ“‹ 80 - 3% open Β· ⏱️ 30.04.2021): ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 2K / month Β· πŸ“¦ 5 Β· ⏱️ 22.01.2021): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 1.5K / month Β· πŸ“¦ 5 Β· ⏱️ 22.01.2021): ``` pip install keract ```
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Explainability 360 (πŸ₯ˆ22 Β· ⭐ 830 Β· πŸ“ˆ) - Interpretability and explainability of data and.. Apache-2 +
checklist (πŸ₯ˆ22 Β· ⭐ 1.4K Β· πŸ“ˆ) - Beyond Accuracy: Behavioral Testing of NLP models with.. MIT + +- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 130 Β· πŸ“¦ 9 Β· πŸ“‹ 76 - 10% open Β· ⏱️ 24.05.2021): + + ``` + git clone https://github.com/marcotcr/checklist + ``` +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 2.3K / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2021): + ``` + pip install checklist + ``` +
+
Explainability 360 (πŸ₯ˆ22 Β· ⭐ 850) - Interpretability and explainability of data and machine.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 170 Β· πŸ“¦ 16 Β· πŸ“‹ 46 - 56% open Β· ⏱️ 02.05.2021): +- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 170 Β· πŸ“¦ 16 Β· πŸ“‹ 47 - 55% open Β· ⏱️ 02.05.2021): ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 28.10.2020): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 28.10.2020): ``` pip install aix360 ```
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tf-explain (πŸ₯ˆ22 Β· ⭐ 810) - Interpretability Methods for tf.keras models with Tensorflow 2.x. MIT +
tf-explain (πŸ₯ˆ22 Β· ⭐ 820) - Interpretability Methods for tf.keras models with Tensorflow 2.x. MIT -- [GitHub](https://github.com/sicara/tf-explain) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 77 Β· πŸ“¦ 72 Β· πŸ“‹ 80 - 41% open Β· ⏱️ 19.04.2021): +- [GitHub](https://github.com/sicara/tf-explain) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 77 Β· πŸ“¦ 77 Β· πŸ“‹ 80 - 41% open Β· ⏱️ 19.04.2021): ``` git clone https://github.com/sicara/tf-explain ``` -- [PyPi](https://pypi.org/project/tf-explain) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 16.02.2021): +- [PyPi](https://pypi.org/project/tf-explain) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 16.02.2021): ``` pip install tf-explain ``` @@ -7520,19 +7488,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/andosa/treeinterpreter ``` -- [PyPi](https://pypi.org/project/treeinterpreter) (πŸ“₯ 180K / month Β· πŸ“¦ 18 Β· ⏱️ 10.01.2021): +- [PyPi](https://pypi.org/project/treeinterpreter) (πŸ“₯ 170K / month Β· πŸ“¦ 18 Β· ⏱️ 10.01.2021): ``` pip install treeinterpreter ```
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explainerdashboard (πŸ₯ˆ22 Β· ⭐ 510) - Quickly build Explainable AI dashboards that show the inner.. MIT +
explainerdashboard (πŸ₯ˆ22 Β· ⭐ 540) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 59 Β· πŸ“¦ 19 Β· πŸ“‹ 96 - 6% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 66 Β· πŸ“¦ 24 Β· πŸ“‹ 96 - 5% open Β· ⏱️ 19.05.2021): ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 4.1K / month Β· ⏱️ 07.05.2021): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 4K / month Β· ⏱️ 07.05.2021): ``` pip install explainerdashboard ``` @@ -7544,67 +7512,55 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` 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“₯ 16K / month Β· πŸ“¦ 4 Β· ⏱️ 28.01.2021): ``` pip install rfpimp ```
CausalNex (πŸ₯‰21 Β· ⭐ 1.1K) - A Python library that helps data scientists to infer.. Apache-2 -- [GitHub](https://github.com/quantumblacklabs/causalnex) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 12 Β· πŸ“‹ 76 - 43% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/quantumblacklabs/causalnex) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 13 Β· πŸ“‹ 79 - 44% open Β· ⏱️ 11.05.2021): ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 3.6K / month Β· ⏱️ 11.05.2021): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 2.9K / month Β· ⏱️ 11.05.2021): ``` pip install causalnex ```
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iNNvestigate (πŸ₯‰21 Β· ⭐ 810 Β· πŸ’€) - A toolbox to iNNvestigate neural networks' predictions!. BSD-2 +
iNNvestigate (πŸ₯‰21 Β· ⭐ 820 Β· πŸ’€) - A toolbox to iNNvestigate neural networks' predictions!. BSD-2 -- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 180 Β· πŸ“¦ 57 Β· πŸ“‹ 210 - 35% open Β· ⏱️ 16.10.2020): +- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 180 Β· πŸ“¦ 58 Β· πŸ“‹ 210 - 34% open Β· ⏱️ 16.10.2020): ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 410 / month Β· πŸ“¦ 1 Β· ⏱️ 14.11.2020): - ``` - pip install innvestigate - ``` -
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aequitas (πŸ₯‰21 Β· ⭐ 380) - Bias and Fairness Audit Toolkit. MIT - -- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 72 Β· πŸ“¦ 74 Β· πŸ“‹ 56 - 62% open Β· ⏱️ 23.02.2021): - - ``` - git clone https://github.com/dssg/aequitas - ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 1K / month Β· πŸ“¦ 6 Β· ⏱️ 16.12.2020): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 510 / month Β· πŸ“¦ 1 Β· ⏱️ 14.11.2020): ``` - pip install aequitas + pip install innvestigate ```
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checklist (πŸ₯‰20 Β· ⭐ 1.4K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT +
aequitas (πŸ₯‰21 Β· ⭐ 390) - Bias and Fairness Audit Toolkit. MIT -- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 120 Β· πŸ“¦ 7 Β· πŸ“‹ 69 - 5% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 75 Β· πŸ“¦ 75 Β· πŸ“‹ 56 - 62% open Β· ⏱️ 27.05.2021): ``` - git clone https://github.com/marcotcr/checklist + git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 21.09.2020): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 1.4K / month Β· πŸ“¦ 6 Β· ⏱️ 16.12.2020): ``` - pip install checklist + pip install aequitas ```
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fairlearn (πŸ₯‰20 Β· ⭐ 790 Β· πŸ“‰) - A Python package to assess and improve fairness of machine.. MIT +
fairlearn (πŸ₯‰20 Β· ⭐ 940) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 190 Β· πŸ“‹ 230 - 42% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 210 Β· πŸ“‹ 250 - 41% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 21K / month Β· πŸ“¦ 2 Β· ⏱️ 08.05.2021): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 18K / month Β· πŸ“¦ 2 Β· ⏱️ 08.05.2021): ``` pip install fairlearn ``` @@ -7613,162 +7569,150 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge fairlearn ```
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What-If Tool (πŸ₯‰20 Β· ⭐ 510) - Source code/webpage/demos for the What-If Tool. Apache-2 +
What-If Tool (πŸ₯‰20 Β· ⭐ 530) - Source code/webpage/demos for the What-If Tool. Apache-2 -- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 100 Β· πŸ“‹ 74 - 50% open Β· ⏱️ 17.03.2021): +- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 100 Β· πŸ“‹ 76 - 50% open Β· ⏱️ 17.03.2021): ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 9.9K / month Β· ⏱️ 19.01.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 9.4K / month Β· ⏱️ 19.01.2021): ``` pip install witwidget ``` -- [NPM](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 3.1K / month Β· ⏱️ 19.01.2021): +- [NPM](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 2.7K / month Β· ⏱️ 19.01.2021): ``` npm install wit-widget ```
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sklearn-evaluation (πŸ₯‰20 Β· ⭐ 300) - Machine learning model evaluation made easy: plots,.. MIT +
sklearn-evaluation (πŸ₯‰20 Β· ⭐ 310) - Machine learning model evaluation made easy: plots,.. MIT - [GitHub](https://github.com/edublancas/sklearn-evaluation) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 27 Β· πŸ“¦ 28 Β· πŸ“‹ 37 - 24% open Β· ⏱️ 28.03.2021): ``` git clone https://github.com/edublancas/sklearn-evaluation ``` -- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 760 / month Β· πŸ“¦ 2 Β· ⏱️ 28.03.2021): +- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 680 / month Β· πŸ“¦ 2 Β· ⏱️ 28.03.2021): ``` pip install sklearn-evaluation ```
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XAI (πŸ₯‰19 Β· ⭐ 620) - XAI - An eXplainability toolbox for machine learning. MIT +
XAI (πŸ₯‰19 Β· ⭐ 630) - XAI - An eXplainability toolbox for machine learning. MIT -- [GitHub](https://github.com/EthicalML/xai) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 96 Β· πŸ“¦ 11 Β· πŸ“‹ 7 - 57% open Β· ⏱️ 23.04.2021): +- [GitHub](https://github.com/EthicalML/xai) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 98 Β· πŸ“¦ 11 Β· πŸ“‹ 7 - 57% open Β· ⏱️ 23.04.2021): ``` git clone https://github.com/EthicalML/xai ``` -- [PyPi](https://pypi.org/project/xai) (πŸ“₯ 3.3K / month Β· πŸ“¦ 6 Β· ⏱️ 21.04.2019): +- [PyPi](https://pypi.org/project/xai) (πŸ“₯ 2.7K / month Β· πŸ“¦ 6 Β· ⏱️ 21.04.2019): ``` pip install xai ```
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DiCE (πŸ₯‰19 Β· ⭐ 530) - Generate Diverse Counterfactual Explanations for any machine.. MIT +
DiCE (πŸ₯‰19 Β· ⭐ 550) - Generate Diverse Counterfactual Explanations for any machine.. MIT -- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 78 Β· πŸ“‹ 50 - 42% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 78 Β· πŸ“‹ 54 - 38% open Β· ⏱️ 24.05.2021): ``` git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 3K / month Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 5.4K / month Β· ⏱️ 10.05.2021): ``` pip install dice-ml ```
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deeplift (πŸ₯‰19 Β· ⭐ 530) - Public facing deeplift repo. MIT +
deeplift (πŸ₯‰19 Β· ⭐ 530 Β· πŸ’€) - Public facing deeplift repo. MIT -- [GitHub](https://github.com/kundajelab/deeplift) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 130 Β· πŸ“¦ 44 Β· πŸ“‹ 76 - 38% open Β· ⏱️ 11.11.2020): +- [GitHub](https://github.com/kundajelab/deeplift) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 130 Β· πŸ“¦ 46 Β· πŸ“‹ 76 - 38% open Β· ⏱️ 11.11.2020): ``` git clone https://github.com/kundajelab/deeplift ``` -- [PyPi](https://pypi.org/project/deeplift) (πŸ“₯ 740 / month Β· πŸ“¦ 4 Β· ⏱️ 11.11.2020): +- [PyPi](https://pypi.org/project/deeplift) (πŸ“₯ 710 / month Β· πŸ“¦ 4 Β· ⏱️ 11.11.2020): ``` pip install deeplift ```
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LIT (πŸ₯‰18 Β· ⭐ 2.5K) - The Language Interpretability Tool: Interactively analyze NLP models for.. Apache-2 +
imodels (πŸ₯‰19 Β· ⭐ 220) - 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“¦ 3 Β· πŸ“‹ 90 - 53% open Β· ⏱️ 05.04.2021): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 21 Β· πŸ“¦ 7 Β· ⏱️ 19.05.2021): ``` - git clone https://github.com/PAIR-code/lit + git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 380 / month Β· ⏱️ 05.04.2021): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 370 / month Β· ⏱️ 11.03.2021): ``` - pip install lit-nlp + pip install imodels ```
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tcav (πŸ₯‰18 Β· ⭐ 460) - Code for the TCAV ML interpretability project. Apache-2 +
LIT (πŸ₯‰18 Β· ⭐ 2.6K) - The Language Interpretability Tool: Interactively analyze NLP models for.. Apache-2 -- [GitHub](https://github.com/tensorflow/tcav) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 110 Β· πŸ“¦ 6 Β· πŸ“‹ 49 - 4% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 260 Β· πŸ“¦ 3 Β· πŸ“‹ 91 - 52% open Β· ⏱️ 05.04.2021): ``` - git clone https://github.com/tensorflow/tcav + git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/tcav) (πŸ“₯ 140 / month Β· πŸ“¦ 2 Β· ⏱️ 23.02.2021): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 420 / month Β· ⏱️ 05.04.2021): ``` - pip install tcav + pip install lit-nlp ```
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imodels (πŸ₯‰18 Β· ⭐ 210) - Interpretable ML package for concise, transparent, and accurate predictive.. MIT +
tcav (πŸ₯‰18 Β· ⭐ 460) - Code for the TCAV ML interpretability project. Apache-2 -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 20 Β· πŸ“¦ 7 Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/tensorflow/tcav) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 110 Β· πŸ“¦ 6 Β· πŸ“‹ 50 - 6% open Β· ⏱️ 07.05.2021): ``` - git clone https://github.com/csinva/imodels + git clone https://github.com/tensorflow/tcav ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 320 / month Β· ⏱️ 11.03.2021): +- [PyPi](https://pypi.org/project/tcav) (πŸ“₯ 110 / month Β· πŸ“¦ 2 Β· ⏱️ 23.02.2021): ``` - pip install imodels + pip install tcav ```
fairness-indicators (πŸ₯‰18 Β· ⭐ 200) - Tensorflow's Fairness Evaluation and Visualization.. Apache-2 -- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 56 Β· πŸ“‹ 20 - 65% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 59 Β· πŸ“‹ 22 - 68% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 740 / month Β· ⏱️ 08.04.2021): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 840 / month Β· ⏱️ 25.05.2021): ``` pip install fairness-indicators ```
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model-card-toolkit (πŸ₯‰17 Β· ⭐ 190) - a tool that leverages rich metadata and lineage.. Apache-2 +
model-card-toolkit (πŸ₯‰17 Β· ⭐ 200) - a tool that leverages rich metadata and lineage.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-card-toolkit) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 29 Β· πŸ“¦ 2 Β· πŸ“‹ 14 - 85% open Β· ⏱️ 03.05.2021): +- [GitHub](https://github.com/tensorflow/model-card-toolkit) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 28 Β· πŸ“¦ 2 Β· πŸ“‹ 14 - 85% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 320 / month Β· ⏱️ 05.02.2021): +- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 280 / month Β· ⏱️ 05.02.2021): ``` pip install model-card-toolkit ```
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FlashTorch (πŸ₯‰16 Β· ⭐ 590) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT +
FlashTorch (πŸ₯‰16 Β· ⭐ 600) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT -- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 67 Β· πŸ“¦ 6 Β· πŸ“‹ 30 - 30% open Β· ⏱️ 27.04.2021): +- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 68 Β· πŸ“¦ 6 Β· πŸ“‹ 30 - 30% open Β· ⏱️ 27.04.2021): ``` git clone https://github.com/MisaOgura/flashtorch ``` -- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 230 / month Β· ⏱️ 29.05.2020): +- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 210 / month Β· ⏱️ 29.05.2020): ``` pip install flashtorch ```
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LOFO (πŸ₯‰16 Β· ⭐ 320 Β· πŸ’€) - Leave One Feature Out Importance. MIT - -- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 40 Β· πŸ“¦ 4 Β· πŸ“‹ 12 - 16% open Β· ⏱️ 02.07.2020): - - ``` - git clone https://github.com/aerdem4/lofo-importance - ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 150 / month Β· ⏱️ 02.07.2020): - ``` - pip install lofo-importance - ``` -
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ExplainX.ai (πŸ₯‰16 Β· ⭐ 200) - Explainable AI framework for data scientists. Explain & debug any.. MIT +
ExplainX.ai (πŸ₯‰16 Β· ⭐ 210) - Explainable AI framework for data scientists. Explain & debug any.. MIT - [GitHub](https://github.com/explainX/explainx) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 34 Β· πŸ“₯ 1 Β· πŸ“‹ 27 - 37% open Β· ⏱️ 02.02.2021): ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 660 / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 720 / month Β· ⏱️ 04.02.2021): ``` pip install explainx ``` @@ -7780,21 +7724,33 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/anchor ``` -- [PyPi](https://pypi.org/project/anchor_exp) (πŸ“₯ 540 / month Β· ⏱️ 26.06.2020): +- [PyPi](https://pypi.org/project/anchor_exp) (πŸ“₯ 450 / month Β· ⏱️ 26.06.2020): ``` pip install anchor_exp ```
+
LOFO (πŸ₯‰15 Β· ⭐ 330 Β· πŸ’€) - Leave One Feature Out Importance. MIT + +- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 41 Β· πŸ“¦ 4 Β· πŸ“‹ 12 - 16% open Β· ⏱️ 02.07.2020): + + ``` + git clone https://github.com/aerdem4/lofo-importance + ``` +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 130 / month Β· ⏱️ 02.07.2020): + ``` + pip install lofo-importance + ``` +
Show 8 hidden projects... - eli5 (πŸ₯‡27 Β· ⭐ 2.4K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - scikit-plot (πŸ₯ˆ25 Β· ⭐ 2.1K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT - keras-vis (πŸ₯ˆ24 Β· ⭐ 2.8K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT -- DALEX (πŸ₯‰20 Β· ⭐ 820) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 -- Skater (πŸ₯‰19 Β· ⭐ 970 Β· πŸ’€) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- contextual-ai (πŸ₯‰16 Β· ⭐ 68) - Contextual AI adds explainability to different stages of.. Apache-2 -- Attribution Priors (πŸ₯‰14 Β· ⭐ 74) - Tools for training explainable models using.. MIT -- bias-detector (πŸ₯‰13 Β· ⭐ 21 Β· 🐣) - Bias Detector is a python package for detecting bias in machine.. MIT +- DALEX (πŸ₯‰20 Β· ⭐ 830) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 +- Skater (πŸ₯‰19 Β· ⭐ 980 Β· πŸ’€) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 +- contextual-ai (πŸ₯‰15 Β· ⭐ 69) - Contextual AI adds explainability to different stages of.. Apache-2 +- Attribution Priors (πŸ₯‰13 Β· ⭐ 78) - Tools for training explainable models using.. MIT +- bias-detector (πŸ₯‰12 Β· ⭐ 32 Β· 🐣) - Bias Detector is a python package for detecting bias in machine.. MIT

@@ -7804,48 +7760,48 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search._ -πŸ”— ANN Benchmarks ( ⭐ 2.2K) - Benchmarks of approximate nearest neighbor libraries in Python. +πŸ”— ANN Benchmarks ( ⭐ 2.3K) - Benchmarks of approximate nearest neighbor libraries in Python. -
Annoy (πŸ₯‡30 Β· ⭐ 8.5K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 +
Annoy (πŸ₯‡30 Β· ⭐ 8.6K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 -- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 900 Β· πŸ“¦ 1.6K Β· πŸ“‹ 310 - 12% open Β· ⏱️ 03.12.2020): +- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 900 Β· πŸ“¦ 1.6K Β· πŸ“‹ 310 - 11% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 750K / month Β· πŸ“¦ 360 Β· ⏱️ 18.09.2020): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 600K / month Β· πŸ“¦ 360 Β· ⏱️ 18.09.2020): ``` pip install annoy ```
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Faiss (πŸ₯‡29 Β· ⭐ 13K) - A library for efficient similarity search and clustering of dense vectors. MIT +
Faiss (πŸ₯‡29 Β· ⭐ 14K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 2.2K Β· πŸ“¦ 360 Β· πŸ“‹ 1.5K - 8% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 2.2K Β· πŸ“¦ 390 Β· πŸ“‹ 1.5K - 8% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 29.04.2021): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 16K / month Β· πŸ“¦ 6 Β· ⏱️ 28.05.2021): ``` pip install pymilvus ``` -- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 92K Β· ⏱️ 19.04.2021): +- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 110K Β· ⏱️ 19.04.2021): ``` conda install -c conda-forge faiss ```
NMSLIB (πŸ₯‡29 Β· ⭐ 2.4K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 -- [GitHub](https://github.com/nmslib/nmslib) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 340 Β· πŸ“¦ 370 Β· πŸ“‹ 360 - 11% open Β· ⏱️ 16.03.2021): +- [GitHub](https://github.com/nmslib/nmslib) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 350 Β· πŸ“¦ 390 Β· πŸ“‹ 370 - 11% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/nmslib/nmslib ``` -- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 76K / month Β· πŸ“¦ 52 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 82K / month Β· πŸ“¦ 52 Β· ⏱️ 03.02.2021): ``` pip install nmslib ``` -- [Conda](https://anaconda.org/conda-forge/nmslib) (πŸ“₯ 27K Β· ⏱️ 08.01.2021): +- [Conda](https://anaconda.org/conda-forge/nmslib) (πŸ“₯ 29K Β· ⏱️ 08.01.2021): ``` conda install -c conda-forge nmslib ``` @@ -7857,58 +7813,58 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 39K / month Β· πŸ“¦ 2 Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 35K / month Β· πŸ“¦ 2 Β· ⏱️ 04.02.2021): ``` pip install hnswlib ```
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Milvus (πŸ₯ˆ25 Β· ⭐ 6.1K) - An open source embedding vector similarity search engine powered by.. Apache-2 +
Milvus (πŸ₯ˆ25 Β· ⭐ 6.3K) - An open source vector database powered by Faiss, NMSLIB and Annoy. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 890 Β· πŸ“‹ 2.3K - 7% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 900 Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 29.04.2021): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 16K / month Β· πŸ“¦ 6 Β· ⏱️ 28.05.2021): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 330K Β· ⭐ 11 Β· ⏱️ 07.05.2021): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 350K Β· ⭐ 11 Β· ⏱️ 07.05.2021): ``` docker pull milvusdb/milvus ```
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PyNNDescent (πŸ₯ˆ25 Β· ⭐ 390) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 +
PyNNDescent (πŸ₯ˆ25 Β· ⭐ 400) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 50 Β· πŸ“¦ 450 Β· πŸ“‹ 64 - 43% open Β· ⏱️ 12.03.2021): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 50 Β· πŸ“¦ 510 Β· πŸ“‹ 64 - 43% open Β· ⏱️ 20.05.2021): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 380K / month Β· πŸ“¦ 6 Β· ⏱️ 08.02.2021): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 370K / month Β· πŸ“¦ 6 Β· ⏱️ 08.02.2021): ``` pip install pynndescent ``` -- [Conda](https://anaconda.org/conda-forge/pynndescent) (πŸ“₯ 120K Β· ⏱️ 09.02.2021): +- [Conda](https://anaconda.org/conda-forge/pynndescent) (πŸ“₯ 140K Β· ⏱️ 09.02.2021): ``` conda install -c conda-forge pynndescent ```
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Magnitude (πŸ₯‰23 Β· ⭐ 1.4K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT +
Magnitude (πŸ₯‰22 Β· ⭐ 1.4K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT -- [GitHub](https://github.com/plasticityai/magnitude) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 100 Β· πŸ“¦ 190 Β· πŸ“‹ 77 - 35% open Β· ⏱️ 17.07.2020): +- [GitHub](https://github.com/plasticityai/magnitude) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 100 Β· πŸ“¦ 190 Β· πŸ“‹ 78 - 35% open Β· ⏱️ 17.07.2020): ``` git clone https://github.com/plasticityai/magnitude ``` -- [PyPi](https://pypi.org/project/pymagnitude) (πŸ“₯ 8.4K / month Β· πŸ“¦ 14 Β· ⏱️ 25.05.2020): +- [PyPi](https://pypi.org/project/pymagnitude) (πŸ“₯ 7.6K / month Β· πŸ“¦ 14 Β· ⏱️ 25.05.2020): ``` pip install pymagnitude ```
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NGT (πŸ₯‰20 Β· ⭐ 710) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 +
NGT (πŸ₯‰20 Β· ⭐ 740) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 -- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 74 Β· πŸ“‹ 81 - 8% open Β· ⏱️ 14.04.2021): +- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 75 Β· πŸ“‹ 81 - 8% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/yahoojapan/NGT @@ -7918,22 +7874,22 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit pip install ngt ```
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N2 (πŸ₯‰19 Β· ⭐ 470 Β· πŸ’€) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2 +
N2 (πŸ₯‰20 Β· ⭐ 480) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast.. Apache-2 -- [GitHub](https://github.com/kakao/n2) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 53 Β· πŸ“¦ 15 Β· πŸ“‹ 39 - 43% open Β· ⏱️ 21.10.2020): +- [GitHub](https://github.com/kakao/n2) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 53 Β· πŸ“¦ 15 Β· πŸ“‹ 39 - 43% open Β· ⏱️ 20.05.2021): ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 2.5K / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 1.9K / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ```
Show 2 hidden projects... -- NearPy (πŸ₯‰20 Β· ⭐ 670 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT -- PySparNN (πŸ₯‰11 Β· ⭐ 870 Β· πŸ’€) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3 +- 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

@@ -7943,14 +7899,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit _Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._ -
PyMC3 (πŸ₯‡32 Β· ⭐ 5.7K) - Probabilistic Programming in Python: Bayesian Modeling and.. Apache-2 +
PyMC3 (πŸ₯‡32 Β· ⭐ 5.8K) - Probabilistic Programming in Python: Bayesian Modeling and.. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc3) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.4K Β· πŸ“₯ 160 Β· πŸ“¦ 2.5K Β· πŸ“‹ 2.2K - 8% open Β· ⏱️ 05.04.2021): +- [GitHub](https://github.com/pymc-devs/pymc3) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.4K Β· πŸ“₯ 160 Β· πŸ“¦ 2.6K Β· πŸ“‹ 2.3K - 8% open Β· ⏱️ 05.04.2021): ``` git clone https://github.com/pymc-devs/pymc3 ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 210K / month Β· πŸ“¦ 290 Β· ⏱️ 14.03.2021): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 240K / month Β· πŸ“¦ 290 Β· ⏱️ 14.03.2021): ``` pip install pymc3 ``` @@ -7961,123 +7917,123 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (πŸ₯‡32 Β· ⭐ 3.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 880 Β· πŸ“¦ 2 Β· πŸ“‹ 1K - 44% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 890 Β· πŸ“¦ 2 Β· πŸ“‹ 1K - 44% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.2M / month Β· πŸ“¦ 250 Β· ⏱️ 29.12.2020): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.4M / month Β· πŸ“¦ 250 Β· ⏱️ 21.05.2021): ``` pip install tensorflow-probability ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (πŸ“₯ 35K Β· ⏱️ 30.04.2021): +- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (πŸ“₯ 36K Β· ⏱️ 30.04.2021): ``` conda install -c conda-forge tensorflow-probability ```
GPyTorch (πŸ₯‡29 Β· ⭐ 2.4K) - A highly efficient and modular implementation of Gaussian Processes.. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 340 Β· πŸ“¦ 280 Β· πŸ“‹ 900 - 22% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 350 Β· πŸ“¦ 300 Β· πŸ“‹ 930 - 24% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 60K / month Β· πŸ“¦ 8 Β· ⏱️ 15.04.2021): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 61K / month Β· πŸ“¦ 8 Β· ⏱️ 18.05.2021): ``` pip install gpytorch ```
hmmlearn (πŸ₯‡29 Β· ⭐ 2.3K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 650 Β· πŸ“¦ 970 Β· πŸ“‹ 360 - 18% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 650 Β· πŸ“¦ 990 Β· πŸ“‹ 360 - 18% open Β· ⏱️ 11.05.2021): ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 150K / month Β· πŸ“¦ 210 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 120K / month Β· πŸ“¦ 210 Β· ⏱️ 03.02.2021): ``` pip install hmmlearn ``` -- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 79K Β· ⏱️ 04.02.2021): +- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 82K Β· ⏱️ 04.02.2021): ``` conda install -c conda-forge hmmlearn ```
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Pyro (πŸ₯ˆ28 Β· ⭐ 6.9K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 +
Pyro (πŸ₯ˆ28 Β· ⭐ 7K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 830 Β· πŸ“¦ 440 Β· πŸ“‹ 840 - 16% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 850 Β· πŸ“¦ 460 Β· πŸ“‹ 860 - 19% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 34K / month Β· πŸ“¦ 36 Β· ⏱️ 04.03.2021): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 40K / month Β· πŸ“¦ 36 Β· ⏱️ 04.03.2021): ``` pip install pyro-ppl ```
filterpy (πŸ₯ˆ28 Β· ⭐ 1.8K) - Python Kalman filtering and optimal estimation library. Implements.. MIT -- [GitHub](https://github.com/rlabbe/filterpy) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 420 Β· πŸ“¦ 840 Β· πŸ“‹ 180 - 17% open Β· ⏱️ 04.05.2021): +- [GitHub](https://github.com/rlabbe/filterpy) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 430 Β· πŸ“¦ 870 Β· πŸ“‹ 180 - 17% open Β· ⏱️ 04.05.2021): ``` git clone https://github.com/rlabbe/filterpy ``` -- [PyPi](https://pypi.org/project/filterpy) (πŸ“₯ 96K / month Β· πŸ“¦ 210 Β· ⏱️ 10.10.2018): +- [PyPi](https://pypi.org/project/filterpy) (πŸ“₯ 440K / month Β· πŸ“¦ 210 Β· ⏱️ 10.10.2018): ``` pip install filterpy ``` -- [Conda](https://anaconda.org/conda-forge/filterpy) (πŸ“₯ 61K Β· ⏱️ 05.05.2020): +- [Conda](https://anaconda.org/conda-forge/filterpy) (πŸ“₯ 62K Β· ⏱️ 05.05.2020): ``` conda install -c conda-forge filterpy ```
pomegranate (πŸ₯ˆ27 Β· ⭐ 2.7K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT -- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 480 Β· πŸ“¦ 450 Β· πŸ“‹ 610 - 8% open Β· ⏱️ 04.05.2021): +- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 490 Β· πŸ“¦ 460 Β· πŸ“‹ 610 - 8% open Β· ⏱️ 04.05.2021): ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 41K / month Β· πŸ“¦ 56 Β· ⏱️ 29.03.2021): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 42K / month Β· πŸ“¦ 56 Β· ⏱️ 29.03.2021): ``` pip install pomegranate ``` -- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 57K Β· ⏱️ 01.11.2020): +- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 59K Β· ⏱️ 01.11.2020): ``` conda install -c conda-forge pomegranate ```
GPflow (πŸ₯ˆ27 Β· ⭐ 1.4K) - Gaussian processes in TensorFlow. Apache-2 -- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 400 Β· πŸ“¦ 250 Β· πŸ“‹ 710 - 14% open Β· ⏱️ 29.04.2021): +- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 400 Β· πŸ“¦ 260 Β· πŸ“‹ 710 - 14% open Β· ⏱️ 17.05.2021): ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 4.8K / month Β· πŸ“¦ 34 Β· ⏱️ 29.04.2021): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 4.7K / month Β· πŸ“¦ 34 Β· ⏱️ 29.04.2021): ``` pip install gpflow ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 8.9K Β· ⏱️ 06.11.2018): +- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 9K Β· ⏱️ 06.11.2018): ``` conda install -c conda-forge gpflow ```
pgmpy (πŸ₯‰25 Β· ⭐ 1.8K) - Python Library for learning (Structure and Parameter) and inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 570 Β· πŸ“₯ 75 Β· πŸ“¦ 220 Β· πŸ“‹ 740 - 31% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 570 Β· πŸ“₯ 75 Β· πŸ“¦ 230 Β· πŸ“‹ 740 - 31% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 28K / month Β· πŸ“¦ 12 Β· ⏱️ 31.03.2021): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 30K / month Β· πŸ“¦ 12 Β· ⏱️ 31.03.2021): ``` pip install pgmpy ```
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SALib (πŸ₯‰24 Β· ⭐ 460) - Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris,.. MIT +
SALib (πŸ₯‰24 Β· ⭐ 470) - Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris,.. MIT -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 150 Β· πŸ“‹ 230 - 16% open Β· ⏱️ 03.05.2021): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 150 Β· πŸ“‹ 230 - 16% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/SALib/SALib @@ -8086,55 +8042,55 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install salib ``` -- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 63K Β· ⏱️ 24.10.2020): +- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 64K Β· ⏱️ 24.10.2020): ``` conda install -c conda-forge salib ```
scikit-posthocs (πŸ₯‰21 Β· ⭐ 200) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT -- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 22 Β· πŸ“₯ 19 Β· πŸ“‹ 41 - 9% open Β· ⏱️ 15.03.2021): +- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 22 Β· πŸ“₯ 19 Β· πŸ“‹ 41 - 9% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 18K / month Β· πŸ“¦ 6 Β· ⏱️ 15.03.2021): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 28K / month Β· πŸ“¦ 6 Β· ⏱️ 15.03.2021): ``` pip install scikit-posthocs ```
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bambi (πŸ₯‰20 Β· ⭐ 610) - BAyesian Model-Building Interface (Bambi) in Python. MIT +
bambi (πŸ₯‰20 Β· ⭐ 630) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 52 Β· πŸ“¦ 13 Β· πŸ“‹ 170 - 16% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 54 Β· πŸ“¦ 13 Β· πŸ“‹ 180 - 17% open Β· ⏱️ 26.05.2021): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 330 / month Β· πŸ“¦ 3 Β· ⏱️ 06.04.2021): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 340 / month Β· πŸ“¦ 3 Β· ⏱️ 16.05.2021): ``` pip install bambi ```
pyhsmm (πŸ₯‰20 Β· ⭐ 490 Β· πŸ’€) - Bayesian inference in HSMMs and HMMs. MIT -- [GitHub](https://github.com/mattjj/pyhsmm) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 150 Β· πŸ“¦ 18 Β· πŸ“‹ 94 - 36% open Β· ⏱️ 24.08.2020): +- [GitHub](https://github.com/mattjj/pyhsmm) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 160 Β· πŸ“¦ 19 Β· πŸ“‹ 99 - 39% open Β· ⏱️ 24.08.2020): ``` git clone https://github.com/mattjj/pyhsmm ``` -- [PyPi](https://pypi.org/project/pyhsmm) (πŸ“₯ 260 / month Β· πŸ“¦ 8 Β· ⏱️ 10.05.2017): +- [PyPi](https://pypi.org/project/pyhsmm) (πŸ“₯ 220 / month Β· πŸ“¦ 8 Β· ⏱️ 10.05.2017): ``` pip install pyhsmm ```
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Orbit (πŸ₯‰19 Β· ⭐ 400) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 +
Orbit (πŸ₯‰19 Β· ⭐ 540) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 29 Β· πŸ“¦ 4 Β· πŸ“‹ 200 - 9% open Β· ⏱️ 28.04.2021): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 35 Β· πŸ“¦ 4 Β· πŸ“‹ 210 - 9% open Β· ⏱️ 01.06.2021): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 380 / month Β· ⏱️ 03.04.2021): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 800 / month Β· ⏱️ 03.04.2021): ``` pip install orbit-ml ``` @@ -8146,19 +8102,19 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pyro-ppl/funsor ``` -- [PyPi](https://pypi.org/project/funsor) (πŸ“₯ 470 / month Β· ⏱️ 24.01.2021): +- [PyPi](https://pypi.org/project/funsor) (πŸ“₯ 350 / month Β· ⏱️ 24.01.2021): ``` pip install funsor ```
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Baal (πŸ₯‰18 Β· ⭐ 350) - Using approximate bayesian posteriors in deep nets for active learning. Apache-2 +
Baal (πŸ₯‰18 Β· ⭐ 360) - Using approximate bayesian posteriors in deep nets for active learning. Apache-2 -- [GitHub](https://github.com/ElementAI/baal) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 32 Β· πŸ“¦ 8 Β· πŸ“‹ 44 - 29% open Β· ⏱️ 22.04.2021): +- [GitHub](https://github.com/ElementAI/baal) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 33 Β· πŸ“¦ 8 Β· πŸ“‹ 44 - 25% open Β· ⏱️ 20.05.2021): ``` git clone https://github.com/ElementAI/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 270 / month Β· ⏱️ 16.03.2021): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 310 / month Β· ⏱️ 16.03.2021): ``` pip install baal ``` @@ -8167,8 +8123,8 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes - patsy (πŸ₯ˆ28 Β· ⭐ 750 Β· πŸ’€) - Describing statistical models in Python using symbolic formulas. BSD-2 - Edward (πŸ₯‰25 Β· ⭐ 4.6K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 -- pingouin (πŸ₯‰23 Β· ⭐ 720) - Statistical package in Python based on Pandas. ❗️GPL-3.0 -- PyStan (πŸ₯‰22 Β· ⭐ 71) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC +- pingouin (πŸ₯‰23 Β· ⭐ 740) - Statistical package in Python based on Pandas. ❗️GPL-3.0 +- PyStan (πŸ₯‰22 Β· ⭐ 87) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC - ZhuSuan (πŸ₯‰14 Β· ⭐ 2K Β· πŸ’€) - A probabilistic programming library for Bayesian deep learning,.. MIT

@@ -8181,79 +8137,79 @@ _Libraries for testing the robustness of machine learning models against attacks
CleverHans (πŸ₯‡27 Β· ⭐ 5.1K) - An adversarial example library for constructing attacks,.. MIT -- [GitHub](https://github.com/cleverhans-lab/cleverhans) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“¦ 210 Β· πŸ“‹ 440 - 5% open Β· ⏱️ 20.04.2021): +- [GitHub](https://github.com/cleverhans-lab/cleverhans) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“¦ 220 Β· πŸ“‹ 440 - 5% open Β· ⏱️ 20.04.2021): ``` git clone https://github.com/cleverhans-lab/cleverhans ``` -- [PyPi](https://pypi.org/project/cleverhans) (πŸ“₯ 830 / month Β· πŸ“¦ 16 Β· ⏱️ 28.04.2021): +- [PyPi](https://pypi.org/project/cleverhans) (πŸ“₯ 870 / month Β· πŸ“¦ 16 Β· ⏱️ 28.04.2021): ``` pip install cleverhans ```
Foolbox (πŸ₯‡27 Β· ⭐ 1.9K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT -- [GitHub](https://github.com/bethgelab/foolbox) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 350 Β· πŸ“¦ 190 Β· πŸ“‹ 320 - 18% open Β· ⏱️ 03.05.2021): +- [GitHub](https://github.com/bethgelab/foolbox) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 350 Β· πŸ“¦ 200 Β· πŸ“‹ 320 - 18% open Β· ⏱️ 03.05.2021): ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 1.9K / month Β· πŸ“¦ 18 Β· ⏱️ 23.02.2021): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 1.7K / month Β· πŸ“¦ 18 Β· ⏱️ 23.02.2021): ``` pip install foolbox ```
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TextAttack (πŸ₯ˆ25 Β· ⭐ 1.4K) - TextAttack is a Python framework for adversarial attacks, data.. MIT +
TextAttack (πŸ₯ˆ25 Β· ⭐ 1.5K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 170 Β· πŸ“¦ 23 Β· πŸ“‹ 140 - 40% open Β· ⏱️ 23.04.2021): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 180 Β· πŸ“¦ 26 Β· πŸ“‹ 130 - 33% open Β· ⏱️ 30.05.2021): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 3.2K / month Β· ⏱️ 27.12.2020): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 3.2K / month Β· ⏱️ 24.05.2021): ``` pip install textattack ```
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ART (πŸ₯‰23 Β· ⭐ 2.2K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT +
ART (πŸ₯‰23 Β· ⭐ 2.3K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 620 Β· πŸ“¦ 120 Β· πŸ“‹ 510 - 15% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 630 Β· πŸ“¦ 120 Β· πŸ“‹ 540 - 14% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 5.2K / month Β· ⏱️ 16.03.2021): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 5.5K / month Β· ⏱️ 20.05.2021): ``` pip install adversarial-robustness-toolbox ```
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robustness (πŸ₯‰19 Β· ⭐ 530) - A library for experimenting with, training and evaluating neural.. MIT +
robustness (πŸ₯‰18 Β· ⭐ 540) - A library for experimenting with, training and evaluating neural.. MIT -- [GitHub](https://github.com/MadryLab/robustness) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 98 Β· πŸ“¦ 46 Β· πŸ“‹ 60 - 13% open Β· ⏱️ 04.03.2021): +- [GitHub](https://github.com/MadryLab/robustness) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 100 Β· πŸ“¦ 53 Β· πŸ“‹ 61 - 14% open Β· ⏱️ 04.03.2021): ``` git clone https://github.com/MadryLab/robustness ``` -- [PyPi](https://pypi.org/project/robustness) (πŸ“₯ 370 / month Β· πŸ“¦ 2 Β· ⏱️ 01.12.2020): +- [PyPi](https://pypi.org/project/robustness) (πŸ“₯ 410 / month Β· πŸ“¦ 2 Β· ⏱️ 01.12.2020): ``` pip install robustness ```
AdvBox (πŸ₯‰17 Β· ⭐ 1.1K) - Advbox is a toolbox to generate adversarial examples that fool neural.. Apache-2 -- [GitHub](https://github.com/advboxes/AdvBox) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“‹ 36 - 22% open Β· ⏱️ 03.05.2021): +- [GitHub](https://github.com/advboxes/AdvBox) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“‹ 37 - 21% open Β· ⏱️ 03.05.2021): ``` git clone https://github.com/advboxes/AdvBox ``` -- [PyPi](https://pypi.org/project/advbox) (πŸ“₯ 57 / month Β· ⏱️ 05.12.2018): +- [PyPi](https://pypi.org/project/advbox) (πŸ“₯ 67 / month Β· ⏱️ 05.12.2018): ``` pip install advbox ```
Show 2 hidden projects... -- advertorch (πŸ₯‰19 Β· ⭐ 860 Β· πŸ’€) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 +- advertorch (πŸ₯‰19 Β· ⭐ 870 Β· πŸ’€) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 - Adversary (πŸ₯‰14 Β· ⭐ 350 Β· πŸ’€) - Tool to generate adversarial text examples and test machine.. MIT

@@ -8264,125 +8220,125 @@ _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· ⭐ 5.1K) - A NumPy-compatible array library accelerated by CUDA. MIT +
CuPy (πŸ₯‡32 Β· ⭐ 5.2K) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 470 Β· πŸ“₯ 16K Β· πŸ“¦ 730 Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 470 Β· πŸ“₯ 16K Β· πŸ“¦ 740 Β· πŸ“‹ 1.4K - 24% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 85K / month Β· πŸ“¦ 190 Β· ⏱️ 22.04.2021): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 77K / month Β· πŸ“¦ 190 Β· ⏱️ 27.05.2021): ``` pip install cupy ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 580K Β· ⏱️ 30.04.2021): +- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 640K Β· ⏱️ 02.06.2021): ``` conda install -c conda-forge cupy ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 50K Β· ⭐ 6 Β· ⏱️ 12.05.2021): +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 51K Β· ⭐ 6 Β· ⏱️ 03.06.2021): ``` docker pull cupy/cupy ```
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gpustat (πŸ₯‡27 Β· ⭐ 2.4K) - A simple command-line utility for querying and monitoring GPU status. MIT +
gpustat (πŸ₯‡26 Β· ⭐ 2.4K) - 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“¦ 860 Β· πŸ“‹ 68 - 27% open Β· ⏱️ 23.03.2021): +- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 200 Β· πŸ“¦ 910 Β· πŸ“‹ 68 - 27% open Β· ⏱️ 23.03.2021): ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 380K / 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“₯ 57K Β· ⏱️ 24.11.2020): +- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 63K Β· ⏱️ 24.11.2020): ``` conda install -c conda-forge gpustat ```
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PyCUDA (πŸ₯ˆ25 Β· ⭐ 1.1K) - CUDA integration for Python, plus shiny features. MIT +
PyCUDA (πŸ₯ˆ25 Β· ⭐ 1.2K) - CUDA integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 230 Β· πŸ“¦ 840 Β· πŸ“‹ 190 - 28% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 230 Β· πŸ“¦ 870 Β· πŸ“‹ 190 - 28% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 50K / month Β· πŸ“¦ 290 Β· ⏱️ 03.04.2021): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 32K / month Β· πŸ“¦ 290 Β· ⏱️ 03.04.2021): ``` pip install pycuda ```
ArrayFire (πŸ₯ˆ24 Β· ⭐ 3.5K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 480 Β· πŸ“₯ 1.1K Β· πŸ“‹ 1.5K - 16% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 480 Β· πŸ“₯ 1.3K Β· πŸ“‹ 1.5K - 16% open Β· ⏱️ 21.05.2021): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1.2K / month Β· πŸ“¦ 8 Β· ⏱️ 05.03.2021): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1.4K / month Β· πŸ“¦ 8 Β· ⏱️ 05.03.2021): ``` pip install arrayfire ```
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Apex (πŸ₯ˆ23 Β· ⭐ 5.3K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 +
Apex (πŸ₯ˆ23 Β· ⭐ 5.4K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 730 Β· πŸ“¦ 550 Β· πŸ“‹ 840 - 55% open Β· ⏱️ 19.04.2021): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 730 Β· πŸ“¦ 570 Β· πŸ“‹ 840 - 55% open Β· ⏱️ 26.05.2021): ``` git clone https://github.com/NVIDIA/apex ``` -- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 45K Β· ⏱️ 22.04.2021): +- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 48K Β· ⏱️ 22.04.2021): ``` conda install -c conda-forge nvidia-apex ```
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scikit-cuda (πŸ₯ˆ23 Β· ⭐ 820) - Python interface to GPU-powered libraries. BSD-3 - -- [GitHub](https://github.com/lebedov/scikit-cuda) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 160 Β· πŸ“¦ 130 Β· πŸ“‹ 210 - 20% open Β· ⏱️ 30.03.2021): - - ``` - git clone https://github.com/lebedov/scikit-cuda - ``` -- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 910 / month Β· πŸ“¦ 70 Β· ⏱️ 27.05.2019): - ``` - pip install scikit-cuda - ``` -
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cuDF (πŸ₯‰22 Β· ⭐ 3.9K) - cuDF - GPU DataFrame Library. Apache-2 +
cuDF (πŸ₯ˆ22 Β· ⭐ 4K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 520 Β· πŸ“‹ 3.7K - 16% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 520 Β· πŸ“‹ 3.7K - 16% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 1.5K / 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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DALI (πŸ₯‰20 Β· ⭐ 3.3K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 +
scikit-cuda (πŸ₯ˆ22 Β· ⭐ 830) - Python interface to GPU-powered libraries. BSD-3 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 390 Β· πŸ“‹ 980 - 17% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/lebedov/scikit-cuda) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 160 Β· πŸ“¦ 130 Β· πŸ“‹ 210 - 20% open Β· ⏱️ 30.03.2021): ``` - git clone https://github.com/NVIDIA/DALI + git clone https://github.com/lebedov/scikit-cuda + ``` +- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 1K / month Β· πŸ“¦ 70 Β· ⏱️ 27.05.2019): + ``` + pip install scikit-cuda ```
cuML (πŸ₯‰19 Β· ⭐ 2.2K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 330 Β· πŸ“‹ 1.7K - 36% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 330 Β· πŸ“‹ 1.8K - 35% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 810 / month Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 720 / month Β· ⏱️ 01.06.2020): ``` pip install cuml ```
+
DALI (πŸ₯‰17 Β· ⭐ 3.3K Β· πŸ“‰) - A GPU-accelerated library containing highly optimized building.. Apache-2 + +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 400 Β· πŸ“‹ 990 - 17% open Β· ⏱️ 02.06.2021): + + ``` + git clone https://github.com/NVIDIA/DALI + ``` +
BlazingSQL (πŸ₯‰17 Β· ⭐ 1.5K) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 -- [GitHub](https://github.com/BlazingDB/blazingsql) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 140 Β· πŸ“‹ 690 - 18% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/BlazingDB/blazingsql) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 140 Β· πŸ“‹ 700 - 18% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/BlazingDB/blazingsql @@ -8392,33 +8348,33 @@ _Libraries that require and make use of CUDA/GPU system capabilities to optimize conda install -c blazingsql blazingsql-protocol ```
-
cuGraph (πŸ₯‰17 Β· ⭐ 710) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 +
cuGraph (πŸ₯‰17 Β· ⭐ 720) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 150 Β· πŸ“‹ 650 - 17% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 150 Β· πŸ“‹ 660 - 16% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 99 / month Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 91 / month Β· ⏱️ 01.06.2020): ``` pip install cugraph ```
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Vulkan Kompute (πŸ₯‰17 Β· ⭐ 390) - General purpose GPU compute framework for cross vendor.. Apache-2 +
Vulkan Kompute (πŸ₯‰17 Β· ⭐ 400) - General purpose GPU compute framework for cross vendor.. Apache-2 -- [GitHub](https://github.com/EthicalML/vulkan-kompute) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 31 Β· πŸ“₯ 54 Β· πŸ“¦ 2 Β· πŸ“‹ 140 - 33% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/EthicalML/vulkan-kompute) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 33 Β· πŸ“₯ 55 Β· πŸ“¦ 2 Β· πŸ“‹ 140 - 34% open Β· ⏱️ 30.05.2021): ``` git clone https://github.com/EthicalML/vulkan-kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 140 / month Β· ⏱️ 14.03.2021): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 130 / month Β· ⏱️ 14.03.2021): ``` pip install kp ```
cuSignal (πŸ₯‰15 Β· ⭐ 480) - GPU accelerated signal processing. Apache-2 -- [GitHub](https://github.com/rapidsai/cusignal) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 63 Β· πŸ“‹ 110 - 13% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/rapidsai/cusignal) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 63 Β· πŸ“‹ 110 - 13% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/rapidsai/cusignal @@ -8427,10 +8383,10 @@ _Libraries that require and make use of CUDA/GPU system capabilities to optimize
Show 5 hidden projects... - GPUtil (πŸ₯ˆ23 Β· ⭐ 720 Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT -- py3nvml (πŸ₯‰22 Β· ⭐ 180 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 -- nvidia-ml-py3 (πŸ₯‰19 Β· ⭐ 66 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 +- py3nvml (πŸ₯ˆ22 Β· ⭐ 180 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 +- nvidia-ml-py3 (πŸ₯‰19 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· ⭐ 130) - jupyter/ipython experiment containers for GPU and.. Apache-2 +- ipyexperiments (πŸ₯‰15 Β· ⭐ 130) - jupyter/ipython experiment containers for GPU and.. Apache-2

@@ -8440,166 +8396,158 @@ _Libraries that require and make use of CUDA/GPU system capabilities to optimize _Libraries that extend TensorFlow with additional capabilities._ -
tensor2tensor (πŸ₯‡33 Β· ⭐ 11K Β· πŸ“ˆ) - Library of deep learning models and datasets designed.. Apache-2 +
tensor2tensor (πŸ₯‡33 Β· ⭐ 11K) - 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“¦ 970 Β· πŸ“‹ 1.2K - 45% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/tensorflow/tensor2tensor) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2.9K Β· πŸ“¦ 980 Β· πŸ“‹ 1.2K - 45% open Β· ⏱️ 11.05.2021): ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 440K / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2020): +- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 610K / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2020): ``` pip install tensor2tensor ```
tensorflow-hub (πŸ₯‡32 Β· ⭐ 2.8K) - A library for transfer learning by reusing parts of.. Apache-2 -- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 1.5K Β· πŸ“¦ 6.6K Β· πŸ“‹ 580 - 5% open Β· ⏱️ 30.04.2021): +- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 1.5K Β· πŸ“¦ 7K Β· πŸ“‹ 590 - 5% open Β· ⏱️ 31.05.2021): ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2.1M / month Β· πŸ“¦ 310 Β· ⏱️ 14.04.2021): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2.5M / month Β· πŸ“¦ 310 Β· ⏱️ 14.04.2021): ``` pip install tensorflow-hub ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 52K Β· ⏱️ 18.04.2021): +- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 53K Β· ⏱️ 18.04.2021): ``` conda install -c conda-forge tensorflow-hub ```
TF Addons (πŸ₯‡32 Β· ⭐ 1.3K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 -- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 420 Β· πŸ“¦ 3K Β· πŸ“‹ 820 - 20% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 430 Β· πŸ“¦ 3.2K Β· πŸ“‹ 820 - 20% open Β· ⏱️ 29.05.2021): ``` git clone https://github.com/tensorflow/addons ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 2.3M / month Β· πŸ“¦ 18 Β· ⏱️ 30.01.2021): +- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 2.6M / month Β· πŸ“¦ 18 Β· ⏱️ 15.05.2021): ``` pip install tensorflow-addons ```
TensorFlow Transform (πŸ₯ˆ29 Β· ⭐ 870) - Input pipeline framework. Apache-2 -- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 170 Β· πŸ“¦ 460 Β· πŸ“‹ 160 - 14% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 170 Β· πŸ“¦ 470 Β· πŸ“‹ 160 - 12% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 7.9M / month Β· πŸ“¦ 84 Β· ⏱️ 26.04.2021): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 7.3M / month Β· πŸ“¦ 84 Β· ⏱️ 24.05.2021): ``` pip install tensorflow-transform ```
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TF Model Optimization (πŸ₯ˆ26 Β· ⭐ 1K) - A toolkit to optimize ML models for deployment for.. Apache-2 +
TF Model Optimization (πŸ₯ˆ26 Β· ⭐ 1.1K) - A toolkit to optimize ML models for deployment for.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 240 Β· πŸ“¦ 780 Β· πŸ“‹ 210 - 42% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 250 Β· πŸ“¦ 840 Β· πŸ“‹ 200 - 37% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 180K / month Β· πŸ“¦ 6 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 200K / month Β· πŸ“¦ 6 Β· ⏱️ 17.05.2021): ``` pip install tensorflow-model-optimization ```
efficientnet (πŸ₯‰25 Β· ⭐ 1.8K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 -- [GitHub](https://github.com/qubvel/efficientnet) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 410 Β· πŸ“₯ 170K Β· πŸ“¦ 600 Β· πŸ“‹ 110 - 50% open Β· ⏱️ 15.09.2020): +- [GitHub](https://github.com/qubvel/efficientnet) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 420 Β· πŸ“₯ 180K Β· πŸ“¦ 630 Β· πŸ“‹ 110 - 51% open Β· ⏱️ 15.09.2020): ``` git clone https://github.com/qubvel/efficientnet ``` -- [PyPi](https://pypi.org/project/efficientnet) (πŸ“₯ 140K / month Β· πŸ“¦ 4 Β· ⏱️ 15.09.2020): +- [PyPi](https://pypi.org/project/efficientnet) (πŸ“₯ 99K / month Β· πŸ“¦ 4 Β· ⏱️ 15.09.2020): ``` pip install efficientnet ```
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TensorFlow I/O (πŸ₯‰24 Β· ⭐ 450) - Dataset, streaming, and file system extensions.. Apache-2 +
TensorFlow Cloud (πŸ₯‰25 Β· ⭐ 280) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 160 Β· πŸ“‹ 420 - 31% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 52 Β· πŸ“¦ 64 Β· πŸ“‹ 72 - 63% open Β· ⏱️ 27.05.2021): ``` - git clone https://github.com/tensorflow/io + git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 170K / month Β· ⏱️ 15.12.2020): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 210K / month Β· ⏱️ 19.05.2021): ``` - pip install tensorflow-io + pip install tensorflow-cloud ```
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TensorFlow Cloud (πŸ₯‰24 Β· ⭐ 240) - The TensorFlow Cloud repository provides APIs that.. Apache-2 +
TensorFlow I/O (πŸ₯‰24 Β· ⭐ 460) - Dataset, streaming, and file system extensions.. Apache-2 -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 50 Β· πŸ“¦ 53 Β· πŸ“‹ 74 - 66% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 160 Β· πŸ“‹ 420 - 31% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/tensorflow/cloud + git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 250K / month Β· ⏱️ 04.05.2021): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 150K / month Β· ⏱️ 14.05.2021): ``` - pip install tensorflow-cloud + pip install tensorflow-io ```
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Neural Structured Learning (πŸ₯‰22 Β· ⭐ 810) - Training neural models with structured signals. Apache-2 +
Neural Structured Learning (πŸ₯‰23 Β· ⭐ 820) - Training neural models with structured signals. Apache-2 -- [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 150 Β· πŸ“¦ 60 Β· πŸ“‹ 46 - 10% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 150 Β· πŸ“¦ 70 Β· πŸ“‹ 46 - 10% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 6.6K / month Β· ⏱️ 18.08.2020): +- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 8.6K / month Β· ⏱️ 18.08.2020): ``` pip install neural-structured-learning ```
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Saliency (πŸ₯‰20 Β· ⭐ 660) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2 +
Saliency (πŸ₯‰20 Β· ⭐ 670) - 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“¦ 15 Β· πŸ“‹ 28 - 60% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 160 Β· πŸ“¦ 16 Β· πŸ“‹ 28 - 60% open Β· ⏱️ 11.05.2021): ``` git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 500 / month Β· πŸ“¦ 2 Β· ⏱️ 03.05.2021): +- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 740 / month Β· πŸ“¦ 2 Β· ⏱️ 03.05.2021): ``` pip install saliency ```
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TensorNets (πŸ₯‰19 Β· ⭐ 980) - High level network definitions with pre-trained weights in.. MIT +
TensorNets (πŸ₯‰19 Β· ⭐ 990) - High level network definitions with pre-trained weights in.. MIT -- [GitHub](https://github.com/taehoonlee/tensornets) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 190 Β· πŸ“¦ 34 Β· πŸ“‹ 56 - 25% open Β· ⏱️ 02.01.2021): +- [GitHub](https://github.com/taehoonlee/tensornets) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 190 Β· πŸ“¦ 35 Β· πŸ“‹ 56 - 25% open Β· ⏱️ 02.01.2021): ``` git clone https://github.com/taehoonlee/tensornets ``` -- [PyPi](https://pypi.org/project/tensornets) (πŸ“₯ 180 / month Β· πŸ“¦ 4 Β· ⏱️ 31.03.2020): +- [PyPi](https://pypi.org/project/tensornets) (πŸ“₯ 220 / month Β· πŸ“¦ 4 Β· ⏱️ 31.03.2020): ``` pip install tensornets ```
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tffm (πŸ₯‰19 Β· ⭐ 760 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT - -- [GitHub](https://github.com/geffy/tffm) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 180 Β· πŸ“¦ 11 Β· πŸ“‹ 37 - 45% open Β· ⏱️ 22.05.2020): - - ``` - git clone https://github.com/geffy/tffm - ``` -- [PyPi](https://pypi.org/project/tffm) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 27.01.2018): - ``` - pip install tffm - ``` -
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TF Compression (πŸ₯‰18 Β· ⭐ 480) - Data compression in TensorFlow. Apache-2 +
TF Compression (πŸ₯‰19 Β· ⭐ 490) - Data compression in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 170 Β· ⏱️ 23.04.2021): +- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 180 Β· ⏱️ 14.05.2021): ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 11.03.2021): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 14.05.2021): ``` pip install tensorflow-compression ```
+
Show 1 hidden projects... + +- tffm (πŸ₯‰19 Β· ⭐ 760 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT +

## Sklearn Utilities @@ -8608,14 +8556,14 @@ _Libraries that extend TensorFlow with additional capabilities._ _Libraries that extend scikit-learn with additional capabilities._ -
imbalanced-learn (πŸ₯‡31 Β· ⭐ 5.2K) - A Python Package to Tackle the Curse of Imbalanced.. MIT +
imbalanced-learn (πŸ₯‡32 Β· ⭐ 5.3K) - A Python Package to Tackle the Curse of Imbalanced.. MIT -- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 1.1K Β· πŸ“¦ 5.3K Β· πŸ“‹ 460 - 7% open Β· ⏱️ 25.04.2021): +- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.1K Β· πŸ“¦ 5.6K Β· πŸ“‹ 470 - 7% open Β· ⏱️ 25.05.2021): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 1.3M / month Β· πŸ“¦ 280 Β· ⏱️ 18.02.2021): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 1.4M / month Β· πŸ“¦ 280 Β· ⏱️ 18.02.2021): ``` pip install imbalanced-learn ``` @@ -8626,12 +8574,12 @@ _Libraries that extend scikit-learn with additional capabilities._
MLxtend (πŸ₯‡29 Β· ⭐ 3.5K) - A library of extension and helper modules for Python's data.. BSD-3 -- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 700 Β· πŸ“¦ 3.2K Β· πŸ“‹ 380 - 24% open Β· ⏱️ 09.05.2021): +- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 700 Β· πŸ“¦ 3.3K Β· πŸ“‹ 380 - 24% open Β· ⏱️ 09.05.2021): ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 320K / month Β· πŸ“¦ 190 Β· ⏱️ 26.11.2020): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 330K / month Β· πŸ“¦ 190 Β· ⏱️ 26.11.2020): ``` pip install mlxtend ``` @@ -8640,94 +8588,94 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge mlxtend ```
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fancyimpute (πŸ₯ˆ26 Β· ⭐ 960) - Multivariate imputation and matrix completion algorithms.. Apache-2 - -- [GitHub](https://github.com/iskandr/fancyimpute) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“¦ 960 Β· πŸ“‹ 110 - 2% open Β· ⏱️ 25.01.2021): - - ``` - git clone https://github.com/iskandr/fancyimpute - ``` -- [PyPi](https://pypi.org/project/fancyimpute) (πŸ“₯ 17K / month Β· πŸ“¦ 42 Β· ⏱️ 16.07.2020): - ``` - pip install fancyimpute - ``` -
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category_encoders (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - A library of sklearn compatible categorical variable.. BSD-3 +
category_encoders (πŸ₯ˆ25 Β· ⭐ 1.7K Β· πŸ’€) - A library of sklearn compatible categorical variable.. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 300 Β· πŸ“‹ 210 - 34% open Β· ⏱️ 31.07.2020): ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` -- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 340K / month Β· πŸ“¦ 23 Β· ⏱️ 14.10.2018): +- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 350K / month Β· πŸ“¦ 23 Β· ⏱️ 14.10.2018): ``` pip install category_encoders ``` -- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 100K Β· ⏱️ 29.04.2020): +- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 110K Β· ⏱️ 29.04.2020): ``` conda install -c conda-forge category_encoders ```
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sklearn-contrib-lightning (πŸ₯ˆ24 Β· ⭐ 1.4K) - Large-scale linear classification, regression and.. BSD-3 +
fancyimpute (πŸ₯ˆ25 Β· ⭐ 960) - 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“¦ 82 Β· πŸ“‹ 85 - 55% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/iskandr/fancyimpute) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“¦ 1K Β· πŸ“‹ 110 - 2% open Β· ⏱️ 25.01.2021): ``` - git clone https://github.com/scikit-learn-contrib/lightning - ``` -- [PyPi](https://pypi.org/project/sklearn-contrib-lightning) (πŸ“₯ 470 / month Β· πŸ“¦ 10 Β· ⏱️ 16.12.2020): - ``` - pip install sklearn-contrib-lightning + git clone https://github.com/iskandr/fancyimpute ``` -- [Conda](https://anaconda.org/conda-forge/sklearn-contrib-lightning) (πŸ“₯ 140K Β· ⏱️ 20.12.2020): +- [PyPi](https://pypi.org/project/fancyimpute) (πŸ“₯ 16K / month Β· πŸ“¦ 42 Β· ⏱️ 16.07.2020): ``` - conda install -c conda-forge sklearn-contrib-lightning + pip install fancyimpute ```
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scikit-opt (πŸ₯ˆ23 Β· ⭐ 2.2K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT +
scikit-opt (πŸ₯ˆ23 Β· ⭐ 2.3K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT -- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 520 Β· πŸ“¦ 32 Β· πŸ“‹ 98 - 23% open Β· ⏱️ 03.04.2021): +- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 530 Β· πŸ“¦ 34 Β· πŸ“‹ 100 - 20% open Β· ⏱️ 29.05.2021): ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 1.3K / month Β· πŸ“¦ 3 Β· ⏱️ 27.03.2021): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 1.2K / month Β· πŸ“¦ 3 Β· ⏱️ 27.03.2021): ``` pip install scikit-opt ```
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combo (πŸ₯ˆ23 Β· ⭐ 490) - (AAAI' 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost +
sklearn-contrib-lightning (πŸ₯ˆ23 Β· ⭐ 1.5K) - Large-scale linear classification, regression and.. BSD-3 + +- [GitHub](https://github.com/scikit-learn-contrib/lightning) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 190 Β· πŸ“¦ 83 Β· πŸ“‹ 87 - 54% open Β· ⏱️ 28.05.2021): + + ``` + git clone https://github.com/scikit-learn-contrib/lightning + ``` +- [PyPi](https://pypi.org/project/sklearn-contrib-lightning) (πŸ“₯ 480 / month Β· πŸ“¦ 10 Β· ⏱️ 16.12.2020): + ``` + pip install sklearn-contrib-lightning + ``` +- [Conda](https://anaconda.org/conda-forge/sklearn-contrib-lightning) (πŸ“₯ 140K Β· ⏱️ 20.12.2020): + ``` + conda install -c conda-forge sklearn-contrib-lightning + ``` +
+
combo (πŸ₯‰21 Β· ⭐ 500 Β· πŸ“‰) - (AAAI' 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost -- [GitHub](https://github.com/yzhao062/combo) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 84 Β· πŸ“¦ 340 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 15.03.2021): +- [GitHub](https://github.com/yzhao062/combo) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 84 Β· πŸ“¦ 350 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 15.03.2021): ``` git clone https://github.com/yzhao062/combo ``` -- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 24K / month Β· ⏱️ 23.12.2020): +- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 30K / month Β· ⏱️ 23.12.2020): ``` pip install combo ```
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DESlib (πŸ₯‰21 Β· ⭐ 330) - A Python library for dynamic classifier and ensemble selection. BSD-3 +
DESlib (πŸ₯‰21 Β· ⭐ 340) - A Python library for dynamic classifier and ensemble selection. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 73 Β· πŸ“¦ 18 Β· πŸ“‹ 140 - 9% open Β· ⏱️ 09.04.2021): +- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 73 Β· πŸ“¦ 20 Β· πŸ“‹ 140 - 9% open Β· ⏱️ 09.04.2021): ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 2.2K / month Β· ⏱️ 08.02.2021): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 2K / month Β· ⏱️ 08.02.2021): ``` pip install deslib ```
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scikit-lego (πŸ₯‰20 Β· ⭐ 500) - Extra blocks for scikit-learn pipelines. MIT +
scikit-lego (πŸ₯‰20 Β· ⭐ 520) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 71 Β· πŸ“¦ 24 Β· πŸ“‹ 220 - 11% open Β· ⏱️ 07.05.2021): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 72 Β· πŸ“¦ 27 Β· πŸ“‹ 220 - 11% open Β· ⏱️ 24.05.2021): ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 3.5K / month Β· ⏱️ 07.05.2021): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 3.3K / month Β· ⏱️ 07.05.2021): ``` pip install scikit-lego ``` @@ -8736,38 +8684,38 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge scikit-lego ```
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iterative-stratification (πŸ₯‰19 Β· ⭐ 550 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 +
iterative-stratification (πŸ₯‰19 Β· ⭐ 560 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 -- [GitHub](https://github.com/trent-b/iterative-stratification) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 50 Β· πŸ“¦ 130 Β· πŸ“‹ 13 - 15% open Β· ⏱️ 12.09.2020): +- [GitHub](https://github.com/trent-b/iterative-stratification) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 50 Β· πŸ“¦ 140 Β· πŸ“‹ 13 - 15% open Β· ⏱️ 12.09.2020): ``` git clone https://github.com/trent-b/iterative-stratification ``` -- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 7K / month Β· πŸ“¦ 14 Β· ⏱️ 12.08.2018): +- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 5.6K / month Β· πŸ“¦ 14 Β· ⏱️ 12.08.2018): ``` pip install iterative-stratification ```
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scikit-tda (πŸ₯‰18 Β· ⭐ 280) - Topological Data Analysis for Python. MIT +
scikit-tda (πŸ₯‰18 Β· ⭐ 290) - Topological Data Analysis for Python. MIT - [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 32 Β· πŸ“¦ 20 Β· πŸ“‹ 15 - 73% open Β· ⏱️ 09.01.2021): ``` git clone https://github.com/scikit-tda/scikit-tda ``` -- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 2.4K / month Β· ⏱️ 09.01.2021): +- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 2.9K / month Β· ⏱️ 09.01.2021): ``` pip install scikit-tda ```
-
skggm (πŸ₯‰17 Β· ⭐ 180) - Scikit-learn compatible estimation of general graphical models. MIT +
skggm (πŸ₯‰16 Β· ⭐ 180) - Scikit-learn compatible estimation of general graphical models. MIT - [GitHub](https://github.com/skggm/skggm) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 31 Β· πŸ“¦ 6 Β· πŸ“‹ 75 - 37% open Β· ⏱️ 24.12.2020): ``` git clone https://github.com/skggm/skggm ``` -- [PyPi](https://pypi.org/project/skggm) (πŸ“₯ 210 / month Β· πŸ“¦ 2 Β· ⏱️ 12.09.2018): +- [PyPi](https://pypi.org/project/skggm) (πŸ“₯ 140 / month Β· πŸ“¦ 2 Β· ⏱️ 12.09.2018): ``` pip install skggm ``` @@ -8776,9 +8724,9 @@ _Libraries that extend scikit-learn with additional capabilities._ - sklearn-crfsuite (πŸ₯ˆ24 Β· ⭐ 370 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT - scikit-multilearn (πŸ₯ˆ23 Β· ⭐ 660 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 -- skope-rules (πŸ₯‰21 Β· ⭐ 390 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause -- celer (πŸ₯‰16 Β· ⭐ 110) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 -- dabl (πŸ₯‰16 Β· ⭐ 74 Β· πŸ’€) - Data Analysis Baseline Library. BSD-3 +- skope-rules (πŸ₯‰20 Β· ⭐ 390 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause +- dabl (πŸ₯‰17 Β· ⭐ 77 Β· πŸ’€) - Data Analysis Baseline Library. BSD-3 +- celer (πŸ₯‰16 Β· ⭐ 120) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3

@@ -8788,255 +8736,255 @@ _Libraries that extend scikit-learn with additional capabilities._ _Libraries that extend Pytorch with additional capabilities._ -
EfficientNet-PyTorch (πŸ₯‡27 Β· ⭐ 6K) - A PyTorch implementation of EfficientNet and.. Apache-2 +
EfficientNet-PyTorch (πŸ₯‡27 Β· ⭐ 6.1K) - A PyTorch implementation of EfficientNet and.. Apache-2 -- [GitHub](https://github.com/lukemelas/EfficientNet-PyTorch) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 1.1K Β· πŸ“₯ 500K Β· πŸ“‹ 240 - 45% open Β· ⏱️ 15.04.2021): +- [GitHub](https://github.com/lukemelas/EfficientNet-PyTorch) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 1.2K Β· πŸ“₯ 550K Β· πŸ“‹ 250 - 47% open Β· ⏱️ 15.04.2021): ``` git clone https://github.com/lukemelas/EfficientNet-PyTorch ``` -- [PyPi](https://pypi.org/project/efficientnet-pytorch) (πŸ“₯ 78K / month Β· πŸ“¦ 14 Β· ⏱️ 15.04.2021): +- [PyPi](https://pypi.org/project/efficientnet-pytorch) (πŸ“₯ 74K / month Β· πŸ“¦ 14 Β· ⏱️ 15.04.2021): ``` pip install efficientnet-pytorch ```
pytorch-summary (πŸ₯‡26 Β· ⭐ 3.1K) - Model summary in PyTorch similar to `model.summary()` in.. MIT -- [GitHub](https://github.com/sksq96/pytorch-summary) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 360 Β· πŸ“¦ 2.5K Β· πŸ“‹ 150 - 76% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/sksq96/pytorch-summary) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 360 Β· πŸ“¦ 2.6K Β· πŸ“‹ 160 - 76% open Β· ⏱️ 10.05.2021): ``` git clone https://github.com/sksq96/pytorch-summary ``` -- [PyPi](https://pypi.org/project/torchsummary) (πŸ“₯ 67K / month Β· πŸ“¦ 120 Β· ⏱️ 26.09.2018): +- [PyPi](https://pypi.org/project/torchsummary) (πŸ“₯ 66K / month Β· πŸ“¦ 120 Β· ⏱️ 26.09.2018): ``` pip install torchsummary ```
pytorch-optimizer (πŸ₯‡26 Β· ⭐ 1.9K) - torch-optimizer -- collection of optimizers for.. Apache-2 -- [GitHub](https://github.com/jettify/pytorch-optimizer) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 170 Β· πŸ“¦ 190 Β· πŸ“‹ 35 - 28% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/jettify/pytorch-optimizer) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 170 Β· πŸ“¦ 210 Β· πŸ“‹ 35 - 28% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 23K / month Β· ⏱️ 01.01.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 29K / month Β· ⏱️ 01.01.2021): ``` pip install torch_optimizer ```
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PML (πŸ₯ˆ25 Β· ⭐ 3.2K) - The easiest way to use deep metric learning in your application. Modular,.. MIT +
PML (πŸ₯ˆ25 Β· ⭐ 3.3K) - 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”€ 410 Β· πŸ“¦ 83 Β· πŸ“‹ 260 - 14% open Β· ⏱️ 10.05.2021): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 420 Β· πŸ“¦ 87 Β· πŸ“‹ 260 - 14% open Β· ⏱️ 10.05.2021): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 17K / month Β· ⏱️ 27.12.2019): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 14K / month Β· ⏱️ 27.12.2019): ``` pip install pytorch-metric-learning ``` -- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (πŸ“₯ 2.3K Β· ⏱️ 10.05.2021): +- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (πŸ“₯ 2.7K Β· ⏱️ 10.05.2021): ``` conda install -c metric-learning pytorch-metric-learning ```
torchdiffeq (πŸ₯ˆ24 Β· ⭐ 3.5K) - Differentiable ODE solvers with full GPU support and.. MIT -- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 590 Β· πŸ“¦ 94 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 23.03.2021): +- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 610 Β· πŸ“¦ 98 Β· πŸ“‹ 140 - 18% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 4.6K / month Β· ⏱️ 06.02.2021): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 4.6K / month Β· ⏱️ 02.06.2021): ``` pip install torchdiffeq ```
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SRU (πŸ₯ˆ23 Β· ⭐ 1.9K) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT +
SRU (πŸ₯ˆ24 Β· ⭐ 1.9K) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT -- [GitHub](https://github.com/asappresearch/sru) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 290 Β· πŸ“¦ 15 Β· πŸ“‹ 120 - 45% open Β· ⏱️ 19.03.2021): +- [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/asappresearch/sru ``` -- [PyPi](https://pypi.org/project/sru) (πŸ“₯ 3.5K / month Β· πŸ“¦ 2 Β· ⏱️ 12.05.2021): +- [PyPi](https://pypi.org/project/sru) (πŸ“₯ 4.1K / month Β· πŸ“¦ 2 Β· ⏱️ 18.05.2021): ``` pip install sru ```
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EfficientNets (πŸ₯ˆ22 Β· ⭐ 1.3K) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - -- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 170 Β· πŸ“¦ 50 Β· ⏱️ 30.11.2020): - - ``` - git clone https://github.com/rwightman/gen-efficientnet-pytorch - ``` -- [PyPi](https://pypi.org/project/geffnet) (πŸ“₯ 4.9K / month Β· ⏱️ 20.08.2020): - ``` - pip install geffnet - ``` -
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Torchmeta (πŸ₯ˆ22 Β· ⭐ 1.3K) - A collection of extensions and data-loaders for few-shot learning.. MIT +
Torchmeta (πŸ₯ˆ23 Β· ⭐ 1.3K) - A collection of extensions and data-loaders for few-shot learning.. MIT -- [GitHub](https://github.com/tristandeleu/pytorch-meta) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 150 Β· πŸ“¦ 38 Β· πŸ“‹ 100 - 25% open Β· ⏱️ 19.03.2021): +- [GitHub](https://github.com/tristandeleu/pytorch-meta) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 150 Β· πŸ“¦ 43 Β· πŸ“‹ 100 - 26% open Β· ⏱️ 19.03.2021): ``` git clone https://github.com/tristandeleu/pytorch-meta ``` -- [PyPi](https://pypi.org/project/torchmeta) (πŸ“₯ 1.1K / month Β· ⏱️ 19.03.2021): +- [PyPi](https://pypi.org/project/torchmeta) (πŸ“₯ 880 / month Β· ⏱️ 19.03.2021): ``` pip install torchmeta ```
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Higher (πŸ₯ˆ22 Β· ⭐ 1.1K) - higher is a pytorch library allowing users to obtain higher.. Apache-2 +
EfficientNets (πŸ₯ˆ22 Β· ⭐ 1.3K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 -- [GitHub](https://github.com/facebookresearch/higher) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 82 Β· πŸ“¦ 52 Β· πŸ“‹ 82 - 41% open Β· ⏱️ 02.03.2021): +- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 180 Β· πŸ“¦ 56 Β· ⏱️ 30.11.2020): ``` - git clone https://github.com/facebookresearch/higher + git clone https://github.com/rwightman/gen-efficientnet-pytorch ``` -- [PyPi](https://pypi.org/project/higher) (πŸ“₯ 21K / month Β· ⏱️ 14.07.2020): +- [PyPi](https://pypi.org/project/geffnet) (πŸ“₯ 4.2K / month Β· ⏱️ 20.08.2020): ``` - pip install higher + pip install geffnet ```
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torch-scatter (πŸ₯ˆ22 Β· ⭐ 660) - PyTorch Extension Library of Optimized Scatter Operations. MIT +
torch-scatter (πŸ₯ˆ22 Β· ⭐ 670) - PyTorch Extension Library of Optimized Scatter Operations. MIT -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 77 Β· πŸ“‹ 190 - 35% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 77 Β· πŸ“‹ 200 - 35% open Β· ⏱️ 30.05.2021): ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 22K / month Β· πŸ“¦ 32 Β· ⏱️ 03.03.2021): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 26K / month Β· πŸ“¦ 32 Β· ⏱️ 03.03.2021): ``` pip install torch-scatter ```
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PyTorch Sparse (πŸ₯ˆ22 Β· ⭐ 400) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT +
PyTorch Sparse (πŸ₯ˆ22 Β· ⭐ 410) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 52 Β· πŸ“‹ 110 - 43% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 55 Β· πŸ“‹ 110 - 42% open Β· ⏱️ 12.05.2021): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 14K / month Β· πŸ“¦ 34 Β· ⏱️ 02.11.2020): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 15K / month Β· πŸ“¦ 34 Β· ⏱️ 02.11.2020): ``` pip install torch-sparse ```
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reformer-pytorch (πŸ₯‰21 Β· ⭐ 1.5K) - Reformer, the efficient Transformer, in Pytorch. MIT +
Higher (πŸ₯‰21 Β· ⭐ 1.1K) - higher is a pytorch library allowing users to obtain higher.. Apache-2 -- [GitHub](https://github.com/lucidrains/reformer-pytorch) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 200 Β· πŸ“‹ 110 - 8% open Β· ⏱️ 09.05.2021): +- [GitHub](https://github.com/facebookresearch/higher) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 84 Β· πŸ“¦ 56 Β· πŸ“‹ 82 - 41% open Β· ⏱️ 02.03.2021): ``` - git clone https://github.com/lucidrains/reformer-pytorch + git clone https://github.com/facebookresearch/higher ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 1.1K / month Β· ⏱️ 09.05.2021): +- [PyPi](https://pypi.org/project/higher) (πŸ“₯ 26K / month Β· ⏱️ 14.07.2020): ``` - pip install reformer-pytorch + pip install higher ```
TabNet (πŸ₯‰21 Β· ⭐ 1K) - PyTorch implementation of TabNet paper :.. MIT -- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“‹ 150 - 23% open Β· ⏱️ 05.05.2021): +- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 200 Β· πŸ“‹ 160 - 22% open Β· ⏱️ 27.05.2021): ``` git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 13K / month Β· ⏱️ 02.02.2021): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 11K / month Β· ⏱️ 02.02.2021): ``` pip install pytorch-tabnet ```
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reformer-pytorch (πŸ₯‰20 Β· ⭐ 1.5K) - Reformer, the efficient Transformer, in Pytorch. MIT + +- [GitHub](https://github.com/lucidrains/reformer-pytorch) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 200 Β· πŸ“‹ 110 - 9% open Β· ⏱️ 09.05.2021): + + ``` + git clone https://github.com/lucidrains/reformer-pytorch + ``` +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 640 / month Β· ⏱️ 09.05.2021): + ``` + pip install reformer-pytorch + ``` +
Pytorch Toolbelt (πŸ₯‰20 Β· ⭐ 1K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 75 Β· πŸ“‹ 18 - 11% open Β· ⏱️ 05.05.2021): +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 75 Β· πŸ“‹ 19 - 15% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 12K / month Β· πŸ“¦ 2 Β· ⏱️ 02.04.2021): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 9.5K / month Β· πŸ“¦ 2 Β· ⏱️ 02.04.2021): ``` pip install pytorch_toolbelt ```
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Performer Pytorch (πŸ₯‰19 Β· ⭐ 600) - An implementation of Performer, a linear attention-based.. MIT +
Performer Pytorch (πŸ₯‰19 Β· ⭐ 620) - An implementation of Performer, a linear attention-based.. MIT -- [GitHub](https://github.com/lucidrains/performer-pytorch) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 76 Β· πŸ“¦ 21 Β· πŸ“‹ 60 - 36% open Β· ⏱️ 21.04.2021): +- [GitHub](https://github.com/lucidrains/performer-pytorch) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 79 Β· πŸ“¦ 25 Β· πŸ“‹ 62 - 37% open Β· ⏱️ 21.04.2021): ``` git clone https://github.com/lucidrains/performer-pytorch ``` -- [PyPi](https://pypi.org/project/performer-pytorch) (πŸ“₯ 2.2K / month Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/performer-pytorch) (πŸ“₯ 1.7K / month Β· ⏱️ 21.04.2021): ``` pip install performer-pytorch ```
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Lambda Networks (πŸ₯‰18 Β· ⭐ 1.5K) - Implementation of LambdaNetworks, a new approach to image.. MIT +
Lambda Networks (πŸ₯‰18 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. 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): ``` git clone https://github.com/lucidrains/lambda-networks ``` -- [PyPi](https://pypi.org/project/lambda-networks) (πŸ“₯ 2K / month Β· ⏱️ 18.11.2020): +- [PyPi](https://pypi.org/project/lambda-networks) (πŸ“₯ 2.2K / month Β· ⏱️ 18.11.2020): ``` pip install lambda-networks ```
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Tensor Sensor (πŸ₯‰17 Β· ⭐ 550) - The goal of this library is to generate more helpful.. MIT +
Tensor Sensor (πŸ₯‰17 Β· ⭐ 560) - The goal of this library is to generate more helpful.. MIT -- [GitHub](https://github.com/parrt/tensor-sensor) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 26 Β· πŸ“¦ 2 Β· πŸ“‹ 17 - 29% open Β· ⏱️ 29.04.2021): +- [GitHub](https://github.com/parrt/tensor-sensor) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 27 Β· πŸ“¦ 2 Β· πŸ“‹ 18 - 27% open Β· ⏱️ 26.05.2021): ``` git clone https://github.com/parrt/tensor-sensor ``` -- [PyPi](https://pypi.org/project/tensor-sensor) (πŸ“₯ 220 / month Β· ⏱️ 03.12.2020): +- [PyPi](https://pypi.org/project/tensor-sensor) (πŸ“₯ 270 / month Β· ⏱️ 26.05.2021): ``` pip install tensor-sensor ```
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Pywick (πŸ₯‰17 Β· ⭐ 320) - High-level batteries-included neural network training library for.. MIT +
tinygrad (πŸ₯‰16 Β· ⭐ 4.4K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/achaiah/pywick) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 35 Β· πŸ“¦ 3 Β· πŸ“‹ 12 - 25% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/geohot/tinygrad) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 500 Β· πŸ“¦ 1 Β· πŸ“‹ 82 - 23% open Β· ⏱️ 02.06.2021): ``` - git clone https://github.com/achaiah/pywick - ``` -- [PyPi](https://pypi.org/project/pywick) (πŸ“₯ 190 / month Β· ⏱️ 20.01.2020): - ``` - pip install pywick + git clone https://github.com/geohot/tinygrad ```
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tinygrad (πŸ₯‰16 Β· ⭐ 4.3K) - You like pytorch? You like micrograd? You love tinygrad!. MIT +
torchsde (πŸ₯‰16 Β· ⭐ 750) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/geohot/tinygrad) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 490 Β· πŸ“¦ 1 Β· πŸ“‹ 82 - 23% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 71 Β· πŸ“‹ 38 - 18% open Β· ⏱️ 12.05.2021): ``` - git clone https://github.com/geohot/tinygrad + git clone https://github.com/google-research/torchsde ```
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torchsde (πŸ₯‰16 Β· ⭐ 720) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 +
Tez (πŸ₯‰16 Β· ⭐ 610) - Tez is a super-simple and lightweight Trainer for PyTorch. It also.. Apache-2 -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 65 Β· πŸ“‹ 36 - 13% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/abhi1thakur/tez) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 80 Β· πŸ“¦ 6 Β· πŸ“‹ 20 - 65% open Β· ⏱️ 05.05.2021): ``` - git clone https://github.com/google-research/torchsde + git clone https://github.com/abhishekkrthakur/tez + ``` +- [PyPi](https://pypi.org/project/tez) (πŸ“₯ 860 / month Β· ⏱️ 05.05.2021): + ``` + pip install tez ```
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Tez (πŸ₯‰16 Β· ⭐ 600 Β· 🐣) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 +
Pywick (πŸ₯‰16 Β· ⭐ 330) - High-level batteries-included neural network training library for.. MIT -- [GitHub](https://github.com/abhi1thakur/tez) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 78 Β· πŸ“¦ 6 Β· πŸ“‹ 19 - 63% open Β· ⏱️ 05.05.2021): +- [GitHub](https://github.com/achaiah/pywick) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 36 Β· πŸ“¦ 3 Β· πŸ“‹ 12 - 25% open Β· ⏱️ 17.05.2021): ``` - git clone https://github.com/abhishekkrthakur/tez + git clone https://github.com/achaiah/pywick ``` -- [PyPi](https://pypi.org/project/tez) (πŸ“₯ 600 / month Β· ⏱️ 05.05.2021): +- [PyPi](https://pypi.org/project/pywick) (πŸ“₯ 65 / month Β· ⏱️ 20.01.2020): ``` - pip install tez + pip install pywick ```
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Torch-Struct (πŸ₯‰15 Β· ⭐ 930) - Fast, general, and tested differentiable structured prediction.. MIT +
Torch-Struct (πŸ₯‰15 Β· ⭐ 940) - Fast, general, and tested differentiable structured prediction.. MIT - [GitHub](https://github.com/harvardnlp/pytorch-struct) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 71 Β· πŸ“‹ 43 - 41% open Β· ⏱️ 09.05.2021): @@ -9046,10 +8994,10 @@ _Libraries that extend Pytorch with additional capabilities._
Show 5 hidden projects... -- pretrainedmodels (πŸ₯‡28 Β· ⭐ 8K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 -- Poutyne (πŸ₯‰20 Β· ⭐ 470) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 -- AdaBound (πŸ₯‰19 Β· ⭐ 2.8K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 -- Antialiased CNNs (πŸ₯‰18 Β· ⭐ 1.4K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 +- pretrainedmodels (πŸ₯‡27 Β· ⭐ 8K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 +- AdaBound (πŸ₯‰20 Β· ⭐ 2.8K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 +- Poutyne (πŸ₯‰20 Β· ⭐ 480) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 +- Antialiased CNNs (πŸ₯‰16 Β· ⭐ 1.4K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - micrograd (πŸ₯‰13 Β· ⭐ 1.7K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT

@@ -9068,9 +9016,9 @@ _Libraries for connecting to, operating, and querying databases._ Back to top -
scipy (πŸ₯‡42 Β· ⭐ 8.2K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 +
scipy (πŸ₯‡42 Β· ⭐ 8.3K) - 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”€ 3.7K Β· πŸ“₯ 320K Β· πŸ“¦ 340K Β· πŸ“‹ 7.5K - 21% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 3.7K Β· πŸ“₯ 320K Β· πŸ“¦ 350K Β· πŸ“‹ 7.6K - 21% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/scipy/scipy @@ -9079,19 +9027,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 14M Β· ⏱️ 27.04.2021): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 15M Β· ⏱️ 27.04.2021): ``` conda install -c conda-forge scipy ```
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SymPy (πŸ₯‡35 Β· ⭐ 8.1K) - A computer algebra system written in pure Python. BSD-3 +
SymPy (πŸ₯‡36 Β· ⭐ 8.1K Β· πŸ“ˆ) - 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“₯ 420K Β· πŸ“¦ 32K Β· πŸ“‹ 11K - 36% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 3.4K Β· πŸ“₯ 430K Β· πŸ“¦ 32K Β· πŸ“‹ 12K - 36% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 1.5M / month Β· πŸ“¦ 6.4K Β· ⏱️ 09.04.2021): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 1.6M / month Β· πŸ“¦ 6.4K Β· ⏱️ 09.04.2021): ``` pip install sympy ``` @@ -9100,14 +9048,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge sympy ```
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Autograd (πŸ₯‡30 Β· ⭐ 5.2K) - Efficiently computes derivatives of numpy code. MIT +
Autograd (πŸ₯‡30 Β· ⭐ 5.3K) - Efficiently computes derivatives of numpy code. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 750 Β· πŸ“¦ 1.9K Β· πŸ“‹ 380 - 42% open Β· ⏱️ 03.03.2021): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 750 Β· πŸ“¦ 2K Β· πŸ“‹ 380 - 42% open Β· ⏱️ 03.03.2021): ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.1M / month Β· πŸ“¦ 340 Β· ⏱️ 25.07.2019): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 950K / month Β· πŸ“¦ 340 Β· ⏱️ 25.07.2019): ``` pip install autograd ``` @@ -9118,23 +9066,23 @@ _Libraries for connecting to, operating, and querying databases._
hdbscan (πŸ₯‡29 Β· ⭐ 1.9K) - 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“¦ 830 Β· πŸ“‹ 370 - 60% open Β· ⏱️ 07.04.2021): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 340 Β· πŸ“¦ 860 Β· πŸ“‹ 370 - 60% open Β· ⏱️ 07.04.2021): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 190K / month Β· πŸ“¦ 120 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 200K / month Β· πŸ“¦ 120 Β· ⏱️ 03.02.2021): ``` pip install hdbscan ``` -- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 660K Β· ⏱️ 14.02.2021): +- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 680K Β· ⏱️ 14.02.2021): ``` conda install -c conda-forge hdbscan ```
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PyOD (πŸ₯‡28 Β· ⭐ 4.5K) - (JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly.. BSD-2 +
PyOD (πŸ₯‡28 Β· ⭐ 4.6K) - (JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly.. BSD-2 -- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 900 Β· πŸ“¦ 620 Β· πŸ“‹ 200 - 56% open Β· ⏱️ 27.04.2021): +- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 910 Β· πŸ“¦ 660 Β· πŸ“‹ 200 - 56% open Β· ⏱️ 18.05.2021): ``` git clone https://github.com/yzhao062/pyod @@ -9144,294 +9092,306 @@ _Libraries for connecting to, operating, and querying databases._ pip install pyod ```
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Keras-Preprocessing (πŸ₯‡28 Β· ⭐ 940) - Utilities for working with image data, text data, and.. MIT +
Keras-Preprocessing (πŸ₯‡28 Β· ⭐ 950) - Utilities for working with image data, text data, and.. MIT - [GitHub](https://github.com/keras-team/keras-preprocessing) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 420 Β· πŸ“‹ 190 - 48% open Β· ⏱️ 04.02.2021): ``` git clone https://github.com/keras-team/keras-preprocessing ``` -- [PyPi](https://pypi.org/project/keras-preprocessing) (πŸ“₯ 6.3M / month Β· πŸ“¦ 2.7K Β· ⏱️ 14.05.2020): +- [PyPi](https://pypi.org/project/keras-preprocessing) (πŸ“₯ 6.2M / month Β· πŸ“¦ 2.7K Β· ⏱️ 14.05.2020): ``` pip install keras-preprocessing ``` -- [Conda](https://anaconda.org/conda-forge/keras-preprocessing) (πŸ“₯ 930K Β· ⏱️ 15.01.2021): +- [Conda](https://anaconda.org/conda-forge/keras-preprocessing) (πŸ“₯ 950K Β· ⏱️ 15.01.2021): ``` conda install -c conda-forge keras-preprocessing ```
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Cython BLIS (πŸ₯‡28 Β· ⭐ 170) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - -- [GitHub](https://github.com/explosion/cython-blis) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 25 Β· πŸ“¦ 10K Β· πŸ“‹ 22 - 27% open Β· ⏱️ 15.03.2021): - - ``` - git clone https://github.com/explosion/cython-blis - ``` -- [PyPi](https://pypi.org/project/blis) (πŸ“₯ 1.8M / month Β· πŸ“¦ 390 Β· ⏱️ 07.12.2020): - ``` - pip install blis - ``` -- [Conda](https://anaconda.org/conda-forge/cython-blis) (πŸ“₯ 890K Β· ⏱️ 31.01.2021): - ``` - conda install -c conda-forge cython-blis - ``` -
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Streamlit (πŸ₯ˆ27 Β· ⭐ 14K) - Streamlit The fastest way to build data apps in Python. Apache-2 +
Streamlit (πŸ₯ˆ27 Β· ⭐ 15K) - Streamlit The fastest way to build data apps in Python. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“¦ 77 Β· πŸ“‹ 1.7K - 29% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.3K Β· πŸ“¦ 84 Β· πŸ“‹ 1.8K - 29% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 270K / month Β· πŸ“¦ 34 Β· ⏱️ 04.05.2021): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 300K / month Β· πŸ“¦ 34 Β· ⏱️ 13.05.2021): ``` pip install streamlit ```
Datasette (πŸ₯ˆ27 Β· ⭐ 5.1K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 280 Β· πŸ“₯ 29 Β· πŸ“¦ 410 Β· πŸ“‹ 1K - 24% open Β· ⏱️ 29.04.2021): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 290 Β· πŸ“₯ 31 Β· πŸ“¦ 420 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 19K / month Β· πŸ“¦ 70 Β· ⏱️ 29.03.2021): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 38K / month Β· πŸ“¦ 70 Β· ⏱️ 27.05.2021): ``` pip install datasette ```
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DeepChem (πŸ₯ˆ27 Β· ⭐ 2.9K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
DeepChem (πŸ₯ˆ27 Β· ⭐ 3K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 980 Β· πŸ“¦ 40 Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 980 Β· πŸ“¦ 41 Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 20.05.2021): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 3.4K / month Β· πŸ“¦ 4 Β· ⏱️ 13.05.2021): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 3.3K / month Β· πŸ“¦ 4 Β· ⏱️ 20.05.2021): ``` pip install deepchem ```
agate (πŸ₯ˆ27 Β· ⭐ 1K) - A Python data analysis library that is optimized for humans instead of machines. MIT -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 130 Β· πŸ“¦ 560 Β· πŸ“‹ 640 - 8% open Β· ⏱️ 10.03.2021): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 130 Β· πŸ“¦ 570 Β· πŸ“‹ 640 - 8% open Β· ⏱️ 10.03.2021): ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 570K / month Β· πŸ“¦ 240 Β· ⏱️ 11.03.2018): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 610K / month Β· πŸ“¦ 240 Β· ⏱️ 11.03.2018): ``` pip install agate ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 64K Β· ⏱️ 19.08.2018): +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 64K Β· ⏱️ 31.05.2021): ``` conda install -c conda-forge agate ```
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carla (πŸ₯ˆ26 Β· ⭐ 5.9K) - Open-source simulator for autonomous driving research. MIT - -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.8K Β· πŸ“¦ 69 Β· πŸ“‹ 3.2K - 10% open Β· ⏱️ 21.04.2021): - - ``` - git clone https://github.com/carla-simulator/carla - ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 810 / month Β· πŸ“¦ 4 Β· ⏱️ 28.04.2019): - ``` - pip install carla - ``` -
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Pythran (πŸ₯ˆ26 Β· ⭐ 1.5K) - Ahead of Time compiler for numeric kernels. BSD-3 +
Pythran (πŸ₯ˆ26 Β· ⭐ 1.6K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 140 Β· πŸ“¦ 52 Β· πŸ“‹ 670 - 15% open Β· ⏱️ 09.05.2021): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 140 Β· πŸ“¦ 53 Β· πŸ“‹ 680 - 15% open Β· ⏱️ 28.05.2021): ``` git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 11K / month Β· πŸ“¦ 26 Β· ⏱️ 09.05.2021): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 9K / month Β· πŸ“¦ 26 Β· ⏱️ 23.05.2021): ``` pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 150K Β· ⏱️ 10.05.2021): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 160K Β· ⏱️ 24.05.2021): ``` conda install -c conda-forge pythran ```
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kmodes (πŸ₯ˆ26 Β· ⭐ 850) - Python implementations of the k-modes and k-prototypes clustering.. MIT +
Cython BLIS (πŸ₯ˆ26 Β· ⭐ 170 Β· πŸ“‰) - Fast matrix-multiplication as a self-contained Python library.. BSD-3 -- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 340 Β· πŸ“¦ 550 Β· πŸ“‹ 130 - 13% open Β· ⏱️ 07.03.2021): +- [GitHub](https://github.com/explosion/cython-blis) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 25 Β· πŸ“¦ 11K Β· πŸ“‹ 22 - 27% open Β· ⏱️ 15.03.2021): ``` - git clone https://github.com/nicodv/kmodes + git clone https://github.com/explosion/cython-blis ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 110K / month Β· πŸ“¦ 26 Β· ⏱️ 13.02.2021): +- [PyPi](https://pypi.org/project/blis) (πŸ“₯ 2M / month Β· πŸ“¦ 390 Β· ⏱️ 07.12.2020): ``` - pip install kmodes + pip install blis + ``` +- [Conda](https://anaconda.org/conda-forge/cython-blis) (πŸ“₯ 930K Β· ⏱️ 31.01.2021): + ``` + conda install -c conda-forge cython-blis ```
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Trax (πŸ₯ˆ25 Β· ⭐ 6.1K) - Trax Deep Learning with Clear Code and Speed. Apache-2 +
Trax (πŸ₯ˆ25 Β· ⭐ 6.2K) - Trax Deep Learning with Clear Code and Speed. Apache-2 -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 590 Β· πŸ“¦ 26 Β· πŸ“‹ 200 - 45% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 600 Β· πŸ“¦ 28 Β· πŸ“‹ 190 - 39% open Β· ⏱️ 28.05.2021): ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4.9K / month Β· ⏱️ 26.04.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 5.7K / month Β· ⏱️ 21.05.2021): ``` pip install trax ```
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causalml (πŸ₯ˆ25 Β· ⭐ 1.9K) - Uplift modeling and causal inference with machine learning.. Apache-2 +
carla (πŸ₯ˆ25 Β· ⭐ 6K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 280 Β· πŸ“¦ 18 Β· πŸ“‹ 180 - 18% open Β· ⏱️ 29.04.2021): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.8K Β· πŸ“¦ 69 Β· πŸ“‹ 3.2K - 11% open Β· ⏱️ 21.04.2021): ``` - git clone https://github.com/uber/causalml + git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 22K / month Β· ⏱️ 19.02.2021): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 780 / month Β· πŸ“¦ 4 Β· ⏱️ 28.04.2019): ``` - pip install causalml + pip install carla ```
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pyjanitor (πŸ₯ˆ25 Β· ⭐ 660) - Clean APIs for data cleaning. Python implementation of R package Janitor. MIT +
PaddleHub (πŸ₯ˆ25 Β· ⭐ 5.2K) - Awesome pre-trained models toolkit based on.. Apache-2 -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 120 Β· πŸ“¦ 96 Β· πŸ“‹ 380 - 25% open Β· ⏱️ 20.04.2021): +- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“₯ 500 Β· πŸ“¦ 260 Β· πŸ“‹ 820 - 31% open Β· ⏱️ 31.05.2021): ``` - git clone https://github.com/ericmjl/pyjanitor - ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 9.1K / month Β· πŸ“¦ 4 Β· ⏱️ 25.02.2021): - ``` - pip install pyjanitor + git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [Conda](https://anaconda.org/conda-forge/pyjanitor) (πŸ“₯ 88K Β· ⏱️ 25.03.2021): +- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 3.3K / month Β· ⏱️ 27.04.2021): ``` - conda install -c conda-forge pyjanitor + pip install paddlehub ```
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datalad (πŸ₯ˆ25 Β· ⭐ 240) - Keep code, data, containers under control with git and git-annex. MIT +
causalml (πŸ₯ˆ25 Β· ⭐ 2K) - Uplift modeling and causal inference with machine learning algorithms. Apache-2 -- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 73 Β· πŸ“‹ 3K - 23% open Β· ⏱️ 12.05.2021): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 290 Β· πŸ“¦ 21 Β· πŸ“‹ 180 - 20% open Β· ⏱️ 18.05.2021): ``` - git clone https://github.com/datalad/datalad + git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 5.4K / month Β· πŸ“¦ 26 Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 24K / month Β· ⏱️ 19.02.2021): ``` - pip install datalad + pip install causalml + ``` +
+
kmodes (πŸ₯ˆ25 Β· ⭐ 860) - Python implementations of the k-modes and k-prototypes clustering.. MIT + +- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 340 Β· πŸ“¦ 580 Β· πŸ“‹ 130 - 13% open Β· ⏱️ 07.03.2021): + + ``` + git clone https://github.com/nicodv/kmodes ``` -- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 120K Β· ⏱️ 11.05.2021): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 120K / month Β· πŸ“¦ 26 Β· ⏱️ 13.02.2021): ``` - conda install -c conda-forge datalad + pip install kmodes ```
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PaddleHub (πŸ₯ˆ24 Β· ⭐ 5K) - Awesome pre-trained models toolkit based on PaddlePaddle.(300+.. Apache-2 +
pyjanitor (πŸ₯ˆ25 Β· ⭐ 680) - Clean APIs for data cleaning. Python implementation of R package Janitor. MIT -- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“₯ 500 Β· πŸ“¦ 230 Β· πŸ“‹ 790 - 29% open Β· ⏱️ 08.05.2021): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 120 Β· πŸ“¦ 99 Β· πŸ“‹ 390 - 25% open Β· ⏱️ 20.05.2021): ``` - git clone https://github.com/PaddlePaddle/PaddleHub + git clone https://github.com/ericmjl/pyjanitor ``` -- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 2.8K / month Β· ⏱️ 27.04.2021): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 11K / month Β· πŸ“¦ 4 Β· ⏱️ 25.02.2021): ``` - pip install paddlehub + pip install pyjanitor + ``` +- [Conda](https://anaconda.org/conda-forge/pyjanitor) (πŸ“₯ 90K Β· ⏱️ 25.03.2021): + ``` + conda install -c conda-forge pyjanitor ```
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Gradio (πŸ₯ˆ24 Β· ⭐ 2.5K) - Wrap UIs around any model, share with anyone. Apache-2 +
Gradio (πŸ₯ˆ24 Β· ⭐ 2.7K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 160 Β· πŸ“¦ 130 Β· πŸ“‹ 110 - 7% open Β· ⏱️ 09.05.2021): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 180 Β· πŸ“¦ 150 Β· πŸ“‹ 130 - 13% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 5.7K / month Β· πŸ“¦ 2 Β· ⏱️ 30.04.2021): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 6.6K / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2021): ``` pip install gradio ```
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modAL (πŸ₯ˆ24 Β· ⭐ 1.2K) - A modular active learning framework for Python. MIT +
modAL (πŸ₯ˆ24 Β· ⭐ 1.3K) - A modular active learning framework for Python. MIT -- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 190 Β· πŸ“₯ 12 Β· πŸ“¦ 72 Β· πŸ“‹ 100 - 51% open Β· ⏱️ 07.01.2021): +- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 200 Β· πŸ“₯ 14 Β· πŸ“¦ 77 Β· πŸ“‹ 110 - 51% open Β· ⏱️ 07.01.2021): ``` git clone https://github.com/modAL-python/modAL ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 3.3K / month Β· πŸ“¦ 8 Β· ⏱️ 07.01.2021): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 2.7K / month Β· πŸ“¦ 8 Β· ⏱️ 07.01.2021): ``` pip install modAL ```
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PennyLane (πŸ₯ˆ24 Β· ⭐ 850) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 +
pycm (πŸ₯ˆ24 Β· ⭐ 1.1K Β· πŸ“ˆ) - Multi-class confusion matrix library in Python. MIT -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 250 Β· πŸ“₯ 56 Β· πŸ“‹ 380 - 26% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 94 Β· πŸ“¦ 100 Β· πŸ“‹ 170 - 7% open Β· ⏱️ 11.03.2021): + + ``` + git clone https://github.com/sepandhaghighi/pycm + ``` +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 12K / month Β· πŸ“¦ 10 Β· ⏱️ 11.03.2021): + ``` + pip install pycm + ``` +
+
PennyLane (πŸ₯ˆ24 Β· ⭐ 880) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 + +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 270 Β· πŸ“₯ 56 Β· πŸ“‹ 410 - 25% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 5.6K / month Β· πŸ“¦ 20 Β· ⏱️ 03.05.2021): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 6.2K / month Β· πŸ“¦ 20 Β· ⏱️ 03.05.2021): ``` pip install pennylane ```
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pyclustering (πŸ₯ˆ24 Β· ⭐ 830 Β· πŸ“‰) - pyclustring is a Python, C++ data mining library. BSD-3 +
pyclustering (πŸ₯ˆ24 Β· ⭐ 840) - pyclustring is a Python, C++ data mining library. BSD-3 -- [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 190 Β· πŸ“₯ 330 Β· πŸ“¦ 200 Β· πŸ“‹ 640 - 8% open Β· ⏱️ 12.02.2021): +- [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 200 Β· πŸ“₯ 330 Β· πŸ“¦ 200 Β· πŸ“‹ 640 - 8% open Β· ⏱️ 12.02.2021): ``` git clone https://github.com/annoviko/pyclustering ``` -- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 36K / month Β· πŸ“¦ 36 Β· ⏱️ 25.11.2020): +- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 50K / month Β· πŸ“¦ 36 Β· ⏱️ 25.11.2020): ``` pip install pyclustering ``` -- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 21K Β· ⏱️ 25.01.2021): +- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 22K Β· ⏱️ 25.01.2021): ``` conda install -c conda-forge pyclustering ```
pyopencl (πŸ₯ˆ24 Β· ⭐ 810) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 220 Β· πŸ“¦ 510 Β· πŸ“‹ 280 - 21% open Β· ⏱️ 03.05.2021): +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 210 Β· πŸ“¦ 520 Β· πŸ“‹ 280 - 21% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 19K / month Β· πŸ“¦ 240 Β· ⏱️ 05.04.2021): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 15K / month Β· πŸ“¦ 240 Β· ⏱️ 21.05.2021): ``` pip install pyopencl ``` -- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 400K Β· ⏱️ 05.04.2021): +- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 420K Β· ⏱️ 22.05.2021): ``` conda install -c conda-forge pyopencl ```
PySwarms (πŸ₯ˆ24 Β· ⭐ 780) - A research toolkit for particle swarm optimization in Python. MIT -- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 240 Β· πŸ“¦ 110 Β· πŸ“‹ 180 - 12% open Β· ⏱️ 02.04.2021): +- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 240 Β· πŸ“¦ 110 Β· πŸ“‹ 180 - 13% open Β· ⏱️ 02.04.2021): ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 5.1K / month Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 5.8K / month Β· ⏱️ 03.01.2021): ``` pip install pyswarms ```
findspark (πŸ₯ˆ24 Β· ⭐ 400 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 -- [GitHub](https://github.com/minrk/findspark) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 68 Β· πŸ“¦ 1.7K Β· πŸ“‹ 19 - 57% open Β· ⏱️ 08.06.2020): +- [GitHub](https://github.com/minrk/findspark) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 69 Β· πŸ“¦ 1.7K Β· πŸ“‹ 19 - 57% open Β· ⏱️ 08.06.2020): ``` git clone https://github.com/minrk/findspark ``` -- [PyPi](https://pypi.org/project/findspark) (πŸ“₯ 1.1M / month Β· πŸ“¦ 200 Β· ⏱️ 08.06.2020): +- [PyPi](https://pypi.org/project/findspark) (πŸ“₯ 1.3M / month Β· πŸ“¦ 200 Β· ⏱️ 08.06.2020): ``` pip install findspark ``` -- [Conda](https://anaconda.org/conda-forge/findspark) (πŸ“₯ 540K Β· ⏱️ 06.07.2018): +- [Conda](https://anaconda.org/conda-forge/findspark) (πŸ“₯ 550K Β· ⏱️ 06.07.2018): ``` conda install -c conda-forge findspark ```
+
datalad (πŸ₯ˆ24 Β· ⭐ 250) - Keep code, data, containers under control with git and git-annex. MIT + +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 73 Β· πŸ“‹ 3.1K - 23% open Β· ⏱️ 03.06.2021): + + ``` + git clone https://github.com/datalad/datalad + ``` +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 4.1K / month Β· πŸ“¦ 26 Β· ⏱️ 10.05.2021): + ``` + pip install datalad + ``` +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 130K Β· ⏱️ 11.05.2021): + ``` + conda install -c conda-forge datalad + ``` +
metric-learn (πŸ₯‰23 Β· ⭐ 1.1K) - Metric learning algorithms in Python. MIT - [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 220 Β· πŸ“¦ 140 Β· πŸ“‹ 160 - 32% open Β· ⏱️ 26.04.2021): @@ -9439,162 +9399,150 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 8K / month Β· πŸ“¦ 18 Β· ⏱️ 02.07.2020): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 6.9K / month Β· πŸ“¦ 18 Β· ⏱️ 02.07.2020): ``` pip install metric-learn ```
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TabPy (πŸ₯‰23 Β· ⭐ 1.1K Β· πŸ“‰) - Execute Python code on the fly and display results in Tableau.. MIT +
TabPy (πŸ₯‰23 Β· ⭐ 1.1K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT -- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 400 Β· πŸ“¦ 61 Β· πŸ“‹ 280 - 3% open Β· ⏱️ 04.02.2021): +- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 410 Β· πŸ“¦ 62 Β· πŸ“‹ 280 - 4% open Β· ⏱️ 04.02.2021): ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 22K / month Β· ⏱️ 11.11.2020): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 13K / month Β· ⏱️ 11.11.2020): ``` pip install tabpy ```
tensorly (πŸ₯‰23 Β· ⭐ 1K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 200 Β· πŸ“¦ 140 Β· πŸ“‹ 140 - 24% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 200 Β· πŸ“¦ 150 Β· πŸ“‹ 140 - 23% open Β· ⏱️ 03.06.2021): ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 8.7K / month Β· πŸ“¦ 20 Β· ⏱️ 14.04.2021): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 5.9K / month Β· πŸ“¦ 20 Β· ⏱️ 14.04.2021): ``` pip install tensorly ``` -- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 130K Β· ⏱️ 07.12.2020): +- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 140K Β· ⏱️ 07.12.2020): ``` conda install -c conda-forge tensorly ```
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pycm (πŸ₯‰22 Β· ⭐ 1.1K) - Multi-class confusion matrix library in Python. MIT - -- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 93 Β· πŸ“¦ 99 Β· πŸ“‹ 170 - 7% open Β· ⏱️ 11.03.2021): - - ``` - git clone https://github.com/sepandhaghighi/pycm - ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 7K / month Β· πŸ“¦ 10 Β· ⏱️ 11.03.2021): - ``` - pip install pycm - ``` -
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alibi-detect (πŸ₯‰22 Β· ⭐ 680) - Algorithms for outlier and adversarial instance detection,.. Apache-2 - -- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 68 Β· πŸ“¦ 22 Β· πŸ“‹ 120 - 47% open Β· ⏱️ 12.05.2021): - - ``` - git clone https://github.com/SeldonIO/alibi-detect - ``` -- [PyPi](https://pypi.org/project/alibi-detect) (πŸ“₯ 8.2K / month Β· πŸ“¦ 1 Β· ⏱️ 06.05.2021): - ``` - pip install alibi-detect - ``` -
Prince (πŸ₯‰22 Β· ⭐ 640) - Python factor analysis library (PCA, CA, MCA, MFA, FAMD). MIT -- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 94 - 30% open Β· ⏱️ 11.01.2021): +- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 96 - 31% open Β· ⏱️ 11.01.2021): ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 8.5K / month Β· πŸ“¦ 6 Β· ⏱️ 06.10.2020): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 11K / month Β· πŸ“¦ 6 Β· ⏱️ 06.10.2020): ``` pip install prince ```
scikit-rebate (πŸ₯‰22 Β· ⭐ 320) - A scikit-learn-compatible Python implementation of ReBATE, a.. MIT -- [GitHub](https://github.com/EpistasisLab/scikit-rebate) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 58 Β· πŸ“¦ 130 Β· πŸ“‹ 32 - 40% open Β· ⏱️ 15.02.2021): +- [GitHub](https://github.com/EpistasisLab/scikit-rebate) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 58 Β· πŸ“¦ 140 Β· πŸ“‹ 32 - 40% open Β· ⏱️ 15.02.2021): ``` git clone https://github.com/EpistasisLab/scikit-rebate ``` -- [PyPi](https://pypi.org/project/skrebate) (πŸ“₯ 2.2K / 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 ```
Mars (πŸ₯‰21 Β· ⭐ 2.1K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 -- [GitHub](https://github.com/mars-project/mars) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 250 Β· πŸ“¦ 5 Β· πŸ“‹ 800 - 15% open Β· ⏱️ 11.05.2021): +- [GitHub](https://github.com/mars-project/mars) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 250 Β· πŸ“¦ 5 Β· πŸ“‹ 810 - 15% open Β· ⏱️ 02.06.2021): ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 920 / month Β· ⏱️ 11.04.2021): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 530 / month Β· ⏱️ 11.04.2021): ``` pip install pymars ```
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SUOD (πŸ₯‰21 Β· ⭐ 260) - (MLSys' 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 +
alibi-detect (πŸ₯‰21 Β· ⭐ 700) - Algorithms for outlier, adversarial and drift detection. Apache-2 + +- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 71 Β· πŸ“¦ 23 Β· πŸ“‹ 130 - 45% open Β· ⏱️ 21.05.2021): + + ``` + git clone https://github.com/SeldonIO/alibi-detect + ``` +- [PyPi](https://pypi.org/project/alibi-detect) (πŸ“₯ 6.7K / month Β· πŸ“¦ 1 Β· ⏱️ 06.05.2021): + ``` + pip install alibi-detect + ``` +
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SUOD (πŸ₯‰21 Β· ⭐ 270) - (MLSys' 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 -- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 30 Β· πŸ“¦ 320 Β· πŸ“‹ 5 - 60% open Β· ⏱️ 19.01.2021): +- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 30 Β· πŸ“¦ 330 Β· πŸ“‹ 5 - 60% open Β· ⏱️ 19.01.2021): ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 16K / month Β· ⏱️ 15.01.2021): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 22K / month Β· ⏱️ 15.01.2021): ``` pip install suod ```
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AstroML (πŸ₯‰20 Β· ⭐ 740) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 +
AstroML (πŸ₯‰20 Β· ⭐ 750) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 -- [GitHub](https://github.com/astroML/astroML) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 260 Β· πŸ“‹ 130 - 36% open Β· ⏱️ 07.04.2021): +- [GitHub](https://github.com/astroML/astroML) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 270 Β· πŸ“‹ 140 - 38% open Β· ⏱️ 07.04.2021): ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.5K / month Β· πŸ“¦ 29 Β· ⏱️ 23.03.2020): +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.4K / month Β· πŸ“¦ 29 Β· ⏱️ 23.03.2020): ``` pip install astroML ``` -- [Conda](https://anaconda.org/conda-forge/astroml) (πŸ“₯ 23K Β· ⏱️ 16.02.2020): +- [Conda](https://anaconda.org/conda-forge/astroml) (πŸ“₯ 24K Β· ⏱️ 16.02.2020): ``` conda install -c conda-forge astroml ```
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Feature Engine (πŸ₯‰20 Β· ⭐ 530) - Feature engineering package with sklearn like functionality. BSD-3 +
Feature Engine (πŸ₯‰20 Β· ⭐ 540) - Feature engineering package with sklearn like functionality. BSD-3 -- [GitHub](https://github.com/solegalli/feature_engine) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 140 Β· πŸ“‹ 110 - 26% open Β· ⏱️ 01.05.2021): +- [GitHub](https://github.com/solegalli/feature_engine) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 150 Β· πŸ“‹ 110 - 26% open Β· ⏱️ 01.05.2021): ``` git clone https://github.com/solegalli/feature_engine ``` -- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 23K / month Β· πŸ“¦ 2 Β· ⏱️ 23.01.2021): +- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 29K / month Β· πŸ“¦ 2 Β· ⏱️ 23.01.2021): ``` pip install feature_engine ``` -- [Conda](https://anaconda.org/conda-forge/feature_engine) (πŸ“₯ 2.9K Β· ⏱️ 25.01.2021): +- [Conda](https://anaconda.org/conda-forge/feature_engine) (πŸ“₯ 3.1K Β· ⏱️ 25.01.2021): ``` conda install -c conda-forge feature_engine ```
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BioPandas (πŸ₯‰20 Β· ⭐ 340) - Working with molecular structures in pandas DataFrames. BSD-3 +
BioPandas (πŸ₯‰20 Β· ⭐ 360) - Working with molecular structures in pandas DataFrames. BSD-3 -- [GitHub](https://github.com/rasbt/biopandas) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 78 Β· πŸ“¦ 55 Β· πŸ“‹ 36 - 41% open Β· ⏱️ 07.04.2021): +- [GitHub](https://github.com/rasbt/biopandas) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 82 Β· πŸ“¦ 55 Β· πŸ“‹ 36 - 41% open Β· ⏱️ 07.04.2021): ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 930 / month Β· πŸ“¦ 6 Β· ⏱️ 03.03.2021): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 980 / month Β· πŸ“¦ 6 Β· ⏱️ 03.03.2021): ``` pip install biopandas ``` -- [Conda](https://anaconda.org/conda-forge/biopandas) (πŸ“₯ 74K Β· ⏱️ 08.08.2020): +- [Conda](https://anaconda.org/conda-forge/biopandas) (πŸ“₯ 76K Β· ⏱️ 08.08.2020): ``` conda install -c conda-forge biopandas ```
StreamAlert (πŸ₯‰19 Β· ⭐ 2.5K) - StreamAlert is a serverless, realtime data analysis framework.. Apache-2 -- [GitHub](https://github.com/airbnb/streamalert) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 290 Β· πŸ“‹ 340 - 26% open Β· ⏱️ 10.02.2021): +- [GitHub](https://github.com/airbnb/streamalert) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 300 Β· πŸ“‹ 340 - 26% open Β· ⏱️ 10.02.2021): ``` git clone https://github.com/airbnb/streamalert @@ -9602,7 +9550,7 @@ _Libraries for connecting to, operating, and querying databases._
River (πŸ₯‰19 Β· ⭐ 1.6K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 210 Β· πŸ“¦ 12 Β· πŸ“‹ 310 - 10% open Β· ⏱️ 13.05.2021): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 210 Β· πŸ“¦ 19 Β· πŸ“‹ 310 - 10% open Β· ⏱️ 20.05.2021): ``` git clone https://github.com/online-ml/river @@ -9615,52 +9563,52 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/alegonz/baikal ``` -- [PyPi](https://pypi.org/project/baikal) (πŸ“₯ 530 / month Β· ⏱️ 15.11.2020): +- [PyPi](https://pypi.org/project/baikal) (πŸ“₯ 250 / month Β· ⏱️ 15.11.2020): ``` pip install baikal ``` -- [Conda](https://anaconda.org/conda-forge/cython-blis) (πŸ“₯ 890K Β· ⏱️ 31.01.2021): +- [Conda](https://anaconda.org/conda-forge/cython-blis) (πŸ“₯ 930K Β· ⏱️ 31.01.2021): ``` conda install -c conda-forge cython-blis ```
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rrcf (πŸ₯‰19 Β· ⭐ 300 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT +
rrcf (πŸ₯‰19 Β· ⭐ 310 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT -- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 74 Β· πŸ“¦ 19 Β· πŸ“‹ 36 - 52% open Β· ⏱️ 10.06.2020): +- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 76 Β· πŸ“¦ 19 Β· πŸ“‹ 37 - 54% open Β· ⏱️ 10.06.2020): ``` git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 3.8K / month Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 4.2K / month Β· ⏱️ 10.06.2020): ``` pip install rrcf ```
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apricot (πŸ₯‰18 Β· ⭐ 310) - apricot implements submodular optimization for the purpose of selecting.. MIT +
apricot (πŸ₯‰18 Β· ⭐ 320) - apricot implements submodular optimization for the purpose of selecting.. MIT -- [GitHub](https://github.com/jmschrei/apricot) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 29 Β· πŸ“₯ 8 Β· πŸ“¦ 16 Β· πŸ“‹ 17 - 17% open Β· ⏱️ 18.02.2021): +- [GitHub](https://github.com/jmschrei/apricot) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 29 Β· πŸ“₯ 8 Β· πŸ“¦ 17 Β· πŸ“‹ 17 - 17% open Β· ⏱️ 18.02.2021): ``` git clone https://github.com/jmschrei/apricot ``` -- [PyPi](https://pypi.org/project/apricot-select) (πŸ“₯ 1.4K / month Β· ⏱️ 28.09.2020): +- [PyPi](https://pypi.org/project/apricot-select) (πŸ“₯ 1.2K / month Β· ⏱️ 28.09.2020): ``` pip install apricot-select ```
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opyrator (πŸ₯‰17 Β· ⭐ 2.1K Β· 🐣) - Turns your machine learning code into microservices with web API,.. MIT +
opyrator (πŸ₯‰17 Β· ⭐ 2.2K Β· 🐣) - Turns your machine learning code into microservices with web API,.. MIT -- [GitHub](https://github.com/ml-tooling/opyrator) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 75 Β· πŸ“¦ 5 Β· πŸ“‹ 20 - 70% open Β· ⏱️ 06.05.2021): +- [GitHub](https://github.com/ml-tooling/opyrator) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 86 Β· πŸ“¦ 9 Β· πŸ“‹ 20 - 70% open Β· ⏱️ 06.05.2021): ``` git clone https://github.com/ml-tooling/opyrator ``` -- [PyPi](https://pypi.org/project/opyrator) (πŸ“₯ 1.1K / month Β· ⏱️ 04.05.2021): +- [PyPi](https://pypi.org/project/opyrator) (πŸ“₯ 580 / month Β· ⏱️ 04.05.2021): ``` pip install opyrator ```
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traingenerator (πŸ₯‰10 Β· ⭐ 1K Β· 🐣) - A web app to generate template code for machine learning. MIT +
traingenerator (πŸ₯‰11 Β· ⭐ 1K Β· 🐣) - A web app to generate template code for machine learning. MIT - [GitHub](https://github.com/jrieke/traingenerator) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 130 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 29.04.2021): @@ -9671,12 +9619,12 @@ _Libraries for connecting to, operating, and querying databases._
Show 8 hidden projects... - pysc2 (πŸ₯ˆ25 Β· ⭐ 7.3K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 -- minisom (πŸ₯‰22 Β· ⭐ 830) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 -- cleanlab (πŸ₯‰21 Β· ⭐ 1.9K) - The standard package for machine learning with noisy labels and.. ❗️GPL-3.0 -- mlens (πŸ₯‰21 Β· ⭐ 690 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT -- gplearn (πŸ₯‰20 Β· ⭐ 930 Β· πŸ’€) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 +- minisom (πŸ₯‰22 Β· ⭐ 850) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 +- cleanlab (πŸ₯‰21 Β· ⭐ 2K) - The standard package for machine learning with noisy labels and.. ❗️GPL-3.0 +- gplearn (πŸ₯‰20 Β· ⭐ 940 Β· πŸ’€) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 +- mlens (πŸ₯‰20 Β· ⭐ 690 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT - impyute (πŸ₯‰20 Β· ⭐ 280 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT -- vecstack (πŸ₯‰19 Β· ⭐ 600 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT +- vecstack (πŸ₯‰19 Β· ⭐ 620 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT - pandas-ml (πŸ₯‰19 Β· ⭐ 270 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3
diff --git a/history/2021-06-03_changes.md b/history/2021-06-03_changes.md new file mode 100644 index 00000000..63cf0e44 --- /dev/null +++ b/history/2021-06-03_changes.md @@ -0,0 +1,30 @@ +## 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._ + +- Celery (πŸ₯‡40 Β· ⭐ 17K Β· πŸ“ˆ) - Asynchronous task queue/job queue based on distributed message passing. BSD-3 +- SymPy (πŸ₯‡36 Β· ⭐ 8.1K Β· πŸ“ˆ) - A computer algebra system written in pure Python. BSD-3 +- Albumentations (πŸ₯ˆ30 Β· ⭐ 8.1K Β· πŸ“ˆ) - Fast image augmentation library and an easy-to-use.. MIT +- AutoKeras (πŸ₯‡29 Β· ⭐ 8K Β· πŸ“ˆ) - AutoML library for deep learning. Apache-2 +- pycm (πŸ₯ˆ24 Β· ⭐ 1.1K Β· πŸ“ˆ) - Multi-class confusion matrix library in Python. MIT +- TensorFlow Privacy (πŸ₯ˆ23 Β· ⭐ 1.4K Β· πŸ“ˆ) - Library for training machine learning models with.. Apache-2 +- Sentinelsat (πŸ₯‰23 Β· ⭐ 610 Β· πŸ“ˆ) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- checklist (πŸ₯ˆ22 Β· ⭐ 1.4K Β· πŸ“ˆ) - Beyond Accuracy: Behavioral Testing of NLP models with.. MIT +- lets-plot (πŸ₯‰22 Β· ⭐ 620 Β· πŸ“ˆ) - An open-source plotting library for statistical data. MIT +- pycls (πŸ₯‰17 Β· ⭐ 1.6K Β· πŸ“ˆ) - Codebase for Image Classification Research, written in PyTorch. MIT + +## 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._ + +- Airflow (πŸ₯ˆ32 Β· ⭐ 22K Β· πŸ“‰) - Platform to programmatically author, schedule, and monitor.. Apache-2 +- Tablib (πŸ₯ˆ30 Β· ⭐ 4K Β· πŸ“‰) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. MIT +- Cython BLIS (πŸ₯ˆ26 Β· ⭐ 170 Β· πŸ“‰) - Fast matrix-multiplication as a self-contained Python library.. BSD-3 +- textacy (πŸ₯‰25 Β· ⭐ 1.7K Β· πŸ“‰) - NLP, before and after spaCy. Apache-2 +- tesserocr (πŸ₯ˆ25 Β· ⭐ 1.5K Β· πŸ“‰) - A Python wrapper for the tesseract-ocr API. MIT +- DeepSpeech (πŸ₯‰24 Β· ⭐ 17K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- tabulator-py (πŸ₯‰24 Β· ⭐ 210 Β· πŸ“‰) - Python library for reading and writing tabular data via streams. MIT +- pyvips (πŸ₯‰22 Β· ⭐ 320 Β· πŸ“‰) - python binding for libvips using cffi. MIT +- combo (πŸ₯‰21 Β· ⭐ 500 Β· πŸ“‰) - (AAAI' 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost +- DALI (πŸ₯‰17 Β· ⭐ 3.3K Β· πŸ“‰) - A GPU-accelerated library containing highly optimized building.. Apache-2 + diff --git a/history/2021-06-03_projects.csv b/history/2021-06-03_projects.csv new file mode 100644 index 00000000..21ff3fd0 --- /dev/null +++ b/history/2021-06-03_projects.csv @@ -0,0 +1,845 @@ +,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,apt_id,yum_id,updated_github_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,gitlab_id,gitlab_url +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 13:21:43.000000,2021-05-28 13:59:49.000000,2021-05-23 16:47:37.000000,359,32.0,62.0,2254,1217.0,Benchmarks of approximate nearest neighbor libraries in Python.,57.0,0,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,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-06-03 15:38:46.000000,2021-05-14 08:30:59.000000,81,,2.0,1235,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-05-14 08:31:08.000000,2021.05.13,16.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,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 19:11:32.000000,2021-06-03 15:18:12.000000,2021-05-14 08:31:36.000000,130,2.0,3.0,1644,,Collection of database clients for python.,5.0,0,True,2021-05-14 08:31:44.000000,2021.05.13,16.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-06-03 14:01:23.000000,2021-06-03 14:00:43.000000,84790,3957.0,28078.0,158214,111737.0,An Open Source Machine Learning Framework for Everyone.,3679.0,44,True,2021-05-13 18:18:51.000000,2.5.0,121.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],163373.0,140849.0,https://pypi.org/project/tensorflow,2021-05-13 17:28:39.000000,22524.0,10186783.0,11019964.0,https://anaconda.org/conda-forge/tensorflow,2021-04-30 05:11:44.185000,2577782.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-06-03 13:34:00.172392,1909.0,53081737.0,1.0,,,,,,,,,,,,,,,,,,,,,, +4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-06-03 12:31:31.000000,2021-06-03 05:40:22.000000,12463,3654.0,17146.0,29932,26969.0,"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..",2688.0,43,True,2021-04-12 18:43:31.000000,1.2.4,91.0,pandas,conda-forge/pandas,,,['pandas'],534991.0,458207.0,https://pypi.org/project/pandas,2021-04-12 18:43:31.000000,76784.0,49432541.0,49707080.0,https://anaconda.org/conda-forge/pandas,2021-04-13 16:22:06.030000,16672481.0,,,,,1.0,108647.0,,,,,,,,,,,,,,,,,,,,, +5,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-06-03 11:22:24.000000,2021-06-03 07:59:17.000000,3711,1618.0,5962.0,8265,25822.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1122.0,42,True,2021-04-26 02:11:23.000000,1.6.3,63.0,scipy,conda-forge/scipy,,,,438632.0,351770.0,https://pypi.org/project/scipy,2021-04-26 00:22:45.000000,86862.0,29500574.0,29749917.0,https://anaconda.org/conda-forge/scipy,2021-04-27 23:19:03.675000,14936465.0,,,,,1.0,318345.0,,,,,,,,,,,,,,,,,,,,, +6,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-06-03 14:17:18.000000,2021-06-03 13:43:23.000000,12681,8648.0,14277.0,48591,37332.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2697.0,41,True,2021-03-25 16:07:08.000000,1.8.1,32.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],85929.0,79247.0,https://pypi.org/project/torch,2021-03-25 15:54:32.000000,6682.0,3907568.0,4170555.0,https://anaconda.org/pytorch/pytorch,2021-03-25 16:42:58.661000,11308465.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +7,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-06-03 14:14:20.000000,2021-06-02 21:15:05.000000,5828,1665.0,6271.0,13713,39238.0,matplotlib: plotting with Python.,1237.0,41,True,2021-05-08 05:47:47.000000,3.4.2,68.0,matplotlib,conda-forge/matplotlib,,,,458380.0,379276.0,https://pypi.org/project/matplotlib,2021-05-08 05:47:47.000000,79104.0,21000081.0,21130420.0,https://anaconda.org/conda-forge/matplotlib,2021-05-10 22:47:57.893000,8993425.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +8,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-06-03 14:16:32.000000,2021-06-01 12:09:39.000000,4001,511.0,4005.0,17356,11607.0,Asynchronous task queue/job queue based on distributed message passing.,1116.0,40,True,2021-05-26 15:28:52.000000,5.1.0,175.0,celery,conda-forge/celery,,,,81790.0,53556.0,https://pypi.org/project/celery,2021-05-23 16:30:39.000000,28234.0,4967230.0,4975204.0,https://anaconda.org/conda-forge/celery,2021-03-24 04:34:11.646000,502381.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,,, +9,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-06-03 13:44:31.000000,2021-05-25 12:38:58.000000,1621,214.0,2015.0,8558,11736.0,The friendly PIL fork (Python Imaging Library).,359.0,40,True,2021-04-01 20:55:51.000000,8.2.0,80.0,Pillow,conda-forge/pillow,,,,590025.0,478599.0,https://pypi.org/project/Pillow,2021-04-01 20:53:21.000000,111426.0,31107618.0,31247373.0,https://anaconda.org/conda-forge/pillow,2021-05-17 22:12:54.346000,8664818.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +10,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-06-03 12:52:52.000000,2021-06-03 12:52:41.000000,23914,214.0,,29989,30234.0,Apache Spark Python API.,2466.0,38,True,2021-05-27 17:18:30.000000,3.1.2,25.0,pyspark,conda-forge/pyspark,,,['spark'],1352.0,592.0,https://pypi.org/project/pyspark,2021-05-27 17:18:30.000000,760.0,10063310.0,10084391.0,https://anaconda.org/conda-forge/pyspark,2021-05-29 01:33:32.376000,1075135.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,,, +11,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-06-03 14:48:43.000000,2021-05-31 19:59:29.000000,5540,2281.0,7569.0,17313,,The fundamental package for scientific computing with Python.,1268.0,38,True,2021-05-10 15:39:14.000000,1.20.3,99.0,numpy,conda-forge/numpy,,,,897391.0,727669.0,https://pypi.org/project/numpy,2021-05-24 15:55:21.000000,169722.0,75617244.0,75947419.0,https://anaconda.org/conda-forge/numpy,2021-05-26 08:31:16.607000,19755078.0,,,,,1.0,347724.0,,,,,,,,,,,,,,,,,,,,, +12,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 09:43:38.000000,2021-06-03 13:56:06.000000,2021-06-03 13:47:34.000000,21478,2361.0,6914.0,45986,,scikit-learn: machine learning in Python.,2237.0,37,True,2021-04-28 17:20:23.000000,0.24.2,54.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],265946.0,228058.0,https://pypi.org/project/scikit-learn,2021-04-28 11:18:29.000000,37888.0,22083606.0,22217026.0,https://anaconda.org/conda-forge/scikit-learn,2021-04-28 21:30:13.539000,8137980.0,,,,,1.0,694.0,,,,,,,,,,,,,,,,,,,,, +13,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-06-03 11:10:53.000000,2021-06-02 23:05:55.000000,7983,296.0,3785.0,21076,5353.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",521.0,37,True,2021-05-13 11:35:17.000000,1.4.2,57.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,19233.0,17641.0,https://pypi.org/project/xgboost,2021-05-13 11:49:10.000000,1592.0,5316673.0,5349432.0,https://anaconda.org/conda-forge/xgboost,2021-04-29 20:56:44.761000,1669263.0,,,,,1.0,2526.0,,,,,,,,,,,,,,,,,,,,, +14,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-06-03 07:05:26.000000,2021-06-02 09:50:49.000000,3432,116.0,4574.0,20570,14526.0,Industrial-strength Natural Language Processing (NLP) in Python.,587.0,37,True,2021-05-18 06:23:32.000000,2.3.6,178.0,spacy,conda-forge/spacy,,,,28862.0,25796.0,https://pypi.org/project/spacy,2021-04-23 12:16:12.000000,3066.0,2227402.0,2267830.0,https://anaconda.org/conda-forge/spacy,2021-04-24 09:37:43.886000,2099447.0,,,,,1.0,3087.0,,,,,,,,,,,,,,,,,,,,, +15,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-06-02 19:25:06.340000,2021-06-02 15:47:24.000000,1429,146.0,368.0,12591,2650.0,Faker is a Python package that generates fake data for you.,403.0,37,True,2021-06-02 15:26:46.000000,8.5.0,144.0,Faker,conda-forge/faker,,,,34267.0,29555.0,https://pypi.org/project/Faker,2021-06-02 15:26:38.000000,4712.0,4284660.0,4293210.0,https://anaconda.org/conda-forge/faker,2021-06-02 19:25:06.340000,436065.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +16,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-06-03 01:44:12.000000,2021-05-14 19:52:22.000000,1420,92.0,1770.0,8469,2780.0,Statistical data visualization using matplotlib.,153.0,37,True,2021-03-29 17:36:25.000000,joss_paper,23.0,seaborn,conda-forge/seaborn,,,,110947.0,98161.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,5084439.0,5125804.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2399166.0,,,,,1.0,165.0,,,,,,,,,,,,,,,,,,,,, +17,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-06-03 14:04:11.000000,2021-06-03 10:35:26.000000,11107,396.0,6587.0,46741,7278.0,"Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.",898.0,36,True,2021-05-20 14:57:12.000000,4.6.1,58.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",11853.0,11725.0,https://pypi.org/project/transformers,2021-05-20 14:54:53.000000,128.0,2513353.0,2515532.0,https://anaconda.org/conda-forge/transformers,2021-05-21 15:11:50.971000,42722.0,,,,,1.0,1337.0,,,,,,,,,,,,,,,,,,,,, +18,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-05-31 19:57:33.000000,2021-05-17 23:19:33.000000,6980,302.0,1070.0,24334,1245.0,A toolkit for developing and comparing reinforcement learning algorithms.,275.0,36,True,2021-05-18 00:09:21.000000,0.18.3,93.0,gym,,,,,24245.0,20683.0,https://pypi.org/project/gym,2021-05-18 00:09:21.000000,3562.0,1083057.0,1083057.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +19,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-06-03 11:32:08.000000,2021-06-03 11:32:08.000000,3286,119.0,2161.0,12580,2523.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",227.0,36,True,2021-04-12 23:03:24.000000,3.2.1,25.0,lightgbm,conda-forge/lightgbm,,,,7823.0,7267.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,3946514.0,3961434.0,https://anaconda.org/conda-forge/lightgbm,2021-04-20 13:04:15.819000,602944.0,,,,,1.0,104630.0,,,,,,,,,,,,,,,,,,,,, +20,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-06-01 01:56:45.000000,2021-06-01 01:56:45.000000,3984,364.0,1302.0,12124,4144.0,Topic Modelling for Humans.,402.0,36,True,2021-04-01 14:19:26.000000,4.0.1,85.0,gensim,conda-forge/gensim,,,,28766.0,24024.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,8511599.0,8526358.0,https://anaconda.org/conda-forge/gensim,2021-04-02 10:56:03.560000,661994.0,,,,,1.0,3305.0,,,,,,,,,,,,,,,,,,,,, +21,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-06-02 14:28:58.000000,2021-06-01 11:20:17.000000,1813,885.0,1093.0,9598,5046.0,The interactive graphing library for Python (includes Plotly Express).,175.0,36,True,2021-01-12 17:01:21.000000,4.14.3,266.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-05-31 20:58:35.000000,4982.0,5382852.0,5443239.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1432453.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,35690.0,,,,,,,,,,,,,, +22,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-06-03 14:22:08.000000,2021-06-03 14:22:07.000000,4716,465.0,1284.0,9173,1771.0,"Datasets, Transforms and Models specific to Computer Vision.",387.0,36,True,2021-03-25 17:51:25.000000,0.9.1,23.0,torchvision,conda-forge/torchvision,,,['pytorch'],56487.0,51875.0,https://pypi.org/project/torchvision,2021-03-25 16:28:06.000000,4612.0,1659851.0,1661408.0,https://anaconda.org/conda-forge/torchvision,2021-04-22 07:21:30.407000,65412.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +23,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-06-03 13:37:46.000000,2021-06-03 01:22:19.000000,3408,4144.0,7360.0,8125,47000.0,A computer algebra system written in pure Python.,1069.0,36,True,2021-04-09 22:38:24.000000,sympy-1.8,37.0,sympy,conda-forge/sympy,,,,38795.0,32373.0,https://pypi.org/project/sympy,2021-04-09 22:41:01.000000,6422.0,1577383.0,1606330.0,https://anaconda.org/conda-forge/sympy,2021-04-10 01:00:41.286000,1492844.0,,,,,1.0,425217.0,1.0,,,,,,,,,,,,,,,,,,,, +24,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-06-03 14:30:27.000000,2021-06-03 14:30:19.000000,1918,159.0,599.0,7974,9316.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,684.0,36,True,2021-04-26 21:13:42.000000,4.0.0,32.0,pyarrow,conda-forge/arrow,,,,1030.0,44.0,https://pypi.org/project/pyarrow,2021-05-30 17:16:04.000000,986.0,24310252.0,24320070.0,https://anaconda.org/conda-forge/arrow,2021-05-06 18:27:26.800000,598935.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +25,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-06-02 23:24:57.000000,2021-06-02 23:02:45.000000,1391,552.0,979.0,5504,4549.0,TensorFlow's Visualization Toolkit.,261.0,36,True,2021-04-19 18:42:18.000000,2.5.0,37.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],70245.0,66631.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,10043696.0,10090874.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,2028683.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +26,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-05-28 00:10:00.000000,2021-04-28 16:45:14.000000,405,227.0,987.0,1519,3623.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,162.0,36,True,2021-03-05 10:04:46.000000,3.2.1,27.0,h5py,conda-forge/h5py,,,,140600.0,117664.0,https://pypi.org/project/h5py,2021-03-05 10:24:13.000000,22936.0,10119483.0,10203417.0,https://anaconda.org/conda-forge/h5py,2021-04-16 22:09:04.226000,5286514.0,,,,,1.0,1124.0,,,,,,,,,,,,,,,,,,,,, +27,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-06-03 14:08:55.000000,2021-06-03 14:08:53.000000,1467,444.0,585.0,14618,3544.0,"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.",77.0,35,True,2021-04-08 22:35:48.000000,1.20.0,137.0,dash,conda-forge/dash,,,,22608.0,21000.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,505182.0,512036.0,https://anaconda.org/conda-forge/dash,2021-04-10 06:31:33.446000,253600.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +28,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-06-03 13:50:06.000000,2021-06-03 13:49:56.000000,1166,764.0,1666.0,12845,8107.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",293.0,35,True,2021-05-04 00:58:32.000000,0.2.13,92.0,jax,conda-forge/jaxlib,,,,1769.0,1723.0,https://pypi.org/project/jax,2021-05-04 00:58:32.000000,46.0,566337.0,572014.0,https://anaconda.org/conda-forge/jaxlib,2021-05-18 05:56:35.288000,130589.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +29,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-06-02 16:11:42.000000,2021-05-29 23:11:17.000000,2467,235.0,1250.0,9913,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,397.0,35,True,2021-04-07 21:36:50.000000,3.6.1,41.0,nltk,conda-forge/nltk,,,,123618.0,102626.0,https://pypi.org/project/nltk,2021-04-07 21:36:50.000000,20992.0,8600109.0,8612584.0,https://anaconda.org/conda-forge/nltk,2021-04-20 15:34:03.018000,723602.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +30,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-06-03 12:46:03.000000,2021-06-02 17:50:03.000000,2321,279.0,2376.0,9174,,Network Analysis in Python.,518.0,35,True,2021-04-03 22:22:02.000000,2.5.1,54.0,networkx,conda-forge/networkx,,,,96984.0,76166.0,https://pypi.org/project/networkx,2021-05-31 20:30:58.000000,20818.0,13098902.0,13164895.0,https://anaconda.org/conda-forge/networkx,2021-04-04 01:32:23.917000,3695636.0,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,,,, +31,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-06-01 09:42:01.000000,2021-06-01 09:42:01.000000,286,291.0,363.0,2451,1374.0,Computing with Python functions.,101.0,35,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,112641.0,106031.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,23123575.0,23193961.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,4152812.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +32,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-06-03 13:41:32.000000,2021-06-02 15:15:10.000000,6836,1883.0,7631.0,19485,11601.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",960.0,34,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],2515.0,2071.0,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,243029.0,243566.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6205.0,,,,,2.0,23819.0,,,,,,,,0.0,,,,,,,,,,,,, +33,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-05-18 17:38:42.000000,2021-04-16 07:52:49.000000,2246,73.0,843.0,14589,3993.0,"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..",556.0,34,True,2021-04-16 09:12:59.000000,3.0.3,72.0,luigi,luigi,,,,2123.0,1447.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,949401.0,949513.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,7202.0,,,,,1.0,,,stable/luigi,,,,,,0.0,,,,,,,,,,,,, +34,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 00:45:57.000000,2021-06-03 14:11:10.000000,2021-06-02 15:19:10.000000,1613,312.0,3123.0,13728,5002.0,"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.",461.0,34,True,2021-05-26 15:11:35.000000,1.3.3,171.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],3187.0,3173.0,https://pypi.org/project/pytorch-lightning,2021-05-26 15:11:35.000000,14.0,439544.0,451767.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-05-26 18:13:59.046000,144880.0,,,,,2.0,3452.0,,,,,,,,,,,,,,,,,,,,, +35,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-05-31 21:09:39.000000,2021-05-17 19:05:26.000000,1857,1055.0,530.0,12844,1930.0,A game theoretic approach to explain the output of any machine learning model.,156.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,2808.0,2672.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,2628377.0,2643586.0,https://anaconda.org/conda-forge/shap,2021-04-29 12:11:05.706000,517111.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +36,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-06-01 16:10:34.000000,2021-05-28 00:50:31.000000,1964,536.0,1047.0,10718,1755.0,Open standard for machine learning interoperability.,200.0,34,True,2021-04-19 19:22:57.000000,1.9.0,21.0,onnx,conda-forge/onnx,,,,3530.0,3234.0,https://pypi.org/project/onnx,2021-04-19 19:22:57.000000,296.0,1555249.0,1561181.0,https://anaconda.org/conda-forge/onnx,2021-05-08 08:02:42.009000,241172.0,,,,,1.0,14277.0,,,,,,,,,,,,,,,,,,,,, +37,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-04-29 07:32:59.000000,2021-04-13 19:05:58.000000,2514,674.0,2085.0,9416,28126.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",384.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,16544.0,11070.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,238955.0,264889.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1530143.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +38,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-06-03 13:57:24.000000,2021-06-03 00:01:12.000000,1567,92.0,2050.0,8718,3651.0,WebGL2 powered geospatial visualization layers.,164.0,34,True,2021-05-07 16:22:03.508000,8.4.16,469.0,pydeck,conda-forge/pydeck,,,['jupyter'],2161.0,1599.0,https://pypi.org/project/pydeck,2021-04-13 02:26:45.000000,2.0,285952.0,472023.0,https://anaconda.org/conda-forge/pydeck,2021-04-13 20:41:22.066000,33083.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-05-25 18:30:07.668000,560.0,184004.0,,,,,,,,,,,,,, +39,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-06-03 12:56:40.000000,2021-06-03 12:56:40.000000,1279,773.0,3030.0,8397,,Parallel computing with task scheduling.,451.0,34,True,2021-05-28 20:40:50.000000,2021.5.1,118.0,dask,conda-forge/dask,,,,31914.0,27998.0,https://pypi.org/project/dask,2021-05-28 20:40:50.000000,3916.0,3942850.0,3999732.0,https://anaconda.org/conda-forge/dask,2021-05-29 00:34:52.618000,3469841.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,,, +40,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-06-02 18:47:57.000000,2021-05-30 11:49:28.000000,1231,150.0,713.0,7753,1574.0,Simple job queues for Python.,238.0,34,True,2021-05-17 07:11:04.000000,1.8.1,65.0,rq,conda-forge/rq,,,,11389.0,8065.0,https://pypi.org/project/rq,2021-05-17 07:07:17.000000,3324.0,484622.0,485519.0,https://anaconda.org/conda-forge/rq,2021-03-31 04:46:34.734000,52973.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +41,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 22:07:20.000000,2021-05-31 14:40:49.000000,2021-05-21 16:19:52.000000,1809,702.0,1532.0,4363,,Image processing in Python.,491.0,34,True,2021-01-19 08:17:34.000000,0.18.1,36.0,scikit-image,conda-forge/scikit-image,,,,85124.0,70350.0,https://pypi.org/project/scikit-image,2021-05-06 06:29:38.000000,14774.0,5784750.0,5826143.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2525003.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +42,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-06-03 12:44:57.000000,2021-06-03 11:00:08.000000,9068,573.0,,16361,27023.0,Apache Flink Python API.,1283.0,33,True,2021-05-28 14:53:34.000000,1.13.1,18.0,apache-flink,,,,,289.0,289.0,https://pypi.org/project/apache-flink,2021-05-28 14:53:34.000000,0.0,5842.0,5842.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +43,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-06-03 14:39:12.000000,2021-06-03 14:17:58.000000,2664,1651.0,5326.0,16141,8225.0,"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..",491.0,33,True,2021-04-22 22:28:01.000000,ray-1.3.0,45.0,ray,,,,,2369.0,2209.0,https://pypi.org/project/ray,2021-04-22 20:25:11.000000,160.0,360979.0,360979.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +44,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-06-03 03:59:39.000000,2021-05-29 10:39:35.000000,3723,687.0,5904.0,15170,,"Interactive Data Visualization in the browser, from Python.",559.0,33,True,2021-05-10 16:59:13.000000,2.3.2,96.0,bokeh,conda-forge/bokeh,,,,40715.0,34843.0,https://pypi.org/project/bokeh,2021-05-10 16:59:13.000000,5872.0,1470865.0,1561983.0,https://anaconda.org/conda-forge/bokeh,2021-05-11 13:20:48.298000,4555931.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +45,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-05-11 16:44:05.000000,2021-05-11 16:44:00.000000,2872,559.0,666.0,11304,4350.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,232.0,33,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1144.0,980.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,605073.0,605073.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +46,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-06-03 14:23:37.000000,2021-06-02 23:02:27.000000,2053,808.0,1080.0,9510,2023.0,Open source platform for the machine learning lifecycle.,292.0,33,True,2021-05-08 17:36:31.000000,1.17.0,45.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-05-08 17:03:08.000000,154.0,4821768.0,4833960.0,https://anaconda.org/conda-forge/mlflow,2021-05-17 17:37:53.532000,316994.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +47,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-06-02 00:52:29.000000,2021-06-02 00:52:29.000000,2256,2115.0,2324.0,6364,,Statsmodels: statistical modeling and econometrics in Python.,318.0,33,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,50185.0,43529.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,4285965.0,4354398.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,4106013.0,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,,,, +48,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-05-24 22:09:16.000000,2021-03-09 08:53:19.000000,1951,167.0,695.0,5291,1474.0,Python Data. Leaflet.js Maps.,121.0,33,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,11220.0,10252.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,466365.0,472151.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,364570.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +49,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-06-03 15:22:19.000000,2021-06-03 14:10:36.000000,1032,454.0,568.0,2863,4016.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",207.0,33,True,2021-05-07 13:09:09.000000,4.3.0,22.0,tensorflow-datasets,,,,['tensorflow'],4991.0,4889.0,https://pypi.org/project/tensorflow-datasets,2021-05-07 11:42:04.000000,102.0,1745666.0,1745666.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +50,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-06-03 05:27:08.000000,2021-05-28 09:10:42.000000,410,138.0,616.0,2291,1517.0,Manipulation and analysis of geometric objects.,114.0,33,True,2020-12-15 18:27:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,,24723.0,19265.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,4251047.0,4286139.0,https://anaconda.org/conda-forge/shapely,2021-06-02 19:34:35.262000,2386299.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +51,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-06-03 07:32:31.000000,2021-06-03 03:18:28.000000,676,818.0,2059.0,2082,3717.0,N-D labeled arrays and datasets in Python.,319.0,33,True,2021-05-19 21:37:33.000000,0.18.2,59.0,xarray,conda-forge/xarray,,,,7515.0,6383.0,https://pypi.org/project/xarray,2021-05-19 21:37:33.000000,1132.0,594790.0,641298.0,https://anaconda.org/conda-forge/xarray,2021-05-20 01:43:54.980000,2930015.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +52,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-06-03 15:24:59.000000,2021-06-03 14:01:39.000000,8538,952.0,2592.0,21930,,"Platform to programmatically author, schedule, and monitor workflows.",1879.0,32,True,2021-05-21 12:48:02.000000,2.1.0,78.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-05-21 12:48:02.000000,294.0,1721952.0,2056574.0,https://anaconda.org/conda-forge/airflow,2021-05-22 00:33:35.005000,333321.0,https://hub.docker.com/r/apache/airflow,2021-06-01 10:15:53.944320,250.0,24116379.0,2.0,134638.0,-4.0,stable/airflow,,,,,,,,,,,,,,,,,,, +53,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-06-03 09:55:52.000000,2021-05-20 23:27:00.000000,7034,103.0,1373.0,20969,1744.0,The fastai deep learning library.,472.0,32,True,2021-05-04 02:13:56.000000,2.3.1,120.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-05-04 02:13:56.000000,368.0,187806.0,187806.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +54,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-04-15 01:52:46.000000,2020-06-01 14:58:26.000000,2054,241.0,213.0,11234,2913.0,Image augmentation for machine learning experiments.,36.0,32,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,7095.0,6539.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,268629.0,270371.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,41811.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +55,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-05-23 15:51:09.000000,2021-05-12 11:05:44.000000,2933,39.0,1871.0,10206,7944.0,A toolkit for making real world machine learning and data analysis applications in C++.,166.0,32,False,2021-03-28 13:36:18.000000,19.22,28.0,dlib,conda-forge/dlib,,,,11454.0,10096.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,115832.0,121746.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,317675.0,,,,,2.0,24573.0,,,,,,,,,,,,,,,,,,,,, +56,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-06-03 12:09:08.000000,2021-06-02 23:14:01.000000,2062,96.0,2276.0,10069,2357.0,"An open-source NLP research library, built on PyTorch.",243.0,32,True,2021-04-23 00:31:09.000000,2.4.0,191.0,allennlp,,,,['pytorch'],1941.0,1707.0,https://pypi.org/project/allennlp,2021-06-03 12:09:08.000000,234.0,38531.0,38531.0,,,,,,,,1.0,39.0,,,,,,,,,,,,,,,,,,,,, +57,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-06-03 14:32:27.000000,2021-06-03 14:32:27.000000,933,296.0,485.0,8318,1653.0,"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.",273.0,32,True,2021-05-27 10:00:14.000000,1.7.0,21.0,datasets,,,,,900.0,882.0,https://pypi.org/project/datasets,2021-05-27 09:58:41.000000,18.0,152856.0,152856.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +58,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-06-02 15:35:40.000000,2021-04-05 13:26:07.000000,1371,194.0,2059.0,5808,7691.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,313.0,32,True,2021-03-14 22:31:10.000000,3.11.2,33.0,pymc3,conda-forge/pymc3,,,,2851.0,2565.0,https://pypi.org/project/pymc3,2021-03-14 22:31:10.000000,286.0,235633.0,240701.0,https://anaconda.org/conda-forge/pymc3,2021-03-15 13:12:28.868000,283719.0,,,,,1.0,161.0,,,,,,,,,,,,,,,,,,,,, +59,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 05:08:26.000000,2021-05-31 12:19:53.000000,2021-05-25 16:10:30.000000,1097,37.0,431.0,5267,740.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,58.0,32,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],5925.0,5645.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,1408111.0,1411136.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,133113.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +60,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-06-03 14:47:53.000000,2021-06-03 09:30:11.000000,474,337.0,1049.0,5158,21974.0,NumPy & SciPy for GPU.,263.0,32,True,2021-05-27 07:48:21.000000,9.1.0,94.0,cupy,conda-forge/cupy,cupy/cupy,,,934.0,742.0,https://pypi.org/project/cupy,2021-05-27 01:27:15.000000,192.0,77189.0,110176.0,https://anaconda.org/conda-forge/cupy,2021-06-02 18:48:53.391000,635009.0,https://hub.docker.com/r/cupy/cupy,2021-06-03 09:36:39.282848,6.0,50670.0,1.0,16432.0,,,,,,,,,,,,,,,,,,,,, +61,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-06-03 14:47:27.000000,2021-06-02 21:26:25.000000,3026,158.0,,4839,32142.0,"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.",1060.0,32,True,2021-04-27 17:14:41.000000,2.29.0,34.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-05-27 02:02:51.000000,186.0,2933042.0,2933042.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +62,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-06-03 12:52:17.000000,2021-06-03 00:16:55.000000,512,164.0,667.0,4621,10060.0,A hyperparameter optimization framework.,138.0,32,True,2021-04-05 03:39:39.000000,2.7.0,37.0,optuna,conda-forge/optuna,,,,1411.0,1359.0,https://pypi.org/project/optuna,2021-04-05 03:39:39.000000,52.0,549096.0,550531.0,https://anaconda.org/conda-forge/optuna,2021-04-05 06:39:55.179000,27280.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +63,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2021-05-14 13:25:29.000000,2020-04-26 05:15:03.000000,420,70.0,136.0,4421,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,False,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,34054.0,25820.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,9937887.0,9953261.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,891703.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +64,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-05-09 12:07:12.000000,2021-04-17 15:44:06.000000,535,25.0,223.0,3330,1061.0,Geocoding library for Python.,122.0,32,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,28837.0,21593.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,4290431.0,4299142.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,548801.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +65,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-06-03 09:52:59.000000,2021-06-03 03:22:37.000000,889,462.0,580.0,3329,10773.0,Probabilistic reasoning and statistical analysis in TensorFlow.,415.0,32,True,2021-04-19 23:03:58.000000,0.12.2,37.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],254.0,2.0,https://pypi.org/project/tensorflow-probability,2021-05-21 15:22:50.000000,252.0,1413480.0,1414775.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-04-30 15:17:15.055000,36277.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +66,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-05-31 12:04:20.000000,2021-05-31 12:04:17.000000,1496,34.0,555.0,2828,894.0,A library for transfer learning by reusing parts of TensorFlow models.,69.0,32,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],7270.0,6956.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,2474038.0,2475511.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,53031.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +67,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-06-03 13:17:47.000000,2021-06-03 05:58:10.000000,594,324.0,740.0,2641,1398.0,Python tools for geographic data.,141.0,32,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],9841.0,8675.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,1195261.0,1211148.0,https://anaconda.org/conda-forge/geopandas,2021-03-01 09:07:56.799000,999851.0,,,,,2.0,1031.0,,,,,,,,,,,,,,,,,,,,, +68,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-06-02 07:01:43.000000,2021-06-01 15:19:28.000000,207,16.0,91.0,2295,4937.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",39.0,32,True,2021-04-19 13:57:59.000000,8.0.3,189.0,thinc,conda-forge/thinc,,,,14820.0,13682.0,https://pypi.org/project/thinc,2021-03-09 12:42:58.000000,1138.0,2092867.0,2121014.0,https://anaconda.org/conda-forge/thinc,2021-04-23 21:53:35.709000,1463677.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +69,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-06-03 13:49:22.000000,2021-06-03 13:44:28.000000,221,28.0,136.0,1899,294.0,A python wrapper for libmagic.,52.0,32,True,2021-06-03 13:49:22.000000,0.4.24,24.0,python-magic,conda-forge/python-magic,,,,19912.0,14780.0,https://pypi.org/project/python-magic,2021-06-03 13:49:22.000000,5132.0,2549996.0,2551799.0,https://anaconda.org/conda-forge/python-magic,2021-03-05 04:33:25.716000,90194.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +70,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,414,3.0,,1896,502.0,Please use openpyxl where you can...,50.0,32,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,86809.0,73235.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,9546644.0,9574831.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1437570.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +71,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-06-03 12:54:14.000000,2021-05-31 23:14:37.000000,412,138.0,1255.0,1503,3339.0,Rasterio reads and writes geospatial raster datasets.,109.0,32,True,2021-05-31 22:14:34.000000,1.2.4,125.0,rasterio,conda-forge/rasterio,,,,4089.0,3239.0,https://pypi.org/project/rasterio,2021-05-31 22:14:34.000000,850.0,582906.0,599798.0,https://anaconda.org/conda-forge/rasterio,2021-06-01 21:29:07.640000,1063592.0,,,,,2.0,732.0,,,,,,,,,,,,,,,,,,,,, +72,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-06-02 18:29:42.000000,2021-05-29 13:22:09.000000,430,172.0,653.0,1297,1365.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,165.0,32,True,2021-05-15 16:45:30.000000,0.13.0,26.0,tensorflow-addons,,,,['tensorflow'],3193.0,3175.0,https://pypi.org/project/tensorflow-addons,2021-05-15 17:10:13.000000,18.0,2615130.0,2615130.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +73,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-06-03 10:22:08.000000,2021-05-23 04:54:53.000000,178,73.0,287.0,879,1150.0,Python library for reading and writing image data.,78.0,32,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,46266.0,42428.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,6306138.0,6343614.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1986239.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +74,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2021-05-30 19:33:02.597000,2020-02-15 08:33:35.000000,6267,609.0,200.0,26399,523.0,Chinese Words Segmentation Utilities.,48.0,31,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,12787.0,10271.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,382969.0,384582.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597000,80690.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +75,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-04-29 08:33:10.000000,2020-07-18 00:20:40.000000,4350,452.0,594.0,22630,379.0,Library for fast text representation and classification.,58.0,31,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,2002.0,1812.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,491419.0,491872.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,19939.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +76,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-06-03 14:06:34.000000,2021-06-03 11:27:11.000000,3765,2616.0,10860.0,15512,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,548.0,31,True,2021-05-19 06:44:29.000000,2.1.0,45.0,paddlepaddle,,,,['paddle'],62.0,46.0,https://pypi.org/project/paddlepaddle,2021-05-15 05:36:32.000000,16.0,13666.0,13929.0,,,,,,,,2.0,15282.0,,,,,,,,,,,,,,,,,,,,, +77,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-06-01 23:44:01.000000,2021-06-01 23:43:56.000000,3226,856.0,1907.0,12863,1910.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,325.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],425.0,405.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,24892.0,24895.0,,,,,,,,1.0,134.0,,,,,,,,,,,,,,,,,,,,, +78,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-06-03 01:54:20.000000,2021-06-01 10:43:00.000000,3783,269.0,1235.0,11194,1848.0,"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,,,,,4186.0,3506.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,22552.0,22552.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +79,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-06-01 19:17:41.000000,2021-05-29 19:27:18.000000,1629,95.0,1444.0,10415,3375.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,199.0,31,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],823.0,775.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,65992.0,65992.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +80,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-05-25 22:02:00.000000,2021-02-20 06:36:20.000000,828,97.0,100.0,8132,381.0,Fuzzy String Matching in Python.,68.0,31,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,12164.0,8958.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,4362278.0,4367398.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,302131.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +81,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-06-03 11:17:50.000000,2021-06-02 19:19:58.000000,764,494.0,2486.0,8010,6617.0,Data Version Control | Git for Data & Models | ML Experiments Management.,221.0,31,True,2021-06-02 12:11:06.000000,2.3.0,320.0,dvc,conda-forge/dvc,,,,1097.0,1051.0,https://pypi.org/project/dvc,2021-06-02 12:11:06.000000,46.0,152419.0,184750.0,https://anaconda.org/conda-forge/dvc,2021-06-02 17:58:35.998000,693478.0,,,,,1.0,26164.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,, +82,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 23:47:55.000000,2021-05-31 17:15:53.000000,2021-05-16 18:36:27.000000,1101,71.0,397.0,7405,852.0,Create HTML profiling reports from pandas DataFrame objects.,77.0,31,True,2021-05-11 22:24:40.000000,3.0.0,30.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",4409.0,4249.0,https://pypi.org/project/pandas-profiling,2021-05-11 22:24:40.000000,160.0,422194.0,424450.0,https://anaconda.org/conda-forge/pandas-profiling,2021-05-12 01:17:17.354000,130884.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +83,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-05-16 11:30:15.000000,2021-04-04 16:59:23.000000,580,292.0,1321.0,6680,3065.0,Declarative statistical visualization library for Python.,127.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,12149.0,11779.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,1664039.0,1676573.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,739518.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +84,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-06-03 14:27:27.000000,2021-06-02 18:10:18.000000,595,321.0,1453.0,6365,14002.0,The easiest way to automate your data.,209.0,31,True,2021-06-02 18:10:56.000000,0.14.21,98.0,prefect,conda-forge/prefect,,,,347.0,345.0,https://pypi.org/project/prefect,2021-06-02 18:11:16.000000,2.0,92932.0,96666.0,https://anaconda.org/conda-forge/prefect,2021-05-26 04:23:50.043000,100825.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +85,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-06-03 12:27:39.000000,2021-06-03 12:27:35.000000,898,320.0,1163.0,5884,16469.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",804.0,31,True,2021-04-05 22:23:00.000000,0.25.1,93.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-04-05 22:14:25.000000,162.0,2334654.0,2354847.0,https://anaconda.org/conda-forge/catboost,2021-04-12 10:39:53.915000,700131.0,,,,,2.0,57238.0,,,,,,,,,,,,,,,,,,,,, +86,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-06-02 01:45:10.000000,2021-06-02 01:45:10.000000,880,344.0,226.0,5651,1177.0,Distributed Asynchronous Hyperparameter Optimization in Python.,88.0,31,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3936.0,3432.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,850361.0,857116.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,222922.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +87,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-05-23 03:32:13.000000,2021-04-21 10:21:41.000000,721,195.0,245.0,5366,741.0,Manipulate audio with a simple and easy high level interface.,90.0,31,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,8649.0,7295.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,691759.0,692273.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,15420.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +88,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-05-26 06:10:48.000000,2021-05-26 05:45:33.000000,692,38.0,407.0,5087,676.0,Unsupervised text tokenizer for Neural Network-based text generation.,54.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,8156.0,7916.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,2282216.0,2287938.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,58338.0,,,,,1.0,14250.0,,,,,,,,,,,,,,,,,,,,, +89,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-06-03 10:20:27.000000,2021-05-26 08:26:35.000000,383,29.0,401.0,2018,755.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",30.0,31,True,2021-05-06 19:44:42.000000,52,51.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-05-07 12:41:47.000000,12560.0,4636669.0,4636669.0,,,,,,,,2.0,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,, +90,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 01:03:33.000000,2021-06-02 22:12:59.000000,2021-06-01 22:53:19.000000,637,233.0,597.0,1392,2025.0,A library for training and deploying machine learning models on Amazon SageMaker.,205.0,31,True,2021-06-01 22:53:30.000000,2.44.0,339.0,sagemaker,,,,"['mxnet', 'tensorflow']",751.0,723.0,https://pypi.org/project/sagemaker,2021-06-01 22:53:30.000000,28.0,613927.0,613927.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +91,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-06-03 14:38:25.000000,2021-06-02 15:38:02.000000,529,811.0,1369.0,1200,,A distributed task scheduler for Dask.,241.0,31,True,2021-05-14 19:19:09.000000,2021.5.0,149.0,distributed,conda-forge/distributed,,,,20295.0,18517.0,https://pypi.org/project/distributed,2021-05-28 20:41:04.000000,1778.0,2727446.0,2799584.0,https://anaconda.org/conda-forge/distributed,2021-05-28 23:44:11.799000,4400428.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +92,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-06-01 23:16:31.000000,2021-06-01 23:16:19.000000,175,80.0,562.0,812,1263.0,Fiona reads and writes geographic data files.,65.0,31,True,2021-05-31 23:04:33.000000,1.8.20,98.0,fiona,conda-forge/fiona,,,,7068.0,5880.0,https://pypi.org/project/fiona,2021-05-31 23:04:33.000000,1188.0,1526290.0,1557696.0,https://anaconda.org/conda-forge/fiona,2021-06-01 19:48:43.667000,1978611.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +93,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-06-03 10:12:59.213000,2021-05-25 00:43:23.000000,153,10.0,404.0,620,1163.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,41.0,31,True,2021-05-24 21:05:22.000000,3.1.0,35.0,pyproj,conda-forge/pyproj,,,,12332.0,9870.0,https://pypi.org/project/pyproj,2021-05-24 21:05:22.000000,2462.0,2797662.0,2831289.0,https://anaconda.org/conda-forge/pyproj,2021-06-03 10:12:59.213000,2219435.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +94,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-05-31 05:45:18.000000,2021-05-31 05:42:16.000000,140,19.0,43.0,501,853.0,Snowball compiler and stemming algorithms.,26.0,31,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,63635.0,50453.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,5727843.0,5772284.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2577605.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +95,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-06-02 20:21:56.000000,2021-05-27 23:46:08.000000,18724,3307.0,7258.0,51278,5494.0,Deep Learning for humans.,907.0,30,True,2020-06-24 22:40:48.000000,2.4.3,50.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],0.0,,https://pypi.org/project/keras,2021-04-12 23:09:14.000000,0.0,3270160.0,3298915.0,https://anaconda.org/conda-forge/keras,2021-04-19 19:56:38.549000,1667805.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +96,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-06-02 08:09:58.000000,2020-09-26 15:32:59.000000,11024,592.0,540.0,40177,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,30,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 18:34:21.000000,406.0,61522.0,61530.0,,,,,,,,2.0,442.0,,,,,,,,,,,,,,,,,,,,, +97,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-04-18 22:05:29.000000,2020-10-14 16:36:49.000000,4040,341.0,650.0,13986,6226.0,"Zipline, a Pythonic Algorithmic Trading Library.",152.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,888.0,730.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,6837.0,6837.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +98,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-05-07 10:24:17.000000,2021-05-07 10:24:17.000000,2428,39.0,1393.0,11038,1515.0,Python Echarts Plotting Library.,30.0,30,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1922.0,1640.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,57527.0,57527.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +99,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-05-07 20:10:21.000000,2021-05-07 20:10:19.000000,1254,82.0,78.0,9414,234.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,30,True,2021-03-03 22:26:11.000000,3.1.10,37.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-04-08 17:53:18.000000,62.0,7016868.0,7016868.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +100,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-05-27 13:22:11.000000,2021-05-27 13:22:11.000000,904,37.0,276.0,8570,812.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,69.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1957.0,1597.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,602819.0,602819.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +101,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-21 10:56:17.000000,2021-03-01 23:14:14.000000,2079,100.0,350.0,8103,543.0,A little word cloud generator in Python.,61.0,30,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,12503.0,11399.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,444379.0,448114.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,216671.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +102,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-06-03 10:24:10.000000,2021-06-01 11:27:36.000000,1024,207.0,267.0,8072,640.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,78.0,30,True,2021-06-01 11:31:11.000000,1.0.0,45.0,albumentations,conda-forge/albumentations,,,['pytorch'],3999.0,3871.0,https://pypi.org/project/albumentations,2021-06-01 11:31:11.000000,128.0,157538.0,158329.0,https://anaconda.org/conda-forge/albumentations,2021-06-01 14:34:45.754000,19000.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,, +103,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-05-21 12:13:40.000000,2021-05-10 13:15:20.000000,995,85.0,151.0,7688,535.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",34.0,30,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,14968.0,12476.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,545291.0,547394.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,122002.0,,,,,2.0,90.0,,,,,,,,,,,,,,,,,,,,, +104,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-06-03 12:02:24.000000,2021-05-14 17:02:25.000000,2824,449.0,1018.0,7685,4249.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",168.0,30,False,2021-04-08 17:55:06.000000,3.3.4,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,60832.0,93066.0,https://anaconda.org/conda-forge/glfw,2021-04-08 18:43:30.580000,32072.0,,,,,2.0,2331684.0,,,,,,,,,,,,,,,,,,,,, +105,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 19:36:58.000000,2021-06-03 14:09:33.000000,2021-06-03 13:38:19.000000,1731,141.0,914.0,7557,9199.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,300.0,30,True,2021-04-13 13:14:52.000000,8.10.1,16.0,vowpalwabbit,,,,,154.0,138.0,https://pypi.org/project/vowpalwabbit,2021-04-13 13:14:52.000000,16.0,17696.0,17696.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +106,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-06-02 15:38:21.000000,2021-06-02 15:38:21.000000,1033,337.0,742.0,7530,1061.0,Video editing with Python.,142.0,30,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,8805.0,7675.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,821707.0,823446.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,81767.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +107,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-06-02 15:47:29.000000,2021-04-03 15:54:51.000000,795,63.0,356.0,6979,468.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",65.0,30,True,2021-04-25 09:18:11.000000,2.2,13.0,tensorboardX,conda-forge/tensorboardx,,,,13728.0,12394.0,https://pypi.org/project/tensorboardX,2020-07-05 16:22:14.000000,1334.0,906399.0,915651.0,https://anaconda.org/conda-forge/tensorboardx,2021-04-06 13:33:53.253000,379108.0,,,,,2.0,327.0,,,,,,,,,,,,,,,,,,,,, +108,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-17 11:20:21.000000,2021-02-17 11:20:21.000000,1374,18.0,2020.0,5579,30575.0,A flexible framework of neural networks for deep learning.,318.0,30,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2997.0,2255.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,26538.0,26538.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +109,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 09:27:58.000000,754,164.0,218.0,5267,1376.0,Efficiently computes derivatives of numpy code.,51.0,30,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2343.0,1999.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,947733.0,950717.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,173110.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +110,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-05-30 16:02:41.000000,2021-05-30 16:02:41.000000,532,253.0,255.0,4755,1407.0,Uniform Manifold Approximation and Projection.,82.0,30,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,3265.0,3039.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,436714.0,436714.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +111,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2021-03-01 12:38:44.000000,2021-03-01 12:38:44.000000,565,33.0,198.0,3959,1124.0,"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.",111.0,30,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,12868.0,10510.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,800821.0,801955.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,62416.0,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,,,, +112,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-06-03 07:13:50.000000,2021-06-02 19:51:48.000000,785,142.0,746.0,3518,1765.0,"An open-source, low-code machine learning library in Python.",51.0,30,True,2021-04-28 12:36:06.000000,2.3.1,70.0,pycaret,,,,,964.0,964.0,https://pypi.org/project/pycaret,2021-04-28 12:36:06.000000,0.0,72307.0,72343.0,,,,,,,,2.0,404.0,,,,,,,,,,,,,,,,,,,,, +113,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-06-03 14:58:53.000000,2021-06-02 20:02:10.000000,579,348.0,1601.0,3013,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,156.0,30,True,2021-03-31 18:19:23.000000,0.19.1,152.0,dbt,conda-forge/dbt,,,,300.0,282.0,https://pypi.org/project/dbt,2021-05-03 11:33:43.000000,18.0,305893.0,308936.0,https://anaconda.org/conda-forge/dbt,2021-05-04 13:04:32.097000,167390.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,, +114,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-06-03 08:50:50.000000,2021-06-01 22:51:51.000000,219,319.0,815.0,3009,4003.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,80.0,30,True,2021-05-27 21:53:30.000000,0.10.31,201.0,wandb,,,,,3251.0,3173.0,https://pypi.org/project/wandb,2021-05-27 21:49:22.000000,78.0,355535.0,355535.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +115,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-06-03 11:45:25.000000,2021-06-02 13:16:30.000000,635,307.0,324.0,2774,824.0,Data loaders and abstractions for text and NLP.,108.0,30,True,2021-03-25 17:19:08.000000,0.9.1-rc1,14.0,torchtext,,,,['pytorch'],5408.0,4726.0,https://pypi.org/project/torchtext,2021-03-25 16:29:43.000000,682.0,125967.0,125967.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +116,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-06-03 05:15:49.000000,2021-06-02 16:19:28.000000,825,279.0,556.0,2441,2742.0,Fast data visualization and GUI tools for scientific / engineering applications.,197.0,30,True,2021-04-07 01:54:38.000000,pyqtgraph-0.12.1,14.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-04-07 02:34:28.000000,890.0,66383.0,69772.0,https://anaconda.org/conda-forge/pyqtgraph,2021-04-07 05:35:51.854000,179623.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +117,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-05-28 18:37:47.000000,2021-05-28 15:04:58.000000,1730,155.0,942.0,2317,1126.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,56.0,30,True,2021-05-10 17:48:53.000000,1.28.0,75.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-05-24 16:49:56.000000,60.0,634466.0,634479.0,,,,,,,,2.0,418.0,,,,,,,,,,,,,,,,,,,,, +118,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 21:10:54.000000,2021-05-12 09:08:10.000000,2021-05-11 07:02:47.000000,396,205.0,371.0,2115,1561.0,Sequential model-based optimization with a `scipy.optimize` interface.,73.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1827.0,1667.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,1100766.0,1107186.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,301764.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +119,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-05-25 02:57:42.000000,2021-05-25 03:01:43.000000,290,60.0,253.0,2069,933.0,"Utils for streaming large files (S3, HDFS, gzip, bz2...).",81.0,30,True,2021-05-25 02:57:42.000000,5.1.0,49.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-05-25 02:57:42.000000,640.0,10977093.0,10977093.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +120,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-03-05 20:56:41.232000,2021-03-03 18:33:11.000000,166,54.0,251.0,1591,686.0,"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.",57.0,30,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1318903.0,1363436.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2582946.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +121,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1363,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4287.0,3443.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,1455976.0,1457697.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,89532.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,, +122,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-06-03 02:29:40.000000,2021-06-03 02:29:32.000000,183,16.0,330.0,1087,1700.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,,,5961.0,4791.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,319563.0,319731.0,,,,,,,,2.0,5215.0,,,,,,,,,,,,,,,,,,,,, +123,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-06-02 16:55:46.000000,2021-01-24 18:39:03.000000,66,30.0,177.0,617,1241.0,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,,,,25270.0,22378.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,581193.0,606863.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1565904.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +124,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-05-26 16:33:26.000000,2021-05-26 16:33:17.000000,3425,307.0,554.0,16675,1389.0,Magenta: Music and Art Generation with Machine Intelligence.,149.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],366.0,296.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,4904.0,4904.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +125,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-06-02 21:04:17.000000,2021-06-02 21:04:12.000000,4318,98.0,2379.0,16664,1160.0,"Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.",160.0,29,True,2021-03-13 01:36:49.000000,0.4,8.0,,conda-forge/detectron2,,,['pytorch'],247.0,247.0,,,,,1604.0,https://anaconda.org/conda-forge/detectron2,2021-04-30 18:28:16.538000,20853.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +126,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-06-02 14:45:40.000000,2021-05-31 07:04:42.000000,2180,129.0,1371.0,13668,549.0,A library for efficient similarity search and clustering of dense vectors.,86.0,29,True,2021-05-28 12:08:37.000000,1.1.1,48.0,pymilvus,conda-forge/faiss,,,,399.0,393.0,https://pypi.org/project/pymilvus,2021-05-28 12:08:37.000000,6.0,16332.0,24660.0,https://anaconda.org/conda-forge/faiss,2021-04-19 13:07:02.042000,108273.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +127,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-06-01 09:55:36.000000,2021-05-11 23:44:25.000000,3647,79.0,1532.0,12821,667.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,132.0,29,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,854991.0,855002.0,,,,,,,,1.0,605.0,,,,,,,,,,,,,,,,,,,,, +128,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-05-30 16:50:29.000000,2021-05-30 08:52:30.000000,1317,114.0,207.0,11603,407.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",78.0,29,True,2021-05-30 08:55:54.000000,1.3.2,23.0,easyocr,,,,,273.0,273.0,https://pypi.org/project/easyocr,2021-05-30 08:55:54.000000,0.0,21991.0,47383.0,,,,,,,,1.0,304708.0,,,,,,,,,,,,,,,,,,,,, +129,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-06-03 01:59:58.000000,2021-06-02 22:22:02.000000,1827,235.0,1564.0,11268,956.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",121.0,29,True,2021-05-19 15:17:41.000000,0.22.0,65.0,horovod,,,,,411.0,371.0,https://pypi.org/project/horovod,2021-05-18 23:28:48.000000,40.0,40964.0,40964.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,,, +130,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-06-01 22:39:29.000000,2021-06-01 09:10:02.000000,1925,774.0,1242.0,11179,4521.0,Geometric Deep Learning Extension Library for PyTorch.,166.0,29,True,2021-04-09 08:44:51.000000,1.7.0,26.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-12-02 14:54:13.000000,24.0,40022.0,40022.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +131,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 04:34:51.000000,2429,563.0,362.0,9540,613.0,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'],4265.0,3303.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,21004.0,21004.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +132,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-06-01 18:29:56.000000,2021-06-01 18:29:10.000000,1271,19.0,137.0,8869,545.0,TensorFlow-based neural network library.,52.0,29,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],674.0,592.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,72389.0,72890.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,9522.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +133,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-05-26 05:01:13.000000,2021-01-12 16:12:17.000000,1402,63.0,448.0,8790,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1416.0,1288.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,295800.0,297155.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,73173.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +134,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-05-31 22:55:58.000000,2021-05-31 22:55:57.000000,1291,79.0,670.0,7989,1259.0,AutoML library for deep learning.,129.0,29,True,2021-05-31 22:48:07.000000,1.0.14,48.0,autokeras,,,,['tensorflow'],199.0,185.0,https://pypi.org/project/autokeras,2021-05-31 22:48:07.000000,14.0,23486.0,23487.0,,,,,,,,1.0,45.0,2.0,,,,,,,,,,,,,,,,,,,, +135,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-06-03 14:45:55.000000,2021-06-03 14:33:16.000000,429,525.0,1242.0,6094,1385.0,Modin: Speed up your Pandas workflows by changing a single line of code.,75.0,29,True,2021-03-16 02:04:13.000000,0.9.1,37.0,modin,,,,['pandas'],395.0,377.0,https://pypi.org/project/modin,2021-03-04 23:04:25.000000,18.0,167358.0,172942.0,,,,,,,,2.0,195454.0,,,,,,,,,,,,,,,,,,,,, +136,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-05-07 09:16:06.000000,2021-05-07 09:15:27.000000,1782,10.0,1317.0,6018,2933.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",55.0,29,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],856.0,780.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,18492.0,18494.0,,,,,,,,2.0,120.0,,,,,,,,,,,,,,,,,,,,, +137,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-02-28 19:52:57.000000,2019-07-02 17:29:47.000000,1931,225.0,271.0,5658,360.0,"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,,,,9691.0,8603.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,175984.0,177945.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,113776.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +138,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-05-19 11:10:15.000000,2020-10-09 12:59:42.000000,464,236.0,227.0,5568,4137.0,Python Stream Processing.,91.0,29,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,787.0,759.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,819059.0,819059.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +139,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-06-02 12:20:06.000000,2021-05-28 11:50:32.000000,983,426.0,464.0,5202,830.0,Multilingual Sentence & Image Embeddings with BERT.,49.0,29,True,2021-05-24 19:00:48.000000,1.2.0,37.0,sentence-transformers,,,,['pytorch'],1087.0,1087.0,https://pypi.org/project/sentence-transformers,2021-05-24 19:00:48.000000,0.0,378700.0,378700.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +140,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-05-29 23:22:12.000000,2021-05-29 22:16:22.000000,1254,323.0,231.0,5057,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,38.0,29,True,2021-03-25 00:43:03.000000,0.1.59,24.0,yfinance,ranaroussi/yfinance,,,,4884.0,4858.0,https://pypi.org/project/yfinance,2021-03-25 00:43:03.000000,26.0,224523.0,226707.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,48061.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +141,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-05-17 18:47:54.000000,2021-05-17 18:47:50.000000,384,10.0,250.0,4346,617.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,65.0,29,True,2021-02-11 19:31:26.000000,4.4.0,59.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-02-11 19:31:24.000000,1118.0,273750.0,275769.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,121172.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +142,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-06-03 13:17:11.000000,2021-06-01 08:51:48.000000,404,94.0,315.0,4084,1597.0,Open Source Differentiable Computer Vision Library for PyTorch.,105.0,29,True,2021-05-30 08:42:05.000000,0.5.3,16.0,kornia,,,,['pytorch'],417.0,417.0,https://pypi.org/project/kornia,2021-05-30 08:42:05.000000,0.0,88992.0,88992.0,,,,,,,,2.0,20.0,,,,,,,,,,,,,,,,,,,,, +143,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-05-20 20:10:29.000000,2021-03-15 15:49:05.000000,806,177.0,123.0,4075,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,6115.0,5551.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,190672.0,193015.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,58588.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +144,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-05-31 13:33:35.000000,2021-05-27 14:24:37.000000,456,43.0,435.0,3943,1242.0,"A Python framework for creating reproducible, maintainable and modular data science code.",111.0,29,True,2021-04-21 15:12:51.000000,0.17.3,27.0,kedro,,,,,499.0,483.0,https://pypi.org/project/kedro,2021-04-21 15:12:51.000000,16.0,179968.0,179968.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +145,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-05-31 19:04:05.000000,2021-05-31 19:04:05.000000,523,9.0,254.0,3622,391.0,Python-tesseract is an optical character recognition (OCR) tool for python.,38.0,29,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,600271.0,620244.0,https://anaconda.org/conda-forge/pytesseract,2021-04-30 15:13:39.702000,459398.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +146,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-06-03 12:42:15.000000,2021-06-03 05:16:22.000000,449,104.0,724.0,3577,1121.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,138.0,29,True,2021-03-03 23:10:39.000000,0.4.4,574.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],971.0,909.0,https://pypi.org/project/pytorch-ignite,2021-06-03 00:26:02.000000,62.0,40880.0,42594.0,https://anaconda.org/pytorch/ignite,2021-03-03 23:10:32.721000,61718.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +147,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-05-09 15:37:54.000000,2021-05-09 15:37:54.000000,704,95.0,288.0,3505,1218.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,84.0,29,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],3534.0,3344.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,333790.0,337394.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,169410.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +148,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-05-13 13:24:58.000000,2021-04-17 00:27:42.000000,423,60.0,583.0,3032,2813.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",56.0,29,True,2021-02-28 20:52:16.000000,2.0.7,159.0,dedupe,,,,,267.0,189.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,81128.0,81128.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +149,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-25 06:35:21.702000,2021-05-17 19:04:10.000000,102,10.0,105.0,2981,590.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,29,True,2021-05-24 05:17:15.000000,6.0.3,45.0,ftfy,conda-forge/ftfy,,,,4069.0,3309.0,https://pypi.org/project/ftfy,2021-05-24 05:17:15.000000,760.0,918622.0,920764.0,https://anaconda.org/conda-forge/ftfy,2021-05-25 06:35:21.702000,107128.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +150,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-05-19 18:45:10.000000,2021-05-03 00:35:18.000000,310,116.0,445.0,2821,1536.0,Koalas: pandas API on Apache Spark.,50.0,29,True,2021-05-03 00:39:34.000000,1.8.0,45.0,koalas,conda-forge/koalas,,,"['spark', 'pandas']",98.0,96.0,https://pypi.org/project/koalas,2021-05-03 00:38:09.000000,2.0,3033361.0,3036951.0,https://anaconda.org/conda-forge/koalas,2021-05-03 04:19:17.678000,88874.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,, +151,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,201.0,1091.0,2546,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,865.0,753.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,103950.0,110259.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,359647.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +152,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-06-01 18:52:34.000000,2021-06-01 18:52:34.000000,346,44.0,325.0,2418,1505.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,29,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,439.0,387.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,81808.0,83910.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,29434.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +153,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-05-31 12:11:49.000000,2021-05-31 12:11:49.000000,348,225.0,701.0,2405,3437.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,80.0,29,True,2021-05-18 02:56:47.000000,1.4.2,28.0,gpytorch,,,,['pytorch'],309.0,301.0,https://pypi.org/project/gpytorch,2021-05-18 02:56:47.000000,8.0,61496.0,61496.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +154,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-05-11 16:31:39.000000,2021-05-11 16:31:39.000000,647,66.0,293.0,2271,359.0,"Hidden Markov Models in Python, with scikit-learn like API.",33.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1200.0,994.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,119378.0,122020.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,81923.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +155,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-06-03 14:43:08.000000,2020-12-31 11:58:23.000000,521,86.0,371.0,2015,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],11064.0,9658.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,240648.0,243085.0,https://anaconda.org/conda-forge/pandas-datareader,2021-03-16 22:58:42.079000,121879.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +156,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-06-02 22:34:22.000000,2021-05-28 13:05:15.000000,316,725.0,1865.0,1907,10199.0,"With Holoviews, your data visualizes itself.",107.0,29,True,2021-05-22 18:09:55.000000,1.14.4,71.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-05-22 18:09:55.000000,170.0,111411.0,124901.0,https://anaconda.org/conda-forge/holoviews,2021-05-23 10:56:39.974000,500582.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,5284.0,,,,,,,,,,,,,, +157,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 13:32:37.000000,2021-04-07 15:55:02.000000,2021-04-07 15:55:02.000000,339,228.0,146.0,1889,884.0,A high performance implementation of HDBSCAN clustering.,69.0,29,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],979.0,855.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,199506.0,211093.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,683668.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +158,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-06-03 09:18:58.000000,2021-05-27 18:16:06.000000,210,159.0,209.0,1801,2020.0,Flax is a neural network library for JAX that is designed for flexibility.,93.0,29,True,2021-05-18 11:27:56.000000,0.3.4,13.0,flax,,,,['jax'],198.0,192.0,https://pypi.org/project/flax,2021-05-18 11:27:56.000000,6.0,376165.0,376166.0,,,,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,, +159,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-05-27 04:55:00.431000,2021-05-27 00:33:17.000000,429,204.0,600.0,1626,2123.0,Survival analysis in Python.,95.0,29,True,2021-05-27 00:34:08.000000,0.26.0,157.0,lifelines,conda-forge/lifelines,,,,710.0,584.0,https://pypi.org/project/lifelines,2021-05-27 00:34:08.000000,126.0,245478.0,247952.0,https://anaconda.org/conda-forge/lifelines,2021-05-27 04:55:00.431000,148473.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +160,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-06-03 12:54:14.000000,2021-05-31 23:14:37.000000,412,138.0,1255.0,1503,3339.0,Rasterio reads and writes geospatial raster datasets.,109.0,29,False,2021-04-21 16:59:37.000000,0.19.0,22.0,Cartopy,conda-forge/cartopy,,,,3585.0,3239.0,https://pypi.org/project/Cartopy,2021-04-23 16:49:22.000000,346.0,63142.0,88335.0,https://anaconda.org/conda-forge/cartopy,2021-05-21 06:58:00.865000,1586563.0,,,,,3.0,732.0,,,,,,,,,,,,,,,,,,,,, +161,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-04-22 23:16:41.000000,2021-03-24 13:03:31.000000,304,75.0,75.0,1464,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2420.0,2222.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,170005.0,170696.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,24888.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +162,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-06-03 14:55:09.000000,2021-06-03 13:40:37.000000,321,147.0,325.0,1330,882.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",126.0,29,True,2021-03-25 16:30:33.000000,0.8.1,14.0,torchaudio,,,,['pytorch'],3291.0,3273.0,https://pypi.org/project/torchaudio,2021-03-25 16:29:07.000000,18.0,241607.0,241607.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +163,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-05-31 01:26:55.000000,2021-05-12 06:28:31.000000,290,158.0,261.0,1127,916.0,A Jupyter - Leaflet.js bridge.,64.0,29,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],962.0,862.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,44592.0,77882.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,683352.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,22088.0,,,,,,,,,,,,,, +164,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-05-15 13:02:49.000000,2021-05-15 13:01:47.000000,146,9.0,101.0,998,471.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,25141.0,20759.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,5640611.0,5640611.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +165,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-06-03 13:20:27.000000,2021-05-27 13:51:19.000000,214,409.0,232.0,989,4056.0,"This is the development home of the workflow management system Snakemake. For general information, see.",202.0,29,True,2021-05-27 13:52:12.000000,6.4.1,175.0,snakemake,bioconda/snakemake,,,,1107.0,819.0,https://pypi.org/project/snakemake,2021-05-27 13:52:58.000000,288.0,36601.0,41016.0,https://anaconda.org/bioconda/snakemake,2021-05-27 20:50:33.182000,300253.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +166,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-06-02 17:07:03.000000,2021-06-02 17:06:57.000000,171,20.0,142.0,874,657.0,Input pipeline framework.,27.0,29,True,2021-05-24 19:44:53.000000,1.0.0,38.0,tensorflow-transform,,,,['tensorflow'],556.0,472.0,https://pypi.org/project/tensorflow-transform,2021-05-24 19:44:53.000000,84.0,7334305.0,7334305.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +167,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-06-03 14:15:02.000000,2021-06-03 07:10:18.000000,414,378.0,1222.0,744,9369.0,Machine learning for NeuroImaging in Python.,173.0,29,True,2020-11-12 11:44:49.000000,0.7.0,36.0,nilearn,conda-forge/nilearn,,,['sklearn'],1333.0,1031.0,https://pypi.org/project/nilearn,2021-03-10 13:17:17.000000,302.0,21776.0,23387.0,https://anaconda.org/conda-forge/nilearn,2021-03-10 17:33:32.831000,98275.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +168,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-05-30 14:30:29.000000,2021-05-30 11:42:38.000000,214,112.0,298.0,411,5014.0,Python package to access a cacophony of neuro-imaging file formats.,91.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,5786.0,4522.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,110192.0,115793.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,341692.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +169,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-06-03 13:57:19.000000,2021-06-03 09:45:54.000000,3525,669.0,4837.0,11451,,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",488.0,28,True,2021-06-03 13:57:34.000000,2.7.0,203.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-06-03 13:57:19.000000,64.0,174591.0,174591.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +170,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 05:51:12.000000,2021-05-31 22:52:24.000000,2021-05-31 22:52:24.000000,1549,32.0,293.0,10505,951.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..",46.0,28,True,2021-05-21 23:02:50.000000,0.1-t3p-weights,24.0,,,,,['pytorch'],620.0,620.0,,,,,16345.0,,,,,,,,2.0,408643.0,,,,,,,,,,,,,,,,,,,,, +171,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-03-17 21:46:35.000000,2021-01-06 15:17:46.000000,1396,214.0,597.0,8040,2368.0,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'],1089.0,1009.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,21655.0,23759.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,119940.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +172,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-06-03 15:00:58.000000,2021-05-27 21:19:13.000000,851,166.0,698.0,6954,2188.0,Deep universal probabilistic programming with Python and PyTorch.,109.0,28,True,2021-03-04 23:01:34.000000,1.6.0,26.0,pyro-ppl,,,,['pytorch'],496.0,460.0,https://pypi.org/project/pyro-ppl,2021-03-04 23:05:10.000000,36.0,39906.0,39906.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +173,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-05-21 14:32:57.000000,2021-05-08 20:05:36.000000,1706,205.0,412.0,6193,292.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,14.0,28,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,865.0,841.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,10805.0,26360.0,,,,,,,,2.0,591094.0,,,,,,,,,,,,,,,,,,,,, +174,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-05-29 07:07:28.000000,2021-05-14 06:46:51.000000,1006,106.0,627.0,5451,2458.0,Automated Machine Learning with scikit-learn.,66.0,28,True,2021-04-20 16:07:35.000000,0.12.6,31.0,auto-sklearn,,,,['sklearn'],193.0,163.0,https://pypi.org/project/auto-sklearn,2021-04-20 16:07:35.000000,30.0,19566.0,19566.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +175,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-06-03 14:19:52.000000,2021-05-14 10:17:11.000000,944,119.0,463.0,5226,2595.0,An open source library for deep learning end-to-end dialog systems and chatbots.,63.0,28,True,2021-05-14 10:27:41.000000,0.15.0,43.0,deeppavlov,,,,['tensorflow'],205.0,197.0,https://pypi.org/project/deeppavlov,2021-05-14 10:27:41.000000,8.0,9404.0,9404.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +176,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-05-01 01:55:39.000000,2020-12-19 01:11:23.000000,1115,40.0,166.0,5145,199.0,A Python implementation of global optimization with gaussian processes.,27.0,28,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,851.0,759.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,110290.0,110291.0,,,,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,,,, +177,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-05-10 15:52:10.000000,2021-05-07 15:58:33.000000,1814,104.0,1153.0,5047,2567.0,Open Source Neural Machine Translation in PyTorch.,170.0,28,True,2021-04-30 16:40:40.000000,2.1.2,31.0,OpenNMT-py,,,,['pytorch'],92.0,88.0,https://pypi.org/project/OpenNMT-py,2021-04-30 16:41:28.000000,4.0,4195.0,4195.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +178,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-06-03 09:02:09.000000,2021-05-31 02:40:12.000000,1087,119.0,653.0,4756,867.0,Gluon CV Toolkit.,112.0,28,True,2021-03-28 22:53:04.000000,0.10.1,1108.0,gluoncv,,,,['mxnet'],539.0,509.0,https://pypi.org/project/gluoncv,2021-06-03 09:02:09.000000,30.0,62205.0,62205.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +179,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-05-25 05:48:38.000000,2021-05-25 05:48:38.000000,735,26.0,921.0,4641,2653.0,A system for quickly generating training data with weak supervision.,65.0,28,True,2021-03-09 21:51:40.000000,0.9.7,19.0,snorkel,conda-forge/snorkel,,,,96.0,88.0,https://pypi.org/project/snorkel,2021-03-09 21:39:08.000000,8.0,103124.0,103957.0,https://anaconda.org/conda-forge/snorkel,2021-04-30 15:16:48.270000,18883.0,,,,,3.0,679.0,,,,,,,,,,,,,,,,,,,,, +180,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-05-30 21:41:18.000000,2021-05-24 21:31:01.000000,356,115.0,337.0,4601,1463.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-05-24 21:47:49.000000,0.10.3,62.0,tokenizers,conda-forge/tokenizers,,,,34.0,34.0,https://pypi.org/project/tokenizers,2021-05-24 21:47:49.000000,0.0,2766114.0,2771131.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,55188.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +181,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-06-03 08:58:53.000000,2021-03-10 22:01:27.000000,535,58.0,757.0,4596,1696.0,"A suite of utilities for converting to and working with CSV, the king of tabular file formats.",92.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1573.0,871.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,47074.0,48059.0,https://anaconda.org/conda-forge/csvkit,2021-05-31 04:12:33.299000,50243.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +182,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-06-02 08:02:33.000000,2021-05-18 02:21:56.000000,908,114.0,86.0,4551,1267.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,28,True,2021-04-27 02:04:22.000000,V0.8.8,66.0,pyod,,,,,667.0,661.0,https://pypi.org/project/pyod,2021-04-27 02:01:41.000000,6.0,158420.0,158420.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +183,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-05-26 10:44:27.607000,2021-05-25 21:36:44.000000,739,48.0,835.0,4525,,Python library for audio and music analysis.,89.0,28,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 10:15:06.000000,1750.0,489334.0,494165.0,https://anaconda.org/conda-forge/librosa,2021-05-26 10:44:27.607000,285086.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +184,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-05-08 10:26:27.000000,2021-05-08 10:26:27.000000,878,207.0,227.0,4224,2149.0,Distributed Evolutionary Algorithms in Python.,68.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2374.0,1892.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,119645.0,121858.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,132804.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +185,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-04-04 14:32:26.000000,2020-07-15 13:46:58.000000,1168,129.0,264.0,3812,1184.0,Portfolio and risk analytics in Python.,55.0,28,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,304.0,250.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,8972.0,9132.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,6412.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +186,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-06-01 19:37:21.000000,2021-01-15 10:46:45.000000,903,136.0,76.0,3680,138.0,"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,,,,16419.0,15223.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,250216.0,252394.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,52286.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +187,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-05-31 07:19:19.000000,2021-05-31 07:19:19.000000,318,92.0,406.0,3471,1307.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",92.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1092.0,938.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,25361.0,25361.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +188,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-06-03 15:07:35.000000,2021-06-03 14:42:17.000000,377,598.0,2359.0,3393,7744.0,"A data orchestrator for machine learning, analytics, and ETL.",141.0,28,True,2021-05-28 00:06:26.000000,0.11.11,314.0,dagster,conda-forge/dagster,,,,181.0,177.0,https://pypi.org/project/dagster,2021-05-27 23:45:55.000000,4.0,63383.0,77456.0,https://anaconda.org/conda-forge/dagster,2021-05-24 13:12:38.441000,267401.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +189,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-06-03 14:20:12.000000,2021-06-03 14:20:12.000000,404,194.0,335.0,3085,3345.0,Plotting library for IPython/Jupyter notebooks.,51.0,28,True,2021-04-21 13:59:07.421000,0.5.27,94.0,bqplot,conda-forge/bqplot,,,['jupyter'],148.0,26.0,https://pypi.org/project/bqplot,2021-05-25 15:09:38.000000,112.0,47887.0,73462.0,https://anaconda.org/conda-forge/bqplot,2021-05-26 06:59:01.643000,627603.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-05-25 15:08:23.827000,10.0,15287.0,,,,,,,,,,,,,, +190,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 21:14:59.000000,373,262.0,500.0,2958,7496.0,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,,,,9324.0,7702.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,12927.0,17088.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,191442.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +191,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-04-27 16:05:07.000000,2021-04-27 16:05:07.000000,354,19.0,89.0,2785,171.0,Missing data visualization module for Python.,16.0,28,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,,4078.0,3926.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,349353.0,351396.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,96044.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +192,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-05-31 03:55:17.247000,2021-05-27 14:51:51.000000,343,3.0,120.0,2726,,Python port of Google's libphonenumber.,22.0,28,True,2021-05-27 15:31:27.000000,8.12.24,175.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-05-27 15:31:27.000000,2280.0,1796025.0,1803085.0,https://anaconda.org/conda-forge/phonenumbers,2021-05-31 03:55:17.247000,423641.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +193,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-05-24 08:49:08.000000,2021-05-24 08:44:04.000000,138,61.0,372.0,2697,1698.0,A grammar of graphics for Python.,85.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,2249.0,1995.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,169975.0,172202.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,109151.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +194,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-05-25 21:55:23.000000,2021-05-25 20:10:22.000000,325,128.0,349.0,2512,1294.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-03-22 15:23:27.000000,0.12.1,23.0,datashader,conda-forge/datashader,,,,773.0,703.0,https://pypi.org/project/datashader,2021-05-25 20:40:14.000000,70.0,44303.0,48599.0,https://anaconda.org/conda-forge/datashader,2021-04-13 11:22:49.633000,184733.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +195,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 22:55:20.000000,2021-05-08 08:31:08.000000,2021-05-08 08:05:59.000000,393,25.0,125.0,2429,287.0,Pandas integration with sklearn.,37.0,28,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,,,"['sklearn', 'pandas']",2556.0,2334.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,222.0,192844.0,192844.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +196,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-03-25 13:32:22.000000,2021-01-03 14:55:15.000000,260,22.0,76.0,1971,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2021-03-25 13:49:48.000000,4.1.0,17.0,ImageHash,conda-forge/imagehash,,,,3231.0,2699.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,758321.0,760558.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,123087.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +197,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-06-02 09:52:52.000000,2021-06-01 20:27:33.000000,516,106.0,357.0,1912,1773.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",97.0,28,True,2021-05-16 23:41:49.000000,0.8.0,22.0,tf-agents,,,,['tensorflow'],490.0,478.0,https://pypi.org/project/tf-agents,2021-05-16 23:41:49.000000,12.0,28092.0,28092.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +198,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-05-04 18:33:52.000000,2021-05-04 18:33:52.000000,430,33.0,151.0,1819,542.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",36.0,28,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,1085.0,873.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,435962.0,437254.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,62063.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +199,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-05-27 18:58:07.000000,2021-05-26 17:51:23.000000,166,79.0,13.0,1036,611.0,Mesh TensorFlow: Model Parallelism Made Easier.,42.0,28,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],595.0,539.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,611166.0,611166.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +200,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-26 00:08:03.000000,2021-03-20 09:04:48.000000,204,168.0,450.0,1026,3954.0,A Python package to manage extremely large amounts of data.,98.0,28,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 19:33:37.000000,3754.0,710949.0,756818.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2660299.0,,,,,2.0,136.0,,,,,,,,,,,,,,,,,,,,, +201,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,420,93.0,100.0,954,284.0,"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 03:53:47.000000,2736.0,6210449.0,6236745.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,946687.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +202,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-06-02 19:39:01.000000,2021-06-02 19:39:01.000000,191,26.0,286.0,827,1734.0,Python interface for igraph.,51.0,28,False,2021-05-31 19:33:26.000000,0.9.4,21.0,python-igraph,conda-forge/igraph,,,,2103.0,1679.0,https://pypi.org/project/python-igraph,2021-05-31 19:33:11.000000,424.0,97487.0,104505.0,https://anaconda.org/conda-forge/igraph,2021-04-15 13:28:46.335000,222478.0,,,,,1.0,152334.0,,,,,,,,,,,,,,,,,,,,, +203,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-05-04 21:33:59.000000,2018-10-31 21:55:48.000000,85,78.0,53.0,754,517.0,Describing statistical models in Python using symbolic formulas.,13.0,28,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,40285.0,35361.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,2762402.0,2815423.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,3075264.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +204,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-06-02 13:05:45.000000,2021-06-02 13:00:06.000000,456,337.0,881.0,566,14156.0,Workflows and interfaces for neuroimaging packages.,218.0,28,True,2020-11-28 17:23:30.000000,1.6.0,54.0,nipype,conda-forge/nipype,,,,810.0,618.0,https://pypi.org/project/nipype,2020-11-28 17:23:30.000000,192.0,22243.0,29123.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,405967.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +205,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-06-01 18:05:00.000000,2021-05-11 15:51:38.000000,313,156.0,612.0,434,11578.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",121.0,28,True,2021-03-14 14:05:15.000000,1.4.0,23.0,dipy,conda-forge/dipy,,,,471.0,377.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,94.0,12358.0,16017.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,223219.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +206,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-06-03 06:36:30.000000,2021-06-02 20:41:06.000000,1262,516.0,1263.0,14721,,Streamlit The fastest way to build data apps in Python.,105.0,27,True,2021-05-13 23:02:22.000000,0.82.0,131.0,streamlit,,,,,118.0,84.0,https://pypi.org/project/streamlit,2021-05-13 23:01:55.000000,34.0,304591.0,304591.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +207,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-06-03 12:50:16.000000,2021-06-03 08:14:11.000000,1328,283.0,976.0,9717,2124.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",135.0,27,True,2021-04-26 03:15:25.000000,2.2,40.0,nni,,,,,134.0,118.0,https://pypi.org/project/nni,2021-04-26 01:05:08.000000,16.0,5340.0,5340.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +208,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-06-01 08:31:40.000000,2021-06-01 08:31:40.000000,3153,776.0,722.0,9299,1585.0,Face Analysis Project on MXNet and PyTorch.,20.0,27,True,2021-05-16 02:42:58.000000,0.2.1,8.0,insightface,,,,['mxnet'],72.0,70.0,https://pypi.org/project/insightface,2021-05-16 02:42:58.000000,2.0,5062.0,5062.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +209,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 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1686,90.0,88.0,7995,154.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,27,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1153.0,1049.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,58075.0,58075.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +210,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-06-03 10:53:10.000000,2021-06-03 10:50:18.000000,1554,267.0,810.0,7394,1737.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",134.0,27,True,2021-04-08 03:22:48.000000,0.6.1,438.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-05-27 13:25:52.000000,30.0,40475.0,40475.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +211,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-06-02 23:04:07.000000,2021-06-02 18:35:07.000000,1475,98.0,905.0,7223,3760.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,150.0,27,True,2021-04-23 13:45:44.000000,1.2.0,16.0,parlai,,,,['pytorch'],25.0,25.0,https://pypi.org/project/parlai,2021-04-23 13:41:57.000000,0.0,2014.0,2014.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +212,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-05-13 04:29:18.000000,2021-03-17 01:32:00.000000,1473,20.0,433.0,6597,3346.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,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 00:53:37.000000,68.0,3238.0,3260.0,,,,,,,,2.0,1257.0,,,,,,,,,,,,,,,,,,,,, +213,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 05:24:11.000000,2021-05-25 07:07:22.000000,2021-04-15 15:16:36.000000,1190,117.0,131.0,6061,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,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 15:17:23.000000,14.0,74103.0,110722.0,,,,,,,,1.0,549285.0,,,,,,,,,,,,,,,,,,,,, +214,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-06-02 18:03:55.000000,2021-05-02 05:43:02.000000,885,38.0,425.0,5675,398.0,Automatic extraction of relevant features from time series:.,76.0,27,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 21:08:22.000000,66.0,137512.0,138303.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,34028.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +215,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-06-03 04:45:22.000000,2021-06-03 04:45:03.000000,292,252.0,806.0,5137,1654.0,An open source multi-tool for exploring and publishing data.,52.0,27,True,2021-03-29 00:43:36.000000,0.56,94.0,datasette,,,,,494.0,424.0,https://pypi.org/project/datasette,2021-05-27 17:05:10.000000,70.0,38099.0,38099.0,,,,,,,,2.0,31.0,,,,,,,,,datasette,,,,,,,,,,,, +216,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-05-31 01:26:50.000000,2021-04-20 08:51:08.000000,1278,25.0,418.0,5125,3194.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",123.0,27,True,2021-04-28 13:26:45.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],239.0,223.0,https://pypi.org/project/cleverhans,2021-04-28 13:26:45.000000,16.0,869.0,869.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +217,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-06-03 06:50:03.000000,2021-05-31 22:57:51.000000,373,154.0,159.0,4398,244.0,Build and manage real-life data science projects with ease.,33.0,27,True,2021-05-27 19:13:26.000000,2.3.0,24.0,metaflow,conda-forge/metaflow,,,,151.0,149.0,https://pypi.org/project/metaflow,2021-05-27 20:01:24.000000,2.0,94720.0,95653.0,https://anaconda.org/conda-forge/metaflow,2021-05-27 21:01:50.005000,16801.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +218,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-05-27 22:53:19.000000,2021-05-27 20:53:33.000000,452,94.0,615.0,4295,2957.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",53.0,27,True,2021-05-27 22:53:19.000000,12.0.3,173.0,ocrmypdf,,,,,170.0,158.0,https://pypi.org/project/ocrmypdf,2021-05-27 22:53:19.000000,12.0,17604.0,17604.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,, +219,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-05-30 21:21:48.000000,2021-05-30 21:21:47.000000,283,45.0,339.0,3972,956.0,A scikit-learn compatible neural network library that wraps PyTorch.,41.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",359.0,333.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,19488.0,27654.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,269510.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +220,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-05-31 12:51:43.000000,2021-05-31 12:51:43.000000,994,170.0,108.0,3940,688.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",25.0,27,True,2021-05-13 14:14:02.000000,0.3.7,16.0,pyAudioAnalysis,,,,,235.0,213.0,https://pypi.org/project/pyAudioAnalysis,2021-05-13 14:14:02.000000,22.0,16111.0,16111.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +221,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-06-03 09:28:01.000000,2021-06-02 05:56:23.000000,1206,195.0,1161.0,3822,11316.0,End-to-End Speech Processing Toolkit.,155.0,27,True,2021-05-29 06:31:04.000000,.0.9.10,35.0,espnet,,,,,10.0,10.0,https://pypi.org/project/espnet,2021-05-29 06:31:27.000000,0.0,3461.0,3462.0,,,,,,,,2.0,61.0,,,,,,,,,,,,,,,,,,,,, +222,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-06-01 22:49:47.000000,2021-06-01 22:49:47.000000,466,73.0,131.0,3797,1488.0,Fit interpretable models. Explain blackbox machine learning.,26.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],84.0,82.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,13931.0,13931.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +223,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-06-02 16:07:30.000000,2021-06-01 18:17:20.000000,371,68.0,353.0,3390,4506.0,Streaming pivot visualization via WebAssembly.,64.0,27,True,2021-05-28 21:15:57.000000,0.8.3,46.0,perspective-python,,,,['jupyter'],199.0,191.0,https://pypi.org/project/perspective-python,2021-05-28 21:15:57.000000,8.0,1925.0,3970.0,,,,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-05-12 05:26:10.640000,,2045.0,,,,,,,,,,,,,, +224,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-03-18 20:24:39.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3225,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,27,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,219.0,181.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,20509.0,20563.0,,,,,,,,3.0,3053.0,,,,,,,,,,,,,,,,,,,,, +225,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-06-03 14:46:33.000000,2021-05-20 03:47:19.000000,983,369.0,890.0,2962,6474.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",160.0,27,True,2021-03-18 03:10:52.000000,2.5.0,259.0,deepchem,,,,['tensorflow'],45.0,41.0,https://pypi.org/project/deepchem,2021-05-20 03:49:17.000000,4.0,3335.0,3335.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +226,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-05-04 19:09:20.000000,2021-05-04 19:09:16.000000,486,52.0,561.0,2683,897.0,"Fast, flexible and easy to use probabilistic modelling in Python.",62.0,27,True,2021-03-29 16:51:20.000000,0.14.4,65.0,pomegranate,conda-forge/pomegranate,,,,515.0,459.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,42019.0,44600.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,59365.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +227,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-05-31 17:14:45.000000,2021-05-31 06:25:12.000000,313,15.0,291.0,2586,1545.0,Accelerated deep learning R&D.,90.0,27,True,2021-05-31 06:23:16.000000,21.05,95.0,catalyst,,,,['pytorch'],391.0,353.0,https://pypi.org/project/catalyst,2021-05-31 06:15:40.000000,38.0,9245.0,9245.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +228,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-06-02 20:11:01.000000,2021-05-26 17:27:38.000000,245,56.0,178.0,2402,811.0,Model interpretability and understanding for PyTorch.,71.0,27,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],191.0,191.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,23886.0,23886.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +229,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2373,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,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 14:25:24.000000,110.0,462927.0,464881.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,95768.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +230,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-05-14 05:51:51.000000,2021-05-08 16:08:26.000000,490,84.0,264.0,2362,309.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,27,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,461.0,417.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,112058.0,118153.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,249897.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +231,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-04-18 11:29:44.000000,2021-03-18 13:12:51.000000,383,164.0,242.0,2355,1014.0,PYthon svg GrAph plotting Library.,70.0,27,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 13:06:35.000000,1152.0,110688.0,110968.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,6726.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +232,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 22:38:21.000000,2021-04-08 21:21:19.000000,2021-04-06 21:39:45.000000,283,151.0,156.0,2316,810.0,Hyperparameter tuning for humans.,35.0,27,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],618.0,614.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,4.0,369240.0,369240.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +233,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,121.0,2187,452.0,Productivity Tools for Plotly + Pandas.,38.0,27,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],3732.0,3498.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,121475.0,121475.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +234,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-04-11 20:31:36.000000,2020-11-29 21:08:14.000000,545,90.0,87.0,2183,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,592.0,580.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,60058.0,60058.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +235,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-06-03 13:46:11.000000,2021-06-03 13:43:50.000000,440,74.0,412.0,2158,8126.0,State of the Art Natural Language Processing.,86.0,27,True,2021-05-06 15:26:13.000000,3.0.3,84.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-05-06 14:29:27.000000,0.0,685024.0,685024.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +236,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-05-21 14:35:38.000000,2021-05-03 13:39:38.000000,349,59.0,266.0,1907,1649.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",31.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,217.0,199.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,1749.0,1749.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +237,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-06-03 00:03:54.000000,2021-06-02 22:49:54.000000,301,117.0,489.0,1859,1706.0,Model Serving on PyTorch.,74.0,27,True,2021-05-22 00:09:49.000000,0.4.0,8.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],51.0,51.0,https://pypi.org/project/torchserve,2021-05-20 22:22:18.000000,0.0,7509.0,11234.0,https://anaconda.org/pytorch/torchserve,2021-05-21 22:06:07.527000,8940.0,https://hub.docker.com/r/pytorch/torchserve,2021-05-20 22:32:59.391640,3.0,61327.0,1.0,301.0,,,,,,,,,,,,,,,,,,,,, +238,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 02:49:17.000000,267,25.0,45.0,1795,242.0,Stand-alone language identification system.,9.0,27,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,960.0,710.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,570833.0,570833.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +239,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 03:31:13.000000,2021-06-03 14:44:25.000000,2021-06-03 14:14:58.000000,913,332.0,3334.0,1603,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,259.0,27,True,2021-04-27 19:00:31.000000,0.23.0,52.0,mne,conda-forge/mne,,,,1168.0,970.0,https://pypi.org/project/mne,2021-04-27 19:00:31.000000,198.0,27901.0,30529.0,https://anaconda.org/conda-forge/mne,2021-04-27 21:31:05.562000,136700.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +240,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-06-03 06:32:33.000000,2021-06-02 18:42:03.000000,155,42.0,232.0,1509,1150.0,Adaptive Experimentation Platform.,96.0,27,True,2021-02-24 16:59:13.000000,0.1.20,21.0,ax-platform,,,,['pytorch'],172.0,168.0,https://pypi.org/project/ax-platform,2021-02-24 16:59:13.000000,4.0,43902.0,43902.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +241,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-05-27 21:04:44.000000,2021-05-17 12:39:53.000000,404,103.0,609.0,1449,2229.0,Gaussian processes in TensorFlow.,71.0,27,True,2021-04-29 14:49:29.000000,2.2.1,31.0,gpflow,conda-forge/gpflow,,,['tensorflow'],295.0,261.0,https://pypi.org/project/gpflow,2021-04-29 14:49:29.000000,34.0,4743.0,4986.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,9006.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +242,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-06-02 00:34:01.000000,2021-06-02 00:33:56.000000,219,29.0,37.0,1061,962.0,Model analysis tools for TensorFlow.,35.0,27,True,2021-05-24 17:55:57.000000,0.31.0,39.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-05-24 18:12:04.000000,20.0,5615157.0,5615157.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +243,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-05-31 03:58:22.153000,2021-03-10 22:04:12.000000,132,54.0,588.0,1044,1356.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,27,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,809.0,567.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,612446.0,613685.0,https://anaconda.org/conda-forge/agate,2021-05-31 03:58:22.153000,64432.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +244,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-05-28 13:13:26.000000,2021-05-07 13:18:59.000000,170,20.0,221.0,896,1030.0,"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..",18.0,27,True,2021-04-19 22:17:02.000000,1.8.2,33.0,pmdarima,,,,,1040.0,1028.0,https://pypi.org/project/pmdarima,2021-04-19 22:17:02.000000,12.0,400788.0,400788.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +245,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-05-03 15:08:40.000000,2021-04-17 17:45:24.000000,153,68.0,347.0,894,1144.0,Python Extract Transform and Load Tables of Data.,46.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,527.0,413.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,32693.0,33132.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,25055.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +246,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-06-03 11:33:28.000000,2021-06-03 11:33:27.000000,159,143.0,331.0,816,2215.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,57.0,27,True,2021-05-11 16:34:32.000000,0.30.1,43.0,pyvista,conda-forge/pyvista,,,['jupyter'],363.0,337.0,https://pypi.org/project/pyvista,2021-05-11 16:34:32.000000,26.0,34655.0,38118.0,https://anaconda.org/conda-forge/pyvista,2021-05-11 19:09:43.929000,86552.0,,,,,2.0,77.0,,,,,,,,,,,,,,,,,,,,, +247,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-06-02 19:41:46.000000,2021-06-01 21:52:42.000000,92,52.0,99.0,742,432.0,Making text a first-class citizen in TensorFlow.,42.0,27,True,2021-05-24 19:16:25.000000,2.5.0,34.0,tensorflow-text,,,,['tensorflow'],710.0,706.0,https://pypi.org/project/tensorflow-text,2021-05-21 21:08:47.000000,4.0,585657.0,585657.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +248,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 14:49:40.000000,2021-06-01 19:38:40.000000,2021-06-01 19:14:20.000000,120,199.0,242.0,713,1417.0,"An implementation of chunked, compressed, N-dimensional arrays for Python.",43.0,27,True,2021-05-20 14:34:13.000000,2.8.3,37.0,zarr,conda-forge/zarr,,,,771.0,699.0,https://pypi.org/project/zarr,2021-05-20 14:34:13.000000,72.0,52853.0,65265.0,https://anaconda.org/conda-forge/zarr,2021-05-21 03:10:15.230000,757171.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +249,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-03-21 16:52:10.000000,2021-03-21 16:52:09.000000,85,23.0,52.0,627,448.0,Python bindings and utilities for GeoJSON.,44.0,27,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,8588.0,6754.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,620766.0,627218.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,406503.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +250,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 15:47:02.000000,2021-06-02 16:52:56.000000,2021-06-02 16:52:52.000000,99,37.0,87.0,552,628.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-05-24 18:48:39.000000,1.0.0,29.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",301.0,283.0,https://pypi.org/project/tensorflow-data-validation,2021-05-24 18:48:39.000000,18.0,5879804.0,5879810.0,,,,,,,,2.0,226.0,,,,,,,,,,,,,,,,,,,,, +251,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4409,836.0,2523.0,17017,16116.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",266.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,1843.0,2055.0,,,,,,,,3.0,13843.0,,,,,,,,,,,,,,,,,,,,, +252,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-06-03 12:37:37.000000,2021-06-03 05:47:31.000000,5272,301.0,3528.0,15156,1578.0,OpenMMLab Detection Toolbox and Benchmark.,222.0,26,True,2021-06-01 12:11:59.000000,2.13.0,13.0,,,,,['pytorch'],58.0,58.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +253,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-21 12:16:56.000000,2020-01-31 13:06:18.000000,3915,454.0,428.0,11554,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,26,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,391.0,317.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,1846.0,1846.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +254,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-04-28 21:08:43.000000,2021-03-31 19:36:36.000000,1103,481.0,1264.0,10288,,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,,,,,280.0,246.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,28914.0,29016.0,,,,,,,,3.0,4319.0,,,,,,,,,,,,,,,,,,,,, +255,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-06-03 13:49:15.000000,2021-06-03 13:14:29.000000,887,116.0,435.0,7698,2133.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,91.0,26,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,,,['tensorflow'],98.0,86.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,2493.0,2493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +256,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-06-03 14:49:52.000000,2021-06-03 12:26:28.000000,1651,189.0,2730.0,7227,8149.0,A library for answering questions using data you cannot see.,375.0,26,True,2020-11-12 19:57:58.000000,0.3.0,52.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-06-01 10:41:39.000000,6.0,2657.0,2657.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +257,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 14:03:03.000000,2021-05-06 12:01:08.000000,2021-05-06 12:01:05.000000,834,76.0,76.0,6590,264.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],59.0,53.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,91069.0,91069.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +258,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-05-27 03:20:44.000000,2021-02-11 20:51:09.000000,2065,29.0,,6585,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,668.0,598.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,46060.0,46060.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +259,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-06-02 22:16:48.000000,2021-06-02 22:16:44.000000,729,120.0,435.0,5588,,An open source python library for automated feature engineering.,50.0,26,True,2021-05-26 21:11:05.000000,0.24.1,74.0,featuretools,conda-forge/featuretools,,,,830.0,760.0,https://pypi.org/project/featuretools,2021-05-26 21:11:49.000000,70.0,179904.0,181711.0,https://anaconda.org/conda-forge/featuretools,2021-05-26 22:39:09.927000,54215.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +260,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 17:45:59.000000,861,51.0,289.0,4866,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,1153.0,1105.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,47800.0,52114.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,176880.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +261,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-06-02 18:11:36.000000,2021-06-02 18:11:32.000000,588,85.0,518.0,4852,441.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,61.0,26,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],76.0,76.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,8676.0,9225.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,10446.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +262,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-02-16 14:43:27.000000,2020-01-18 07:00:32.000000,1043,226.0,40.0,4597,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,26,False,,,24.0,pdfminer,conda-forge/pdfminer,,,,3770.0,2304.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,151156.0,151442.0,https://anaconda.org/conda-forge/pdfminer,2021-02-15 15:07:18.804000,16603.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +263,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-06-03 13:40:49.833373,2021-06-03 13:19:51.000000,464,57.0,745.0,3632,5455.0,An easier way to build neural search on the cloud.,99.0,26,True,2021-05-29 01:19:02.000000,2.0.0rc4,704.0,jina,,jinaai/jina,,,64.0,64.0,https://pypi.org/project/jina,2021-06-03 13:21:27.000000,,8047.0,40124.0,,,,https://hub.docker.com/r/jinaai/jina,2021-06-03 13:40:49.833373,3.0,513235.0,3.0,,,,,,,,,,,,,,,,,,,,,, +264,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-06-03 09:25:16.000000,2021-06-02 21:44:14.000000,434,114.0,362.0,3342,609.0,"AutoGluon: AutoML for Text, Image, and Tabular Data.",57.0,26,True,2021-04-28 22:25:13.000000,0.2.0,435.0,autogluon,,,,['mxnet'],53.0,53.0,https://pypi.org/project/autogluon,2021-06-03 09:25:16.000000,0.0,22395.0,22395.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +265,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-06-03 13:39:18.000000,2021-06-01 12:27:34.000000,256,50.0,241.0,3273,2182.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,77.0,26,True,2021-05-29 14:38:13.000000,1.3.7,90.0,hub,,,,"['tensorflow', 'pytorch']",178.0,126.0,https://pypi.org/project/hub,2021-05-29 14:38:13.000000,52.0,2016.0,2016.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +266,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-05-27 03:15:18.000000,2021-05-17 16:54:05.000000,478,95.0,532.0,3246,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,98.0,26,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 20:42:26.000000,62.0,157980.0,157980.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +267,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 14:28:59.000000,2021-06-02 12:43:18.000000,2021-06-02 12:43:17.000000,612,128.0,757.0,3145,837.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",111.0,26,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 12:37:09.000000,50.0,11073.0,11073.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +268,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-05-10 18:34:53.000000,2021-05-10 18:34:53.000000,365,118.0,37.0,3123,57.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],2764.0,2646.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,65873.0,65873.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +269,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-05-17 14:04:12.000000,2019-11-14 08:37:39.000000,439,89.0,121.0,3018,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,43127.0,43327.0,https://anaconda.org/conda-forge/textract,2021-05-16 12:45:14.907000,11417.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +270,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-05-19 10:09:45.000000,2021-03-15 18:43:06.000000,780,33.0,74.0,3015,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2977.0,2691.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,132574.0,132574.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +271,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-06-02 18:13:16.992000,2021-06-02 09:31:22.000000,284,84.0,131.0,2966,831.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2021-01-28 12:05:40.000000,0.4.3,30.0,nevergrad,conda-forge/nevergrad,,,,189.0,175.0,https://pypi.org/project/nevergrad,2021-04-19 09:16:19.000000,14.0,26193.0,26847.0,https://anaconda.org/conda-forge/nevergrad,2021-06-02 18:13:16.992000,9161.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +272,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-05-29 14:30:25.000000,2021-05-29 14:30:15.000000,495,10.0,576.0,2958,2051.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,26,True,2021-03-22 21:45:44.000000,0.6.3,12.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1709.0,1709.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +273,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-06-02 18:11:51.000000,2021-06-02 18:11:51.000000,360,95.0,229.0,2483,1207.0,"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.",32.0,26,True,2021-05-31 19:45:35.000000,1.0.3,44.0,clearml,,allegroai/trains,,,41.0,41.0,https://pypi.org/project/clearml,2021-05-31 21:42:28.000000,0.0,19741.0,21005.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30053.0,2.0,304.0,,,,,,,,,,,,,,,,,,,,, +274,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-03-23 06:32:48.000000,2021-03-23 06:32:48.000000,195,19.0,49.0,2447,168.0,A simple command-line utility for querying and monitoring GPU status.,12.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,971.0,913.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,341068.0,343389.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,62681.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +275,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-05-27 17:38:36.000000,2021-05-24 15:19:12.000000,508,252.0,290.0,2285,838.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],509.0,487.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,57778.0,57778.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +276,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-05-18 20:58:41.000000,2021-01-19 09:51:49.000000,311,117.0,175.0,2127,4111.0,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,,,,262.0,226.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,2108.0,10502.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,428131.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +277,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 21:26:30.000000,460,41.0,87.0,2110,234.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,26,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],372.0,366.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,15256.0,20737.0,,,,,,,,2.0,104143.0,,,,,,,,,,,,,,,,,,,,, +278,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-06-03 13:17:31.000000,2021-06-01 10:55:26.000000,792,152.0,161.0,1969,,Interactive Parallel Computing in Python.,98.0,26,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2057.0,1567.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,53921.0,61149.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,448196.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +279,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-06-02 23:20:43.000000,2021-06-02 23:20:35.000000,199,43.0,137.0,1951,916.0,Bayesian optimization in PyTorch.,54.0,26,True,2021-02-23 21:33:59.000000,0.4.0,16.0,botorch,,,,['pytorch'],127.0,127.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,51943.0,51943.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +280,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-04-29 00:07:09.000000,2021-02-18 01:03:15.000000,279,233.0,716.0,1925,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,26,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],71.0,67.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,8593.0,8593.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +281,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 03:16:39.000000,2021-06-03 10:51:46.000000,2021-06-03 10:50:35.000000,174,10.0,25.0,1889,391.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,26,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],211.0,211.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,28814.0,28814.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +282,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-06-03 14:42:16.000000,2021-06-03 13:49:07.000000,365,111.0,561.0,1877,645.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,48.0,26,True,2021-04-13 15:04:29.000000,0.8.0,34.0,haystack,,,,,220.0,54.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1555.0,1555.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +283,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-03-03 14:08:08.000000,2021-03-03 14:08:00.000000,102,3.0,116.0,1861,517.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,292.0,292.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,81179.0,81179.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +284,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 22:35:28.000000,296,132.0,64.0,1843,271.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,629.0,499.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,78757.0,78757.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +285,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 08:02:14.000000,2021-05-28 12:29:28.000000,2021-05-28 12:29:21.000000,145,105.0,570.0,1556,3375.0,Ahead of Time compiler for numeric kernels.,55.0,26,True,2021-05-23 08:40:13.000000,0.9.11,48.0,pythran,conda-forge/pythran,,,,79.0,53.0,https://pypi.org/project/pythran,2021-05-23 08:40:13.000000,26.0,9031.0,13359.0,https://anaconda.org/conda-forge/pythran,2021-05-24 13:13:19.605000,160158.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,, +286,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-06-02 05:07:53.000000,2021-02-04 04:34:33.000000,273,97.0,112.0,1540,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,,124.0,122.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,34646.0,34646.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +287,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-06-02 06:52:35.000000,2021-06-02 06:48:06.000000,207,21.0,93.0,1494,195.0,"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,,,,,376.0,290.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,261798.0,261798.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,, +288,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-04-23 12:34:45.000000,2021-04-21 22:10:18.000000,290,22.0,123.0,1478,496.0,Distributed Deep learning with Keras & Spark.,27.0,26,True,2021-04-23 12:34:45.000000,2.1.0,21.0,elephas,,,,"['keras', 'spark']",45.0,42.0,https://pypi.org/project/elephas,2021-04-21 22:11:22.000000,3.0,14584.0,14584.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +289,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-06-03 06:29:55.000000,2021-06-02 22:55:07.000000,448,258.0,382.0,1460,3576.0,TFX is an end-to-end platform for deploying production ML pipelines.,116.0,26,True,2021-05-17 23:24:51.000000,0.30.0,51.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-05-26 18:17:34.000000,4.0,217783.0,217783.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +290,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-04-29 19:45:29.000000,2021-04-29 19:45:29.000000,128,12.0,89.0,1451,,a python library for doing approximate and phonetic matching of strings.,23.0,26,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,3078.0,2432.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,1497916.0,1500203.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,130392.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +291,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-06-02 18:12:58.000000,2021-06-02 17:55:41.000000,197,138.0,119.0,1156,642.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,39.0,26,True,2021-05-14 17:16:36.000000,0.11.0,71.0,petastorm,,,,,31.0,31.0,https://pypi.org/project/petastorm,2021-06-02 18:12:58.000000,0.0,111152.0,111160.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,, +292,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 20:34:28.000000,2021-06-03 08:49:36.000000,2021-06-03 08:49:27.000000,247,74.0,125.0,1054,569.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",52.0,26,True,2020-09-14 04:46:03.000000,0.5.0,22.0,tensorflow-model-optimization,,,,['tensorflow'],848.0,842.0,https://pypi.org/project/tensorflow-model-optimization,2021-05-17 04:00:04.000000,6.0,202326.0,202326.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +293,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-06-03 09:55:09.000000,2021-05-31 04:59:58.000000,211,122.0,477.0,1032,,Exploratory analysis of Bayesian models with Python.,83.0,26,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,1003.0,967.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,240012.0,252210.0,https://anaconda.org/conda-forge/arviz,2021-04-20 19:35:43.998000,304912.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,, +294,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-04-02 08:59:38.000000,2020-09-10 12:12:45.000000,118,126.0,122.0,917,1280.0,A columnar data container that can be compressed.,33.0,26,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2558.0,1590.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,27302.0,32018.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,245255.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +295,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-05-21 17:15:24.000000,2021-05-21 17:07:18.000000,300,128.0,378.0,664,3573.0,The Classical Language Toolkit.,111.0,26,True,2021-05-21 17:15:24.000000,1.0.14,184.0,cltk,,,,,237.0,169.0,https://pypi.org/project/cltk,2021-05-21 17:15:24.000000,68.0,2432.0,2432.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,, +296,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-04-12 07:55:03.000000,2020-10-29 10:14:55.000000,159,77.0,252.0,583,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2021-03-15 08:26:39.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,23728.0,23728.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +297,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-05-19 01:30:43.000000,2021-05-19 01:30:43.000000,100,77.0,198.0,570,1681.0,"Intake is a lightweight package for finding, investigating, loading and disseminating data.",60.0,26,True,2021-03-16 19:53:00.000000,0.6.2,21.0,intake,conda-forge/intake,,,,337.0,263.0,https://pypi.org/project/intake,2021-03-16 19:53:00.000000,74.0,7875.0,10413.0,https://anaconda.org/conda-forge/intake,2021-03-16 21:22:12.681000,78681.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +298,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-06-03 02:01:58.000000,2021-03-23 00:21:53.000000,59,16.0,63.0,518,,"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.",29.0,26,True,2021-03-03 01:35:47.000000,5.3.0,33.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2021-03-03 01:35:47.000000,1388.0,1548611.0,1551760.0,https://anaconda.org/conda-forge/inflect,2021-03-03 03:46:48.932000,157459.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +299,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,364,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,26,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,5776.0,5190.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,487084.0,491063.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,234815.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +300,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,25,6.0,16.0,170,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,26,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,11148.0,10758.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,1978265.0,2012634.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,927968.0,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,,,, +301,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-06-02 14:43:25.000000,2021-06-02 14:43:25.000000,1734,84.0,469.0,16568,463.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-04-15 15:05:07.000000,2.2.2,33.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-04-15 15:05:07.000000,0.0,9605.0,66437.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,52239.0,,,,,2.0,1081670.0,,,,,,,,,,,,,,,,,,,,, +302,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-06-03 13:31:39.000000,2021-06-02 12:15:51.000000,2544,659.0,1424.0,12719,,"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, support 80+ languages..",56.0,25,True,2021-05-26 11:43:06.000000,2.1.1,13.0,paddleocr,,,,['paddle'],164.0,164.0,https://pypi.org/project/paddleocr,2021-04-13 04:02:10.000000,0.0,6173.0,6173.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +303,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1103,57.0,203.0,7260,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,292.0,252.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1235.0,1815.0,,,,,,,,2.0,26695.0,,,,,,,,,,,,,,,,,,,,, +304,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-06-03 12:56:34.000000,2021-06-03 12:56:33.000000,904,229.0,2190.0,6343,6978.0,"An open source vector database powered by Faiss, NMSLIB and Annoy.",141.0,25,True,2021-05-28 12:08:37.000000,1.1.1,48.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-05-28 12:08:37.000000,6.0,16332.0,32875.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-05-07 02:44:21.071424,11.0,347410.0,2.0,,,,,,,,,,,,,,,,,,,,,, +305,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-06-03 09:14:41.000000,2021-05-28 07:36:01.000000,474,319.0,453.0,6306,3025.0,"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..",43.0,25,True,2021-03-18 09:19:49.000000,4.1.0,51.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-03-18 09:19:49.000000,4.0,13905.0,15798.0,https://anaconda.org/conda-forge/vaex,2021-03-09 14:33:41.948000,105900.0,,,,,3.0,209.0,,,,,,,,,,,,,,,,,,,,, +306,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-05-30 20:51:27.000000,2021-05-28 01:21:21.000000,599,77.0,116.0,6207,1509.0,Trax Deep Learning with Clear Code and Speed.,70.0,25,True,2021-05-21 19:54:43.000000,1.3.9,22.0,trax,,,,,28.0,28.0,https://pypi.org/project/trax,2021-05-21 19:54:03.000000,,5659.0,5659.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +307,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-06-03 00:01:14.000000,2021-06-03 00:01:09.000000,787,131.0,74.0,6196,1585.0,A natural language modeling framework based on PyTorch.,194.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],82.0,81.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,491.0,498.0,,,,,,,,3.0,235.0,,,,,,,,,,,,,,,,,,,,, +308,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-06-03 14:58:21.000000,2021-04-21 21:38:33.000000,1807,365.0,2876.0,6025,4761.0,Open-source simulator for autonomous driving research.,122.0,25,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,73.0,69.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,784.0,784.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +309,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-06-03 04:46:22.000000,2021-02-10 16:16:29.000000,692,66.0,445.0,5448,,Official Stanford NLP Python Library for Many Human Languages.,32.0,25,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,,496.0,492.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,40907.0,41155.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3722.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +310,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-06-03 06:45:03.000000,2021-05-31 12:38:06.000000,1132,255.0,567.0,5153,,"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..",37.0,25,True,2021-04-27 09:56:48.000000,2.1.0,45.0,paddlehub,,,,['paddle'],259.0,259.0,https://pypi.org/project/paddlehub,2021-04-27 09:56:48.000000,0.0,3259.0,3277.0,,,,,,,,2.0,500.0,,,,,,,,,,,,,,,,,,,,, +311,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 22:14:54.000000,1316,43.0,212.0,5051,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],598.0,496.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,2326.0,2326.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +312,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-06-03 12:09:19.000000,2021-06-03 12:08:35.000000,481,232.0,257.0,5027,583.0,"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.",54.0,25,True,2021-04-30 19:40:48.000000,0.3.16,24.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],40.0,40.0,https://pypi.org/project/deepspeed,2021-04-30 19:28:56.000000,0.0,29442.0,29943.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,2.0,8526.0,2.0,,,,,,,,,,,,,,,,,,,,,, +313,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 01:28:08.000000,767,212.0,327.0,4637,1796.0,"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'],305.0,227.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,2392.0,2392.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,, +314,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 00:18:46.000000,2021-06-03 15:23:34.000000,2021-06-03 00:39:36.000000,555,131.0,756.0,4490,,Always know what to expect from your data.,196.0,25,True,2021-04-24 00:01:07.000000,0.13.19,110.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-04-23 23:47:28.000000,6.0,972124.0,972124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +315,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,805,118.0,67.0,4441,511.0,Image augmentation library in Python for machine learning.,22.0,25,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,362.0,320.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,16765.0,16765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +316,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2021-06-02 22:47:55.000000,2020-07-14 02:41:10.000000,681,117.0,84.0,4402,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,25,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],929.0,901.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,2472.0,2485.0,,,,,,,,3.0,507.0,,,,,,,,,,,,,,,,,,,,, +317,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-03-19 16:01:00.000000,2021-03-19 15:48:33.000000,592,65.0,98.0,4212,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],567.0,561.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1285.0,1285.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +318,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-06-03 07:20:38.000000,2021-06-03 04:02:04.000000,557,34.0,320.0,4099,,Deep Learning Visualization Toolkit.,30.0,25,True,2021-05-24 15:45:53.000000,2.2.0,32.0,visualdl,,,,['paddle'],376.0,366.0,https://pypi.org/project/visualdl,2021-05-23 12:50:12.000000,10.0,15161.0,15171.0,,,,,,,,3.0,126.0,,,,,,,,,,,,,,,,,,,,, +319,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 15:08:24.000000,2021-06-03 14:12:18.000000,2021-06-03 11:54:09.000000,549,156.0,319.0,4032,,A unified framework for machine learning with time series.,92.0,25,True,2021-05-14 23:18:54.000000,0.6.1,15.0,sktime,,,,['sklearn'],168.0,168.0,https://pypi.org/project/sktime,2021-05-14 23:18:54.000000,0.0,65215.0,65217.0,,,,,,,,2.0,58.0,,,,,,,,,,,,,,,,,,,,, +320,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-06-02 02:57:34.000000,2021-06-02 02:57:34.000000,906,185.0,729.0,3731,2666.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,73.0,25,True,2021-04-21 01:53:25.000000,0.12.2,39.0,bigdl,,,,,32.0,26.0,https://pypi.org/project/bigdl,2021-04-07 05:17:55.000000,6.0,2577.0,2577.0,,,,,,,,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,, +321,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-06-03 06:31:58.000000,2021-05-30 23:53:45.000000,1340,154.0,1249.0,3690,26398.0,mlpack: a scalable C++ machine learning library --.,274.0,25,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 18:28:47.000000,0.0,1080.0,3262.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,76378.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +322,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-05-25 20:46:24.000000,2021-05-25 20:25:18.000000,945,12.0,338.0,3678,622.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,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 20:44:29.000000,5.0,110628.0,110628.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +323,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,585,79.0,342.0,3631,428.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",44.0,25,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,530.0,474.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,189764.0,192045.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,93527.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +324,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 21:45:14.000000,2021-06-02 22:30:44.000000,2021-06-01 15:12:29.000000,458,50.0,320.0,3411,488.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,37.0,25,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,,,['tensorflow'],40.0,40.0,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,11136.0,11136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +325,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-02-17 12:42:04.000000,2020-12-21 19:51:57.000000,600,16.0,226.0,3362,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,25,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 18:55:11.000000,202.0,34597.0,34597.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +326,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 17:20:35.000000,2021-05-31 07:00:13.000000,2021-05-10 03:58:39.000000,415,38.0,221.0,3252,704.0,"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 02:52:47.000000,0.9.99,159.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],87.0,87.0,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11.000000,0.0,13719.0,13874.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-05-10 03:54:12.379000,2651.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +327,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-06-02 19:07:07.000000,2021-06-02 15:29:13.000000,549,354.0,828.0,2657,,High-performance interactive 2D/3D data visualization library.,150.0,25,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],636.0,514.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,32272.0,35748.0,https://anaconda.org/conda-forge/vispy,2021-04-30 14:06:59.690000,150776.0,,,,,3.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,50.0,,,,,,,,,,,,,, +328,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,447,13.0,78.0,2583,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,25,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,993.0,801.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,23338.0,23338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +329,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-06-02 09:07:22.000000,2021-06-02 09:07:22.000000,300,30.0,31.0,2455,2687.0,Neural Network Libraries.,58.0,25,True,2021-04-14 00:00:37.000000,1.19.0,55.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-04-13 05:42:15.000000,34.0,2651.0,2662.0,,,,,,,,3.0,523.0,,,,,,,,,,,,,,,,,,,,, +330,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 08:31:47.000000,304,88.0,158.0,2089,209.0,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'],244.0,202.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,41943.0,41943.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +331,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,247,21.0,39.0,2086,130.0,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'],1051.0,997.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,131384.0,133295.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,89824.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +332,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-05-18 17:59:44.000000,2021-05-18 17:59:40.000000,294,38.0,145.0,1997,316.0,Uplift modeling and causal inference with machine learning algorithms.,26.0,25,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,21.0,21.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,24384.0,24384.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +333,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1979,304.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",9.0,25,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,634.0,606.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,280458.0,281496.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,38356.0,,,,,3.0,105.0,,,,,,,,,,,,,,,,,,,,, +334,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-04-18 18:12:08.000000,2020-09-15 16:19:36.000000,416,59.0,55.0,1835,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,25,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],630.0,626.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,99420.0,106471.0,,,,,,,,3.0,176298.0,,,,,,,,,,,,,,,,,,,,, +335,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-06-01 10:58:51.000000,2021-06-01 10:30:13.000000,567,232.0,511.0,1808,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,93.0,25,True,2021-03-31 09:08:49.000000,0.1.14,13.0,pgmpy,,,,,245.0,233.0,https://pypi.org/project/pgmpy,2021-03-31 07:30:01.000000,12.0,29874.0,29880.0,,,,,,,,3.0,75.0,,,,,,,,,,,,,,,,,,,,, +336,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-05-31 17:18:30.000000,2021-05-31 16:43:05.000000,226,30.0,207.0,1686,,"NLP, before and after spaCy.",31.0,25,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 15:49:48.000000,154.0,224994.0,226807.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,88842.0,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,,, +337,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 19:32:37.000000,2021-06-01 17:33:53.000000,2020-07-31 10:43:44.000000,305,73.0,136.0,1668,671.0,A library of sklearn compatible categorical variable encoders.,37.0,25,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,353412.0,355208.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,105967.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +338,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-04-05 23:39:32.730000,2020-12-19 19:11:44.000000,80,19.0,77.0,1655,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],368.0,336.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,32.0,78347.0,82236.0,https://anaconda.org/conda-forge/swifter,2021-04-05 23:39:32.730000,101125.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +339,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 13:08:13.000000,2021-05-26 19:14:34.000000,2021-05-17 21:34:48.000000,235,69.0,171.0,1642,,A machine learning toolkit dedicated to time-series data.,31.0,25,True,2021-05-17 21:36:57.000000,0.5.1.0,93.0,tslearn,conda-forge/tslearn,,,['sklearn'],260.0,238.0,https://pypi.org/project/tslearn,2021-05-17 21:47:34.000000,22.0,68685.0,74166.0,https://anaconda.org/conda-forge/tslearn,2021-05-18 05:23:58.496000,213759.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +340,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-05-22 00:32:56.000000,2021-05-22 00:32:56.000000,217,17.0,64.0,1598,348.0,Beautiful visualizations of how language differs among document types.,11.0,25,True,2021-03-08 07:54:17.000000,0.1.2,131.0,scattertext,conda-forge/scattertext,,,,203.0,187.0,https://pypi.org/project/scattertext,2021-03-08 07:54:17.000000,16.0,2432.0,3535.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,50765.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +341,PandaralΒ·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-05-06 18:57:22.000000,2021-02-04 21:27:26.000000,107,69.0,56.0,1580,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,25,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,"['pandas', 'jupyter']",232.0,232.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,154525.0,154525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +342,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-06-03 14:43:54.000000,2021-05-30 14:28:28.000000,181,45.0,89.0,1481,2009.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",36.0,25,True,2021-05-24 02:20:28.000000,0.2.16,36.0,textattack,,,,,26.0,26.0,https://pypi.org/project/textattack,2021-05-24 02:20:28.000000,0.0,3215.0,3215.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +343,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-03-27 15:02:05.000000,2021-03-23 20:36:58.000000,201,63.0,148.0,1464,157.0,A Python wrapper for the tesseract-ocr API.,24.0,25,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,603.0,503.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,100.0,48000.0,50347.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,46946.0,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,,,, +344,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1453,4930.0,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,,,,,303.0,243.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,5807.0,5807.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +345,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-05-29 11:58:50.000000,2021-03-10 20:05:40.000000,435,39.0,54.0,1401,318.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",43.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,100.0,96.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,6824.0,6824.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +346,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-05-05 21:02:30.000000,2021-05-05 21:02:21.000000,298,88.0,329.0,1212,1468.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,139.0,115.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,1480.0,1654.0,,,,,,,,2.0,10987.0,,,,,,,,,,,,,,,,,,,,, +347,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-05-31 18:54:12.000000,2021-05-31 18:54:12.000000,234,55.0,137.0,1158,,"CUDA integration for Python, plus shiny features.",72.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1160.0,868.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,31789.0,31789.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +348,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 18:58:08.000000,279,56.0,210.0,1076,438.0,bt - flexible backtesting for Python.,24.0,25,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,,77.0,57.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,20.0,10690.0,10690.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +349,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 01:09:14.000000,2021-05-31 11:34:03.000000,2021-05-25 04:32:53.000000,736,118.0,228.0,1041,3064.0,Documentation and samples for ArcGIS API for Python.,62.0,25,True,2021-04-12 03:08:40.000000,1.8.5,29.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-04-12 03:28:09.000000,20.0,46947.0,47015.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,32.0,4302.0,3.0,,,,,,,,,,,,,,,,,,,,,, +350,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-03-30 16:22:41.000000,2021-01-25 00:27:51.000000,150,3.0,104.0,964,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,25,True,2021-03-30 16:22:41.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],1042.0,1000.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,42.0,15945.0,15945.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +351,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 21:45:49.000000,2021-05-19 01:12:26.000000,2021-05-19 01:12:26.000000,119,91.0,134.0,950,745.0,Real-time stream processing for python.,40.0,25,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,225.0,209.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,7140.0,10695.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,159991.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +352,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 00:58:10.000000,195,18.0,73.0,868,351.0,ffn - a financial function library for Python.,26.0,25,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,,168.0,126.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,15378.0,15378.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +353,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-03-07 06:05:41.000000,2021-03-07 06:05:39.000000,342,18.0,111.0,862,462.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",17.0,25,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,610.0,584.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,118318.0,118318.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +354,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-05-24 01:58:42.000000,2021-05-19 20:32:28.000000,200,9.0,337.0,828,2293.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,25,True,2021-05-19 21:33:40.000000,0.26.3,151.0,ktrain,,,,['tensorflow'],182.0,180.0,https://pypi.org/project/ktrain,2021-05-19 21:32:11.000000,2.0,18988.0,18988.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +355,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-04-29 14:20:20.000000,2021-04-29 14:20:17.000000,105,20.0,18.0,789,188.0,"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.",26.0,25,False,2021-02-25 20:41:17.000000,5.11.0,104.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2021-03-22 20:41:58.000000,300.0,77722.0,77722.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +356,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,158,62.0,142.0,731,1659.0,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'],51.0,17.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,28528.0,41381.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,303851.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,7872.0,,,,,,,,,,,,,, +357,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-06-03 13:31:08.000000,2021-06-02 20:30:25.000000,195,55.0,1948.0,727,7617.0,Scalable genomic data analysis.,73.0,25,True,2021-05-27 15:53:34.000000,0.2.68,88.0,hail,,,,['spark'],39.0,39.0,https://pypi.org/project/hail,2021-05-27 15:53:39.000000,0.0,10115.0,10115.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +358,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-05-31 13:33:21.000000,2021-05-31 13:33:21.000000,132,16.0,58.0,688,1280.0,Computer Vision in Python.,31.0,25,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,829.0,639.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,35429.0,39897.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,281498.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +359,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-06-01 11:13:13.000000,2021-05-20 14:06:32.000000,123,100.0,287.0,676,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,25,True,2021-02-25 17:30:52.000000,0.20.13,49.0,pyjanitor,conda-forge/pyjanitor,,,,103.0,99.0,https://pypi.org/project/pyjanitor,2021-02-25 17:30:52.000000,4.0,10733.0,13049.0,https://anaconda.org/conda-forge/pyjanitor,2021-03-25 12:03:18.871000,90329.0,,,,,2.0,,,,,,,,,,,,,pyjanitor-devs/pyjanitor,,,,,,,,, +360,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-03-27 18:19:12.000000,2021-03-27 17:10:43.000000,88,35.0,68.0,613,412.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,21.0,25,True,2021-03-27 18:19:12.000000,1.4.2,24.0,pyahocorasick,conda-forge/pyahocorasick,,,,731.0,627.0,https://pypi.org/project/pyahocorasick,2021-03-27 18:19:12.000000,104.0,275270.0,278215.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,123720.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +361,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 21:24:50.000000,2021-06-03 09:46:17.000000,2021-06-03 00:27:52.000000,66,55.0,243.0,557,79524.0,TensorFlow ROCm port.,3678.0,25,True,2021-05-21 16:17:54.000000,2.4.3,66.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2021-05-21 16:17:54.000000,,1381.0,1381.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,, +362,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-06-02 16:28:22.000000,2021-06-02 16:28:21.000000,66,7.0,21.0,417,2265.0,Python bindings for MPI.,17.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,222465.0,233992.0,https://anaconda.org/conda-forge/mpi4py,2021-04-29 12:43:41.965000,651564.0,,,,,2.0,1069.0,,,,,,,,,,,,,,,,,,,,, +363,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-05-27 14:03:29.000000,2021-05-27 14:03:29.000000,57,118.0,248.0,398,405.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",29.0,25,True,2021-05-23 04:35:42.000000,0.7.2,21.0,hvplot,conda-forge/hvplot,,,,638.0,608.0,https://pypi.org/project/hvplot,2021-05-22 18:03:04.000000,30.0,25444.0,28105.0,https://anaconda.org/conda-forge/hvplot,2021-05-23 10:57:42.453000,90495.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +364,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-05-20 18:34:31.000000,2021-05-20 18:34:31.000000,50,28.0,36.0,396,490.0,A Python nearest neighbor descent for approximate nearest neighbors.,13.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,,512.0,506.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,370543.0,376314.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,138513.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +365,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,46,57.0,92.0,383,493.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,7966.0,7226.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,651820.0,651847.0,,,,,,,,2.0,2394.0,,,,,,,,,,,,,,,,,,,,, +366,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-05-27 20:33:58.000000,2021-05-27 20:33:49.000000,52,46.0,26.0,280,544.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,22.0,25,True,2021-05-19 01:55:11.000000,0.1.15,18.0,tensorflow-cloud,,,,['tensorflow'],64.0,64.0,https://pypi.org/project/tensorflow-cloud,2021-05-19 01:55:11.000000,0.0,210366.0,210366.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +367,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-03-31 15:32:56.000000,,3125,103.0,,16963,,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",93.0,24,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 10:05:12.000000,58.0,10547.0,10547.0,,,,,,,,3.0,,-7.0,,,,,,,,,,,,,,,,,,,, +368,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-05-28 09:08:10.000000,2021-05-28 09:08:09.000000,394,59.0,196.0,6960,1786.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",44.0,24,True,2021-05-23 10:21:18.000000,5.13.0,49.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-05-23 10:20:17.000000,,7733.0,8159.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-05-24 19:37:52.364520,3.0,9807.0,3.0,,,,,,,,,,,,,,,,,,,,,, +369,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 20:45:07.000000,1585,456.0,1337.0,6247,6625.0,"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,,,,,139.0,101.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,3177.0,3177.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +370,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-05-05 16:30:37.000000,2021-05-05 16:30:24.000000,1054,40.0,204.0,4956,204.0,2D and 3D Face alignment library build using pytorch.,23.0,24,True,2021-04-28 22:17:22.000000,1.3.4,10.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2021-04-28 22:17:22.000000,12.0,6870.0,6870.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +371,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-04-29 02:55:52.000000,2020-05-03 07:13:22.000000,548,54.0,49.0,4777,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,24,False,,,18.0,flashtext,,,,,501.0,469.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,338818.0,338818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +372,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 20:28:30.000000,983,139.0,402.0,3777,1161.0,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,,,,,1327.0,821.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,2549.0,2549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +373,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-06-02 23:05:29.000000,2021-06-02 23:04:37.000000,612,27.0,116.0,3539,218.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-06-02 23:04:51.000000,0.2.2,6.0,torchdiffeq,,,,['pytorch'],98.0,98.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000000,0.0,4627.0,4627.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +374,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-06-01 20:53:34.000000,2021-05-21 02:00:15.000000,475,239.0,1238.0,3510,5726.0,ArrayFire: a general purpose GPU library.,82.0,24,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,1430.0,1447.0,,,,,,,,2.0,1253.0,,,,,,,,,,,,,,,,,,,,, +375,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-05-03 12:18:32.000000,2021-05-03 12:18:31.000000,469,51.0,196.0,3501,2154.0,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 10:13:17.000000,16.0,4368.0,4368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +376,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-06-03 06:57:42.000000,2021-06-03 06:57:42.000000,115,23.0,46.0,3148,310.0,"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).",12.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,601.0,591.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,104623.0,104866.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,5105.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +377,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-05-31 08:57:08.000000,2021-05-31 08:57:08.000000,442,26.0,94.0,2956,451.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,43.0,24,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,41.0,41.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,27502.0,27670.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,2177.0,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,, +378,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 10:12:35.000000,515,190.0,107.0,2886,1340.0,"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,,,,,64.0,62.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,4914.0,4979.0,,,,,,,,3.0,2568.0,,,,,,,,,,,,,,,,,,,,, +379,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 01:03:12.000000,595,114.0,99.0,2826,195.0,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'],1100.0,1044.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,3397.0,3397.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +380,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-06-02 18:20:55.000000,2021-06-02 18:20:44.000000,175,17.0,111.0,2693,1066.0,"Wrap UIs around any model, share with anyone.",19.0,24,True,2021-06-01 20:25:06.000000,2.0.2,100.0,gradio,,,,,152.0,150.0,https://pypi.org/project/gradio,2021-06-01 20:25:06.000000,2.0,6615.0,6615.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +381,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 09:34:48.000000,2021-06-03 03:49:23.000000,2021-06-01 00:59:40.000000,187,37.0,321.0,2418,426.0,Visualizer for pandas data structures.,15.0,24,True,2021-05-29 00:12:35.000000,1.48.0,121.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",165.0,165.0,https://pypi.org/project/dtale,2021-05-29 00:10:04.000000,0.0,12184.0,15877.0,https://anaconda.org/conda-forge/dtale,2021-05-29 00:28:51.336000,59103.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +382,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-05-20 17:58:42.000000,2021-05-20 17:14:24.000000,365,363.0,354.0,2227,,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",113.0,24,True,2021-02-05 02:07:15.000000,4.1,28.0,coremltools,,,,,805.0,539.0,https://pypi.org/project/coremltools,2021-02-05 01:28:44.000000,266.0,49940.0,49997.0,,,,,,,,2.0,2603.0,,,,,,,,,,,,,,,,,,,,, +383,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-05-31 08:00:47.000000,2021-05-31 08:00:13.000000,226,49.0,58.0,2097,452.0,A library of reinforcement learning components and agents.,39.0,24,True,2021-05-26 17:12:29.000000,0.2.1,10.0,dm-acme,,,,['tensorflow'],29.0,29.0,https://pypi.org/project/dm-acme,2021-05-26 17:12:54.000000,0.0,1496.0,1496.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +384,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-05-19 16:48:02.000000,2021-05-19 15:52:48.000000,290,52.0,65.0,1947,400.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2021-05-18 16:13:10.000000,2.6.0,29.0,sru,,,,['pytorch'],18.0,16.0,https://pypi.org/project/sru,2021-05-18 16:13:10.000000,2.0,4094.0,4094.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +385,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 18:40:41.000000,720,38.0,145.0,1929,522.0,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,,,,425.0,397.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,3088.0,3378.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,11620.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +386,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-04-08 15:39:47.000000,2021-01-26 22:23:57.000000,229,14.0,49.0,1923,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],241.0,223.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,6330.0,6330.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +387,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 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,552,23.0,49.0,1912,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,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 01:46:13.000000,300.0,124907.0,124907.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +388,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-06-02 22:31:38.000000,2021-06-02 20:50:38.000000,188,18.0,97.0,1861,374.0,DDSP: Differentiable Digital Signal Processing.,26.0,24,True,2021-04-19 04:30:53.000000,1.3.0,32.0,ddsp,,,,['tensorflow'],11.0,11.0,https://pypi.org/project/ddsp,2021-06-02 20:59:06.000000,,1593.0,1593.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +389,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-06-03 12:41:36.000000,2021-06-03 12:41:36.000000,413,307.0,579.0,1834,2832.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",71.0,24,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,201.0,191.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,3824.0,3824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +390,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-06-01 14:56:51.000000,2021-03-24 08:34:28.000000,225,27.0,128.0,1761,945.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,24,True,2021-03-20 11:39:58.000000,1.0.6,29.0,spektral,,,,"['tensorflow""']",55.0,55.0,https://pypi.org/project/spektral,2021-03-20 11:39:58.000000,0.0,3422.0,3422.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +391,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,152,66.0,122.0,1631,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,24,True,2020-10-02 21:41:53.000000,0.6.3,19.0,hypertools,,,,,129.0,120.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,1754.0,1754.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +392,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-05-28 11:22:03.000000,2021-05-27 19:09:47.000000,208,20.0,80.0,1545,364.0,A python library for decision tree visualization and model interpretation.,16.0,24,True,2021-03-16 21:49:18.000000,1.2,23.0,dtreeviz,,,,,164.0,160.0,https://pypi.org/project/dtreeviz,2021-04-05 19:35:08.000000,4.0,36305.0,36305.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +393,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,393,56.0,36.0,1530,55.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",14.0,24,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],1209.0,1167.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,23679.0,23679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +394,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-06-01 22:24:45.000000,2021-03-10 15:44:00.000000,117,67.0,108.0,1436,978.0,Extract Transform Load for Python 3.5+.,37.0,24,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,167.0,115.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,8268.0,8268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +395,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 12:09:24.000000,2021-05-31 09:40:24.000000,2021-05-31 09:40:19.000000,431,8.0,315.0,1427,585.0,Python sync/async framework for Interactive Brokers API.,28.0,24,True,2021-04-26 18:22:55.000000,0.9.66,91.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2021-04-26 18:22:55.000000,12.0,5875.0,6303.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,9866.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +396,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 19:36:17.000000,190,30.0,35.0,1321,156.0,"Simple tools for logging and visualizing, loading and training.",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],632.0,582.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,15174.0,15174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +397,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-04-28 13:19:12.000000,2021-04-28 13:19:08.000000,149,19.0,20.0,1317,118.0,fklearn: Functional Machine Learning.,37.0,24,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,9203.0,9203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +398,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-05-31 12:57:45.000000,2021-01-07 09:40:40.000000,195,55.0,51.0,1254,648.0,A modular active learning framework for Python.,14.0,24,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],85.0,77.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,2686.0,2686.0,,,,,,,,2.0,14.0,,,,,,,,,,,,,,,,,,,,, +399,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-04-19 07:05:28.000000,2021-04-18 01:50:23.000000,209,16.0,83.0,1235,452.0,Contextually-keyed word vectors.,15.0,24,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,80.0,68.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,4569.0,5904.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,19053.0,,,,,3.0,16268.0,,,,,,,,,,,,,,,,,,,,, +400,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-05-26 01:40:27.000000,2021-05-26 01:40:25.000000,223,205.0,787.0,1174,1212.0,A toolkit for reproducible reinforcement learning research.,75.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,336.0,336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +401,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-05-30 19:40:15.000000,2021-03-11 15:42:19.000000,94,12.0,155.0,1098,2619.0,Multi-class confusion matrix library in Python.,14.0,24,True,2021-03-11 15:51:49.000000,3.1,35.0,pycm,,,,,115.0,105.0,https://pypi.org/project/pycm,2021-03-11 15:52:23.000000,10.0,11617.0,11617.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,, +402,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-06-03 10:49:47.000000,2021-02-07 23:24:31.000000,138,3.0,70.0,1080,323.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",16.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],544.0,534.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,37028.0,37028.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +403,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-05-17 08:02:39.000000,2021-05-14 14:10:04.000000,113,48.0,,959,1329.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",15.0,24,True,2021-04-21 07:12:29.000000,1.0.2,44.0,spacy-transformers,,,,['spacy'],177.0,171.0,https://pypi.org/project/spacy-transformers,2021-02-02 09:54:58.000000,6.0,39315.0,39315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +404,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-06-03 14:52:36.000000,2021-06-03 14:25:30.000000,270,102.0,305.0,885,1958.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,59.0,24,True,2021-05-03 08:34:16.000000,0.15.1,22.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-05-03 08:31:01.000000,20.0,6244.0,6245.0,,,,,,,,2.0,56.0,,,,,,,,,,,,,,,,,,,,, +405,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,241,58.0,585.0,850,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,24,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,13231.0,20228.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,412852.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +406,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-06-02 15:27:38.000000,2021-06-02 15:27:13.000000,88,6.0,86.0,840,553.0,"Extensible, parallel implementations of t-SNE.",10.0,24,True,2021-04-25 19:32:11.000000,0.6.0,21.0,opentsne,conda-forge/opentsne,,,,224.0,220.0,https://pypi.org/project/opentsne,2021-04-25 19:24:59.000000,4.0,25779.0,29113.0,https://anaconda.org/conda-forge/opentsne,2021-05-28 14:28:32.305000,100025.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +407,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,196,52.0,584.0,838,2079.0,"pyclustring is a Python, C++ data mining library.",26.0,24,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,237.0,201.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,49857.0,51087.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,22059.0,,,,,2.0,333.0,,,,,,,,,,,,,,,,,,,,, +408,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-06-02 00:24:24.000000,2021-06-02 00:24:23.000000,212,59.0,218.0,809,,"OpenCL integration for Python, plus shiny features.",86.0,24,True,2021-05-17 23:13:34.000000,2021.2.1,64.0,pyopencl,conda-forge/pyopencl,,,,756.0,518.0,https://pypi.org/project/pyopencl,2021-05-21 21:17:45.000000,238.0,14633.0,22163.0,https://anaconda.org/conda-forge/pyopencl,2021-05-22 23:27:14.435000,421715.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +409,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 13:22:39.000000,254,27.0,26.0,788,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,24,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,854.0,632.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,44595.0,44882.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,11482.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +410,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-04-02 00:26:48.000000,2021-04-02 00:26:45.000000,241,25.0,156.0,783,408.0,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,,,,,113.0,113.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,5805.0,5805.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +411,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 15:16:04.000000,223,100.0,186.0,734,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,232.0,196.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,10812.0,10812.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +412,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 15:56:06.000000,2021-06-01 22:14:49.000000,2021-05-23 16:30:58.000000,197,200.0,222.0,721,,Scalable Machine Learning with Dask.,65.0,24,True,2021-05-03 13:02:34.000000,1.9.0,28.0,dask-ml,conda-forge/dask-ml,,,,446.0,404.0,https://pypi.org/project/dask-ml,2021-05-03 13:02:34.000000,42.0,52380.0,57250.0,https://anaconda.org/conda-forge/dask-ml,2021-05-03 15:21:05.642000,214321.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +413,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-03-14 19:37:51.465000,2021-03-14 16:01:01.000000,88,19.0,38.0,572,227.0,python partial dependence plot toolbox.,7.0,24,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,425.0,391.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,67892.0,68220.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,7555.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +414,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-05-31 20:44:22.000000,2021-05-27 11:10:23.000000,148,39.0,191.0,472,961.0,"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.",26.0,24,True,2021-04-21 13:22:20.000000,1.3.13,31.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2021-04-21 13:31:22.000000,44.0,20702.0,21867.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,64117.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +415,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-06-03 10:50:25.000000,2021-06-02 13:27:28.000000,164,135.0,287.0,463,1452.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",73.0,24,True,2021-05-14 06:06:47.000000,0.18.0,23.0,tensorflow-io,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-io,2021-05-14 05:59:55.000000,0.0,152245.0,152245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +416,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,69,11.0,8.0,400,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1945.0,1743.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1304837.0,1314001.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,549899.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +417,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 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,155,33.0,22.0,371,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3184.0,2788.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,103830.0,103830.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +418,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-06-01 10:07:28.000000,2021-05-23 02:19:58.000000,67,3.0,44.0,351,1177.0,A Comparative Framework for Multimodal Recommender Systems.,12.0,24,True,2021-03-30 03:20:12.000000,1.12.0,37.0,cornac,conda-forge/cornac,,,,49.0,47.0,https://pypi.org/project/cornac,2021-03-30 03:23:59.000000,2.0,2566.0,8332.0,https://anaconda.org/conda-forge/cornac,2021-03-30 16:45:43.648000,144155.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +419,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 21:02:09.000000,2021-05-28 14:57:50.000000,2021-05-27 21:44:47.000000,69,19.0,45.0,331,513.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,13.0,24,True,2021-05-21 02:42:33.000000,1.0.0,27.0,ml-metadata,,,,,121.0,121.0,https://pypi.org/project/ml-metadata,2021-05-21 02:42:33.000000,0.0,311777.0,311824.0,,,,,,,,3.0,1270.0,,,,,,,,,,,,,,,,,,,,, +420,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-06-03 13:52:45.000000,2021-06-03 13:52:37.000000,73,706.0,2349.0,247,13945.0,"Keep code, data, containers under control with git and git-annex.",38.0,24,True,2021-05-10 13:39:30.000000,0.14.4,68.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-05-10 13:36:40.000000,26.0,4067.0,7335.0,https://anaconda.org/conda-forge/datalad,2021-05-11 19:33:29.602000,127469.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +421,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2021-06-01 12:40:01.000000,2021-03-22 13:33:48.000000,42,1.0,177.0,208,,Python library for reading and writing tabular data via streams.,27.0,24,True,2021-03-21 07:47:00.000000,1.53.5,141.0,tabulator,conda-forge/tabulator-py,,,,658.0,554.0,https://pypi.org/project/tabulator,2021-03-21 07:47:00.000000,104.0,222503.0,223375.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,41899.0,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,,,, +422,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-05-19 20:08:31.000000,2021-05-19 18:52:38.000000,41,44.0,118.0,191,2859.0,Asynchronous Distributed Hyperparameter Optimization.,23.0,24,True,2021-05-19 20:08:31.000000,0.1.15,16.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-05-19 20:08:31.000000,8.0,2585.0,2585.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +423,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-06-03 12:40:16.000000,2021-06-02 19:02:53.000000,571,131.0,887.0,7502,2115.0,Serverless containers on AWS.,21.0,23,True,2021-05-11 21:36:23.000000,0.35.0,54.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-05-11 21:29:43.000000,0.0,1384.0,1384.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +424,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 02:39:03.000000,1276,36.0,65.0,5434,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,675.0,599.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,6767.0,6767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +425,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-05-26 05:46:53.000000,2021-05-26 05:46:53.000000,727,467.0,373.0,5392,843.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,82.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],573.0,573.0,,,,,2397.0,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,47944.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +426,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 02:32:30.000000,944,311.0,287.0,5348,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,23,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,60.0,57.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,1101.0,1179.0,,,,,,,,2.0,3369.0,,,,,,,,,,,,,,,,,,,,, +427,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 18:27:54.000000,848,87.0,306.0,3854,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,23,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,47.0,46.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,187.0,191.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,,,, +428,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-05-27 22:42:51.000000,2021-05-27 22:41:56.000000,1352,47.0,21.0,3626,175.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,23,True,2021-05-27 22:28:29.000000,0.1.2,12.0,deepmatcher,,,,,12.0,12.0,https://pypi.org/project/deepmatcher,2021-05-27 22:42:41.000000,,866.0,866.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +429,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 17:38:16.000000,879,28.0,428.0,3434,1810.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,23,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,,219.0,219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +430,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-04-19 00:39:07.000000,2018-08-21 02:42:52.000000,1209,45.0,82.0,3346,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,95.0,74.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,748.0,748.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +431,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-05-21 06:09:27.000000,2021-05-21 06:09:22.000000,740,18.0,154.0,3245,897.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",52.0,23,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,,18.0,17.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,1061.0,1061.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +432,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 09:51:20.000000,764,175.0,246.0,3223,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,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 11:36:02.000000,24.0,19015.0,19015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +433,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,315,68.0,275.0,3053,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,20.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,20.0,28982.0,28982.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +434,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,257,40.0,30.0,2923,195.0,Python library that makes it easy for data scientists to create charts.,21.0,23,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,58.0,53.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,2064.0,2514.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,13956.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +435,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 13:41:13.000000,2021-06-02 09:48:09.000000,2021-06-02 09:45:13.000000,535,72.0,105.0,2817,150.0,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'],58.0,50.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,5399.0,5403.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,148.0,3.0,,,,,,,,,,,,,,,,,,,,,, +436,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 02:27:30.000000,2021-06-03 15:16:29.000000,2021-06-03 15:16:29.000000,666,526.0,646.0,2311,2989.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",97.0,23,True,2021-05-25 05:58:11.000000,0.10.0,78.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-06-03 03:14:11.000000,,1679.0,1679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +437,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-02-24 08:54:06.000000,2021-02-24 08:54:03.000000,401,48.0,223.0,2295,115.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,368.0,350.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,13859.0,14376.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,8216.0,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,,, +438,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-04-16 20:56:46.000000,2021-04-16 01:50:53.000000,462,86.0,438.0,2294,1077.0,Arctic is a high performance datastore for numeric data.,71.0,23,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,162.0,120.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,3793.0,4342.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,13724.0,,,,,3.0,121.0,,,,,,,,,,,,,,,,,,,,, +439,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 14:40:43.000000,2021-06-03 15:09:01.000000,2021-06-02 13:03:49.000000,628,80.0,455.0,2266,,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",67.0,23,True,2021-05-20 22:47:40.000000,1.6.2,31.0,adversarial-robustness-toolbox,,,,,122.0,122.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-05-20 22:05:47.000000,0.0,5512.0,5512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +440,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-06-01 13:37:08.000000,2021-05-29 13:36:58.000000,530,21.0,80.0,2261,270.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",10.0,23,True,2021-03-27 15:31:11.000000,0.6.3,20.0,scikit-opt,,,,['sklearn'],37.0,34.0,https://pypi.org/project/scikit-opt,2021-03-27 15:27:39.000000,3.0,1186.0,1186.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +441,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-05-18 18:41:19.000000,2021-05-18 18:41:19.000000,128,24.0,88.0,2222,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-03-07 08:16:51.000000,0.2.10,40.0,pandasgui,,,,['pandas'],75.0,73.0,https://pypi.org/project/pandasgui,2021-03-07 08:16:51.000000,2.0,6440.0,6440.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +442,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,627,135.0,356.0,2195,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,145.0,23,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 16:46:28.000000,2.0,3264.0,3264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +443,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-04-22 01:57:46.000000,2021-04-12 13:45:28.000000,368,19.0,133.0,2168,1742.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,50.0,23,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,33.0,32.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1032.0,1033.0,,,,,,,,3.0,58.0,,,,,,,,,,,,,,,,,,,,, +444,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-05-25 17:36:24.000000,2021-05-24 23:21:34.000000,381,29.0,207.0,2143,392.0,Learning to Rank in TensorFlow.,20.0,23,True,2021-05-25 17:36:24.000000,0.4.0,16.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-05-25 15:34:56.000000,2.0,88276.0,88276.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +445,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 17:17:29.000000,2021-06-03 14:50:57.000000,2021-06-03 12:28:52.000000,401,208.0,389.0,1917,733.0,Probabilistic time series modeling in Python.,73.0,23,True,2021-06-03 14:49:40.000000,0.7.5,38.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-06-03 14:50:57.000000,0.0,43693.0,43693.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +446,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 15:30:13.000000,211,79.0,65.0,1875,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,215.0,185.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,56188.0,56188.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +447,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-05-10 11:18:09.000000,2020-06-02 14:50:14.000000,67,12.0,54.0,1602,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,461.0,411.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,32265.0,32265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +448,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 05:46:52.000000,2021-06-03 12:17:47.000000,2020-08-19 14:58:00.000000,200,37.0,20.0,1580,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],251.0,223.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,5674.0,5926.0,https://anaconda.org/conda-forge/multicore-tsne,2021-04-23 10:26:30.160000,7833.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +449,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-06-02 15:56:21.000000,2021-06-02 15:56:21.000000,300,17.0,52.0,1547,,Python implementation of TextRank for phrase extraction and summarization of text documents.,14.0,23,True,2021-03-25 19:46:28.000000,3.1.1,15.0,pytextrank,,,,,173.0,161.0,https://pypi.org/project/pytextrank,2021-03-25 19:46:28.000000,12.0,11763.0,11763.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +450,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-05-25 16:56:00.000000,2021-05-25 16:49:48.000000,167,24.0,180.0,1518,947.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,23,True,2021-05-25 16:57:42.000000,1.4.0,12.0,ampligraph,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000000,,1259.0,1259.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +451,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 13:53:52.000000,2021-05-28 23:10:11.000000,2021-05-28 23:05:50.000000,192,47.0,40.0,1453,724.0,"Large-scale linear classification, regression and ranking in Python.",17.0,23,True,2020-12-16 17:26:49.000000,0.6.0,8.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],93.0,83.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:26:49.000000,10.0,480.0,2924.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,144207.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +452,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1431,1059.0,"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,,,,,100.0,48.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,3951.0,3951.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +453,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-06-02 20:52:02.000000,2021-06-02 20:52:00.000000,303,56.0,80.0,1415,465.0,Library for training machine learning models with privacy for training data.,37.0,23,True,2021-06-02 20:46:09.000000,0.6.0,11.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2021-06-02 20:46:09.000000,2.0,12049.0,12050.0,,,,,,,,2.0,43.0,2.0,,,,,,,,,,,,,,,,,,,, +454,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-04-13 10:29:29.000000,2021-03-19 14:47:19.000000,153,28.0,77.0,1345,342.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,23,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,,,['pytorch'],43.0,43.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,882.0,882.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +455,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-05-14 12:27:57.000000,2021-05-14 12:20:22.000000,168,42.0,332.0,1308,912.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,9.0,23,True,2021-05-14 12:27:57.000000,0.10.4,71.0,mljar-supervised,,,,,10.0,10.0,https://pypi.org/project/mljar-supervised,2021-05-14 12:27:57.000000,,5220.0,5220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +456,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 11:33:34.000000,2021-06-02 01:17:23.000000,2021-06-01 17:10:54.000000,200,63.0,185.0,1278,1670.0,Pytorch framework for doing deep learning on point clouds.,25.0,23,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,,639.0,639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +457,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 00:55:39.000000,71,14.0,36.0,1223,235.0,Concurrent data pipelines in Python .,10.0,23,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,22636.0,22636.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +458,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 08:29:47.000000,2021-05-23 21:08:50.000000,2021-04-26 08:27:27.000000,216,52.0,110.0,1143,266.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],163.0,145.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,6868.0,6868.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +459,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,410,13.0,265.0,1084,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,23,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,62.0,62.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,13358.0,13358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +460,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-06-03 14:28:13.000000,2021-06-01 21:31:58.000000,81,41.0,140.0,1077,465.0,PyTorch extensions for high performance and large scale training.,33.0,23,True,2021-05-18 02:29:18.000000,0.3.7,19.0,fairscale,,,,['pytorch'],25.0,25.0,https://pypi.org/project/fairscale,2021-05-18 00:45:15.000000,0.0,9428.0,9428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +461,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-06-03 13:07:24.000000,2021-06-03 13:07:24.000000,205,34.0,109.0,1025,,TensorLy: Tensor Learning in Python.,44.0,23,True,2021-04-15 15:01:47.000000,0.5.1,17.0,tensorly,conda-forge/tensorly,,,,172.0,152.0,https://pypi.org/project/tensorly,2021-04-14 11:18:01.000000,20.0,5871.0,9656.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,140065.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +462,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-06-03 13:47:25.000000,2021-06-03 13:47:22.000000,193,139.0,170.0,1013,3530.0,"Agile Data Preparation Workflows madeeasy with pandas, dask, cudf, dask_cudf and pyspark.",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],14.0,14.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,6963.0,6963.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +463,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-05-19 15:55:36.000000,2021-05-18 09:17:25.000000,126,82.0,95.0,1007,270.0,Algorithms for monitoring and explaining machine learning models.,13.0,23,True,2021-04-29 14:20:00.000000,0.5.8,18.0,alibi,,,,,104.0,86.0,https://pypi.org/project/alibi,2021-04-29 14:19:18.000000,18.0,10886.0,10886.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +464,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 15:40:30.000000,142,44.0,23.0,990,127.0,sqldf for pandas.,15.0,23,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],875.0,777.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,390775.0,390775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +465,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-04-17 06:02:31.000000,2021-04-17 06:02:30.000000,207,75.0,146.0,957,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,113.0,99.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,734.0,734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +466,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-05-24 21:00:40.000000,2021-05-24 21:00:31.000000,187,3.0,145.0,953,530.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",15.0,23,True,2021-04-07 08:44:37.000000,1.3.1,14.0,ogb,,,,,103.0,103.0,https://pypi.org/project/ogb,2021-04-07 08:44:37.000000,0.0,7037.0,7037.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +467,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-05-02 00:52:25.000000,2021-04-30 05:11:38.000000,178,3.0,77.0,881,361.0,Layers Outputs and Gradients in Keras. Made easy.,15.0,23,True,2021-01-22 09:01:30.000000,4.4.0,37.0,keract,,,,['tensorflow'],90.0,85.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,1532.0,1532.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +468,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-06-02 12:55:44.000000,2021-06-02 12:52:32.000000,123,14.0,68.0,821,252.0,Training PyTorch models with differential privacy.,30.0,23,True,2021-03-10 19:25:01.000000,0.13.0,8.0,opacus,,,,['pytorch'],33.0,33.0,https://pypi.org/project/opacus,2021-03-10 19:25:01.000000,0.0,8815.0,8817.0,,,,,,,,2.0,34.0,,,,,,,,,,,,,,,,,,,,, +469,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 21:48:16.000000,2021-06-03 02:26:05.000000,2021-06-03 02:26:00.000000,146,5.0,41.0,820,443.0,Training neural models with structured signals.,27.0,23,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],70.0,70.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,8594.0,8594.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +470,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-06-03 04:04:38.000000,2021-06-02 23:52:53.000000,60,20.0,124.0,739,1089.0,Statistical package in Python based on Pandas.,19.0,23,False,2021-05-27 22:16:23.000000,0.3.12,33.0,pingouin,conda-forge/pingouin,,,,235.0,225.0,https://pypi.org/project/pingouin,2021-05-27 22:10:24.000000,10.0,30387.0,31643.0,https://anaconda.org/conda-forge/pingouin,2021-05-28 00:27:57.122000,37684.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +471,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 09:00:15.000000,83,11.0,14.0,725,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1313.0,1211.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,163141.0,163141.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +472,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-04-16 07:45:36.000000,2021-04-16 07:42:56.000000,175,3.0,59.0,711,56.0,Implementation of the node2vec algorithm.,8.0,23,True,2021-04-16 07:45:36.000000,0.4.3,14.0,node2vec,conda-forge/node2vec,,,,153.0,143.0,https://pypi.org/project/node2vec,2021-04-02 06:33:26.000000,10.0,17417.0,17891.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,17569.0,,,,,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 20:49:14.000000,2021-05-10 08:15:20.000000,2021-05-10 08:14:09.000000,83,21.0,60.0,686,289.0,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'],194.0,184.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,7153.0,7153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +474,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 11:29:06.000000,121,66.0,92.0,659,487.0,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'],468.0,446.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,90006.0,90006.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +475,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-06-01 18:43:10.000000,2021-05-30 08:56:40.000000,183,11.0,261.0,611,,Search and download Copernicus Sentinel satellite images.,37.0,23,False,2021-05-25 11:28:50.000000,1.0.1,38.0,sentinelsat,,,,,240.0,196.0,https://pypi.org/project/sentinelsat,2021-05-25 11:28:50.000000,44.0,20060.0,20063.0,,,,,,,,3.0,202.0,2.0,,,,,,,,,,,,,,,,,,,, +476,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-06-01 17:29:33.000000,2021-05-21 20:36:33.000000,278,169.0,2792.0,576,15313.0,An open-source application for biological image analysis.,119.0,23,True,2021-02-16 21:59:54.000000,4.1.3,41.0,cellprofiler,,,,,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,513.0,524.0,,,,,,,,3.0,999.0,,,,,,,,,,,,,,,,,,,,, +477,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-05-28 10:20:52.000000,2021-05-22 19:43:38.000000,113,24.0,85.0,425,387.0,Ternary plotting library for python with matplotlib.,26.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,86.0,66.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,4555.0,5427.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,54117.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,, +478,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-04-13 11:40:25.000000,2021-04-13 11:40:25.000000,64,79.0,180.0,346,656.0,"Simple, concise geographical visualization in Python.",23.0,23,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,6670.0,8448.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,69375.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +479,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 16:40:18.000000,32,8.0,48.0,320,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,161.0,157.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,23069.0,23069.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +480,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,235,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,78.0,64.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,13367.0,13367.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +481,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-06-03 15:07:10.000000,2021-06-02 21:46:56.000000,1729,136.0,450.0,10112,6334.0,Best Practices on Recommendation Systems.,93.0,22,True,2021-04-30 09:22:21.000000,0.5.0,7.0,,,,,,2.0,2.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +482,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-06-03 15:02:02.000000,2021-06-03 15:02:01.000000,516,623.0,3122.0,3975,,cuDF - GPU DataFrame Library.,213.0,22,True,2021-04-28 18:30:45.000000,0.19.2,11.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,1136.0,1136.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +483,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,509,65.0,47.0,3277,439.0,Fast and flexible AutoML with learning guarantees.,26.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],41.0,39.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1281.0,1281.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +484,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 19:46:05.000000,328,50.0,15.0,3107,112.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,57.0,51.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,3575.0,3575.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +485,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-03-05 12:19:13.000000,2020-12-08 16:56:38.000000,1049,462.0,1077.0,2827,16205.0,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,,,,,,,,,2145.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,100298.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1457.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,, +486,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 20:00:52.000000,2021-04-20 23:55:42.000000,2021-02-14 19:39:38.000000,544,144.0,93.0,2683,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,22,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,10845.0,10853.0,,,,,,,,3.0,222.0,,,,,,,,,,,,,,,,,,,,, +487,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-06-02 05:40:52.000000,2021-06-02 05:40:45.000000,291,118.0,84.0,2464,662.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,33.0,22,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],4.0,1.0,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,3895.0,3895.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +488,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-06-03 00:12:12.000000,2021-06-03 00:12:12.000000,356,11.0,303.0,2452,479.0,On-device wake word detection powered by deep learning.,27.0,22,True,2021-04-14 16:39:57.000000,1.9.5,19.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-04-14 16:39:57.000000,0.0,877.0,877.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +489,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2021-05-21 16:21:18.000000,2020-01-07 20:53:25.000000,403,50.0,127.0,2373,838.0,Deep Learning toolkit for Computer Vision.,15.0,22,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],32.0,30.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,888.0,1148.0,,,,,,,,3.0,11481.0,,,,,,,,,,,,,,,,,,,,, +490,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-06-03 06:04:31.000000,2021-06-03 05:23:33.000000,504,202.0,235.0,2339,840.0,Microsoft Machine Learning for Apache Spark.,67.0,22,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,33320.0,33320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +491,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,356,33.0,126.0,2167,1719.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",41.0,22,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],17.0,15.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,235.0,235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +492,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-05-20 19:28:15.000000,2020-03-16 04:26:47.000000,168,13.0,21.0,2132,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,176.0,173.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,3378.0,3709.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,6635.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +493,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-06-02 21:51:49.000000,2021-06-02 21:48:57.000000,153,36.0,45.0,1813,274.0,"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,,,,,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,25525.0,25525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +494,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-06-03 00:30:42.000000,2021-04-25 17:12:04.000000,128,4.0,146.0,1792,649.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,6.0,22,True,2021-04-25 18:49:14.000000,idgear-0.2.1,13.0,vidgear,,,,,110.0,108.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,2189.0,2201.0,,,,,,,,3.0,347.0,,,,,,,,,,,,,,,,,,,,, +495,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 16:48:48.000000,2021-05-13 23:26:06.000000,2021-05-13 23:25:59.000000,156,28.0,60.0,1440,376.0,Fast and Easy Infinite Neural Networks in Python.,18.0,22,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,18.0,18.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,485.0,494.0,,,,,,,,3.0,114.0,,,,,,,,,,,,,,,,,,,,, +496,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 20:19:46.000000,101,28.0,50.0,1440,350.0,"A fast, efficient universal vector embedding utility package.",4.0,22,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,205.0,191.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,7617.0,7617.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +497,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-06-01 21:53:57.000000,2021-04-01 12:34:50.000000,362,36.0,71.0,1409,298.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,22,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],31.0,26.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,7250.0,7250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +498,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 09:49:50.000000,232,41.0,351.0,1407,559.0,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",19.0,22,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],123.0,117.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,2225.0,2225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +499,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-05-28 17:07:58.000000,2021-05-24 20:21:51.000000,129,8.0,68.0,1374,227.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,22,True,2021-05-24 16:45:59.000000,0.0.11,10.0,checklist,,,,['jupyter'],11.0,9.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000000,2.0,2273.0,2273.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,, +500,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 19:35:56.000000,2021-04-16 18:42:01.000000,2020-11-30 05:49:27.000000,175,,48.0,1329,106.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,22,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],56.0,56.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,4177.0,4177.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +501,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 19:54:51.000000,385,102.0,224.0,1283,2848.0,[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'],36.0,35.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,215.0,215.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +502,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-05-19 21:53:35.000000,2021-05-19 21:42:25.000000,149,,55.0,1261,2126.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,12.0,22,False,2021-05-19 21:53:35.000000,_10100,98.0,karateclub,,,,,41.0,41.0,https://pypi.org/project/karateclub,2021-05-19 21:50:32.000000,0.0,4951.0,4951.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +503,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-05-21 15:42:44.000000,2020-08-25 09:26:27.000000,253,15.0,73.0,1224,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,25.0,25.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,1948.0,1948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +504,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-06-03 14:08:34.000000,2021-06-03 12:59:07.000000,181,42.0,340.0,1204,568.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,32.0,22,True,2021-03-31 14:33:39.000000,0.7.1,23.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-02-22 17:30:04.000000,2.0,7915.0,7915.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +505,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-05-15 16:10:31.000000,2021-05-15 16:10:27.000000,362,10.0,63.0,1071,384.0,Common financial technical indicators implemented in Pandas.,24.0,22,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,79.0,75.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,6737.0,6737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +506,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-04-19 22:02:42.000000,2021-04-19 22:02:36.000000,133,31.0,159.0,926,,A full spaCy pipeline and models for scientific/biomedical documents.,20.0,22,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,276.0,264.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,16498.0,16498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +507,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-05-17 07:54:32.000000,2021-05-17 07:50:23.000000,273,6.0,70.0,849,450.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,22.0,22,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,,176.0,168.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,5312.0,5312.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +508,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2021-05-02 10:43:29.000000,2021-05-02 10:43:29.000000,172,26.0,21.0,846,307.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,17.0,16.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,1384.0,1384.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +509,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 02:02:07.000000,2021-03-30 14:24:47.000000,2021-03-30 14:24:27.000000,160,42.0,165.0,832,1029.0,Python interface to GPU-powered libraries.,44.0,22,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,200.0,130.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,997.0,997.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +510,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-04-19 12:18:12.000000,2021-04-19 12:18:11.000000,77,33.0,47.0,821,198.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,14.0,22,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],79.0,77.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1391.0,1391.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +511,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,216,30.0,31.0,789,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,22,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,307.0,259.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,34558.0,34558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +512,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2021-05-06 10:13:17.000000,2019-12-19 14:46:37.000000,125,54.0,180.0,744,1722.0,Python audio and music signal processing library.,19.0,22,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,163.0,129.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,3668.0,3668.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +513,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 06:22:45.000000,143,66.0,135.0,713,1380.0,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 08:49:39.000000,74.0,8868.0,15287.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,227105.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1785.0,,,,,,,,,,,,,, +514,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-05-27 11:12:42.000000,2021-05-27 11:07:29.000000,163,13.0,138.0,713,,ARCH models in Python.,26.0,22,False,2021-03-16 08:28:41.000000,4.19,32.0,arch,,,,,346.0,304.0,https://pypi.org/project/arch,2021-03-16 08:30:20.000000,42.0,53299.0,53299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +515,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-03-18 20:44:32.000000,2019-09-02 19:02:38.000000,149,26.0,232.0,682,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,22,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,122.0,111.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,1858.0,1858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +516,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-05-30 09:05:21.000000,2021-05-30 09:05:18.000000,77,69.0,128.0,672,829.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,22,True,2021-03-03 06:21:28.000000,2.0.6,26.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-03-03 06:21:28.000000,32.0,26355.0,26355.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +517,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 18:33:06.000000,132,24.0,4.0,662,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,22,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],158.0,140.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,171064.0,171064.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +518,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-04-15 19:05:12.000000,2021-01-11 21:14:58.000000,120,30.0,66.0,641,179.0,"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'],126.0,120.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,11169.0,11169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +519,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-06-02 19:26:43.000000,2021-06-02 17:48:58.000000,23,72.0,98.0,624,1978.0,An open-source plotting library for statistical data.,15.0,22,True,2021-06-02 19:48:08.000000,2.0.3,35.0,lets-plot,,,,,10.0,10.0,https://pypi.org/project/lets-plot,2021-06-02 19:26:43.000000,0.0,4309.0,4312.0,,,,,,,,3.0,67.0,2.0,,,,,,,,,,,,,,,,,,,, +520,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-05-07 19:01:23.000000,2021-05-07 19:01:13.000000,43,103.0,168.0,593,4531.0,"Experiment tracking, ML developer tools.",16.0,22,True,2021-03-25 22:43:31.000000,0.7.3,170.0,guildai,,,,,30.0,30.0,https://pypi.org/project/guildai,2021-04-12 20:27:53.000000,,2171.0,2171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +521,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-05-31 23:04:25.000000,2021-04-19 05:00:36.000000,121,35.0,67.0,568,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,22,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],121.0,103.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,4710.0,4710.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +522,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-05-19 14:39:13.000000,2021-05-19 14:39:03.000000,66,5.0,91.0,541,1194.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,10.0,22,True,2021-05-07 11:11:58.000000,0.3.5,75.0,explainerdashboard,,,,,24.0,24.0,https://pypi.org/project/explainerdashboard,2021-05-07 11:11:58.000000,,3978.0,3978.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +523,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-05-27 15:07:46.000000,2021-05-23 16:32:48.000000,82,16.0,66.0,460,321.0,"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.",20.0,22,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,465.0,369.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,6213.0,6213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +524,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 21:50:02.000000,96,4.0,27.0,444,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],74.0,70.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,16212.0,16212.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +525,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-06-01 14:39:36.000000,2021-06-01 14:39:35.000000,78,92.0,181.0,428,843.0,"Synthetic Data Generation for tabular, relational and time series data.",35.0,22,True,2021-05-21 21:23:11.000000,0.10.0,49.0,sdv,,,,,25.0,25.0,https://pypi.org/project/sdv,2021-05-21 21:21:44.000000,0.0,4268.0,4268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +526,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-05-12 12:25:33.000000,2021-05-12 12:25:30.000000,55,48.0,64.0,413,537.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,15.0,22,True,2021-03-03 15:26:45.000000,0.6.9,21.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,34.0,15428.0,15428.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +527,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-05-12 12:25:43.000000,2021-05-12 12:25:40.000000,74,40.0,41.0,382,523.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,22,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 12:28:43.000000,32.0,11492.0,11492.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +528,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-05-14 13:54:38.000000,2021-04-10 02:37:59.000000,84,18.0,30.0,380,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,12.0,22,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],91.0,91.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,6810.0,6810.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +529,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-03-31 18:37:21.000000,2019-11-13 07:35:33.000000,101,34.0,55.0,367,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,22,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,431.0,199.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,232.0,8050.0,8050.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +530,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-03-19 19:33:38.000000,2021-02-24 09:49:23.000000,26,78.0,146.0,323,392.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,209.0,187.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,9942.0,10352.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,9040.0,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,,,, +531,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 17:10:59.000000,58,13.0,19.0,318,283.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,22,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],197.0,135.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,2108.0,2108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +532,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-06-02 21:19:58.000000,2021-06-02 21:19:52.000000,44,9.0,79.0,307,506.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,28708.0,35759.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,423064.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +533,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-03-30 10:02:24.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,297,6427.0,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 14:14:08.000000,82.0,1322.0,3039.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,80723.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +534,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-04-26 17:46:21.000000,2021-04-26 17:45:53.000000,12,10.0,42.0,240,2171.0,Tools for test driven data-wrangling and data validation.,6.0,22,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,38.0,36.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,9919.0,9919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +535,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,1.0,10.0,178,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,False,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,300.0,280.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,86894.0,87930.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,17614.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +536,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 21:04:09.000000,23,3.0,9.0,128,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1476.0,1218.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,93592.0,93592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +537,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,88,267.0,"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.",4.0,22,False,2020-10-10 13:13:32.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1524.0,1214.0,https://pypi.org/project/pyexcel-xlsx,2020-10-10 13:13:32.000000,310.0,81825.0,82200.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,16514.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,, +538,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-06-03 10:18:34.000000,2021-06-03 10:18:34.000000,18,13.0,129.0,87,,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",8.0,22,False,2021-06-03 10:17:59.000000,3.2.0,64.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-06-03 10:17:59.000000,342.0,1351542.0,1371628.0,https://anaconda.org/conda-forge/pystan,2021-05-12 13:39:30.313000,1024417.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +539,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-06-03 07:55:11.000000,2021-06-03 07:55:11.000000,814,110.0,148.0,5039,,"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..",43.0,21,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],3.0,3.0,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,3407.0,3432.0,,,,,,,,3.0,229.0,,,,,,,,,,,,,,,,,,,,, +540,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-06-01 14:33:40.000000,2021-06-01 14:33:00.000000,539,46.0,64.0,4506,,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",8.0,21,True,2021-06-01 14:33:40.000000,0.19.3,80.0,vit-pytorch,,,,['pytorch'],19.0,19.0,https://pypi.org/project/vit-pytorch,2021-06-01 14:33:40.000000,,3581.0,3581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +541,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-06-03 06:51:02.000000,2021-06-03 06:46:37.000000,684,144.0,382.0,4424,884.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,65.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +542,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-06-03 08:22:43.000000,2021-06-03 06:32:07.000000,768,41.0,602.0,4396,3181.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,61.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,39.0,,,,,,,,3.0,1350.0,,,,,,,,,,,,,,,,,,,,, +543,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,300,20.0,57.0,3612,460.0,Finding duplicate images made easy!.,9.0,21,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,4795.0,4795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +544,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3064,116.0,TensorFlow Reinforcement Learning.,12.0,21,False,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],50.0,48.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,1592.0,1592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +545,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-06-02 22:58:26.000000,2021-05-19 02:30:21.000000,176,53.0,160.0,2426,,Hummingbird compiles trained ML models into tensor computation for faster inference.,20.0,21,True,2021-04-24 17:19:04.000000,0.3.1,12.0,hummingbird-ml,,,,,15.0,15.0,https://pypi.org/project/hummingbird-ml,2021-04-13 00:20:31.000000,,2499.0,2508.0,,,,,,,,3.0,117.0,,,,,,,,,,,,,,,,,,,,, +546,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-06-03 13:05:58.000000,2021-06-02 09:19:27.000000,250,122.0,690.0,2128,800.0,"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..",20.0,21,True,2021-04-11 08:20:27.000000,0.6.8,81.0,pymars,,,,,5.0,5.0,https://pypi.org/project/pymars,2021-04-11 08:41:06.000000,0.0,527.0,527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +547,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-06-03 10:52:04.000000,2021-06-03 09:26:24.000000,494,56.0,175.0,2018,1.0,A high-performance distributed training framework for Reinforcement Learning.,25.0,21,True,2021-06-03 09:31:59.000000,2.0.0,20.0,parl,,,,['paddle'],72.0,72.0,https://pypi.org/project/parl,2021-06-03 09:27:53.000000,,584.0,584.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +548,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,GPL-3.0,2018-05-11 01:55:21.000000,2021-05-05 17:40:49.000000,2021-05-05 17:40:45.000000,187,19.0,42.0,1958,791.0,The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and..,6.0,21,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,,15.0,15.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,5029.0,5029.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +549,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-06-03 08:09:13.000000,2021-06-03 03:13:55.000000,169,26.0,210.0,1797,,"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..",22.0,21,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,40373.0,41258.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,22128.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +550,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-05-28 14:19:52.000000,2021-05-28 12:53:42.000000,167,22.0,59.0,1596,101.0,"Visualize and compare datasets, target values and associations, with one line of code.",6.0,21,True,2021-05-28 14:19:52.000000,2.1.2,30.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-05-27 19:27:40.000000,0.0,30323.0,30323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +551,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 22:26:45.000000,119,16.0,18.0,1515,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,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 22:28:23.000000,1.0,531.0,531.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +552,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-03-02 09:56:03.000000,2021-03-02 09:56:03.000000,84,34.0,48.0,1144,29.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,8.0,21,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],56.0,56.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,26283.0,26283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +553,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-05-11 18:43:42.000000,2021-05-11 18:43:42.000000,121,35.0,44.0,1136,117.0,A Python library that helps data scientists to infer causation rather than observing correlation.,18.0,21,True,2021-05-11 18:35:56.000000,0.10.0,15.0,causalnex,,,,"['pytorch', 'sklearn']",13.0,13.0,https://pypi.org/project/causalnex,2021-05-11 18:35:56.000000,,2873.0,2873.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +554,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-06-03 14:12:57.000000,2021-06-03 13:40:15.000000,78,20.0,68.0,1127,553.0,JAX-based neural network library.,41.0,21,True,2021-04-12 13:12:13.000000,0.0.4,6.0,,,,,,98.0,98.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +555,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-05-27 13:41:59.000000,2021-05-27 09:32:27.000000,201,35.0,123.0,1032,168.0,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 08:05:11.000000,0.0,11308.0,11308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +556,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-05-14 08:00:21.000000,2021-05-14 08:00:21.000000,160,28.0,98.0,1020,2992.0,"A unified, comprehensive and efficient recommendation library.",40.0,21,True,2021-04-06 09:53:37.000000,0.2.1,5.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,689.0,751.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,438.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +557,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 07:46:55.000000,188,31.0,12.0,931,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,67.0,39.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,40855.0,40855.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +558,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,155,30.0,18.0,915,159.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,113.0,102.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,1831.0,1831.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +559,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-06-03 15:05:22.000000,2021-05-22 11:02:38.000000,118,21.0,72.0,889,369.0,A python library for easy manipulation and forecasting of time series.,29.0,21,True,2021-05-22 11:18:25.000000,0.8.1,13.0,u8darts,,unit8/darts,,,5.0,5.0,https://pypi.org/project/u8darts,2021-05-22 11:18:25.000000,0.0,1530.0,1533.0,,,,https://hub.docker.com/r/unit8/darts,2021-05-22 11:13:37.525957,,129.0,3.0,,,,,,,,,,,,,,,,,,,,,, +560,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 16:56:56.000000,144,168.0,232.0,878,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],68.0,52.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,478.0,478.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +561,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-06-02 15:27:16.000000,2021-05-24 22:06:11.000000,108,68.0,71.0,861,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,22.0,21,True,2021-05-17 16:37:44.000000,0.5.1,10.0,tensorflow-recommenders,,,,['tensorflow'],23.0,23.0,https://pypi.org/project/tensorflow-recommenders,2021-05-17 16:37:44.000000,,34048.0,34048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +562,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2021-05-12 12:32:06.000000,2020-10-16 15:26:56.000000,181,73.0,138.0,823,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],59.0,58.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,508.0,508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +563,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-05-22 20:26:25.000000,2021-05-22 20:26:09.000000,136,160.0,149.0,752,738.0,"A common, beautiful interface to tabular data, no matter the format.",30.0,21,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,174.0,122.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,52.0,2748.0,2748.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,, +564,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-03-25 21:02:49.000000,2021-03-25 21:02:44.000000,129,8.0,80.0,739,190.0,kapre: Keras Audio Preprocessors.,13.0,21,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,,,['tensorflow'],834.0,812.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,1977.0,1977.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,,, +565,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-06-03 15:11:23.000000,2021-05-21 10:47:26.000000,71,58.0,69.0,704,352.0,"Algorithms for outlier, adversarial and drift detection.",8.0,21,True,2021-05-06 12:39:19.000000,0.6.2,14.0,alibi-detect,,,,,24.0,23.0,https://pypi.org/project/alibi-detect,2021-05-06 12:37:36.000000,1.0,6719.0,6719.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +566,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-06-03 00:42:31.000000,2021-06-02 13:08:56.000000,200,311.0,360.0,703,,Python package for earth-observing satellite data processing.,108.0,21,False,2021-05-19 00:32:06.000000,0.28.1,67.0,satpy,conda-forge/satpy,,,,48.0,42.0,https://pypi.org/project/satpy,2021-05-19 00:32:06.000000,6.0,1252.0,3062.0,https://anaconda.org/conda-forge/satpy,2021-05-19 09:22:02.647000,63382.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +567,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 14:02:25.000000,2021-03-25 21:30:56.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,612,46.0,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 07:28:51.000000,96.0,67120.0,67120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +568,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-05-12 21:26:27.000000,2021-04-21 22:04:16.000000,47,40.0,53.0,602,411.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,21,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],13.0,13.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,6673.0,6673.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +569,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,96,22.0,39.0,565,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,726.0,614.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,8201.0,8201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +570,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,84,9.0,3.0,498,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,21,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,"['sklearn', 'xgboost']",351.0,351.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,30081.0,30081.0,,,,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,,,, +571,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-05-31 04:47:50.000000,2021-05-29 03:10:28.000000,83,3.0,10.0,496,4941.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",6.0,21,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,10141.0,10142.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,, +572,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 14:43:25.000000,58,16.0,37.0,434,32.0,"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'],205.0,171.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,10584.0,10584.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +573,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-05-27 16:04:25.000000,2021-05-14 16:02:09.000000,46,135.0,158.0,420,1502.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-02-25 16:05:06.000000,0.5.7,20.0,neuraxle,,,,,18.0,18.0,https://pypi.org/project/neuraxle,2021-02-25 16:00:44.000000,0.0,459.0,459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +574,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-06-03 13:57:08.000000,2021-05-12 08:39:52.000000,28,16.0,23.0,392,61.0,Python 3.6+ toolbox for submitting jobs to Slurm.,13.0,21,True,2021-04-08 08:01:58.000000,1.3.2,13.0,submitit,conda-forge/submitit,,,,148.0,148.0,https://pypi.org/project/submitit,2021-04-08 08:01:58.000000,0.0,4745.0,5028.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,2836.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +575,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-06-02 21:47:23.000000,2021-05-27 09:45:10.000000,75,35.0,21.0,388,857.0,Bias and Fairness Audit Toolkit.,16.0,21,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,81.0,75.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,1360.0,1360.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +576,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-05-30 21:35:06.000000,2021-05-30 21:26:54.000000,52,56.0,194.0,373,2393.0,Studio: Simplify and expedite model building process.,21.0,21,True,2021-05-30 21:35:06.000000,0.0.47,203.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-05-30 21:35:06.000000,,1063.0,1063.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +577,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 14:32:38.000000,73,46.0,48.0,370,782.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,84.0,60.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,14119.0,14119.0,,,,,,,,3.0,64.0,,,,,,,,,,,,,,,,,,,,, +578,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 21:10:24.000000,35,8.0,5.0,365,24.0,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'],708.0,618.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,28830.0,28830.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +579,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 22:49:49.000000,2021-04-09 04:41:52.000000,2021-04-09 04:41:45.000000,73,14.0,127.0,336,272.0,A Python library for dynamic classifier and ensemble selection.,13.0,21,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],20.0,20.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,2049.0,2049.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +580,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2021-04-02 15:12:19.000000,2021-04-02 15:10:14.000000,35,5.0,36.0,334,110.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,83.0,77.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,22215.0,22571.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,9618.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +581,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-06-01 02:53:54.000000,2021-05-31 20:57:37.000000,4,45.0,253.0,295,1811.0,"Lean Data Science workflows: develop and test locally. Deploy to Kubernetes, Airflow, or any web framework.",4.0,21,True,2021-05-22 17:30:20.000000,0.10.4,44.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-05-31 21:27:41.000000,0.0,2833.0,2833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +582,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,30,3.0,2.0,269,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,21,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,332.0,332.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,22489.0,22489.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +583,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-06-01 23:21:53.796000,2021-06-01 17:54:58.000000,22,27.0,272.0,229,2593.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,True,2021-06-01 18:12:43.000000,0.8.13,112.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-06-01 18:10:17.000000,0.0,849.0,3972.0,https://anaconda.org/conda-forge/static-frame,2021-06-01 23:21:53.796000,87455.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +584,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-06-02 07:05:18.000000,2021-06-02 07:05:18.000000,22,4.0,37.0,204,457.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,True,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 16:05:51.000000,6.0,28455.0,28455.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,, +585,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-03-13 16:57:07.865000,,0,205.0,1483.0,20,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,21,False,2021-03-10 19:38:02.000000,3.0.7,97.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-03-09 19:13:10.000000,9770.0,12554159.0,12554925.0,https://anaconda.org/anaconda/openpyxl,2021-03-13 16:57:07.865000,50192.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1183.0,3.0,,,,,,,,,0.0,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl +586,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 05:58:03.000000,1250,84.0,129.0,5434,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,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 21:20:16.000000,3.0,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +587,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-04-24 06:44:08.000000,2021-02-12 10:36:31.000000,769,37.0,461.0,4753,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,55.0,20,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,135.0,,,,,,,,3.0,677.0,,,,,,,,,,,,,,,,,,,,, +588,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-06-02 15:09:12.000000,2021-05-28 17:26:04.000000,441,48.0,531.0,3747,,Predictive AI layer for existing databases.,56.0,20,False,2021-05-28 17:44:02.000000,2.34.0,49.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,1158.0,1158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +589,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-06-03 09:56:27.000000,2021-05-25 03:26:46.000000,901,300.0,565.0,3132,7605.0,An Industrial Grade Federated Learning Framework.,56.0,20,True,2021-03-31 14:56:10.000000,1.6.0,26.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +590,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 17:01:45.000000,327,16.0,7.0,2850,27.0,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'],125.0,113.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,2674.0,2674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +591,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-05-31 08:30:34.000000,2021-05-03 14:30:03.000000,372,41.0,109.0,2791,144.0,Generate embeddings from large-scale graph-structured data.,21.0,20,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 21:31:13.000000,4.0,924.0,928.0,,,,,,,,3.0,113.0,,,,,,,,,,,,,,,,,,,,, +592,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-06-03 08:23:34.000000,2021-06-02 20:02:40.000000,498,79.0,483.0,2738,,NeMo: a toolkit for conversational AI.,95.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,5907.0,6021.0,,,,,,,,3.0,2397.0,,,,,,,,,,,,,,,,,,,,, +593,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-06-02 03:31:33.000000,2021-04-13 08:02:56.000000,400,16.0,110.0,2673,953.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,20,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,,454.0,454.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +594,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,,60.0,2663,1467.0,"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 04:11:36.000000,1.0,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +595,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 16:09:50.000000,2021-06-03 14:30:43.000000,2021-06-03 14:30:36.000000,344,14.0,14.0,2646,712.0,High-performance TensorFlow library for quantitative finance.,32.0,20,True,,,22.0,tf-quant-finance,,,,['tensorflow'],6.0,6.0,https://pypi.org/project/tf-quant-finance,2021-04-13 13:30:21.000000,0.0,225.0,225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +596,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-06-01 16:13:24.000000,2021-06-01 16:06:13.000000,438,22.0,3.0,2572,673.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-06-01 16:13:24.000000,0.11.9,10.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-06-01 16:13:24.000000,,128.0,128.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,, +597,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-04-30 21:23:18.277000,2021-03-31 18:23:13.000000,549,3.0,412.0,2279,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,20,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,812.0,https://anaconda.org/bioconda/deepvariant,2021-04-30 21:23:18.277000,30091.0,,,,,3.0,3356.0,,,,,,,,,,,,,,,,,,,,, +598,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,762,29.0,80.0,2251,46.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,44.0,37.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,2634.0,2634.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +599,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-04-08 07:07:32.000000,2021-04-07 16:52:32.000000,192,73.0,52.0,2210,268.0,"Text preprocessing, representation and visualization from zero to hero.",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,0.0,4625.0,4629.0,,,,,,,,3.0,66.0,,,,,,,,,,,,,,,,,,,,, +600,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-05-28 07:03:05.000000,2021-05-28 06:47:31.000000,95,11.0,55.0,2118,138.0,HiPlot makes understanding high dimensional data easy.,6.0,20,True,2021-03-24 11:12:36.000000,0.1.24,59.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-05-28 07:00:06.000000,0.0,7119.0,10582.0,https://anaconda.org/conda-forge/hiplot,2021-03-24 13:41:04.005000,55410.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +601,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-06-03 14:38:06.000000,2021-06-03 11:20:24.000000,374,111.0,833.0,2026,,AI Toolkit for Healthcare Imaging.,63.0,20,True,2021-06-01 20:50:14.000000,0.5.3,22.0,monai,,,,['pytorch'],0.0,,https://pypi.org/project/monai,2021-06-01 15:07:31.000000,0.0,7852.0,7852.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +602,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-06-03 06:09:11.000000,2021-06-03 06:07:39.000000,392,86.0,183.0,1984,520.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,20,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 14:17:10.000000,2.0,183.0,183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +603,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-05-23 14:35:58.000000,2021-05-23 14:35:53.000000,321,143.0,92.0,1583,,Super easy library for BERT based NLP models.,34.0,20,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 14:35:28.000000,2.0,2074.0,2074.0,,,,,,,,3.0,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,, +604,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 19:46:25.000000,295,185.0,216.0,1539,1149.0,[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 01:13:03.000000,2.0,2814.0,2814.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,, +605,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-05-09 14:50:10.000000,2021-05-09 14:49:27.000000,199,11.0,100.0,1504,243.0,"Reformer, the efficient Transformer, in Pytorch.",10.0,20,True,2021-05-09 14:49:45.000000,1.4.2,137.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-05-09 14:50:10.000000,,640.0,640.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +606,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,211,44.0,34.0,1456,58.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,20,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",79.0,71.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,2657.0,2657.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +607,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-06-01 16:03:10.327551,2020-12-17 06:57:15.000000,288,9.0,70.0,1414,932.0,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,,13.0,520.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-06-01 16:03:10.327551,,12694.0,3.0,,,,,,,,,,,,,,,,,,,,,, +608,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-06-02 20:56:46.000000,2021-05-25 15:34:32.000000,221,53.0,54.0,1273,371.0,An end-to-end PyTorch framework for image and video classification.,62.0,20,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,312.0,764.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,7698.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +609,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,388,11.0,24.0,1262,379.0,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'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +610,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-06-01 21:03:02.000000,2021-05-26 02:20:48.000000,108,127.0,1140.0,1220,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,20,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,28709.0,28730.0,,,,,,,,3.0,989.0,,,,,,,,,,,,,,,,,,,,, +611,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-03-18 20:46:02.000000,2020-02-04 21:10:25.000000,213,33.0,90.0,1145,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,20,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 00:53:47.000000,3.0,851.0,851.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +612,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-04-21 06:15:46.000000,2021-04-21 06:07:06.000000,59,36.0,32.0,1075,268.0,Python task queue using Redis.,22.0,20,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 07:36:13.000000,18.0,703.0,703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +613,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-06-02 06:34:05.000000,2021-06-01 08:00:54.000000,130,62.0,171.0,1058,888.0,Time series forecasting with PyTorch.,17.0,20,True,2021-04-27 20:38:48.000000,0.8.5,26.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-04-27 20:38:48.000000,,9413.0,9413.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +614,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-06-03 09:34:23.000000,2021-06-03 09:34:17.000000,75,3.0,16.0,1014,675.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,20,True,2021-04-02 10:59:33.000000,0.4.3,21.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-04-02 10:59:33.000000,2.0,9529.0,9529.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +615,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-05-30 20:04:12.000000,2021-05-30 20:04:06.000000,295,20.0,228.0,1008,750.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-04-07 11:51:17.000000,2.3.14,63.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-04-07 11:51:17.000000,2.0,395.0,395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +616,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-05-26 11:15:05.000000,2021-05-26 11:15:03.000000,103,26.0,19.0,957,,A Python package for time series classification.,9.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,119.0,115.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,14534.0,14875.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,7521.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +617,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,158,34.0,121.0,938,146.0,"Genetic Programming in Python, with a scikit-learn inspired API.",10.0,20,False,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],179.0,165.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,1384.0,1384.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +618,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-06-02 20:50:50.000000,2021-06-02 07:35:01.000000,208,102.0,144.0,936,,A Python package to assess and improve fairness of machine learning models.,43.0,20,True,2021-05-08 01:40:59.000000,0.6.2,15.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-05-08 00:41:07.000000,2.0,18202.0,18979.0,https://anaconda.org/conda-forge/fairlearn,2021-05-08 07:44:53.037000,12444.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +619,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,187,44.0,59.0,923,297.0,fastFM: A Library for Factorization Machines.,20.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,90.0,82.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,945.0,950.0,,,,,,,,3.0,388.0,,,,,,,,,,,,,,,,,,,,, +620,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,233,20.0,126.0,859,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,337.0,337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +621,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-06-03 13:44:48.000000,2021-06-03 13:44:47.000000,49,44.0,133.0,841,454.0,A python library for self-supervised learning on images.,11.0,20,True,2021-05-28 07:01:22.000000,1.1.11,23.0,lightly,,,,['pytorch'],13.0,13.0,https://pypi.org/project/lightly,2021-05-28 07:18:22.000000,0.0,1059.0,1059.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +622,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 18:58:15.000000,113,59.0,119.0,840,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,320.0,320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +623,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-06-01 11:35:46.000000,2021-06-01 11:24:39.000000,116,13.0,271.0,833,562.0,moDel Agnostic Language for Exploration and eXplanation.,19.0,20,False,2021-05-31 21:17:29.000000,1.2.0,20.0,dalex,,,,,14.0,14.0,https://pypi.org/project/dalex,2021-05-31 21:17:29.000000,0.0,7468.0,7468.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +624,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 13:49:02.000000,133,7.0,2.0,800,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,324.0,306.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,4712.0,4712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +625,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2021-05-21 14:50:19.000000,2019-11-15 21:43:53.000000,157,51.0,43.0,766,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,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 14:20:28.000000,1.0,13219.0,13219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +626,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-04-07 06:12:17.000000,2021-04-07 06:12:17.000000,271,53.0,84.0,749,,"Machine learning, statistics, and data mining for astronomy and astrophysics.",30.0,20,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 23:20:49.000000,29.0,1445.0,1958.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,23631.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +627,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 19:04:09.000000,47,23.0,22.0,745,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,139.0,127.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,16734.0,16734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +628,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-05-27 04:06:08.000000,2021-05-27 04:05:36.000000,75,7.0,74.0,741,130.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,20,True,2021-03-12 02:52:55.000000,1.13.5,49.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,10051.0,10051.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +629,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 14:31:53.000000,89,8.0,73.0,689,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,133.0,130.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,5527.0,5527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +630,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,137,23.0,38.0,678,159.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,68.0,52.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,2696.0,2696.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +631,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-05-11 17:28:53.000000,2021-05-11 17:28:52.000000,156,17.0,11.0,672,76.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",14.0,20,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,,,['tensorflow'],18.0,16.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,2.0,736.0,736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +632,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-05-26 17:22:33.000000,2021-05-26 17:19:48.000000,54,31.0,145.0,626,570.0,BAyesian Model-Building Interface (Bambi) in Python.,17.0,20,True,2021-05-16 23:07:43.000000,0.5.0,13.0,bambi,,,,,16.0,13.0,https://pypi.org/project/bambi,2021-05-16 23:07:43.000000,3.0,340.0,340.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +633,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-02-23 19:36:13.000000,2021-02-23 18:30:54.000000,27,6.0,15.0,607,342.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],30.0,30.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,0.0,1840.0,1840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +634,Labml,lab-ml/labml,,ml-experiments,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000000,2021-05-13 09:49:58.000000,2021-05-13 09:49:43.000000,46,4.0,7.0,572,1008.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,20,True,2021-05-13 09:49:58.000000,0.4.120,97.0,labml,,,,,26.0,26.0,https://pypi.org/project/labml,2021-05-13 09:49:58.000000,0.0,663.0,663.0,,,,,,,,3.0,,,,,,,,,,,,,labmlai/labml,,,,,,,,, +635,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-06-03 14:21:30.000000,2021-05-01 10:46:55.000000,148,29.0,82.0,543,112.0,Feature engineering package with sklearn like functionality.,23.0,20,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,29327.0,29638.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,3113.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +636,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 20:26:10.000000,2021-05-11 09:27:28.000000,2021-03-17 12:46:20.000000,102,38.0,38.0,526,319.0,Source code/webpage/demos for the What-If Tool.,19.0,20,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,9444.0,12165.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,2721.0,,,,,,,,,,,,,, +637,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-05-24 18:40:07.000000,2021-05-24 18:40:03.000000,72,25.0,196.0,519,,Extra blocks for scikit-learn pipelines.,46.0,20,True,2021-05-07 13:23:25.000000,0.6.7,33.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],27.0,27.0,https://pypi.org/project/scikit-lego,2021-05-07 13:24:31.000000,0.0,3278.0,3840.0,https://anaconda.org/conda-forge/scikit-lego,2021-05-07 16:59:35.251000,11246.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +638,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 17:03:59.000000,159,39.0,60.0,487,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,27.0,19.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,224.0,224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +639,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-05-28 15:21:32.000000,2021-05-28 15:15:44.000000,51,7.0,38.0,478,569.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-05-22 14:42:18.000000,1.5,22.0,poutyne,,,,['pytorch'],63.0,59.0,https://pypi.org/project/poutyne,2021-05-22 14:42:36.000000,4.0,2271.0,2271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +640,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 05:39:44.000000,53,17.0,22.0,475,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,20,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,19.0,15.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,1931.0,1931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +641,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-05-03 05:47:56.000000,2021-05-02 11:21:11.000000,47,9.0,27.0,474,238.0,Audio processing by using pytorch 1D convolution network.,9.0,20,True,2021-03-01 02:58:44.000000,0.2.2,30.0,nnAudio,,,,,14.0,14.0,https://pypi.org/project/nnAudio,2021-05-02 14:01:29.000000,,382.0,382.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +642,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 09:26:28.000000,99,57.0,35.0,467,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,161.0,145.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,20388.0,20388.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +643,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,69,2.0,10.0,428,249.0,Make Waffle Charts in Python.,6.0,20,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,61.0,61.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,2220.0,2220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +644,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 14:31:57.000000,63,23.0,5.0,391,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],38.0,32.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,15962.0,15962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +645,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 07:18:40.000000,86,35.0,8.0,389,362.0,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,,,,,22.0,20.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,20459.0,20459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +646,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-04-07 03:17:51.000000,2021-04-07 03:17:51.000000,82,15.0,21.0,358,,Working with molecular structures in pandas DataFrames.,7.0,20,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],61.0,55.0,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,975.0,2379.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,75833.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +647,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 15:25:38.000000,108,11.0,66.0,352,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,328.0,298.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,7684.0,7684.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +648,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-06-03 15:31:52.000000,2021-06-03 14:44:34.000000,27,129.0,288.0,321,5467.0,"Visualize, create, and debug image and video datasets and model predictions.",11.0,20,True,2021-05-18 23:11:08.000000,0.9.3,51.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",1.0,1.0,https://pypi.org/project/fiftyone,2021-05-18 23:11:08.000000,,3162.0,3162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +649,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-05-30 05:13:12.000000,2021-03-28 18:13:37.000000,27,9.0,28.0,306,516.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",5.0,20,True,2021-03-28 18:21:46.000000,0.5.5,17.0,sklearn-evaluation,,,,['sklearn'],30.0,28.0,https://pypi.org/project/sklearn-evaluation,2021-03-28 18:20:55.000000,2.0,682.0,682.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +650,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41,26.0,36.0,278,289.0,Data imputations library to preprocess datasets with missing data.,10.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,99.0,95.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,2109.0,2109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +651,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-06-02 17:58:19.000000,2021-04-06 22:04:33.000000,108,19.0,201.0,262,,A package built to support working with spatial data using open source python.,39.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,97.0,91.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,2894.0,4144.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,32503.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +652,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-05-17 02:25:55.000000,2021-05-17 02:24:37.000000,58,4.0,14.0,262,291.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-04-15 00:54:35.000000,0.1.681,131.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-05-17 02:25:55.000000,0.0,591.0,591.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +653,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 04:48:07.000000,28,17.0,9.0,255,110.0,pyspark methods to enhance developer productivity.,6.0,20,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,295659.0,295659.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +654,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 01:21:58.000000,112,67.0,120.0,244,393.0,Brain Imaging Analysis Kit.,33.0,20,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,184.0,192.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,573.0,3.0,,,,,,,,,,,,,,,,,,,,,, +655,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-06-01 07:57:44.000000,2021-06-01 07:57:34.000000,24,2.0,43.0,234,553.0,Dimensionality reduction in very large datasets using Siamese Networks.,9.0,20,True,2021-05-26 15:56:11.000000,2.0.3,29.0,ivis,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ivis,2021-05-26 15:56:11.000000,0.0,311.0,311.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +656,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-06-03 02:17:56.000000,2021-06-02 17:25:05.000000,46,29.0,62.0,168,325.0,An open-source toolkit for large-scale genomic analysis.,12.0,20,True,2021-04-28 00:07:10.000000,1.0.1,11.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-04-28 00:05:18.000000,,20941.0,20941.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +657,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 17:43:47.000000,734,8.0,108.0,4894,47.0,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 16:00:25.000000,7.0,1259.0,1259.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +658,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-05-27 21:27:14.000000,2020-09-03 12:26:48.000000,827,43.0,193.0,3106,563.0,"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.",27.0,19,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,3041.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,136856.0,3.0,,,,,,,,,,,,,,,,,,,,,, +659,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-05-22 06:07:24.000000,2021-04-21 01:41:01.000000,388,89.0,149.0,2830,417.0,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,177.0,223.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1106.0,3.0,,,,,,,,,,,,,,,,,,,,,, +660,image-match,EdjoLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,54.0,48.0,2574,404.0,Quickly search over billions of images.,17.0,19,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 14:54:48.000000,6.0,916.0,916.0,,,,,,,,3.0,,,,,,,,,,,,,ProvenanceLabs/image-match,,,,,,,,, +661,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-06-02 03:48:19.000000,2021-02-10 05:03:05.000000,295,88.0,249.0,2535,1893.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +662,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-05-22 08:11:37.000000,2021-01-15 13:09:22.000000,628,40.0,38.0,2278,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,272.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,167.0,3.0,,,,,,,,,,,,,,,,,,,,,, +663,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-06-03 14:55:07.000000,2021-06-03 14:05:15.000000,334,629.0,1154.0,2201,,cuML - RAPIDS Machine Learning Library.,128.0,19,True,2021-04-21 19:48:21.000000,0.19.0,8.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,716.0,716.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +664,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 13:57:02.000000,334,3.0,18.0,1926,168.0,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 08:00:24.000000,1.0,364.0,364.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +665,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-05-31 03:48:24.000000,2021-05-20 18:08:05.000000,212,33.0,280.0,1643,3124.0,Online machine learning in Python.,65.0,19,True,,,,,,,,,19.0,19.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +666,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2021-05-21 15:20:14.000000,2019-10-02 23:26:11.000000,442,81.0,67.0,1559,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,19,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,10.0,10.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +667,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 05:12:44.000000,172,50.0,145.0,1314,902.0,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,,476.0,515.0,,,,,,,,3.0,2192.0,,,,,,,,,,,,,,,,,,,,, +668,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-06-02 07:13:52.000000,2021-06-02 07:13:52.000000,149,27.0,43.0,1017,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,17.0,19,True,2021-05-12 05:13:54.000000,2.1.4,12.0,pgl,,,,['paddle'],19.0,17.0,https://pypi.org/project/pgl,2021-05-12 05:13:54.000000,2.0,795.0,795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +669,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 06:26:24.000000,187,14.0,42.0,988,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],39.0,35.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +670,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,976,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,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,,3542.0,4368.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,39668.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +671,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-28 04:27:05.000000,2021-04-28 04:27:05.000000,67,8.0,13.0,912,241.0,Python library for building highly effective data science workflows.,12.0,19,True,2021-03-17 03:43:31.000000,0.2.3,20.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2021-03-17 03:43:31.000000,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +672,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2021-05-24 07:30:15.000000,2021-05-24 07:29:54.000000,48,12.0,9.0,910,156.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,19,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,36.0,22.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +673,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-06-02 01:16:18.000000,2021-03-15 07:00:08.000000,96,14.0,8.0,898,66.0,Distributed Computing for AI Made Simple.,5.0,19,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,28.0,27.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1553.0,1553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +674,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-02-26 11:22:02.000000,2020-06-15 01:16:18.000000,138,15.0,28.0,866,270.0,A Toolbox for Adversarial Robustness Research.,16.0,19,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],45.0,39.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,1444.0,1444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +675,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-03-31 15:57:11.000000,2021-03-31 14:26:39.000000,206,40.0,97.0,858,167.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,19,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,2.0,4204.0,9307.0,,,,,,,,3.0,45935.0,,,,,,,,,,,,,,,,,,,,, +676,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-05-30 10:58:28.000000,2021-05-30 10:57:42.000000,176,33.0,171.0,825,372.0,Line based ATR Engine based on OCRopy.,18.0,19,True,2021-05-30 10:58:28.000000,2.1.2,28.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,1015.0,1015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +677,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 21:40:57.000000,176,17.0,20.0,764,106.0,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 11:43:26.000000,1.0,1877.0,1877.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +678,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-05-09 08:11:50.000000,2021-05-09 08:06:07.000000,114,46.0,66.0,709,278.0,PyTorch to Keras model convertor.,12.0,19,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,22.0,21.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,739.0,739.0,,,,,,,,3.0,,,,,,,,,,,,,gmalivenko/pytorch2keras,,,,,,,,, +679,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,62,25.0,21.0,687,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,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 22:45:59.000000,5.0,13039.0,13039.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,, +680,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-06-02 15:25:10.000000,2021-05-10 15:01:54.000000,68,21.0,115.0,643,1201.0,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 22:42:24.000000,2.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +681,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 18:37:42.000000,92,19.0,34.0,639,198.0,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,,,,,16.0,16.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,4803.0,4803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +682,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-04-23 07:08:20.000000,2021-04-23 07:08:20.000000,98,4.0,3.0,632,87.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,True,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,2655.0,2655.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +683,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,,36.0,623,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,139.0,131.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,2846.0,2846.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +684,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-04-21 06:30:05.000000,2021-04-21 06:29:48.000000,79,23.0,39.0,619,,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",4.0,19,True,2021-04-21 06:30:05.000000,1.0.11,75.0,performer-pytorch,,,,['pytorch'],25.0,25.0,https://pypi.org/project/performer-pytorch,2021-04-21 05:45:21.000000,0.0,1715.0,1715.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +685,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-05-26 15:36:20.000000,2021-05-16 02:57:33.000000,73,22.0,26.0,601,359.0,PFRL: a PyTorch-based deep reinforcement learning library.,13.0,19,True,2020-12-17 05:00:25.000000,0.2.1,4.0,pfrl,,,,,12.0,12.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,760.0,760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +686,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-05-28 00:13:37.000000,2021-05-28 00:13:07.000000,48,4.0,4.0,600,111.0,A library of reinforcement learning building blocks in JAX.,12.0,19,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],19.0,19.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,1178.0,1178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +687,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 19:56:57.000000,66,8.0,237.0,599,430.0,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'],54.0,48.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,1010.0,1010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +688,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-04-18 08:09:10.000000,2021-04-11 07:50:00.000000,29,6.0,14.0,578,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,251.0,34620.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,927968.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +689,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 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,50,2.0,11.0,560,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],149.0,135.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,5561.0,5561.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +690,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-05-28 11:51:08.000000,2021-05-24 16:00:46.000000,78,21.0,33.0,548,386.0,Generate Diverse Counterfactual Explanations for any machine learning model.,11.0,19,True,2021-05-10 16:05:55.000000,0.6.1,5.0,dice-ml,,,,"['tensorflow', 'pytorch']",0.0,,https://pypi.org/project/dice-ml,2021-05-10 16:05:55.000000,0.0,5426.0,5426.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +691,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-06-03 06:11:53.000000,2021-06-01 15:21:56.000000,35,19.0,187.0,543,619.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,10.0,19,True,2021-04-03 01:15:52.000000,1.0.13,12.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-04-03 01:15:52.000000,,797.0,797.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +692,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,127,29.0,47.0,533,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,50.0,46.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,708.0,708.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +693,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-05-14 00:38:32.000000,2021-05-14 00:33:59.000000,175,,65.0,490,171.0,Data compression in TensorFlow.,10.0,19,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 00:25:53.000000,1.0,1239.0,1239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +694,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 17:12:50.000000,47,5.0,22.0,449,268.0,Python module for machine learning time series:.,13.0,19,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,9.0,8.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,1893.0,1893.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +695,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-06-02 14:02:20.000000,2021-06-02 14:02:19.000000,64,62.0,136.0,428,2406.0,A Python library for learning and evaluating knowledge graph embeddings.,19.0,19,True,2021-03-04 16:07:36.000000,1.4.0,35.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-02-15 14:13:30.000000,2.0,692.0,698.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,, +696,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,66,5.0,21.0,373,97.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,55.0,55.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,0.0,3879.0,3879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +697,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 06:14:18.000000,33,17.0,16.0,369,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,18.0,16.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,374.0,582.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5839.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +698,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 23:21:55.000000,46,16.0,15.0,331,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],117.0,105.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,1832.0,1832.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +699,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 01:07:39.000000,76,20.0,17.0,311,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,19.0,19.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,4157.0,4157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +700,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-03-29 09:42:04.000000,2021-01-25 14:01:56.000000,20,21.0,25.0,291,370.0,Textpipe: clean and extract metadata from text.,27.0,19,True,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 14:05:21.000000,1.0,3131.0,3131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +701,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 01:36:55.000000,60,24.0,17.0,273,153.0,"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 01:35:23.000000,10.0,5374.0,5374.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,, +702,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 15:02:12.000000,30,21.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,173.0,160.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,4188.0,4195.0,,,,,,,,3.0,326.0,,,,,,,,,,,,,,,,,,,,, +703,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-05-19 06:49:35.000000,2021-05-19 06:49:29.000000,21,,11.0,219,342.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",3.0,19,True,2021-03-11 18:51:58.000000,0.2.8,8.0,imodels,,,,,7.0,7.0,https://pypi.org/project/imodels,2021-03-11 18:44:07.000000,,367.0,367.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +704,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,213,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,19,True,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 20:11:01.000000,0.0,173.0,867.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,24302.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,, +705,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-05-26 06:22:15.584000,2021-05-25 22:27:09.000000,60,2.0,24.0,191,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,10.0,19,True,2021-05-25 21:45:42.000000,2.7.0,49.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-05-25 21:45:42.000000,6.0,37257.0,37901.0,https://anaconda.org/conda-forge/pymap3d,2021-05-26 06:22:15.584000,9663.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +706,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-05-11 11:37:45.000000,2021-05-11 11:37:42.000000,32,9.0,35.0,185,411.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",26.0,19,True,2021-04-26 01:41:26.000000,1.0.0,56.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,598.0,598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +707,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-05-26 06:46:21.000000,2021-05-12 23:08:42.000000,15,70.0,67.0,171,534.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],13.0,13.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,349.0,349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +708,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-05-26 18:54:20.000000,2021-05-26 18:54:08.000000,9,,7.0,157,180.0,Fluent data pipelines for python and your shell.,4.0,19,True,2021-05-26 18:53:55.000000,1.1.7,35.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-05-26 18:53:55.000000,0.0,54589.0,54589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +709,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 20:41:09.000000,15,2.0,,67,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,3594.0,3374.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,787226.0,787226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +710,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-06-03 14:00:56.000000,2021-06-03 08:45:42.000000,986,375.0,1389.0,4124,,Object detection and instance segmentation toolkit based on PaddlePaddle.,60.0,18,True,2021-05-20 11:25:07.000000,2.1.0,3.0,,,,,['paddle'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +711,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-06-02 18:20:21.000000,2021-04-05 17:58:30.000000,255,48.0,43.0,2562,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,14.0,18,True,2021-04-05 19:14:45.000000,0.3,5.0,lit-nlp,,,,,3.0,3.0,https://pypi.org/project/lit-nlp,2021-04-05 19:12:37.000000,,419.0,419.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +712,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-05-05 13:40:19.000000,2021-03-21 02:20:20.000000,400,33.0,316.0,2114,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,18,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],36.0,34.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +713,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-03-08 23:02:36.000000,2021-03-08 23:02:33.000000,80,11.0,12.0,1725,134.0,"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.",16.0,18,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,,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +714,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 19:54:30.000000,153,12.0,15.0,1460,,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,18,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,,2214.0,2214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +715,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 03:11:32.000000,2021-05-23 20:59:57.000000,2021-04-29 23:59:19.000000,314,35.0,199.0,1368,230.0,Backtest trading strategies in Python.,13.0,18,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,5588.0,5588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +716,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 22:56:26.000000,92,12.0,9.0,1237,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,37.0,37.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,613.0,613.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +717,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-05-31 21:03:19.000000,2021-05-31 20:57:17.000000,66,5.0,21.0,1018,275.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,9.0,18,True,2021-05-31 21:03:19.000000,0.3.0,11.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-05-31 21:03:19.000000,,605.0,605.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +718,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 01:11:33.000000,2021-05-24 09:01:37.000000,2021-05-24 09:01:37.000000,92,1.0,35.0,779,1547.0,A Temporal Extension Library for PyTorch Geometric.,9.0,18,True,2021-05-19 22:30:02.000000,_00034,32.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-05-19 22:28:10.000000,,985.0,985.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +719,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 13:50:19.000000,2021-06-01 14:14:08.000000,2021-06-01 14:14:07.000000,42,43.0,38.0,703,355.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,16.0,18,True,2021-04-27 13:57:39.000000,0.9.7,9.0,hivemind,,,,,3.0,2.0,https://pypi.org/project/hivemind,2021-04-27 14:16:41.000000,1.0,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +720,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,109,21.0,31.0,639,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,21.0,18,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],27.0,25.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,579.0,579.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +721,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,79,25.0,17.0,584,397.0,An open source python library for scalable Bayesian optimisation.,12.0,18,True,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 18:05:12.000000,2.0,20769.0,20769.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +722,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-04-23 19:38:21.000000,2021-03-04 15:19:19.000000,100,9.0,52.0,537,139.0,"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,,,,,55.0,53.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,412.0,412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +723,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-05-14 14:51:58.000000,2021-04-30 14:40:12.000000,64,38.0,348.0,525,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,441.0,441.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,, +724,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-05-21 14:32:07.000000,2021-05-07 12:33:34.000000,110,3.0,47.0,464,164.0,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'],8.0,6.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +725,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-05-20 15:23:12.000000,2021-05-20 15:23:11.000000,33,11.0,33.0,355,107.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,18,True,2021-03-16 13:48:22.000000,1.3.0,8.0,baal,,,,,8.0,8.0,https://pypi.org/project/baal,2021-03-16 13:38:39.000000,,311.0,311.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +726,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 12:01:36.000000,78,55.0,161.0,343,413.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",16.0,18,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,36.0,35.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1244.0,1247.0,,,,,,,,3.0,162.0,,,,,,,,,,,,,,,,,,,,, +727,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-05-21 09:50:00.000000,2021-05-21 09:33:33.000000,17,7.0,23.0,331,1399.0,"spaCy plugin for Transformers , Udify, ELmo, etc.",7.0,18,True,2021-03-05 10:59:35.000000,0.8.8,45.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-03-05 10:59:35.000000,0.0,495.0,495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +728,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,29,3.0,14.0,319,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,17.0,17.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,1166.0,1166.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,, +729,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 07:57:48.000000,44,12.0,41.0,295,823.0,"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,,,,,13.0,11.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,553.0,553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +730,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 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,4.0,286,56.0,Topological Data Analysis for Python.,2.0,18,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,2905.0,2905.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +731,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,60,5.0,7.0,271,233.0,A library of metrics for evaluating recommender systems.,12.0,18,True,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,19.0,19.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,397.0,397.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +732,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 21:07:17.000000,2021-03-01 23:05:15.000000,2021-03-01 23:05:11.000000,45,7.0,9.0,267,47.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,10000.0,10000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +733,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,56,26.0,104.0,229,590.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",17.0,18,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,773.0,1850.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,48670.0,,,,,3.0,1482.0,,,,,,,,,,,,,,,,,,,,, +734,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-06-02 19:33:58.000000,2021-06-02 19:33:51.000000,59,15.0,7.0,203,263.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,20.0,18,True,2021-05-25 23:38:51.000000,0.30.1,18.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2021-05-25 23:38:51.000000,,839.0,839.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +735,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 14:04:36.000000,33,5.0,44.0,187,293.0,A library for augmenting annotated audio data.,7.0,18,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +736,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-06-03 15:24:44.000000,2021-06-03 15:09:50.000000,36,46.0,64.0,158,4532.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,18,True,2021-03-05 13:23:43.000000,0.5.0beta3,6.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-03-05 13:45:58.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +737,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-06-03 10:44:23.000000,2021-06-02 15:39:02.000000,399,171.0,820.0,3306,,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,57.0,17,True,2021-05-24 12:59:54.000000,1.2.0,40.0,,,,,,,,,,,,,,,,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,,, +738,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-06-03 05:26:13.000000,2021-06-03 05:25:50.000000,401,20.0,75.0,2910,1204.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",97.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +739,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 21:03:48.000000,372,67.0,48.0,2505,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,129.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6235.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +740,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2021-06-02 04:27:49.000000,2021-05-06 12:10:38.000000,86,14.0,6.0,2205,,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,17,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,,9.0,9.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,583.0,583.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +741,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 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,446,73.0,27.0,1842,135.0,Deep Learning Pipelines for Apache Spark.,15.0,17,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +742,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-05-21 00:29:47.000000,2021-05-21 00:14:44.000000,176,15.0,49.0,1575,82.0,"Codebase for Image Classification Research, written in PyTorch.",11.0,17,True,2021-05-21 00:29:47.000000,0.2,2.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,,, +743,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 16:47:45.000000,72,22.0,8.0,1563,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,17,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +744,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-06-03 15:18:47.000000,2021-06-03 02:38:57.000000,140,129.0,576.0,1511,,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",43.0,17,True,2021-04-21 21:35:59.000000,0.19.0,17.0,,blazingsql/blazingsql-protocol,,,,,,,,,,43.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,920.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +745,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 06:59:31.000000,249,20.0,13.0,1378,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,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,,48.0,83.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1593.0,3.0,,,,,,,,,,,,,,,,,,,,,, +746,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-06-03 13:55:27.000000,2021-06-03 08:59:35.000000,74,97.0,84.0,1278,,"Aim a super-easy way to record, search and compare 1000s of ML training runs.",12.0,17,True,2019-11-06 08:06:11.000000,3.1.0,57.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-05-27 08:34:38.000000,2.0,5875.0,5875.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +747,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-06-01 16:21:31.000000,2021-06-01 16:17:19.000000,60,16.0,30.0,1158,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,12.0,17,True,2021-04-22 15:43:15.000000,0.3.7,31.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-05-17 14:38:31.000000,,407.0,407.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +748,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-05-21 15:07:20.000000,2021-05-03 22:51:52.000000,233,8.0,29.0,1095,375.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,17,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,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +749,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 13:31:50.000000,138,42.0,29.0,1039,699.0,"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 13:39:19.000000,1.0,627.0,627.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +750,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-06-03 15:11:20.000000,2021-06-03 15:06:04.000000,149,110.0,549.0,725,,cuGraph - RAPIDS Graph Analytics Library.,63.0,17,True,2021-04-21 19:49:25.000000,0.19.0,8.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +751,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,84,24.0,31.0,665,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,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,,48950.0,48950.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +752,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-05-26 23:19:21.000000,2021-05-26 23:19:17.000000,27,5.0,13.0,556,167.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2021-05-26 23:15:44.000000,0.1.2,35.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2021-05-26 23:15:44.000000,,269.0,269.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +753,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-05-30 19:21:20.000000,2021-05-30 19:21:20.000000,33,50.0,95.0,402,869.0,"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..",13.0,17,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,126.0,131.0,,,,,,,,3.0,55.0,,,,,,,,,,,,,,,,,,,,, +754,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 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,17,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,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +755,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 15:23:32.000000,2021-03-14 19:58:41.000000,2021-03-14 19:58:35.000000,45,10.0,31.0,243,234.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",6.0,17,True,2021-03-14 04:16:59.000000,0.0.36,15.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-03-14 04:16:59.000000,,736.0,736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +756,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-06-01 16:05:08.000000,2021-06-01 16:05:00.000000,12,21.0,38.0,217,304.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,True,2021-06-01 15:54:50.000000,0.7.4,23.0,elegy,,,,"['tensorflow', 'jax']",,,https://pypi.org/project/elegy,2021-06-01 15:45:43.000000,,379.0,379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +757,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 16:48:58.000000,2021-06-02 23:05:35.000000,2021-06-02 23:05:28.000000,28,12.0,2.0,197,124.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,10.0,17,True,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,2.0,2.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,280.0,280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +758,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-04-26 17:36:33.000000,2021-04-26 17:34:54.000000,7,1.0,4.0,191,,Fast PyTorch based DSP for audio and 1D signals.,2.0,17,True,2021-03-03 09:48:59.000000,0.2.3,7.0,julius,,,,['pytorch'],13.0,13.0,https://pypi.org/project/julius,2021-03-03 09:48:59.000000,0.0,4491.0,4491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +759,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-05-29 00:00:25.000000,2020-07-08 16:14:41.000000,7,1.0,,77,252.0,Data Analysis Baseline Library.,18.0,17,False,2021-02-27 01:25:17.000000,0.2.0,11.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-02-27 01:25:17.000000,,1714.0,1714.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +760,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-05-27 11:52:15.000000,2021-05-27 11:51:34.000000,1310,39.0,157.0,6465,484.0,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,,,,,,,,,,,,,,,,,,,,,, +761,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-06-03 15:01:51.000000,2021-06-02 16:57:15.000000,497,19.0,63.0,4418,520.0,You like pytorch? You like micrograd? You love tinygrad!.,44.0,16,True,,,,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +762,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-06-03 10:22:40.000000,2021-06-03 10:22:35.000000,719,199.0,199.0,3781,126.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,23.0,16,True,,,,,,,,['pytorch'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +763,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 06:48:14.000000,164,26.0,6.0,1741,102.0,"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,,41.0,41.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,, +764,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 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,178,9.0,31.0,1386,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,16,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,648.0,648.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +765,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 00:51:15.000000,109,22.0,13.0,1258,316.0,"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 00:49:41.000000,1.0,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +766,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 14:40:50.000000,99,2.0,2.0,1170,192.0,"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,,,,,,,,,,,,,,,,,,,,,, +767,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-06-02 23:16:35.000000,2021-06-02 23:16:31.000000,112,27.0,44.0,808,274.0,A framework for Privacy Preserving Machine Learning.,24.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],7.0,7.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +768,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-05-31 11:32:56.000000,2021-05-12 01:21:37.000000,71,7.0,31.0,747,152.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,16,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +769,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 18:50:54.000000,107,14.0,9.0,736,57.0,A medical imaging framework for Pytorch.,8.0,16,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +770,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 23:13:28.000000,37,3.0,2.0,620,170.0,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 05:27:17.000000,2.0,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +771,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhi1thakur/tez,https://github.com/abhi1thakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-05-14 20:03:19.000000,2021-05-05 18:56:37.000000,80,13.0,7.0,606,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,16,True,2021-05-05 18:57:21.000000,0.1.4,10.0,tez,,,,['pytorch'],6.0,6.0,https://pypi.org/project/tez,2021-05-05 18:57:21.000000,0.0,858.0,858.0,,,,,,,,3.0,,,,,,,,,,,,,abhi1thakur/tez,,,,,,,,, +772,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,136,9.0,29.0,602,409.0,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,152.0,152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +773,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 04:22:15.000000,75,22.0,28.0,598,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,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,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +774,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-04-27 12:50:10.000000,2021-04-27 11:10:20.000000,68,9.0,21.0,597,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +775,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 17:40:58.000000,128,17.0,71.0,509,775.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +776,kglib,graknlabs/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-05-31 07:19:24.000000,2021-01-15 11:17:51.000000,82,8.0,49.0,428,487.0,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,,104.0,111.0,,,,,,,,3.0,207.0,,,,,,,,,,,,vaticle/kglib,,,,,,,,, +777,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2021-05-21 14:50:17.000000,2020-02-19 07:57:17.000000,82,4.0,12.0,371,213.0,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 06:52:11.000000,1.0,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +778,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2021-05-21 16:09:11.000000,2020-11-12 16:15:26.000000,68,18.0,2.0,356,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,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,,804.0,804.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +779,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 03:17:24.000000,99,14.0,19.0,352,122.0,semantic similarity framework for knowledge graph.,5.0,16,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 10:56:52.000000,3.0,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +780,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 16:09:13.000000,29,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,56.0,49.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +781,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-05-28 16:38:20.000000,2021-05-28 16:38:14.000000,40,7.0,8.0,337,48.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,220.0,220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +782,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,71,7.0,16.0,330,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,False,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,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +783,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-05-17 15:46:51.000000,2021-05-17 15:46:51.000000,36,3.0,9.0,326,124.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],3.0,3.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +784,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,35,8.0,5.0,237,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,16,True,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,,847.0,2929.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,95789.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +785,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,217,129.0,scikit-learn wrappers for Python fastText.,7.0,16,True,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,422.0,422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +786,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 09:03:57.000000,34,10.0,17.0,209,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,16,True,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,715.0,715.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,, +787,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 19:26:37.000000,25,6.0,5.0,197,127.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",2.0,16,False,,,23.0,parfit,,,,['sklearn'],8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,15186.0,15186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +788,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,181,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +789,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 15:02:43.000000,2021-06-02 09:26:30.000000,2021-06-02 09:26:30.000000,22,26.0,93.0,149,,Highly optimized inference engine for Binarized Neural Networks.,15.0,16,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,,,2.0,2.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,661.0,674.0,,,,,,,,3.0,219.0,,,,,,,,,,,,,,,,,,,,, +790,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 09:47:34.000000,31,16.0,50.0,127,69.0,"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,,,,,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +791,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-04-16 13:53:18.000000,2021-04-16 13:43:48.000000,21,16.0,52.0,116,218.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +792,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-06-01 09:38:47.000000,2021-04-27 06:09:01.000000,19,3.0,34.0,116,1088.0,Python Implementation and Extension of RDF2Vec.,5.0,16,False,2021-04-02 07:35:12.000000,0.2.2,10.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-04-02 07:33:41.000000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +793,DEβ«ΆTR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-05-07 07:15:47.000000,2020-11-15 16:03:45.000000,1133,86.0,246.0,7006,41.0,End-to-End Object Detection with Transformers.,20.0,15,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +794,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-05-31 02:53:28.000000,2021-05-31 02:53:22.000000,864,21.0,313.0,3140,158.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +795,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 05:53:01.000000,515,209.0,101.0,2579,8.0,A distributed graph deep learning framework.,5.0,15,True,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,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +796,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-04-06 17:36:59.000000,2020-10-18 09:32:47.000000,615,35.0,14.0,2030,28.0,Implementation and experiments of graph embedding algorithms.,8.0,15,True,,,,,,,,['sklearn'],9.0,9.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +797,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-05-09 17:27:03.000000,2021-05-09 17:25:02.000000,71,18.0,25.0,937,262.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +798,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-05-05 05:17:00.000000,2021-05-05 05:16:56.000000,167,66.0,27.0,697,807.0,Translate - a PyTorch Language Library.,86.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +799,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 03:52:40.000000,83,37.0,84.0,653,1096.0,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 08:52:20.000000,2.0,52.0,60.0,,,,,,,,3.0,290.0,,,,,,,,,,,,,,,,,,,,, +800,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-04-19 22:37:30.000000,2021-04-19 22:37:22.000000,88,15.0,46.0,643,42.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,15,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,451.0,451.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +801,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-05-26 19:26:29.000000,2021-05-25 14:53:19.000000,63,15.0,99.0,485,,GPU accelerated signal processing.,30.0,15,True,2021-04-21 15:16:02.000000,0.19.0,6.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +802,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 09:52:49.000000,38,10.0,23.0,345,170.0,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 10:51:26.000000,2.0,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +803,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,41,2.0,10.0,329,24.0,Leave One Feature Out Importance.,3.0,15,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,4.0,4.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +804,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 17:58:14.000000,2021-05-12 05:30:22.000000,2021-03-02 19:30:45.000000,14,69.0,175.0,281,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,True,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +805,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 09:03:27.000000,38,1.0,13.0,228,276.0,Easy training and deployment of seq2seq models.,2.0,15,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 09:06:29.000000,1.0,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +806,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-05-29 00:28:21.000000,2020-12-16 17:41:37.000000,27,26.0,8.0,198,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,True,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +807,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 14:23:04.000000,21,2.0,6.0,173,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,15,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],3.0,3.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +808,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 21:10:26.000000,20,6.0,4.0,162,51.0,Draw interactive NetworkX graphs with Altair.,3.0,15,True,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 21:11:12.000000,4.0,400.0,400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +809,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 09:24:52.000000,21,6.0,6.0,159,74.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",3.0,15,True,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,,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +810,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,9,,4.0,133,196.0,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 03:39:09.000000,2.0,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +811,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-03-25 23:48:34.000000,2021-01-25 04:03:23.000000,9,5.0,1.0,69,621.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",10.0,15,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,,213.0,213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +812,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-04-23 05:17:29.000000,2019-12-13 19:03:25.000000,494,50.0,147.0,3615,138.0,"Learning embeddings for classification, retrieval and ranking.",17.0,14,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +813,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-04-06 08:24:33.000000,2021-04-06 08:24:50.000000,790,65.0,231.0,2582,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +814,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-05-21 14:52:52.000000,2018-09-19 19:27:00.000000,652,85.0,58.0,2339,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +815,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 10:00:04.000000,393,8.0,53.0,2050,439.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +816,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-06-01 15:02:21.000000,2021-04-10 10:49:50.000000,69,5.0,4.0,638,,An autoML framework & toolkit for machine learning on graphs.,5.0,14,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,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +817,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-06-03 12:40:38.000000,2021-06-01 20:17:25.000000,86,36.0,13.0,590,339.0,Machine learning framework for both deep learning and traditional algorithms.,21.0,14,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +818,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,,350,15.0,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 15:14:41.000000,0.0,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +819,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 17:31:53.000000,18,4.0,20.0,288,465.0,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,,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +820,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 01:08:37.000000,2021-05-21 14:45:19.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,170,79.0,An automatic ML model optimization tool.,11.0,14,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,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +821,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-06-03 07:32:21.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,121,361.0,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,,22.0,42.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,638.0,3.0,,,,,,,,,,,,,,,,,,,,,, +822,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 13:00:14.000000,32,27.0,16.0,104,285.0,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,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +823,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 18:08:46.000000,14,3.0,1.0,96,207.0,"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,,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +824,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 07:23:32.000000,450,37.0,7.0,2441,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +825,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,129,2.0,3.0,1680,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +826,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,450,50.0,82.0,1467,98.0,An Open-Source Package for Network Embedding (NE).,10.0,13,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +827,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 12:34:57.000000,2021-05-31 17:04:23.000000,2021-05-31 17:04:14.000000,245,33.0,85.0,969,38.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +828,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,49,2.0,1.0,475,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,13,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,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +829,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 19:43:51.000000,7,1.0,3.0,78,72.0,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']",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +830,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-05-17 02:29:26.000000,2021-05-17 02:28:42.000000,16,2.0,1.0,62,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,13,False,2021-05-16 22:24:54.000000,0.0.35,35.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-05-16 22:24:54.000000,,763.0,763.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +831,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-06-02 03:43:21.000000,2020-12-14 15:24:53.000000,6,,,40,,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,5.0,5.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +832,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,227,10.0,5.0,1226,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +833,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,306,45.0,14.0,1125,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +834,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 02:18:46.000000,121,29.0,55.0,911,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,170.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3757.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +835,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-06-01 09:13:29.000000,2021-06-01 09:12:00.000000,6,,,32,,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,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +836,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-03-08 15:54:27.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,12,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +837,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-04-29 13:51:46.000000,2021-04-29 13:46:13.000000,133,9.0,3.0,1017,,A web app to generate template code for machine learning.,3.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +838,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 21:56:58.000000,109,7.0,20.0,931,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +839,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 16:50:23.000000,143,15.0,14.0,875,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +840,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 17:21:44.000000,40,1.0,2.0,263,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,11,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +841,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 11:38:17.000000,2021-06-03 12:54:33.000000,2021-05-28 18:47:58.000000,11,4.0,23.0,223,416.0,MLOps tool for deploying machine learning projects to Kubernetes.,4.0,11,False,,,,bodywork-core,,,,,2.0,2.0,https://pypi.org/project/bodywork-core,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +842,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,,2.0,121,64.0,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,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +843,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,,,9,122.0,Train off-the-shelf machine learning models in one line of code.,,10,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,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 94f54fda..63cf0e44 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,36 +2,29 @@ _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._ -- jax (πŸ₯ˆ34 Β· ⭐ 13K Β· πŸ“ˆ) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- tensor2tensor (πŸ₯‡33 Β· ⭐ 11K Β· πŸ“ˆ) - Library of deep learning models and datasets designed.. Apache-2 -- fastText (πŸ₯‡31 Β· ⭐ 23K Β· πŸ’€) - Library for fast text representation and classification. MIT -- DeepSpeech (πŸ₯‡31 Β· ⭐ 17K Β· πŸ“ˆ) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- flair (πŸ₯‡31 Β· ⭐ 10K Β· πŸ“ˆ) - A very simple framework for state-of-the-art Natural Language.. MIT -- Dopamine (πŸ₯‡30 Β· ⭐ 9.4K Β· πŸ“ˆ) - Dopamine is a research framework for fast prototyping of.. Apache-2 -- TextDistance (πŸ₯‰25 Β· ⭐ 2K Β· πŸ“ˆ) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- TensorTrade (πŸ₯ˆ24 Β· ⭐ 3.2K Β· πŸ“ˆ) - An open source reinforcement learning framework for.. Apache-2 -- NiftyNet (πŸ₯‰22 Β· ⭐ 1.3K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 -- Explainability 360 (πŸ₯ˆ22 Β· ⭐ 830 Β· πŸ“ˆ) - Interpretability and explainability of data and.. Apache-2 +- Celery (πŸ₯‡40 Β· ⭐ 17K Β· πŸ“ˆ) - Asynchronous task queue/job queue based on distributed message passing. BSD-3 +- SymPy (πŸ₯‡36 Β· ⭐ 8.1K Β· πŸ“ˆ) - A computer algebra system written in pure Python. BSD-3 +- Albumentations (πŸ₯ˆ30 Β· ⭐ 8.1K Β· πŸ“ˆ) - Fast image augmentation library and an easy-to-use.. MIT +- AutoKeras (πŸ₯‡29 Β· ⭐ 8K Β· πŸ“ˆ) - AutoML library for deep learning. Apache-2 +- pycm (πŸ₯ˆ24 Β· ⭐ 1.1K Β· πŸ“ˆ) - Multi-class confusion matrix library in Python. MIT +- TensorFlow Privacy (πŸ₯ˆ23 Β· ⭐ 1.4K Β· πŸ“ˆ) - Library for training machine learning models with.. Apache-2 +- Sentinelsat (πŸ₯‰23 Β· ⭐ 610 Β· πŸ“ˆ) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- checklist (πŸ₯ˆ22 Β· ⭐ 1.4K Β· πŸ“ˆ) - Beyond Accuracy: Behavioral Testing of NLP models with.. MIT +- lets-plot (πŸ₯‰22 Β· ⭐ 620 Β· πŸ“ˆ) - An open-source plotting library for statistical data. MIT +- pycls (πŸ₯‰17 Β· ⭐ 1.6K Β· πŸ“ˆ) - Codebase for Image Classification Research, written in PyTorch. MIT ## 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._ -- Core ML Tools (πŸ₯ˆ24 Β· ⭐ 2.2K Β· πŸ“‰) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- pyclustering (πŸ₯ˆ24 Β· ⭐ 830 Β· πŸ“‰) - pyclustring is a Python, C++ data mining library. BSD-3 -- fastNLP (πŸ₯‰23 Β· ⭐ 2.1K Β· πŸ“‰) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 -- TabPy (πŸ₯‰23 Β· ⭐ 1.1K Β· πŸ“‰) - Execute Python code on the fly and display results in Tableau.. MIT -- Satpy (πŸ₯‰21 Β· ⭐ 700 Β· πŸ“‰) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 -- lore (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT -- fairlearn (πŸ₯‰20 Β· ⭐ 790 Β· πŸ“‰) - A Python package to assess and improve fairness of machine.. MIT -- fletcher (πŸ₯‰19 Β· ⭐ 210 Β· πŸ“‰) - Pandas ExtensionDType/Array backed by Apache Arrow. MIT -- sklearn-porter (πŸ₯‰16 Β· ⭐ 1K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. MIT -- AlphaPy (πŸ₯‰15 Β· ⭐ 590 Β· πŸ“‰) - Automated Machine Learning [AutoML] with Python, scikit-learn,.. Apache-2 - -## βž• Added Projects - -_Projects that were recently added to this best-of list._ - -- nnAudio (πŸ₯‰20 Β· ⭐ 460 Β· βž•) - Audio processing by using pytorch 1D convolution network. MIT -- opyrator (πŸ₯‰17 Β· ⭐ 2.1K Β· 🐣) - Turns your machine learning code into microservices with web API,.. MIT +- Airflow (πŸ₯ˆ32 Β· ⭐ 22K Β· πŸ“‰) - Platform to programmatically author, schedule, and monitor.. Apache-2 +- Tablib (πŸ₯ˆ30 Β· ⭐ 4K Β· πŸ“‰) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. MIT +- Cython BLIS (πŸ₯ˆ26 Β· ⭐ 170 Β· πŸ“‰) - Fast matrix-multiplication as a self-contained Python library.. BSD-3 +- textacy (πŸ₯‰25 Β· ⭐ 1.7K Β· πŸ“‰) - NLP, before and after spaCy. Apache-2 +- tesserocr (πŸ₯ˆ25 Β· ⭐ 1.5K Β· πŸ“‰) - A Python wrapper for the tesseract-ocr API. MIT +- DeepSpeech (πŸ₯‰24 Β· ⭐ 17K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- tabulator-py (πŸ₯‰24 Β· ⭐ 210 Β· πŸ“‰) - Python library for reading and writing tabular data via streams. MIT +- pyvips (πŸ₯‰22 Β· ⭐ 320 Β· πŸ“‰) - python binding for libvips using cffi. MIT +- combo (πŸ₯‰21 Β· ⭐ 500 Β· πŸ“‰) - (AAAI' 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost +- DALI (πŸ₯‰17 Β· ⭐ 3.3K Β· πŸ“‰) - A GPU-accelerated library containing highly optimized building.. Apache-2