From 5ce6adf7b827b37b8921a107bdcb9ea0129f9b26 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 12 Oct 2023 14:58:40 +0000 Subject: [PATCH] Update best-of list for version 2023.10.12 --- README.md | 3979 ++++++++++++++++--------------- history/2023-10-12_changes.md | 30 + history/2023-10-12_projects.csv | 917 +++++++ latest-changes.md | 40 +- 4 files changed, 2974 insertions(+), 1992 deletions(-) create mode 100644 history/2023-10-12_changes.md create mode 100644 history/2023-10-12_projects.csv diff --git a/README.md b/README.md index 158a3843..27b7fcbd 100644 --- a/README.md +++ b/README.md @@ -52,7 +52,7 @@ This curated list contains 920 awesome open-source projects with a total of 4.1M - [Reinforcement Learning](#reinforcement-learning) _23 projects_ - [Recommender Systems](#recommender-systems) _17 projects_ - [Privacy Machine Learning](#privacy-machine-learning) _7 projects_ -- [Workflow & Experiment Tracking](#workflow--experiment-tracking) _39 projects_ +- [Workflow & Experiment Tracking](#workflow--experiment-tracking) _40 projects_ - [Model Serialization & Deployment](#model-serialization--deployment) _20 projects_ - [Model Interpretability](#model-interpretability) _54 projects_ - [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _13 projects_ @@ -101,27 +101,27 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (πŸ₯‡55 Β· ⭐ 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 89K Β· πŸ“¦ 310K Β· πŸ“‹ 38K - 5% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 89K Β· πŸ“¦ 310K Β· πŸ“‹ 38K - 5% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 17M / month Β· πŸ“¦ 15K Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 18M / month Β· πŸ“¦ 15K Β· ⏱️ 26.09.2023): ``` pip install tensorflow ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 4.4M Β· ⏱️ 21.07.2023): +- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 4.4M Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 74M Β· ⭐ 2.2K Β· ⏱️ 05.10.2023): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 75M Β· ⭐ 2.2K Β· ⏱️ 12.10.2023): ``` docker pull tensorflow/tensorflow ```
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PyTorch (πŸ₯‡53 Β· ⭐ 71K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +
PyTorch (πŸ₯‡53 Β· ⭐ 72K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 19K Β· πŸ“₯ 25K Β· πŸ“¦ 320K Β· πŸ“‹ 37K - 33% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 19K Β· πŸ“₯ 25K Β· πŸ“¦ 330K Β· πŸ“‹ 37K - 33% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/pytorch/pytorch @@ -137,28 +137,28 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (πŸ₯‡52 Β· ⭐ 56K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 25K Β· πŸ“₯ 900 Β· πŸ“¦ 610K Β· πŸ“‹ 11K - 20% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 25K Β· πŸ“₯ 900 Β· πŸ“¦ 610K Β· πŸ“‹ 11K - 20% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 41M / month Β· πŸ“¦ 30K Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 42M / month Β· πŸ“¦ 30K Β· ⏱️ 21.09.2023): ``` pip install scikit-learn ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 25M Β· ⏱️ 21.09.2023): +- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 25M Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge scikit-learn ```
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Keras (πŸ₯‡46 Β· ⭐ 59K) - Deep Learning for humans. Apache-2 +
Keras (πŸ₯‡46 Β· ⭐ 60K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 19K Β· πŸ“¦ 16 Β· πŸ“‹ 12K - 3% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 19K Β· πŸ“¦ 18 Β· πŸ“‹ 12K - 3% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 12M / month Β· πŸ“¦ 640 Β· ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 13M / month Β· πŸ“¦ 640 Β· ⏱️ 11.09.2023): ``` pip install keras ``` @@ -169,7 +169,7 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (πŸ₯‡45 Β· ⭐ 37K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 28K Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 28K Β· ⏱️ 12.10.2023): ``` git clone https://github.com/apache/spark @@ -185,51 +185,51 @@ _General-purpose machine learning and deep learning frameworks._
jax (πŸ₯‡45 Β· ⭐ 25K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 2.3K Β· πŸ“¦ 18K Β· πŸ“‹ 4.9K - 32% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 2.3K Β· πŸ“¦ 18K Β· πŸ“‹ 4.9K - 31% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 3.4M / month Β· πŸ“¦ 690 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 3.5M / month Β· πŸ“¦ 700 Β· ⏱️ 07.10.2023): ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 940K Β· ⏱️ 15.09.2023): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 950K Β· ⏱️ 12.10.2023): ``` conda install -c conda-forge jaxlib ```
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PaddlePaddle (πŸ₯‡45 Β· ⭐ 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 +
pytorch-lightning (πŸ₯‡45 Β· ⭐ 25K) - Deep learning framework to train, deploy, and ship AI.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.3K Β· πŸ“₯ 15K Β· πŸ“¦ 4.1K Β· πŸ“‹ 18K - 11% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/Lightning-AI/lightning) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 3K Β· πŸ“₯ 13K Β· πŸ“¦ 25K Β· πŸ“‹ 6.5K - 9% open Β· ⏱️ 12.10.2023): ``` - git clone https://github.com/PaddlePaddle/Paddle + git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 160K / month Β· πŸ“¦ 76 Β· ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 3.9M / month): ``` - pip install paddlepaddle + pip install pytorch-lightning + ``` +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 970K Β· ⏱️ 15.09.2023): + ``` + conda install -c conda-forge pytorch-lightning ```
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pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 25K) - Deep learning framework to train, deploy, and ship AI.. Apache-2 +
PaddlePaddle (πŸ₯‡45 Β· ⭐ 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/lightning) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 3K Β· πŸ“₯ 13K Β· πŸ“¦ 25K Β· πŸ“‹ 6.6K - 10% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.3K Β· πŸ“₯ 15K Β· πŸ“¦ 4.1K Β· πŸ“‹ 18K - 11% open Β· ⏱️ 12.10.2023): ``` - git clone https://github.com/Lightning-AI/lightning - ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 3.9M / month Β· πŸ“¦ 700 Β· ⏱️ 28.09.2023): - ``` - pip install pytorch-lightning + git clone https://github.com/PaddlePaddle/Paddle ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 960K Β· ⏱️ 15.09.2023): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 170K / month Β· πŸ“¦ 76 Β· ⏱️ 27.07.2023): ``` - conda install -c conda-forge pytorch-lightning + pip install paddlepaddle ```
XGBoost (πŸ₯ˆ44 Β· ⭐ 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 8.6K Β· πŸ“₯ 7.2K Β· πŸ“¦ 68K Β· πŸ“‹ 5K - 7% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 8.6K Β· πŸ“₯ 7.3K Β· πŸ“¦ 69K Β· πŸ“‹ 5K - 7% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/dmlc/xgboost @@ -238,7 +238,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install xgboost ``` -- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 4.3M Β· ⏱️ 26.08.2023): +- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 4.3M Β· ⏱️ 12.10.2023): ``` conda install -c conda-forge xgboost ``` @@ -254,110 +254,118 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install statsmodels ``` -- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 11M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 12M Β· ⏱️ 05.10.2023): ``` conda install -c conda-forge statsmodels ```
LightGBM (πŸ₯ˆ43 Β· ⭐ 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.8K Β· πŸ“₯ 200K Β· πŸ“¦ 26K Β· πŸ“‹ 3.1K - 10% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.6K Β· πŸ“₯ 200K Β· πŸ“¦ 26K Β· πŸ“‹ 3.1K - 9% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 6.8M / month Β· πŸ“¦ 810 Β· ⏱️ 12.09.2023): +- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 6.9M / month): ``` pip install lightgbm ``` -- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 2M Β· ⏱️ 12.09.2023): +- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 2M Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge lightgbm ```
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Catboost (πŸ₯ˆ41 Β· ⭐ 7.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 +
Jina (πŸ₯ˆ40 Β· ⭐ 19K) - Build multimodal AI applications with cloud-native stack. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 180K Β· πŸ“¦ 11 Β· πŸ“‹ 2.1K - 24% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/catboost/catboost + git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2M / month Β· πŸ“¦ 340 Β· ⏱️ 19.09.2023): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 79K / month): ``` - pip install catboost + pip install jina ``` -- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 1.4M Β· ⏱️ 19.09.2023): +- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 56K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge catboost + conda install -c conda-forge jina-core + ``` +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 11.10.2023): + ``` + docker pull jinaai/jina ```
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Jina (πŸ₯ˆ40 Β· ⭐ 19K) - Build multimodal AI applications with cloud-native stack. Apache-2 +
Catboost (πŸ₯ˆ39 Β· ⭐ 7.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 180K Β· πŸ“¦ 11 Β· πŸ“‹ 2.1K - 23% open Β· ⏱️ 12.10.2023): ``` - git clone https://github.com/jina-ai/jina - ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 83K / month Β· πŸ“¦ 15 Β· ⏱️ 04.10.2023): - ``` - pip install jina + git clone https://github.com/catboost/catboost ``` -- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 56K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2M / month): ``` - conda install -c conda-forge jina-core + pip install catboost ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 04.10.2023): +- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 1.4M Β· ⏱️ 19.09.2023): ``` - docker pull jinaai/jina + conda install -c conda-forge catboost ```
Fastai (πŸ₯ˆ38 Β· ⭐ 25K) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 7.4K Β· πŸ“¦ 15K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 18.09.2023): +- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 7.2K Β· πŸ“¦ 15K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 18.09.2023): ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 270K / month Β· πŸ“¦ 330 Β· ⏱️ 28.03.2023): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 290K / month): ``` pip install fastai ```
MXNet (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 -- [GitHub](https://github.com/apache/mxnet) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 6.9K Β· πŸ“₯ 26K Β· πŸ“¦ 6.8K Β· πŸ“‹ 9.6K - 18% open Β· ⏱️ 26.01.2023): +- [GitHub](https://github.com/apache/mxnet) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 6.5K Β· πŸ“₯ 26K Β· πŸ“¦ 6.8K Β· πŸ“‹ 9.6K - 18% open Β· ⏱️ 26.01.2023): ``` git clone https://github.com/apache/incubator-mxnet ``` -- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 350K / month Β· πŸ“¦ 290 Β· ⏱️ 17.05.2022): +- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 340K / month): ``` pip install mxnet ``` -- [Conda](https://anaconda.org/anaconda/mxnet) (πŸ“₯ 10K Β· πŸ“¦ 5 Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/anaconda/mxnet) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): ``` conda install -c anaconda mxnet ```
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Theano (πŸ₯ˆ37 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +
PyFlink (πŸ₯ˆ37 Β· ⭐ 22K Β· πŸ“ˆ) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/Theano/Theano) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 2.5K Β· πŸ“¦ 14K Β· πŸ“‹ 2.8K - 24% open Β· ⏱️ 20.12.2022): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 18 Β· ⏱️ 12.10.2023): ``` - git clone https://github.com/Theano/Theano + git clone https://github.com/apache/flink + ``` +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 160K / month Β· πŸ“¦ 22 Β· ⏱️ 27.09.2022): + ``` + pip install apache-flink ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 400K / month Β· πŸ“¦ 2.8K Β· ⏱️ 27.07.2020): +
+
ivy (πŸ₯ˆ37 Β· ⭐ 14K) - The Unified AI Framework. Apache-2 + +- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 6K Β· πŸ“‹ 17K - 21% open Β· ⏱️ 12.10.2023): + ``` - pip install theano + git clone https://github.com/unifyai/ivy ``` -- [Conda](https://anaconda.org/conda-forge/theano) (πŸ“₯ 2.4M Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 1.3K / month Β· πŸ“¦ 9 Β· ⏱️ 11.10.2023): ``` - conda install -c conda-forge theano + pip install ivy ```
Flax (πŸ₯ˆ37 Β· ⭐ 4.8K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 540 Β· πŸ“₯ 49 Β· πŸ“¦ 4.5K Β· πŸ“‹ 820 - 21% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 540 Β· πŸ“₯ 49 Β· πŸ“¦ 4.5K Β· πŸ“‹ 820 - 21% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/google/flax @@ -371,26 +379,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge flax ```
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ivy (πŸ₯ˆ36 Β· ⭐ 14K) - The Unified AI Framework. Apache-2 - -- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 5.8K Β· πŸ“‹ 17K - 25% open Β· ⏱️ 05.10.2023): - - ``` - git clone https://github.com/unifyai/ivy - ``` -- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 1.2K / month Β· πŸ“¦ 9 Β· ⏱️ 04.09.2023): - ``` - pip install ivy - ``` -
Thinc (πŸ₯ˆ36 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 280 Β· πŸ“¦ 37K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 280 Β· πŸ“¦ 38K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 22.09.2023): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 5.4M / month Β· πŸ“¦ 640 Β· ⏱️ 22.09.2023): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 5.7M / month Β· πŸ“¦ 640 Β· ⏱️ 22.09.2023): ``` pip install thinc ``` @@ -401,28 +397,28 @@ _General-purpose machine learning and deep learning frameworks._
Vowpal Wabbit (πŸ₯ˆ35 Β· ⭐ 8.3K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 2K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 2K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 74K / month Β· πŸ“¦ 33 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 94K / month Β· πŸ“¦ 33 Β· ⏱️ 19.07.2023): ``` pip install vowpalwabbit ``` -- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 130K Β· ⏱️ 01.10.2023): +- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 130K Β· ⏱️ 08.10.2023): ``` conda install -c conda-forge vowpalwabbit ```
einops (πŸ₯ˆ35 Β· ⭐ 7.3K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 310 Β· πŸ“¦ 18K Β· πŸ“‹ 150 - 19% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 310 Β· πŸ“¦ 18K Β· πŸ“‹ 150 - 17% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 4.3M / month Β· πŸ“¦ 680 Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 4.3M / month): ``` pip install einops ``` @@ -433,12 +429,12 @@ _General-purpose machine learning and deep learning frameworks._
Ignite (πŸ₯ˆ35 Β· ⭐ 4.3K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 600 Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.3K - 11% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 600 Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.3K - 12% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 150K / month Β· πŸ“¦ 43 Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 160K / month Β· πŸ“¦ 43 Β· ⏱️ 12.10.2023): ``` pip install pytorch-ignite ``` @@ -447,26 +443,26 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c pytorch ignite ```
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PyFlink (πŸ₯ˆ34 Β· ⭐ 22K) - Apache Flink Python API. Apache-2 +
Ludwig (πŸ₯ˆ34 Β· ⭐ 9.9K) - Low-code framework for building custom LLMs, neural networks,.. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 16 Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 200 Β· πŸ“‹ 1.1K - 31% open Β· ⏱️ 12.10.2023): ``` - git clone https://github.com/apache/flink + git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 150K / month): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 6.7K / month Β· πŸ“¦ 9 Β· ⏱️ 09.10.2023): ``` - pip install apache-flink + pip install ludwig ```
Chainer (πŸ₯ˆ34 Β· ⭐ 5.8K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT -- [GitHub](https://github.com/chainer/chainer) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.4K Β· πŸ“¦ 3.1K Β· πŸ“‹ 2K - 0% open Β· ⏱️ 17.10.2022): +- [GitHub](https://github.com/chainer/chainer) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.1K Β· πŸ“‹ 2K - 0% open Β· ⏱️ 17.10.2022): ``` git clone https://github.com/chainer/chainer ``` -- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 15K / month Β· πŸ“¦ 400 Β· ⏱️ 05.01.2022): +- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 16K / month): ``` pip install chainer ``` @@ -475,18 +471,6 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge chainer ```
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Ludwig (πŸ₯‰33 Β· ⭐ 9.9K) - Low-code framework for building custom LLMs, neural networks,.. Apache-2 - -- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 200 Β· πŸ“‹ 1K - 30% open Β· ⏱️ 05.10.2023): - - ``` - git clone https://github.com/ludwig-ai/ludwig - ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 6.1K / month Β· πŸ“¦ 9 Β· ⏱️ 19.09.2023): - ``` - pip install ludwig - ``` -
tensorpack (πŸ₯‰32 Β· ⭐ 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2 - [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.8K Β· πŸ“₯ 160 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.4K - 0% open Β· ⏱️ 06.08.2023): @@ -498,19 +482,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install tensorpack ``` -- [Conda](https://anaconda.org/conda-forge/tensorpack) (πŸ“₯ 9.9K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tensorpack) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tensorpack ```
skorch (πŸ₯‰32 Β· ⭐ 5.3K) - A scikit-learn compatible neural network library that wraps.. BSD-3 -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 360 Β· πŸ“¦ 960 Β· πŸ“‹ 490 - 9% open Β· ⏱️ 07.09.2023): +- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 350 Β· πŸ“¦ 960 Β· πŸ“‹ 490 - 9% open Β· ⏱️ 07.09.2023): ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 80K / month Β· πŸ“¦ 48 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 70K / month): ``` pip install skorch ``` @@ -519,30 +503,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge skorch ```
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mlpack (πŸ₯‰32 Β· ⭐ 4.5K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 - -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 20.09.2023): - - ``` - git clone https://github.com/mlpack/mlpack - ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 2.6K / month Β· πŸ“¦ 1 Β· ⏱️ 07.09.2023): - ``` - pip install mlpack - ``` -- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 160K Β· ⏱️ 17.06.2023): - ``` - conda install -c conda-forge mlpack - ``` -
Haiku (πŸ₯‰32 Β· ⭐ 2.6K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 220 Β· πŸ“¦ 1.5K Β· πŸ“‹ 280 - 38% open Β· ⏱️ 15.09.2023): +- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 220 Β· πŸ“¦ 1.5K Β· πŸ“‹ 240 - 28% open Β· ⏱️ 15.09.2023): ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 280K / month Β· πŸ“¦ 67 Β· ⏱️ 14.07.2023): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 270K / month): ``` pip install dm-haiku ``` @@ -553,36 +521,36 @@ _General-purpose machine learning and deep learning frameworks._
tensorflow-upstream (πŸ₯‰32 Β· ⭐ 660) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 79 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 25% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 79 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 25% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 3.1K / month Β· πŸ“¦ 5 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 3.5K / month Β· πŸ“¦ 5 Β· ⏱️ 04.10.2023): ``` pip install tensorflow-rocm ```
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EvaDB (πŸ₯‰31 Β· ⭐ 2.3K) - Database system for AI-powered apps. Apache-2 +
EvaDB (πŸ₯‰31 Β· ⭐ 2.4K) - Database system for AI-powered apps. Apache-2 -- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 190 Β· πŸ“₯ 410K Β· πŸ“¦ 35 Β· πŸ“‹ 250 - 24% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 200 Β· πŸ“₯ 410K Β· πŸ“¦ 39 Β· πŸ“‹ 260 - 24% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 1.5K / month Β· ⏱️ 30.09.2023): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 1.4K / month): ``` pip install evadb ```
Sonnet (πŸ₯‰30 Β· ⭐ 9.6K) - TensorFlow-based neural network library. Apache-2 -- [GitHub](https://github.com/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.4K Β· πŸ“¦ 1.1K Β· πŸ“‹ 190 - 17% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.2K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 21.07.2023): ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 15K / month Β· πŸ“¦ 52 Β· ⏱️ 27.03.2020): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 15K / month): ``` pip install dm-sonnet ``` @@ -591,50 +559,38 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge sonnet ```
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Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.6K Β· πŸ“ˆ) - Neural Network Libraries. Apache-2 +
ktrain (πŸ₯‰30 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 340 Β· πŸ“₯ 710 Β· πŸ“‹ 92 - 36% open Β· ⏱️ 21.09.2023): +- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 270 Β· πŸ“¦ 460 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 05.09.2023): ``` - git clone https://github.com/sony/nnabla + git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.3K / month Β· πŸ“¦ 54 Β· ⏱️ 01.05.2022): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 20K / month Β· πŸ“¦ 3 Β· ⏱️ 05.09.2023): ``` - pip install nnabla + pip install ktrain ```
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Determined (πŸ₯‰30 Β· ⭐ 2.5K) - Determined is a deep-learning platform that simplifies.. Apache-2 +
Determined (πŸ₯‰29 Β· ⭐ 2.5K) - Determined is a deep-learning platform that simplifies.. Apache-2 -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 310 Β· πŸ“₯ 7.3K Β· πŸ“‹ 420 - 29% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 310 Β· πŸ“₯ 7.3K Β· πŸ“‹ 340 - 11% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 16K / month Β· πŸ“¦ 4 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 16K / month): ``` pip install determined ```
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ktrain (πŸ₯‰30 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 - -- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 260 Β· πŸ“¦ 460 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 05.09.2023): - - ``` - git clone https://github.com/amaiya/ktrain - ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 20K / month): - ``` - pip install ktrain - ``` -
Geomstats (πŸ₯‰29 Β· ⭐ 1K) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 220 Β· πŸ“¦ 81 Β· πŸ“‹ 540 - 38% open Β· ⏱️ 21.09.2023): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 210 Β· πŸ“¦ 82 Β· πŸ“‹ 500 - 33% open Β· ⏱️ 21.09.2023): ``` git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 2.5K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 1.7K / month): ``` pip install geomstats ``` @@ -643,9 +599,21 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge geomstats ```
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Neural Network Libraries (πŸ₯‰27 Β· ⭐ 2.6K) - Neural Network Libraries. Apache-2 + +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 330 Β· πŸ“₯ 710 Β· πŸ“‹ 79 - 25% open Β· ⏱️ 10.10.2023): + + ``` + git clone https://github.com/sony/nnabla + ``` +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.4K / month): + ``` + pip install nnabla + ``` +
Neural Tangents (πŸ₯‰27 Β· ⭐ 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 230 Β· πŸ“₯ 320 Β· πŸ“¦ 81 Β· πŸ“‹ 150 - 40% open Β· ⏱️ 30.09.2023): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 230 Β· πŸ“₯ 330 Β· πŸ“¦ 81 Β· πŸ“‹ 150 - 40% open Β· ⏱️ 30.09.2023): ``` git clone https://github.com/google/neural-tangents @@ -655,18 +623,18 @@ _General-purpose machine learning and deep learning frameworks._ pip install neural-tangents ```
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pyRiemann (πŸ₯‰27 Β· ⭐ 520) - Machine learning for multivariate data analysis through the.. BSD-3 +
pyRiemann (πŸ₯‰27 Β· ⭐ 530) - Machine learning for multivariate data analysis through the.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 150 Β· πŸ“¦ 280 Β· πŸ“‹ 100 - 7% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 150 Β· πŸ“¦ 280 Β· πŸ“‹ 100 - 7% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 29K / month Β· πŸ“¦ 17 Β· ⏱️ 17.07.2022): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 26K / month Β· πŸ“¦ 17 Β· ⏱️ 17.07.2022): ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 4.2K Β· ⏱️ 20.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 4.3K Β· ⏱️ 20.06.2023): ``` conda install -c conda-forge pyriemann ``` @@ -678,7 +646,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 2.5K / month Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 4.5K / month Β· ⏱️ 14.09.2023): ``` pip install towhee ``` @@ -690,7 +658,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2.3K / month Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2.5K / month Β· ⏱️ 16.08.2023): ``` pip install fklearn ``` @@ -702,31 +670,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/itdxer/neupy ``` -- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 3.4K / month Β· πŸ“¦ 13 Β· ⏱️ 04.04.2019): +- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 5.5K / month): ``` pip install neupy ```
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Objax (πŸ₯‰23 Β· ⭐ 740) - Objax is a machine learning framework that provides an Object.. Apache-2 - -- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 74 Β· πŸ“¦ 41 Β· πŸ“‹ 110 - 44% open Β· ⏱️ 12.06.2023): - - ``` - git clone https://github.com/google/objax - ``` -- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 750 / month Β· πŸ“¦ 5 Β· ⏱️ 31.01.2022): - ``` - pip install objax - ``` -
NeoML (πŸ₯‰23 Β· ⭐ 740) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 120 Β· πŸ“‹ 83 - 39% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 120 Β· πŸ“‹ 83 - 39% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 900 / month Β· ⏱️ 19.09.2023): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 1K / month Β· ⏱️ 19.09.2023): ``` pip install neoml ``` @@ -738,51 +694,54 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 280 / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 300 / month): ``` pip install thundersvm ```
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chefboost (πŸ₯‰19 Β· ⭐ 410) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT +
chefboost (πŸ₯‰19 Β· ⭐ 420) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT - [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 95 Β· πŸ“¦ 48 Β· πŸ“‹ 32 - 15% open Β· ⏱️ 01.10.2023): ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 590 / month Β· ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 430 / month Β· ⏱️ 16.02.2022): ``` pip install chefboost ```
ThunderGBM (πŸ₯‰16 Β· ⭐ 680) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 -- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 87 Β· πŸ“¦ 2 Β· πŸ“‹ 78 - 46% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 81 Β· πŸ“¦ 2 Β· πŸ“‹ 78 - 46% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 61 / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 76 / month): ``` pip install thundergbm ```
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Show 15 hidden projects... +
Show 18 hidden projects... - dlib (πŸ₯ˆ40 Β· ⭐ 12K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 -- MindsDB (πŸ₯‰33 Β· ⭐ 18K) - MindsDB connects AI models to databases. ❗️GPL-3.0 -- TFlearn (πŸ₯‰33 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT +- Theano (πŸ₯ˆ34 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define,.. ❗Unlicensed +- MindsDB (πŸ₯‰33 Β· ⭐ 18K) - MindsDB connects AI models to datasources. ❗️GPL-3.0 - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 - dyNET (πŸ₯‰32 Β· ⭐ 3.4K Β· πŸ’€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 -- CNTK (πŸ₯‰30 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT -- NuPIC (πŸ₯‰28 Β· ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. ❗️AGPL-3.0 +- TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for.. ❗Unlicensed +- mlpack (πŸ₯‰30 Β· ⭐ 4.6K) - mlpack: a fast, header-only C++ machine learning library. ❗Unlicensed - Lasagne (πŸ₯‰28 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT +- NuPIC (πŸ₯‰27 Β· ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. ❗️AGPL-3.0 +- CNTK (πŸ₯‰26 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed - xLearn (πŸ₯‰26 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - SHOGUN (πŸ₯‰26 Β· ⭐ 3K Β· πŸ’€) - Unified and efficient Machine Learning. BSD-3 - mace (πŸ₯‰22 Β· ⭐ 4.8K Β· πŸ’€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - neon (πŸ₯‰22 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 +- Objax (πŸ₯‰21 Β· ⭐ 740) - Apache-2 - Torchbearer (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - torchbearer: A model fitting library for PyTorch. MIT -- elegy (πŸ₯‰18 Β· ⭐ 450 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT +- elegy (πŸ₯‰17 Β· ⭐ 450 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT - StarSpace (πŸ₯‰16 Β· ⭐ 3.9K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT

@@ -793,34 +752,34 @@ _General-purpose machine learning and deep learning frameworks._ _General-purpose and task-specific data visualization libraries._ -
Matplotlib (πŸ₯‡50 Β· ⭐ 18K) - matplotlib: plotting with Python. Python-2.0 +
Matplotlib (πŸ₯‡48 Β· ⭐ 18K) - matplotlib: plotting with Python. ❗Unlicensed -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 7K Β· πŸ“¦ 960K Β· πŸ“‹ 10K - 14% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 7K Β· πŸ“¦ 970K Β· πŸ“‹ 9.8K - 12% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 39M / month Β· πŸ“¦ 62K Β· ⏱️ 15.09.2023): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 40M / month): ``` pip install matplotlib ``` -- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 21M Β· ⏱️ 21.09.2023): +- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 21M Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge matplotlib ```
Bokeh (πŸ₯‡45 Β· ⭐ 18K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 4.1K Β· πŸ“¦ 77K Β· πŸ“‹ 7.4K - 10% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 4.1K Β· πŸ“¦ 77K Β· πŸ“‹ 7.5K - 10% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.4M / month Β· πŸ“¦ 3.8K Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.5M / month Β· πŸ“¦ 3.8K Β· ⏱️ 10.10.2023): ``` pip install bokeh ``` -- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 13M Β· ⏱️ 14.08.2023): +- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 13M Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge bokeh ``` @@ -840,19 +799,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 34K / month Β· πŸ“¦ 6 Β· ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 38K / month): ``` npm install plotlywidget ```
Seaborn (πŸ₯‡43 Β· ⭐ 11K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.8K Β· πŸ“₯ 270 Β· πŸ“¦ 310K Β· πŸ“‹ 2.4K - 4% open Β· ⏱️ 01.10.2023): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.7K Β· πŸ“₯ 280 Β· πŸ“¦ 310K Β· πŸ“‹ 2.4K - 4% open Β· ⏱️ 01.10.2023): ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 9.9M / month Β· πŸ“¦ 11K Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 10M / month): ``` pip install seaborn ``` @@ -863,12 +822,12 @@ _General-purpose and task-specific data visualization libraries._
Altair (πŸ₯‡42 Β· ⭐ 8.5K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 88 Β· πŸ“¦ 77K Β· πŸ“‹ 1.9K - 9% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 88 Β· πŸ“¦ 79K Β· πŸ“‹ 1.9K - 9% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 16M / month Β· πŸ“¦ 600 Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 15M / month Β· πŸ“¦ 610 Β· ⏱️ 03.10.2023): ``` pip install altair ``` @@ -879,28 +838,28 @@ _General-purpose and task-specific data visualization libraries._
dash (πŸ₯‡40 Β· ⭐ 19K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“¦ 52K Β· πŸ“‹ 1.6K - 47% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“¦ 53K Β· πŸ“‹ 1.6K - 47% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2.2M / month): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2.2M / month Β· πŸ“¦ 1.4K Β· ⏱️ 11.10.2023): ``` pip install dash ``` -- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.1M Β· ⏱️ 29.08.2023): +- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.1M Β· ⏱️ 12.10.2023): ``` conda install -c conda-forge dash ```
pandas-profiling (πŸ₯ˆ37 Β· ⭐ 11K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.5K Β· πŸ“‹ 720 - 24% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.5K Β· πŸ“‹ 730 - 24% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 720K / month Β· πŸ“¦ 190 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 700K / month): ``` pip install pandas-profiling ``` @@ -916,19 +875,19 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 120K / month Β· πŸ“¦ 250 Β· ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 110K / month Β· πŸ“¦ 250 Β· ⏱️ 21.08.2023): ``` pip install pyecharts ```
UMAP (πŸ₯ˆ36 Β· ⭐ 6.5K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 740 Β· πŸ“¦ 11K Β· πŸ“‹ 750 - 56% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 720 Β· πŸ“¦ 11K Β· πŸ“‹ 740 - 55% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 920K / month Β· πŸ“¦ 500 Β· ⏱️ 15.09.2023): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 970K / month): ``` pip install umap-learn ``` @@ -953,30 +912,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge plotnine ```
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PyQtGraph (πŸ₯ˆ35 Β· ⭐ 3.4K) - Fast data visualization and GUI tools for scientific / engineering.. MIT - -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1K Β· πŸ“¦ 8K Β· πŸ“‹ 1.2K - 29% open Β· ⏱️ 04.10.2023): - - ``` - git clone https://github.com/pyqtgraph/pyqtgraph - ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 150K / month Β· πŸ“¦ 930 Β· ⏱️ 29.09.2022): - ``` - pip install pyqtgraph - ``` -- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 470K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge pyqtgraph - ``` -
VisPy (πŸ₯ˆ35 Β· ⭐ 3.1K) - High-performance interactive 2D/3D data visualization library. BSD-3 -- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 82K / month Β· πŸ“¦ 130 Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 81K / month): ``` pip install vispy ``` @@ -984,130 +927,94 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 21 / month Β· πŸ“¦ 1 Β· ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 17 / month Β· πŸ“¦ 1 Β· ⏱️ 15.03.2020): ``` npm install vispy ```
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HoloViews (πŸ₯ˆ35 Β· ⭐ 2.5K) - With Holoviews, your data visualizes itself. BSD-3 +
Graphviz (πŸ₯ˆ35 Β· ⭐ 1.5K) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“‹ 3.1K - 32% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 200 Β· πŸ“¦ 54K Β· πŸ“‹ 160 - 5% open Β· ⏱️ 22.07.2023): ``` - git clone https://github.com/holoviz/holoviews - ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 300K / month Β· πŸ“¦ 250 Β· ⏱️ 04.10.2023): - ``` - pip install holoviews + git clone https://github.com/xflr6/graphviz ``` -- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.4M Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 8M / month Β· πŸ“¦ 3.4K Β· ⏱️ 23.07.2022): ``` - conda install -c conda-forge holoviews + pip install graphviz ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 820 / month Β· πŸ“¦ 2 Β· ⏱️ 16.08.2023): +- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 41K Β· ⏱️ 16.06.2023): ``` - npm install @pyviz/jupyterlab_pyviz + conda install -c anaconda python-graphviz ```
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FiftyOne (πŸ₯ˆ34 Β· ⭐ 5K) - Visualize, create, and debug image and video datasets.. Apache-2 +
FiftyOne (πŸ₯ˆ34 Β· ⭐ 5.2K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 420 Β· πŸ“¦ 400 Β· πŸ“‹ 1.3K - 33% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 420 Β· πŸ“¦ 410 Β· πŸ“‹ 1.4K - 35% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 41K / month): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 41K / month Β· πŸ“¦ 9 Β· ⏱️ 06.10.2023): ``` pip install fiftyone ```
PyVista (πŸ₯ˆ34 Β· ⭐ 2K) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 370 Β· πŸ“₯ 780 Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.3K - 27% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“₯ 780 Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.3K - 27% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 200K / month Β· πŸ“¦ 220 Β· ⏱️ 16.09.2023): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 200K / month Β· πŸ“¦ 220 Β· ⏱️ 07.10.2023): ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 400K Β· ⏱️ 16.09.2023): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 410K Β· ⏱️ 07.10.2023): ``` conda install -c conda-forge pyvista ```
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Graphviz (πŸ₯ˆ34 Β· ⭐ 1.5K) - Simple Python interface for Graphviz. MIT - -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 200 Β· πŸ“¦ 54K Β· πŸ“‹ 160 - 5% open Β· ⏱️ 22.07.2023): - - ``` - git clone https://github.com/xflr6/graphviz - ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 8.1M / month Β· πŸ“¦ 3.4K Β· ⏱️ 23.07.2022): - ``` - pip install graphviz - ``` -- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 41K Β· ⏱️ 16.06.2023): - ``` - conda install -c anaconda python-graphviz - ``` -
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wordcloud (πŸ₯ˆ33 Β· ⭐ 9.7K) - A little word cloud generator in Python. MIT - -- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 2.3K Β· πŸ“¦ 16 Β· πŸ“‹ 520 - 20% open Β· ⏱️ 04.10.2023): - - ``` - git clone https://github.com/amueller/word_cloud - ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.4M / month Β· πŸ“¦ 810 Β· ⏱️ 18.05.2023): - ``` - pip install wordcloud - ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 440K Β· ⏱️ 07.07.2023): - ``` - conda install -c conda-forge wordcloud - ``` -
datashader (πŸ₯ˆ33 Β· ⭐ 3.1K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“¦ 3K Β· πŸ“‹ 570 - 23% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“¦ 3K Β· πŸ“‹ 570 - 23% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 73K / month Β· πŸ“¦ 120 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 75K / month Β· πŸ“¦ 120 Β· ⏱️ 17.08.2023): ``` pip install datashader ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 680K Β· ⏱️ 17.08.2023): +- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 690K Β· ⏱️ 17.08.2023): ``` conda install -c conda-forge datashader ```
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Perspective (πŸ₯ˆ32 Β· ⭐ 6.7K) - A data visualization and analytics component, especially.. Apache-2 +
Perspective (πŸ₯ˆ32 Β· ⭐ 6.8K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 820 Β· πŸ“₯ 1.3K Β· πŸ“¦ 600 Β· πŸ“‹ 670 - 14% open Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 830 Β· πŸ“₯ 1.3K Β· πŸ“¦ 620 Β· πŸ“‹ 670 - 14% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 5.4K / month Β· πŸ“¦ 12 Β· ⏱️ 01.09.2023): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 6.8K / month Β· πŸ“¦ 13 Β· ⏱️ 08.10.2023): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 460K Β· ⏱️ 02.10.2023): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 460K Β· ⏱️ 09.10.2023): ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 1.4K / month Β· πŸ“¦ 3 Β· ⏱️ 01.09.2023): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 2.3K / month Β· πŸ“¦ 3 Β· ⏱️ 08.10.2023): ``` npm install @finos/perspective-jupyterlab ```
D-Tale (πŸ₯ˆ31 Β· ⭐ 4.3K) - Visualizer for pandas data structures. ❗️LGPL-2.1 -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 350 Β· πŸ“¦ 880 Β· πŸ“‹ 540 - 9% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 350 Β· πŸ“¦ 890 Β· πŸ“‹ 540 - 9% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/man-group/dtale @@ -1121,50 +1028,86 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge dtale ```
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bqplot (πŸ₯ˆ31 Β· ⭐ 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2 +
HoloViews (πŸ₯ˆ31 Β· ⭐ 2.5K Β· πŸ“‰) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 470 Β· πŸ“¦ 49 Β· πŸ“‹ 610 - 39% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 370 Β· πŸ“‹ 3.1K - 32% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/bqplot/bqplot + git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 150K / month Β· πŸ“¦ 100 Β· ⏱️ 17.07.2023): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 300K / month): ``` - pip install bqplot + pip install holoviews ``` -- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 1.2M Β· ⏱️ 12.07.2023): +- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.4M Β· ⏱️ 17.08.2023): ``` - conda install -c conda-forge bqplot + conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 5.8K / month Β· πŸ“¦ 16 Β· ⏱️ 04.08.2023): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 980 / month): ``` - npm install bqplot + npm install @pyviz/jupyterlab_pyviz ```
lets-plot (πŸ₯ˆ31 Β· ⭐ 1.2K) - Multiplatform plotting library based on Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 48 Β· πŸ“₯ 540 Β· πŸ“¦ 47 Β· πŸ“‹ 430 - 26% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 48 Β· πŸ“₯ 540 Β· πŸ“¦ 48 Β· πŸ“‹ 440 - 26% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 27K / month Β· πŸ“¦ 1 Β· ⏱️ 13.09.2023): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 28K / month Β· πŸ“¦ 1 Β· ⏱️ 13.09.2023): ``` pip install lets-plot ```
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hvPlot (πŸ₯‰30 Β· ⭐ 810) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 +
wordcloud (πŸ₯ˆ30 Β· ⭐ 9.7K) - A little word cloud generator in Python. MIT + +- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 2.2K Β· πŸ“¦ 18 Β· πŸ“‹ 500 - 18% open Β· ⏱️ 04.10.2023): + + ``` + git clone https://github.com/amueller/word_cloud + ``` +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.4M / month): + ``` + pip install wordcloud + ``` +- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 440K Β· ⏱️ 07.07.2023): + ``` + conda install -c conda-forge wordcloud + ``` +
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bqplot (πŸ₯ˆ30 Β· ⭐ 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2 + +- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 470 Β· πŸ“¦ 49 Β· πŸ“‹ 610 - 39% open Β· ⏱️ 04.10.2023): + + ``` + git clone https://github.com/bqplot/bqplot + ``` +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 140K / month Β· πŸ“¦ 100 Β· ⏱️ 17.07.2023): + ``` + pip install bqplot + ``` +- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 1.2M Β· ⏱️ 12.07.2023): + ``` + conda install -c conda-forge bqplot + ``` +- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 5.3K / month Β· πŸ“¦ 16 Β· ⏱️ 04.08.2023): + ``` + npm install bqplot + ``` +
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hvPlot (πŸ₯ˆ30 Β· ⭐ 810) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 88 Β· πŸ“¦ 3.7K Β· πŸ“‹ 680 - 44% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 88 Β· πŸ“¦ 3.7K Β· πŸ“‹ 690 - 44% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 130K / month Β· πŸ“¦ 92 Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 120K / month Β· πŸ“¦ 92 Β· ⏱️ 20.09.2023): ``` pip install hvplot ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 470K Β· ⏱️ 20.06.2023): +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 480K Β· ⏱️ 20.06.2023): ``` conda install -c conda-forge hvplot ``` @@ -1183,12 +1126,12 @@ _General-purpose and task-specific data visualization libraries._
Sweetviz (πŸ₯‰29 Β· ⭐ 2.6K) - Visualize and compare datasets, target values and associations, with one.. MIT -- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 260 Β· πŸ“¦ 1.7K Β· πŸ“‹ 130 - 33% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 260 Β· πŸ“¦ 1.7K Β· πŸ“‹ 120 - 28% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 70K / month Β· πŸ“¦ 12 Β· ⏱️ 26.08.2023): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 72K / month): ``` pip install sweetviz ``` @@ -1199,12 +1142,12 @@ _General-purpose and task-specific data visualization libraries._
mpld3 (πŸ₯‰29 Β· ⭐ 2.3K Β· πŸ’€) - D3 Renderings of Matplotlib Graphics. BSD-3 -- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 350 Β· πŸ“¦ 5.1K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 10.12.2022): +- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 360 Β· πŸ“¦ 5.1K Β· πŸ“‹ 360 - 60% open Β· ⏱️ 10.12.2022): ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 290K / month Β· πŸ“¦ 410 Β· ⏱️ 10.12.2022): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 280K / month Β· πŸ“¦ 410 Β· ⏱️ 10.12.2022): ``` pip install mpld3 ``` @@ -1212,7 +1155,7 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 600 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 560 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): ``` npm install mpld3 ``` @@ -1224,7 +1167,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/tensorflow/data-validation ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 320K / month Β· πŸ“¦ 30 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 370K / month Β· πŸ“¦ 30 Β· ⏱️ 14.08.2023): ``` pip install tensorflow-data-validation ``` @@ -1236,7 +1179,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/ResidentMario/missingno ``` -- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 360K / month Β· πŸ“¦ 140 Β· ⏱️ 27.02.2022): +- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 370K / month Β· πŸ“¦ 140 Β· ⏱️ 27.02.2022): ``` pip install missingno ``` @@ -1245,40 +1188,40 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge missingno ```
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pythreejs (πŸ₯‰27 Β· ⭐ 900 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 +
AutoViz (πŸ₯‰27 Β· ⭐ 1.5K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/jupyter-widgets/pythreejs) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 180 Β· πŸ“¦ 27 Β· πŸ“‹ 240 - 25% open Β· ⏱️ 20.02.2023): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 180 Β· πŸ“¦ 560 Β· πŸ“‹ 78 - 2% open Β· ⏱️ 04.07.2023): ``` - git clone https://github.com/jupyter-widgets/pythreejs - ``` -- [PyPi](https://pypi.org/project/pythreejs) (πŸ“₯ 66K / month Β· πŸ“¦ 55 Β· ⏱️ 20.02.2023): - ``` - pip install pythreejs + git clone https://github.com/AutoViML/AutoViz ``` -- [Conda](https://anaconda.org/conda-forge/pythreejs) (πŸ“₯ 510K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 160K / month Β· πŸ“¦ 7 Β· ⏱️ 03.10.2022): ``` - conda install -c conda-forge pythreejs + pip install autoviz ``` -- [npm](https://www.npmjs.com/package/jupyter-threejs) (πŸ“₯ 3.8K / month Β· πŸ“¦ 11 Β· ⏱️ 20.02.2023): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 42K Β· ⏱️ 21.07.2023): ``` - npm install jupyter-threejs + conda install -c conda-forge autoviz ```
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AutoViz (πŸ₯‰26 Β· ⭐ 1.5K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 +
pythreejs (πŸ₯‰27 Β· ⭐ 900 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 180 Β· πŸ“¦ 550 Β· πŸ“‹ 78 - 2% open Β· ⏱️ 04.07.2023): +- [GitHub](https://github.com/jupyter-widgets/pythreejs) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 180 Β· πŸ“¦ 27 Β· πŸ“‹ 240 - 25% open Β· ⏱️ 20.02.2023): ``` - git clone https://github.com/AutoViML/AutoViz + git clone https://github.com/jupyter-widgets/pythreejs ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 44K / month Β· πŸ“¦ 7 Β· ⏱️ 03.10.2022): +- [PyPi](https://pypi.org/project/pythreejs) (πŸ“₯ 62K / month Β· πŸ“¦ 56 Β· ⏱️ 20.02.2023): ``` - pip install autoviz + pip install pythreejs ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 42K Β· ⏱️ 21.07.2023): +- [Conda](https://anaconda.org/conda-forge/pythreejs) (πŸ“₯ 510K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge autoviz + conda install -c conda-forge pythreejs + ``` +- [npm](https://www.npmjs.com/package/jupyter-threejs) (πŸ“₯ 3.7K / month Β· πŸ“¦ 11 Β· ⏱️ 20.02.2023): + ``` + npm install jupyter-threejs ```
openTSNE (πŸ₯‰26 Β· ⭐ 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3 @@ -1288,39 +1231,23 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 29K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2022): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 32K / month): ``` pip install opentsne ``` -- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 220K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 230K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge opentsne ```
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Plotly-Resampler (πŸ₯‰26 Β· ⭐ 810) - Visualize large time series data with plotly.py. MIT - -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 53 Β· πŸ“¦ 580 Β· πŸ“‹ 140 - 29% open Β· ⏱️ 04.10.2023): - - ``` - git clone https://github.com/predict-idlab/plotly-resampler - ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 300K / month Β· πŸ“¦ 5 Β· ⏱️ 29.06.2022): - ``` - pip install plotly-resampler - ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 29K Β· ⏱️ 11.08.2023): - ``` - conda install -c conda-forge plotly-resampler - ``` -
Chartify (πŸ₯‰25 Β· ⭐ 3.4K) - Python library that makes it easy for data scientists to create.. Apache-2 -- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 310 Β· πŸ“¦ 73 Β· πŸ“‹ 79 - 60% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 300 Β· πŸ“¦ 73 Β· πŸ“‹ 75 - 57% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2.2K / month Β· πŸ“¦ 10 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2.1K / month): ``` pip install chartify ``` @@ -1331,34 +1258,34 @@ _General-purpose and task-specific data visualization libraries._
Multicore-TSNE (πŸ₯‰25 Β· ⭐ 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 -- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 400 Β· πŸ“‹ 66 - 68% open Β· ⏱️ 26.05.2023): +- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 410 Β· πŸ“‹ 66 - 68% open Β· ⏱️ 26.05.2023): ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 29K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 30K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 28K Β· ⏱️ 28.09.2023): +- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 29K Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge multicore-tsne ```
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HiPlot (πŸ₯‰24 Β· ⭐ 2.6K) - HiPlot makes understanding high dimensional data easy. MIT +
Plotly-Resampler (πŸ₯‰25 Β· ⭐ 810) - Visualize large time series data with plotly.py. MIT -- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 310 Β· πŸ“‹ 92 - 20% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 53 Β· πŸ“¦ 600 Β· πŸ“‹ 130 - 29% open Β· ⏱️ 04.10.2023): ``` - git clone https://github.com/facebookresearch/hiplot + git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 25K / month Β· πŸ“¦ 15 Β· ⏱️ 05.07.2022): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 320K / month): ``` - pip install hiplot + pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 160K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 29K Β· ⏱️ 11.08.2023): ``` - conda install -c conda-forge hiplot + conda install -c conda-forge plotly-resampler ```
Pandas-Bokeh (πŸ₯‰24 Β· ⭐ 860 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT @@ -1368,7 +1295,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` -- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 32K / month Β· πŸ“¦ 12 Β· ⏱️ 11.04.2021): +- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 30K / month): ``` pip install pandas-bokeh ``` @@ -1380,7 +1307,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 11K / month Β· πŸ“¦ 83 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 12K / month Β· πŸ“¦ 83 Β· ⏱️ 10.02.2022): ``` pip install vega ``` @@ -1389,42 +1316,46 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge vega ```
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python-ternary (πŸ₯‰23 Β· ⭐ 650) - Ternary plotting library for python with matplotlib. MIT +
HiPlot (πŸ₯‰23 Β· ⭐ 2.6K) - HiPlot makes understanding high dimensional data easy. MIT -- [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“₯ 25 Β· πŸ“¦ 150 Β· πŸ“‹ 140 - 25% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 310 Β· πŸ“‹ 85 - 14% open Β· ⏱️ 19.07.2023): ``` - git clone https://github.com/marcharper/python-ternary + git clone https://github.com/facebookresearch/hiplot ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 37K / month Β· πŸ“¦ 24 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 24K / month): ``` - pip install python-ternary + pip install hiplot ``` -- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 78K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 160K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge python-ternary + conda install -c conda-forge hiplot ```
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Popmon (πŸ₯‰22 Β· ⭐ 470) - Monitor the stability of a Pandas or Spark dataframe. MIT +
python-ternary (πŸ₯‰23 Β· ⭐ 650) - Ternary plotting library for python with matplotlib. MIT -- [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 35 Β· πŸ“₯ 120 Β· πŸ“¦ 20 Β· πŸ“‹ 55 - 27% open Β· ⏱️ 18.07.2023): +- [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“₯ 25 Β· πŸ“¦ 150 Β· πŸ“‹ 140 - 25% open Β· ⏱️ 26.09.2023): ``` - git clone https://github.com/ing-bank/popmon + git clone https://github.com/marcharper/python-ternary + ``` +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 37K / month Β· πŸ“¦ 24 Β· ⏱️ 17.02.2021): ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 6.8K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): + pip install python-ternary ``` - pip install popmon +- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 78K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge python-ternary ```
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PDPbox (πŸ₯‰19 Β· ⭐ 780) - python partial dependence plot toolbox. MIT +
PDPbox (πŸ₯‰21 Β· ⭐ 780) - python partial dependence plot toolbox. MIT -- [GitHub](https://github.com/SauceCat/PDPbox) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“‹ 65 - 40% open Β· ⏱️ 05.06.2023): +- [GitHub](https://github.com/SauceCat/PDPbox) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 130 Β· πŸ“‹ 65 - 40% open Β· ⏱️ 05.06.2023): ``` git clone https://github.com/SauceCat/PDPbox ``` -- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 27K / month): +- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 25K / month Β· πŸ“¦ 26 Β· ⏱️ 14.03.2021): ``` pip install pdpbox ``` @@ -1433,6 +1364,18 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge pdpbox ```
+
Popmon (πŸ₯‰21 Β· ⭐ 470) - Monitor the stability of a Pandas or Spark dataframe. MIT + +- [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 35 Β· πŸ“₯ 120 Β· πŸ“¦ 20 Β· πŸ“‹ 55 - 27% open Β· ⏱️ 18.07.2023): + + ``` + git clone https://github.com/ing-bank/popmon + ``` +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 7.9K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): + ``` + pip install popmon + ``` +
ivis (πŸ₯‰18 Β· ⭐ 300 Β· πŸ’€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 39 Β· πŸ“¦ 30 Β· πŸ“‹ 59 - 5% open Β· ⏱️ 11.01.2023): @@ -1440,26 +1383,27 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 210 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 200 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): ``` pip install ivis ```
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Show 13 hidden projects... +
Show 14 hidden projects... - cartopy (πŸ₯ˆ34 Β· ⭐ 1.3K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 +- PyQtGraph (πŸ₯ˆ32 Β· ⭐ 3.4K) - Fast data visualization and GUI tools for scientific /.. ❗Unlicensed - Cufflinks (πŸ₯‰29 Β· ⭐ 2.9K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - HyperTools (πŸ₯‰26 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT -- PandasGUI (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 +- PandasGUI (πŸ₯‰23 Β· ⭐ 3K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 - pivottablejs (πŸ₯‰23 Β· ⭐ 600 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (πŸ₯‰21 Β· ⭐ 500 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT -- vegafusion (πŸ₯‰21 Β· ⭐ 270) - Serverside scaling for Vega and Altair visualizations. BSD-3 - PyWaffle (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Make Waffle Charts in Python. MIT +- vegafusion (πŸ₯‰20 Β· ⭐ 270) - Serverside scaling for Vega and Altair visualizations. BSD-3 - animatplot (πŸ₯‰18 Β· ⭐ 400 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT -- data-describe (πŸ₯‰17 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - pdvega (πŸ₯‰16 Β· ⭐ 350 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT - nx-altair (πŸ₯‰16 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT -- nptsne (πŸ₯‰12 Β· ⭐ 31 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2 +- data-describe (πŸ₯‰15 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data.. ❗Unlicensed +- nptsne (πŸ₯‰10 Β· ⭐ 31 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

@@ -1471,32 +1415,32 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡50 Β· ⭐ 110K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.2K Β· πŸ”€ 22K Β· πŸ“₯ 140 Β· πŸ“¦ 100K Β· πŸ“‹ 13K - 5% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.2K Β· πŸ”€ 22K Β· πŸ“₯ 140 Β· πŸ“¦ 110K Β· πŸ“‹ 13K - 5% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 18M / month Β· πŸ“¦ 2.3K Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 18M / month): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.4M Β· ⏱️ 27.09.2023): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.4M Β· ⏱️ 07.10.2023): ``` conda install -c conda-forge transformers ```
spaCy (πŸ₯‡44 Β· ⭐ 27K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 740 Β· πŸ”€ 4.2K Β· πŸ“¦ 71K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 740 Β· πŸ”€ 4.1K Β· πŸ“¦ 71K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 6.4M / month Β· πŸ“¦ 2.8K Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 6.6M / month): ``` pip install spacy ``` -- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 3.2M Β· ⏱️ 09.08.2023): +- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 3.2M Β· ⏱️ 10.10.2023): ``` conda install -c conda-forge spacy ``` @@ -1512,114 +1456,86 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install nltk ``` -- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.2M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.3M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge nltk ```
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gensim (πŸ₯‡41 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 - -- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.4K Β· πŸ“₯ 4.4K Β· πŸ“¦ 51K Β· πŸ“‹ 1.8K - 21% open Β· ⏱️ 01.10.2023): - - ``` - git clone https://github.com/RaRe-Technologies/gensim - ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4M / month Β· πŸ“¦ 3.1K Β· ⏱️ 24.08.2023): - ``` - pip install gensim - ``` -- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.1M Β· ⏱️ 24.08.2023): - ``` - conda install -c conda-forge gensim - ``` -
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Rasa (πŸ₯‡40 Β· ⭐ 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2 +
Rasa (πŸ₯‡41 Β· ⭐ 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2 -- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.4K Β· πŸ“¦ 3.7K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.4K Β· πŸ“¦ 3.7K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 120K / month Β· πŸ“¦ 66 Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 120K / month Β· πŸ“¦ 66 Β· ⏱️ 10.10.2023): ``` pip install rasa ```
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flair (πŸ₯‡38 Β· ⭐ 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT +
gensim (πŸ₯‡41 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 2.7K Β· πŸ“‹ 2.2K - 3% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.1K Β· πŸ“₯ 4.5K Β· πŸ“¦ 51K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 01.10.2023): ``` - git clone https://github.com/flairNLP/flair + git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 81K / month Β· πŸ“¦ 87 Β· ⏱️ 20.05.2022): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4M / month): ``` - pip install flair + pip install gensim ``` -- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 21K Β· ⏱️ 23.07.2023): +- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.2M Β· ⏱️ 24.08.2023): ``` - conda install -c conda-forge python-flair + conda install -c conda-forge gensim ```
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Tokenizers (πŸ₯‡38 Β· ⭐ 7.6K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +
Tokenizers (πŸ₯‡38 Β· ⭐ 7.7K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 630 Β· πŸ“₯ 32 Β· πŸ“¦ 44K Β· πŸ“‹ 840 - 31% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 630 Β· πŸ“₯ 33 Β· πŸ“¦ 44K Β· πŸ“‹ 840 - 31% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 13M / month Β· πŸ“¦ 300 Β· ⏱️ 07.09.2023): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 14M / month Β· πŸ“¦ 320 Β· ⏱️ 06.10.2023): ``` pip install tokenizers ``` -- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.3M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.3M Β· ⏱️ 10.10.2023): ``` conda install -c conda-forge tokenizers ```
fairseq (πŸ₯‡37 Β· ⭐ 28K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 6.1K Β· πŸ“₯ 320 Β· πŸ“¦ 2.1K Β· πŸ“‹ 4.1K - 26% open Β· ⏱️ 15.09.2023): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 6.1K Β· πŸ“₯ 320 Β· πŸ“¦ 2.1K Β· πŸ“‹ 4.1K - 26% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 600K / month Β· πŸ“¦ 64 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 550K / month Β· πŸ“¦ 64 Β· ⏱️ 27.06.2022): ``` pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 49K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 50K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge fairseq ```
haystack (πŸ₯‡37 Β· ⭐ 11K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.4K Β· πŸ“₯ 23 Β· πŸ“¦ 940 Β· πŸ“‹ 2.6K - 15% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.4K Β· πŸ“₯ 23 Β· πŸ“¦ 950 Β· πŸ“‹ 2.6K - 17% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 2.1K / month): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 2.2K / month Β· πŸ“¦ 87 Β· ⏱️ 03.07.2017): ``` pip install haystack ```
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spark-nlp (πŸ₯‡36 Β· ⭐ 3.4K) - State of the Art Natural Language Processing. Apache-2 - -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 670 Β· πŸ“¦ 340 Β· πŸ“‹ 820 - 4% open Β· ⏱️ 28.09.2023): - - ``` - git clone https://github.com/JohnSnowLabs/spark-nlp - ``` -- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 3.9M / month Β· πŸ“¦ 29 Β· ⏱️ 25.09.2023): - ``` - pip install spark-nlp - ``` -
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sentence-transformers (πŸ₯‡35 Β· ⭐ 12K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 +
sentence-transformers (πŸ₯‡36 Β· ⭐ 12K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.1K Β· πŸ“¦ 16K Β· πŸ“‹ 1.8K - 56% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.1K Β· πŸ“¦ 17K Β· πŸ“‹ 1.8K - 56% open Β· ⏱️ 20.09.2023): ``` git clone https://github.com/UKPLab/sentence-transformers @@ -1628,47 +1544,55 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install sentence-transformers ``` -- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 160K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 170K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sentence-transformers ```
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AllenNLP (πŸ₯‡35 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 +
NeMo (πŸ₯‡36 Β· ⭐ 8.1K) - NeMo: a toolkit for conversational AI. Apache-2 -- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.3K Β· πŸ“₯ 61 Β· πŸ“¦ 3.8K Β· πŸ“‹ 2.6K - 3% open Β· ⏱️ 22.11.2022): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.7K Β· πŸ“₯ 81K Β· πŸ“¦ 18 Β· πŸ“‹ 1.8K - 2% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/allenai/allennlp + git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 44K / month Β· πŸ“¦ 190 Β· ⏱️ 18.10.2022): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 43K / month): ``` - pip install allennlp + pip install nemo-toolkit ``` -- [Conda](https://anaconda.org/conda-forge/allennlp) (πŸ“₯ 120K Β· ⏱️ 16.06.2023): +
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spark-nlp (πŸ₯‡36 Β· ⭐ 3.5K) - State of the Art Natural Language Processing. Apache-2 + +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 670 Β· πŸ“¦ 340 Β· πŸ“‹ 830 - 4% open Β· ⏱️ 10.10.2023): + ``` - conda install -c conda-forge allennlp + git clone https://github.com/JohnSnowLabs/spark-nlp + ``` +- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 3.8M / month Β· πŸ“¦ 29 Β· ⏱️ 10.10.2023): + ``` + pip install spark-nlp ```
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ParlAI (πŸ₯‡35 Β· ⭐ 10K) - A framework for training and evaluating AI models on a variety of.. MIT +
ParlAI (πŸ₯ˆ35 Β· ⭐ 10K) - A framework for training and evaluating AI models on a variety of.. MIT -- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 2.1K Β· πŸ“¦ 210 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2K Β· πŸ“¦ 210 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 1.3K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 1.6K / month): ``` pip install parlai ```
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TextBlob (πŸ₯‡35 Β· ⭐ 8.7K Β· πŸ’€) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT +
TextBlob (πŸ₯ˆ35 Β· ⭐ 8.7K Β· πŸ’€) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT - [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 1.1K Β· πŸ“₯ 110 Β· πŸ“¦ 33K Β· πŸ“‹ 270 - 42% open Β· ⏱️ 11.03.2023): ``` git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 580K / month Β· πŸ“¦ 1.4K Β· ⏱️ 22.10.2021): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 600K / month Β· πŸ“¦ 1.4K Β· ⏱️ 22.10.2021): ``` pip install textblob ``` @@ -1677,9 +1601,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge textblob ```
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sentencepiece (πŸ₯‡35 Β· ⭐ 8.3K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 +
sentencepiece (πŸ₯ˆ35 Β· ⭐ 8.3K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1K Β· πŸ“₯ 31K Β· πŸ“¦ 42K Β· πŸ“‹ 660 - 4% open Β· ⏱️ 05.08.2023): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1K Β· πŸ“₯ 31K Β· πŸ“¦ 43K Β· πŸ“‹ 660 - 4% open Β· ⏱️ 05.08.2023): ``` git clone https://github.com/google/sentencepiece @@ -1688,87 +1612,75 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install sentencepiece ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 620K Β· ⏱️ 11.09.2023): +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 630K Β· ⏱️ 08.10.2023): ``` conda install -c conda-forge sentencepiece ```
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NeMo (πŸ₯‡35 Β· ⭐ 8.1K) - NeMo: a toolkit for conversational AI. Apache-2 +
TensorFlow Text (πŸ₯ˆ35 Β· ⭐ 1.1K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.8K Β· πŸ“₯ 78K Β· πŸ“¦ 16 Β· πŸ“‹ 1.8K - 5% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 300 Β· πŸ“¦ 5.9K Β· πŸ“‹ 230 - 28% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/NVIDIA/NeMo + git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 43K / month Β· πŸ“¦ 10 Β· ⏱️ 04.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.4M / month): ``` - pip install nemo-toolkit + pip install tensorflow-text ```
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stanza (πŸ₯‡35 Β· ⭐ 6.8K Β· πŸ“ˆ) - Stanford NLP Python library for tokenization, sentence.. Apache-2 +
fastText (πŸ₯ˆ34 Β· ⭐ 25K) - Library for fast text representation and classification. MIT -- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 890 Β· πŸ“¦ 2.1K Β· πŸ“‹ 820 - 9% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 4.5K Β· πŸ“¦ 5.1K Β· πŸ“‹ 1.1K - 42% open Β· ⏱️ 04.10.2023): ``` - git clone https://github.com/stanfordnlp/stanza - ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 130K / month Β· πŸ“¦ 90 Β· ⏱️ 03.10.2023): - ``` - pip install stanza - ``` -- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 7.2K Β· ⏱️ 16.06.2023): - ``` - conda install -c stanfordnlp stanza + git clone https://github.com/facebookresearch/fastText ``` -
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TensorFlow Text (πŸ₯‡35 Β· ⭐ 1.1K) - Making text a first-class citizen in TensorFlow. Apache-2 - -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 300 Β· πŸ“¦ 5.9K Β· πŸ“‹ 310 - 47% open Β· ⏱️ 11.09.2023): - +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.1M / month): ``` - git clone https://github.com/tensorflow/text + pip install fasttext ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.3M / month Β· πŸ“¦ 110 Β· ⏱️ 18.08.2023): +- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 65K Β· ⏱️ 26.09.2023): ``` - pip install tensorflow-text + conda install -c conda-forge fasttext ```
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fastText (πŸ₯ˆ34 Β· ⭐ 25K) - Library for fast text representation and classification. MIT +
AllenNLP (πŸ₯ˆ34 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 -- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 4.6K Β· πŸ“¦ 5K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.2K Β· πŸ“₯ 61 Β· πŸ“¦ 3.8K Β· πŸ“‹ 2.6K - 3% open Β· ⏱️ 22.11.2022): ``` - git clone https://github.com/facebookresearch/fastText + git clone https://github.com/allenai/allennlp ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.1M / month Β· πŸ“¦ 220 Β· ⏱️ 28.04.2020): +- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 44K / month): ``` - pip install fasttext + pip install allennlp ``` -- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 65K Β· ⏱️ 26.09.2023): +- [Conda](https://anaconda.org/conda-forge/allennlp) (πŸ“₯ 120K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge fasttext + conda install -c conda-forge allennlp ```
OpenNMT (πŸ₯ˆ34 Β· ⭐ 6.3K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 230 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 230 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 5.3K / month Β· πŸ“¦ 10 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 6.3K / month Β· πŸ“¦ 10 Β· ⏱️ 26.09.2023): ``` pip install OpenNMT-py ```
rubrix (πŸ₯ˆ34 Β· ⭐ 2.6K) - Argilla: the open-source data curation platform for LLMs. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 240 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.5K - 15% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 240 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.5K - 14% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 220 / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 210 / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` @@ -1777,30 +1689,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge rubrix ```
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jellyfish (πŸ₯ˆ33 Β· ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT +
litellm (πŸ₯ˆ33 Β· ⭐ 1.9K Β· 🐣) - Call all LLM APIs using the OpenAI format. Use Azure,.. MIT o t h e r s -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 7K Β· πŸ“‹ 130 - 4% open Β· ⏱️ 18.09.2023): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 510 - 26% open Β· ⏱️ 12.10.2023): ``` - git clone https://github.com/jamesturk/jellyfish - ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 2.3M / month Β· πŸ“¦ 440 Β· ⏱️ 18.09.2023): - ``` - pip install jellyfish + git clone https://github.com/BerriAI/litellm ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 700K Β· ⏱️ 25.09.2023): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 250K / month Β· πŸ“¦ 23 Β· ⏱️ 11.10.2023): ``` - conda install -c conda-forge jellyfish + pip install litellm ```
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snowballstemmer (πŸ₯ˆ33 Β· ⭐ 680) - Snowball compiler and stemming algorithms. BSD-3 +
snowballstemmer (πŸ₯ˆ33 Β· ⭐ 690) - Snowball compiler and stemming algorithms. BSD-3 -- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 170 Β· πŸ“¦ 4 Β· πŸ“‹ 87 - 35% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 170 Β· πŸ“¦ 4 Β· πŸ“‹ 87 - 35% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 10M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 11M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): ``` pip install snowballstemmer ``` @@ -1823,64 +1731,68 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
DeepPavlov (πŸ₯ˆ31 Β· ⭐ 6.4K) - An open source library for deep learning end-to-end dialog.. Apache-2 -- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 1.1K Β· πŸ“¦ 360 Β· πŸ“‹ 630 - 3% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 1.1K Β· πŸ“¦ 360 Β· πŸ“‹ 630 - 2% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 7.9K / month Β· πŸ“¦ 6 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 7.7K / month Β· πŸ“¦ 6 Β· ⏱️ 17.08.2023): ``` pip install deeppavlov ```
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litellm (πŸ₯ˆ31 Β· ⭐ 1.7K Β· 🐣) - Call all LLM APIs using the OpenAI format. Use Azure,.. MIT o t h e r s +
jellyfish (πŸ₯ˆ31 Β· ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 120 Β· πŸ“¦ 160 Β· πŸ“‹ 470 - 28% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 7.1K Β· πŸ“‹ 130 - 5% open Β· ⏱️ 18.09.2023): ``` - git clone https://github.com/BerriAI/litellm + git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 250K / month Β· πŸ“¦ 18 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 2.3M / month): ``` - pip install litellm + pip install jellyfish + ``` +- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 710K Β· ⏱️ 25.09.2023): + ``` + conda install -c conda-forge jellyfish ```
SciSpacy (πŸ₯ˆ31 Β· ⭐ 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 200 Β· πŸ“¦ 760 Β· πŸ“‹ 300 - 11% open Β· ⏱️ 30.09.2023): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 200 Β· πŸ“¦ 770 Β· πŸ“‹ 300 - 9% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 60K / month Β· πŸ“¦ 30 Β· ⏱️ 30.09.2023): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 63K / month): ``` pip install scispacy ```
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ftfy (πŸ₯ˆ30 Β· ⭐ 3.6K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT +
spacy-transformers (πŸ₯ˆ31 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 14K Β· πŸ“‹ 140 - 11% open Β· ⏱️ 25.10.2022): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“¦ 1.3K Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/rspeer/python-ftfy + git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 3.3M / month Β· πŸ“¦ 610 Β· ⏱️ 09.02.2022): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 360K / month): ``` - pip install ftfy + pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 270K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 23K Β· ⏱️ 12.10.2023): ``` - conda install -c conda-forge ftfy + conda install -c conda-forge spacy-transformers ```
TextDistance (πŸ₯ˆ30 Β· ⭐ 3.2K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 250 Β· πŸ“₯ 920 Β· πŸ“¦ 4.9K Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 240 Β· πŸ“₯ 920 Β· πŸ“¦ 5K Β· ⏱️ 28.09.2023): ``` git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 350K / month Β· πŸ“¦ 63 Β· ⏱️ 28.09.2023): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 370K / month): ``` pip install textdistance ``` @@ -1896,163 +1808,175 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dmlc/gluon-nlp ``` -- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 75K / month Β· πŸ“¦ 22 Β· ⏱️ 13.08.2020): +- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 76K / month Β· πŸ“¦ 22 Β· ⏱️ 13.08.2020): ``` pip install gluonnlp ```
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spacy-transformers (πŸ₯ˆ30 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy +
ftfy (πŸ₯ˆ29 Β· ⭐ 3.6K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 160 Β· πŸ“¦ 1.3K Β· ⏱️ 18.09.2023): +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 110 Β· πŸ“¦ 14K Β· πŸ“‹ 130 - 9% open Β· ⏱️ 25.10.2022): ``` - git clone https://github.com/explosion/spacy-transformers + git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 370K / month Β· πŸ“¦ 41 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 3.2M / month): ``` - pip install spacy-transformers + pip install ftfy ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 22K Β· ⏱️ 09.08.2023): +- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 270K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge spacy-transformers + conda install -c conda-forge ftfy ```
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Dedupe (πŸ₯ˆ29 Β· ⭐ 3.8K Β· πŸ’€) - A python library for accurate and scalable fuzzy matching, record.. MIT +
english-words (πŸ₯ˆ28 Β· ⭐ 9.4K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense -- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 520 Β· πŸ“¦ 290 Β· πŸ“‹ 800 - 9% open Β· ⏱️ 17.02.2023): +- [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 1.7K Β· πŸ“¦ 1 Β· πŸ“‹ 130 - 73% open Β· ⏱️ 08.11.2022): ``` - git clone https://github.com/dedupeio/dedupe - ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 67K / month Β· πŸ“¦ 49 Β· ⏱️ 17.02.2023): - ``` - pip install dedupe + git clone https://github.com/dwyl/english-words ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 40K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 650K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): ``` - conda install -c conda-forge dedupe + pip install english-words ```
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english-words (πŸ₯ˆ28 Β· ⭐ 9.4K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense +
Dedupe (πŸ₯ˆ28 Β· ⭐ 3.8K Β· πŸ’€) - A python library for accurate and scalable fuzzy matching, record.. MIT -- [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 1.7K Β· πŸ“¦ 1 Β· πŸ“‹ 130 - 73% open Β· ⏱️ 08.11.2022): +- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 510 Β· πŸ“¦ 300 Β· πŸ“‹ 800 - 8% open Β· ⏱️ 17.02.2023): ``` - git clone https://github.com/dwyl/english-words + git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 650K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 70K / month): ``` - pip install english-words + pip install dedupe + ``` +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 40K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge dedupe ```
Sumy (πŸ₯ˆ28 Β· ⭐ 3.3K) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 520 Β· πŸ“¦ 2.2K Β· πŸ“‹ 120 - 15% open Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 500 Β· πŸ“¦ 2.2K Β· πŸ“‹ 110 - 14% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 26K / month Β· πŸ“¦ 110 Β· ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 26K / month): ``` pip install sumy ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 6.7K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 6.8K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sumy ```
DeepKE (πŸ₯ˆ28 Β· ⭐ 2.4K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 560 Β· πŸ“¦ 19 Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 560 Β· πŸ“¦ 19 Β· πŸ“‹ 320 - 0% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 510 / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 430 / month Β· ⏱️ 21.09.2023): ``` pip install deepke ```
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PyTextRank (πŸ₯ˆ28 Β· ⭐ 2K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT +
PyTextRank (πŸ₯ˆ28 Β· ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT - [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 360 Β· πŸ“¦ 470 Β· πŸ“‹ 98 - 7% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 45K / month Β· πŸ“¦ 17 Β· ⏱️ 07.08.2023): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 49K / month Β· πŸ“¦ 17 Β· ⏱️ 07.08.2023): ``` pip install pytextrank ```
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Ciphey (πŸ₯‰27 Β· ⭐ 14K Β· πŸ’€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT +
qdrant (πŸ₯‰27 Β· ⭐ 13K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 -- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 850 Β· πŸ“‹ 320 - 17% open Β· ⏱️ 05.12.2022): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 730 Β· πŸ“₯ 1.5K Β· πŸ“‹ 740 - 18% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/Ciphey/Ciphey + git clone https://github.com/qdrant/qdrant ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 42K / month Β· ⏱️ 06.06.2021): +
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fastNLP (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 + +- [GitHub](https://github.com/fastnlp/fastNLP) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 460 Β· πŸ“₯ 74 Β· πŸ“¦ 160 Β· πŸ“‹ 220 - 28% open Β· ⏱️ 13.12.2022): + ``` - pip install ciphey + git clone https://github.com/fastnlp/fastNLP ``` -- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (πŸ“₯ 20K Β· ⭐ 14 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 22K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2022): ``` - docker pull remnux/ciphey + pip install fastnlp ```
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qdrant (πŸ₯‰27 Β· ⭐ 13K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 +
Ciphey (πŸ₯‰26 Β· ⭐ 14K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 720 Β· πŸ“₯ 1.4K Β· πŸ“‹ 710 - 17% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 850 Β· πŸ“‹ 320 - 17% open Β· ⏱️ 12.10.2023): ``` - git clone https://github.com/qdrant/qdrant + git clone https://github.com/Ciphey/Ciphey + ``` +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 44K / month Β· ⏱️ 06.06.2021): + ``` + pip install ciphey + ``` +- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (πŸ“₯ 21K Β· ⭐ 14 Β· ⏱️ 11.08.2023): + ``` + docker pull remnux/ciphey ```
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fastNLP (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 +
CLTK (πŸ₯‰26 Β· ⭐ 800 Β· πŸ’€) - The Classical Language Toolkit. MIT -- [GitHub](https://github.com/fastnlp/fastNLP) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 460 Β· πŸ“₯ 74 Β· πŸ“¦ 160 Β· πŸ“‹ 220 - 28% open Β· ⏱️ 13.12.2022): +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 42 Β· πŸ“¦ 250 Β· πŸ“‹ 560 - 6% open Β· ⏱️ 06.03.2023): ``` - git clone https://github.com/fastnlp/fastNLP + git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 22K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2022): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 970 / month): ``` - pip install fastnlp + pip install cltk ```
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happy-transformer (πŸ₯‰27 Β· ⭐ 470) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface +
happy-transformer (πŸ₯‰26 Β· ⭐ 470) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface - [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 60 Β· πŸ“¦ 200 Β· πŸ“‹ 130 - 14% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 3.7K / month): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 3.4K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` pip install happytransformer ```
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CLTK (πŸ₯‰26 Β· ⭐ 800 Β· πŸ’€) - The Classical Language Toolkit. MIT +
PyText (πŸ₯‰25 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 42 Β· πŸ“¦ 250 Β· πŸ“‹ 560 - 6% open Β· ⏱️ 06.03.2023): +- [GitHub](https://github.com/facebookresearch/pytext) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 820 Β· πŸ“₯ 350 Β· πŸ“¦ 18 Β· πŸ“‹ 220 - 66% open Β· ⏱️ 17.10.2022): ``` - git clone https://github.com/cltk/cltk + git clone https://github.com/facebookresearch/pytext ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 690 / month Β· πŸ“¦ 42 Β· ⏱️ 13.10.2022): +- [PyPi](https://pypi.org/project/pytext-nlp) (πŸ“₯ 160 / month Β· πŸ“¦ 1 Β· ⏱️ 08.06.2020): ``` - pip install cltk + pip install pytext-nlp ```
OpenPrompt (πŸ₯‰25 Β· ⭐ 3.8K) - An Open-Source Framework for Prompt-Learning. Apache-2 -- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 400 Β· πŸ“¦ 77 Β· πŸ“‹ 240 - 28% open Β· ⏱️ 06.05.2023): +- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 400 Β· πŸ“¦ 78 Β· πŸ“‹ 240 - 29% open Β· ⏱️ 06.05.2023): ``` git clone https://github.com/thunlp/OpenPrompt ``` -- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 2.3K / month): +- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 2.4K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): ``` pip install openprompt ``` @@ -2075,12 +1999,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
sense2vec (πŸ₯‰25 Β· ⭐ 1.5K) - Contextually-keyed word vectors. MIT -- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“₯ 59K Β· πŸ“¦ 280 Β· πŸ“‹ 110 - 18% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“₯ 59K Β· πŸ“¦ 290 Β· πŸ“‹ 110 - 18% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 1.7K / month): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 1.7K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): ``` pip install sense2vec ``` @@ -2089,74 +2013,50 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sense2vec ```
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PyText (πŸ₯‰24 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - -- [GitHub](https://github.com/facebookresearch/pytext) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 820 Β· πŸ“₯ 350 Β· πŸ“¦ 16 Β· πŸ“‹ 220 - 66% open Β· ⏱️ 17.10.2022): - - ``` - git clone https://github.com/facebookresearch/pytext - ``` -- [PyPi](https://pypi.org/project/pytext-nlp) (πŸ“₯ 110 / month Β· πŸ“¦ 1 Β· ⏱️ 08.06.2020): - ``` - pip install pytext-nlp - ``` -
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Texthero (πŸ₯‰24 Β· ⭐ 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT - -- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 230 Β· πŸ“₯ 120 Β· πŸ“‹ 140 - 55% open Β· ⏱️ 29.08.2023): - - ``` - git clone https://github.com/jbesomi/texthero - ``` -- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 11K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): - ``` - pip install texthero - ``` -
pytorch-nlp (πŸ₯‰24 Β· ⭐ 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 -- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 260 Β· πŸ“¦ 570 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): +- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 260 Β· πŸ“¦ 580 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): ``` git clone https://github.com/PetrochukM/PyTorch-NLP ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 5.2K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 4.8K / month): ``` pip install pytorch-nlp ```
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T5 (πŸ₯‰23 Β· ⭐ 5.5K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 +
Texthero (πŸ₯‰23 Β· ⭐ 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 730 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 230 Β· πŸ“₯ 120 Β· πŸ“‹ 120 - 46% open Β· ⏱️ 29.08.2023): ``` - git clone https://github.com/google-research/text-to-text-transfer-transformer + git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 11K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 11K / month): ``` - pip install t5 + pip install texthero ```
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promptsource (πŸ₯‰23 Β· ⭐ 2.1K) - Toolkit for creating, sharing and using natural language.. Apache-2 +
promptsource (πŸ₯‰23 Β· ⭐ 2.2K) - Toolkit for creating, sharing and using natural language.. Apache-2 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 280 Β· πŸ“¦ 61 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 290 Β· πŸ“¦ 61 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 27.07.2023): ``` git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 4.5K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 4K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): ``` pip install promptsource ```
YouTokenToMe (πŸ₯‰23 Β· ⭐ 910 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT -- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 78 Β· πŸ“¦ 530 Β· πŸ“‹ 63 - 57% open Β· ⏱️ 29.03.2023): +- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 78 Β· πŸ“¦ 530 Β· πŸ“‹ 59 - 54% open Β· ⏱️ 29.03.2023): ``` git clone https://github.com/vkcom/youtokentome ``` -- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 39K / month Β· πŸ“¦ 23 Β· ⏱️ 12.02.2020): +- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 39K / month): ``` pip install youtokentome ``` @@ -2165,38 +2065,38 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge youtokentome ```
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detoxify (πŸ₯‰23 Β· ⭐ 710) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
detoxify (πŸ₯‰23 Β· ⭐ 720) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 93 Β· πŸ“₯ 290K Β· πŸ“¦ 400 Β· πŸ“‹ 55 - 56% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 94 Β· πŸ“₯ 290K Β· πŸ“¦ 410 Β· πŸ“‹ 56 - 57% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 26K / month): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 26K / month Β· πŸ“¦ 10 Β· ⏱️ 19.12.2022): ``` pip install detoxify ```
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finetune (πŸ₯‰23 Β· ⭐ 690) - Scikit-learn style model finetuning for NLP. MPL-2.0 +
T5 (πŸ₯‰22 Β· ⭐ 5.5K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 77 Β· πŸ“¦ 11 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 720 Β· πŸ“‹ 400 - 14% open Β· ⏱️ 02.10.2023): ``` - git clone https://github.com/IndicoDataSolutions/finetune + git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 300 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 13K / month): ``` - pip install finetune + pip install t5 ```
jiant (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - jiant is an nlp toolkit. MIT -- [GitHub](https://github.com/nyu-mll/jiant) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 280 Β· πŸ“¦ 3 Β· πŸ“‹ 550 - 12% open Β· ⏱️ 17.10.2022): +- [GitHub](https://github.com/nyu-mll/jiant) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 290 Β· πŸ“¦ 3 Β· πŸ“‹ 550 - 12% open Β· ⏱️ 17.10.2022): ``` git clone https://github.com/nyu-mll/jiant ``` -- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 58 / month Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 56 / month Β· ⏱️ 10.05.2021): ``` pip install jiant ``` @@ -2208,11 +2108,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 380 / month Β· πŸ“¦ 2 Β· ⏱️ 12.06.2017): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 390 / month Β· πŸ“¦ 2 Β· ⏱️ 12.06.2017): ``` pip install sockeye ```
+
finetune (πŸ₯‰22 Β· ⭐ 690) - Scikit-learn style model finetuning for NLP. MPL-2.0 + +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 77 Β· πŸ“¦ 11 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 29.09.2023): + + ``` + git clone https://github.com/IndicoDataSolutions/finetune + ``` +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 240 / month): + ``` + pip install finetune + ``` +
small-text (πŸ₯‰22 Β· ⭐ 490) - Active Learning for Text Classification in Python. MIT - [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 52 Β· πŸ“¦ 21 Β· πŸ“‹ 40 - 22% open Β· ⏱️ 19.08.2023): @@ -2224,23 +2136,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install small-text ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 4.4K Β· ⏱️ 19.08.2023): +- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 4.5K Β· ⏱️ 19.08.2023): ``` conda install -c conda-forge small-text ```
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fast-bert (πŸ₯‰21 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 - -- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 250 - 62% open Β· ⏱️ 27.07.2023): - - ``` - git clone https://github.com/utterworks/fast-bert - ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 27.07.2023): - ``` - pip install fast-bert - ``` -
lightseq (πŸ₯‰20 Β· ⭐ 2.9K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 - [GitHub](https://github.com/bytedance/lightseq) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 300 Β· πŸ“₯ 670 Β· πŸ“‹ 280 - 60% open Β· ⏱️ 10.05.2023): @@ -2248,31 +2148,43 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 3.7K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 3K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): ``` pip install lightseq ```
NLP Architect (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 -- [GitHub](https://github.com/IntelLabs/nlp-architect) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 450 Β· πŸ“¦ 9 Β· πŸ“‹ 130 - 16% open Β· ⏱️ 07.11.2022): +- [GitHub](https://github.com/IntelLabs/nlp-architect) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 440 Β· πŸ“¦ 9 Β· πŸ“‹ 130 - 11% open Β· ⏱️ 07.11.2022): ``` git clone https://github.com/IntelLabs/nlp-architect ``` -- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 71 / month Β· ⏱️ 12.04.2020): +- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 83 / month): ``` pip install nlp-architect ```
+
fast-bert (πŸ₯‰20 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 + +- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 330 Β· πŸ“‹ 250 - 61% open Β· ⏱️ 27.07.2023): + + ``` + git clone https://github.com/utterworks/fast-bert + ``` +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1K / month): + ``` + pip install fast-bert + ``` +
textaugment (πŸ₯‰19 Β· ⭐ 340) - TextAugment: Text Augmentation Library. MIT -- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 56 Β· πŸ“₯ 61 Β· πŸ“¦ 63 Β· πŸ“‹ 22 - 40% open Β· ⏱️ 12.09.2023): +- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 56 Β· πŸ“₯ 61 Β· πŸ“¦ 64 Β· πŸ“‹ 22 - 40% open Β· ⏱️ 12.09.2023): ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.7K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.6K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): ``` pip install textaugment ``` @@ -2284,7 +2196,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 720 / month Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 550 / month Β· ⏱️ 20.09.2023): ``` pip install uform ``` @@ -2299,7 +2211,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TextBox (πŸ₯‰16 Β· ⭐ 1K) - TextBox 2.0 is a text generation library with pre-trained language models. MIT -- [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 5 Β· πŸ“‹ 69 - 4% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 5 Β· πŸ“‹ 70 - 4% open Β· ⏱️ 18.05.2023): ``` git clone https://github.com/RUCAIBox/TextBox @@ -2309,36 +2221,38 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install textbox ```
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VizSeq (πŸ₯‰13 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰12 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT -- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 57 Β· πŸ“¦ 7 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 57 Β· πŸ“¦ 7 Β· πŸ“‹ 15 - 40% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 32 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 33 / month): ``` pip install vizseq ```
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Show 39 hidden projects... +
Show 41 hidden projects... -- ChatterBot (πŸ₯‡35 Β· ⭐ 14K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 +- flair (πŸ₯‡36 Β· ⭐ 13K) - A very simple framework for state-of-the-art Natural Language.. ❗Unlicensed +- ChatterBot (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 - fuzzywuzzy (πŸ₯ˆ33 Β· ⭐ 9K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 +- stanza (πŸ₯ˆ33 Β· ⭐ 6.8K) - Stanford NLP Python library for tokenization, sentence.. ❗Unlicensed - nlpaug (πŸ₯ˆ29 Β· ⭐ 4.1K Β· πŸ’€) - Data augmentation for NLP. MIT - textacy (πŸ₯ˆ29 Β· ⭐ 2.1K) - NLP, before and after spaCy. ❗Unlicensed -- langid (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 +- underthesea (πŸ₯ˆ28 Β· ⭐ 1.2K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - flashtext (πŸ₯‰27 Β· ⭐ 5.5K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - vaderSentiment (πŸ₯‰27 Β· ⭐ 4.1K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT -- polyglot (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - FARM (πŸ₯‰27 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 -- underthesea (πŸ₯‰27 Β· ⭐ 1.2K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - Snips NLU (πŸ₯‰25 Β· ⭐ 3.8K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 -- neuralcoref (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT +- neuralcoref (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - pySBD (πŸ₯‰25 Β· ⭐ 660 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - whoosh (πŸ₯‰25 Β· ⭐ 460 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT -- MatchZoo (πŸ₯‰24 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 +- polyglot (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗Unlicensed +- langid (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. ❗Unlicensed +- MatchZoo (πŸ₯‰23 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 - DeepMatcher (πŸ₯‰22 Β· ⭐ 4.8K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 - gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT @@ -2348,18 +2262,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - pyfasttext (πŸ₯‰20 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - numerizer (πŸ₯‰20 Β· ⭐ 210) - A Python module to convert natural language numerics into ints and.. MIT -- textpipe (πŸ₯‰18 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT -- NeuroNER (πŸ₯‰17 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT +- fastT5 (πŸ₯‰18 Β· ⭐ 500 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - nboost (πŸ₯‰17 Β· ⭐ 670 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 -- fastT5 (πŸ₯‰17 Β· ⭐ 500 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - Camphr (πŸ₯‰17 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - skift (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT +- textpipe (πŸ₯‰16 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT +- NeuroNER (πŸ₯‰15 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - Entity Linker solution. MIT - Translate (πŸ₯‰15 Β· ⭐ 800 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 - Headliner (πŸ₯‰14 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT -- NeuralQA (πŸ₯‰14 Β· ⭐ 220 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - TransferNLP (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT - ONNX-T5 (πŸ₯‰13 Β· ⭐ 240 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 +- NeuralQA (πŸ₯‰13 Β· ⭐ 220 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - textvec (πŸ₯‰13 Β· ⭐ 190 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT - spacy-dbpedia-spotlight (πŸ₯‰12 Β· ⭐ 91 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy
@@ -2373,72 +2287,72 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡47 Β· ⭐ 11K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.4M Β· πŸ“‹ 2.9K - 3% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 1.9K Β· πŸ“¦ 1.4M Β· πŸ“‹ 2.9K - 2% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 66M / month Β· πŸ“¦ 67K Β· ⏱️ 15.09.2023): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 66M / month): ``` pip install Pillow ``` -- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 33M Β· ⏱️ 03.10.2023): +- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 34M Β· ⏱️ 03.10.2023): ``` conda install -c conda-forge pillow ```
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torchvision (πŸ₯‡42 Β· ⭐ 15K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +
PyTorch Image Models (πŸ₯‡40 Β· ⭐ 27K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 6.8K Β· πŸ“₯ 31K Β· πŸ“¦ 16 Β· πŸ“‹ 3.2K - 29% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.2K Β· πŸ“₯ 5.6M Β· πŸ“¦ 17K Β· πŸ“‹ 810 - 8% open Β· ⏱️ 05.10.2023): ``` - git clone https://github.com/pytorch/vision + git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 7.3M / month Β· πŸ“¦ 4.7K Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.4M / month): ``` - pip install torchvision + pip install timm ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 870K Β· ⏱️ 02.10.2023): +- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 100K Β· ⏱️ 05.09.2023): ``` - conda install -c conda-forge torchvision + conda install -c conda-forge timm ```
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PyTorch Image Models (πŸ₯‡40 Β· ⭐ 27K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 +
MMDetection (πŸ₯‡40 Β· ⭐ 26K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.3K Β· πŸ“₯ 5.5M Β· πŸ“¦ 17K Β· πŸ“‹ 800 - 8% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 9K Β· πŸ“¦ 1.8K Β· πŸ“‹ 7.6K - 13% open Β· ⏱️ 12.10.2023): ``` - git clone https://github.com/rwightman/pytorch-image-models - ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.6M / month Β· πŸ“¦ 290 Β· ⏱️ 02.09.2023): - ``` - pip install timm + git clone https://github.com/open-mmlab/mmdetection ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 98K Β· ⏱️ 05.09.2023): +- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 150K / month Β· πŸ“¦ 28 Β· ⏱️ 12.10.2023): ``` - conda install -c conda-forge timm + pip install mmdet ```
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MMDetection (πŸ₯‡38 Β· ⭐ 26K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 +
torchvision (πŸ₯‡38 Β· ⭐ 15K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 9K Β· πŸ“¦ 1.8K Β· πŸ“‹ 7.5K - 13% open Β· ⏱️ 30.06.2023): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 6.6K Β· πŸ“₯ 32K Β· πŸ“¦ 18 Β· πŸ“‹ 3K - 24% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/open-mmlab/mmdetection + git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 160K / month Β· πŸ“¦ 27 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 8.1M / month): ``` - pip install mmdet + pip install torchvision + ``` +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 880K Β· ⏱️ 02.10.2023): + ``` + conda install -c conda-forge torchvision ```
Kornia (πŸ₯‡38 Β· ⭐ 8.7K) - Computer Vision and Robotics Library for AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 860 Β· πŸ“₯ 840 Β· πŸ“¦ 6.5K Β· πŸ“‹ 840 - 30% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 870 Β· πŸ“₯ 840 Β· πŸ“¦ 6.6K Β· πŸ“‹ 840 - 29% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.2M / month Β· πŸ“¦ 110 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.1M / month Β· πŸ“¦ 110 Β· ⏱️ 02.08.2023): ``` pip install kornia ``` @@ -2449,40 +2363,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well
imageio (πŸ₯‡38 Β· ⭐ 1.3K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 270 Β· πŸ“₯ 860 Β· πŸ“¦ 100K Β· πŸ“‹ 570 - 16% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 270 Β· πŸ“₯ 860 Β· πŸ“¦ 100K Β· πŸ“‹ 570 - 15% open Β· ⏱️ 02.10.2023): ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 17M / month Β· πŸ“¦ 3K Β· ⏱️ 02.10.2023): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 17M / month): ``` pip install imageio ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 5.7M Β· ⏱️ 12.06.2023): +- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 5.7M Β· ⏱️ 09.10.2023): ``` conda install -c conda-forge imageio ```
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InsightFace (πŸ₯ˆ37 Β· ⭐ 18K Β· πŸ“ˆ) - State-of-the-art 2D and 3D Face Analysis Project. MIT - -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 4.7K Β· πŸ“₯ 640K Β· πŸ“¦ 1K Β· πŸ“‹ 2.3K - 41% open Β· ⏱️ 10.09.2023): - - ``` - git clone https://github.com/deepinsight/insightface - ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 420K / month Β· πŸ“¦ 11 Β· ⏱️ 17.12.2022): - ``` - pip install insightface - ``` -
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MoviePy (πŸ₯ˆ36 Β· ⭐ 11K) - Video editing with Python. MIT +
MoviePy (πŸ₯ˆ37 Β· ⭐ 11K) - Video editing with Python. MIT - [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.4K Β· πŸ“¦ 29K Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 700K / month Β· πŸ“¦ 930 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 690K / month): ``` pip install moviepy ``` @@ -2493,12 +2395,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Albumentations (πŸ₯ˆ35 Β· ⭐ 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 18K Β· πŸ“‹ 800 - 46% open Β· ⏱️ 30.09.2023): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 18K Β· πŸ“‹ 790 - 46% open Β· ⏱️ 30.09.2023): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1M / month Β· πŸ“¦ 300 Β· ⏱️ 10.06.2023): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 990K / month): ``` pip install albumentations ``` @@ -2530,27 +2432,15 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 790K / month Β· πŸ“¦ 710 Β· ⏱️ 05.01.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 820K / month Β· πŸ“¦ 710 Β· ⏱️ 05.01.2023): ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 30K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 31K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge wand ```
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opencv-python (πŸ₯ˆ33 Β· ⭐ 3.7K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT - -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 740 Β· πŸ“‹ 710 - 10% open Β· ⏱️ 27.09.2023): - - ``` - git clone https://github.com/opencv/opencv-python - ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 11M / month Β· πŸ“¦ 11K Β· ⏱️ 28.09.2023): - ``` - pip install opencv-python - ``` -
PaddleSeg (πŸ₯ˆ32 Β· ⭐ 7.6K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.5K Β· πŸ“¦ 1K Β· πŸ“‹ 1.9K - 16% open Β· ⏱️ 28.09.2023): @@ -2558,59 +2448,55 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 1.9K / month): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 1.9K / month Β· πŸ“¦ 4 Β· ⏱️ 30.11.2022): ``` pip install paddleseg ```
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ImageHash (πŸ₯ˆ31 Β· ⭐ 2.8K) - A Python Perceptual Image Hashing Module. BSD-2 +
doctr (πŸ₯ˆ32 Β· ⭐ 2.2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 11K Β· πŸ“‹ 120 - 7% open Β· ⏱️ 05.08.2023): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 280 Β· πŸ“₯ 1.9M Β· πŸ“¦ 200 Β· πŸ“‹ 270 - 14% open Β· ⏱️ 12.10.2023): ``` - git clone https://github.com/JohannesBuchner/imagehash - ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.4M / month Β· πŸ“¦ 380 Β· ⏱️ 28.09.2022): - ``` - pip install ImageHash + git clone https://github.com/mindee/doctr ``` -- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 340K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 12K / month Β· πŸ“¦ 3 Β· ⏱️ 09.09.2023): ``` - conda install -c conda-forge imagehash + pip install python-doctr ```
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lightly (πŸ₯ˆ31 Β· ⭐ 2.5K) - A python library for self-supervised learning on images. MIT +
deepface (πŸ₯ˆ31 Β· ⭐ 7.6K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“¦ 170 Β· πŸ“‹ 470 - 19% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 1.5K Β· πŸ“¦ 2K Β· πŸ“‹ 780 - 1% open Β· ⏱️ 01.10.2023): ``` - git clone https://github.com/lightly-ai/lightly + git clone https://github.com/serengil/deepface ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 26K / month Β· πŸ“¦ 5 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 43K / month Β· πŸ“¦ 14 Β· ⏱️ 24.01.2023): ``` - pip install lightly + pip install deepface ```
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doctr (πŸ₯ˆ31 Β· ⭐ 2.1K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 +
lightly (πŸ₯ˆ31 Β· ⭐ 2.5K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 280 Β· πŸ“₯ 1.9M Β· πŸ“¦ 190 Β· πŸ“‹ 270 - 14% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“¦ 170 Β· πŸ“‹ 470 - 18% open Β· ⏱️ 05.10.2023): ``` - git clone https://github.com/mindee/doctr + git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 11K / month Β· πŸ“¦ 3 Β· ⏱️ 09.09.2023): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 36K / month Β· πŸ“¦ 5 Β· ⏱️ 04.10.2023): ``` - pip install python-doctr + pip install lightly ```
vit-pytorch (πŸ₯ˆ30 Β· ⭐ 15K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 2.5K Β· πŸ“¦ 320 Β· πŸ“‹ 240 - 46% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.5K Β· πŸ“¦ 320 Β· πŸ“‹ 240 - 46% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 06.10.2023): ``` pip install vit-pytorch ``` @@ -2622,54 +2508,58 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 720 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 690 / month): ``` pip install paddledet ```
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imageai (πŸ₯ˆ30 Β· ⭐ 8.1K) - A python library built to empower developers to build applications and.. MIT +
vidgear (πŸ₯ˆ30 Β· ⭐ 3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.1K Β· πŸ“₯ 880K Β· πŸ“¦ 1.4K Β· πŸ“‹ 740 - 39% open Β· ⏱️ 26.08.2023): +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 230 Β· πŸ“₯ 930 Β· πŸ“¦ 460 Β· πŸ“‹ 270 - 1% open Β· ⏱️ 10.09.2023): ``` - git clone https://github.com/OlafenwaMoses/ImageAI - ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 6.2K / month Β· πŸ“¦ 18 Β· ⏱️ 02.01.2023): - ``` - pip install imageai + git clone https://github.com/abhiTronix/vidgear ``` -- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 6.4K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 16K / month Β· πŸ“¦ 9 Β· ⏱️ 10.09.2023): ``` - conda install -c conda-forge imageai + pip install vidgear ```
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vidgear (πŸ₯ˆ30 Β· ⭐ 3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 +
ImageHash (πŸ₯ˆ30 Β· ⭐ 2.8K) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 230 Β· πŸ“₯ 920 Β· πŸ“¦ 460 Β· πŸ“‹ 270 - 1% open Β· ⏱️ 10.09.2023): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 11K Β· πŸ“‹ 120 - 5% open Β· ⏱️ 05.08.2023): ``` - git clone https://github.com/abhiTronix/vidgear + git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 20K / month Β· πŸ“¦ 9 Β· ⏱️ 10.09.2023): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.4M / month): ``` - pip install vidgear + pip install ImageHash + ``` +- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 340K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge imagehash ```
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deepface (πŸ₯‰29 Β· ⭐ 7.5K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +
imageai (πŸ₯ˆ29 Β· ⭐ 8.1K) - A python library built to empower developers to build applications and.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.9K Β· πŸ“‹ 770 - 1% open Β· ⏱️ 01.10.2023): +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.1K Β· πŸ“₯ 880K Β· πŸ“¦ 1.4K Β· πŸ“‹ 730 - 38% open Β· ⏱️ 26.08.2023): ``` - git clone https://github.com/serengil/deepface + git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 32K / month): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 6.6K / month): ``` - pip install deepface + pip install imageai + ``` +- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 6.5K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge imageai ```
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Face Alignment (πŸ₯‰29 Β· ⭐ 6.5K) - 2D and 3D Face alignment library build using pytorch. BSD-3 +
Face Alignment (πŸ₯ˆ29 Β· ⭐ 6.5K) - 2D and 3D Face alignment library build using pytorch. BSD-3 -- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 16 Β· πŸ“‹ 310 - 24% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 18 Β· πŸ“‹ 310 - 24% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/1adrianb/face-alignment @@ -2681,7 +2571,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
GluonCV (πŸ₯‰28 Β· ⭐ 5.6K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 -- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 16 Β· πŸ“‹ 840 - 7% open Β· ⏱️ 19.01.2023): +- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 18 Β· πŸ“‹ 840 - 7% open Β· ⏱️ 19.01.2023): ``` git clone https://github.com/dmlc/gluon-cv @@ -2693,24 +2583,36 @@ _Libraries for image & video processing, manipulation, and augmentation as well
CellProfiler (πŸ₯‰28 Β· ⭐ 800) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“₯ 5.8K Β· πŸ“¦ 20 Β· πŸ“‹ 3.2K - 8% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“₯ 5.9K Β· πŸ“¦ 20 Β· πŸ“‹ 3.2K - 8% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 560 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 550 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): ``` pip install cellprofiler ```
+
opencv-python (πŸ₯‰27 Β· ⭐ 3.8K Β· πŸ“‰) - Automated CI toolchain to produce precompiled opencv-python,.. MIT + +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 720 Β· πŸ“‹ 700 - 9% open Β· ⏱️ 27.09.2023): + + ``` + git clone https://github.com/opencv/opencv-python + ``` +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 11M / month): + ``` + pip install opencv-python + ``` +
sahi (πŸ₯‰27 Β· ⭐ 3.1K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 450 Β· πŸ“₯ 18K Β· πŸ“¦ 660 Β· ⏱️ 26.08.2023): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 450 Β· πŸ“₯ 19K Β· πŸ“¦ 670 Β· ⏱️ 26.08.2023): ``` git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 150K / month Β· πŸ“¦ 9 Β· ⏱️ 25.06.2022): +- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 130K / month Β· πŸ“¦ 9 Β· ⏱️ 25.06.2022): ``` pip install sahi ``` @@ -2735,26 +2637,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge mahotas ```
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Augmentor (πŸ₯‰26 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT - -- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 870 Β· πŸ“¦ 650 Β· πŸ“‹ 210 - 64% open Β· ⏱️ 29.03.2023): - - ``` - git clone https://github.com/mdbloice/Augmentor - ``` -- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 11K / month Β· πŸ“¦ 29 Β· ⏱️ 27.04.2022): - ``` - pip install Augmentor - ``` -
facenet-pytorch (πŸ₯‰26 Β· ⭐ 3.8K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 800 Β· πŸ“₯ 680K Β· πŸ“¦ 1.3K Β· πŸ“‹ 170 - 36% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 800 Β· πŸ“₯ 690K Β· πŸ“¦ 1.3K Β· πŸ“‹ 170 - 36% open Β· ⏱️ 20.09.2023): ``` git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 26K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 25K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): ``` pip install facenet-pytorch ``` @@ -2766,38 +2656,62 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 92K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 93K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): ``` pip install pytorchvideo ```
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Norfair (πŸ₯‰25 Β· ⭐ 2.1K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 +
Norfair (πŸ₯‰25 Β· ⭐ 2.2K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 - [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 210 Β· πŸ“₯ 290 Β· πŸ“¦ 130 Β· πŸ“‹ 130 - 4% open Β· ⏱️ 15.05.2023): ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 5.3K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 5.4K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): ``` pip install norfair ```
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Augmentor (πŸ₯‰24 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT + +- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 840 Β· πŸ“¦ 650 Β· πŸ“‹ 190 - 61% open Β· ⏱️ 29.03.2023): + + ``` + git clone https://github.com/mdbloice/Augmentor + ``` +- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 11K / month): + ``` + pip install Augmentor + ``` +
Image Deduplicator (πŸ₯‰24 Β· ⭐ 4.7K) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 420 Β· πŸ“¦ 63 Β· πŸ“‹ 140 - 35% open Β· ⏱️ 28.04.2023): +- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 420 Β· πŸ“¦ 64 Β· πŸ“‹ 140 - 35% open Β· ⏱️ 28.04.2023): ``` git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 2K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 2.2K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): ``` pip install imagededup ```
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kubric (πŸ₯‰24 Β· ⭐ 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2 + +- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 180 Β· πŸ“¦ 3 Β· πŸ“‹ 180 - 30% open Β· ⏱️ 12.10.2023): + + ``` + git clone https://github.com/google-research/kubric + ``` +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 5.2K / month Β· ⏱️ 12.10.2023): + ``` + pip install kubric-nightly + ``` +
pyvips (πŸ₯‰24 Β· ⭐ 540) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 48 Β· πŸ“¦ 600 Β· πŸ“‹ 380 - 41% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 48 Β· πŸ“¦ 600 Β· πŸ“‹ 380 - 41% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/libvips/pyvips @@ -2806,35 +2720,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install pyvips ``` -- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 67K Β· ⏱️ 26.09.2023): +- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 68K Β· ⏱️ 26.09.2023): ``` conda install -c conda-forge pyvips ```
MMF (πŸ₯‰23 Β· ⭐ 5.3K) - A modular framework for vision & language multimodal research from.. BSD-3 -- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“¦ 14 Β· πŸ“‹ 780 - 30% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 880 Β· πŸ“¦ 14 Β· πŸ“‹ 780 - 30% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 180 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 210 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ```
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kubric (πŸ₯‰23 Β· ⭐ 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2 - -- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 180 Β· πŸ“¦ 3 Β· πŸ“‹ 180 - 30% open Β· ⏱️ 26.09.2023): - - ``` - git clone https://github.com/google-research/kubric - ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 3.8K / month Β· ⏱️ 05.10.2023): - ``` - pip install kubric-nightly - ``` -
icevision (πŸ₯‰23 Β· ⭐ 830 Β· πŸ’€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2 - [GitHub](https://github.com/airctic/icevision) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 140 Β· πŸ“‹ 570 - 10% open Β· ⏱️ 07.12.2022): @@ -2842,19 +2744,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 5.2K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 5.1K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): ``` pip install icevision ```
vissl (πŸ₯‰22 Β· ⭐ 3.1K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT -- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 320 Β· πŸ“¦ 29 Β· πŸ“‹ 180 - 42% open Β· ⏱️ 25.08.2023): +- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 320 Β· πŸ“¦ 30 Β· πŸ“‹ 180 - 42% open Β· ⏱️ 25.08.2023): ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 190 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 200 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ``` @@ -2866,35 +2768,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 4.3K / month Β· πŸ“¦ 8 Β· ⏱️ 03.12.2021): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 4.5K / month Β· πŸ“¦ 8 Β· ⏱️ 03.12.2021): ``` pip install tensorflow-graphics ```
ffcv (πŸ₯‰22 Β· ⭐ 2.6K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“¦ 30 Β· πŸ“‹ 250 - 34% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“¦ 31 Β· πŸ“‹ 250 - 34% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 980 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ```
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pycls (πŸ₯‰22 Β· ⭐ 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT - -- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“¦ 16 Β· πŸ“‹ 81 - 30% open Β· ⏱️ 26.08.2023): - - ``` - git clone https://github.com/facebookresearch/pycls - ``` -- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 110K / month Β· ⏱️ 05.09.2020): - ``` - pip install pycls - ``` -
Classy Vision (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT - [GitHub](https://github.com/facebookresearch/ClassyVision) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 280 Β· πŸ“‹ 120 - 45% open Β· ⏱️ 23.03.2023): @@ -2902,7 +2792,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/ClassyVision ``` -- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 2.6K / month Β· πŸ“¦ 4 Β· ⏱️ 21.03.2023): +- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 2.2K / month Β· πŸ“¦ 4 Β· ⏱️ 21.03.2023): ``` pip install classy_vision ``` @@ -2913,22 +2803,22 @@ _Libraries for image & video processing, manipulation, and augmentation as well
DEβ«ΆTR (πŸ₯‰21 Β· ⭐ 12K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 -- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 2.1K Β· πŸ“¦ 16 Β· πŸ“‹ 510 - 44% open Β· ⏱️ 07.02.2023): +- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 2.1K Β· πŸ“¦ 18 Β· πŸ“‹ 510 - 44% open Β· ⏱️ 07.02.2023): ``` git clone https://github.com/facebookresearch/detr ```
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PySlowFast (πŸ₯‰20 Β· ⭐ 5.9K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 +
pycls (πŸ₯‰21 Β· ⭐ 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 14 Β· πŸ“‹ 630 - 56% open Β· ⏱️ 26.08.2023): +- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“¦ 16 Β· πŸ“‹ 80 - 30% open Β· ⏱️ 26.08.2023): ``` - git clone https://github.com/facebookresearch/SlowFast + git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 11 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 49K / month): ``` - pip install pyslowfast + pip install pycls ```
image-match (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. Apache-2 @@ -2936,37 +2826,50 @@ _Libraries for image & video processing, manipulation, and augmentation as well - [GitHub](https://github.com/rhsimplex/image-match) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 400 Β· πŸ“‹ 110 - 57% open Β· ⏱️ 06.12.2022): ``` - git clone https://github.com/ProvenanceLabs/image-match + git clone https://github.com/ProvenanceLabs/image-match + ``` +- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 680 / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2017): + ``` + pip install image_match + ``` +
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PySlowFast (πŸ₯‰19 Β· ⭐ 5.9K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 + +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 14 Β· πŸ“‹ 630 - 56% open Β· ⏱️ 26.08.2023): + + ``` + git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 760 / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2017): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 11 / month): ``` - pip install image_match + pip install pyslowfast ```
scenic (πŸ₯‰19 Β· ⭐ 2.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 -- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 340 Β· πŸ“‹ 250 - 59% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 340 Β· πŸ“‹ 250 - 58% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/google-research/scenic ```
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Show 20 hidden projects... +
Show 21 hidden projects... - scikit-image (πŸ₯‡42 Β· ⭐ 5.6K) - Image processing in Python. ❗Unlicensed +- glfw (πŸ₯ˆ35 Β· ⭐ 11K Β· πŸ“ˆ) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - imgaug (πŸ₯ˆ34 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT -- Face Recognition (πŸ₯ˆ32 Β· ⭐ 49K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT -- glfw (πŸ₯ˆ32 Β· ⭐ 11K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib -- PyTorch3D (πŸ₯ˆ30 Β· ⭐ 7.7K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed -- imutils (πŸ₯ˆ30 Β· ⭐ 4.4K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT +- InsightFace (πŸ₯ˆ33 Β· ⭐ 18K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed +- Face Recognition (πŸ₯ˆ31 Β· ⭐ 50K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT +- PyTorch3D (πŸ₯ˆ29 Β· ⭐ 7.7K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed +- imutils (πŸ₯ˆ29 Β· ⭐ 4.4K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - layout-parser (πŸ₯‰27 Β· ⭐ 4K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - mtcnn (πŸ₯‰27 Β· ⭐ 2K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT +- segmentation_models (πŸ₯‰25 Β· ⭐ 4.4K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT - Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2K) - The friendly PIL fork. ❗️PIL -- segmentation_models (πŸ₯‰23 Β· ⭐ 4.4K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT -- Image Super-Resolution (πŸ₯‰23 Β· ⭐ 4.3K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 -- Luminoth (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 -- deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT +- Image Super-Resolution (πŸ₯‰22 Β· ⭐ 4.3K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 +- Luminoth (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 +- deep-daze (πŸ₯‰21 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT - nude.py (πŸ₯‰21 Β· ⭐ 920 Β· πŸ’€) - Nudity detection with Python. MIT - detecto (πŸ₯‰20 Β· ⭐ 600 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - solt (πŸ₯‰18 Β· ⭐ 260 Β· πŸ’€) - Streaming over lightweight data transformations. MIT @@ -2982,42 +2885,58 @@ _Libraries for image & video processing, manipulation, and augmentation as well _Libraries for graph processing, clustering, embedding, and machine learning tasks._ -
dgl (πŸ₯‡38 Β· ⭐ 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 +
networkx (πŸ₯‡43 Β· ⭐ 13K) - Network Analysis in Python. BSD-3 + +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 3.1K Β· πŸ“₯ 65 Β· πŸ“¦ 190K Β· πŸ“‹ 3.3K - 12% open Β· ⏱️ 12.10.2023): + + ``` + git clone https://github.com/networkx/networkx + ``` +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 28M / month Β· πŸ“¦ 15K Β· ⏱️ 11.10.2023): + ``` + pip install networkx + ``` +- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 14M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge networkx + ``` +
+
dgl (πŸ₯‡39 Β· ⭐ 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.8K Β· πŸ“¦ 150 Β· πŸ“‹ 2.4K - 13% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.9K Β· πŸ“¦ 150 Β· πŸ“‹ 2.5K - 16% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 70K / month): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 66K / month Β· πŸ“¦ 76 Β· ⏱️ 30.08.2023): ``` pip install dgl ```
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PyTorch Geometric (πŸ₯‡33 Β· ⭐ 19K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT +
PyTorch Geometric (πŸ₯‡38 Β· ⭐ 19K Β· πŸ“ˆ) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 3.3K Β· πŸ“‹ 3.2K - 23% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 3.3K Β· πŸ“‹ 3.3K - 25% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 220K / month): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 200K / month Β· πŸ“¦ 110 Β· ⏱️ 12.10.2023): ``` pip install torch-geometric ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 31K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 32K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pytorch_geometric ```
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ogb (πŸ₯ˆ29 Β· ⭐ 1.8K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT +
ogb (πŸ₯‡29 Β· ⭐ 1.8K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT -- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 390 Β· πŸ“¦ 1.1K Β· πŸ“‹ 270 - 2% open Β· ⏱️ 10.06.2023): +- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 1.1K Β· πŸ“‹ 290 - 6% open Β· ⏱️ 10.06.2023): ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 41K / month): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 38K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` @@ -3028,16 +2947,28 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pygraphistry (πŸ₯ˆ28 Β· ⭐ 1.9K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 200 Β· πŸ“¦ 99 Β· πŸ“‹ 290 - 49% open Β· ⏱️ 16.09.2023): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 200 Β· πŸ“¦ 100 Β· πŸ“‹ 290 - 49% open Β· ⏱️ 16.09.2023): ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 1.8K / month Β· πŸ“¦ 5 Β· ⏱️ 07.09.2023): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 1.7K / month Β· πŸ“¦ 5 Β· ⏱️ 07.09.2023): ``` pip install graphistry ```
+
Paddle Graph Learning (πŸ₯ˆ28 Β· ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 + +- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 310 Β· πŸ“¦ 45 Β· πŸ“‹ 210 - 42% open Β· ⏱️ 26.09.2023): + + ``` + git clone https://github.com/PaddlePaddle/PGL + ``` +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): + ``` + pip install pgl + ``` +
Spektral (πŸ₯ˆ27 Β· ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT - [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 230 Β· πŸ“‹ 260 - 24% open Β· ⏱️ 01.06.2023): @@ -3045,67 +2976,67 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 4.7K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 4.6K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): ``` pip install spektral ```
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Paddle Graph Learning (πŸ₯ˆ27 Β· ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 +
PyKEEN (πŸ₯ˆ26 Β· ⭐ 1.4K) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 300 Β· πŸ“¦ 45 Β· πŸ“‹ 190 - 37% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 170 Β· πŸ“₯ 180 Β· πŸ“‹ 540 - 20% open Β· ⏱️ 07.10.2023): ``` - git clone https://github.com/PaddlePaddle/PGL + git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.1K / month): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 3.4K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): ``` - pip install pgl + pip install pykeen ```
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AmpliGraph (πŸ₯ˆ26 Β· ⭐ 2K) - Python library for Representation Learning on Knowledge.. Apache-2 +
pytorch_geometric_temporal (πŸ₯ˆ25 Β· ⭐ 2.2K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT -- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“¦ 44 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 12.07.2023): +- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 310 Β· πŸ“‹ 170 - 8% open Β· ⏱️ 01.07.2023): ``` - git clone https://github.com/Accenture/AmpliGraph + git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 610 / month Β· ⏱️ 25.05.2021): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 1.8K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): ``` - pip install ampligraph + pip install torch-geometric-temporal ```
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PyKEEN (πŸ₯ˆ26 Β· ⭐ 1.3K) - A Python library for learning and evaluating knowledge graph embeddings. MIT +
AmpliGraph (πŸ₯ˆ25 Β· ⭐ 2K) - Python library for Representation Learning on Knowledge.. Apache-2 -- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 170 Β· πŸ“₯ 180 Β· πŸ“‹ 540 - 20% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“¦ 44 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 12.07.2023): ``` - git clone https://github.com/pykeen/pykeen + git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 3.7K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 670 / month Β· ⏱️ 25.05.2021): ``` - pip install pykeen + pip install ampligraph ```
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pytorch_geometric_temporal (πŸ₯ˆ25 Β· ⭐ 2.2K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT +
PyTorch-BigGraph (πŸ₯ˆ24 Β· ⭐ 3.3K) - Generate embeddings from large-scale graph-structured.. BSD-3 -- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 310 Β· πŸ“‹ 170 - 8% open Β· ⏱️ 01.07.2023): +- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 430 Β· πŸ“₯ 160 Β· πŸ“‹ 190 - 29% open Β· ⏱️ 25.08.2023): ``` - git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal + git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 1.9K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 320K / month Β· πŸ“¦ 3 Β· ⏱️ 01.05.2019): ``` - pip install torch-geometric-temporal + pip install torchbiggraph ```
Node2Vec (πŸ₯ˆ24 Β· ⭐ 1.1K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 230 Β· πŸ“¦ 470 Β· πŸ“‹ 90 - 3% open Β· ⏱️ 29.08.2023): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 230 Β· πŸ“¦ 480 Β· πŸ“‹ 90 - 3% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 60K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 65K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): ``` pip install node2vec ``` @@ -3114,70 +3045,82 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge node2vec ```
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graph4nlp (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 +
torch-cluster (πŸ₯ˆ24 Β· ⭐ 700 Β· πŸ“ˆ) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- [GitHub](https://github.com/graph4ai/graph4nlp) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 190 Β· πŸ“‹ 170 - 6% open Β· ⏱️ 13.11.2022): +- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 130 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/graph4ai/graph4nlp + git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 75 / month Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 10K / month Β· πŸ“¦ 44 Β· ⏱️ 12.10.2023): ``` - pip install graph4nlp + pip install torch-cluster + ``` +- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 80K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge pytorch_cluster ```
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deepsnap (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Python library assists deep learning on graphs. MIT +
graph-nets (πŸ₯‰21 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 -- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 51 Β· πŸ“₯ 10 Β· πŸ“¦ 66 Β· πŸ“‹ 44 - 45% open Β· ⏱️ 27.03.2023): +- [GitHub](https://github.com/google-deepmind/graph_nets) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 780 Β· πŸ“¦ 18 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 12.12.2022): ``` - git clone https://github.com/snap-stanford/deepsnap + git clone https://github.com/deepmind/graph_nets ``` -- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 520 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 820 / month Β· πŸ“¦ 8 Β· ⏱️ 29.01.2020): ``` - pip install deepsnap + pip install graph-nets ```
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graph-nets (πŸ₯‰19 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 +
graph4nlp (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 -- [GitHub](https://github.com/google-deepmind/graph_nets) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 770 Β· πŸ“¦ 16 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 12.12.2022): +- [GitHub](https://github.com/graph4ai/graph4nlp) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 190 Β· πŸ“‹ 170 - 6% open Β· ⏱️ 13.11.2022): ``` - git clone https://github.com/deepmind/graph_nets + git clone https://github.com/graph4ai/graph4nlp ``` -- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 820 / month): +- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 80 / month Β· ⏱️ 20.01.2022): ``` - pip install graph-nets + pip install graph4nlp ```
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torch-cluster (πŸ₯‰19 Β· ⭐ 700) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +
deepsnap (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Python library assists deep learning on graphs. MIT -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 120 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 24.09.2023): +- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 51 Β· πŸ“₯ 10 Β· πŸ“¦ 68 Β· πŸ“‹ 44 - 45% open Β· ⏱️ 27.03.2023): ``` - git clone https://github.com/rusty1s/pytorch_cluster - ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 10K / month): - ``` - pip install torch-cluster + git clone https://github.com/snap-stanford/deepsnap ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 79K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 540 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): ``` - conda install -c conda-forge pytorch_cluster + pip install deepsnap ```
GraphGym (πŸ₯‰18 Β· ⭐ 1.5K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT -- [GitHub](https://github.com/snap-stanford/GraphGym) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 160 Β· πŸ“₯ 26 Β· πŸ“¦ 4 Β· πŸ“‹ 41 - 31% open Β· ⏱️ 14.03.2023): +- [GitHub](https://github.com/snap-stanford/GraphGym) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 160 Β· πŸ“₯ 26 Β· πŸ“¦ 4 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 14.03.2023): ``` git clone https://github.com/snap-stanford/GraphGym ``` -- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 92 / month Β· ⏱️ 24.03.2022): +- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 84 / month Β· ⏱️ 24.03.2022): ``` pip install graphgym ```
+
AutoGL (πŸ₯‰16 Β· ⭐ 960 Β· πŸ’€) - An autoML framework & toolkit for machine learning on graphs. Apache-2 + +- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 30.12.2022): + + ``` + git clone https://github.com/THUMNLab/AutoGL + ``` +- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 3 / month Β· ⏱️ 23.12.2020): + ``` + pip install auto-graph-learning + ``` +
kglib (πŸ₯‰16 Β· ⭐ 550 Β· πŸ’€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 - [GitHub](https://github.com/vaticle/typedb-ml) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 98 Β· πŸ“₯ 220 Β· πŸ“‹ 62 - 17% open Β· ⏱️ 09.11.2022): @@ -3185,7 +3128,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/vaticle/kglib ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 71 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 74 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ``` @@ -3198,18 +3141,6 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas git clone https://github.com/thunlp/OpenKE ```
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AutoGL (πŸ₯‰15 Β· ⭐ 960 Β· πŸ’€) - An autoML framework & toolkit for machine learning on graphs. Apache-2 - -- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“‹ 31 - 29% open Β· ⏱️ 30.12.2022): - - ``` - git clone https://github.com/THUMNLab/AutoGL - ``` -- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 1 / month Β· ⏱️ 23.12.2020): - ``` - pip install auto-graph-learning - ``` -
OpenNE (πŸ₯‰14 Β· ⭐ 1.7K Β· πŸ’€) - An Open-Source Package for Network Embedding (NE). MIT - [GitHub](https://github.com/thunlp/OpenNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 480 Β· πŸ“‹ 100 - 4% open Β· ⏱️ 02.11.2022): @@ -3218,25 +3149,23 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas git clone https://github.com/thunlp/OpenNE ```
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Show 17 hidden projects... +
Show 15 hidden projects... -- networkx (πŸ₯‡41 Β· ⭐ 13K Β· πŸ“‰) - Network Analysis in Python. ❗Unlicensed -- igraph (πŸ₯‡33 Β· ⭐ 1.2K) - Python interface for igraph. ❗️GPL-2.0 - StellarGraph (πŸ₯ˆ28 Β· ⭐ 2.8K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 -- pygal (πŸ₯ˆ23 Β· ⭐ 2.6K Β· πŸ“‰) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 -- Karate Club (πŸ₯ˆ23 Β· ⭐ 2K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 +- igraph (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ“‰) - Python interface for igraph. ❗️GPL-2.0 +- pygal (πŸ₯ˆ27 Β· ⭐ 2.6K Β· πŸ“ˆ) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- Karate Club (πŸ₯ˆ24 Β· ⭐ 2K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 - DIG (πŸ₯‰22 Β· ⭐ 1.6K) - A library for graph deep learning research. ❗️GPL-3.0 -- PyTorch-BigGraph (πŸ₯‰21 Β· ⭐ 3.3K) - Generate embeddings from large-scale graph-structured.. ❗Unlicensed - DeepWalk (πŸ₯‰20 Β· ⭐ 2.6K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - jraph (πŸ₯‰20 Β· ⭐ 1.2K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 -- pyRDF2Vec (πŸ₯‰20 Β· ⭐ 220) - Python Implementation and Extension of RDF2Vec. MIT +- pyRDF2Vec (πŸ₯‰20 Β· ⭐ 230) - Python Implementation and Extension of RDF2Vec. MIT - Sematch (πŸ₯‰19 Β· ⭐ 410 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 - GraphEmbedding (πŸ₯‰16 Β· ⭐ 3.4K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT - Euler (πŸ₯‰16 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 -- DeepGraph (πŸ₯‰15 Β· ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:. ❗Unlicensed - GraphSAGE (πŸ₯‰14 Β· ⭐ 3.2K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT -- GraphVite (πŸ₯‰14 Β· ⭐ 1.2K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 - ptgnn (πŸ₯‰14 Β· ⭐ 370 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT +- DeepGraph (πŸ₯‰14 Β· ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:. ❗Unlicensed +- GraphVite (πŸ₯‰13 Β· ⭐ 1.2K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2

@@ -3246,9 +3175,9 @@ _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._ -
speechbrain (πŸ₯‡38 Β· ⭐ 6.6K) - A PyTorch-based Speech Toolkit. Apache-2 +
speechbrain (πŸ₯‡38 Β· ⭐ 6.7K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.1K Β· πŸ“¦ 980 Β· πŸ“‹ 1K - 16% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.1K Β· πŸ“¦ 990 Β· πŸ“‹ 1K - 16% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/speechbrain/speechbrain @@ -3260,24 +3189,36 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
espnet (πŸ₯‡37 Β· ⭐ 7.1K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 2K Β· πŸ“₯ 79 Β· πŸ“¦ 240 Β· πŸ“‹ 2.2K - 9% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 2K Β· πŸ“₯ 79 Β· πŸ“¦ 240 Β· πŸ“‹ 2.2K - 9% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 30K / month Β· πŸ“¦ 5 Β· ⏱️ 03.08.2023): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 28K / month Β· πŸ“¦ 5 Β· ⏱️ 03.08.2023): ``` pip install espnet ```
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Coqui TTS (πŸ₯‡34 Β· ⭐ 20K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
torchaudio (πŸ₯‡35 Β· ⭐ 2.2K Β· πŸ“ˆ) - Data manipulation and transformation for audio signal.. BSD-2 + +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 600 Β· πŸ“‹ 880 - 21% open Β· ⏱️ 12.10.2023): + + ``` + git clone https://github.com/pytorch/audio + ``` +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1.5M / month Β· πŸ“¦ 440 Β· ⏱️ 04.10.2023): + ``` + pip install torchaudio + ``` +
+
Coqui TTS (πŸ₯ˆ34 Β· ⭐ 20K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.2K Β· πŸ“₯ 1.4M Β· πŸ“‹ 720 - 4% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.2K Β· πŸ“₯ 1.4M Β· πŸ“‹ 740 - 6% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 89K / month Β· πŸ“¦ 16 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 84K / month Β· πŸ“¦ 16 Β· ⏱️ 06.10.2023): ``` pip install tts ``` @@ -3286,41 +3227,41 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge tts ```
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Pydub (πŸ₯‡34 Β· ⭐ 7.7K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT +
Pydub (πŸ₯ˆ33 Β· ⭐ 7.7K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT -- [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 960 Β· πŸ“¦ 39K Β· πŸ“‹ 590 - 54% open Β· ⏱️ 08.12.2022): +- [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 960 Β· πŸ“¦ 40K Β· πŸ“‹ 590 - 54% open Β· ⏱️ 08.12.2022): ``` git clone https://github.com/jiaaro/pydub ``` -- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 3.3M / month Β· πŸ“¦ 1.2K Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 3.1M / month Β· πŸ“¦ 1.2K Β· ⏱️ 10.03.2021): ``` pip install pydub ``` -- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 68K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 69K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pydub ```
librosa (πŸ₯ˆ33 Β· ⭐ 6.2K) - Python library for audio and music analysis. ISC -- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 900 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 900 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.3M / month Β· πŸ“¦ 1.5K Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.1M / month Β· πŸ“¦ 1.5K Β· ⏱️ 16.08.2023): ``` pip install librosa ``` -- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 690K Β· ⏱️ 16.08.2023): +- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 700K Β· ⏱️ 16.08.2023): ``` conda install -c conda-forge librosa ```
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spleeter (πŸ₯ˆ31 Β· ⭐ 24K) - Deezer source separation library including pretrained models. MIT +
spleeter (πŸ₯ˆ32 Β· ⭐ 24K) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.6K Β· πŸ“₯ 2.7M Β· πŸ“¦ 580 Β· πŸ“‹ 770 - 27% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.6K Β· πŸ“₯ 2.7M Β· πŸ“¦ 590 Β· πŸ“‹ 770 - 27% open Β· ⏱️ 13.07.2023): ``` git clone https://github.com/deezer/spleeter @@ -3334,7 +3275,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge spleeter ```
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Magenta (πŸ₯ˆ31 Β· ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 +
Magenta (πŸ₯ˆ32 Β· ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 - [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.7K Β· πŸ“¦ 470 Β· πŸ“‹ 960 - 38% open Β· ⏱️ 11.07.2023): @@ -3346,26 +3287,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as pip install magenta ```
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torchaudio (πŸ₯ˆ31 Β· ⭐ 2.2K Β· πŸ“‰) - Data manipulation and transformation for audio signal.. BSD-2 - -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 570 Β· πŸ“‹ 850 - 18% open Β· ⏱️ 03.10.2023): - - ``` - git clone https://github.com/pytorch/audio - ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1.5M / month): - ``` - pip install torchaudio - ``` -
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SpeechRecognition (πŸ₯ˆ30 Β· ⭐ 7.6K Β· πŸ’€) - Speech recognition module for Python, supporting.. BSD-3 +
SpeechRecognition (πŸ₯ˆ32 Β· ⭐ 7.6K Β· πŸ’€) - Speech recognition module for Python, supporting.. BSD-3 -- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.2K Β· πŸ“¦ 16 Β· πŸ“‹ 570 - 46% open Β· ⏱️ 13.03.2023): +- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.3K Β· πŸ“¦ 18 Β· πŸ“‹ 600 - 49% open Β· ⏱️ 13.03.2023): ``` git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 460K / month): +- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 450K / month Β· πŸ“¦ 810 Β· ⏱️ 04.12.2022): ``` pip install SpeechRecognition ``` @@ -3381,14 +3310,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 10K / month Β· πŸ“¦ 5 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 11K / month Β· πŸ“¦ 5 Β· ⏱️ 30.08.2023): ``` pip install audiomentations ```
audioread (πŸ₯ˆ30 Β· ⭐ 450) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT -- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 110 Β· πŸ“¦ 15K Β· πŸ“‹ 89 - 39% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 110 Β· πŸ“¦ 16K Β· πŸ“‹ 89 - 39% open Β· ⏱️ 17.08.2023): ``` git clone https://github.com/beetbox/audioread @@ -3404,7 +3333,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Porcupine (πŸ₯ˆ29 Β· ⭐ 3.2K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 440 Β· πŸ“¦ 22 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 30.08.2023): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 440 Β· πŸ“¦ 22 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/Picovoice/Porcupine @@ -3421,23 +3350,11 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.6K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.7K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): ``` pip install madmom ```
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tinytag (πŸ₯‰27 Β· ⭐ 620) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT - -- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“¦ 850 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 26.09.2023): - - ``` - git clone https://github.com/devsnd/tinytag - ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 15K / month Β· πŸ“¦ 110 Β· ⏱️ 12.03.2022): - ``` - pip install tinytag - ``` -
DDSP (πŸ₯‰25 Β· ⭐ 2.6K) - DDSP: Differentiable Digital Signal Processing. Apache-2 - [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 300 Β· πŸ“¦ 44 Β· πŸ“‹ 160 - 23% open Β· ⏱️ 30.06.2023): @@ -3445,7 +3362,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3454,30 +3371,26 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge ddsp ```
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DeepSpeech (πŸ₯‰22 Β· ⭐ 23K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +
tinytag (πŸ₯‰25 Β· ⭐ 620) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT -- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.8K): +- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 06.10.2023): ``` - git clone https://github.com/mozilla/DeepSpeech - ``` -- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 5.6K / month Β· πŸ“¦ 43 Β· ⏱️ 19.12.2020): - ``` - pip install deepspeech + git clone https://github.com/devsnd/tinytag ``` -- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 2.3K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 14K / month Β· πŸ“¦ 110 Β· ⏱️ 12.03.2022): ``` - conda install -c conda-forge deepspeech + pip install tinytag ```
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python-soundfile (πŸ₯‰22 Β· ⭐ 590 Β· πŸ’€) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3 +
python-soundfile (πŸ₯‰25 Β· ⭐ 590 Β· πŸ’€) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3 -- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 90 Β· πŸ“₯ 16K Β· πŸ“‹ 220 - 41% open Β· ⏱️ 24.03.2023): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 93 Β· πŸ“₯ 16K Β· πŸ“‹ 220 - 41% open Β· ⏱️ 24.03.2023): ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 1.5M / month): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 1.4M / month Β· πŸ“¦ 170 Β· ⏱️ 15.02.2023): ``` pip install soundfile ``` @@ -3486,19 +3399,35 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c anaconda pysoundfile ```
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DeepSpeech (πŸ₯‰22 Β· ⭐ 23K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0 + +- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.8K): + + ``` + git clone https://github.com/mozilla/DeepSpeech + ``` +- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 5.5K / month Β· πŸ“¦ 43 Β· ⏱️ 19.12.2020): + ``` + pip install deepspeech + ``` +- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 2.3K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge deepspeech + ``` +
nnAudio (πŸ₯‰20 Β· ⭐ 900) - Audio processing by using pytorch 1D convolution network. MIT -- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 86 Β· πŸ“¦ 130 Β· πŸ“‹ 59 - 28% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 85 Β· πŸ“¦ 130 Β· πŸ“‹ 59 - 28% open Β· ⏱️ 04.09.2023): ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 2.1K / month Β· πŸ“¦ 3 Β· ⏱️ 24.12.2021): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 2.7K / month Β· πŸ“¦ 3 Β· ⏱️ 24.12.2021): ``` pip install nnAudio ```
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textlesslib (πŸ₯‰12 Β· ⭐ 450) - Library for Textless Spoken Language Processing. MIT +
textlesslib (πŸ₯‰12 Β· ⭐ 460) - Library for Textless Spoken Language Processing. MIT - [GitHub](https://github.com/facebookresearch/textlesslib) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 45 Β· πŸ“‹ 17 - 47% open Β· ⏱️ 29.08.2023): @@ -3511,10 +3440,10 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as - pyAudioAnalysis (πŸ₯ˆ29 Β· ⭐ 5.4K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 - aubio (πŸ₯‰28 Β· ⭐ 3K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 - Essentia (πŸ₯‰26 Β· ⭐ 2.5K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 +- TTS (πŸ₯‰25 Β· ⭐ 8K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (πŸ₯‰25 Β· ⭐ 2.3K Β· πŸ’€) - This library provides common speech features for ASR.. MIT -- TTS (πŸ₯‰24 Β· ⭐ 8K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - Dejavu (πŸ₯‰23 Β· ⭐ 6.1K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT -- kapre (πŸ₯‰22 Β· ⭐ 900 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT +- kapre (πŸ₯‰21 Β· ⭐ 900 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - Julius (πŸ₯‰20 Β· ⭐ 370 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT - TimeSide (πŸ₯‰20 Β· ⭐ 350 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 - Muda (πŸ₯‰17 Β· ⭐ 220 Β· πŸ’€) - A library for augmenting annotated audio data. ISC @@ -3529,7 +3458,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡42 Β· ⭐ 11K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 6.6K Β· πŸ“‹ 2.8K - 8% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 6.6K Β· πŸ“‹ 2.8K - 8% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/visgl/deck.gl @@ -3542,35 +3471,35 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 500K / month Β· πŸ“¦ 470 Β· ⏱️ 21.09.2023): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 500K / month Β· πŸ“¦ 470 Β· ⏱️ 11.10.2023): ``` npm install deck.gl ```
GeoPandas (πŸ₯‡39 Β· ⭐ 3.9K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 820 Β· πŸ“₯ 2.2K Β· πŸ“¦ 26K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 21.09.2023): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 870 Β· πŸ“₯ 2.2K Β· πŸ“¦ 27K Β· πŸ“‹ 1.6K - 27% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 5.9M / month): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6M / month Β· πŸ“¦ 1.7K Β· ⏱️ 15.09.2023): ``` pip install geopandas ``` -- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 3.2M Β· ⏱️ 15.09.2023): +- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 3.2M Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge geopandas ```
folium (πŸ₯‡38 Β· ⭐ 6.4K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.2K Β· πŸ“¦ 29K Β· πŸ“‹ 1K - 5% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.2K Β· πŸ“¦ 30K Β· πŸ“‹ 1K - 5% open Β· ⏱️ 04.10.2023): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 650K / month): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 670K / month Β· πŸ“¦ 780 Β· ⏱️ 12.12.2022): ``` pip install folium ``` @@ -3579,94 +3508,94 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge folium ```
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geopy (πŸ₯ˆ36 Β· ⭐ 4.1K) - Geocoding library for Python. MIT +
Shapely (πŸ₯ˆ37 Β· ⭐ 3.4K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 630 Β· πŸ“₯ 2 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 27.08.2023): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“₯ 2.6K Β· πŸ“¦ 54K Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 08.10.2023): ``` - git clone https://github.com/geopy/geopy + git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.2M / month Β· πŸ“¦ 4K Β· ⏱️ 27.08.2023): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 15M / month Β· πŸ“¦ 890 Β· ⏱️ 02.02.2023): ``` - pip install geopy + pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1.2M Β· ⏱️ 27.08.2023): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 8.5M Β· ⏱️ 25.09.2023): ``` - conda install -c conda-forge geopy + conda install -c conda-forge shapely ```
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Shapely (πŸ₯ˆ36 Β· ⭐ 3.4K) - Manipulation and analysis of geometric objects. BSD-3 +
geopy (πŸ₯ˆ36 Β· ⭐ 4.1K) - Geocoding library for Python. MIT -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“₯ 2.6K Β· πŸ“¦ 53K Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 630 Β· πŸ“₯ 2 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 27.08.2023): ``` - git clone https://github.com/shapely/shapely + git clone https://github.com/geopy/geopy ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 14M / month Β· πŸ“¦ 890 Β· ⏱️ 02.02.2023): +- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.1M / month Β· πŸ“¦ 4K Β· ⏱️ 27.08.2023): ``` - pip install shapely + pip install geopy ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 8.4M Β· ⏱️ 25.09.2023): +- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1.2M Β· ⏱️ 27.08.2023): ``` - conda install -c conda-forge shapely + conda install -c conda-forge geopy ```
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Rasterio (πŸ₯ˆ36 Β· ⭐ 2K) - Rasterio reads and writes geospatial raster datasets. BSD-3 +
pyproj (πŸ₯ˆ36 Β· ⭐ 920) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 8.9K Β· πŸ“‹ 1.7K - 8% open Β· ⏱️ 01.09.2023): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 210 Β· πŸ“¦ 24K Β· πŸ“‹ 580 - 4% open Β· ⏱️ 21.09.2023): ``` - git clone https://github.com/rasterio/rasterio + git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2M / month Β· πŸ“¦ 990 Β· ⏱️ 28.06.2023): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 7.8M / month Β· πŸ“¦ 2K Β· ⏱️ 21.09.2023): ``` - pip install rasterio + pip install pyproj ``` -- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 2.6M Β· ⏱️ 23.09.2023): +- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 6.8M Β· ⏱️ 25.09.2023): ``` - conda install -c conda-forge rasterio + conda install -c conda-forge pyproj ```
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pyproj (πŸ₯ˆ36 Β· ⭐ 920) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
Rasterio (πŸ₯ˆ35 Β· ⭐ 2K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 200 Β· πŸ“¦ 24K Β· πŸ“‹ 580 - 3% open Β· ⏱️ 21.09.2023): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 9K Β· πŸ“‹ 1.7K - 9% open Β· ⏱️ 01.09.2023): ``` - git clone https://github.com/pyproj4/pyproj + git clone https://github.com/rasterio/rasterio ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 7.6M / month): +- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 1.9M / month Β· πŸ“¦ 1K Β· ⏱️ 12.10.2023): ``` - pip install pyproj + pip install rasterio ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 6.7M Β· ⏱️ 25.09.2023): +- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 2.6M Β· ⏱️ 11.10.2023): ``` - conda install -c conda-forge pyproj + conda install -c conda-forge rasterio ```
Fiona (πŸ₯ˆ34 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 200 Β· πŸ“¦ 15K Β· πŸ“‹ 760 - 5% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 200 Β· πŸ“¦ 15K Β· πŸ“‹ 760 - 4% open Β· ⏱️ 03.10.2023): ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.2M / month Β· πŸ“¦ 880 Β· ⏱️ 23.05.2023): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.3M / month Β· πŸ“¦ 880 Β· ⏱️ 23.05.2023): ``` pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5M Β· ⏱️ 12.10.2023): ``` conda install -c conda-forge fiona ```
ipyleaflet (πŸ₯ˆ33 Β· ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 340 Β· πŸ“¦ 5.4K Β· πŸ“‹ 570 - 39% open Β· ⏱️ 11.09.2023): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 350 Β· πŸ“¦ 5.5K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 160K / month): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 160K / month Β· πŸ“¦ 160 Β· ⏱️ 11.09.2023): ``` pip install ipyleaflet ``` @@ -3674,30 +3603,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 42K / month): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 46K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2023): ``` npm install jupyter-leaflet ```
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ArcGIS API (πŸ₯‰32 Β· ⭐ 1.7K) - Documentation and samples for ArcGIS API for Python. Apache-2 +
ArcGIS API (πŸ₯‰32 Β· ⭐ 1.6K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.1K Β· πŸ“₯ 9.3K Β· πŸ“¦ 2 Β· πŸ“‹ 630 - 7% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.1K Β· πŸ“₯ 9.4K Β· πŸ“¦ 3 Β· πŸ“‹ 640 - 7% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 76K / month Β· πŸ“¦ 32 Β· ⏱️ 25.09.2023): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 72K / month Β· πŸ“¦ 32 Β· ⏱️ 25.09.2023): ``` pip install arcgis ``` -- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (πŸ“₯ 13K Β· ⭐ 40 Β· ⏱️ 17.06.2022): +- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook): ``` docker pull esridocker/arcgis-api-python-notebook ```
geojson (πŸ₯‰29 Β· ⭐ 840) - Python bindings and utilities for GeoJSON. BSD-3 -- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 120 Β· πŸ“¦ 15K Β· πŸ“‹ 98 - 25% open Β· ⏱️ 28.05.2023): +- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 120 Β· πŸ“¦ 16K Β· πŸ“‹ 98 - 25% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/jazzband/geojson @@ -3706,19 +3635,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install geojson ``` -- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 750K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 760K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge geojson ```
GeoViews (πŸ₯‰28 Β· ⭐ 510) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 70 Β· πŸ“¦ 770 Β· πŸ“‹ 330 - 32% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 70 Β· πŸ“¦ 780 Β· πŸ“‹ 330 - 32% open Β· ⏱️ 02.10.2023): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 6.5K / month): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 7K / month): ``` pip install geoviews ``` @@ -3750,7 +3679,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.7K / month): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.6K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` @@ -3766,7 +3695,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 66K / month Β· πŸ“¦ 21 Β· ⏱️ 05.03.2023): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 69K / month Β· πŸ“¦ 21 Β· ⏱️ 05.03.2023): ``` pip install pymap3d ``` @@ -3778,8 +3707,8 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Show 7 hidden projects... - Geocoder (πŸ₯‰32 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT -- Satpy (πŸ₯‰29 Β· ⭐ 960) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 -- Sentinelsat (πŸ₯‰26 Β· ⭐ 920 Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- Satpy (πŸ₯‰30 Β· ⭐ 960) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- Sentinelsat (πŸ₯‰27 Β· ⭐ 920 Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - gmaps (πŸ₯‰23 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 - Mapbox GL (πŸ₯‰23 Β· ⭐ 640 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - prettymaps (πŸ₯‰21 Β· ⭐ 10K Β· πŸ’€) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 @@ -3809,14 +3738,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c ranaroussi yfinance ```
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Qlib (πŸ₯‡31 Β· ⭐ 13K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT +
Qlib (πŸ₯ˆ31 Β· ⭐ 13K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.1K Β· πŸ“₯ 370 Β· πŸ“¦ 16 Β· πŸ“‹ 800 - 28% open Β· ⏱️ 15.09.2023): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.1K Β· πŸ“₯ 370 Β· πŸ“¦ 18 Β· πŸ“‹ 800 - 28% open Β· ⏱️ 15.09.2023): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2022): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2022): ``` pip install pyqlib ``` @@ -3828,7 +3757,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 34K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2022): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 33K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2022): ``` pip install ib_insync ``` @@ -3844,7 +3773,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 9.6K / month Β· πŸ“¦ 27 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 9.2K / month Β· πŸ“¦ 27 Β· ⏱️ 21.04.2021): ``` pip install bt ``` @@ -3864,7 +3793,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 5.5K Β· ⏱️ 15.06.2023): +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 5.6K Β· ⏱️ 15.06.2023): ``` conda install -c conda-forge ffn ``` @@ -3876,61 +3805,49 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 26K / month Β· πŸ“¦ 29 Β· ⏱️ 21.12.2020): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 25K / month Β· πŸ“¦ 29 Β· ⏱️ 21.12.2020): ``` pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 5.4K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 5.5K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge alpha_vantage ```
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stockstats (πŸ₯‰27 Β· ⭐ 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 +
stockstats (πŸ₯‰26 Β· ⭐ 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 -- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 290 Β· πŸ“¦ 930 Β· πŸ“‹ 120 - 9% open Β· ⏱️ 30.07.2023): +- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 290 Β· πŸ“¦ 940 Β· πŸ“‹ 120 - 9% open Β· ⏱️ 30.07.2023): ``` git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 9.1K / month Β· πŸ“¦ 29 Β· ⏱️ 30.07.2023): +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 9.2K / month Β· πŸ“¦ 29 Β· ⏱️ 30.07.2023): ``` pip install stockstats ```
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PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.1K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 - -- [GitHub](https://github.com/gbeced/pyalgotrade) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 1.4K Β· πŸ“¦ 170 Β· ⏱️ 05.03.2023): - - ``` - git clone https://github.com/gbeced/pyalgotrade - ``` -- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 540 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): - ``` - pip install pyalgotrade - ``` -
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FinQuant (πŸ₯‰24 Β· ⭐ 1.1K) - A program for financial portfolio management, analysis and optimisation. MIT +
FinQuant (πŸ₯‰25 Β· ⭐ 1.1K) - A program for financial portfolio management, analysis and optimisation. MIT - [GitHub](https://github.com/fmilthaler/FinQuant) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 82 Β· πŸ“‹ 48 - 33% open Β· ⏱️ 03.09.2023): ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 810 / month Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 1.2K / month Β· ⏱️ 04.09.2023): ``` pip install FinQuant ```
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finmarketpy (πŸ₯‰21 Β· ⭐ 3.2K) - Python library for backtesting trading strategies & analyzing.. Apache-2 +
PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.2K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 -- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 480 Β· πŸ“₯ 47 Β· πŸ“¦ 10 Β· πŸ“‹ 28 - 85% open Β· ⏱️ 26.04.2023): +- [GitHub](https://github.com/gbeced/pyalgotrade) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 1.4K Β· πŸ“¦ 170 Β· ⏱️ 05.03.2023): ``` - git clone https://github.com/cuemacro/finmarketpy + git clone https://github.com/gbeced/pyalgotrade ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 150 / month Β· ⏱️ 07.10.2021): +- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 580 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): ``` - pip install finmarketpy + pip install pyalgotrade ```
tf-quant-finance (πŸ₯‰20 Β· ⭐ 4K) - High-performance TensorFlow library for quantitative.. Apache-2 @@ -3940,22 +3857,34 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 410 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 430 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ```
+
finmarketpy (πŸ₯‰20 Β· ⭐ 3.2K) - Python library for backtesting trading strategies & analyzing.. Apache-2 + +- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 480 Β· πŸ“₯ 47 Β· πŸ“¦ 10 Β· πŸ“‹ 28 - 85% open Β· ⏱️ 26.04.2023): + + ``` + git clone https://github.com/cuemacro/finmarketpy + ``` +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 140 / month Β· ⏱️ 07.10.2021): + ``` + pip install finmarketpy + ``` +
Show 14 hidden projects... - zipline (πŸ₯‡32 Β· ⭐ 17K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 -- pyfolio (πŸ₯‡31 Β· ⭐ 5.2K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 -- ta (πŸ₯ˆ30 Β· ⭐ 3.8K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT -- arch (πŸ₯ˆ30 Β· ⭐ 1.2K) - ARCH models in Python. ❗Unlicensed +- pyfolio (πŸ₯‡32 Β· ⭐ 5.2K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 +- arch (πŸ₯ˆ31 Β· ⭐ 1.2K) - ARCH models in Python. ❗Unlicensed - backtrader (πŸ₯ˆ29 Β· ⭐ 12K) - Python Backtesting library for trading strategies. ❗️GPL-3.0 -- empyrical (πŸ₯‰27 Β· ⭐ 1.1K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 +- ta (πŸ₯ˆ29 Β· ⭐ 3.8K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT +- empyrical (πŸ₯‰28 Β· ⭐ 1.1K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Alphalens (πŸ₯‰26 Β· ⭐ 2.8K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 -- Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.4K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 -- TensorTrade (πŸ₯‰25 Β· ⭐ 4.2K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 +- TensorTrade (πŸ₯‰25 Β· ⭐ 4.3K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 +- Enigma Catalyst (πŸ₯‰25 Β· ⭐ 2.4K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - FinTA (πŸ₯‰23 Β· ⭐ 2K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - Crypto Signals (πŸ₯‰22 Β· ⭐ 4.5K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - Backtesting.py (πŸ₯‰22 Β· ⭐ 4.1K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 @@ -3970,34 +3899,34 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te _Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._ -
sktime (πŸ₯‡39 Β· ⭐ 6.9K) - A unified framework for machine learning with time series. BSD-3 +
sktime (πŸ₯‡39 Β· ⭐ 7K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 84 Β· πŸ“¦ 1.7K Β· πŸ“‹ 2K - 35% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“₯ 84 Β· πŸ“¦ 1.7K Β· πŸ“‹ 2K - 34% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 700K / month Β· πŸ“¦ 50 Β· ⏱️ 17.09.2023): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 720K / month Β· πŸ“¦ 50 Β· ⏱️ 17.09.2023): ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 900K Β· ⏱️ 17.09.2023): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 910K Β· ⏱️ 17.09.2023): ``` conda install -c conda-forge sktime-all-extras ```
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Prophet (πŸ₯‡34 Β· ⭐ 17K) - Tool for producing high quality forecasts for time series data that has.. MIT +
Prophet (πŸ₯‡35 Β· ⭐ 17K) - Tool for producing high quality forecasts for time series data that has.. MIT -- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 2K Β· πŸ“¦ 16 Β· πŸ“‹ 2.1K - 18% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 2.1K Β· πŸ“¦ 18 Β· πŸ“‹ 2.1K - 18% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 930K / month): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 910K / month Β· πŸ“¦ 130 Β· ⏱️ 05.09.2020): ``` pip install fbprophet ``` -- [Conda](https://anaconda.org/conda-forge/prophet) (πŸ“₯ 1.1M Β· ⏱️ 15.06.2023): +- [Conda](https://anaconda.org/conda-forge/prophet) (πŸ“₯ 1.1M Β· ⏱️ 10.10.2023): ``` conda install -c conda-forge prophet ``` @@ -4009,7 +3938,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 280K / month Β· πŸ“¦ 45 Β· ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 290K / month Β· πŸ“¦ 45 Β· ⏱️ 21.08.2023): ``` pip install tslearn ``` @@ -4020,19 +3949,19 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralProphet (πŸ₯ˆ32 Β· ⭐ 3.3K) - NeuralProphet: A simple forecasting package. MIT -- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 430 Β· πŸ“¦ 300 Β· πŸ“‹ 490 - 8% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 430 Β· πŸ“¦ 300 Β· πŸ“‹ 490 - 8% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/ourownstory/neural_prophet ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 110K / month Β· πŸ“¦ 3 Β· ⏱️ 19.09.2023): +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 92K / month Β· πŸ“¦ 3 Β· ⏱️ 19.09.2023): ``` pip install neuralprophet ```
STUMPY (πŸ₯ˆ32 Β· ⭐ 2.8K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 260 Β· πŸ“¦ 540 Β· πŸ“‹ 450 - 11% open Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 270 Β· πŸ“¦ 540 Β· πŸ“‹ 450 - 11% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/TDAmeritrade/stumpy @@ -4062,9 +3991,25 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pmdarima ```
+
tsfresh (πŸ₯ˆ31 Β· ⭐ 7.8K) - Automatic extraction of relevant features from time series:. MIT + +- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 1.2K Β· πŸ“¦ 18 Β· πŸ“‹ 530 - 11% open Β· ⏱️ 09.10.2023): + + ``` + git clone https://github.com/blue-yonder/tsfresh + ``` +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 230K / month Β· πŸ“¦ 75 Β· ⏱️ 21.12.2021): + ``` + pip install tsfresh + ``` +- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.3M Β· ⏱️ 30.07.2023): + ``` + conda install -c conda-forge tsfresh + ``` +
Darts (πŸ₯ˆ31 Β· ⭐ 6.5K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 710 Β· πŸ“¦ 380 Β· πŸ“‹ 1.2K - 20% open Β· ⏱️ 16.09.2023): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 720 Β· πŸ“¦ 380 Β· πŸ“‹ 1.2K - 20% open Β· ⏱️ 16.09.2023): ``` git clone https://github.com/unit8co/darts @@ -4084,28 +4029,28 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
GluonTS (πŸ₯ˆ31 Β· ⭐ 3.8K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 880 - 30% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 880 - 30% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 130K / month Β· πŸ“¦ 12 Β· ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 170K / month Β· πŸ“¦ 12 Β· ⏱️ 18.09.2023): ``` pip install gluonts ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 550 Β· ⏱️ 23.06.2023): +- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 570 Β· ⏱️ 23.06.2023): ``` conda install -c anaconda gluonts ```
StatsForecast (πŸ₯ˆ31 Β· ⭐ 3K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 200 Β· πŸ“¦ 490 Β· πŸ“‹ 230 - 43% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 210 Β· πŸ“¦ 500 Β· πŸ“‹ 240 - 43% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 380K / month Β· πŸ“¦ 21 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 390K / month Β· πŸ“¦ 21 Β· ⏱️ 23.08.2023): ``` pip install statsforecast ``` @@ -4114,30 +4059,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge statsforecast ```
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tsfresh (πŸ₯ˆ30 Β· ⭐ 7.8K) - Automatic extraction of relevant features from time series:. MIT - -- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.2K Β· πŸ“¦ 16 Β· πŸ“‹ 530 - 11% open Β· ⏱️ 03.08.2023): - - ``` - git clone https://github.com/blue-yonder/tsfresh - ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 230K / month Β· πŸ“¦ 75 Β· ⏱️ 21.12.2021): - ``` - pip install tsfresh - ``` -- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.3M Β· ⏱️ 30.07.2023): - ``` - conda install -c conda-forge tsfresh - ``` -
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pytorch-forecasting (πŸ₯ˆ30 Β· ⭐ 3.2K) - Time series forecasting with PyTorch. MIT +
pytorch-forecasting (πŸ₯ˆ29 Β· ⭐ 3.2K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 510 Β· πŸ“‹ 710 - 60% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 510 Β· πŸ“‹ 710 - 60% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 59K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 57K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): ``` pip install pytorch-forecasting ``` @@ -4148,16 +4077,16 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralForecast (πŸ₯ˆ29 Β· ⭐ 1.8K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 190 Β· πŸ“¦ 47 Β· πŸ“‹ 350 - 23% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 190 Β· πŸ“¦ 49 Β· πŸ“‹ 350 - 23% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 7.7K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 8.6K / month Β· πŸ“¦ 3 Β· ⏱️ 05.10.2023): ``` pip install neuralforecast ``` -- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 10K Β· ⏱️ 30.08.2023): +- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 11K Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge neuralforecast ``` @@ -4169,7 +4098,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 150K / month Β· πŸ“¦ 19 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 130K / month Β· πŸ“¦ 19 Β· ⏱️ 31.10.2021): ``` pip install pyts ``` @@ -4178,14 +4107,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pyts ```
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skforecast (πŸ₯‰28 Β· ⭐ 660) - Time series forecasting with scikit-learn models. BSD-3 +
skforecast (πŸ₯‰28 Β· ⭐ 670) - Time series forecasting with scikit-learn models. BSD-3 - [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 86 Β· πŸ“¦ 190 Β· πŸ“‹ 95 - 13% open Β· ⏱️ 27.09.2023): ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 28K / month Β· πŸ“¦ 6 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 33K / month Β· πŸ“¦ 6 Β· ⏱️ 26.09.2023): ``` pip install skforecast ``` @@ -4197,7 +4126,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 17K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 16K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): ``` pip install streamz ``` @@ -4213,19 +4142,19 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 22K / month Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 23K / month Β· ⏱️ 22.08.2023): ``` pip install tsfel ```
uber/orbit (πŸ₯‰23 Β· ⭐ 1.7K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 37 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 38 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 100K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 99K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): ``` pip install orbit-ml ``` @@ -4236,7 +4165,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
greykite (πŸ₯‰22 Β· ⭐ 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2 -- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 98 Β· πŸ“₯ 4 Β· πŸ“¦ 22 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 07.06.2023): +- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 98 Β· πŸ“₯ 4 Β· πŸ“¦ 23 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 07.06.2023): ``` git clone https://github.com/linkedin/greykite @@ -4258,28 +4187,28 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install luminol ```
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pydlm (πŸ₯‰20 Β· ⭐ 460) - A python library for Bayesian time series modeling. BSD-3 +
tick (πŸ₯‰21 Β· ⭐ 440 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 -- [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 97 Β· πŸ“¦ 32 Β· πŸ“‹ 47 - 78% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/X-DataInitiative/tick) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 96 Β· πŸ“₯ 290 Β· πŸ“¦ 71 Β· πŸ“‹ 240 - 28% open Β· ⏱️ 05.03.2023): ``` - git clone https://github.com/wwrechard/pydlm + git clone https://github.com/X-DataInitiative/tick ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 32K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): +- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): ``` - pip install pydlm + pip install tick ```
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tick (πŸ₯‰20 Β· ⭐ 440 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 +
pydlm (πŸ₯‰20 Β· ⭐ 460) - A python library for Bayesian time series modeling. BSD-3 -- [GitHub](https://github.com/X-DataInitiative/tick) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 96 Β· πŸ“₯ 280 Β· πŸ“¦ 70 Β· πŸ“‹ 240 - 28% open Β· ⏱️ 05.03.2023): +- [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 97 Β· πŸ“¦ 32 Β· πŸ“‹ 47 - 78% open Β· ⏱️ 04.09.2023): ``` - git clone https://github.com/X-DataInitiative/tick + git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 990 / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 32K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): ``` - pip install tick + pip install pydlm ```
Auto TS (πŸ₯‰19 Β· ⭐ 620) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 @@ -4289,7 +4218,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 3.6K / month Β· ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 3.8K / month Β· ⏱️ 16.08.2022): ``` pip install auto-ts ``` @@ -4301,7 +4230,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 260 / month Β· ⏱️ 11.10.2022): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 210 / month Β· ⏱️ 11.10.2022): ``` pip install tsflex ``` @@ -4312,13 +4241,13 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Show 7 hidden projects... -- PyFlux (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - Open source time series library for Python. BSD-3 +- PyFlux (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 - ADTK (πŸ₯‰20 Β· ⭐ 970 Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 - seglearn (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 - matrixprofile-ts (πŸ₯‰19 Β· ⭐ 720 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 - atspy (πŸ₯‰14 Β· ⭐ 500 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tsaug (πŸ₯‰13 Β· ⭐ 320 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 -- tslumen (πŸ₯‰8 Β· ⭐ 50 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2 +- tslumen (πŸ₯‰8 Β· ⭐ 51 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2

@@ -4328,9 +4257,9 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._ -
MNE (πŸ₯‡38 Β· ⭐ 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 +
MNE (πŸ₯‡39 Β· ⭐ 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.2K Β· πŸ“¦ 3K Β· πŸ“‹ 4.7K - 11% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.2K Β· πŸ“¦ 3K Β· πŸ“‹ 4.7K - 11% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/mne-tools/mne-python @@ -4346,12 +4275,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (πŸ₯‡36 Β· ⭐ 4.7K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 880 Β· πŸ“¦ 1.4K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 880 Β· πŸ“¦ 1.4K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 86K / month Β· πŸ“¦ 43 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 87K / month Β· πŸ“¦ 44 Β· ⏱️ 11.10.2023): ``` pip install monai ``` @@ -4362,12 +4291,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (πŸ₯ˆ35 Β· ⭐ 1K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 530 Β· πŸ“₯ 140 Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.9K - 15% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 530 Β· πŸ“₯ 140 Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.9K - 15% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 40K / month Β· πŸ“¦ 280 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 44K / month Β· πŸ“¦ 280 Β· ⏱️ 29.09.2023): ``` pip install nilearn ``` @@ -4378,12 +4307,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
DIPY (πŸ₯ˆ34 Β· ⭐ 620) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 -- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 380 Β· πŸ“¦ 880 Β· πŸ“‹ 870 - 17% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 380 Β· πŸ“¦ 890 Β· πŸ“‹ 880 - 17% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/dipy/dipy ``` -- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 15K / month Β· πŸ“¦ 100 Β· ⏱️ 11.03.2022): +- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 14K / month Β· πŸ“¦ 100 Β· ⏱️ 11.03.2022): ``` pip install dipy ``` @@ -4399,7 +4328,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 370K / month Β· πŸ“¦ 120 Β· ⏱️ 13.09.2023): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 400K / month Β· πŸ“¦ 120 Β· ⏱️ 13.09.2023): ``` pip install lifelines ``` @@ -4410,40 +4339,56 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (πŸ₯ˆ33 Β· ⭐ 890) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 2.2K - 6% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 2.2K - 6% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 18K / month Β· πŸ“¦ 16 Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 19K / month Β· πŸ“¦ 16 Β· ⏱️ 21.09.2023): ``` pip install hail ```
-
NIPYPE (πŸ₯ˆ33 Β· ⭐ 700) - Workflows and interfaces for neuroimaging packages. Apache-2 +
NIPYPE (πŸ₯ˆ33 Β· ⭐ 700) - Workflows and interfaces for neuroimaging packages. Apache-2 + +- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 510 Β· πŸ“¦ 3.6K Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 28.09.2023): + + ``` + git clone https://github.com/nipy/nipype + ``` +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 76K / month Β· πŸ“¦ 170 Β· ⏱️ 21.05.2017): + ``` + pip install nipype + ``` +- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 580K Β· ⏱️ 22.09.2023): + ``` + conda install -c conda-forge nipype + ``` +
+
NiBabel (πŸ₯ˆ33 Β· ⭐ 590) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 510 Β· πŸ“¦ 3.6K Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 250 Β· πŸ“¦ 15K Β· πŸ“‹ 510 - 24% open Β· ⏱️ 06.10.2023): ``` - git clone https://github.com/nipy/nipype + git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 74K / month Β· πŸ“¦ 170 Β· ⏱️ 21.05.2017): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 270K / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.04.2023): ``` - pip install nipype + pip install nibabel ``` -- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 580K Β· ⏱️ 22.09.2023): +- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 650K Β· ⏱️ 29.09.2023): ``` - conda install -c conda-forge nipype + conda install -c conda-forge nibabel ```
-
NIPY (πŸ₯‰27 Β· ⭐ 350) - Neuroimaging in Python FMRI analysis package. BSD-3 +
NIPY (πŸ₯‰28 Β· ⭐ 350) - Neuroimaging in Python FMRI analysis package. BSD-3 -- [GitHub](https://github.com/nipy/nipy) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 160 - 27% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/nipy/nipy) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 160 - 27% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/nipy/nipy ``` -- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 1.7K / month Β· πŸ“¦ 50 Β· ⏱️ 29.03.2021): +- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 2.1K / month Β· πŸ“¦ 50 Β· ⏱️ 29.03.2021): ``` pip install nipy ``` @@ -4459,7 +4404,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/google/deepvariant ``` -- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 57K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 58K Β· ⏱️ 16.06.2023): ``` conda install -c bioconda deepvariant ``` @@ -4471,20 +4416,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 100 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 110 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): ``` pip install brainiak ``` -- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (πŸ“₯ 1.2K Β· ⭐ 1 Β· ⏱️ 15.10.2020): +- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (πŸ“₯ 1.3K Β· ⭐ 1 Β· ⏱️ 15.10.2020): ``` docker pull brainiak/brainiak ```
-
Show 9 hidden projects... +
Show 8 hidden projects... -- NiBabel (πŸ₯ˆ31 Β· ⭐ 580) - Python package to access a cacophony of neuro-imaging file formats. ❗Unlicensed - NiftyNet (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 -- MedPy (πŸ₯‰22 Β· ⭐ 500 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 +- MedPy (πŸ₯‰22 Β· ⭐ 510 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 - DLTK (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Glow (πŸ₯‰19 Β· ⭐ 240 Β· πŸ’€) - An open-source toolkit for large-scale genomic analysis. Apache-2 - Medical Detection Toolkit (πŸ₯‰15 Β· ⭐ 1.2K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 @@ -4507,19 +4451,19 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 220 / month Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 330 / month Β· ⏱️ 14.08.2023): ``` pip install carefree-learn ```
pytorch_tabular (πŸ₯‰19 Β· ⭐ 1K) - A standard framework for modelling Deep Learning Models for.. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 110 Β· πŸ“₯ 21 Β· πŸ“‹ 110 - 6% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 110 Β· πŸ“₯ 21 Β· πŸ“‹ 120 - 11% open Β· ⏱️ 19.07.2023): ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 2.5K / month): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 3.3K / month Β· πŸ“¦ 2 Β· ⏱️ 01.09.2021): ``` pip install pytorch_tabular ``` @@ -4527,8 +4471,8 @@ _Libraries for processing tabular and structured data._
Show 3 hidden projects... - miceforest (πŸ₯‡21 Β· ⭐ 260 Β· πŸ’€) - Multiple Imputation with LightGBM in Python. MIT -- upgini (πŸ₯‰19 Β· ⭐ 250) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 -- deltapy (πŸ₯‰13 Β· ⭐ 510 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT +- upgini (πŸ₯ˆ20 Β· ⭐ 250) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 +- deltapy (πŸ₯‰13 Β· ⭐ 520 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT

@@ -4540,96 +4484,96 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (πŸ₯‡39 Β· ⭐ 34K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 6.6K Β· πŸ“¦ 1.8K Β· πŸ“‹ 8.1K - 10% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 6.6K Β· πŸ“¦ 1.9K Β· πŸ“‹ 8.1K - 10% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 70K / month Β· πŸ“¦ 30 Β· ⏱️ 15.09.2023): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 76K / month): ``` pip install paddleocr ```
EasyOCR (πŸ₯‡36 Β· ⭐ 20K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“₯ 6.6M Β· πŸ“¦ 3.8K Β· πŸ“‹ 870 - 33% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“₯ 6.7M Β· πŸ“¦ 3.9K Β· πŸ“‹ 870 - 33% open Β· ⏱️ 04.09.2023): ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 170K / month Β· πŸ“¦ 69 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 180K / month Β· πŸ“¦ 69 Β· ⏱️ 04.09.2023): ``` pip install easyocr ```
-
Tesseract (πŸ₯ˆ34 Β· ⭐ 5.1K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR).. Apache-2 +
OCRmyPDF (πŸ₯ˆ33 Β· ⭐ 10K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 680 Β· πŸ“‹ 350 - 4% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 760 Β· πŸ“₯ 590 Β· πŸ“¦ 620 Β· πŸ“‹ 1K - 10% open Β· ⏱️ 10.10.2023): ``` - git clone https://github.com/madmaze/pytesseract + git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.1M / month Β· πŸ“¦ 1.1K Β· ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 47K / month Β· πŸ“¦ 17 Β· ⏱️ 10.10.2023): ``` - pip install pytesseract + pip install ocrmypdf ``` -- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 580K Β· ⏱️ 12.09.2023): +- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 57K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge pytesseract + conda install -c conda-forge ocrmypdf ```
-
OCRmyPDF (πŸ₯ˆ33 Β· ⭐ 10K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 +
tesserocr (πŸ₯ˆ31 Β· ⭐ 1.9K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 760 Β· πŸ“₯ 500 Β· πŸ“¦ 610 Β· πŸ“‹ 1K - 10% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 250 Β· πŸ“₯ 52 Β· πŸ“¦ 890 Β· πŸ“‹ 260 - 17% open Β· ⏱️ 09.10.2023): ``` - git clone https://github.com/ocrmypdf/OCRmyPDF + git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 44K / month Β· πŸ“¦ 17 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 62K / month): ``` - pip install ocrmypdf + pip install tesserocr ``` -- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 57K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tesserocr) (πŸ“₯ 130K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge ocrmypdf + conda install -c conda-forge tesserocr ```
-
tesserocr (πŸ₯ˆ31 Β· ⭐ 1.8K) - A Python wrapper for the tesseract-ocr API. MIT +
Tesseract (πŸ₯ˆ29 Β· ⭐ 5.1K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR).. Apache-2 -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 250 Β· πŸ“₯ 51 Β· πŸ“¦ 890 Β· πŸ“‹ 290 - 25% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 660 Β· πŸ“‹ 340 - 2% open Β· ⏱️ 09.10.2023): ``` - git clone https://github.com/sirfz/tesserocr + git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 60K / month Β· πŸ“¦ 72 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.1M / month): ``` - pip install tesserocr + pip install pytesseract ``` -- [Conda](https://anaconda.org/conda-forge/tesserocr) (πŸ“₯ 120K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 590K Β· ⏱️ 12.09.2023): ``` - conda install -c conda-forge tesserocr + conda install -c conda-forge pytesseract ```
MMOCR (πŸ₯‰27 Β· ⭐ 3.7K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 680 Β· πŸ“¦ 87 Β· πŸ“‹ 880 - 16% open Β· ⏱️ 01.09.2023): +- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 680 Β· πŸ“¦ 88 Β· πŸ“‹ 880 - 16% open Β· ⏱️ 01.09.2023): ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 4.8K / month Β· πŸ“¦ 2 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 4.9K / month Β· πŸ“¦ 2 Β· ⏱️ 05.05.2022): ``` pip install mmocr ```
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keras-ocr (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - A packaged and flexible version of the CRAFT text detector.. MIT +
keras-ocr (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - A packaged and flexible version of the CRAFT text detector.. MIT -- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 300 Β· πŸ“₯ 650K Β· πŸ“¦ 320 Β· πŸ“‹ 200 - 44% open Β· ⏱️ 24.12.2022): +- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 300 Β· πŸ“₯ 660K Β· πŸ“¦ 330 Β· πŸ“‹ 200 - 44% open Β· ⏱️ 24.12.2022): ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 11K / month Β· πŸ“¦ 5 Β· ⏱️ 24.12.2022): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 11K / month): ``` pip install keras-ocr ``` @@ -4654,7 +4598,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag - pdftabextract (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 - attention-ocr (πŸ₯‰21 Β· ⭐ 960 Β· πŸ’€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT -- doc2text (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT +- doc2text (πŸ₯‰18 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT - Mozart (πŸ₯‰10 Β· ⭐ 510 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2

@@ -4707,28 +4651,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡44 Β· ⭐ 28K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 920 Β· πŸ”€ 4.7K Β· πŸ“₯ 89 Β· πŸ“¦ 12K Β· πŸ“‹ 16K - 20% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 930 Β· πŸ”€ 4.7K Β· πŸ“₯ 89 Β· πŸ“¦ 12K Β· πŸ“‹ 16K - 20% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 2.2M / month Β· πŸ“¦ 420 Β· ⏱️ 17.09.2023): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 2.3M / month Β· πŸ“¦ 420 Β· ⏱️ 09.10.2023): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 170K Β· ⏱️ 17.08.2023): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 170K Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge ray-tune ```
dask (πŸ₯‡43 Β· ⭐ 11K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 1.6K Β· πŸ“¦ 53K Β· πŸ“‹ 5K - 19% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 1.6K Β· πŸ“¦ 53K Β· πŸ“‹ 5K - 19% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 8.3M / month Β· πŸ“¦ 3K Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 8.2M / month Β· πŸ“¦ 3K Β· ⏱️ 29.09.2023): ``` pip install dask ``` @@ -4739,12 +4683,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
DeepSpeed (πŸ₯‡41 Β· ⭐ 29K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 3.4K Β· πŸ“¦ 4.3K Β· πŸ“‹ 2.2K - 36% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 3.4K Β· πŸ“¦ 4.4K Β· πŸ“‹ 2.2K - 36% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 360K / month Β· πŸ“¦ 73 Β· ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 350K / month Β· πŸ“¦ 79 Β· ⏱️ 09.10.2023): ``` pip install deepspeed ``` @@ -4755,12 +4699,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡40 Β· ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 31K Β· πŸ“‹ 3.7K - 38% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 31K Β· πŸ“‹ 3.7K - 38% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.5M / month Β· πŸ“¦ 1.3K Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.3M / month Β· πŸ“¦ 1.3K Β· ⏱️ 29.09.2023): ``` pip install distributed ``` @@ -4776,14 +4720,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 56K / month Β· πŸ“¦ 34 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 53K / month Β· πŸ“¦ 34 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.5K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 16 Β· πŸ“‹ 9.1K - 29% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 18 Β· πŸ“‹ 9.2K - 29% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/h2oai/h2o-3 @@ -4795,12 +4739,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
BigDL (πŸ₯ˆ35 Β· ⭐ 4.4K) - Accelerate LLM with low-bit (INT3 / INT4 / NF4 / INT5 / INT8).. Apache-2 -- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.1K Β· πŸ“¦ 45 Β· πŸ“‹ 2.1K - 38% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.1K Β· πŸ“¦ 45 Β· πŸ“‹ 2.1K - 38% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 6.1K / month Β· πŸ“¦ 1 Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 6.2K / month Β· πŸ“¦ 1 Β· ⏱️ 12.10.2023): ``` pip install bigdl ``` @@ -4815,7 +4759,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
metrics (πŸ₯ˆ35 Β· ⭐ 1.7K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 320 Β· πŸ“₯ 3.9K Β· πŸ“¦ 16K Β· πŸ“‹ 700 - 6% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 330 Β· πŸ“₯ 4K Β· πŸ“¦ 16K Β· πŸ“‹ 710 - 6% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/Lightning-AI/metrics @@ -4829,9 +4773,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge torchmetrics ```
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ColossalAI (πŸ₯ˆ33 Β· ⭐ 35K) - Making large AI models cheaper, faster and more accessible. Apache-2 +
ColossalAI (πŸ₯ˆ34 Β· ⭐ 35K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 3.9K Β· πŸ“¦ 260 Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.9K Β· πŸ“¦ 260 Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/hpcaitech/colossalai @@ -4839,12 +4783,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (πŸ₯ˆ31 Β· ⭐ 2.6K) - PyTorch extensions for high performance and large scale training. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“¦ 3.1K Β· πŸ“‹ 350 - 19% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“¦ 3.2K Β· πŸ“‹ 350 - 19% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 530K / month Β· πŸ“¦ 58 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 500K / month Β· πŸ“¦ 58 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4855,7 +4799,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
SynapseML (πŸ₯ˆ30 Β· ⭐ 4.6K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 790 Β· πŸ“‹ 710 - 44% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 790 Β· πŸ“‹ 710 - 44% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/microsoft/SynapseML @@ -4867,7 +4811,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
mpi4py (πŸ₯ˆ29 Β· ⭐ 690) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 98 Β· πŸ“₯ 16K Β· πŸ“‹ 120 - 8% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“₯ 17K Β· πŸ“‹ 130 - 9% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/mpi4py/mpi4py @@ -4881,7 +4825,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge mpi4py ```
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Submit it (πŸ₯ˆ28 Β· ⭐ 950) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT +
Submit it (πŸ₯ˆ28 Β· ⭐ 960) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT - [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 1.6K Β· πŸ“‹ 110 - 32% open Β· ⏱️ 05.10.2023): @@ -4899,12 +4843,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask-ml (πŸ₯ˆ28 Β· ⭐ 870 Β· πŸ’€) - Scalable Machine Learning with Dask. BSD-3 -- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 240 Β· πŸ“¦ 870 Β· πŸ“‹ 520 - 51% open Β· ⏱️ 24.03.2023): +- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 240 Β· πŸ“¦ 880 Β· πŸ“‹ 520 - 51% open Β· ⏱️ 24.03.2023): ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 180K / month Β· πŸ“¦ 72 Β· ⏱️ 06.05.2020): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 170K / month Β· πŸ“¦ 72 Β· ⏱️ 06.05.2020): ``` pip install dask-ml ``` @@ -4920,7 +4864,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 480K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 470K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` @@ -4931,48 +4875,48 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Mesh (πŸ₯‰27 Β· ⭐ 1.5K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 -- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 240 Β· πŸ“¦ 850 Β· πŸ“‹ 110 - 85% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 240 Β· πŸ“¦ 860 Β· πŸ“‹ 110 - 85% open Β· ⏱️ 16.05.2023): ``` git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 17K / month Β· πŸ“¦ 33 Β· ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 19K / month Β· πŸ“¦ 33 Β· ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ```
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petastorm (πŸ₯‰26 Β· ⭐ 1.7K Β· πŸ’€) - Petastorm library enables single machine or distributed.. Apache-2 +
Hivemind (πŸ₯‰26 Β· ⭐ 1.7K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT -- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 280 Β· πŸ“₯ 430 Β· πŸ“¦ 140 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 03.02.2023): +- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 110 Β· πŸ“¦ 72 Β· πŸ“‹ 160 - 37% open Β· ⏱️ 08.10.2023): ``` - git clone https://github.com/uber/petastorm + git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 33K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 4K / month Β· πŸ“¦ 6 Β· ⏱️ 31.08.2023): ``` - pip install petastorm + pip install hivemind ```
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Hivemind (πŸ₯‰25 Β· ⭐ 1.7K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT +
petastorm (πŸ₯‰26 Β· ⭐ 1.7K Β· πŸ’€) - Petastorm library enables single machine or distributed.. Apache-2 -- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 110 Β· πŸ“¦ 72 Β· πŸ“‹ 160 - 37% open Β· ⏱️ 05.09.2023): +- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 280 Β· πŸ“₯ 430 Β· πŸ“¦ 140 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 03.02.2023): ``` - git clone https://github.com/learning-at-home/hivemind + git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 4.3K / month Β· πŸ“¦ 6 Β· ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 33K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): ``` - pip install hivemind + pip install petastorm ```
MMLSpark (πŸ₯‰24 Β· ⭐ 4.6K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 760 Β· πŸ“‹ 680 - 42% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 790 Β· πŸ“‹ 710 - 44% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/mmlspark): +- [PyPi](https://pypi.org/project/mmlspark) (⏱️ 18.03.2020): ``` pip install mmlspark ``` @@ -4984,26 +4928,26 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 780 / month Β· πŸ“¦ 1 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 900 / month Β· πŸ“¦ 1 Β· ⏱️ 07.07.2022): ``` pip install analytics-zoo ```
launchpad (πŸ₯‰22 Β· ⭐ 300) - Launchpad is a library that simplifies writing distributed.. Apache-2 -- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 68 Β· πŸ“‹ 38 - 44% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 69 Β· πŸ“‹ 38 - 44% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/deepmind/launchpad ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 2.4K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 2.3K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install dm-launchpad ```
Apache Singa (πŸ₯‰21 Β· ⭐ 3K) - a distributed deep learning platform. Apache-2 -- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 1K Β· πŸ“¦ 2 Β· πŸ“‹ 96 - 25% open Β· ⏱️ 02.04.2023): +- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 1K Β· πŸ“¦ 2 Β· πŸ“‹ 120 - 42% open Β· ⏱️ 02.04.2023): ``` git clone https://github.com/apache/singa @@ -5012,14 +4956,14 @@ _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“₯ 4K Β· ⭐ 4 Β· ⏱️ 31.05.2022): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 4.1K Β· ⭐ 4 Β· ⏱️ 31.05.2022): ``` docker pull apache/singa ```
mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.1K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 -- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 870 Β· πŸ“¦ 16 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 12.01.2023): +- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 870 Β· πŸ“¦ 18 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 12.01.2023): ``` git clone https://github.com/kingoflolz/mesh-transformer-jax @@ -5035,16 +4979,16 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Show 12 hidden projects... -- DEAP (πŸ₯ˆ33 Β· ⭐ 5.3K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 +- DEAP (πŸ₯ˆ35 Β· ⭐ 5.3K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (πŸ₯ˆ29 Β· ⭐ 2.5K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed -- Elephas (πŸ₯‰26 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras +- Elephas (πŸ₯‰27 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras - BytePS (πŸ₯‰21 Β· ⭐ 3.5K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 - TensorFrames (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 - sk-dist (πŸ₯‰20 Β· ⭐ 280 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - somoclu (πŸ₯‰20 Β· ⭐ 250 Β· πŸ’€) - Massively parallel self-organizing maps: accelerate training on.. MIT +- Fiber (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 - parallelformers (πŸ₯‰17 Β· ⭐ 720 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 -- Fiber (πŸ₯‰15 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 - LazyCluster (πŸ₯‰12 Β· ⭐ 49 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 - autodist (πŸ₯‰10 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2
@@ -5056,14 +5000,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn _Libraries for hyperparameter optimization, automl and neural architecture search._ -
NNI (πŸ₯‡35 Β· ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT +
NNI (πŸ₯‡34 Β· ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT - [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 480 Β· πŸ“‹ 2K - 16% open Β· ⏱️ 07.08.2023): ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 21K / month Β· πŸ“¦ 35 Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 23K / month Β· πŸ“¦ 35 Β· ⏱️ 14.09.2023): ``` pip install nni ``` @@ -5086,44 +5030,60 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡34 Β· ⭐ 2.1K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 270 Β· πŸ“¦ 550 Β· πŸ“‹ 610 - 8% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 270 Β· πŸ“¦ 560 Β· πŸ“‹ 610 - 8% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 140K / month Β· πŸ“¦ 25 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 120K / month Β· πŸ“¦ 25 Β· ⏱️ 11.08.2023): ``` pip install ax-platform ``` -- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 13K Β· ⏱️ 12.08.2023): +- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 14K Β· ⏱️ 12.08.2023): ``` conda install -c conda-forge ax-platform ```
+
Hyperopt (πŸ₯‡33 Β· ⭐ 6.9K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 + +- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 12K Β· πŸ“‹ 690 - 50% open Β· ⏱️ 29.09.2023): + + ``` + git clone https://github.com/hyperopt/hyperopt + ``` +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 1.9M / month Β· πŸ“¦ 490 Β· ⏱️ 17.11.2021): + ``` + pip install hyperopt + ``` +- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 730K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge hyperopt + ``` +
BoTorch (πŸ₯‡33 Β· ⭐ 2.8K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 330 Β· πŸ“¦ 690 Β· πŸ“‹ 440 - 16% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 330 Β· πŸ“¦ 700 Β· πŸ“‹ 450 - 15% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 220K / month Β· πŸ“¦ 31 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 200K / month Β· πŸ“¦ 31 Β· ⏱️ 11.08.2023): ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 86K Β· ⏱️ 11.08.2023): +- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 87K Β· ⏱️ 11.08.2023): ``` conda install -c conda-forge botorch ```
Keras Tuner (πŸ₯ˆ32 Β· ⭐ 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2 -- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 380 Β· πŸ“¦ 2.7K Β· πŸ“‹ 460 - 43% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 380 Β· πŸ“¦ 2.7K Β· πŸ“‹ 460 - 43% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 200K / month Β· πŸ“¦ 58 Β· ⏱️ 02.10.2023): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 210K / month Β· πŸ“¦ 58 Β· ⏱️ 02.10.2023): ``` pip install keras-tuner ``` @@ -5134,24 +5094,24 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoKeras (πŸ₯ˆ31 Β· ⭐ 8.9K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 16K Β· πŸ“¦ 570 Β· πŸ“‹ 890 - 14% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 16K Β· πŸ“¦ 580 Β· πŸ“‹ 890 - 14% open Β· ⏱️ 02.10.2023): ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 12K / month Β· πŸ“¦ 11 Β· ⏱️ 30.04.2022): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 13K / month Β· πŸ“¦ 11 Β· ⏱️ 30.04.2022): ``` pip install autokeras ```
auto-sklearn (πŸ₯ˆ31 Β· ⭐ 7.2K) - Automated Machine Learning with scikit-learn. BSD-3 -- [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.2K Β· πŸ“₯ 50 Β· πŸ“¦ 490 Β· πŸ“‹ 1K - 16% open Β· ⏱️ 18.04.2023): +- [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.2K Β· πŸ“₯ 50 Β· πŸ“¦ 490 Β· πŸ“‹ 1K - 17% open Β· ⏱️ 18.04.2023): ``` git clone https://github.com/automl/auto-sklearn ``` -- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 25K / month Β· πŸ“¦ 39 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 27K / month Β· πŸ“¦ 39 Β· ⏱️ 20.09.2022): ``` pip install auto-sklearn ``` @@ -5160,58 +5120,58 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge auto-sklearn ```
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nevergrad (πŸ₯ˆ31 Β· ⭐ 3.6K) - A Python toolbox for performing gradient-free optimization. MIT +
Bayesian Optimization (πŸ₯ˆ31 Β· ⭐ 7K) - A Python implementation of global optimization with.. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 340 Β· πŸ“¦ 540 Β· πŸ“‹ 290 - 41% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 1.5K Β· πŸ“₯ 140 Β· πŸ“¦ 2.1K Β· πŸ“‹ 320 - 4% open Β· ⏱️ 14.07.2023): ``` - git clone https://github.com/facebookresearch/nevergrad - ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 85K / month Β· πŸ“¦ 27 Β· ⏱️ 02.10.2023): - ``` - pip install nevergrad + git clone https://github.com/fmfn/BayesianOptimization ``` -- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 42K Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 190K / month Β· πŸ“¦ 100 Β· ⏱️ 25.04.2023): ``` - conda install -c conda-forge nevergrad + pip install bayesian-optimization ```
-
Bayesian Optimization (πŸ₯ˆ30 Β· ⭐ 7K) - A Python implementation of global optimization with.. MIT +
nevergrad (πŸ₯ˆ31 Β· ⭐ 3.6K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 1.5K Β· πŸ“₯ 140 Β· πŸ“¦ 2.1K Β· πŸ“‹ 320 - 3% open Β· ⏱️ 14.07.2023): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 340 Β· πŸ“¦ 550 Β· πŸ“‹ 290 - 40% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/fmfn/BayesianOptimization + git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 200K / month Β· πŸ“¦ 100 Β· ⏱️ 25.04.2023): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 78K / month Β· πŸ“¦ 27 Β· ⏱️ 10.10.2023): ``` - pip install bayesian-optimization + pip install nevergrad + ``` +- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 42K Β· ⏱️ 21.09.2023): + ``` + conda install -c conda-forge nevergrad ```
AutoGluon (πŸ₯ˆ29 Β· ⭐ 6.3K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“¦ 2 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“¦ 2 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 42K / month Β· πŸ“¦ 7 Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 43K / month Β· πŸ“¦ 7 Β· ⏱️ 12.10.2023): ``` pip install autogluon ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 4K Β· ⭐ 15 Β· ⏱️ 26.07.2023): +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 4.1K Β· ⭐ 15 Β· ⏱️ 26.07.2023): ``` docker pull autogluon/autogluon ```
mljar-supervised (πŸ₯ˆ29 Β· ⭐ 2.8K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 360 Β· πŸ“¦ 88 Β· πŸ“‹ 570 - 21% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 360 Β· πŸ“¦ 88 Β· πŸ“‹ 580 - 21% open Β· ⏱️ 29.09.2023): ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 7.4K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 6.7K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): ``` pip install mljar-supervised ``` @@ -5222,7 +5182,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT -- [GitHub](https://github.com/maxpumperla/hyperas) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 320 Β· πŸ“¦ 320 Β· πŸ“‹ 260 - 37% open Β· ⏱️ 05.01.2023): +- [GitHub](https://github.com/maxpumperla/hyperas) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 320 Β· πŸ“¦ 330 Β· πŸ“‹ 260 - 37% open Β· ⏱️ 05.01.2023): ``` git clone https://github.com/maxpumperla/hyperas @@ -5239,7 +5199,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/SheffieldML/GPyOpt ``` -- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 7.7K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): +- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 7.8K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): ``` pip install gpyopt ``` @@ -5251,33 +5211,33 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 960 / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): ``` pip install fedot ```
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featurewiz (πŸ₯‰22 Β· ⭐ 470) - Use advanced feature engineering strategies and select best.. Apache-2 +
Hyperactive (πŸ₯ˆ23 Β· ⭐ 470) - An optimization and data collection toolbox for convenient and fast.. MIT -- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 74 Β· πŸ“¦ 51 Β· πŸ“‹ 71 - 2% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 41 Β· πŸ“₯ 130 Β· πŸ“¦ 21 Β· πŸ“‹ 62 - 17% open Β· ⏱️ 08.10.2023): ``` - git clone https://github.com/AutoViML/featurewiz + git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 14K / month Β· πŸ“¦ 2 Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 1.3K / month Β· πŸ“¦ 5 Β· ⏱️ 27.08.2023): ``` - pip install featurewiz + pip install hyperactive ```
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Hyperactive (πŸ₯‰22 Β· ⭐ 470) - An optimization and data collection toolbox for convenient and fast.. MIT +
featurewiz (πŸ₯‰22 Β· ⭐ 470) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 41 Β· πŸ“₯ 130 Β· πŸ“¦ 21 Β· πŸ“‹ 62 - 17% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 75 Β· πŸ“¦ 53 Β· πŸ“‹ 71 - 2% open Β· ⏱️ 06.10.2023): ``` - git clone https://github.com/SimonBlanke/Hyperactive + git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 530 / month Β· πŸ“¦ 5 Β· ⏱️ 27.08.2023): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 9.6K / month Β· πŸ“¦ 2 Β· ⏱️ 05.10.2023): ``` - pip install hyperactive + pip install featurewiz ```
Auto ViML (πŸ₯‰20 Β· ⭐ 470) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 @@ -5311,7 +5271,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 120 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 130 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ``` @@ -5323,7 +5283,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/dragonfly/dragonfly ``` -- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 47K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2022): +- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 41K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2022): ``` pip install dragonfly-opt ``` @@ -5335,20 +5295,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 260 / month Β· ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 280 / month Β· ⏱️ 04.05.2022): ``` pip install opytimizer ```
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Show 31 hidden projects... +
Show 30 hidden projects... - Optuna (πŸ₯‡39 Β· ⭐ 8.7K) - A hyperparameter optimization framework. ❗Unlicensed -- TPOT (πŸ₯‡33 Β· ⭐ 9.2K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 +- TPOT (πŸ₯‡33 Β· ⭐ 9.3K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (πŸ₯‡33 Β· ⭐ 2.7K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 -- Hyperopt (πŸ₯ˆ30 Β· ⭐ 6.9K) - Distributed Asynchronous Hyperparameter Optimization in Python. ❗Unlicensed -- lazypredict (πŸ₯ˆ25 Β· ⭐ 2.1K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT +- lazypredict (πŸ₯ˆ25 Β· ⭐ 2.2K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT - SMAC3 (πŸ₯ˆ25 Β· ⭐ 910) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause -- Orion (πŸ₯ˆ25 Β· ⭐ 260) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 +- Orion (πŸ₯ˆ25 Β· ⭐ 270) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - AdaNet (πŸ₯ˆ23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - Talos (πŸ₯ˆ23 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT - auto_ml (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT @@ -5364,9 +5323,9 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Sherpa (πŸ₯‰18 Β· ⭐ 320 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - Advisor (πŸ₯‰17 Β· ⭐ 1.5K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - automl-gs (πŸ₯‰16 Β· ⭐ 1.8K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT -- Xcessiv (πŸ₯‰16 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - HyperparameterHunter (πŸ₯‰16 Β· ⭐ 700 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - Parfit (πŸ₯‰16 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT +- Xcessiv (πŸ₯‰15 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - ENAS (πŸ₯‰13 Β· ⭐ 2.6K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (πŸ₯‰12 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypermax (πŸ₯‰12 Β· ⭐ 110) - Better, faster hyper-parameter optimization. BSD-3 @@ -5400,12 +5359,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
TF-Agents (πŸ₯‡32 Β· ⭐ 2.6K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 690 Β· πŸ“¦ 1.3K Β· πŸ“‹ 640 - 28% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 690 Β· πŸ“¦ 1.3K Β· πŸ“‹ 640 - 28% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 29K / month Β· πŸ“¦ 5 Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 32K / month Β· πŸ“¦ 5 Β· ⏱️ 03.10.2023): ``` pip install tf-agents ``` @@ -5422,26 +5381,42 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst pip install vizdoom ```
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FinRL (πŸ₯ˆ29 Β· ⭐ 8.2K) - FinRL: Financial Reinforcement Learning. MIT +
FinRL (πŸ₯ˆ30 Β· ⭐ 8.2K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2K Β· πŸ“¦ 23 Β· πŸ“‹ 640 - 26% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2K Β· πŸ“¦ 23 Β· πŸ“‹ 640 - 26% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.2K / month): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.2K / month Β· ⏱️ 08.01.2022): ``` pip install finrl ```
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Acme (πŸ₯ˆ28 Β· ⭐ 3.2K) - A library of reinforcement learning components and agents. Apache-2 + +- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 400 Β· πŸ“¦ 170 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 09.10.2023): + + ``` + git clone https://github.com/deepmind/acme + ``` +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.1K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): + ``` + pip install dm-acme + ``` +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 7.6K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge dm-acme + ``` +
Dopamine (πŸ₯ˆ27 Β· ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2 -- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 16 Β· πŸ“‹ 180 - 53% open Β· ⏱️ 29.06.2023): +- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 18 Β· πŸ“‹ 180 - 52% open Β· ⏱️ 29.06.2023): ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 34K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 32K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): ``` pip install dopamine-rl ``` @@ -5465,27 +5440,11 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 610 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 600 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ```
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Acme (πŸ₯ˆ27 Β· ⭐ 3.2K) - A library of reinforcement learning components and agents. Apache-2 - -- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 400 Β· πŸ“¦ 170 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 30.08.2023): - - ``` - git clone https://github.com/deepmind/acme - ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.1K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): - ``` - pip install dm-acme - ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 7.6K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge dm-acme - ``` -
RLax (πŸ₯‰26 Β· ⭐ 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2 - [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 78 Β· πŸ“¦ 170 Β· πŸ“‹ 30 - 40% open Β· ⏱️ 15.08.2023): @@ -5493,7 +5452,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 280K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 290K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): ``` pip install rlax ``` @@ -5505,7 +5464,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 570 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 590 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ``` @@ -5517,7 +5476,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/rlworkgroup/garage ``` -- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 560 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): +- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 460 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): ``` pip install garage ``` @@ -5536,12 +5495,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
PFRL (πŸ₯‰21 Β· ⭐ 1.1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT -- [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 140 Β· πŸ“¦ 91 Β· πŸ“‹ 78 - 42% open Β· ⏱️ 16.07.2023): +- [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 140 Β· πŸ“¦ 92 Β· πŸ“‹ 78 - 42% open Β· ⏱️ 16.07.2023): ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 340 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 380 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ``` @@ -5553,14 +5512,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/IntelLabs/coach ``` -- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 68 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): +- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 65 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): ``` pip install rl_coach ```
rliable (πŸ₯‰13 Β· ⭐ 620) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 -- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 41 Β· πŸ“¦ 89 Β· πŸ“‹ 13 - 15% open Β· ⏱️ 29.05.2023): +- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 41 Β· πŸ“¦ 92 Β· πŸ“‹ 13 - 15% open Β· ⏱️ 29.05.2023): ``` git clone https://github.com/google-research/rliable @@ -5591,28 +5550,28 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (πŸ₯‡34 Β· ⭐ 16K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.8K Β· πŸ“₯ 440 Β· πŸ“¦ 83 Β· πŸ“‹ 800 - 19% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.8K Β· πŸ“₯ 440 Β· πŸ“¦ 84 Β· πŸ“‹ 810 - 19% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 49K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 50K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): ``` pip install recommenders ```
implicit (πŸ₯‡32 Β· ⭐ 3.3K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT -- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 580 Β· πŸ“¦ 1.1K Β· πŸ“‹ 480 - 16% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 580 Β· πŸ“¦ 1.1K Β· πŸ“‹ 480 - 15% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 120K / month Β· πŸ“¦ 38 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 130K / month Β· πŸ“¦ 38 Β· ⏱️ 29.09.2023): ``` pip install implicit ``` -- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 530K Β· ⏱️ 04.10.2023): +- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 540K Β· ⏱️ 12.10.2023): ``` conda install -c conda-forge implicit ``` @@ -5624,7 +5583,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/lyst/lightfm ``` -- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 650K / month Β· πŸ“¦ 47 Β· ⏱️ 27.11.2020): +- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 660K / month Β· πŸ“¦ 47 Β· ⏱️ 27.11.2020): ``` pip install lightfm ``` @@ -5633,21 +5592,21 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge lightfm ```
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TF Recommenders (πŸ₯ˆ29 Β· ⭐ 1.6K) - TensorFlow Recommenders is a library for building.. Apache-2 +
TF Recommenders (πŸ₯ˆ29 Β· ⭐ 1.7K) - TensorFlow Recommenders is a library for building.. Apache-2 -- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 240 Β· πŸ“¦ 250 Β· πŸ“‹ 390 - 53% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 240 Β· πŸ“¦ 250 Β· πŸ“‹ 410 - 56% open Β· ⏱️ 29.09.2023): ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 310K / month): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 330K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ```
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scikit-surprise (πŸ₯ˆ27 Β· ⭐ 6K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 +
scikit-surprise (πŸ₯ˆ28 Β· ⭐ 6K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 -- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 960 Β· πŸ“¦ 16 Β· πŸ“‹ 380 - 19% open Β· ⏱️ 27.01.2023): +- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 960 Β· πŸ“‹ 380 - 19% open Β· ⏱️ 27.01.2023): ``` git clone https://github.com/NicolasHug/Surprise @@ -5656,24 +5615,36 @@ _Libraries for building and evaluating recommendation systems._ ``` pip install scikit-surprise ``` -- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (πŸ“₯ 340K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (πŸ“₯ 340K Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge scikit-surprise ```
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torchrec (πŸ₯ˆ27 Β· ⭐ 1.5K) - Pytorch domain library for recommendation systems. BSD-3 +
TF Ranking (πŸ₯ˆ28 Β· ⭐ 2.7K) - Learning to Rank in TensorFlow. Apache-2 + +- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 470 Β· πŸ“‹ 320 - 25% open Β· ⏱️ 26.09.2023): + + ``` + git clone https://github.com/tensorflow/ranking + ``` +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 100K / month Β· πŸ“¦ 13 Β· ⏱️ 11.08.2023): + ``` + pip install tensorflow_ranking + ``` +
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torchrec (πŸ₯ˆ28 Β· ⭐ 1.5K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 280 Β· πŸ“¦ 66 Β· πŸ“‹ 220 - 58% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 280 Β· πŸ“¦ 66 Β· πŸ“‹ 220 - 58% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 62 / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 72 / month Β· ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ```
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Cornac (πŸ₯ˆ27 Β· ⭐ 750) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 +
Cornac (πŸ₯‰27 Β· ⭐ 750) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 - [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 170 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 25.09.2023): @@ -5689,30 +5660,18 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge cornac ```
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TF Ranking (πŸ₯‰26 Β· ⭐ 2.7K) - Learning to Rank in TensorFlow. Apache-2 - -- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 460 Β· πŸ“‹ 310 - 22% open Β· ⏱️ 26.09.2023): - - ``` - git clone https://github.com/tensorflow/ranking - ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 97K / month): - ``` - pip install tensorflow_ranking - ``` -
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RecBole (πŸ₯‰25 Β· ⭐ 2.8K) - A unified, comprehensive and efficient recommendation library. MIT +
RecBole (πŸ₯‰26 Β· ⭐ 2.9K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 530 Β· πŸ“‹ 800 - 18% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 540 Β· πŸ“‹ 800 - 19% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 2.8K / month): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 2.7K / month Β· πŸ“¦ 2 Β· ⏱️ 25.02.2022): ``` pip install recbole ``` -- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 3.7K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 4K Β· ⏱️ 16.06.2023): ``` conda install -c aibox recbole ``` @@ -5731,13 +5690,13 @@ _Libraries for building and evaluating recommendation systems._
Show 7 hidden projects... +- lkpy (πŸ₯‰23 Β· ⭐ 240) - Python recommendation toolkit. MIT - tensorrec (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 -- lkpy (πŸ₯‰21 Β· ⭐ 240) - Python recommendation toolkit. MIT - Spotlight (πŸ₯‰18 Β· ⭐ 2.9K Β· πŸ’€) - Deep recommender models using PyTorch. MIT - Case Recommender (πŸ₯‰18 Β· ⭐ 440 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT - Collie (πŸ₯‰16 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3 -- OpenRec (πŸ₯‰14 Β· ⭐ 400 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 +- OpenRec (πŸ₯‰15 Β· ⭐ 400 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2

@@ -5747,21 +5706,21 @@ _Libraries for building and evaluating recommendation systems._ _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._ -
PySyft (πŸ₯‡35 Β· ⭐ 8.9K) - Perform data science on data that remains in someone elses server. Apache-2 +
PySyft (πŸ₯‡35 Β· ⭐ 9K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.9K Β· πŸ“₯ 150 Β· πŸ“‹ 3.5K - 4% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.9K Β· πŸ“₯ 210 Β· πŸ“‹ 3.5K - 4% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 4.6K / month Β· πŸ“¦ 5 Β· ⏱️ 02.10.2023): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 4.5K / month Β· πŸ“¦ 5 Β· ⏱️ 09.10.2023): ``` pip install syft ```
Opacus (πŸ₯ˆ28 Β· ⭐ 1.5K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 290 Β· πŸ“₯ 99 Β· πŸ“¦ 660 Β· πŸ“‹ 260 - 27% open Β· ⏱️ 06.09.2023): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 290 Β· πŸ“₯ 99 Β· πŸ“¦ 670 Β· πŸ“‹ 260 - 27% open Β· ⏱️ 06.09.2023): ``` git clone https://github.com/pytorch/opacus @@ -5777,12 +5736,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
TensorFlow Privacy (πŸ₯ˆ27 Β· ⭐ 1.8K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 430 Β· πŸ“₯ 120 Β· πŸ“‹ 200 - 54% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 430 Β· πŸ“₯ 120 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 15K / month Β· πŸ“¦ 14 Β· ⏱️ 19.10.2022): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 15K / month Β· πŸ“¦ 14 Β· ⏱️ 11.10.2023): ``` pip install tensorflow-privacy ``` @@ -5806,7 +5765,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 380 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 420 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): ``` pip install tf-encrypted ``` @@ -5818,7 +5777,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 300 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 320 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ``` @@ -5835,9 +5794,9 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l _Libraries to organize, track, and visualize machine learning experiments._ -
mlflow (πŸ₯‡44 Β· ⭐ 15K) - Open source platform for the machine learning lifecycle. Apache-2 +
mlflow (πŸ₯‡44 Β· ⭐ 16K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 3.6K Β· πŸ“¦ 24K Β· πŸ“‹ 3.4K - 36% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 3.6K Β· πŸ“¦ 25K Β· πŸ“‹ 3.4K - 36% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/mlflow/mlflow @@ -5846,14 +5805,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.5M Β· ⏱️ 21.09.2023): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.6M Β· ⏱️ 21.09.2023): ``` conda install -c conda-forge mlflow ```
Tensorboard (πŸ₯‡43 Β· ⭐ 6.4K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“¦ 190K Β· πŸ“‹ 1.8K - 34% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“¦ 190K Β· πŸ“‹ 1.8K - 34% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/tensorflow/tensorboard @@ -5869,28 +5828,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
wandb client (πŸ₯‡41 Β· ⭐ 7.3K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 550 Β· πŸ“¦ 30K Β· πŸ“‹ 2.8K - 26% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 550 Β· πŸ“¦ 31K Β· πŸ“‹ 2.8K - 26% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 6.6M / month Β· πŸ“¦ 600 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 6.8M / month Β· πŸ“¦ 600 Β· ⏱️ 04.10.2023): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 380K Β· ⏱️ 04.10.2023): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 390K Β· ⏱️ 04.10.2023): ``` conda install -c conda-forge wandb ```
DVC (πŸ₯‡40 Β· ⭐ 12K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 39K Β· πŸ“¦ 9.7K Β· πŸ“‹ 4.5K - 12% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 41K Β· πŸ“¦ 9.9K Β· πŸ“‹ 4.5K - 12% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 700K / month Β· πŸ“¦ 82 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 740K / month Β· πŸ“¦ 82 Β· ⏱️ 09.10.2023): ``` pip install dvc ``` @@ -5901,28 +5860,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
SageMaker SDK (πŸ₯ˆ38 Β· ⭐ 1.9K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1K Β· πŸ“¦ 3.1K Β· πŸ“‹ 1.4K - 35% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1K Β· πŸ“¦ 3.1K Β· πŸ“‹ 1.4K - 35% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 32M / month Β· πŸ“¦ 84 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 29M / month Β· πŸ“¦ 84 Β· ⏱️ 11.10.2023): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 680K Β· ⏱️ 03.10.2023): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 680K Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge sagemaker-python-sdk ```
PyCaret (πŸ₯ˆ37 Β· ⭐ 7.8K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 670 Β· πŸ“¦ 4.5K Β· πŸ“‹ 2.2K - 13% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 670 Β· πŸ“¦ 4.5K Β· πŸ“‹ 2.2K - 13% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 220K / month Β· πŸ“¦ 14 Β· ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 230K / month Β· πŸ“¦ 14 Β· ⏱️ 11.09.2023): ``` pip install pycaret ``` @@ -5931,30 +5890,26 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge pycaret ```
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tensorboardX (πŸ₯ˆ35 Β· ⭐ 7.7K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT +
AzureML SDK (πŸ₯ˆ35 Β· ⭐ 3.8K) - Python notebooks with ML and deep learning examples with Azure.. MIT -- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 870 Β· πŸ“₯ 400 Β· πŸ“¦ 35K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 03.09.2023): +- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.4K Β· πŸ“₯ 500 Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 10.10.2023): ``` - git clone https://github.com/lanpa/tensorboardX - ``` -- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.2M / month Β· πŸ“¦ 980 Β· ⏱️ 20.08.2023): - ``` - pip install tensorboardX + git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 1.1M Β· ⏱️ 20.08.2023): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 1.5M / month Β· πŸ“¦ 48 Β· ⏱️ 23.08.2023): ``` - conda install -c conda-forge tensorboardx + pip install azureml-sdk ```
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snakemake (πŸ₯ˆ35 Β· ⭐ 1.9K) - This is the development home of the workflow management system.. MIT +
snakemake (πŸ₯ˆ35 Β· ⭐ 2K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 460 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.4K - 60% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 460 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.4K - 60% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 99K / month Β· πŸ“¦ 250 Β· ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 100K / month Β· πŸ“¦ 250 Β· ⏱️ 18.09.2023): ``` pip install snakemake ``` @@ -5963,26 +5918,30 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c bioconda snakemake ```
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AzureML SDK (πŸ₯ˆ34 Β· ⭐ 3.8K) - Python notebooks with ML and deep learning examples with Azure.. MIT +
tensorboardX (πŸ₯ˆ34 Β· ⭐ 7.7K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.4K Β· πŸ“₯ 500 Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 01.09.2023): +- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 870 Β· πŸ“₯ 400 Β· πŸ“¦ 35K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 03.09.2023): ``` - git clone https://github.com/Azure/MachineLearningNotebooks + git clone https://github.com/lanpa/tensorboardX + ``` +- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.2M / month Β· πŸ“¦ 980 Β· ⏱️ 20.08.2023): ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 1.4M / month Β· πŸ“¦ 48 Β· ⏱️ 23.08.2023): + pip install tensorboardX ``` - pip install azureml-sdk +- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 1.1M Β· ⏱️ 20.08.2023): + ``` + conda install -c conda-forge tensorboardx ```
ClearML (πŸ₯ˆ33 Β· ⭐ 4.8K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 600 Β· πŸ“₯ 1.5K Β· πŸ“¦ 740 Β· πŸ“‹ 880 - 43% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 600 Β· πŸ“₯ 1.6K Β· πŸ“¦ 750 Β· πŸ“‹ 890 - 43% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 240K / month Β· πŸ“¦ 13 Β· ⏱️ 25.09.2023): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 230K / month Β· πŸ“¦ 13 Β· ⏱️ 25.09.2023): ``` pip install clearml ``` @@ -5993,51 +5952,39 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (πŸ₯ˆ33 Β· ⭐ 4.3K) - Aim An easy-to-use modular observability for AI Systems. Extensible,.. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 250 Β· πŸ“¦ 320 Β· πŸ“‹ 940 - 31% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 250 Β· πŸ“¦ 330 Β· πŸ“‹ 940 - 31% open Β· ⏱️ 04.10.2023): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 130K / month Β· πŸ“¦ 14 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 120K / month Β· πŸ“¦ 15 Β· ⏱️ 11.10.2023): ``` pip install aim ``` -- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 38K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 39K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge aim ```
Metaflow (πŸ₯ˆ32 Β· ⭐ 7K) - Build and manage real-life data science projects with ease!. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 670 Β· πŸ“¦ 530 Β· πŸ“‹ 610 - 48% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 680 Β· πŸ“¦ 540 Β· πŸ“‹ 610 - 47% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 160K / month Β· πŸ“¦ 24 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 160K / month Β· πŸ“¦ 24 Β· ⏱️ 09.10.2023): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 150K Β· ⏱️ 02.10.2023): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 150K Β· ⏱️ 10.10.2023): ``` conda install -c conda-forge metaflow ```
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VisualDL (πŸ₯ˆ31 Β· ⭐ 4.7K) - Deep Learning Visualization Toolkit. Apache-2 - -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 630 Β· πŸ“₯ 320 Β· πŸ“¦ 2.3K Β· πŸ“‹ 500 - 28% open Β· ⏱️ 20.09.2023): - - ``` - git clone https://github.com/PaddlePaddle/VisualDL - ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 120K / month Β· πŸ“¦ 40 Β· ⏱️ 05.06.2023): - ``` - pip install visualdl - ``` -
kaggle (πŸ₯ˆ30 Β· ⭐ 5.6K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1K Β· πŸ“¦ 16 Β· πŸ“‹ 410 - 31% open Β· ⏱️ 17.07.2023): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1K Β· πŸ“¦ 18 Β· πŸ“‹ 410 - 31% open Β· ⏱️ 17.07.2023): ``` git clone https://github.com/Kaggle/kaggle-api @@ -6051,18 +5998,30 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge kaggle ```
+
VisualDL (πŸ₯ˆ30 Β· ⭐ 4.7K) - Deep Learning Visualization Toolkit. Apache-2 + +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 630 Β· πŸ“₯ 330 Β· πŸ“¦ 2.3K Β· πŸ“‹ 500 - 28% open Β· ⏱️ 20.09.2023): + + ``` + git clone https://github.com/PaddlePaddle/VisualDL + ``` +- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 140K / month Β· πŸ“¦ 40 Β· ⏱️ 05.06.2023): + ``` + pip install visualdl + ``` +
Neptune.ai (πŸ₯ˆ30 Β· ⭐ 410) - The MLOps stack component for experiment tracking. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 48 Β· πŸ“‹ 230 - 15% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 48 Β· πŸ“‹ 230 - 16% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 550K / month Β· πŸ“¦ 44 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 540K / month Β· πŸ“¦ 44 Β· ⏱️ 11.10.2023): ``` pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 210K Β· ⏱️ 26.09.2023): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 220K Β· ⏱️ 10.10.2023): ``` conda install -c conda-forge neptune-client ``` @@ -6074,18 +6033,18 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 33K / month Β· πŸ“¦ 110 Β· ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 38K / month Β· πŸ“¦ 110 Β· ⏱️ 25.01.2023): ``` pip install sacred ``` -- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 4K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 4.1K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sacred ```
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ml-metadata (πŸ₯‰28 Β· ⭐ 560) - For recording and retrieving metadata associated with ML.. Apache-2 +
ml-metadata (πŸ₯‰27 Β· ⭐ 560) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“₯ 2.1K Β· πŸ“¦ 350 Β· πŸ“‹ 100 - 26% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“₯ 2.1K Β· πŸ“¦ 360 Β· πŸ“‹ 100 - 26% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/google/ml-metadata @@ -6097,12 +6056,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
quinn (πŸ₯‰27 Β· ⭐ 520) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 72 Β· πŸ“₯ 9 Β· πŸ“¦ 70 Β· πŸ“‹ 79 - 44% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 71 Β· πŸ“₯ 9 Β· πŸ“¦ 71 Β· πŸ“‹ 85 - 41% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 890K / month Β· πŸ“¦ 6 Β· ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 900K / month Β· πŸ“¦ 6 Β· ⏱️ 17.02.2023): ``` pip install quinn ``` @@ -6114,14 +6073,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 2.5K / month Β· πŸ“¦ 6 Β· ⏱️ 10.09.2023): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 1.8K / month Β· πŸ“¦ 6 Β· ⏱️ 10.09.2023): ``` pip install labml ```
TNT (πŸ₯‰26 Β· ⭐ 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 240 Β· πŸ“‹ 82 - 25% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 240 Β· πŸ“‹ 82 - 25% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/pytorch/tnt @@ -6131,14 +6090,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ pip install torchnet ```
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Guild AI (πŸ₯‰25 Β· ⭐ 820) - Experiment tracking, ML developer tools. Apache-2 +
Guild AI (πŸ₯‰24 Β· ⭐ 820) - Experiment tracking, ML developer tools. Apache-2 -- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 79 Β· πŸ“₯ 14 Β· πŸ“¦ 82 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 81 Β· πŸ“₯ 14 Β· πŸ“¦ 82 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 830 / month Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.1K / month Β· ⏱️ 11.05.2022): ``` pip install guildai ``` @@ -6150,7 +6109,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 920 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 1K / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` pip install tensorwatch ``` @@ -6162,31 +6121,31 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 98 / month Β· ⏱️ 14.09.2021): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 130 / month Β· ⏱️ 14.09.2021): ``` pip install studioml ```
caliban (πŸ₯‰16 Β· ⭐ 490) - Research workflows made easy, locally and in the Cloud. Apache-2 -- [GitHub](https://github.com/google/caliban) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 71 Β· πŸ“¦ 1 Β· πŸ“‹ 34 - 55% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/google/caliban) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 71 Β· πŸ“¦ 1 Β· πŸ“‹ 34 - 55% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 32 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 36 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ```
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Show 15 hidden projects... +
Show 16 hidden projects... - Catalyst (πŸ₯ˆ29 Β· ⭐ 3.2K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 +- knockknock (πŸ₯‰25 Β· ⭐ 2.6K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - livelossplot (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT -- knockknock (πŸ₯‰24 Β· ⭐ 2.6K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT -- SKLL (πŸ₯‰24 Β· ⭐ 540) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause +- gokart (πŸ₯‰24 Β· ⭐ 290) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT +- SKLL (πŸ₯‰23 Β· ⭐ 540) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause - hiddenlayer (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT -- gokart (πŸ₯‰22 Β· ⭐ 290) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT - lore (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT - TensorBoard Logger (πŸ₯‰20 Β· ⭐ 620 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT - MXBoard (πŸ₯‰20 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 @@ -6194,7 +6153,8 @@ _Libraries to organize, track, and visualize machine learning experiments._ - datmo (πŸ₯‰17 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT - chitra (πŸ₯‰17 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - steppy (πŸ₯‰16 Β· ⭐ 140 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT -- ModelChimp (πŸ₯‰13 Β· ⭐ 120 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 +- ModelChimp (πŸ₯‰13 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 +- CometML (πŸ₯‰13 Β· πŸ“ˆ) - Supercharging Machine Learning. ❗Unlicensed - traintool (πŸ₯‰8 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2

@@ -6207,52 +6167,52 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 16K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.6K Β· πŸ“₯ 19K Β· πŸ“¦ 19K Β· πŸ“‹ 2.6K - 12% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.6K Β· πŸ“₯ 19K Β· πŸ“¦ 19K Β· πŸ“‹ 2.6K - 12% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 3.8M / month Β· πŸ“¦ 600 Β· ⏱️ 25.08.2023): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 3.9M / month Β· πŸ“¦ 610 Β· ⏱️ 25.08.2023): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 840K Β· ⏱️ 11.09.2023): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 850K Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge onnx ```
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triton (πŸ₯‡41 Β· ⭐ 8.4K) - Development repository for the Triton language and compiler. MIT +
triton (πŸ₯‡41 Β· ⭐ 8.5K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 860 Β· πŸ“¦ 8.2K Β· πŸ“‹ 820 - 39% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 870 Β· πŸ“¦ 8.6K Β· πŸ“‹ 840 - 39% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 4.8M / month Β· πŸ“¦ 57 Β· ⏱️ 01.09.2023): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 5.2M / month Β· πŸ“¦ 57 Β· ⏱️ 01.09.2023): ``` pip install triton ```
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BentoML (πŸ₯ˆ35 Β· ⭐ 5.7K) - Build Production-Grade AI Applications. Apache-2 +
BentoML (πŸ₯ˆ35 Β· ⭐ 5.8K) - Build Production-Grade AI Applications. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 640 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.3K Β· πŸ“‹ 940 - 18% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 640 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.3K Β· πŸ“‹ 940 - 18% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 74K / month Β· πŸ“¦ 11 Β· ⏱️ 08.09.2023): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 70K / month Β· πŸ“¦ 11 Β· ⏱️ 08.09.2023): ``` pip install bentoml ```
TorchServe (πŸ₯ˆ35 Β· ⭐ 3.7K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 760 Β· πŸ“₯ 4.9K Β· πŸ“¦ 520 Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 760 Β· πŸ“₯ 5K Β· πŸ“¦ 520 Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 38K / month Β· πŸ“¦ 11 Β· ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 37K / month Β· πŸ“¦ 11 Β· ⏱️ 28.08.2023): ``` pip install torchserve ``` @@ -6267,28 +6227,28 @@ _Libraries to serialize models to files, convert between a variety of model form
huggingface_hub (πŸ₯ˆ35 Β· ⭐ 1.2K) - All the open source things related to the Hugging Face Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“‹ 590 - 18% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“‹ 590 - 17% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 18M / month Β· πŸ“¦ 450 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 19M / month Β· πŸ“¦ 470 Β· ⏱️ 10.10.2023): ``` pip install huggingface_hub ``` -- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 1.4M Β· ⏱️ 26.09.2023): +- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 1.4M Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge huggingface_hub ```
Core ML Tools (πŸ₯ˆ32 Β· ⭐ 3.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 550 Β· πŸ“₯ 8.2K Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.2K - 20% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 550 Β· πŸ“₯ 8.2K Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.2K - 20% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 150K / month Β· πŸ“¦ 160 Β· ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 170K / month Β· πŸ“¦ 160 Β· ⏱️ 18.09.2023): ``` pip install coremltools ``` @@ -6304,18 +6264,18 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 11K / month Β· πŸ“¦ 3 Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 12K / month Β· πŸ“¦ 3 Β· ⏱️ 10.06.2020): ``` pip install hummingbird-ml ``` -- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 35K Β· ⏱️ 12.07.2023): +- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 36K Β· ⏱️ 12.07.2023): ``` conda install -c conda-forge hummingbird-ml ```
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hls4ml (πŸ₯‰25 Β· ⭐ 930) - Machine learning on FPGAs using HLS. Apache-2 +
hls4ml (πŸ₯‰25 Β· ⭐ 940) - Machine learning on FPGAs using HLS. Apache-2 -- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 340 Β· πŸ“‹ 380 - 36% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 340 Β· πŸ“‹ 380 - 36% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/fastmachinelearning/hls4ml @@ -6336,19 +6296,19 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/BayesWitnesses/m2cgen ``` -- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 12K / month Β· πŸ“¦ 3 Β· ⏱️ 26.04.2022): +- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 14K / month Β· πŸ“¦ 3 Β· ⏱️ 26.04.2022): ``` pip install m2cgen ```
nebullvm (πŸ₯‰22 Β· ⭐ 8.3K) - Developer toolkit for making AI models better. Apache-2 -- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 650 Β· πŸ“‹ 200 - 48% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 650 Β· πŸ“‹ 200 - 48% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 610 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 570 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ``` @@ -6360,7 +6320,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/cortexlabs/cortex ``` -- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 940 / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): ``` pip install cortex ``` @@ -6368,10 +6328,10 @@ _Libraries to serialize models to files, convert between a variety of model form
Show 9 hidden projects... - mmdnn (πŸ₯ˆ26 Β· ⭐ 5.7K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT -- sklearn-porter (πŸ₯‰23 Β· ⭐ 1.2K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 -- Larq Compute Engine (πŸ₯‰21 Β· ⭐ 230) - Highly optimized inference engine for Binarized.. Apache-2 +- sklearn-porter (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 +- Larq Compute Engine (πŸ₯‰20 Β· ⭐ 230) - Highly optimized inference engine for Binarized.. Apache-2 - pytorch2keras (πŸ₯‰19 Β· ⭐ 840 Β· πŸ’€) - PyTorch to Keras model convertor. MIT -- OMLT (πŸ₯‰19 Β· ⭐ 210) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 +- OMLT (πŸ₯‰19 Β· ⭐ 220) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - modelkit (πŸ₯‰17 Β· ⭐ 150) - Toolkit for developing and maintaining ML models. MIT - tfdeploy (πŸ₯‰16 Β· ⭐ 350 Β· πŸ’€) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 - ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.4K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed @@ -6387,28 +6347,28 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡41 Β· ⭐ 20K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 3K Β· πŸ“¦ 14K Β· πŸ“‹ 2.3K - 60% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.9K Β· πŸ“¦ 14K Β· πŸ“‹ 2.3K - 60% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.2M / month Β· πŸ“¦ 410 Β· ⏱️ 15.07.2023): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.3M / month): ``` pip install shap ``` -- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 2.1M Β· ⏱️ 26.07.2023): +- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 2.1M Β· ⏱️ 09.10.2023): ``` conda install -c conda-forge shap ```
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arviz (πŸ₯‡35 Β· ⭐ 1.4K) - Exploratory analysis of Bayesian models with Python. Apache-2 +
arviz (πŸ₯‡34 Β· ⭐ 1.4K) - Exploratory analysis of Bayesian models with Python. Apache-2 - [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 350 Β· πŸ“₯ 130 Β· πŸ“¦ 4.9K Β· πŸ“‹ 830 - 20% open Β· ⏱️ 13.09.2023): ``` git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.6M / month Β· πŸ“¦ 140 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.5M / month Β· πŸ“¦ 140 Β· ⏱️ 18.07.2023): ``` pip install arviz ``` @@ -6417,14 +6377,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge arviz ```
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Netron (πŸ₯‡34 Β· ⭐ 24K) - Visualizer for neural network, deep learning, and machine.. MIT +
Netron (πŸ₯‡33 Β· ⭐ 24K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.6K Β· πŸ“₯ 84K Β· πŸ“¦ 10 Β· πŸ“‹ 980 - 2% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.6K Β· πŸ“₯ 26K Β· πŸ“¦ 10 Β· πŸ“‹ 990 - 2% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 15K / month Β· πŸ“¦ 73 Β· ⏱️ 30.09.2023): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 16K / month Β· πŸ“¦ 73 Β· ⏱️ 08.10.2023): ``` pip install netron ``` @@ -6436,19 +6396,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 61K / month Β· πŸ“¦ 28 Β· ⏱️ 26.08.2023): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 65K / month Β· πŸ“¦ 28 Β· ⏱️ 26.08.2023): ``` pip install interpret ```
DoWhy (πŸ₯‡31 Β· ⭐ 6.2K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 860 Β· πŸ“₯ 33 Β· πŸ“¦ 290 Β· πŸ“‹ 410 - 29% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 850 Β· πŸ“₯ 33 Β· πŸ“¦ 300 Β· πŸ“‹ 410 - 30% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 39K / month Β· πŸ“¦ 7 Β· ⏱️ 05.09.2023): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 39K / month): ``` pip install dowhy ``` @@ -6457,20 +6417,20 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge dowhy ```
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Captum (πŸ₯ˆ30 Β· ⭐ 4.2K) - Model interpretability and understanding for PyTorch. BSD-3 +
dtreeviz (πŸ₯ˆ30 Β· ⭐ 2.7K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 440 Β· πŸ“¦ 1.5K Β· πŸ“‹ 500 - 35% open Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 910 Β· πŸ“‹ 190 - 30% open Β· ⏱️ 13.07.2023): ``` - git clone https://github.com/pytorch/captum + git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 140K / month Β· πŸ“¦ 46 Β· ⏱️ 27.12.2022): +- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 120K / month Β· πŸ“¦ 24 Β· ⏱️ 07.07.2022): ``` - pip install captum + pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 16K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 60K Β· ⏱️ 13.07.2023): ``` - conda install -c conda-forge captum + conda install -c conda-forge dtreeviz ```
explainerdashboard (πŸ₯ˆ30 Β· ⭐ 2.1K) - Quickly build Explainable AI dashboards that show the inner.. MIT @@ -6480,7 +6440,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 35K / month Β· πŸ“¦ 9 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 40K / month Β· πŸ“¦ 9 Β· ⏱️ 01.08.2023): ``` pip install explainerdashboard ``` @@ -6489,42 +6449,38 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge explainerdashboard ```
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evaluate (πŸ₯ˆ30 Β· ⭐ 1.5K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 +
evaluate (πŸ₯ˆ30 Β· ⭐ 1.6K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 170 Β· πŸ“¦ 4K Β· πŸ“‹ 220 - 47% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 180 Β· πŸ“¦ 4.2K Β· πŸ“‹ 220 - 47% open Β· ⏱️ 29.09.2023): ``` git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 920K / month Β· πŸ“¦ 99 Β· ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 930K / month Β· πŸ“¦ 99 Β· ⏱️ 13.12.2022): ``` pip install evaluate ```
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dtreeviz (πŸ₯ˆ29 Β· ⭐ 2.7K) - A python library for decision tree visualization and model interpretation. MIT +
shapash (πŸ₯ˆ29 Β· ⭐ 2.5K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 900 Β· πŸ“‹ 190 - 30% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 290 Β· πŸ“¦ 130 Β· πŸ“‹ 180 - 18% open Β· ⏱️ 20.09.2023): ``` - git clone https://github.com/parrt/dtreeviz - ``` -- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 120K / month Β· πŸ“¦ 24 Β· ⏱️ 07.07.2022): - ``` - pip install dtreeviz + git clone https://github.com/MAIF/shapash ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 60K Β· ⏱️ 13.07.2023): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 8.4K / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2023): ``` - conda install -c conda-forge dtreeviz + pip install shapash ```
Alibi (πŸ₯ˆ29 Β· ⭐ 2.2K) - Algorithms for explaining machine learning models. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 230 Β· πŸ“¦ 520 Β· πŸ“‹ 350 - 37% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 230 Β· πŸ“¦ 520 Β· πŸ“‹ 350 - 37% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/SeldonIO/alibi ``` -- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 18K / month Β· πŸ“¦ 25 Β· ⏱️ 07.07.2023): +- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 25K / month Β· πŸ“¦ 25 Β· ⏱️ 07.07.2023): ``` pip install alibi ``` @@ -6536,23 +6492,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 270K / month Β· πŸ“¦ 160 Β· ⏱️ 24.03.2021): +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 260K / month Β· πŸ“¦ 160 Β· ⏱️ 24.03.2021): ``` pip install pyldavis ``` -- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 74K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 75K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pyldavis ```
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fairlearn (πŸ₯ˆ29 Β· ⭐ 1.6K) - A Python package to assess and improve fairness of machine.. MIT +
fairlearn (πŸ₯ˆ29 Β· ⭐ 1.7K) - A Python package to assess and improve fairness of machine.. MIT - [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 360 Β· πŸ“¦ 2 Β· πŸ“‹ 450 - 38% open Β· ⏱️ 01.10.2023): ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 200K / month Β· πŸ“¦ 24 Β· ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 390K / month Β· πŸ“¦ 24 Β· ⏱️ 27.07.2023): ``` pip install fairlearn ``` @@ -6563,104 +6519,92 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Model Analysis (πŸ₯ˆ29 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 270 Β· πŸ“‹ 86 - 39% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 270 Β· πŸ“‹ 86 - 39% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 340K / month Β· πŸ“¦ 23 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 330K / month Β· πŸ“¦ 23 Β· ⏱️ 14.08.2023): ``` pip install tensorflow-model-analysis ```
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responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 980) - Responsible AI Toolbox is a suite of tools providing.. MIT +
imodels (πŸ₯ˆ29 Β· ⭐ 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 250 Β· πŸ“¦ 68 Β· πŸ“‹ 300 - 26% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 55 Β· πŸ“‹ 74 - 32% open Β· ⏱️ 10.10.2023): ``` - git clone https://github.com/microsoft/responsible-ai-toolbox + git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 5.7K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 78K / month): ``` - pip install raiwidgets + pip install imodels ```
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LIT (πŸ₯ˆ28 Β· ⭐ 3.2K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 +
responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 980) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 340 Β· πŸ“¦ 24 Β· πŸ“‹ 160 - 52% open Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 250 Β· πŸ“¦ 68 Β· πŸ“‹ 300 - 26% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/PAIR-code/lit - ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 2.6K / month Β· πŸ“¦ 1 Β· ⏱️ 22.09.2023): - ``` - pip install lit-nlp + git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 65K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 5.5K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): ``` - conda install -c conda-forge lit-nlp + pip install raiwidgets ```
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shapash (πŸ₯ˆ28 Β· ⭐ 2.4K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 +
Captum (πŸ₯ˆ28 Β· ⭐ 4.2K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 290 Β· πŸ“¦ 130 Β· πŸ“‹ 180 - 18% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 440 Β· πŸ“‹ 500 - 35% open Β· ⏱️ 22.09.2023): ``` - git clone https://github.com/MAIF/shapash + git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.9K / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 130K / month Β· πŸ“¦ 46 Β· ⏱️ 27.12.2022): ``` - pip install shapash + pip install captum + ``` +- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 16K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge captum ```
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imodels (πŸ₯ˆ28 Β· ⭐ 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT +
LIT (πŸ₯ˆ28 Β· ⭐ 3.2K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 110 Β· πŸ“¦ 52 Β· πŸ“‹ 76 - 34% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 330 Β· πŸ“¦ 24 Β· πŸ“‹ 120 - 35% open Β· ⏱️ 22.09.2023): ``` - git clone https://github.com/csinva/imodels + git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 38K / month Β· πŸ“¦ 4 Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 3K / month): ``` - pip install imodels + pip install lit-nlp + ``` +- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 65K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge lit-nlp ```
Explainability 360 (πŸ₯ˆ27 Β· ⭐ 1.4K) - Interpretability and explainability of data and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 83 Β· πŸ“‹ 83 - 65% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 290 Β· πŸ“¦ 84 Β· πŸ“‹ 74 - 60% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 560 / month): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 610 / month): ``` pip install aix360 ```
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yellowbrick (πŸ₯ˆ26 Β· ⭐ 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 - -- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“‹ 700 - 12% open Β· ⏱️ 05.07.2023): - - ``` - git clone https://github.com/DistrictDataLabs/yellowbrick - ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 320K / month Β· πŸ“¦ 80 Β· ⏱️ 21.08.2022): - ``` - pip install yellowbrick - ``` -- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 70K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge yellowbrick - ``` -
Fairness 360 (πŸ₯ˆ26 Β· ⭐ 2.2K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 760 Β· πŸ“¦ 310 Β· πŸ“‹ 230 - 61% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 760 Β· πŸ“¦ 310 Β· πŸ“‹ 260 - 64% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 6.8K / month): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 6.6K / month Β· πŸ“¦ 12 Β· ⏱️ 04.03.2021): ``` pip install aif360 ``` @@ -6676,7 +6620,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 7K / month Β· πŸ“¦ 3 Β· ⏱️ 11.11.2021): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 5.2K / month Β· πŸ“¦ 3 Β· ⏱️ 11.11.2021): ``` pip install causalnex ``` @@ -6688,7 +6632,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 690 / month Β· πŸ“¦ 2 Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 710 / month Β· πŸ“¦ 2 Β· ⏱️ 14.09.2023): ``` pip install innvestigate ``` @@ -6700,7 +6644,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 3.3K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 3.5K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): ``` pip install checklist ``` @@ -6709,14 +6653,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge checklist ```
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DiCE (πŸ₯‰24 Β· ⭐ 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT +
DiCE (πŸ₯‰25 Β· ⭐ 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT -- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 160 Β· πŸ“‹ 150 - 39% open Β· ⏱️ 01.10.2023): +- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 170 Β· πŸ“‹ 160 - 40% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 81K / month): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 67K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2022): ``` pip install dice-ml ``` @@ -6728,29 +6672,25 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.4K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.5K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): ``` pip install keract ```
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What-If Tool (πŸ₯‰22 Β· ⭐ 840) - Source code/webpage/demos for the What-If Tool. Apache-2 +
yellowbrick (πŸ₯‰23 Β· ⭐ 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 -- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“‹ 140 - 58% open Β· ⏱️ 27.04.2023): +- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 530 Β· πŸ“‹ 690 - 12% open Β· ⏱️ 05.07.2023): ``` - git clone https://github.com/PAIR-code/what-if-tool - ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 4.8K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): - ``` - pip install witwidget + git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (πŸ“₯ 2M Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 350K / month): ``` - conda install -c conda-forge tensorboard-plugin-wit + pip install yellowbrick ``` -- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 880 / month Β· πŸ“¦ 1 Β· ⏱️ 12.10.2021): +- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 70K Β· ⏱️ 16.06.2023): ``` - npm install wit-widget + conda install -c conda-forge yellowbrick ```
ecco (πŸ₯‰21 Β· ⭐ 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 @@ -6760,13 +6700,33 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 530 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 500 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): + ``` + pip install ecco + ``` +- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 4K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge ecco + ``` +
+
What-If Tool (πŸ₯‰21 Β· ⭐ 840) - Source code/webpage/demos for the What-If Tool. Apache-2 + +- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“‹ 120 - 53% open Β· ⏱️ 27.04.2023): + + ``` + git clone https://github.com/PAIR-code/what-if-tool + ``` +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 4K / month): + ``` + pip install witwidget + ``` +- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (πŸ“₯ 2.1M Β· ⏱️ 16.06.2023): ``` - pip install ecco + conda install -c conda-forge tensorboard-plugin-wit ``` -- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 4K Β· ⏱️ 16.06.2023): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 860 / month): ``` - conda install -c conda-forge ecco + npm install wit-widget ```
aequitas (πŸ₯‰21 Β· ⭐ 570) - Bias and Fairness Audit Toolkit. MIT @@ -6783,12 +6743,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
model-card-toolkit (πŸ₯‰19 Β· ⭐ 390) - A toolkit that streamlines and automates the generation.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-card-toolkit) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 79 Β· πŸ“₯ 8 Β· πŸ“¦ 19 Β· πŸ“‹ 33 - 30% open Β· ⏱️ 26.07.2023): +- [GitHub](https://github.com/tensorflow/model-card-toolkit) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 79 Β· πŸ“₯ 8 Β· πŸ“¦ 21 Β· πŸ“‹ 33 - 30% open Β· ⏱️ 26.07.2023): ``` git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install model-card-toolkit ``` @@ -6800,43 +6760,43 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 3.2K / month Β· ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 3.6K / month Β· ⏱️ 13.12.2022): ``` pip install fairness-indicators ```
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sklearn-evaluation (πŸ₯‰18 Β· ⭐ 360 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT +
LOFO (πŸ₯‰18 Β· ⭐ 770) - Leave One Feature Out Importance. MIT -- [GitHub](https://github.com/edublancas/sklearn-evaluation) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 41 Β· ⏱️ 13.01.2023): +- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 76 Β· πŸ“¦ 27 Β· πŸ“‹ 28 - 21% open Β· ⏱️ 14.04.2023): ``` - git clone https://github.com/edublancas/sklearn-evaluation + git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 46K / month Β· πŸ“¦ 5 Β· ⏱️ 28.12.2020): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): ``` - pip install sklearn-evaluation + pip install lofo-importance ```
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LOFO (πŸ₯‰17 Β· ⭐ 770) - Leave One Feature Out Importance. MIT +
sklearn-evaluation (πŸ₯‰18 Β· ⭐ 360 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT -- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 76 Β· πŸ“¦ 27 Β· πŸ“‹ 28 - 21% open Β· ⏱️ 14.04.2023): +- [GitHub](https://github.com/edublancas/sklearn-evaluation) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 41 Β· ⏱️ 13.01.2023): ``` - git clone https://github.com/aerdem4/lofo-importance + git clone https://github.com/edublancas/sklearn-evaluation ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 880 / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 46K / month Β· πŸ“¦ 5 Β· ⏱️ 28.12.2020): ``` - pip install lofo-importance + pip install sklearn-evaluation ```
FlashTorch (πŸ₯‰15 Β· ⭐ 710) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT -- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 88 Β· πŸ“¦ 15 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 21.09.2023): +- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 88 Β· πŸ“¦ 15 Β· πŸ“‹ 31 - 29% open Β· ⏱️ 21.09.2023): ``` git clone https://github.com/MisaOgura/flashtorch ``` -- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 130 / month Β· ⏱️ 29.05.2020): +- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 130 / month): ``` pip install flashtorch ``` @@ -6858,10 +6818,10 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - Lime (πŸ₯‡33 Β· ⭐ 11K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - Deep Checks (πŸ₯ˆ29 Β· ⭐ 3.1K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - scikit-plot (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT -- eli5 (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT -- Lucid (πŸ₯‰25 Β· ⭐ 4.6K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 - DALEX (πŸ₯‰25 Β· ⭐ 1.2K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 -- keras-vis (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT +- keras-vis (πŸ₯‰23 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT +- Lucid (πŸ₯‰22 Β· ⭐ 4.6K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 +- eli5 (πŸ₯‰22 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - TreeInterpreter (πŸ₯‰22 Β· ⭐ 730 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 - random-forest-importances (πŸ₯‰22 Β· ⭐ 570 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT @@ -6871,9 +6831,9 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - XAI (πŸ₯‰16 Β· ⭐ 940 Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - Skater (πŸ₯‰15 Β· ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - Anchor (πŸ₯‰15 Β· ⭐ 760 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 -- ExplainX.ai (πŸ₯‰15 Β· ⭐ 360 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT -- contextual-ai (πŸ₯‰12 Β· ⭐ 83 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 -- Attribution Priors (πŸ₯‰11 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT +- ExplainX.ai (πŸ₯‰14 Β· ⭐ 370 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT +- Attribution Priors (πŸ₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT +- contextual-ai (πŸ₯‰12 Β· ⭐ 84 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 - bias-detector (πŸ₯‰10 Β· ⭐ 43 Β· πŸ’€) - Bias Detector is a python package for detecting bias in machine.. MIT

@@ -6888,7 +6848,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (πŸ₯‡40 Β· ⭐ 23K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.5K Β· πŸ“₯ 44K Β· πŸ“‹ 9.2K - 7% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.5K Β· πŸ“₯ 46K Β· πŸ“‹ 9.3K - 7% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/milvus-io/milvus @@ -6897,23 +6857,23 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 6.1M Β· ⭐ 37 Β· ⏱️ 04.10.2023): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 6.3M Β· ⭐ 37 Β· ⏱️ 12.10.2023): ``` docker pull milvusdb/milvus ```
-
Faiss (πŸ₯‡37 Β· ⭐ 25K) - A library for efficient similarity search and clustering of dense vectors. MIT +
Faiss (πŸ₯‡38 Β· ⭐ 25K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“¦ 3.2K Β· πŸ“‹ 2.2K - 15% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“¦ 3.2K Β· πŸ“‹ 2.2K - 16% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 450K / month): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 450K / month Β· πŸ“¦ 34 Β· ⏱️ 22.09.2023): ``` pip install pymilvus ``` -- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 920K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 930K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge faiss ``` @@ -6925,7 +6885,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 980K / month Β· πŸ“¦ 270 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 970K / month Β· πŸ“¦ 270 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` @@ -6936,12 +6896,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
hnswlib (πŸ₯ˆ31 Β· ⭐ 3.5K Β· πŸ’€) - Header-only C++/python library for fast approximate nearest.. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 490 Β· πŸ“¦ 5K Β· πŸ“‹ 310 - 52% open Β· ⏱️ 05.02.2023): +- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 500 Β· πŸ“¦ 5.1K Β· πŸ“‹ 320 - 53% open Β· ⏱️ 05.02.2023): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 720K / month): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 710K / month Β· πŸ“¦ 51 Β· ⏱️ 05.02.2023): ``` pip install hnswlib ``` @@ -6952,12 +6912,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
PyNNDescent (πŸ₯‰29 Β· ⭐ 800) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 97 Β· πŸ“¦ 4.4K Β· πŸ“‹ 120 - 51% open Β· ⏱️ 12.09.2023): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 98 Β· πŸ“¦ 4.5K Β· πŸ“‹ 130 - 52% open Β· ⏱️ 12.09.2023): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 900K / month): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 940K / month Β· πŸ“¦ 59 Β· ⏱️ 31.10.2022): ``` pip install pynndescent ``` @@ -6966,65 +6926,65 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge pynndescent ```
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USearch (πŸ₯‰27 Β· ⭐ 790) - Fastest Search & Clustering engine for Vectors & Strings in C++, C,.. Apache-2 +
USearch (πŸ₯‰27 Β· ⭐ 810) - Fastest Open-Source Search & Clustering engine for Vectors & Strings.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 40 Β· πŸ“₯ 230 Β· πŸ“¦ 18 Β· πŸ“‹ 61 - 32% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 40 Β· πŸ“₯ 240 Β· πŸ“¦ 19 Β· πŸ“‹ 61 - 32% open Β· ⏱️ 27.09.2023): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 34K / month Β· πŸ“¦ 1 Β· ⏱️ 25.09.2023): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 33K / month Β· πŸ“¦ 1 Β· ⏱️ 25.09.2023): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 2.9K / month Β· πŸ“¦ 2 Β· ⏱️ 25.09.2023): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 2.5K / month Β· πŸ“¦ 2 Β· ⏱️ 25.09.2023): ``` npm install usearch ``` -- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 39 Β· ⭐ 1 Β· ⏱️ 25.09.2023): +- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 41 Β· ⭐ 1 Β· ⏱️ 25.09.2023): ``` docker pull unum/usearch ```
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NGT (πŸ₯‰22 Β· ⭐ 1.1K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 +
NGT (πŸ₯‰23 Β· ⭐ 1.1K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 - [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 7.9K / month): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 6.5K / month Β· πŸ“¦ 8 Β· ⏱️ 21.09.2022): ``` pip install ngt ```
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NearPy (πŸ₯‰19 Β· ⭐ 740 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT +
NearPy (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT - [GitHub](https://github.com/pixelogik/NearPy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 140 Β· πŸ“¦ 90 Β· πŸ“‹ 64 - 39% open Β· ⏱️ 22.01.2023): ``` git clone https://github.com/pixelogik/NearPy ``` -- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 720 / month): +- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 670 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): ``` pip install NearPy ```
N2 (πŸ₯‰19 Β· ⭐ 550) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast.. Apache-2 -- [GitHub](https://github.com/kakao/n2) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 70 Β· πŸ“¦ 27 Β· πŸ“‹ 35 - 37% open Β· ⏱️ 27.06.2023): +- [GitHub](https://github.com/kakao/n2) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 70 Β· πŸ“¦ 28 Β· πŸ“‹ 35 - 37% open Β· ⏱️ 27.06.2023): ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 950 / month): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 970 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ```
Show 3 hidden projects... -- NMSLIB (πŸ₯ˆ31 Β· ⭐ 3.1K Β· πŸ’€) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 +- NMSLIB (πŸ₯ˆ31 Β· ⭐ 3.2K Β· πŸ’€) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 - Magnitude (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT - PySparNN (πŸ₯‰11 Β· ⭐ 910 Β· πŸ’€) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3
@@ -7038,7 +6998,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡40 Β· ⭐ 7.8K) - Bayesian Modeling in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.9K Β· πŸ“¦ 2.1K Β· πŸ“‹ 3.1K - 6% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.9K Β· πŸ“¦ 2.1K Β· πŸ“‹ 3.1K - 6% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/pymc-devs/pymc @@ -7054,12 +7014,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (πŸ₯‡37 Β· ⭐ 4K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 46% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.2M / month Β· πŸ“¦ 430 Β· ⏱️ 02.10.2023): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.3M / month Β· πŸ“¦ 430 Β· ⏱️ 02.10.2023): ``` pip install tensorflow-probability ``` @@ -7068,14 +7028,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge tensorflow-probability ```
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Pyro (πŸ₯‡36 Β· ⭐ 8.1K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 +
Pyro (πŸ₯‡36 Β· ⭐ 8.2K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 970 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 970 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 07.10.2023): ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 630K / month Β· πŸ“¦ 92 Β· ⏱️ 29.07.2023): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 580K / month Β· πŸ“¦ 92 Β· ⏱️ 29.07.2023): ``` pip install pyro-ppl ``` @@ -7086,16 +7046,16 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
GPyTorch (πŸ₯ˆ32 Β· ⭐ 3.2K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.3K - 25% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 20.09.2023): ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 250K / month Β· πŸ“¦ 67 Β· ⏱️ 02.06.2023): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 230K / month Β· πŸ“¦ 67 Β· ⏱️ 02.06.2023): ``` pip install gpytorch ``` -- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 120K Β· ⏱️ 11.08.2023): +- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 130K Β· ⏱️ 11.08.2023): ``` conda install -c conda-forge gpytorch ``` @@ -7107,7 +7067,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 28K / month Β· πŸ“¦ 57 Β· ⏱️ 17.09.2023): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 22K / month Β· πŸ“¦ 57 Β· ⏱️ 17.09.2023): ``` pip install pomegranate ``` @@ -7130,7 +7090,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
GPflow (πŸ₯ˆ30 Β· ⭐ 1.8K) - Gaussian processes in TensorFlow. Apache-2 -- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 440 Β· πŸ“¦ 560 Β· πŸ“‹ 820 - 17% open Β· ⏱️ 09.08.2023): +- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 440 Β· πŸ“¦ 570 Β· πŸ“‹ 820 - 17% open Β· ⏱️ 09.08.2023): ``` git clone https://github.com/GPflow/GPflow @@ -7146,12 +7106,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
emcee (πŸ₯ˆ30 Β· ⭐ 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT -- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 430 Β· πŸ“¦ 2.1K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 430 Β· πŸ“¦ 2.1K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 89K / month Β· πŸ“¦ 350 Β· ⏱️ 10.05.2022): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 91K / month Β· πŸ“¦ 350 Β· ⏱️ 10.05.2022): ``` pip install emcee ``` @@ -7171,51 +7131,51 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install patsy ``` -- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 9M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 9.1M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge patsy ```
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hmmlearn (πŸ₯‰29 Β· ⭐ 2.8K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 +
SALib (πŸ₯ˆ30 Β· ⭐ 750) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 730 Β· πŸ“¦ 2K Β· πŸ“‹ 420 - 13% open Β· ⏱️ 31.08.2023): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 220 Β· πŸ“¦ 910 Β· πŸ“‹ 320 - 15% open Β· ⏱️ 09.10.2023): ``` - git clone https://github.com/hmmlearn/hmmlearn + git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 160K / month Β· πŸ“¦ 140 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 100K / month Β· πŸ“¦ 82 Β· ⏱️ 22.06.2022): ``` - pip install hmmlearn + pip install salib ``` -- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 190K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge hmmlearn + conda install -c conda-forge salib ```
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SALib (πŸ₯‰29 Β· ⭐ 750) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT +
hmmlearn (πŸ₯‰29 Β· ⭐ 2.8K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 220 Β· πŸ“¦ 900 Β· πŸ“‹ 310 - 15% open Β· ⏱️ 20.07.2023): +- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 730 Β· πŸ“¦ 2.1K Β· πŸ“‹ 420 - 13% open Β· ⏱️ 31.08.2023): ``` - git clone https://github.com/SALib/SALib + git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 100K / month Β· πŸ“¦ 81 Β· ⏱️ 22.06.2022): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 160K / month Β· πŸ“¦ 140 Β· ⏱️ 10.02.2022): ``` - pip install salib + pip install hmmlearn ``` -- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 200K Β· ⏱️ 07.10.2023): ``` - conda install -c conda-forge salib + conda install -c conda-forge hmmlearn ```
bambi (πŸ₯‰27 Β· ⭐ 940) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 110 Β· πŸ“¦ 87 Β· πŸ“‹ 360 - 18% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 110 Β· πŸ“¦ 89 Β· πŸ“‹ 360 - 18% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 17K / month): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 17K / month Β· πŸ“¦ 8 Β· ⏱️ 02.07.2023): ``` pip install bambi ``` @@ -7226,28 +7186,28 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Baal (πŸ₯‰25 Β· ⭐ 790) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 -- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 79 Β· πŸ“¦ 51 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 79 Β· πŸ“¦ 52 Β· πŸ“‹ 110 - 22% open Β· ⏱️ 02.10.2023): ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 02.10.2023): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 02.10.2023): ``` pip install baal ``` -- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 7K Β· ⏱️ 12.06.2023): +- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 7.1K Β· ⏱️ 12.06.2023): ``` conda install -c conda-forge baal ```
Orbit (πŸ₯‰23 Β· ⭐ 1.7K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 37 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 38 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 100K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 99K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): ``` pip install orbit-ml ``` @@ -7255,9 +7215,9 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Show 9 hidden projects... - filterpy (πŸ₯ˆ31 Β· ⭐ 2.9K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT -- pandas-ta (πŸ₯ˆ30 Β· ⭐ 4K Β· πŸ’€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT +- pandas-ta (πŸ₯ˆ30 Β· ⭐ 4.1K Β· πŸ’€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT +- pingouin (πŸ₯‰29 Β· ⭐ 1.4K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (πŸ₯‰28 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 -- pingouin (πŸ₯‰28 Β· ⭐ 1.4K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - PyStan (πŸ₯‰25 Β· ⭐ 280) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC - scikit-posthocs (πŸ₯‰21 Β· ⭐ 300) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT - Funsor (πŸ₯‰21 Β· ⭐ 220) - Functional tensors for probabilistic programming. Apache-2 @@ -7274,60 +7234,60 @@ _Libraries for testing the robustness of machine learning models against attacks
ART (πŸ₯‡34 Β· ⭐ 4K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1K Β· πŸ“¦ 430 Β· πŸ“‹ 840 - 12% open Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.1K Β· πŸ“¦ 430 Β· πŸ“‹ 860 - 14% open Β· ⏱️ 22.09.2023): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 32K / month): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 28K / month Β· πŸ“¦ 9 Β· ⏱️ 22.09.2023): ``` pip install adversarial-robustness-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 32K Β· ⏱️ 22.09.2023): +- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 33K Β· ⏱️ 22.09.2023): ``` conda install -c conda-forge adversarial-robustness-toolbox ```
TextAttack (πŸ₯ˆ30 Β· ⭐ 2.5K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 330 Β· πŸ“¦ 190 Β· πŸ“‹ 250 - 16% open Β· ⏱️ 30.09.2023): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 340 Β· πŸ“¦ 200 Β· πŸ“‹ 260 - 16% open Β· ⏱️ 30.09.2023): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 4.7K / month): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 5.8K / month Β· πŸ“¦ 5 Β· ⏱️ 11.09.2023): ``` pip install textattack ``` -- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 6.6K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 6.7K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge textattack ```
CleverHans (πŸ₯ˆ29 Β· ⭐ 5.9K Β· πŸ’€) - An adversarial example library for constructing attacks,.. MIT -- [GitHub](https://github.com/cleverhans-lab/cleverhans) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.3K Β· πŸ“¦ 520 Β· πŸ“‹ 450 - 5% open Β· ⏱️ 31.01.2023): +- [GitHub](https://github.com/cleverhans-lab/cleverhans) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 530 Β· πŸ“‹ 460 - 8% open Β· ⏱️ 31.01.2023): ``` git clone https://github.com/cleverhans-lab/cleverhans ``` -- [PyPi](https://pypi.org/project/cleverhans) (πŸ“₯ 1K / month): +- [PyPi](https://pypi.org/project/cleverhans) (πŸ“₯ 1.1K / month Β· πŸ“¦ 12 Β· ⏱️ 24.07.2021): ``` pip install cleverhans ``` -- [Conda](https://anaconda.org/conda-forge/cleverhans) (πŸ“₯ 7K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/cleverhans) (πŸ“₯ 7.1K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge cleverhans ```
Show 6 hidden projects... -- Foolbox (πŸ₯ˆ27 Β· ⭐ 2.5K Β· πŸ’€) - A Python toolbox to create adversarial examples that fool neural.. MIT -- advertorch (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 -- robustness (πŸ₯‰18 Β· ⭐ 830 Β· πŸ’€) - A library for experimenting with, training and evaluating neural.. MIT +- Foolbox (πŸ₯ˆ27 Β· ⭐ 2.6K Β· πŸ’€) - A Python toolbox to create adversarial examples that fool neural.. MIT +- advertorch (πŸ₯‰23 Β· ⭐ 1.2K Β· πŸ’€) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 +- AdvBox (πŸ₯‰18 Β· ⭐ 1.3K Β· πŸ’€) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 +- robustness (πŸ₯‰18 Β· ⭐ 840 Β· πŸ’€) - A library for experimenting with, training and evaluating neural.. MIT - textflint (πŸ₯‰17 Β· ⭐ 620 Β· πŸ’€) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 -- AdvBox (πŸ₯‰16 Β· ⭐ 1.3K Β· πŸ’€) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 -- Adversary (πŸ₯‰13 Β· ⭐ 380 Β· πŸ’€) - Tool to generate adversarial text examples and test machine.. MIT +- Adversary (πŸ₯‰14 Β· ⭐ 380 Β· πŸ’€) - Tool to generate adversarial text examples and test machine.. MIT

@@ -7339,7 +7299,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuDF (πŸ₯‡33 Β· ⭐ 6K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 730 Β· πŸ“¦ 46 Β· πŸ“‹ 5.8K - 15% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 730 Β· πŸ“¦ 46 Β· πŸ“‹ 5.8K - 15% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/rapidsai/cudf @@ -7351,16 +7311,16 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
optimum (πŸ₯‡33 Β· ⭐ 1.6K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 260 Β· πŸ“¦ 610 Β· πŸ“‹ 520 - 43% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 260 Β· πŸ“¦ 650 Β· πŸ“‹ 530 - 42% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 460K / month Β· πŸ“¦ 31 Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 450K / month Β· πŸ“¦ 31 Β· ⏱️ 21.09.2023): ``` pip install optimum ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 9.1K Β· ⏱️ 18.06.2023): +- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 9.2K Β· ⏱️ 18.06.2023): ``` conda install -c conda-forge optimum ``` @@ -7372,7 +7332,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 1.1M / month Β· πŸ“¦ 130 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 1.2M / month Β· πŸ“¦ 130 Β· ⏱️ 22.08.2023): ``` pip install gpustat ``` @@ -7395,7 +7355,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuML (πŸ₯ˆ30 Β· ⭐ 3.6K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 470 Β· πŸ“‹ 2.3K - 34% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 470 Β· πŸ“‹ 2.3K - 34% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/rapidsai/cuml @@ -7412,35 +7372,35 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 35K / month Β· πŸ“¦ 220 Β· ⏱️ 21.12.2022): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 33K / month Β· πŸ“¦ 220 Β· ⏱️ 21.12.2022): ``` pip install pycuda ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 250K Β· ⏱️ 01.10.2023): +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 260K Β· ⏱️ 01.10.2023): ``` conda install -c conda-forge pycuda ```
ArrayFire (πŸ₯ˆ28 Β· ⭐ 4.2K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 510 Β· πŸ“₯ 4.5K Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 29.08.2023): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 510 Β· πŸ“₯ 4.6K Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1K / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 960 / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
cuGraph (πŸ₯ˆ27 Β· ⭐ 1.4K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 120 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 130 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): ``` pip install cugraph ``` @@ -7456,7 +7416,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 17K / month Β· πŸ“¦ 200 Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 18K / month Β· πŸ“¦ 200 Β· ⏱️ 08.08.2023): ``` pip install cupy ``` @@ -7471,7 +7431,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (πŸ₯‰25 Β· ⭐ 4.6K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 590 Β· πŸ“‹ 1.5K - 18% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 590 Β· πŸ“‹ 1.5K - 18% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/NVIDIA/DALI @@ -7479,24 +7439,24 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Merlin (πŸ₯‰22 Β· ⭐ 610) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 -- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 92 Β· πŸ“‹ 440 - 44% open Β· ⏱️ 25.09.2023): +- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 92 Β· πŸ“‹ 440 - 44% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 3.5K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 3.8K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install merlin-core ```
Vulkan Kompute (πŸ₯‰21 Β· ⭐ 1.3K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 -- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 91 Β· πŸ“₯ 470 Β· πŸ“¦ 7 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 92 Β· πŸ“₯ 470 Β· πŸ“¦ 7 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 150 / month Β· ⏱️ 13.04.2022): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 170 / month Β· ⏱️ 13.04.2022): ``` pip install kp ``` @@ -7529,7 +7489,7 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡38 Β· ⭐ 4K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.5K Β· πŸ“¦ 15K Β· πŸ“‹ 1.3K - 48% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“¦ 15K Β· πŸ“‹ 1.3K - 48% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/tensorflow/datasets @@ -7538,37 +7498,37 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` pip install tensorflow-datasets ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (πŸ“₯ 23K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (πŸ“₯ 24K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tensorflow-datasets ```
-
TF Addons (πŸ₯‡35 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 +
tensorflow-hub (πŸ₯‡34 Β· ⭐ 3.4K) - A library for transfer learning by reusing parts of.. Apache-2 -- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“¦ 13K Β· πŸ“‹ 1.1K - 21% open Β· ⏱️ 12.09.2023): +- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 680 - 0% open Β· ⏱️ 06.10.2023): ``` - git clone https://github.com/tensorflow/addons + git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 840K / month Β· πŸ“¦ 210 Β· ⏱️ 12.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2.4M / month Β· πŸ“¦ 330 Β· ⏱️ 06.10.2023): ``` - pip install tensorflow-addons + pip install tensorflow-hub + ``` +- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 90K Β· ⏱️ 13.07.2023): + ``` + conda install -c conda-forge tensorflow-hub ```
-
tensorflow-hub (πŸ₯ˆ34 Β· ⭐ 3.4K) - A library for transfer learning by reusing parts of.. Apache-2 +
TF Addons (πŸ₯‡34 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 -- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 680 - 0% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“¦ 13K Β· πŸ“‹ 1.1K - 21% open Β· ⏱️ 12.09.2023): ``` - git clone https://github.com/tensorflow/hub - ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2.3M / month Β· πŸ“¦ 330 Β· ⏱️ 13.07.2023): - ``` - pip install tensorflow-hub + git clone https://github.com/tensorflow/addons ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 89K Β· ⏱️ 13.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 840K / month Β· πŸ“¦ 210 Β· ⏱️ 12.07.2023): ``` - conda install -c conda-forge tensorflow-hub + pip install tensorflow-addons ```
tensor2tensor (πŸ₯ˆ32 Β· ⭐ 14K) - Library of deep learning models and datasets designed to.. Apache-2 @@ -7578,91 +7538,91 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4.9K / month Β· πŸ“¦ 90 Β· ⏱️ 21.06.2017): +- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4.8K / month Β· πŸ“¦ 90 Β· ⏱️ 21.06.2017): ``` pip install tensor2tensor ```
TFX (πŸ₯ˆ32 Β· ⭐ 2K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 670 Β· πŸ“‹ 920 - 10% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 670 Β· πŸ“‹ 920 - 10% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 45K / month Β· πŸ“¦ 14 Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 46K / month Β· πŸ“¦ 14 Β· ⏱️ 06.09.2023): ``` pip install tfx ```
TF Model Optimization (πŸ₯ˆ32 Β· ⭐ 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 320 Β· πŸ“¦ 3.2K Β· πŸ“‹ 370 - 55% open Β· ⏱️ 14.09.2023): +- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 320 Β· πŸ“¦ 3.2K Β· πŸ“‹ 370 - 55% open Β· ⏱️ 14.09.2023): ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 470K / month Β· πŸ“¦ 30 Β· ⏱️ 26.05.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 460K / month Β· πŸ“¦ 30 Β· ⏱️ 26.05.2023): ``` pip install tensorflow-model-optimization ```
TensorFlow Transform (πŸ₯ˆ32 Β· ⭐ 970) - Input pipeline framework. Apache-2 -- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 210 Β· πŸ“¦ 1.5K Β· πŸ“‹ 220 - 20% open Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 210 Β· πŸ“¦ 1.5K Β· πŸ“‹ 220 - 20% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 780K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 810K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): ``` pip install tensorflow-transform ```
-
TensorFlow I/O (πŸ₯‰31 Β· ⭐ 670) - Dataset, streaming, and file system extensions.. Apache-2 +
TensorFlow I/O (πŸ₯‰30 Β· ⭐ 670) - Dataset, streaming, and file system extensions.. Apache-2 -- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“‹ 620 - 41% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“‹ 620 - 41% open Β· ⏱️ 07.10.2023): ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 3M / month Β· πŸ“¦ 33 Β· ⏱️ 08.09.2023): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 3.1M / month Β· πŸ“¦ 33 Β· ⏱️ 08.09.2023): ``` pip install tensorflow-io ```
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Neural Structured Learning (πŸ₯‰26 Β· ⭐ 970) - Training neural models with structured signals. Apache-2 +
TensorFlow Cloud (πŸ₯‰26 Β· ⭐ 360 Β· πŸ’€) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 190 Β· πŸ“¦ 380 Β· πŸ“‹ 69 - 1% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 84 Β· πŸ“¦ 300 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 22.12.2022): ``` - git clone https://github.com/tensorflow/neural-structured-learning + git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 14K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 70K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` - pip install neural-structured-learning + pip install tensorflow-cloud ```
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TensorFlow Cloud (πŸ₯‰26 Β· ⭐ 360 Β· πŸ’€) - The TensorFlow Cloud repository provides APIs that.. Apache-2 +
Neural Structured Learning (πŸ₯‰25 Β· ⭐ 970) - Training neural models with structured signals. Apache-2 -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 84 Β· πŸ“¦ 300 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 22.12.2022): +- [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 190 Β· πŸ“¦ 380 Β· πŸ“‹ 69 - 1% open Β· ⏱️ 20.09.2023): ``` - git clone https://github.com/tensorflow/cloud + git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 70K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 14K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): ``` - pip install tensorflow-cloud + pip install neural-structured-learning ```
TF Compression (πŸ₯‰22 Β· ⭐ 780) - Data compression in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 240 Β· πŸ“‹ 97 - 6% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 240 Β· πŸ“‹ 98 - 7% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 6.3K / month Β· πŸ“¦ 2 Β· ⏱️ 26.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 6.7K / month Β· πŸ“¦ 2 Β· ⏱️ 26.07.2023): ``` pip install tensorflow-compression ``` @@ -7673,7 +7633,7 @@ _Libraries that extend TensorFlow with additional capabilities._ - efficientnet (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 - Saliency (πŸ₯‰21 Β· ⭐ 900 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - TensorNets (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT -- tffm (πŸ₯‰16 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT +- tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

@@ -7685,12 +7645,12 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡29 Β· ⭐ 1.4K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 87 Β· πŸ“¦ 240 Β· πŸ“‹ 240 - 25% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 89 Β· πŸ“¦ 250 Β· πŸ“‹ 240 - 25% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 22K / month Β· πŸ“¦ 33 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 21K / month Β· πŸ“¦ 33 Β· ⏱️ 29.09.2023): ``` pip install equinox ``` @@ -7702,7 +7662,7 @@ _Libraries that extend Jax with additional capabilities._ ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 730 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 520 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): ``` pip install evojax ``` @@ -7723,7 +7683,7 @@ _Libraries that extend Jax with additional capabilities._ _Libraries that extend scikit-learn with additional capabilities._ -
imbalanced-learn (πŸ₯‡37 Β· ⭐ 6.5K) - A Python Package to Tackle the Curse of Imbalanced.. MIT +
imbalanced-learn (πŸ₯‡36 Β· ⭐ 6.5K) - A Python Package to Tackle the Curse of Imbalanced.. MIT - [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 1.2K Β· πŸ“¦ 21K Β· πŸ“‹ 570 - 6% open Β· ⏱️ 07.09.2023): @@ -7739,14 +7699,30 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge imbalanced-learn ```
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scikit-learn-intelex (πŸ₯‡34 Β· ⭐ 1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 +
MLxtend (πŸ₯‡34 Β· ⭐ 4.5K) - A library of extension and helper modules for Pythons data.. BSD-3 + +- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 830 Β· πŸ“¦ 11K Β· πŸ“‹ 470 - 28% open Β· ⏱️ 23.09.2023): + + ``` + git clone https://github.com/rasbt/mlxtend + ``` +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 680K / month Β· πŸ“¦ 180 Β· ⏱️ 25.09.2023): + ``` + pip install mlxtend + ``` +- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 290K Β· ⏱️ 25.09.2023): + ``` + conda install -c conda-forge mlxtend + ``` +
+
scikit-learn-intelex (πŸ₯‡34 Β· ⭐ 1.1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 160 Β· πŸ“¦ 8K Β· πŸ“‹ 220 - 23% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 160 Β· πŸ“¦ 8.1K Β· πŸ“‹ 220 - 23% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 130K / month Β· πŸ“¦ 17 Β· ⏱️ 21.07.2023): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 150K / month Β· πŸ“¦ 17 Β· ⏱️ 21.07.2023): ``` pip install scikit-learn-intelex ``` @@ -7757,7 +7733,7 @@ _Libraries that extend scikit-learn with additional capabilities._
category_encoders (πŸ₯ˆ33 Β· ⭐ 2.3K) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 390 Β· πŸ“¦ 1.1K Β· πŸ“‹ 280 - 16% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 390 Β· πŸ“¦ 1.1K Β· πŸ“‹ 280 - 16% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/scikit-learn-contrib/category_encoders @@ -7773,24 +7749,24 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-multilearn (πŸ₯ˆ28 Β· ⭐ 870) - A scikit-learn based module for multi-label et. al... BSD-2 -- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 1.3K Β· πŸ“‹ 200 - 38% open Β· ⏱️ 19.04.2023): +- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 1.3K Β· πŸ“‹ 210 - 41% open Β· ⏱️ 19.04.2023): ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` -- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 83K / month): +- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 81K / month Β· πŸ“¦ 24 Β· ⏱️ 10.12.2018): ``` pip install scikit-multilearn ```
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scikit-lego (πŸ₯ˆ26 Β· ⭐ 1.1K) - Extra blocks for scikit-learn pipelines. MIT +
scikit-lego (πŸ₯ˆ27 Β· ⭐ 1.1K) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 100 Β· πŸ“¦ 120 Β· πŸ“‹ 280 - 11% open Β· ⏱️ 25.09.2023): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 100 Β· πŸ“¦ 120 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 35K / month): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 36K / month Β· πŸ“¦ 7 Β· ⏱️ 18.07.2023): ``` pip install scikit-lego ``` @@ -7799,14 +7775,14 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge scikit-lego ```
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scikit-opt (πŸ₯‰23 Β· ⭐ 4.4K Β· πŸ’€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT +
scikit-opt (πŸ₯‰23 Β· ⭐ 4.5K Β· πŸ’€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 900 Β· πŸ“¦ 150 Β· πŸ“‹ 170 - 36% open Β· ⏱️ 19.02.2023): ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.7K / month Β· πŸ“¦ 8 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.5K / month Β· πŸ“¦ 8 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ``` @@ -7818,36 +7794,35 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/yzhao062/combo ``` -- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 28K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 47K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): ``` pip install combo ```
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DESlib (πŸ₯‰14 Β· ⭐ 440) - A Python library for dynamic classifier and ensemble selection. BSD-3 +
DESlib (πŸ₯‰16 Β· ⭐ 440) - A Python library for dynamic classifier and ensemble selection. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 73 Β· πŸ“‹ 150 - 9% open Β· ⏱️ 18.06.2023): ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 850 / month): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 820 / month Β· πŸ“¦ 2 Β· ⏱️ 08.02.2021): ``` pip install deslib ```
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Show 11 hidden projects... +
Show 10 hidden projects... -- MLxtend (πŸ₯ˆ32 Β· ⭐ 4.5K) - A library of extension and helper modules for Pythons data.. ❗Unlicensed -- scikit-survival (πŸ₯ˆ28 Β· ⭐ 980) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 +- scikit-survival (πŸ₯ˆ28 Β· ⭐ 990) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - sklearn-crfsuite (πŸ₯ˆ28 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT -- fancyimpute (πŸ₯ˆ26 Β· ⭐ 1.2K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 +- fancyimpute (πŸ₯‰26 Β· ⭐ 1.2K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 +- sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 - iterative-stratification (πŸ₯‰22 Β· ⭐ 800 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 -- sklearn-contrib-lightning (πŸ₯‰20 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. ❗Unlicensed -- skope-rules (πŸ₯‰19 Β· ⭐ 560 Β· πŸ’€) - machine learning with logical rules in Python. ❗Unlicensed +- skope-rules (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause +- celer (πŸ₯‰19 Β· ⭐ 180) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 +- scikit-tda (πŸ₯‰18 Β· ⭐ 450 Β· πŸ’€) - Topological Data Analysis for Python. MIT - skggm (πŸ₯‰17 Β· ⭐ 230) - Scikit-learn compatible estimation of general graphical models. MIT -- celer (πŸ₯‰17 Β· ⭐ 180) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 -- scikit-tda (πŸ₯‰16 Β· ⭐ 450 Β· πŸ’€) - Topological Data Analysis for Python. ❗Unlicensed -- dabl (πŸ₯‰15 Β· ⭐ 120 Β· πŸ’€) - Data Analysis Baseline Library. BSD-3 +- dabl (πŸ₯‰14 Β· ⭐ 120 Β· πŸ’€) - Data Analysis Baseline Library. BSD-3

@@ -7859,16 +7834,16 @@ _Libraries that extend Pytorch with additional capabilities._
accelerate (πŸ₯‡38 Β· ⭐ 5.8K) - A simple way to train and use PyTorch models with multi-.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 600 Β· πŸ“¦ 15K Β· πŸ“‹ 1K - 10% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 610 Β· πŸ“¦ 15K Β· πŸ“‹ 1K - 10% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 7.1M / month): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 7.2M / month Β· πŸ“¦ 330 Β· ⏱️ 14.09.2023): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 71K Β· ⏱️ 15.09.2023): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 73K Β· ⏱️ 15.09.2023): ``` conda install -c conda-forge accelerate ``` @@ -7880,7 +7855,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 270K / month Β· πŸ“¦ 19 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 310K / month Β· πŸ“¦ 19 Β· ⏱️ 25.07.2023): ``` pip install pytorch-metric-learning ``` @@ -7891,7 +7866,7 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (πŸ₯‡31 Β· ⭐ 20K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2K Β· πŸ“¦ 27 Β· πŸ“‹ 380 - 16% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.1K Β· πŸ“¦ 27 Β· πŸ“‹ 380 - 16% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/geohot/tinygrad @@ -7899,12 +7874,12 @@ _Libraries that extend Pytorch with additional capabilities._
lightning-flash (πŸ₯‡31 Β· ⭐ 1.7K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 -- [GitHub](https://github.com/Lightning-Universe/lightning-flash) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 210 Β· πŸ“¦ 250 Β· πŸ“‹ 520 - 4% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/Lightning-Universe/lightning-flash) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 210 Β· πŸ“¦ 250 Β· πŸ“‹ 520 - 4% open Β· ⏱️ 08.10.2023): ``` git clone https://github.com/Lightning-AI/lightning-flash ``` -- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 1.8K / month): +- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 1.8K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2022): ``` pip install lightning-flash ``` @@ -7920,7 +7895,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/google-research/torchsde ``` -- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.1M / month Β· πŸ“¦ 10 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1M / month Β· πŸ“¦ 10 Β· ⏱️ 26.09.2023): ``` pip install torchsde ``` @@ -7936,7 +7911,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 990K / month Β· πŸ“¦ 36 Β· ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 900K / month Β· πŸ“¦ 36 Β· ⏱️ 22.04.2022): ``` pip install torchdiffeq ``` @@ -7952,11 +7927,11 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 100K / month Β· πŸ“¦ 42 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 110K / month Β· πŸ“¦ 42 Β· ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` -- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 8.9K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 9K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge torch-optimizer ``` @@ -7968,27 +7943,27 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 34K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 39K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): ``` pip install pytorch-tabnet ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 5.5K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 5.6K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pytorch-tabnet ```
torch-scatter (πŸ₯ˆ26 Β· ⭐ 1.4K) - PyTorch Extension Library of Optimized Scatter Operations. MIT -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 160 Β· πŸ“‹ 330 - 6% open Β· ⏱️ 04.06.2023): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 160 Β· πŸ“‹ 340 - 7% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 42K / month Β· πŸ“¦ 67 Β· ⏱️ 24.11.2022): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 41K / month Β· πŸ“¦ 77 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 220K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 220K Β· ⏱️ 08.10.2023): ``` conda install -c conda-forge pytorch_scatter ``` @@ -8000,19 +7975,19 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 21K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 19K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): ``` pip install pytorch_toolbelt ```
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PyTorch Sparse (πŸ₯ˆ23 Β· ⭐ 880) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT +
PyTorch Sparse (πŸ₯ˆ25 Β· ⭐ 880) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 140 Β· πŸ“‹ 250 - 11% open Β· ⏱️ 12.09.2023): +- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 140 Β· πŸ“‹ 240 - 8% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 24K / month Β· πŸ“¦ 59 Β· ⏱️ 22.12.2022): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 24K / month Β· πŸ“¦ 73 Β· ⏱️ 06.10.2023): ``` pip install torch-sparse ``` @@ -8028,19 +8003,19 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 1.8K / month): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 1.8K / month Β· ⏱️ 06.11.2021): ``` pip install reformer-pytorch ```
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madgrad (πŸ₯‰15 Β· ⭐ 790) - MADGRAD Optimization Method. MIT +
madgrad (πŸ₯‰16 Β· ⭐ 790) - MADGRAD Optimization Method. MIT -- [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 56 Β· πŸ“¦ 61 Β· ⏱️ 11.04.2023): +- [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 56 Β· πŸ“¦ 61 Β· πŸ“‹ 11 - 9% open Β· ⏱️ 11.04.2023): ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.3K / month): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.1K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): ``` pip install madgrad ``` @@ -8049,21 +8024,21 @@ _Libraries that extend Pytorch with additional capabilities._ - pretrainedmodels (πŸ₯ˆ29 Β· ⭐ 8.8K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - pytorch-summary (πŸ₯ˆ28 Β· ⭐ 3.9K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT -- SRU (πŸ₯ˆ23 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT -- Torchmeta (πŸ₯ˆ23 Β· ⭐ 1.9K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT -- Higher (πŸ₯ˆ23 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 -- EfficientNets (πŸ₯ˆ23 Β· ⭐ 1.5K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 -- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- SRU (πŸ₯‰23 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT +- Torchmeta (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT +- Higher (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 +- EfficientNets (πŸ₯‰23 Β· ⭐ 1.5K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - Antialiased CNNs (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 +- AdaBound (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 +- pytorchviz (πŸ₯‰20 Β· ⭐ 2.8K Β· πŸ’€) - A small package to create visualizations of PyTorch execution.. MIT - Lambda Networks (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - Poutyne (πŸ₯‰20 Β· ⭐ 550) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 -- AdaBound (πŸ₯‰19 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 -- pytorchviz (πŸ₯‰19 Β· ⭐ 2.8K Β· πŸ’€) - A small package to create visualizations of PyTorch execution.. MIT -- Performer Pytorch (πŸ₯‰19 Β· ⭐ 990 Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT +- Performer Pytorch (πŸ₯‰19 Β· ⭐ 1K Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT - micrograd (πŸ₯‰18 Β· ⭐ 6.3K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT +- Tez (πŸ₯‰17 Β· ⭐ 1.2K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Torch-Struct (πŸ₯‰17 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Tensor Sensor (πŸ₯‰17 Β· ⭐ 740 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT -- Tez (πŸ₯‰16 Β· ⭐ 1.2K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Pywick (πŸ₯‰15 Β· ⭐ 390 Β· πŸ’€) - High-level batteries-included neural network training library for.. MIT - TorchDrift (πŸ₯‰14 Β· ⭐ 300 Β· πŸ’€) - Drift Detection for your PyTorch Models. Apache-2
@@ -8083,54 +8058,86 @@ _Libraries for connecting to, operating, and querying databases._ Back to top +
SymPy (πŸ₯‡48 Β· ⭐ 11K) - A computer algebra system written in pure Python. BSD-3 + +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4K Β· πŸ“₯ 520K Β· πŸ“¦ 86K Β· πŸ“‹ 13K - 36% open Β· ⏱️ 12.10.2023): + + ``` + git clone https://github.com/sympy/sympy + ``` +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 9.7M / month Β· πŸ“¦ 4.7K Β· ⏱️ 10.05.2023): + ``` + pip install sympy + ``` +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 4.5M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge sympy + ``` +
scipy (πŸ₯‡47 Β· ⭐ 12K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 4.9K Β· πŸ“₯ 380K Β· πŸ“¦ 16 Β· πŸ“‹ 9.7K - 17% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 4.9K Β· πŸ“₯ 380K Β· πŸ“¦ 18 Β· πŸ“‹ 9.7K - 17% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 60M / month Β· πŸ“¦ 64K Β· ⏱️ 27.09.2023): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 61M / month Β· πŸ“¦ 64K Β· ⏱️ 27.09.2023): ``` pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 42M Β· ⏱️ 05.10.2023): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 43M Β· ⏱️ 05.10.2023): ``` conda install -c conda-forge scipy ```
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Gradio (πŸ₯‡42 Β· ⭐ 22K) - Wrap UIs around any model, share with anyone. Apache-2 +
Streamlit (πŸ₯‡41 Β· ⭐ 28K) - Streamlit A faster way to build and share data apps. Apache-2 + +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.4K Β· πŸ“¦ 1K Β· πŸ“‹ 3.6K - 18% open Β· ⏱️ 11.10.2023): + + ``` + git clone https://github.com/streamlit/streamlit + ``` +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 2.3M / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.10.2023): + ``` + pip install streamlit + ``` +
+
Gradio (πŸ₯‡41 Β· ⭐ 23K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.5K Β· πŸ“¦ 14K Β· πŸ“‹ 2.9K - 13% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.5K Β· πŸ“¦ 15K Β· πŸ“‹ 2.9K - 14% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 3.6M / month): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 3.1M / month Β· πŸ“¦ 160 Β· ⏱️ 06.10.2023): ``` pip install gradio ```
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Streamlit (πŸ₯‡41 Β· ⭐ 28K) - Streamlit A faster way to build and share data apps. Apache-2 +
Autograd (πŸ₯‡36 Β· ⭐ 6.5K) - Efficiently computes derivatives of numpy code. MIT -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.4K Β· πŸ“¦ 1K Β· πŸ“‹ 3.6K - 18% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 870 Β· πŸ“¦ 6.3K Β· πŸ“‹ 410 - 42% open Β· ⏱️ 02.08.2023): ``` - git clone https://github.com/streamlit/streamlit + git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 2.2M / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.2M / month Β· πŸ“¦ 320 Β· ⏱️ 23.06.2023): ``` - pip install streamlit + pip install autograd + ``` +- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 360K Β· ⏱️ 26.06.2023): + ``` + conda install -c conda-forge autograd ```
DeepChem (πŸ₯‡36 Β· ⭐ 4.6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.5K Β· πŸ“¦ 270 Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.5K Β· πŸ“¦ 270 Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 15K / month Β· πŸ“¦ 11 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 15K / month Β· πŸ“¦ 11 Β· ⏱️ 11.10.2023): ``` pip install deepchem ``` @@ -8141,12 +8148,12 @@ _Libraries for connecting to, operating, and querying databases._
Datasette (πŸ₯‡35 Β· ⭐ 8.3K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 590 Β· πŸ“₯ 57 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 31% open Β· ⏱️ 21.09.2023): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 590 Β· πŸ“₯ 58 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 32% open Β· ⏱️ 08.10.2023): ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 31K / month Β· πŸ“¦ 200 Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 33K / month Β· πŸ“¦ 200 Β· ⏱️ 08.10.2023): ``` pip install datasette ``` @@ -8155,32 +8162,32 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge datasette ```
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carla (πŸ₯‡34 Β· ⭐ 9.7K) - Open-source simulator for autonomous driving research. MIT +
agate (πŸ₯‡35 Β· ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.9K Β· πŸ“¦ 550 Β· πŸ“‹ 4.6K - 18% open Β· ⏱️ 06.06.2023): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 150 Β· πŸ“¦ 2.2K Β· πŸ“‹ 650 - 1% open Β· ⏱️ 10.10.2023): ``` - git clone https://github.com/carla-simulator/carla + git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 12K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2022): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 3.8M / month Β· πŸ“¦ 150 Β· ⏱️ 10.10.2023): ``` - pip install carla + pip install agate + ``` +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 150K Β· ⏱️ 11.10.2023): + ``` + conda install -c conda-forge agate ```
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Autograd (πŸ₯‡34 Β· ⭐ 6.5K) - Efficiently computes derivatives of numpy code. MIT +
carla (πŸ₯ˆ34 Β· ⭐ 9.7K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 840 Β· πŸ“¦ 6.2K Β· πŸ“‹ 390 - 39% open Β· ⏱️ 02.08.2023): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.9K Β· πŸ“¦ 550 Β· πŸ“‹ 4.6K - 18% open Β· ⏱️ 06.06.2023): ``` - git clone https://github.com/HIPS/autograd - ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.2M / month): - ``` - pip install autograd + git clone https://github.com/carla-simulator/carla ``` -- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 360K Β· ⏱️ 26.06.2023): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 13K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2022): ``` - conda install -c conda-forge autograd + pip install carla ```
PaddleHub (πŸ₯ˆ33 Β· ⭐ 12K Β· πŸ’€) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 @@ -8190,62 +8197,62 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 4.7K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2023): ``` pip install paddlehub ```
hdbscan (πŸ₯ˆ33 Β· ⭐ 2.5K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 460 Β· πŸ“¦ 2.6K Β· πŸ“‹ 490 - 66% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 460 Β· πŸ“¦ 2.7K Β· πŸ“‹ 490 - 66% open Β· ⏱️ 04.10.2023): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 520K / month Β· πŸ“¦ 210 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 560K / month Β· πŸ“¦ 220 Β· ⏱️ 18.07.2023): ``` pip install hdbscan ``` -- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 1.7M Β· ⏱️ 24.08.2023): +- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 1.7M Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge hdbscan ```
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PennyLane (πŸ₯ˆ33 Β· ⭐ 1.9K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 +
Pythran (πŸ₯ˆ33 Β· ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 480 Β· πŸ“₯ 70 Β· πŸ“¦ 640 Β· πŸ“‹ 1K - 20% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 1.3K Β· πŸ“‹ 830 - 15% open Β· ⏱️ 06.09.2023): ``` - git clone https://github.com/PennyLaneAI/PennyLane + git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 35K / month): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 190K / month Β· πŸ“¦ 22 Β· ⏱️ 06.09.2023): ``` - pip install pennylane + pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 25K Β· ⏱️ 11.09.2023): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 410K Β· ⏱️ 21.09.2023): ``` - conda install -c conda-forge pennylane + conda install -c conda-forge pythran ```
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PyOD (πŸ₯ˆ32 Β· ⭐ 7.4K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 +
PyOD (πŸ₯ˆ32 Β· ⭐ 7.5K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 -- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.8K Β· πŸ“‹ 310 - 54% open Β· ⏱️ 16.07.2023): +- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.9K Β· πŸ“‹ 330 - 57% open Β· ⏱️ 16.07.2023): ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 580K / month): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 600K / month Β· πŸ“¦ 56 Β· ⏱️ 25.06.2023): ``` pip install pyod ``` -- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 82K Β· ⏱️ 26.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 83K Β· ⏱️ 26.06.2023): ``` conda install -c conda-forge pyod ```
River (πŸ₯ˆ32 Β· ⭐ 4.4K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 500 Β· πŸ“¦ 360 Β· πŸ“‹ 460 - 4% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 500 Β· πŸ“¦ 360 Β· πŸ“‹ 460 - 4% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/online-ml/river @@ -8254,65 +8261,65 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install river ``` -- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 49K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 50K Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge river ```
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agate (πŸ₯ˆ32 Β· ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT +
PennyLane (πŸ₯ˆ32 Β· ⭐ 1.9K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 140 Β· πŸ“¦ 2.2K Β· πŸ“‹ 640 - 1% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 480 Β· πŸ“₯ 70 Β· πŸ“¦ 640 Β· πŸ“‹ 1.1K - 27% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/wireservice/agate + git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 3.8M / month): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 35K / month Β· πŸ“¦ 58 Β· ⏱️ 28.08.2023): ``` - pip install agate + pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 150K Β· ⏱️ 07.09.2023): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 25K Β· ⏱️ 11.09.2023): ``` - conda install -c conda-forge agate + conda install -c conda-forge pennylane ```
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causalml (πŸ₯ˆ31 Β· ⭐ 4.3K) - Uplift modeling and causal inference with machine learning.. Apache-2 +
pyopencl (πŸ₯ˆ32 Β· ⭐ 990) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 690 Β· πŸ“¦ 160 Β· πŸ“‹ 350 - 24% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 240 Β· πŸ“¦ 1.7K Β· πŸ“‹ 330 - 21% open Β· ⏱️ 06.10.2023): ``` - git clone https://github.com/uber/causalml + git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 310K / month Β· πŸ“¦ 1 Β· ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 71K / month Β· πŸ“¦ 200 Β· ⏱️ 06.10.2023): ``` - pip install causalml + pip install pyopencl + ``` +- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 950K Β· ⏱️ 07.10.2023): + ``` + conda install -c conda-forge pyopencl ```
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Pythran (πŸ₯ˆ31 Β· ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3 +
pandas-ai (πŸ₯ˆ30 Β· ⭐ 8.7K Β· 🐣) - PandasAI is the Python library that integrates Gen AI into pandas,.. MIT -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 180 Β· πŸ“¦ 1.3K Β· πŸ“‹ 820 - 13% open Β· ⏱️ 06.09.2023): +- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 690 Β· πŸ“¦ 2.3K Β· πŸ“‹ 330 - 31% open Β· ⏱️ 12.10.2023): ``` - git clone https://github.com/serge-sans-paille/pythran - ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 190K / month): - ``` - pip install pythran + git clone https://github.com/gventuri/pandas-ai ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 410K Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/pandas-ai): ``` - conda install -c conda-forge pythran + pip install pandas-ai ```
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pandas-ai (πŸ₯ˆ30 Β· ⭐ 8.7K Β· 🐣) - PandasAI is the Python library that integrates Gen AI into pandas,.. MIT +
causalml (πŸ₯ˆ30 Β· ⭐ 4.3K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 680 Β· πŸ“¦ 2.2K Β· πŸ“‹ 330 - 31% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 690 Β· πŸ“¦ 170 Β· πŸ“‹ 360 - 24% open Β· ⏱️ 09.10.2023): ``` - git clone https://github.com/gventuri/pandas-ai + git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/pandas-ai): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 260K / month Β· πŸ“¦ 1 Β· ⏱️ 28.08.2023): ``` - pip install pandas-ai + pip install causalml ```
adapter-transformers (πŸ₯ˆ30 Β· ⭐ 1.9K) - Huggingface Transformers + Adapters =. Apache-2 huggingface @@ -8322,19 +8329,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 13K / month Β· πŸ“¦ 7 Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 12K / month Β· πŸ“¦ 7 Β· ⏱️ 18.05.2022): ``` pip install adapter-transformers ```
avalanche (πŸ₯ˆ30 Β· ⭐ 1.5K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“₯ 4 Β· πŸ“¦ 46 Β· πŸ“‹ 740 - 11% open Β· ⏱️ 25.09.2023): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“₯ 4 Β· πŸ“¦ 49 Β· πŸ“‹ 740 - 11% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/ContinualAI/avalanche ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): ``` pip install avalanche-lib ``` @@ -8346,7 +8353,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 17K / month Β· πŸ“¦ 49 Β· ⏱️ 14.01.2023): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 20K / month Β· πŸ“¦ 49 Β· ⏱️ 14.01.2023): ``` pip install tensorly ``` @@ -8357,12 +8364,12 @@ _Libraries for connecting to, operating, and querying databases._
pyjanitor (πŸ₯ˆ30 Β· ⭐ 1.2K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 470 Β· πŸ“‹ 530 - 19% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 480 Β· πŸ“‹ 540 - 19% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 32K / month): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 32K / month Β· πŸ“¦ 18 Β· ⏱️ 18.09.2023): ``` pip install pyjanitor ``` @@ -8371,9 +8378,25 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyjanitor ```
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datalad (πŸ₯ˆ30 Β· ⭐ 460 Β· πŸ“ˆ) - Keep code, data, containers under control with git and git-annex. MIT + +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 09.10.2023): + + ``` + git clone https://github.com/datalad/datalad + ``` +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 17K / month Β· πŸ“¦ 63 Β· ⏱️ 10.08.2023): + ``` + pip install datalad + ``` +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 400K Β· ⏱️ 10.08.2023): + ``` + conda install -c conda-forge datalad + ``` +
anomalib (πŸ₯ˆ29 Β· ⭐ 2.4K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 440 Β· πŸ“₯ 2.7K Β· πŸ“¦ 29 Β· πŸ“‹ 580 - 10% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 440 Β· πŸ“₯ 2.9K Β· πŸ“¦ 31 Β· πŸ“‹ 580 - 10% open Β· ⏱️ 03.10.2023): ``` git clone https://github.com/openvinotoolkit/anomalib @@ -8385,49 +8408,65 @@ _Libraries for connecting to, operating, and querying databases._
alibi-detect (πŸ₯ˆ29 Β· ⭐ 1.9K) - Algorithms for outlier, adversarial and drift detection. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 190 Β· πŸ“¦ 370 Β· πŸ“‹ 350 - 33% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 200 Β· πŸ“¦ 370 Β· πŸ“‹ 370 - 36% open Β· ⏱️ 07.10.2023): ``` git clone https://github.com/SeldonIO/alibi-detect ``` -- [PyPi](https://pypi.org/project/alibi-detect) (πŸ“₯ 23K / month): +- [PyPi](https://pypi.org/project/alibi-detect) (πŸ“₯ 23K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2022): ``` pip install alibi-detect ```
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TabPy (πŸ₯ˆ28 Β· ⭐ 1.4K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT +
Prince (πŸ₯ˆ29 Β· ⭐ 1.1K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT + +- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 420 Β· πŸ“‹ 130 - 2% open Β· ⏱️ 11.10.2023): + + ``` + git clone https://github.com/MaxHalford/prince + ``` +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 72K / month Β· πŸ“¦ 10 Β· ⏱️ 11.10.2023): + ``` + pip install prince + ``` +- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 17K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge prince-factor-analysis + ``` +
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TabPy (πŸ₯‰28 Β· ⭐ 1.4K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT -- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 570 Β· πŸ“¦ 140 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 19.09.2023): +- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 570 Β· πŸ“¦ 140 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 11K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 12K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): ``` pip install tabpy ``` -- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 4.3K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 4.4K Β· ⏱️ 16.06.2023): ``` conda install -c anaconda tabpy-client ```
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metric-learn (πŸ₯ˆ28 Β· ⭐ 1.3K) - Metric learning algorithms in Python. MIT +
metric-learn (πŸ₯‰28 Β· ⭐ 1.3K) - Metric learning algorithms in Python. MIT -- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 220 Β· πŸ“¦ 300 Β· πŸ“‹ 160 - 26% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 260 Β· πŸ“¦ 300 Β· πŸ“‹ 170 - 31% open Β· ⏱️ 29.09.2023): ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 8.2K / month): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 8.2K / month Β· πŸ“¦ 12 Β· ⏱️ 09.10.2023): ``` pip install metric-learn ``` -- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 10K Β· ⏱️ 09.10.2023): ``` conda install -c conda-forge metric-learn ```
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kmodes (πŸ₯ˆ28 Β· ⭐ 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT +
kmodes (πŸ₯‰28 Β· ⭐ 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT - [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 400 Β· πŸ“¦ 2.3K Β· πŸ“‹ 160 - 10% open Β· ⏱️ 20.04.2023): @@ -8438,31 +8477,31 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install kmodes ``` -- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 36K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 37K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge kmodes ```
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PySwarms (πŸ₯ˆ28 Β· ⭐ 1.1K) - A research toolkit for particle swarm optimization in Python. MIT +
PySwarms (πŸ₯‰28 Β· ⭐ 1.1K) - A research toolkit for particle swarm optimization in Python. MIT -- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 320 Β· πŸ“¦ 300 Β· πŸ“‹ 220 - 9% open Β· ⏱️ 06.06.2023): +- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 320 Β· πŸ“¦ 310 Β· πŸ“‹ 220 - 9% open Β· ⏱️ 06.06.2023): ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 9.3K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 9K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): ``` pip install pyswarms ```
pysc2 (πŸ₯‰27 Β· ⭐ 7.8K) - StarCraft II Learning Environment. Apache-2 -- [GitHub](https://github.com/google-deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 31K Β· πŸ“¦ 600 Β· πŸ“‹ 280 - 16% open Β· ⏱️ 19.04.2023): +- [GitHub](https://github.com/google-deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 31K Β· πŸ“¦ 610 Β· πŸ“‹ 280 - 16% open Β· ⏱️ 19.04.2023): ``` git clone https://github.com/deepmind/pysc2 ``` -- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 1.4K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): +- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 1.6K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): ``` pip install pysc2 ``` @@ -8479,30 +8518,14 @@ _Libraries for connecting to, operating, and querying databases._ pip install pycm ```
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Prince (πŸ₯‰27 Β· ⭐ 1.1K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT - -- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 420 Β· πŸ“‹ 130 - 3% open Β· ⏱️ 12.09.2023): - - ``` - git clone https://github.com/MaxHalford/prince - ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 60K / month Β· πŸ“¦ 10 Β· ⏱️ 12.09.2023): - ``` - pip install prince - ``` -- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 17K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge prince-factor-analysis - ``` -
Trax (πŸ₯‰26 Β· ⭐ 7.7K Β· πŸ’€) - Trax Deep Learning with Clear Code and Speed. Apache-2 -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 790 Β· πŸ“¦ 120 Β· πŸ“‹ 230 - 45% open Β· ⏱️ 29.03.2023): +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 810 Β· πŸ“¦ 120 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 29.03.2023): ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4.3K / month): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4.4K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): ``` pip install trax ``` @@ -8514,31 +8537,35 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/modAL-python/modAL ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 98K / month Β· πŸ“¦ 3 Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 100K / month Β· πŸ“¦ 3 Β· ⏱️ 11.10.2023): ``` pip install modAL ```
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Mars (πŸ₯‰25 Β· ⭐ 2.6K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 +
Feature Engine (πŸ₯‰25 Β· ⭐ 1.5K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 -- [GitHub](https://github.com/mars-project/mars) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 310 Β· πŸ“‹ 1.2K - 17% open Β· ⏱️ 25.09.2023): +- [GitHub](https://github.com/solegalli/feature_engine) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 270 Β· ⏱️ 07.12.2022): ``` - git clone https://github.com/mars-project/mars + git clone https://github.com/solegalli/feature_engine ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 66K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 160K / month Β· πŸ“¦ 86 Β· ⏱️ 18.09.2023): ``` - pip install pymars + pip install feature_engine + ``` +- [Conda](https://anaconda.org/conda-forge/feature_engine) (πŸ“₯ 40K Β· ⏱️ 19.09.2023): + ``` + conda install -c conda-forge feature_engine ```
gplearn (πŸ₯‰25 Β· ⭐ 1.4K) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 -- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 250 Β· πŸ“¦ 440 Β· πŸ“‹ 210 - 9% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 250 Β· πŸ“¦ 440 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 5.2K / month): +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 5.3K / month Β· πŸ“¦ 13 Β· ⏱️ 03.05.2022): ``` pip install gplearn ``` @@ -8547,38 +8574,26 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge gplearn ```
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AugLy (πŸ₯‰24 Β· ⭐ 4.8K) - A data augmentations library for audio, image, text, and video. MIT - -- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 280 Β· πŸ“¦ 81 Β· πŸ“‹ 73 - 26% open Β· ⏱️ 25.08.2023): - - ``` - git clone https://github.com/facebookresearch/AugLy - ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 1.5K / month Β· πŸ“¦ 3 Β· ⏱️ 28.03.2022): - ``` - pip install augly - ``` -
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dstack (πŸ₯‰24 Β· ⭐ 820) - dstack is an open-source framework for orchestrating GPU workloads.. MPL-2.0 +
dstack (πŸ₯‰25 Β· ⭐ 820) - dstack is an open-source framework for orchestrating GPU workloads.. MPL-2.0 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 53 Β· πŸ“¦ 12 Β· πŸ“‹ 380 - 2% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 53 Β· πŸ“¦ 12 Β· πŸ“‹ 390 - 2% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 1K / month Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 800 / month Β· ⏱️ 12.10.2023): ``` pip install dstack ```
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BioPandas (πŸ₯‰24 Β· ⭐ 650) - Working with molecular structures in pandas DataFrames. BSD-3 +
BioPandas (πŸ₯‰25 Β· ⭐ 650) - Working with molecular structures in pandas DataFrames. BSD-3 - [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“¦ 200 Β· πŸ“‹ 56 - 41% open Β· ⏱️ 19.09.2023): ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 42K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 62K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): ``` pip install biopandas ``` @@ -8587,14 +8602,38 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge biopandas ```
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MONAILabel (πŸ₯‰23 Β· ⭐ 460) - MONAI Label is an intelligent open source image labeling and.. Apache-2 +
AugLy (πŸ₯‰24 Β· ⭐ 4.8K) - A data augmentations library for audio, image, text, and video. MIT + +- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 280 Β· πŸ“¦ 82 Β· πŸ“‹ 73 - 26% open Β· ⏱️ 25.08.2023): + + ``` + git clone https://github.com/facebookresearch/AugLy + ``` +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 1.4K / month Β· πŸ“¦ 3 Β· ⏱️ 28.03.2022): + ``` + pip install augly + ``` +
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Mars (πŸ₯‰24 Β· ⭐ 2.6K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 + +- [GitHub](https://github.com/mars-project/mars) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 310 Β· πŸ“‹ 1.2K - 17% open Β· ⏱️ 25.09.2023): + + ``` + git clone https://github.com/mars-project/mars + ``` +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 55K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): + ``` + pip install pymars + ``` +
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MONAILabel (πŸ₯‰24 Β· ⭐ 460) - MONAI Label is an intelligent open source image labeling and.. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 160 Β· πŸ“₯ 63K Β· πŸ“‹ 460 - 18% open Β· ⏱️ 31.08.2023): +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 160 Β· πŸ“₯ 64K Β· πŸ“‹ 460 - 18% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 710 / month Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 640 / month Β· ⏱️ 01.10.2023): ``` pip install monailabel-weekly ``` @@ -8606,7 +8645,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 930 / month Β· πŸ“¦ 36 Β· ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1K / month Β· πŸ“¦ 36 Β· ⏱️ 01.03.2022): ``` pip install astroML ``` @@ -8615,74 +8654,74 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge astroml ```
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SUOD (πŸ₯‰22 Β· ⭐ 350) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 + +- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 46 Β· πŸ“¦ 490 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 16.07.2023): + + ``` + git clone https://github.com/yzhao062/SUOD + ``` +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 39K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2021): + ``` + pip install suod + ``` +
benchmark_VAE (πŸ₯‰21 Β· ⭐ 1.5K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 130 Β· πŸ“¦ 14 Β· πŸ“‹ 47 - 36% open Β· ⏱️ 14.09.2023): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 130 Β· πŸ“¦ 14 Β· πŸ“‹ 47 - 36% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 650 / month Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 490 / month Β· ⏱️ 06.09.2023): ``` pip install pythae ```
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pykale (πŸ₯‰20 Β· ⭐ 400) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT +
pykale (πŸ₯‰21 Β· ⭐ 400) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT - [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 57 Β· πŸ“¦ 1 Β· πŸ“‹ 110 - 8% open Β· ⏱️ 04.10.2023): ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 19 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 24 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ```
rrcf (πŸ₯‰19 Β· ⭐ 460) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT -- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 52 Β· πŸ“‹ 46 - 56% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 52 Β· πŸ“‹ 47 - 57% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.6K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.9K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): ``` pip install rrcf ```
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SUOD (πŸ₯‰19 Β· ⭐ 350 Β· πŸ“‰) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 - -- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 46 Β· πŸ“¦ 490 Β· πŸ“‹ 10 - 70% open Β· ⏱️ 16.07.2023): - - ``` - git clone https://github.com/yzhao062/SUOD - ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 20K / month): - ``` - pip install suod - ``` -
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NeuralCompression (πŸ₯‰18 Β· ⭐ 390) - A collection of tools for neural compression enthusiasts. MIT +
NeuralCompression (πŸ₯‰18 Β· ⭐ 400) - A collection of tools for neural compression enthusiasts. MIT -- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 40 Β· πŸ“‹ 66 - 4% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 40 Β· πŸ“‹ 66 - 4% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 150 / month Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 180 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ```
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pymdp (πŸ₯‰16 Β· ⭐ 300) - A Python implementation of active inference for Markov Decision Processes. MIT +
pymdp (πŸ₯‰16 Β· ⭐ 310) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 50 Β· πŸ“¦ 6 Β· πŸ“‹ 36 - 33% open Β· ⏱️ 19.08.2023): +- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 53 Β· πŸ“¦ 6 Β· πŸ“‹ 36 - 33% open Β· ⏱️ 19.08.2023): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 110 / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 120 / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ``` @@ -8694,32 +8733,28 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/SforAiDl/KD_Lib ``` -- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 52 / month Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 40 / month Β· ⏱️ 18.05.2022): ``` pip install KD-Lib ```
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Show 21 hidden projects... +
Show 17 hidden projects... -- SymPy (πŸ₯‡46 Β· ⭐ 11K) - A computer algebra system written in pure Python. ❗Unlicensed -- cleanlab (πŸ₯ˆ30 Β· ⭐ 6.6K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 -- pyopencl (πŸ₯ˆ30 Β· ⭐ 990) - OpenCL integration for Python, plus shiny features. ❗Unlicensed -- pyclustering (πŸ₯ˆ28 Β· ⭐ 1.1K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 -- Cython BLIS (πŸ₯ˆ28 Β· ⭐ 200) - Fast matrix-multiplication as a self-contained Python.. ❗Unlicensed +- cleanlab (πŸ₯ˆ31 Β· ⭐ 6.8K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 +- Cython BLIS (πŸ₯ˆ30 Β· ⭐ 200) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 +- pyclustering (πŸ₯‰28 Β· ⭐ 1.1K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 - minisom (πŸ₯‰26 Β· ⭐ 1.3K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 -- datalad (πŸ₯‰26 Β· ⭐ 450 Β· πŸ“‰) - Keep code, data, containers under control with git and git-.. ❗Unlicensed - metricflow (πŸ₯‰25 Β· ⭐ 960) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed - findspark (πŸ₯‰24 Β· ⭐ 490 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 - mlens (πŸ₯‰22 Β· ⭐ 810 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT -- vecstack (πŸ₯‰21 Β· ⭐ 680 Β· πŸ’€) - Python package for stacking (machine learning technique). ❗Unlicensed +- vecstack (πŸ₯‰22 Β· ⭐ 680 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT - impyute (πŸ₯‰21 Β· ⭐ 340 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - opyrator (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT - StreamAlert (πŸ₯‰20 Β· ⭐ 2.8K Β· πŸ’€) - StreamAlert is a serverless, realtime data analysis.. Apache-2 - apricot (πŸ₯‰20 Β· ⭐ 480 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT - scikit-rebate (πŸ₯‰20 Β· ⭐ 380 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT -- baikal (πŸ₯‰17 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 -- pandas-ml (πŸ₯‰16 Β· ⭐ 310 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 -- Feature Engine (πŸ₯‰16 Β· ⭐ 35 Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 +- baikal (πŸ₯‰18 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 +- pandas-ml (πŸ₯‰18 Β· ⭐ 310 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 - traingenerator (πŸ₯‰14 Β· ⭐ 1.3K Β· πŸ’€) - A web app to generate template code for machine learning. MIT - nylon (πŸ₯‰11 Β· ⭐ 82 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT
diff --git a/history/2023-10-12_changes.md b/history/2023-10-12_changes.md new file mode 100644 index 00000000..ecec2e87 --- /dev/null +++ b/history/2023-10-12_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._ + +- PyTorch Geometric (πŸ₯‡38 Β· ⭐ 19K Β· πŸ“ˆ) - Graph Neural Network Library for PyTorch. MIT +- PyFlink (πŸ₯ˆ37 Β· ⭐ 22K Β· πŸ“ˆ) - Apache Flink Python API. Apache-2 +- glfw (πŸ₯ˆ35 Β· ⭐ 11K Β· πŸ“ˆ) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- torchaudio (πŸ₯‡35 Β· ⭐ 2.2K Β· πŸ“ˆ) - Data manipulation and transformation for audio signal.. BSD-2 +- datalad (πŸ₯ˆ30 Β· ⭐ 460 Β· πŸ“ˆ) - Keep code, data, containers under control with git and git-annex. MIT +- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- pygal (πŸ₯ˆ27 Β· ⭐ 2.6K Β· πŸ“ˆ) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- Feature Engine (πŸ₯‰25 Β· ⭐ 1.5K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 +- torch-cluster (πŸ₯ˆ24 Β· ⭐ 700 Β· πŸ“ˆ) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +- CometML (πŸ₯‰13 Β· πŸ“ˆ) - Supercharging Machine Learning. ❗Unlicensed + +## 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._ + +- torchvision (πŸ₯‡38 Β· ⭐ 15K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +- Theano (πŸ₯ˆ34 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define,.. ❗Unlicensed +- InsightFace (πŸ₯ˆ33 Β· ⭐ 18K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed +- HoloViews (πŸ₯ˆ31 Β· ⭐ 2.5K Β· πŸ“‰) - With Holoviews, your data visualizes itself. BSD-3 +- Tesseract (πŸ₯ˆ29 Β· ⭐ 5.1K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR).. Apache-2 +- igraph (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ“‰) - Python interface for igraph. ❗️GPL-2.0 +- opencv-python (πŸ₯‰27 Β· ⭐ 3.8K Β· πŸ“‰) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +- CNTK (πŸ₯‰26 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed +- langid (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. ❗Unlicensed +- eli5 (πŸ₯‰22 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT + diff --git a/history/2023-10-12_projects.csv b/history/2023-10-12_projects.csv new file mode 100644 index 00000000..cd9164d6 --- /dev/null +++ b/history/2023-10-12_projects.csv @@ -0,0 +1,917 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_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,helm_id,npm_id,npm_url,npm_monthly_downloads,npm_latest_release_published_at,npm_dependent_project_count,updated_github_id,brew_id,apt_id,yum_id,trending,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2023-10-02 11:44:23.000000,2023-10-02 11:44:23,1528.0,26.0,587.0,107.0,301.0,44.0,127.0,4092.0,Benchmarks of approximate nearest neighbor libraries in Python.,97.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2023-10-05 17:09:42.000000,2023-10-05 17:09:41,271.0,22.0,150.0,52.0,162.0,1.0,2.0,2031.0,Collection of web-scraping and crawling libraries.,12.0,0,True,2023-10-05 17:09:45.000,2023.10.05,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-10-12 13:34:59.000000,2023-10-10 13:14:04,289.0,26.0,219.0,86.0,165.0,4.0,4.0,3180.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2023-10-05 14:46:08.000,2023.10.05,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,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 19:11:32.000,2023-10-12 13:34:59.000000,2023-10-10 13:14:04,289.0,26.0,219.0,86.0,165.0,4.0,4.0,3180.0,Collection of database clients for python.,12.0,0,True,2023-10-05 14:46:08.000,2023.10.05,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-10-12 13:34:59.000000,2023-10-10 13:14:04,289.0,26.0,219.0,86.0,165.0,4.0,4.0,3180.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2023-10-05 14:46:08.000,2023.10.05,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-10-12 13:34:59.000000,2023-10-10 13:14:04,289.0,26.0,219.0,86.0,165.0,4.0,4.0,3180.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2023-10-05 14:46:08.000,2023.10.05,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2023-10-12 14:12:50.000000,2023-10-12 14:12:45,154927.0,4055.0,88876.0,7685.0,23440.0,2109.0,36212.0,180406.0,An Open Source Machine Learning Framework for Everyone.,4464.0,55,True,2023-09-26 22:51:39.000,2.14.0,184.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],325859.0,310643.0,https://pypi.org/project/tensorflow,2023-09-26 22:51:39.000,15216.0,17620918.0,18891463.0,https://anaconda.org/conda-forge/tensorflow,2023-10-11 01:21:15.294,4371301.0,https://hub.docker.com/r/tensorflow/tensorflow,2023-10-12 12:49:46.839240,2222.0,74560290.0,1.0,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2023-10-12 14:11:09.000000,2023-10-12 13:47:04,65043.0,3023.0,19241.0,1673.0,73975.0,12517.0,24936.0,71571.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4399.0,53,True,2023-10-04 17:32:12.000,2.1.0,46.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],338304.0,327365.0,https://pypi.org/project/torch,2023-10-04 16:37:27.000,10939.0,12437131.0,13191433.0,https://anaconda.org/pytorch/pytorch,2023-10-03 19:01:54.763,18850219.0,,,,,1.0,25065.0,,,,,,,,,,,,,,,,,, +8,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 09:43:38.000,2023-10-12 14:01:01.000000,2023-10-11 18:44:26,30530.0,351.0,24703.0,2155.0,16225.0,2253.0,8843.0,56110.0,scikit-learn: machine learning in Python.,2998.0,52,True,2023-09-21 07:50:52.000,1.3.1,72.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],644541.0,614864.0,https://pypi.org/project/scikit-learn,2023-09-21 07:50:52.000,29677.0,41768143.0,42374388.0,https://anaconda.org/conda-forge/scikit-learn,2023-10-06 10:34:32.875,24855675.0,,,,,1.0,903.0,,,,,,,,,,,,,,,,,, +9,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2023-10-12 14:12:11.000000,2023-10-12 12:48:01,14184.0,772.0,21510.0,1060.0,13435.0,659.0,12344.0,113185.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2183.0,50,True,2023-10-03 15:00:52.000,4.34.0,100.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",105370.0,105370.0,https://pypi.org/project/transformers,,,18304788.0,18339960.0,https://anaconda.org/conda-forge/transformers,2023-10-07 20:49:03.019,1371594.0,,,,,1.0,142.0,,,,,,,,,,,,,,,,,, +10,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2023-10-12 09:21:04.000000,2023-10-11 21:43:10,48680.0,804.0,6966.0,590.0,17210.0,1184.0,8651.0,18235.0,matplotlib: plotting with Python.,1577.0,48,True,2023-09-15 02:33:40.000,3.8.0,77.0,matplotlib,conda-forge/matplotlib,,,,966950.0,966950.0,https://pypi.org/project/matplotlib,,,40032478.0,40553479.0,https://anaconda.org/conda-forge/matplotlib,2023-10-11 08:16:55.440,20840061.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +11,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2023-10-12 14:42:53.000000,2023-10-12 14:42:53,56308.0,1639.0,3997.0,291.0,12700.0,4826.0,8524.0,11404.0,A computer algebra system written in pure Python.,1254.0,48,True,2023-05-10 18:09:23.000,sympy-1.12,50.0,sympy,conda-forge/sympy,,,,91016.0,86328.0,https://pypi.org/project/sympy,2023-05-10 18:24:09.226,4688.0,9687462.0,9741689.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,4452543.0,,,,,1.0,516501.0,,,,,,,,,,,,,,,,,, +12,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2023-10-12 13:46:02.000000,2023-10-11 20:10:31,30975.0,474.0,4859.0,344.0,9937.0,1676.0,8009.0,11784.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1543.0,47,True,2023-09-27 22:44:39.000,1.11.3,97.0,scipy,conda-forge/scipy,,,,64178.0,18.0,https://pypi.org/project/scipy,2023-09-27 21:55:42.000,64160.0,61120698.0,62343514.0,https://anaconda.org/conda-forge/scipy,2023-10-05 05:09:54.567,42662993.0,,,,,1.0,383535.0,,,,,,,,,,,,,,,,,, +13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2023-10-11 23:20:33.000000,2023-10-09 20:31:46,16345.0,302.0,1910.0,223.0,4410.0,76.0,2840.0,11156.0,Python Imaging Library (Fork).,448.0,47,True,2023-09-15 14:02:24.000,10.0.1,52.0,Pillow,conda-forge/pillow,,,,1371387.0,1371387.0,https://pypi.org/project/Pillow,,,66494390.0,67357638.0,https://anaconda.org/conda-forge/pillow,2023-10-03 09:17:12.702,33666698.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +14,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2023-10-12 13:05:32.000000,2023-10-12 08:28:58,9820.0,644.0,19399.0,1919.0,6620.0,376.0,11213.0,59507.0,Deep Learning for humans.,1243.0,46,True,2023-09-12 16:19:40.000,2.14.0,82.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],657.0,18.0,https://pypi.org/project/keras,2023-09-11 17:21:02.000,639.0,12642713.0,12724611.0,https://anaconda.org/conda-forge/keras,2023-07-28 12:24:35.264,3275944.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +15,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2023-10-12 13:35:48.000000,2023-10-12 13:34:49,38419.0,1053.0,27668.0,2040.0,43324.0,262.0,,36902.0,Apache Spark Python API.,2957.0,45,True,2023-09-26 20:30:58.000,3.5.0,40.0,pyspark,conda-forge/pyspark,,,['spark'],1161.0,,https://pypi.org/project/pyspark,2023-09-26 20:30:58.000,1161.0,25359557.0,25431401.0,https://anaconda.org/conda-forge/pyspark,2023-10-04 13:44:45.676,2873789.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,, +16,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2023-10-12 14:15:19.000000,2023-10-12 14:15:13,17834.0,1112.0,2303.0,315.0,11282.0,1563.0,3328.0,24953.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",584.0,45,True,2023-10-07 00:18:08.000,jax-v0.4.18,152.0,jax,conda-forge/jaxlib,,,,18847.0,18151.0,https://pypi.org/project/jax,2023-10-07 00:16:53.000,696.0,3532050.0,3555753.0,https://anaconda.org/conda-forge/jaxlib,2023-10-12 10:54:38.956,948155.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +17,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/lightning,https://github.com/Lightning-AI/lightning,Apache-2.0,2019-03-31 00:45:57.000,2023-10-12 14:13:29.000000,2023-10-12 08:36:49,9811.0,373.0,2957.0,241.0,9545.0,644.0,5869.0,24834.0,"Deep learning framework to train, deploy, and ship AI products Lightning fast.",907.0,45,True,2023-10-12 13:10:13.000,2.1.0,102.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],24806.0,24806.0,https://pypi.org/project/pytorch-lightning,,,3913515.0,3938147.0,https://anaconda.org/conda-forge/pytorch-lightning,2023-09-15 04:58:40.137,968785.0,,,,,1.0,13244.0,,,,,,,,,,,,,,,,,, +18,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2023-10-12 14:05:16.000000,2023-10-12 12:35:44,44132.0,1549.0,5341.0,728.0,40457.0,2046.0,16307.0,20909.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1108.0,45,True,2023-07-25 11:09:59.000,2.5.0,64.0,paddlepaddle,,,,['paddle'],4160.0,4084.0,https://pypi.org/project/paddlepaddle,2023-07-27 06:56:01.000,76.0,167957.0,168135.0,,,,,,,,1.0,15367.0,,,,,,,,,,,,,,,,,, +19,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2023-10-12 12:15:45.000000,2023-10-11 20:37:51,20253.0,91.0,4122.0,448.0,5831.0,771.0,6686.0,18110.0,"Interactive Data Visualization in the browser, from Python.",671.0,45,True,2023-10-10 16:21:33.000,3.3.0,181.0,bokeh,conda-forge/bokeh,,,,80964.0,77210.0,https://pypi.org/project/bokeh,2023-10-10 19:03:58.000,3754.0,3487722.0,3808067.0,https://anaconda.org/conda-forge/bokeh,2023-10-11 08:08:05.962,12813815.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +20,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2023-10-12 11:47:59.000000,2023-10-12 03:15:05,19425.0,1221.0,4705.0,461.0,24446.0,3301.0,12447.0,28145.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,926.0,44,True,2023-10-09 17:47:23.000,ray-2.7.1,92.0,ray,conda-forge/ray-tune,,,,12128.0,11711.0,https://pypi.org/project/ray,2023-10-09 17:21:25.000,417.0,2287739.0,2292663.0,https://anaconda.org/conda-forge/ray-tune,2023-10-11 07:46:04.124,167388.0,,,,,1.0,89.0,,,,,,,,,,,,,,,,,, +21,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2023-10-12 10:13:43.000000,2023-10-12 09:53:33,16056.0,91.0,4113.0,558.0,3896.0,73.0,5413.0,27300.0,Industrial-strength Natural Language Processing (NLP) in Python.,741.0,44,True,2023-10-05 06:46:15.000,3.7.1,100.0,spacy,conda-forge/spacy,,,,71402.0,71402.0,https://pypi.org/project/spacy,,,6617585.0,6698659.0,https://anaconda.org/conda-forge/spacy,2023-10-10 09:44:18.186,3242982.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +22,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2023-10-12 12:44:22.532000,2023-10-12 06:26:09,6584.0,148.0,8650.0,914.0,4711.0,364.0,4624.0,24807.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",625.0,44,True,2023-09-12 03:14:32.000,2.0.0,77.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,70408.0,68692.0,https://pypi.org/project/xgboost,2023-09-12 03:14:32.000,1716.0,10894739.0,11005191.0,https://anaconda.org/conda-forge/xgboost,2023-10-12 12:44:22.532,4305201.0,,,,,2.0,7263.0,,,,,,,,,,,,,,,,,, +23,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2023-10-12 13:29:16.000000,2023-10-12 11:24:54,4766.0,410.0,3551.0,292.0,6528.0,1244.0,2201.0,15533.0,Open source platform for the machine learning lifecycle.,653.0,44,True,2023-09-17 21:48:08.000,2.7.1,82.0,mlflow,conda-forge/mlflow,,,,25216.0,24729.0,https://pypi.org/project/mlflow,2023-09-17 18:36:26.000,487.0,13760886.0,13800102.0,https://anaconda.org/conda-forge/mlflow,2023-09-21 15:54:18.751,1568672.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +24,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2023-10-12 13:59:31.000000,2023-10-04 18:04:34,6201.0,113.0,2390.0,279.0,1554.0,1408.0,1352.0,14251.0,The interactive graphing library for Python This project now includes Plotly Express!.,245.0,44,True,2023-09-15 15:44:22.000,5.17.0,293.0,plotly,conda-forge/plotly,,,,212183.0,206948.0,https://pypi.org/project/plotly,2023-09-15 15:37:38.000,5235.0,10566411.0,10723696.0,https://anaconda.org/conda-forge/plotly,2023-09-15 18:28:38.444,4903738.0,,,,,1.0,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,37682.0,,,,,,,,,,,,,, +25,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2023-10-05 23:45:15.777000,2023-09-01 10:54:50,15104.0,13.0,2754.0,277.0,3807.0,2653.0,2708.0,8906.0,Statsmodels: statistical modeling and econometrics in Python.,416.0,44,True,2023-05-05 11:36:02.375,0.14.0,35.0,statsmodels,conda-forge/statsmodels,,,,109559.0,104231.0,https://pypi.org/project/statsmodels,2023-05-05 11:36:02.375,5328.0,10989668.0,11278668.0,https://anaconda.org/conda-forge/statsmodels,2023-10-05 23:45:15.777,11560025.0,,,,,2.0,29.0,,,,,,,,,,,,,,,,,, +26,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2023-10-12 02:08:51.000000,2023-10-11 20:32:39,2553.0,123.0,3592.0,440.0,2974.0,313.0,2239.0,15685.0,Open standard for machine learning interoperability.,296.0,43,True,2023-08-25 21:00:03.000,1.14.1,30.0,onnx,conda-forge/onnx,,,,20009.0,19401.0,https://pypi.org/project/onnx,2023-08-25 20:34:27.000,608.0,3874714.0,3896256.0,https://anaconda.org/conda-forge/onnx,2023-10-11 15:26:47.399,850974.0,,,,,1.0,19338.0,,,,,,,,,,,,,,,,,, +27,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2023-10-12 14:11:25.000000,2023-10-10 01:05:51,3362.0,59.0,3642.0,441.0,3001.0,284.0,2840.0,15525.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",290.0,43,True,2023-09-12 01:51:05.000,4.1.0,29.0,lightgbm,conda-forge/lightgbm,,,,25895.0,25895.0,https://pypi.org/project/lightgbm,,,6886474.0,6944456.0,https://anaconda.org/conda-forge/lightgbm,2023-10-06 14:39:46.228,2048915.0,,,,,2.0,203290.0,,,,,,,,,,,,,,,,,, +28,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2023-10-12 13:00:14.000000,2023-10-12 01:39:53,7447.0,116.0,3072.0,277.0,3478.0,393.0,2874.0,13265.0,Network Analysis in Python.,680.0,43,True,2023-04-04 20:05:38.000,networkx-3.1,90.0,networkx,conda-forge/networkx,,,,205629.0,190907.0,https://pypi.org/project/networkx,2023-10-11 17:01:42.000,14722.0,27505047.0,27666865.0,https://anaconda.org/conda-forge/networkx,2023-06-16 13:18:51.990,13592724.0,,,,,1.0,65.0,,,,,,,,,,,,,,,,,, +29,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2023-10-12 13:28:21.000000,2023-10-12 08:11:07,7879.0,60.0,1645.0,214.0,5472.0,955.0,4033.0,11443.0,Parallel computing with task scheduling.,588.0,43,True,2023-09-29 22:05:24.000,2023.9.3,181.0,dask,conda-forge/dask,,,,56326.0,53325.0,https://pypi.org/project/dask,2023-09-29 22:05:24.000,3001.0,8170161.0,8420029.0,https://anaconda.org/conda-forge/dask,2023-09-30 21:04:26.876,10244599.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,, +30,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2023-10-09 05:20:51.000000,2023-10-01 17:43:20,3191.0,37.0,1715.0,255.0,1052.0,105.0,2288.0,11231.0,Statistical data visualization in Python.,200.0,43,True,2023-09-29 19:01:44.000,0.13.0,35.0,seaborn,conda-forge/seaborn,,,,310616.0,310616.0,https://pypi.org/project/seaborn,,,10383572.0,10573527.0,https://anaconda.org/conda-forge/seaborn,2023-10-02 16:03:37.621,7598122.0,,,,,1.0,275.0,,,,,,,,,,,,,,,,,, +31,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2023-10-12 12:58:32.000000,2023-10-12 12:58:32,5680.0,96.0,1604.0,193.0,4816.0,640.0,1208.0,6374.0,TensorFlows Visualization Toolkit.,307.0,43,True,2023-09-27 23:37:16.000,2.14.1,54.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],194703.0,191904.0,https://pypi.org/project/tensorboard,2023-09-27 23:37:16.000,2799.0,21045099.0,21153464.0,https://anaconda.org/conda-forge/tensorboard,2023-09-28 16:22:20.856,4334601.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +32,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2023-09-28 08:36:01.000000,2023-09-28 08:36:01,14447.0,2.0,2781.0,465.0,1429.0,267.0,1485.0,12409.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,444.0,42,True,2023-07-20 15:52:53.307,0.9.9,59.0,nltk,conda-forge/nltk,,,,236833.0,224199.0,https://pypi.org/project/nltk,2023-01-02 22:02:43.849,12634.0,12241588.0,12267933.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2265679.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +33,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2023-10-12 14:12:57.000000,2023-10-11 07:54:52,4529.0,57.0,2024.0,1700.0,4362.0,227.0,2546.0,11228.0,WebGL2 powered visualization framework.,238.0,42,True,2023-10-11 09:15:23.387,8.9.31,615.0,pydeck,conda-forge/pydeck,,,['jupyter'],7122.0,6614.0,https://pypi.org/project/pydeck,2023-04-15 06:29:01.705,40.0,1480160.0,1988407.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,448591.0,,,,,1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,498052.0,2023-10-11 09:15:23.387,468.0,,,,,,,,,,,, +34,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2023-10-11 06:24:51.000000,2023-10-09 18:56:31,3577.0,58.0,761.0,145.0,1275.0,185.0,1694.0,8497.0,Declarative statistical visualization library for Python.,158.0,42,True,2023-10-03 18:18:45.000,5.1.2,38.0,altair,conda-forge/altair,,,,79440.0,78832.0,https://pypi.org/project/altair,2023-10-03 17:40:10.000,608.0,15186007.0,15278813.0,https://anaconda.org/conda-forge/altair,2023-10-03 20:26:07.376,2041723.0,,,,,1.0,88.0,,,,,,,,,,,,,,,,,, +35,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2023-10-12 06:15:25.000000,2023-10-12 05:18:20,13745.0,91.0,2104.0,186.0,4288.0,522.0,2004.0,5617.0,Image processing in Python.,629.0,42,False,2023-10-03 21:36:37.000,0.22.0,23.0,scikit-image,conda-forge/scikit-image,,,,156307.0,156307.0,https://pypi.org/project/scikit-image,,,8766566.0,8907920.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,5654168.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +36,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2023-10-12 14:17:59.000000,2023-10-11 22:36:06,1875.0,216.0,3368.0,301.0,2195.0,804.0,1397.0,28821.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",254.0,41,True,2023-10-09 16:56:27.000,0.11.1,73.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],4509.0,4430.0,https://pypi.org/project/deepspeed,2023-10-09 16:56:27.000,79.0,354825.0,355207.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,17194.0,1.0,,,,,,,,,,,,,,,,,,, +37,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2023-10-12 06:52:21.000000,2023-10-11 21:06:13,5864.0,250.0,2408.0,304.0,3815.0,662.0,2981.0,27840.0,Streamlit A faster way to build and share data apps.,201.0,41,True,2023-10-03 23:30:45.000,1.27.2,208.0,streamlit,,,,,2107.0,1013.0,https://pypi.org/project/streamlit,2023-10-03 23:30:37.000,1094.0,2256437.0,2256437.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +38,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2023-10-12 14:00:14.000000,2023-10-12 11:13:03,5752.0,339.0,1540.0,137.0,2601.0,411.0,2501.0,22564.0,"Wrap UIs around any model, share with anyone.",212.0,41,True,2023-10-06 03:01:48.000,3.47.1,512.0,gradio,,,,,15035.0,14870.0,https://pypi.org/project/gradio,2023-10-06 03:01:48.000,165.0,3080743.0,3080743.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +39,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2023-10-12 07:36:28.000000,2023-10-10 15:17:51,2538.0,111.0,2932.0,260.0,729.0,1399.0,925.0,20240.0,A game theoretic approach to explain the output of any machine learning model.,223.0,41,True,2023-10-09 09:41:17.000,0.43.0,50.0,shap,conda-forge/shap,,,,13656.0,13656.0,https://pypi.org/project/shap,,,7334556.0,7397099.0,https://anaconda.org/conda-forge/shap,2023-10-09 21:10:21.871,2126467.0,,,,,1.0,,,,,,,,shap/shap,,,,,,,,,,, +40,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2023-10-12 13:25:09.000000,2023-10-11 08:40:44,32572.0,244.0,4420.0,349.0,6241.0,122.0,6642.0,17088.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",594.0,41,True,2023-10-10 13:29:19.000,3.6.12,363.0,rasa,,,,['tensorflow'],3764.0,3698.0,https://pypi.org/project/rasa,2023-10-10 13:29:05.000,66.0,119935.0,119935.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +41,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2023-10-01 14:51:01.000000,2023-10-01 14:51:00,4509.0,40.0,4141.0,435.0,1679.0,375.0,1442.0,14685.0,Topic Modelling for Humans.,447.0,41,True,2023-08-24 08:44:46.000,4.3.2,43.0,gensim,conda-forge/gensim,,,,50967.0,50967.0,https://pypi.org/project/gensim,,,3956459.0,3993710.0,https://anaconda.org/conda-forge/gensim,2023-08-24 12:30:21.806,1153351.0,,,,,1.0,4532.0,,,,,,,,,,,,,,,,,, +42,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2023-10-12 09:41:06.000000,2023-10-11 04:45:28,1377.0,292.0,873.0,160.0,1538.0,334.0,504.0,8453.0,Development repository for the Triton language and compiler.,172.0,41,True,2023-09-01 07:26:13.000,2.1.0,191.0,triton,,,,,8617.0,8560.0,https://pypi.org/project/triton,2023-09-01 07:26:13.000,57.0,5234360.0,5234360.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +43,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2023-10-12 13:30:39.000000,2023-10-11 23:33:37,5875.0,381.0,547.0,54.0,3668.0,739.0,2034.0,7318.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,159.0,41,True,2023-10-04 17:31:06.000,0.15.12,264.0,wandb,conda-forge/wandb,,,,31126.0,30531.0,https://pypi.org/project/wandb,2023-10-04 17:29:18.000,595.0,6775285.0,6785207.0,https://anaconda.org/conda-forge/wandb,2023-10-04 19:30:33.577,386995.0,,,,,1.0,,,,,,,,wandb/wandb,,,,,,,,,,, +44,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2023-08-01 15:41:14.000000,2023-01-30 18:15:21,1757.0,,8561.0,1058.0,1448.0,68.0,1715.0,32845.0,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,40,True,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,48875.0,46205.0,https://pypi.org/project/gym,2022-10-04 23:58:42.348,2670.0,390769.0,396756.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,251476.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +45,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2023-10-11 19:07:05.000000,2023-10-05 18:20:57,2028.0,111.0,4211.0,302.0,393.0,70.0,736.0,27112.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT),..",114.0,40,True,2023-09-02 19:49:58.000,0.9.7,49.0,timm,conda-forge/timm,,,['pytorch'],17076.0,17076.0,https://pypi.org/project/timm,,,3429332.0,3536775.0,https://anaconda.org/conda-forge/timm,2023-09-05 19:27:45.010,100505.0,,,,,1.0,5557939.0,,,,,,,huggingface/pytorch-image-models,,,,,,,,,,, +46,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2023-10-12 14:03:54.000000,2023-10-12 07:43:04,2677.0,61.0,8981.0,375.0,3047.0,1011.0,6551.0,25712.0,OpenMMLab Detection Toolbox and Benchmark.,439.0,40,True,2023-10-12 07:46:52.000,3.2.0,52.0,mmdet,,,,['pytorch'],1818.0,1790.0,https://pypi.org/project/mmdet,2023-10-12 07:46:52.000,28.0,153640.0,153640.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +47,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2023-10-12 13:39:56.000000,2023-10-12 11:25:35,18154.0,654.0,2451.0,347.0,17133.0,674.0,8607.0,23412.0,"A cloud-native vector database, storage for next generation AI applications.",255.0,40,True,2023-09-22 13:37:36.000,2.3.1,100.0,pymilvus,,milvusdb/milvus,,,34.0,,https://pypi.org/project/pymilvus,2023-09-22 11:31:52.000,34.0,452020.0,584975.0,,,,https://hub.docker.com/r/milvusdb/milvus,2023-10-12 12:03:15.312824,37.0,6308659.0,1.0,46284.0,,,,,,,,,,,,,,,,,, +48,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2023-10-12 12:27:25.000000,2023-10-11 14:14:05,7058.0,121.0,1936.0,414.0,996.0,764.0,830.0,19459.0,Data Apps & Dashboards for Python. No JavaScript Required.,141.0,40,True,2023-10-11 15:59:34.000,2.14.0,172.0,dash,conda-forge/dash,,,,53948.0,52536.0,https://pypi.org/project/dash,2023-10-11 15:55:16.000,1412.0,2200632.0,2228536.0,https://anaconda.org/conda-forge/dash,2023-10-12 07:33:38.338,1116183.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +49,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2023-10-11 23:36:42.000000,2023-10-11 21:00:41,8467.0,88.0,2123.0,206.0,4114.0,13.0,1892.0,19189.0,Build multimodal AI applications with cloud-native stack.,173.0,40,True,2023-10-06 13:54:08.000,3.22.1,100.0,jina,conda-forge/jina-core,jinaai/jina,,,1168.0,1168.0,https://pypi.org/project/jina,,,79457.0,110290.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,55974.0,https://hub.docker.com/r/jinaai/jina,2023-10-11 21:31:49.938029,8.0,1258200.0,2.0,,,,,,,,,,,,,,,,,,, +50,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2023-10-11 23:39:48.000000,2023-10-11 23:39:48,8231.0,26.0,3243.0,480.0,678.0,47.0,2113.0,12303.0,A toolkit for making real world machine learning and data analysis applications in C++.,191.0,40,False,2023-06-03 20:05:00.841,19.24.2,34.0,dlib,conda-forge/dlib,,,,23246.0,22454.0,https://pypi.org/project/dlib,2022-05-08 14:40:14.000,792.0,124788.0,132375.0,https://anaconda.org/conda-forge/dlib,2023-06-05 15:05:40.278,623412.0,,,,,2.0,25319.0,,,,,,,,,,,,,,,,,, +51,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2023-10-12 00:47:35.000000,2023-10-12 00:47:08,9020.0,145.0,1077.0,135.0,5194.0,568.0,3921.0,12082.0,Data Version Control | Git for Data & Models | ML Experiments Management.,288.0,40,True,2023-10-09 13:40:05.000,3.25.0,477.0,dvc,conda-forge/dvc,,,,9938.0,9856.0,https://pypi.org/project/dvc,2023-10-09 13:42:13.000,82.0,735285.0,781060.0,https://anaconda.org/conda-forge/dvc,2023-09-24 23:15:48.537,1706017.0,,,,,1.0,40629.0,,,,,,,,dvc,dvc,dvc,,,,,,,, +52,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2023-10-12 14:20:03.000000,2023-10-12 14:20:03,9659.0,83.0,1800.0,229.0,3722.0,207.0,2917.0,7812.0,Bayesian Modeling in Python.,467.0,40,True,2023-10-04 10:21:32.000,5.9.0,71.0,pymc3,conda-forge/pymc3,,,,2350.0,2102.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,248.0,459927.0,466369.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,539771.0,,,,,1.0,1923.0,,,,,,,,,,,,,,,,,, +53,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2023-10-12 13:19:01.000000,2023-10-12 12:02:21,5540.0,151.0,702.0,58.0,4749.0,1419.0,2255.0,1493.0,A distributed task scheduler for Dask.,317.0,40,True,2023-09-29 22:05:19.000,2023.9.3,213.0,distributed,conda-forge/distributed,,,,32100.0,30809.0,https://pypi.org/project/distributed,2023-09-29 22:05:19.000,1291.0,4315904.0,4615134.0,https://anaconda.org/conda-forge/distributed,2023-09-29 23:46:21.481,12268437.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +54,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2023-10-12 07:14:57.000000,2023-10-12 02:28:17,6109.0,65.0,6584.0,413.0,2748.0,851.0,7220.0,33671.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",150.0,39,True,2023-09-22 07:27:05.000,2.7.0,7.0,paddleocr,,,,['paddle'],1851.0,1851.0,https://pypi.org/project/paddleocr,,,75926.0,75926.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +55,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2023-10-12 14:07:04.000000,2023-10-12 08:00:59,3485.0,284.0,2884.0,171.0,4031.0,417.0,2064.0,12273.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",278.0,39,True,2023-08-15 07:31:40.000,1.1.2,448.0,dgl,,,,,225.0,149.0,https://pypi.org/project/dgl,2023-08-30 08:45:26.000,76.0,66362.0,66362.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +56,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2023-10-12 06:54:26.000000,2023-10-04 21:03:24,1076.0,83.0,2001.0,227.0,471.0,172.0,1008.0,10383.0,Download market data from Yahoo! Finances API.,93.0,39,True,2023-10-04 21:06:36.000,0.2.31,102.0,yfinance,ranaroussi/yfinance,,,,28397.0,28124.0,https://pypi.org/project/yfinance,2023-10-04 21:06:36.000,273.0,1202893.0,1205893.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,81023.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +57,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2023-10-12 09:12:04.000000,2023-10-12 09:12:04,16614.0,401.0,877.0,124.0,3273.0,128.0,1424.0,8749.0,A hyperparameter optimization framework.,248.0,39,False,2023-08-07 07:14:37.000,3.3.0,60.0,optuna,conda-forge/optuna,,,,10399.0,10007.0,https://pypi.org/project/optuna,2023-08-07 07:14:37.000,392.0,2044497.0,2057917.0,https://anaconda.org/conda-forge/optuna,2023-08-07 10:47:33.490,536828.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +58,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2023-10-12 10:45:04.000000,2023-10-12 10:35:42,46684.0,545.0,1102.0,196.0,369.0,509.0,1625.0,7391.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1177.0,39,True,2023-09-19 20:01:10.000,1.2.2,84.0,catboost,conda-forge/catboost,,,,11.0,11.0,https://pypi.org/project/catboost,,,2032094.0,2074643.0,https://anaconda.org/conda-forge/catboost,2023-09-19 20:23:11.996,1400926.0,,,,,2.0,184204.0,,,,,,,,,,,,,,,,,, +59,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2023-10-12 11:47:23.000000,2023-10-12 11:26:25,3974.0,266.0,1134.0,103.0,3088.0,681.0,1282.0,6952.0,A unified framework for machine learning with time series.,297.0,39,True,2023-09-17 10:49:06.000,0.23.0,54.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],1779.0,1729.0,https://pypi.org/project/sktime,2023-09-17 10:49:06.000,50.0,716884.0,750480.0,https://anaconda.org/conda-forge/sktime-all-extras,2023-09-17 14:15:56.348,907071.0,,,,,1.0,84.0,,,,,,,sktime/sktime,,,,,,,,,,, +60,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2023-10-11 13:51:09.571000,2023-10-11 06:42:09,1814.0,41.0,872.0,106.0,1456.0,430.0,1144.0,3869.0,Python tools for geographic data.,211.0,39,True,2023-09-15 08:26:19.000,0.14.0,49.0,geopandas,conda-forge/geopandas,,,['pandas'],28254.0,26571.0,https://pypi.org/project/geopandas,2023-09-15 08:26:16.000,1683.0,6029689.0,6110039.0,https://anaconda.org/conda-forge/geopandas,2023-10-11 13:51:09.571,3213010.0,,,,,1.0,2188.0,,,,,,,,,,,,,,,,,, +61,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 03:31:13.000,2023-10-12 07:48:04.000000,2023-10-11 20:18:40,17662.0,191.0,1217.0,85.0,7506.0,531.0,4167.0,2359.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,355.0,39,True,2023-09-06 17:49:45.000,1.5.1,75.0,mne,conda-forge/mne,,,,3323.0,3048.0,https://pypi.org/project/mne,2023-09-06 17:48:48.000,275.0,107508.0,115591.0,https://anaconda.org/conda-forge/mne,2023-09-06 18:39:29.631,331428.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +62,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2023-10-12 11:29:03.000000,2023-10-05 06:42:30,897.0,45.0,3089.0,467.0,806.0,354.0,1841.0,24812.0,A library for efficient similarity search and clustering of dense vectors.,140.0,38,True,2023-09-22 11:31:52.000,2.3.1,85.0,pymilvus,conda-forge/faiss,,,,3217.0,3183.0,https://pypi.org/project/pymilvus,2023-09-22 11:31:52.000,34.0,452020.0,474743.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,931644.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +63,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2023-10-08 16:22:48.000000,2023-09-18 20:50:48,2703.0,34.0,7243.0,613.0,2197.0,173.0,1579.0,24597.0,The fastai deep learning library.,242.0,38,True,2023-03-28 20:28:42.000,2.7.12,49.0,fastai,,,,['pytorch'],14904.0,14904.0,https://pypi.org/project/fastai,,,292353.0,292353.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +64,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-11 20:37:58.000000,2023-01-26 21:28:45,11896.0,,6529.0,1077.0,11123.0,1803.0,7763.0,20582.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",983.0,38,True,2022-05-10 20:10:05.000,1.9.1,34.0,mxnet,mxnet,,,['mxnet'],6784.0,6784.0,https://pypi.org/project/mxnet,,,342666.0,343109.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10269.0,,,,,2.0,26466.0,,,,,,,apache/mxnet,,,,,,,,,,, +65,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2023-10-12 14:19:33.000000,2023-10-12 09:23:19,7019.0,194.0,3349.0,256.0,2419.0,832.0,2451.0,18628.0,Graph Neural Network Library for PyTorch.,450.0,38,True,2023-10-12 08:28:59.000,2.4.0,40.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],111.0,,https://pypi.org/project/torch-geometric,2023-10-12 08:27:10.000,111.0,202342.0,203152.0,https://anaconda.org/conda-forge/pytorch_geometric,2023-06-16 19:20:42.736,31593.0,,,,,1.0,,,,,,,,,,,,5.0,,,,,,, +66,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2023-10-12 11:34:37.000000,2023-10-11 10:48:45,3713.0,155.0,6611.0,394.0,5038.0,736.0,2249.0,14645.0,"Datasets, Transforms and Models specific to Computer Vision.",556.0,38,True,2023-10-04 17:32:50.000,0.16.0,35.0,torchvision,conda-forge/torchvision,,,['pytorch'],18.0,18.0,https://pypi.org/project/torchvision,,,8054120.0,8083017.0,https://anaconda.org/conda-forge/torchvision,2023-10-02 13:13:36.301,883288.0,,,,,1.0,31538.0,,,,,,,,,,,-4.0,,,,,,, +67,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2023-10-12 14:14:06.000000,2023-10-11 05:53:10,2576.0,93.0,869.0,124.0,1667.0,252.0,591.0,8678.0,Computer Vision and Robotics Library for AI.,234.0,38,True,2023-08-02 10:18:58.000,0.7.0,37.0,kornia,conda-forge/kornia,,,['pytorch'],6701.0,6595.0,https://pypi.org/project/kornia,2023-08-02 10:18:58.000,106.0,2076872.0,2079918.0,https://anaconda.org/conda-forge/kornia,2023-08-04 20:43:55.693,103092.0,,,,,1.0,840.0,,,,,,,,,,,,,,,,,, +68,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2023-10-10 19:31:44.000000,2023-10-10 19:31:44,1737.0,59.0,633.0,119.0,527.0,263.0,576.0,7660.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,79.0,38,True,2023-10-06 11:27:37.000,0.14.1,83.0,tokenizers,conda-forge/tokenizers,,,,44788.0,44468.0,https://pypi.org/project/tokenizers,2023-10-06 11:27:37.000,320.0,13840062.0,13873450.0,https://anaconda.org/conda-forge/tokenizers,2023-10-10 03:59:55.786,1302165.0,,,,,1.0,33.0,,,,,,,,,,,,,,,,,, +69,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2023-10-12 14:49:54.000000,2023-10-11 22:52:37,9529.0,721.0,1123.0,123.0,1003.0,168.0,858.0,6666.0,A PyTorch-based Speech Toolkit.,223.0,38,True,2023-07-22 18:07:47.000,0.5.15,14.0,speechbrain,,,,['pytorch'],1004.0,990.0,https://pypi.org/project/speechbrain,2023-07-22 18:08:45.000,14.0,183444.0,183444.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +70,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2023-10-12 14:21:36.000000,2023-10-04 17:26:23,1744.0,22.0,2195.0,170.0,777.0,60.0,971.0,6420.0,Python Data. Leaflet.js Maps.,154.0,38,True,2022-12-12 20:39:34.303,0.14.0,28.0,folium,conda-forge/folium,,,,30317.0,29532.0,https://pypi.org/project/folium,2022-12-12 20:39:34.303,785.0,668850.0,694948.0,https://anaconda.org/conda-forge/folium,2023-06-16 13:15:52.865,2374995.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +71,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2023-10-12 14:52:41.000000,2023-10-12 11:40:11,1109.0,123.0,613.0,91.0,1030.0,111.0,902.0,5831.0,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",182.0,38,True,2023-09-14 19:23:12.000,0.23.0,35.0,accelerate,conda-forge/accelerate,,,['pytorch'],15787.0,15459.0,https://pypi.org/project/accelerate,2023-09-14 18:56:27.000,328.0,7152873.0,7155933.0,https://anaconda.org/conda-forge/accelerate,2023-09-15 15:58:36.098,73449.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +72,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2023-10-12 10:27:29.000000,2023-10-12 10:27:21,6032.0,83.0,1459.0,112.0,3999.0,643.0,692.0,4022.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",295.0,38,True,2023-09-08 09:07:53.000,4.9.3,36.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],14836.0,14626.0,https://pypi.org/project/tensorflow-datasets,2023-09-08 09:07:47.000,210.0,1892805.0,1893625.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,23798.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +73,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 01:03:33.000,2023-10-12 12:41:13.000000,2023-10-11 22:31:44,3303.0,129.0,1042.0,135.0,2678.0,489.0,896.0,1935.0,A library for training and deploying machine learning models on Amazon SageMaker.,402.0,38,True,2023-10-11 21:31:01.000,2.192.0,545.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",3174.0,3090.0,https://pypi.org/project/sagemaker,2023-10-11 21:31:01.000,84.0,28850332.0,28868310.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2023-10-11 22:59:39.437,683176.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +74,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2023-10-09 12:27:51.214000,2023-10-02 02:15:11,1507.0,17.0,266.0,32.0,469.0,87.0,481.0,1320.0,Python library for reading and writing image data.,108.0,38,True,2023-10-02 02:15:24.000,2.31.5,60.0,imageio,conda-forge/imageio,,,,103458.0,103458.0,https://pypi.org/project/imageio,,,17270521.0,17417169.0,https://anaconda.org/conda-forge/imageio,2023-10-09 12:27:51.214,5718755.0,,,,,1.0,858.0,,,,,,,,,,,,,,,,,, +75,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2023-10-11 10:23:57.000000,2023-10-10 17:36:53,2318.0,6.0,6053.0,414.0,1308.0,1100.0,3024.0,27669.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,420.0,37,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],2196.0,2132.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,64.0,550430.0,551708.0,https://anaconda.org/conda-forge/fairseq,2023-06-16 19:21:01.221,49694.0,,,,,1.0,319.0,,,,,,,,,,,,,,,,,, +76,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2023-10-12 13:51:32.000000,2023-10-12 12:33:25,34100.0,405.0,12265.0,946.0,23503.0,1030.0,,22059.0,Apache Flink Python API.,1778.0,37,True,2023-05-25 09:34:01.691,1.17.1,42.0,apache-flink,,,,,40.0,18.0,https://pypi.org/project/apache-flink,2022-09-27 20:53:12.584,22.0,160092.0,160092.0,,,,,,,,2.0,,,,,,,,,,,,3.0,,,,,,, +77,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2023-10-12 14:20:50.000000,2023-10-12 11:47:54,16733.0,1815.0,6000.0,70.0,10869.0,3548.0,12970.0,13699.0,The Unified AI Framework.,1411.0,37,True,2023-06-29 19:33:01.167,0.0.0,103.0,ivy,,,,,9.0,,https://pypi.org/project/ivy,2023-10-11 17:04:40.000,9.0,1342.0,1342.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +78,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2023-10-12 00:14:33.000000,2023-10-10 10:25:21,1351.0,42.0,1521.0,150.0,724.0,181.0,545.0,11236.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,115.0,37,True,2023-10-10 11:09:25.000,4.6.0,51.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",1519.0,1519.0,https://pypi.org/project/pandas-profiling,,,703247.0,707924.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,402289.0,,,,,2.0,,,,,,,,ydataai/ydata-profiling,,,,,,,,,,, +79,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2023-10-12 14:18:38.000000,2023-10-12 11:52:01,2660.0,269.0,1424.0,114.0,2811.0,460.0,2157.0,11132.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",202.0,37,True,2023-10-06 08:02:46.000,1.21.2,66.0,haystack,,,,,1040.0,953.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000,87.0,2165.0,2165.0,,,,,,,,1.0,23.0,,,,,,,,,,,,,,,,,, +80,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2023-10-07 03:22:11.000000,2023-07-11 16:23:35,1095.0,,1368.0,252.0,650.0,348.0,1016.0,10989.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,14.0,moviepy,conda-forge/moviepy,,,,29456.0,29456.0,https://pypi.org/project/moviepy,,,694340.0,697125.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,208879.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +81,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2023-10-09 19:51:55.000000,2023-10-09 19:51:54,4971.0,93.0,1650.0,127.0,949.0,292.0,1875.0,7791.0,"An open-source, low-code machine learning library in Python.",126.0,37,True,2023-09-11 02:32:00.000,3.1.0,94.0,pycaret,conda-forge/pycaret,,,,4517.0,4503.0,https://pypi.org/project/pycaret,2023-09-11 02:31:52.000,14.0,225790.0,226834.0,https://anaconda.org/conda-forge/pycaret,2023-08-08 20:36:32.365,39037.0,,,,,2.0,666.0,,,,,,,,,,,,,,,,,, +82,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2023-10-12 03:38:57.000000,2023-10-11 12:51:01,19595.0,784.0,1978.0,179.0,3110.0,214.0,2026.0,7094.0,End-to-End Speech Processing Toolkit.,380.0,37,True,2023-08-03 13:36:23.000,.202308,50.0,espnet,,,,,248.0,243.0,https://pypi.org/project/espnet,2023-08-03 13:37:00.000,5.0,27631.0,27632.0,,,,,,,,1.0,79.0,,,,,,,,,,,,,,,,,, +83,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2023-10-12 00:30:19.000000,2023-10-11 22:51:35,3867.0,186.0,536.0,81.0,1990.0,174.0,649.0,4775.0,Flax is a neural network library for JAX that is designed for flexibility.,205.0,37,True,2023-09-13 18:38:38.000,0.7.4,39.0,flax,conda-forge/flax,,,['jax'],4714.0,4544.0,https://pypi.org/project/flax,2023-09-13 18:38:38.000,170.0,2187412.0,2188547.0,https://anaconda.org/conda-forge/flax,2023-06-16 19:25:28.189,35159.0,,,,,2.0,49.0,,,,,,,,,,,,,,,,,, +84,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2023-10-11 19:47:21.000000,2023-10-11 19:47:18,11975.0,52.0,1079.0,170.0,454.0,647.0,730.0,3987.0,Probabilistic reasoning and statistical analysis in TensorFlow.,482.0,37,True,2023-10-02 16:08:04.000,0.22.0,49.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],429.0,,https://pypi.org/project/tensorflow-probability,2023-10-02 16:08:04.000,429.0,1273477.0,1277055.0,https://anaconda.org/conda-forge/tensorflow-probability,2023-07-23 10:45:53.935,114522.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +85,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2023-10-11 14:55:29.000000,2023-10-08 17:44:53,2218.0,19.0,539.0,90.0,757.0,226.0,885.0,3447.0,Manipulation and analysis of geometric objects.,149.0,37,True,2023-02-02 20:56:27.127,1.8.5,120.0,shapely,conda-forge/shapely,,,,54515.0,53621.0,https://pypi.org/project/shapely,2023-02-02 20:56:31.341,894.0,14844688.0,15067479.0,https://anaconda.org/conda-forge/shapely,2023-09-25 04:37:12.560,8461900.0,,,,,2.0,2648.0,,,,,,,,,,,,,,,,,, +86,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2023-06-16 13:21:35.778000,2020-02-15 08:33:35,523.0,,6699.0,1287.0,164.0,662.0,219.0,31333.0,Chinese Words Segmentation Utilities.,49.0,36,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,26065.0,24407.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,1658.0,616387.0,618257.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,145895.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +87,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2023-10-09 22:45:14.000000,2023-09-04 11:42:16,615.0,11.0,2736.0,298.0,235.0,291.0,581.0,19724.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,36,True,2023-09-04 11:55:27.000,1.7.1,32.0,easyocr,,,,,3975.0,3906.0,https://pypi.org/project/easyocr,2023-09-04 11:55:27.000,69.0,175137.0,342169.0,,,,,,,,1.0,6681283.0,,,,,,,,,,,,,,,,,, +88,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2023-09-28 07:15:20.000000,2023-08-21 03:59:26,1627.0,8.0,2814.0,381.0,455.0,4.0,1782.0,13928.0,Python Echarts Plotting Library.,39.0,36,True,2023-08-21 08:24:32.000,2.0.4,72.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],3753.0,3507.0,https://pypi.org/project/pyecharts,2023-08-21 03:40:32.000,246.0,112885.0,112885.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +89,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2023-10-05 21:39:53.000000,2023-09-18 08:44:36,1331.0,6.0,2218.0,333.0,1569.0,361.0,1846.0,13590.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,36,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1048.0,1014.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,34.0,52939.0,52939.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,, +90,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,,2018-06-11 11:04:18.000,2023-10-12 12:47:07.000000,2023-10-12 11:24:03,5697.0,147.0,1700.0,204.0,1146.0,44.0,2145.0,13137.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,249.0,36,False,2023-03-30 15:49:56.000,0.12.2,23.0,flair,conda-forge/python-flair,,,['pytorch'],2758.0,2758.0,https://pypi.org/project/flair,,,79158.0,79698.0,https://anaconda.org/conda-forge/python-flair,2023-07-23 11:04:16.024,21074.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +91,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2023-09-26 22:11:05.000000,2023-09-20 06:17:29,1209.0,9.0,2114.0,124.0,260.0,1029.0,796.0,12084.0,Multilingual Sentence & Image Embeddings with BERT.,115.0,36,True,2022-06-26 19:52:06.000,2.2.2,43.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],17165.0,16742.0,https://pypi.org/project/sentence-transformers,2022-06-26 19:50:11.000,423.0,3017508.0,3022017.0,https://anaconda.org/conda-forge/sentence-transformers,2023-06-16 19:21:44.846,166835.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +92,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2023-10-07 18:22:39.000000,2023-10-07 04:00:46,2417.0,19.0,971.0,204.0,2241.0,241.0,822.0,8158.0,Deep universal probabilistic programming with Python and PyTorch.,144.0,36,True,2023-07-29 21:20:27.000,1.8.6,34.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],1725.0,1633.0,https://pypi.org/project/pyro-ppl,2023-07-29 21:09:56.000,92.0,575348.0,579041.0,https://anaconda.org/conda-forge/pyro-ppl,2023-07-29 23:12:47.995,114503.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +93,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2023-10-12 14:09:38.000000,2023-10-11 23:23:41,5880.0,252.0,1749.0,169.0,5360.0,38.0,1747.0,8144.0,NeMo: a toolkit for conversational AI.,254.0,36,True,2023-08-04 19:50:15.000,1.20.0,44.0,nemo-toolkit,,,,['pytorch'],18.0,18.0,https://pypi.org/project/nemo-toolkit,,,43080.0,44730.0,,,,,,,,1.0,80856.0,,,,,,,,,,,,,,,,,, +94,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 05:08:26.000,2023-09-27 19:21:23.000000,2023-09-07 14:08:45,846.0,3.0,1247.0,141.0,486.0,35.0,533.0,6518.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,80.0,36,True,2023-07-08 22:17:53.000,0.11.0,33.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],21029.0,20697.0,https://pypi.org/project/imbalanced-learn,2023-07-08 21:51:38.887,332.0,5030232.0,5042354.0,https://anaconda.org/conda-forge/imbalanced-learn,2023-07-08 22:18:55.284,484886.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +95,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2023-10-08 00:33:05.000000,2023-08-02 10:57:30,1413.0,16.0,872.0,214.0,220.0,174.0,232.0,6486.0,Efficiently computes derivatives of numpy code.,55.0,36,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,6611.0,6292.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,319.0,1211322.0,1233640.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,357096.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +96,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2023-10-12 07:49:08.000000,2023-09-26 14:07:56,1744.0,45.0,717.0,126.0,264.0,410.0,328.0,6484.0,Uniform Manifold Approximation and Projection.,124.0,36,True,2023-09-15 15:26:00.000,0.5.4,27.0,umap-learn,conda-forge/umap-learn,,,,10696.0,10696.0,https://pypi.org/project/umap-learn,,,967052.0,1021943.0,https://anaconda.org/conda-forge/umap-learn,2023-09-16 02:25:50.473,2195658.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +97,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2023-10-12 12:27:56.000000,2023-10-12 10:51:53,2878.0,132.0,878.0,94.0,3107.0,320.0,2424.0,4728.0,AI Toolkit for Healthcare Imaging.,172.0,36,True,2023-06-08 17:16:23.000,1.2.0,76.0,monai,conda-forge/monai,,,['pytorch'],1423.0,1379.0,https://pypi.org/project/monai,2023-10-11 14:49:08.000,44.0,86926.0,87756.0,https://anaconda.org/conda-forge/monai,2023-06-08 17:03:07.715,18273.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +98,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2023-10-12 14:08:29.000000,2023-10-11 16:27:41,9455.0,348.0,1502.0,147.0,1976.0,466.0,1207.0,4642.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",226.0,36,True,2022-12-01 14:00:47.111,2.7.1,704.0,deepchem,conda-forge/deepchem,,,['tensorflow'],278.0,267.0,https://pypi.org/project/deepchem,2023-10-11 18:25:08.000,11.0,15073.0,17421.0,https://anaconda.org/conda-forge/deepchem,2023-06-16 19:18:02.015,103341.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +99,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2023-08-27 20:08:56.023000,2023-08-27 17:01:46,1130.0,22.0,627.0,90.0,265.0,31.0,251.0,4084.0,Geocoding library for Python.,133.0,36,True,2023-08-27 18:59:34.000,2.4.0,60.0,geopy,conda-forge/geopy,,,,4023.0,,https://pypi.org/project/geopy,2023-08-27 18:57:29.000,4023.0,4068234.0,4097934.0,https://anaconda.org/conda-forge/geopy,2023-08-27 20:08:56.023,1188024.0,,,,,2.0,2.0,,,,,,,,,,,,,,,,,, +100,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2023-10-11 10:15:25.000000,2023-10-10 18:43:52,8348.0,82.0,666.0,97.0,13024.0,39.0,788.0,3459.0,State of the Art Natural Language Processing.,108.0,36,True,2023-10-10 20:26:17.000,5.1.3,132.0,spark-nlp,,,,['spark'],373.0,344.0,https://pypi.org/project/spark-nlp,2023-10-10 16:20:01.000,29.0,3847398.0,3847398.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +101,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2023-09-25 06:51:17.362000,2023-09-22 08:02:58,5262.0,23.0,281.0,83.0,764.0,19.0,123.0,2759.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",62.0,36,True,2023-09-22 09:35:25.000,8.2.1,229.0,thinc,conda-forge/thinc,,,,38359.0,37723.0,https://pypi.org/project/thinc,2023-09-22 09:19:43.000,636.0,5695907.0,5760044.0,https://anaconda.org/conda-forge/thinc,2023-09-25 06:51:17.362,2629641.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +102,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2023-09-25 19:05:33.000000,2023-09-21 02:33:47,1524.0,21.0,206.0,31.0,665.0,25.0,559.0,925.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,64.0,36,True,2023-09-21 02:07:12.000,3.6.1,61.0,pyproj,conda-forge/pyproj,,,,25839.0,23873.0,https://pypi.org/project/pyproj,2023-09-21 02:07:12.000,1966.0,7820475.0,7994091.0,https://anaconda.org/conda-forge/pyproj,2023-09-25 07:36:02.608,6771062.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +103,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2023-10-10 23:23:38.880000,2023-10-10 12:53:55,784.0,9.0,4436.0,427.0,432.0,379.0,1717.0,17016.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,173.0,35,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,,145.0,18.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,127.0,907669.0,944369.0,https://anaconda.org/conda-forge/prophet,2023-10-10 23:23:38.880,1100236.0,,,,,1.0,2062.0,,,,,,,,,,,,,,,,,, +104,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2023-10-06 03:06:58.000000,2021-06-01 10:43:00,1848.0,,4325.0,549.0,710.0,372.0,1266.0,13606.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,35,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,5712.0,5359.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,353.0,32073.0,32073.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +105,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2023-09-30 06:07:49.000000,2023-09-30 06:07:49,781.0,2.0,1513.0,127.0,657.0,366.0,428.0,12641.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,129.0,35,True,2023-06-10 07:44:08.000,1.3.1,18.0,albumentations,conda-forge/albumentations,,,['pytorch'],17993.0,17993.0,https://pypi.org/project/albumentations,,,990697.0,993350.0,https://anaconda.org/conda-forge/albumentations,2023-06-12 13:29:26.010,137956.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +106,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2023-09-25 04:57:08.085000,2023-08-20 17:38:53,890.0,5.0,1110.0,319.0,266.0,54.0,341.0,11994.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,35,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,3473.0,3206.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,267.0,968347.0,978204.0,https://anaconda.org/conda-forge/python-annoy,2023-09-25 04:57:08.085,364738.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +107,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2023-10-08 08:23:47.000000,2023-06-01 18:12:56,4638.0,,4515.0,392.0,649.0,601.0,1237.0,11237.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",188.0,35,False,2023-06-30 18:36:01.101,2.6.2,54.0,glfw,conda-forge/glfw,,,,206.0,19.0,https://pypi.org/project/glfw,2023-06-30 18:36:01.101,187.0,190488.0,226536.0,https://anaconda.org/conda-forge/glfw,2023-06-16 16:13:39.833,159082.0,,,,,2.0,3420468.0,,,,,,,,,,,3.0,,,,,,, +108,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-10-12 04:18:23.000000,2023-10-12 04:18:22,4356.0,13.0,2001.0,288.0,3400.0,48.0,1493.0,10303.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,215.0,35,True,2023-06-06 20:16:41.000,1.7.2,23.0,parlai,,,,['pytorch'],214.0,214.0,https://pypi.org/project/parlai,,,1551.0,1551.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +109,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2023-10-12 13:53:03.000000,2023-10-12 13:26:08,24540.0,1299.0,1936.0,202.0,4710.0,167.0,3303.0,8955.0,Perform data science on data that remains in someone elses server.,502.0,35,True,2023-08-30 03:17:27.000,syftcli-v0.1.7,194.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,2023-10-09 14:14:08.000,5.0,4453.0,4457.0,,,,,,,,1.0,212.0,,,,,,,,,,,,,,,,,, +110,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2023-06-16 13:22:54.304000,2023-03-11 18:17:15,563.0,,1123.0,268.0,156.0,113.0,155.0,8708.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",36.0,35,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,34506.0,33080.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,1426.0,600933.0,603678.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,236124.0,,,,,2.0,113.0,,,,,,,,,,,,,,,,,, +111,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2023-10-08 16:10:10.000000,2023-10-08 16:09:45,2463.0,71.0,592.0,103.0,431.0,544.0,1155.0,8347.0,An open source multi-tool for exploring and publishing data.,74.0,35,True,2023-10-08 16:10:00.000,0.64.5,140.0,datasette,conda-forge/datasette,,,,1286.0,1083.0,https://pypi.org/project/datasette,2023-10-08 16:10:00.000,203.0,32873.0,33743.0,https://anaconda.org/conda-forge/datasette,2023-09-27 17:06:18.945,26078.0,,,,,1.0,58.0,,,,,,,,datasette,,,,,,,,,, +112,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2023-10-08 19:16:11.059000,2023-08-05 09:01:02,884.0,1.0,1037.0,125.0,256.0,29.0,631.0,8314.0,Unsupervised text tokenizer for Neural Network-based text generation.,78.0,35,True,2023-05-02 04:26:07.683,0.1.99,34.0,sentencepiece,conda-forge/sentencepiece,,,,43958.0,43151.0,https://pypi.org/project/sentencepiece,2023-05-02 04:26:07.683,807.0,10204033.0,10220762.0,https://anaconda.org/conda-forge/sentencepiece,2023-10-08 19:16:11.059,633050.0,,,,,2.0,30859.0,,,,,,,,,,,,,,,,,, +113,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 19:36:58.000,2023-10-09 19:21:25.000000,2023-10-09 18:02:24,10393.0,9.0,1963.0,349.0,3391.0,130.0,1128.0,8295.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,332.0,35,True,2023-07-19 17:15:55.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,33.0,,https://pypi.org/project/vowpalwabbit,2023-07-19 17:15:55.000,33.0,93758.0,97437.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-10-08 10:19:04.401,132479.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +114,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2023-10-11 23:12:45.000000,2023-10-11 23:12:41,657.0,30.0,308.0,67.0,102.0,27.0,124.0,7289.0,"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).",24.0,35,True,2023-10-01 01:13:00.000,0.7.0,13.0,einops,conda-forge/einops,,,,18345.0,18345.0,https://pypi.org/project/einops,,,4255011.0,4259216.0,https://anaconda.org/conda-forge/einops,2023-10-01 10:01:09.036,151380.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +115,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2023-10-12 14:06:58.000000,2023-10-11 16:01:02,32178.0,157.0,1991.0,388.0,6646.0,2708.0,6454.0,6502.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",246.0,35,True,,,147.0,h2o,,,,,99.0,18.0,https://pypi.org/project/h2o,2023-10-03 17:29:50.000,81.0,376166.0,376166.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +116,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2023-10-12 09:33:24.000000,2023-10-12 09:33:23,2661.0,118.0,637.0,71.0,3080.0,175.0,766.0,5752.0,Build Production-Grade AI Applications.,179.0,35,True,2023-09-08 05:23:14.000,1.1.6,115.0,bentoml,,,,,1320.0,1309.0,https://pypi.org/project/bentoml,2023-09-08 05:18:43.000,11.0,69853.0,69892.0,,,,,,,,2.0,2110.0,,,,,,,,,,,,,,,,,, +117,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2023-09-25 01:16:08.711000,2023-07-28 00:16:45,2332.0,74.0,1068.0,192.0,229.0,271.0,275.0,5301.0,Distributed Evolutionary Algorithms in Python.,87.0,35,False,2023-07-21 10:51:54.000,1.4.1,23.0,deap,conda-forge/deap,,,,4355.0,3990.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,365.0,200469.0,209761.0,https://anaconda.org/conda-forge/deap,2023-09-25 01:16:08.711,334537.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +118,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2023-10-12 13:52:53.000000,2023-10-12 09:14:37,20558.0,433.0,1123.0,238.0,7258.0,799.0,1266.0,4428.0,Accelerate LLM with low-bit (INT3 / INT4 / NF4 / INT5 / INT8) optimizations using bigdl-llm.,182.0,35,True,2023-04-24 02:17:43.000,2.3.0,685.0,bigdl,,,,,50.0,45.0,https://pypi.org/project/bigdl,2023-10-12 13:52:53.000,1.0,6170.0,6170.0,,,,,,,,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 01:33:14,4.0,,, +119,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2023-10-12 12:13:31.000000,2023-10-12 11:55:52,1635.0,40.0,601.0,60.0,1776.0,159.0,1161.0,4347.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,292.0,35,True,2023-05-01 08:27:00.908,0.4.12,1409.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],2468.0,2425.0,https://pypi.org/project/pytorch-ignite,2023-10-12 00:13:48.000,43.0,156599.0,159124.0,https://anaconda.org/pytorch/ignite,2023-06-16 16:08:55.791,161645.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +120,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2023-10-11 15:25:56.000000,2023-10-10 15:49:04,1284.0,12.0,2431.0,1990.0,527.0,374.0,1073.0,3795.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,35,True,2023-08-23 02:38:47.000,1.53.0,100.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2023-08-23 02:38:47.000,48.0,1509814.0,1509822.0,,,,,,,,2.0,503.0,,,,,,,,,,,,,,,,,, +121,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2023-10-12 02:02:49.000000,2023-10-12 01:22:50,3556.0,111.0,764.0,57.0,1290.0,304.0,1107.0,3704.0,"Serve, optimize and scale PyTorch models in production.",175.0,35,True,2023-08-28 23:20:20.000,0.8.2,21.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],529.0,518.0,https://pypi.org/project/torchserve,2023-08-28 19:29:41.000,11.0,36984.0,64945.0,https://anaconda.org/pytorch/torchserve,2023-08-28 20:19:36.066,119071.0,https://hub.docker.com/r/pytorch/torchserve,2023-08-28 21:29:54.059478,21.0,1200382.0,2.0,5015.0,,,,,,,,,,,,,,,,,, +122,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2023-09-06 07:55:12.000000,2023-08-08 07:57:53,1994.0,27.0,203.0,68.0,128.0,78.0,507.0,3586.0,A Grammar of Graphics for Python.,103.0,35,True,2023-09-01 18:57:17.000,0.12.3,19.0,plotnine,conda-forge/plotnine,,,,6178.0,5925.0,https://pypi.org/project/plotnine,2023-09-01 18:37:41.000,253.0,1161697.0,1169549.0,https://anaconda.org/conda-forge/plotnine,2023-09-01 19:46:10.034,314102.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +123,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2023-10-09 14:36:54.000000,2023-10-09 14:36:52,7293.0,37.0,606.0,117.0,1138.0,301.0,1097.0,3124.0,High-performance interactive 2D/3D data visualization library.,188.0,35,True,2023-10-03 22:23:12.000,0.14.1,35.0,vispy,conda-forge/vispy,,,['jupyter'],1276.0,1275.0,https://pypi.org/project/vispy,,,81460.0,93168.0,https://anaconda.org/conda-forge/vispy,2023-10-04 03:59:45.400,432601.0,,,,,2.0,,,vispy,https://www.npmjs.com/package/vispy,17.0,2020-03-15 14:39:41.516,1.0,,,,,,,,,,,, +124,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2023-10-12 11:34:25.000000,2023-10-12 01:34:37,2261.0,109.0,599.0,76.0,2791.0,193.0,692.0,2223.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",220.0,35,True,2023-10-04 17:30:04.000,2.1.0,28.0,torchaudio,,,,['pytorch'],437.0,,https://pypi.org/project/torchaudio,2023-10-04 17:03:43.000,437.0,1542500.0,1542500.0,,,,,,,,1.0,,,,,,,,,,,,4.0,,,,,,, +125,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2023-10-12 01:48:59.000000,2023-09-01 17:50:42,3773.0,9.0,518.0,147.0,1099.0,162.0,1578.0,2031.0,Rasterio reads and writes geospatial raster datasets.,149.0,35,True,2023-10-10 16:04:06.000,1.3.8.post1,152.0,rasterio,conda-forge/rasterio,,,,10009.0,9008.0,https://pypi.org/project/rasterio,2023-10-12 01:48:59.000,1001.0,1937764.0,2017542.0,https://anaconda.org/conda-forge/rasterio,2023-10-11 19:31:44.951,2632422.0,,,,,2.0,853.0,,,,,,,,,,,,,,,,,, +126,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2023-10-12 13:43:57.000000,2023-10-12 13:43:51,4832.0,64.0,463.0,21.0,1075.0,852.0,567.0,1951.0,"This is the development home of the workflow management system Snakemake. For general information, see.",308.0,35,True,2023-09-18 14:47:18.000,7.32.4,284.0,snakemake,bioconda/snakemake,,,,1928.0,1678.0,https://pypi.org/project/snakemake,2023-09-18 14:47:18.000,250.0,99763.0,108947.0,https://anaconda.org/bioconda/snakemake,2023-09-19 07:41:36.083,881718.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +127,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2023-10-12 12:52:21.000000,2023-10-11 09:30:31,1526.0,163.0,326.0,28.0,1259.0,48.0,658.0,1671.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",213.0,35,True,2023-09-22 13:17:42.000,1.2.0,39.0,metrics,conda-forge/torchmetrics,,,['pytorch'],15828.0,15815.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,13.0,7184.0,42985.0,https://anaconda.org/conda-forge/torchmetrics,2023-09-25 21:19:09.764,1105849.0,,,,,2.0,4000.0,,,,,,,Lightning-AI/torchmetrics,,,,,,,,,,, +128,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2023-10-12 12:40:31.000000,2023-07-22 10:06:51,1199.0,15.0,198.0,33.0,42.0,9.0,154.0,1470.0,Simple Python interface for Graphviz.,19.0,35,True,2022-07-23 11:35:06.076,0.20.1,56.0,graphviz,anaconda/python-graphviz,,,,57609.0,54240.0,https://pypi.org/project/graphviz,2022-07-23 11:35:06.076,3369.0,7998170.0,7998693.0,https://anaconda.org/anaconda/python-graphviz,2023-06-16 13:23:51.228,40871.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +129,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2023-10-12 14:38:03.000000,2023-10-12 12:06:05,1118.0,104.0,290.0,57.0,1036.0,102.0,486.0,1237.0,All the open source things related to the Hugging Face Hub.,111.0,35,True,2023-10-10 11:51:37.000,0.18.0,83.0,huggingface_hub,conda-forge/huggingface_hub,,,,468.0,,https://pypi.org/project/huggingface_hub,2023-10-10 11:51:37.000,468.0,18889922.0,18933605.0,https://anaconda.org/conda-forge/huggingface_hub,2023-10-11 00:38:53.499,1397869.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +130,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2023-10-12 02:58:31.000000,2023-10-11 10:52:52,859.0,23.0,296.0,44.0,994.0,65.0,161.0,1149.0,Making text a first-class citizen in TensorFlow.,111.0,35,True,2023-10-06 19:23:09.000,2.14.0,51.0,tensorflow-text,,,,['tensorflow'],5902.0,5902.0,https://pypi.org/project/tensorflow-text,,,3397366.0,3397366.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +131,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2023-10-11 05:04:40.022000,2023-10-10 17:06:51,1518.0,23.0,150.0,42.0,131.0,10.0,636.0,1144.0,A Python data analysis library that is optimized for humans instead of machines.,52.0,35,True,2023-10-10 16:54:09.000,1.8.0,30.0,agate,conda-forge/agate,,,,2350.0,2204.0,https://pypi.org/project/agate,2023-10-10 16:54:09.000,146.0,3834818.0,3839943.0,https://anaconda.org/conda-forge/agate,2023-10-11 05:04:40.022,148636.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +132,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2023-10-12 12:49:04.000000,2023-10-12 07:35:12,10070.0,136.0,526.0,71.0,2171.0,296.0,1615.0,1046.0,Machine learning for NeuroImaging in Python.,226.0,35,True,2023-10-01 19:30:40.000,0.10.2,45.0,nilearn,conda-forge/nilearn,,,['sklearn'],2888.0,2609.0,https://pypi.org/project/nilearn,2023-09-29 11:10:28.000,279.0,43786.0,50894.0,https://anaconda.org/conda-forge/nilearn,2023-10-02 11:59:55.930,248664.0,,,,,2.0,137.0,,,,,,,,,,,,,,,,,, +133,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2023-10-12 13:53:19.000000,2023-10-12 06:04:24,2833.0,291.0,3893.0,363.0,3296.0,313.0,1102.0,34890.0,"Making large AI models cheaper, faster and more accessible.",156.0,34,True,2023-09-22 10:30:08.000,0.3.3,33.0,,,,,,263.0,263.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +134,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2023-10-11 09:03:13.000000,2023-10-04 15:17:29,1490.0,10.0,6709.0,379.0,640.0,363.0,3012.0,26820.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",259.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1407.0,1401.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,6.0,,5299.0,https://anaconda.org/conda-forge/detectron2,2023-06-23 08:23:13.856,206672.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +135,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2023-10-04 07:01:36.000000,2023-10-04 06:55:43,386.0,2.0,4473.0,850.0,264.0,457.0,610.0,25080.0,Library for fast text representation and classification.,64.0,34,True,2020-04-28 09:51:33.000,0.9.2,4.0,fasttext,conda-forge/fasttext,,,,5056.0,5056.0,https://pypi.org/project/fasttext,,,1113505.0,1115268.0,https://anaconda.org/conda-forge/fasttext,2023-09-26 23:15:16.887,65261.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +136,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2023-10-11 14:00:33.000000,2023-10-06 22:14:05,4455.0,92.0,2241.0,220.0,588.0,45.0,700.0,20422.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",148.0,34,True,2023-10-06 22:24:44.000,0.17.8,79.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",16.0,,https://pypi.org/project/tts,2023-10-06 22:24:44.000,16.0,84272.0,130607.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,9717.0,,,,,2.0,1423884.0,,,,,,,,,,,,,,,,,, +137,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2023-10-11 05:08:08.000000,2023-10-10 12:09:06,8656.0,161.0,2812.0,265.0,1198.0,160.0,646.0,16481.0,Best Practices on Recommendation Systems.,128.0,34,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,,86.0,84.0,https://pypi.org/project/recommenders,2022-04-01 08:49:49.000,2.0,50240.0,50247.0,,,,,,,,1.0,436.0,,,,,,,recommenders-team/recommenders,,,,,,,,,,, +138,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2023-07-26 09:00:34.000000,2020-06-01 14:58:26,2913.0,,2354.0,232.0,336.0,281.0,223.0,13810.0,Image augmentation for machine learning experiments.,36.0,34,False,2020-02-06 06:18:40.000,0.4.0,3.0,imgaug,conda-forge/imgaug,,,,16629.0,16629.0,https://pypi.org/project/imgaug,,,313250.0,315983.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,142163.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +139,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2023-10-07 14:01:47.000000,2023-08-07 02:39:54,3011.0,2.0,1817.0,285.0,3500.0,323.0,1675.0,13303.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,34,True,2023-05-16 23:50:39.741,2.10.1,55.0,nni,,,,,516.0,481.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,35.0,22617.0,22617.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +140,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2176.0,283.0,3096.0,80.0,2477.0,11582.0,"An open-source NLP research library, built on PyTorch.",265.0,34,True,2022-10-18 23:32:24.000,2.10.1,59.0,allennlp,conda-forge/allennlp,,,['pytorch'],3758.0,3758.0,https://pypi.org/project/allennlp,,,44224.0,46229.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,116303.0,,,,,2.0,61.0,,,,,,,,,,,,,,,,,, +141,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2023-10-12 13:52:41.000000,2023-10-12 05:22:05,3687.0,145.0,1105.0,188.0,2663.0,329.0,723.0,9917.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",143.0,34,True,2023-10-09 23:14:04.000,0.8.5,46.0,ludwig,,,,['tensorflow'],212.0,203.0,https://pypi.org/project/ludwig,2023-10-09 23:14:04.000,9.0,6692.0,6692.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +142,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,,2011-08-10 03:48:06.000,2023-07-01 12:19:02.000000,2022-12-20 16:49:55,28132.0,,2409.0,545.0,4118.0,587.0,2088.0,9789.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,34,False,,,8.0,theano,conda-forge/theano,,,,14330.0,14330.0,https://pypi.org/project/theano,,,394684.0,422003.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2376766.0,,,,,2.0,,,,,,,,,,,,-3.0,,,,,,, +143,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2023-10-09 08:13:31.000000,2023-06-06 09:08:21,5835.0,,2949.0,237.0,1388.0,858.0,3791.0,9725.0,Open-source simulator for autonomous driving research.,153.0,34,True,2022-12-24 18:31:33.838,0.9.14,25.0,carla,,,,,557.0,553.0,https://pypi.org/project/carla,2022-12-24 18:31:33.838,4.0,12677.0,12677.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +144,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-09-03 09:40:51.000000,2023-09-03 09:26:33,526.0,8.0,870.0,86.0,273.0,78.0,376.0,7701.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",81.0,34,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,36126.0,35147.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,979.0,2243997.0,2272414.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1108072.0,,,,,2.0,400.0,,,,,,,,,,,,,,,,,, +145,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2023-10-03 04:40:34.000000,2023-09-20 14:27:34,1308.0,22.0,843.0,156.0,1643.0,169.0,801.0,6812.0,An open source python library for automated feature engineering.,71.0,34,True,2023-07-24 15:40:37.000,1.27.0,102.0,featuretools,conda-forge/featuretools,,,,1507.0,1433.0,https://pypi.org/project/featuretools,2023-07-24 15:40:37.000,74.0,64798.0,68989.0,https://anaconda.org/conda-forge/featuretools,2023-07-24 20:21:04.496,167663.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +146,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2023-10-12 10:48:16.000000,2023-10-06 12:37:24,2828.0,23.0,2210.0,173.0,1081.0,27.0,1389.0,6285.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,190.0,34,True,2023-09-26 09:03:15.000,3.4.1,46.0,OpenNMT-py,,,,['pytorch'],236.0,226.0,https://pypi.org/project/OpenNMT-py,2023-09-26 09:03:15.000,10.0,6331.0,6331.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +147,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1323.0,292.0,6588.0,12.0,2030.0,5823.0,A flexible framework of neural networks for deep learning.,326.0,34,True,2022-06-29 08:19:03.000,7.8.1.post1,100.0,chainer,conda-forge/chainer,,,,3111.0,3111.0,https://pypi.org/project/chainer,,,15812.0,16171.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,15814.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +148,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2023-10-12 14:50:06.000000,2023-10-12 14:03:33,18362.0,838.0,420.0,50.0,2323.0,505.0,933.0,5223.0,"Visualize, create, and debug image and video datasets and model predictions.",96.0,34,True,2023-10-06 19:55:12.000,0.22.1,129.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",416.0,407.0,https://pypi.org/project/fiftyone,2023-10-06 19:47:57.000,9.0,40634.0,40634.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +149,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2023-09-25 18:40:43.024000,2023-09-23 14:57:17,1634.0,7.0,827.0,116.0,518.0,137.0,336.0,4528.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,101.0,34,True,2023-09-25 13:23:15.000,0.23.0,51.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],10862.0,10682.0,https://pypi.org/project/mlxtend,2023-09-25 13:23:15.000,180.0,679096.0,686525.0,https://anaconda.org/conda-forge/mlxtend,2023-09-25 18:40:43.024,289747.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +150,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 14:40:43.000,2023-10-12 09:01:36.000000,2023-09-22 14:09:39,11952.0,282.0,1058.0,100.0,1256.0,120.0,735.0,4019.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",133.0,34,True,2023-09-22 14:42:30.000,1.16.0,56.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,443.0,434.0,https://pypi.org/project/adversarial-robustness-toolbox,2023-09-22 14:17:16.000,9.0,28047.0,28881.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2023-09-22 17:09:10.511,32549.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +151,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2023-10-06 10:06:37.000000,2023-10-06 09:37:45,1168.0,13.0,1715.0,148.0,209.0,2.0,680.0,3399.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,34,True,2023-10-06 10:06:37.000,0.15.0,18.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],332.0,,https://pypi.org/project/tensorflow-hub,2023-10-06 09:58:50.000,332.0,2359580.0,2361941.0,https://anaconda.org/conda-forge/tensorflow-hub,2023-07-13 16:39:43.723,89734.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +152,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2023-10-12 12:12:04.000000,2023-10-12 10:02:43,2535.0,252.0,241.0,24.0,2309.0,216.0,1279.0,2559.0,Argilla: the open-source data curation platform for LLMs.,64.0,34,True,2023-09-18 10:20:17.000,1.16.0,97.0,rubrix,conda-forge/rubrix,,,,1934.0,1934.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,208.0,1429.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,26881.0,,,,,2.0,,,,,,,,argilla-io/argilla,,,,,,,,,,, +153,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2023-10-12 14:03:59.000000,2023-10-11 19:38:24,2601.0,143.0,270.0,68.0,1316.0,50.0,556.0,2149.0,Adaptive Experimentation Platform.,154.0,34,True,2023-08-11 14:57:03.000,0.3.4,37.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],584.0,559.0,https://pypi.org/project/ax-platform,2023-08-11 14:57:03.000,25.0,120438.0,120920.0,https://anaconda.org/conda-forge/ax-platform,2023-08-12 13:48:33.316,13503.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +154,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2023-10-12 14:02:15.000000,2023-10-12 14:01:06,3846.0,187.0,378.0,31.0,2631.0,370.0,962.0,1995.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,144.0,34,True,2023-10-07 04:19:00.000,0.42.3,84.0,pyvista,conda-forge/pyvista,,,['jupyter'],2489.0,2269.0,https://pypi.org/project/pyvista,2023-10-07 01:49:47.000,220.0,202917.0,213109.0,https://anaconda.org/conda-forge/pyvista,2023-10-07 03:29:50.976,407302.0,,,,,2.0,776.0,,,,,,,,,,,,,,,,,, +155,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2023-10-11 02:33:16.000000,2023-09-12 20:39:48,1511.0,1.0,590.0,57.0,1872.0,251.0,893.0,1665.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,205.0,34,True,2023-07-12 00:08:03.536,0.21.0,36.0,tensorflow-addons,,,,['tensorflow'],13414.0,13200.0,https://pypi.org/project/tensorflow-addons,2023-07-12 00:08:03.536,214.0,839378.0,839378.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +156,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2023-09-29 13:08:16.000000,2023-09-13 15:53:18,1508.0,5.0,348.0,48.0,1451.0,167.0,661.0,1448.0,Exploratory analysis of Bayesian models with Python.,148.0,34,True,2023-07-18 20:14:08.000,0.16.1,34.0,arviz,conda-forge/arviz,,,,5053.0,4914.0,https://pypi.org/project/arviz,2023-07-18 20:14:08.000,139.0,1529434.0,1578702.0,https://anaconda.org/conda-forge/arviz,2023-09-19 13:51:11.324,2019918.0,,,,,1.0,133.0,,,,,,,,,,,,,,,,,, +157,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2023-09-21 10:44:11.000000,2023-09-21 00:13:10,1827.0,3.0,195.0,29.0,207.0,22.0,386.0,1321.0,The ctypes-based simple ImageMagick binding for Python.,103.0,34,True,2023-01-05 13:25:52.000,0.6.11,54.0,wand,conda-forge/wand,,,,18005.0,17293.0,https://pypi.org/project/wand,2023-01-05 13:11:36.729,712.0,819355.0,820421.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,30966.0,,,,,2.0,26417.0,,,,,,,,,,,,,,,,,, +158,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2023-10-12 14:12:47.000000,2023-10-12 13:03:44,2899.0,80.0,348.0,57.0,1092.0,326.0,897.0,1273.0,Cartopy - a cartographic python library with matplotlib support.,124.0,34,False,2023-08-05 00:57:41.000,0.22.0,29.0,cartopy,conda-forge/cartopy,,,,4238.0,3832.0,https://pypi.org/project/cartopy,2023-08-05 00:57:41.000,406.0,126695.0,205567.0,https://anaconda.org/conda-forge/cartopy,2023-08-09 21:12:28.547,3233760.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +159,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2023-10-12 03:02:02.085000,2023-10-03 19:43:09,1452.0,12.0,202.0,47.0,516.0,38.0,724.0,1076.0,Fiona reads and writes geographic data files.,71.0,34,True,2023-05-23 23:23:16.000,1.9.4.post1,111.0,fiona,conda-forge/fiona,,,,16028.0,15146.0,https://pypi.org/project/fiona,2023-05-23 23:16:02.878,882.0,6293699.0,6421687.0,https://anaconda.org/conda-forge/fiona,2023-10-12 03:02:02.085,4991532.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +160,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/intel/scikit-learn-intelex,https://github.com/intel/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2023-10-12 13:36:10.000000,2023-10-09 01:18:50,1457.0,105.0,164.0,31.0,1289.0,51.0,164.0,1054.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,77.0,34,True,2023-07-24 18:30:10.000,2023.2.1,21.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],8083.0,8066.0,https://pypi.org/project/scikit-learn-intelex,2023-07-21 11:46:24.000,17.0,152198.0,159315.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2023-07-25 12:42:29.795,213537.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +161,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000,2023-10-12 14:29:51.000000,2023-10-11 14:41:29,13317.0,297.0,382.0,52.0,1925.0,151.0,725.0,623.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",151.0,34,True,2023-04-23 23:30:00.533,1.7.0,26.0,dipy,conda-forge/dipy,,,,995.0,890.0,https://pypi.org/project/dipy,2022-03-11 20:19:02.000,105.0,14380.0,19011.0,https://anaconda.org/conda-forge/dipy,2023-06-16 13:16:19.782,412241.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +162,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2023-10-12 04:41:25.000000,2023-10-12 04:41:01,7234.0,267.0,2565.0,293.0,173.0,23.0,966.0,24172.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,33,True,2023-10-08 22:22:45.000,7.2.3,600.0,netron,,,,"['pytorch', 'tensorflow']",83.0,10.0,https://pypi.org/project/netron,2023-10-08 22:22:45.000,73.0,15642.0,41758.0,,,,,,,,1.0,26116.0,,,,,,,,,,,,,,,,,, +163,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,,2017-09-01 00:36:51.000,2023-10-01 11:57:13.000000,2023-09-10 02:01:49,2281.0,30.0,4709.0,487.0,149.0,958.0,1336.0,18432.0,State-of-the-art 2D and 3D Face Analysis Project.,57.0,33,False,2023-04-02 07:43:27.000,0.7,1.0,insightface,,,,['mxnet'],1052.0,1052.0,https://pypi.org/project/insightface,,,416395.0,532622.0,,,,,,,,2.0,697366.0,,,,,,,,,,,-4.0,,,,,,, +164,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000,2023-10-12 14:11:46.000000,2023-10-12 13:40:29,14767.0,1491.0,2336.0,378.0,3981.0,503.0,2857.0,18137.0,MindsDB connects AI models to datasources.,767.0,33,False,2023-10-11 22:38:03.000,23.10.2.0,100.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,,,6145.0,6145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +165,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-10-03 22:03:02.000000,2023-03-28 11:49:55,2665.0,,2090.0,186.0,1004.0,580.0,710.0,12175.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,33,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1409.0,1403.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,6.0,4960.0,4972.0,,,,,,,,2.0,664.0,,,,,,,,,,,,,,,,,, +166,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2023-08-01 18:30:38.000000,2021-07-29 23:17:25,531.0,,1708.0,265.0,113.0,80.0,535.0,10894.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,18.0,lime,conda-forge/lime,,,,4431.0,4431.0,https://pypi.org/project/lime,,,300450.0,302731.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,187122.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +167,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2023-10-10 09:26:35.000000,2023-10-10 08:25:26,3552.0,107.0,757.0,133.0,152.0,103.0,917.0,10103.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",86.0,33,True,2023-10-10 09:26:35.000,15.2.0,220.0,ocrmypdf,conda-forge/ocrmypdf,,,,635.0,618.0,https://pypi.org/project/ocrmypdf,2023-10-10 09:26:35.000,17.0,46711.0,48789.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,57070.0,,,,,2.0,591.0,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +168,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2023-09-06 21:46:11.000000,2023-09-06 21:46:11,2424.0,6.0,1542.0,290.0,424.0,281.0,633.0,9253.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,116.0,33,False,2023-08-15 18:22:07.000,0.12.1,62.0,tpot,conda-forge/tpot,,,['sklearn'],2428.0,2367.0,https://pypi.org/project/tpot,2023-08-15 18:22:07.000,61.0,37316.0,43209.0,https://anaconda.org/conda-forge/tpot,2023-08-15 22:49:07.495,235756.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +169,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-06-16 13:22:53.603000,2021-09-09 20:54:41,384.0,,898.0,266.0,148.0,108.0,103.0,8981.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,22766.0,20676.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,2090.0,5133999.0,5139870.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,510781.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +170,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2023-08-14 20:55:28.000000,2022-12-08 17:49:19,746.0,,964.0,133.0,217.0,320.0,266.0,7729.0,Manipulate audio with a simple and easy high level interface.,95.0,33,True,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,41022.0,39844.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1178.0,3079363.0,3080560.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,69446.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +171,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2023-10-09 21:00:57.000000,2023-09-29 18:36:14,1218.0,7.0,1022.0,127.0,269.0,349.0,337.0,6879.0,Distributed Asynchronous Hyperparameter Optimization in Python.,102.0,33,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,12609.0,12115.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,494.0,1868158.0,1880152.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,731649.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +172,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,,2017-09-26 08:00:56.000,2023-10-11 20:44:22.000000,2023-10-06 05:01:16,4079.0,223.0,838.0,146.0,447.0,73.0,748.0,6799.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",64.0,33,False,2023-10-06 05:16:12.000,1.6.1,19.0,stanza,stanfordnlp/stanza,,,,2137.0,2137.0,https://pypi.org/project/stanza,,,126950.0,127117.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7184.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +173,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2023-10-12 14:19:58.000000,2023-10-11 17:53:24,3253.0,6.0,897.0,137.0,628.0,51.0,1085.0,6222.0,Python library for audio and music analysis.,117.0,33,True,2023-08-16 13:52:19.000,0.10.1,41.0,librosa,conda-forge/librosa,,,,1456.0,,https://pypi.org/project/librosa,2023-08-16 13:52:19.000,1456.0,2097999.0,2115878.0,https://anaconda.org/conda-forge/librosa,2023-08-16 18:07:49.183,697303.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +174,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2023-10-12 14:06:35.000000,2023-10-11 19:34:59,37105.0,330.0,727.0,141.0,8549.0,903.0,4858.0,5987.0,cuDF - GPU DataFrame Library.,261.0,33,True,2023-10-11 15:25:48.000,23.10.00,40.0,cudf,,,,,54.0,46.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,8.0,1558.0,1558.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +175,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2023-10-06 19:28:25.000000,2023-09-30 18:00:26,2746.0,91.0,684.0,141.0,86.0,67.0,321.0,5714.0,Fit interpretable models. Explain blackbox machine learning.,39.0,33,True,2023-08-28 03:48:17.000,0.4.4,45.0,interpret,,,,['jupyter'],561.0,533.0,https://pypi.org/project/interpret,2023-08-26 19:56:29.000,28.0,64938.0,64938.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +176,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 17:20:35.000,2023-10-12 10:39:35.000000,2023-07-25 15:00:08,1165.0,15.0,626.0,65.0,126.0,50.0,422.0,5485.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",38.0,33,True,2023-07-25 15:01:13.000,2.3.0,207.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],940.0,921.0,https://pypi.org/project/pytorch-metric-learning,2023-07-25 14:56:04.000,19.0,313124.0,313363.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,10776.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +177,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2023-10-10 12:17:21.000000,2023-10-10 12:17:03,2208.0,55.0,603.0,90.0,233.0,386.0,504.0,4776.0,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",85.0,33,True,2023-09-25 21:43:22.000,1.13.1,138.0,clearml,,allegroai/trains,,,765.0,752.0,https://pypi.org/project/clearml,2023-09-25 21:43:04.000,13.0,234615.0,235224.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30186.0,2.0,1555.0,,,,,,,,,,,,,,,,,, +178,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2023-10-12 08:07:21.000000,2023-10-04 15:12:56,2454.0,92.0,253.0,46.0,2083.0,299.0,638.0,4267.0,"Aim An easy-to-use modular observability for AI Systems. Extensible, scalable and modular.",65.0,33,True,2023-10-04 15:56:25.000,4.0.3,777.0,aim,conda-forge/aim,,,,345.0,330.0,https://pypi.org/project/aim,2023-10-11 20:10:33.000,15.0,122954.0,124388.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,38730.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +179,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2023-10-12 13:54:06.000000,2023-10-06 09:39:08,1471.0,26.0,364.0,93.0,716.0,132.0,437.0,3083.0,Quickly and accurately render even the largest data.,53.0,33,True,2023-08-17 10:44:40.000,0.15.2,40.0,datashader,conda-forge/datashader,,,,3114.0,2992.0,https://pypi.org/project/datashader,2023-08-17 10:29:09.000,122.0,74578.0,91365.0,https://anaconda.org/conda-forge/datashader,2023-08-17 12:55:00.403,688278.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +180,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2023-10-12 12:26:54.000000,2023-10-06 05:53:41,1679.0,76.0,329.0,54.0,1412.0,71.0,375.0,2795.0,Bayesian optimization in PyTorch.,103.0,33,True,2023-08-11 00:20:30.000,0.9.2,39.0,botorch,conda-forge/botorch,,,['pytorch'],731.0,700.0,https://pypi.org/project/botorch,2023-08-11 00:20:30.000,31.0,200151.0,202433.0,https://anaconda.org/conda-forge/botorch,2023-08-11 23:47:35.517,86731.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +181,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 21:10:54.000,2023-09-23 11:33:37.000000,2021-10-12 13:32:38,1570.0,,502.0,64.0,533.0,303.0,391.0,2661.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,33,False,2021-10-12 15:33:19.000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,5118.0,4855.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:23:01.204,263.0,485321.0,494372.0,https://anaconda.org/conda-forge/scikit-optimize,2023-06-16 13:23:01.487,678899.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +182,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 13:08:13.000,2023-10-06 19:38:46.000000,2023-09-28 21:01:11,1621.0,10.0,317.0,59.0,171.0,119.0,191.0,2602.0,A machine learning toolkit dedicated to time-series data.,43.0,33,True,2023-08-21 13:31:48.000,0.6.2,99.0,tslearn,conda-forge/tslearn,,,['sklearn'],1017.0,972.0,https://pypi.org/project/tslearn,2023-08-21 13:31:48.000,45.0,289157.0,320351.0,https://anaconda.org/conda-forge/tslearn,2023-08-21 16:01:42.662,1247786.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +183,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 13:32:37.000,2023-10-06 14:12:48.829000,2023-10-04 00:32:47,992.0,17.0,460.0,55.0,131.0,330.0,163.0,2545.0,A high performance implementation of HDBSCAN clustering.,85.0,33,True,2023-07-18 17:54:02.116,0.8.33,50.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],2889.0,2674.0,https://pypi.org/project/hdbscan,2023-07-18 17:54:02.116,215.0,562499.0,610312.0,https://anaconda.org/conda-forge/hdbscan,2023-10-06 14:12:48.829,1721280.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +184,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 19:32:37.000,2023-10-10 18:59:08.000000,2023-10-10 18:59:07,934.0,21.0,393.0,38.0,147.0,48.0,237.0,2286.0,A library of sklearn compatible categorical variable encoders.,64.0,33,True,2023-08-15 16:14:16.000,2.6.2,31.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],1263.0,1101.0,https://pypi.org/project/category_encoders,2023-08-15 16:14:16.000,162.0,1227310.0,1237364.0,https://anaconda.org/conda-forge/category_encoders,2023-08-15 19:21:54.750,241305.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +185,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2023-09-30 21:25:52.000000,2023-09-30 21:25:52,2268.0,17.0,561.0,71.0,475.0,255.0,677.0,2180.0,Survival analysis in Python.,112.0,33,True,2023-09-13 15:31:06.000,0.27.8,169.0,lifelines,conda-forge/lifelines,,,,1992.0,1869.0,https://pypi.org/project/lifelines,2023-09-13 15:31:06.000,123.0,396681.0,403863.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,294494.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +186,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2023-10-12 05:33:04.000000,2023-10-12 05:32:59,2122.0,2122.0,133.0,21.0,73.0,134.0,376.0,1937.0,"Call all LLM APIs using the OpenAI format. Use Azure, OpenAI, Cohere, Anthropic, Ollama, VLLM, Sagemaker, HuggingFace,..",35.0,33,True,2023-10-11 19:44:45.000,0.7.4,343.0,litellm,,,,others,229.0,206.0,https://pypi.org/project/litellm,2023-10-11 21:35:28.000,23.0,249712.0,249712.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +187,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 08:02:14.000,2023-10-05 20:15:05.000000,2023-09-06 20:08:09,3659.0,18.0,189.0,52.0,1332.0,126.0,702.0,1927.0,Ahead of Time compiler for numeric kernels.,72.0,33,True,2023-09-06 20:25:23.000,0.14.0,58.0,pythran,conda-forge/pythran,,,,1296.0,1274.0,https://pypi.org/project/pythran,2023-09-06 20:25:23.000,22.0,188833.0,200048.0,https://anaconda.org/conda-forge/pythran,2023-09-21 12:37:53.939,414973.0,,,,,2.0,,,,,,,,,,,,,,,,,pythran,python-pythran, +188,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2023-10-12 14:38:24.000000,2023-10-12 12:50:07,845.0,114.0,261.0,52.0,951.0,227.0,301.0,1625.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,82.0,33,True,2023-09-21 18:33:16.000,1.13.2,49.0,optimum,conda-forge/optimum,,,,679.0,648.0,https://pypi.org/project/optimum,2023-09-21 18:28:37.000,31.0,446790.0,447299.0,https://anaconda.org/conda-forge/optimum,2023-06-18 08:41:09.996,9174.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +189,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2023-10-09 06:31:38.000000,2023-10-09 06:31:38,1150.0,4.0,348.0,63.0,571.0,249.0,341.0,1405.0,A Jupyter - Leaflet.js bridge.,85.0,33,True,2023-09-11 09:06:03.000,0.17.4,78.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],5695.0,5532.0,https://pypi.org/project/ipyleaflet,2023-09-11 09:06:03.000,158.0,161210.0,233200.0,https://anaconda.org/conda-forge/ipyleaflet,2023-09-11 12:39:04.948,1073729.0,,,,,2.0,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,45802.0,2023-06-02 07:27:55.785,5.0,,,,,,,,,,,, +190,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2023-10-12 14:06:08.000000,2023-10-12 14:06:08,11110.0,298.0,232.0,58.0,11581.0,151.0,2097.0,891.0,Cloud-native genomic dataframes and batch computing.,90.0,33,True,2023-09-21 19:30:21.000,0.2.124,144.0,hail,,,,['spark'],127.0,111.0,https://pypi.org/project/hail,2023-09-21 19:30:21.000,16.0,19205.0,19205.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +191,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2023-10-10 08:23:16.000000,2023-09-28 11:32:14,14783.0,21.0,506.0,50.0,2272.0,392.0,946.0,702.0,Workflows and interfaces for neuroimaging packages.,251.0,33,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,3795.0,3621.0,https://pypi.org/project/nipype,2017-05-21 03:34:02.000,174.0,75870.0,91243.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,584174.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +192,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2023-10-06 02:24:10.000000,2023-10-06 02:23:03,1037.0,98.0,170.0,35.0,113.0,31.0,56.0,686.0,Snowball compiler and stemming algorithms.,34.0,33,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6811.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6807.0,10560617.0,10645421.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7293194.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +193,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2023-10-11 12:58:13.000000,2023-10-06 16:21:48,5593.0,50.0,248.0,36.0,768.0,122.0,384.0,586.0,Python package to access a cacophony of neuro-imaging file formats.,99.0,33,True,2023-04-03 15:53:03.644,5.1.0,40.0,nibabel,conda-forge/nibabel,,,,16103.0,14961.0,https://pypi.org/project/nibabel,2023-04-03 15:53:03.644,1142.0,269707.0,285840.0,https://anaconda.org/conda-forge/nibabel,2023-09-29 18:53:45.076,645352.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +194,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2023-08-30 18:40:54.000000,2023-07-13 08:50:20,531.0,,2587.0,376.0,116.0,213.0,556.0,23607.0,Deezer source separation library including pretrained models.,19.0,32,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],594.0,588.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,16049.0,73695.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,78457.0,,,,,2.0,2686921.0,,,,,,,,,,,,,,,,,, +195,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2023-10-04 00:17:49.000000,2023-07-11 13:03:36,1421.0,,3721.0,768.0,1132.0,373.0,588.0,18685.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,32,True,2022-08-01 18:23:00.243,2.1.4,67.0,magenta,,,,['tensorflow'],508.0,470.0,https://pypi.org/project/magenta,2018-07-31 15:38:15.000,38.0,2551.0,2551.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +196,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2023-07-17 16:46:23.000000,2020-10-14 16:36:49,6226.0,,4627.0,1002.0,1868.0,357.0,658.0,16550.0,"Zipline, a Pythonic Algorithmic Trading Library.",160.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1042.0,957.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,85.0,2706.0,2904.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7340.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +197,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3293.0,464.0,671.0,589.0,672.0,14145.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,True,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1515.0,1425.0,https://pypi.org/project/tensor2tensor,2017-06-21 01:15:55.000,90.0,4800.0,4800.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +198,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-05-27 00:04:03.000000,2021-11-29 19:55:31,1571.0,,1122.0,345.0,1682.0,498.0,1294.0,11090.0,Turi Create simplifies the development of custom machine learning models.,86.0,32,False,2020-09-30 22:44:07.000,6.4.1,30.0,turicreate,,,,,357.0,357.0,https://pypi.org/project/turicreate,,,16787.0,16922.0,,,,,,,,3.0,9458.0,,,,,,,,,,,,,,,,,, +199,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2023-10-11 03:11:21.000000,2023-09-28 03:09:10,2852.0,19.0,1549.0,86.0,1602.0,311.0,1594.0,7634.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",117.0,32,True,2023-04-11 13:37:00.617,2.8.0,18.0,paddleseg,,,,['paddle'],1026.0,1022.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,4.0,1895.0,1895.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +200,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2023-09-09 23:36:21.000000,2023-03-13 12:21:37,454.0,,2291.0,281.0,131.0,298.0,307.0,7579.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",49.0,32,True,2023-03-14 12:04:32.000,3.10.0,54.0,SpeechRecognition,conda-forge/speechrecognition,,,,828.0,18.0,https://pypi.org/project/SpeechRecognition,2022-12-04 12:47:02.703,810.0,454194.0,456208.0,https://anaconda.org/conda-forge/speechrecognition,2023-06-16 13:24:04.552,173263.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +201,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2023-09-05 02:01:43.000000,2023-07-16 10:19:01,1688.0,1.0,1288.0,146.0,201.0,190.0,143.0,7472.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,48.0,32,True,2023-06-25 06:09:29.000,1.1.0,88.0,pyod,conda-forge/pyod,,,,2907.0,2851.0,https://pypi.org/project/pyod,2023-06-25 06:02:01.357,56.0,600805.0,602826.0,https://anaconda.org/conda-forge/pyod,2023-06-26 04:46:35.290,82869.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +202,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2023-10-12 07:45:55.000000,2023-10-11 21:14:19,779.0,40.0,676.0,274.0,1022.0,290.0,324.0,7047.0,Build and manage real-life data science projects with ease!.,73.0,32,True,2023-10-09 21:22:54.000,2.10.2,97.0,metaflow,conda-forge/metaflow,,,,562.0,538.0,https://pypi.org/project/metaflow,2023-10-09 21:22:54.000,24.0,158604.0,162457.0,https://anaconda.org/conda-forge/metaflow,2023-10-10 10:21:23.811,150285.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +203,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2023-10-12 14:19:18.000000,2023-10-11 01:39:37,5749.0,63.0,829.0,112.0,1535.0,98.0,571.0,6760.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",92.0,32,True,2023-10-08 20:08:20.000,2.5.2,113.0,perspective-python,conda-forge/perspective,,,['jupyter'],634.0,618.0,https://pypi.org/project/perspective-python,2023-10-08 20:08:20.000,13.0,6799.0,21042.0,https://anaconda.org/conda-forge/perspective,2023-10-09 04:05:53.222,459812.0,,,,,2.0,1333.0,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2304.0,2023-10-08 20:06:17.808,3.0,,,,,,,,,,,, +204,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,1.0,1850.0,201.0,206.0,10.0,1343.0,6281.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,True,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1419.0,1372.0,https://pypi.org/project/tensorpack,2018-09-04 07:48:02.000,47.0,14616.0,15033.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,9971.0,,,,,3.0,158.0,,,,,,,,,,,,,,,,,, +205,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2023-09-07 16:21:01.000000,2023-09-07 16:21:01,1075.0,12.0,351.0,82.0,514.0,48.0,446.0,5349.0,A scikit-learn compatible neural network library that wraps PyTorch.,60.0,32,True,2023-09-04 10:10:59.000,0.15.0,15.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",962.0,962.0,https://pypi.org/project/skorch,,,69509.0,90482.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,776015.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +206,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-10-09 03:38:19.000000,2020-07-15 13:46:58,1184.0,,1594.0,307.0,293.0,152.0,266.0,5170.0,Portfolio and risk analytics in Python.,59.0,32,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,912.0,878.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,34.0,8921.0,9104.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,12457.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +207,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2023-10-11 20:31:21.000000,2023-10-11 20:21:45,3756.0,58.0,500.0,83.0,514.0,20.0,442.0,4445.0,Online machine learning in Python.,105.0,32,True,2023-09-03 17:17:56.000,0.19.0,17.0,river,conda-forge/river,,,,392.0,363.0,https://pypi.org/project/river,2023-09-03 15:35:29.000,29.0,19774.0,21429.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,49679.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +208,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2023-10-11 16:56:18.000000,2023-10-11 16:55:28,1089.0,35.0,554.0,115.0,781.0,249.0,993.0,3666.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",155.0,32,True,2023-09-18 21:47:03.000,7.0,45.0,coremltools,conda-forge/coremltools,,,,3538.0,3373.0,https://pypi.org/project/coremltools,2023-09-18 21:48:25.000,165.0,167276.0,168831.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,51981.0,,,,,2.0,8186.0,,,,,,,,,,,,,,,,,, +209,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,,2013-09-12 07:18:21.000,2023-10-11 00:51:44.000000,2023-10-08 14:33:42,3792.0,38.0,1002.0,154.0,1518.0,333.0,855.0,3420.0,Fast data visualization and GUI tools for scientific / engineering applications.,260.0,32,False,2023-04-14 21:24:10.000,pyqtgraph-0.13.3,13.0,pyqtgraph,conda-forge/pyqtgraph,,,,8025.0,8025.0,https://pypi.org/project/pyqtgraph,,,154819.0,160662.0,https://anaconda.org/conda-forge/pyqtgraph,2023-06-16 13:19:32.302,473297.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +210,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-10-03 23:37:55.000000,2022-08-14 17:11:42,3272.0,,673.0,184.0,734.0,262.0,669.0,3391.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,32,False,2020-10-21 13:39:07.000,2.1.2,9.0,dyNET,,,,,250.0,250.0,https://pypi.org/project/dyNET,,,279213.0,279368.0,,,,,,,,3.0,13048.0,,,,,,,,,,,,,,,,,, +211,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2023-10-12 11:34:31.000000,2023-09-01 00:41:04,1289.0,2.0,811.0,272.0,1432.0,302.0,510.0,3372.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",149.0,32,True,2023-10-04 17:35:44.000,0.16.0,28.0,torchtext,,,,['pytorch'],480.0,,https://pypi.org/project/torchtext,2023-10-04 16:59:42.000,480.0,380117.0,380117.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +212,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2023-10-12 06:56:41.568000,2023-10-11 17:58:18,434.0,12.0,602.0,79.0,226.0,76.0,401.0,3281.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,32,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1164.0,1126.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,38.0,133847.0,148345.0,https://anaconda.org/conda-forge/implicit,2023-10-12 06:56:41.568,535437.0,,,,,1.0,582.0,,,,,,,,,,,,,,,,,, +213,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2023-10-11 04:35:23.000000,2023-10-06 21:12:55,1369.0,30.0,427.0,52.0,711.0,44.0,449.0,3278.0,NeuralProphet: A simple forecasting package.,45.0,32,True,2023-06-14 22:41:07.000,0.6.2,27.0,neuralprophet,,,,['pytorch'],308.0,305.0,https://pypi.org/project/neuralprophet,2023-09-19 18:17:10.000,3.0,91752.0,91752.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +214,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2023-10-04 01:10:09.000000,2023-09-20 00:35:48,3821.0,17.0,504.0,57.0,867.0,320.0,961.0,3236.0,A highly efficient implementation of Gaussian Processes in PyTorch.,125.0,32,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],1653.0,1586.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,67.0,229750.0,232817.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,125749.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +215,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2023-10-08 03:27:28.000000,2023-10-06 17:35:24,1271.0,22.0,267.0,54.0,212.0,51.0,401.0,2804.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,34.0,32,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,555.0,540.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,15.0,233056.0,256515.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,938384.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +216,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 22:38:21.000,2023-10-10 20:06:23.000000,2023-10-10 20:06:22,1062.0,28.0,381.0,65.0,467.0,200.0,264.0,2776.0,A Hyperparameter Tuning Library for Keras.,58.0,32,True,2023-10-02 21:24:08.000,1.4.4,32.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],2795.0,2737.0,https://pypi.org/project/keras-tuner,2023-10-02 21:24:08.000,58.0,208713.0,209667.0,https://anaconda.org/conda-forge/keras-tuner,2023-06-15 21:56:32.772,24823.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +217,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2023-10-06 12:02:54.000000,2023-09-15 20:57:01,948.0,32.0,216.0,40.0,502.0,69.0,169.0,2617.0,JAX-based neural network library.,79.0,32,True,2023-07-14 15:42:12.000,0.0.10,12.0,dm-haiku,conda-forge/dm-haiku,,,,1502.0,1502.0,https://pypi.org/project/dm-haiku,,,268879.0,269288.0,https://anaconda.org/conda-forge/dm-haiku,2023-07-14 16:46:49.056,13103.0,,,,,3.0,,,,,,,,google-deepmind/dm-haiku,,,,,,,,,,, +218,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2023-10-11 22:03:24.000000,2023-10-11 22:02:17,2259.0,28.0,688.0,81.0,196.0,184.0,459.0,2606.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",145.0,32,True,2023-10-03 11:38:48.000,0.18.0,49.0,tf-agents,,,,['tensorflow'],1307.0,1302.0,https://pypi.org/project/tf-agents,2023-10-03 11:38:48.000,5.0,31685.0,31685.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +219,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2023-10-12 14:37:27.000000,2023-10-12 13:25:21,764.0,43.0,278.0,35.0,834.0,40.0,233.0,2156.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",38.0,32,True,2023-09-09 13:24:13.000,0.7.0,13.0,python-doctr,,,,"['tensorflow', 'pytorch']",199.0,196.0,https://pypi.org/project/python-doctr,2023-09-09 13:24:13.000,3.0,11978.0,72055.0,,,,,,,,2.0,1922470.0,,,,,,,,,,,,,,,,,, +220,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2023-10-12 05:06:12.000000,2023-10-12 05:06:06,5364.0,211.0,666.0,89.0,5485.0,93.0,832.0,2008.0,TFX is an end-to-end platform for deploying production ML pipelines.,178.0,32,True,2023-09-06 18:31:57.000,1.14.0,95.0,tfx,,,,['tensorflow'],14.0,,https://pypi.org/project/tfx,2023-09-06 22:01:30.000,14.0,45653.0,45653.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +221,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2023-10-12 14:44:39.000000,2023-10-11 18:24:22,3633.0,177.0,485.0,53.0,3646.0,307.0,797.0,1920.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,144.0,32,True,2023-09-22 20:00:00.000,0.32.0-post1,50.0,pennylane,conda-forge/pennylane,,,,698.0,640.0,https://pypi.org/project/pennylane,2023-08-28 18:06:33.000,58.0,35033.0,36137.0,https://anaconda.org/conda-forge/pennylane,2023-09-11 14:31:55.391,25378.0,,,,,2.0,70.0,,,,,,,,,,,,,,,,,, +222,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 01:09:14.000,2023-10-10 17:08:08.000000,2023-10-05 17:45:20,4108.0,153.0,1075.0,155.0,1066.0,45.0,590.0,1644.0,Documentation and samples for ArcGIS API for Python.,89.0,32,True,2023-10-03 15:37:18.000,2.2.0,38.0,arcgis,,esridocker/arcgis-api-python-notebook,,,35.0,3.0,https://pypi.org/project/arcgis,2023-09-25 09:48:09.000,32.0,71702.0,71812.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,3.0,9379.0,,,,,,,,,,,,,,,,,, +223,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2023-09-26 00:06:37.000000,2018-10-12 15:53:05,1251.0,,282.0,52.0,154.0,104.0,218.0,1553.0,Python Geocoder.,73.0,32,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,8368.0,7846.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,522.0,439734.0,441387.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,132316.0,,,,,3.0,,,,,,,,,,,,,,,,,,,geocoder +224,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2023-10-10 02:13:21.000000,2023-07-03 18:08:53,1073.0,,227.0,35.0,245.0,50.0,268.0,1437.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",22.0,32,True,2023-03-15 20:50:50.683,2.0.3,43.0,pmdarima,conda-forge/pmdarima,,,,6407.0,6326.0,https://pypi.org/project/pmdarima,2023-03-15 20:50:50.683,81.0,1566312.0,1594166.0,https://anaconda.org/conda-forge/pmdarima,2023-06-16 19:23:20.782,1002764.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +225,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 20:34:28.000,2023-09-14 23:00:07.000000,2023-09-14 23:00:02,815.0,7.0,320.0,122.0,765.0,205.0,163.0,1435.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",82.0,32,True,2023-05-26 02:36:01.000,0.7.5,30.0,tensorflow-model-optimization,,,,['tensorflow'],3244.0,3214.0,https://pypi.org/project/tensorflow-model-optimization,2023-05-26 02:35:42.850,30.0,462245.0,462245.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +226,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2023-10-12 14:29:42.000000,2023-10-06 20:12:09,3267.0,15.0,242.0,50.0,346.0,72.0,261.0,991.0,"OpenCL integration for Python, plus shiny features.",95.0,32,True,2023-10-06 19:02:29.000,2023.1.3,93.0,pyopencl,conda-forge/pyopencl,,,,1867.0,1662.0,https://pypi.org/project/pyopencl,2023-10-06 19:02:29.000,205.0,70997.0,94720.0,https://anaconda.org/conda-forge/pyopencl,2023-10-07 03:21:31.977,948937.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +227,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2023-10-05 16:10:56.000000,2023-10-05 16:10:55,915.0,13.0,214.0,60.0,98.0,45.0,172.0,968.0,Input pipeline framework.,27.0,32,True,2023-08-11 23:14:04.000,1.14.0,56.0,tensorflow-transform,,,,['tensorflow'],1551.0,1495.0,https://pypi.org/project/tensorflow-transform,2023-08-11 23:14:04.000,56.0,806644.0,806644.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +228,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 21:24:50.000,2023-10-12 13:38:46.000000,2023-10-12 13:18:23,158995.0,3970.0,79.0,51.0,1914.0,94.0,279.0,661.0,TensorFlow ROCm port.,4491.0,32,True,2022-12-06 16:42:53.965,2.9.4,97.0,tensorflow-rocm,,,,['tensorflow'],5.0,,https://pypi.org/project/tensorflow-rocm,2023-10-04 19:01:50.000,5.0,3477.0,3477.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,, +229,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2023-10-11 18:02:59.000000,2022-06-10 09:12:18,238.0,,12796.0,1567.0,222.0,713.0,584.0,49533.0,The worlds simplest facial recognition api for Python and the command line.,54.0,31,False,2018-04-02 17:18:43.000,1.2.2,2.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],18.0,18.0,https://pypi.org/project/face_recognition,,,53972.0,54485.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,18490.0,,,,,2.0,1167.0,,,,,,,,,,,,,,,,,, +230,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2023-10-12 14:36:04.000000,2023-10-11 22:54:30,2605.0,493.0,2058.0,247.0,1623.0,63.0,318.0,19686.0,You like pytorch? You like micrograd? You love tinygrad!.,222.0,31,True,2023-08-27 16:40:37.000,0.7.0,4.0,,,,,['pytorch'],27.0,27.0,,,,,,,,,,,,,1.0,,,,,,,,tinygrad/tinygrad,,,,,,,,,,, +231,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2023-10-12 02:15:53.000000,2023-09-15 09:18:04,1952.0,14.0,2136.0,268.0,872.0,226.0,575.0,12592.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",120.0,31,True,2023-07-18 11:35:09.110,0.9.3,32.0,pyqlib,,,,['pytorch'],19.0,18.0,https://pypi.org/project/pyqlib,2022-06-15 06:55:10.000,1.0,1929.0,1939.0,,,,,,,,2.0,372.0,,,,,,,,,,,,,,,,,, +232,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,,2016-03-31 12:05:53.000,2023-09-05 19:14:27.000000,2020-11-30 04:34:51,613.0,,2315.0,461.0,258.0,555.0,362.0,9600.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],4659.0,4659.0,https://pypi.org/project/tflearn,,,8225.0,8225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +233,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2023-10-02 22:40:56.000000,2023-10-02 22:40:55,1387.0,2.0,1406.0,304.0,889.0,129.0,758.0,8942.0,AutoML library for deep learning.,143.0,31,True,2023-01-28 18:46:30.271,1.1.0,58.0,autokeras,,,,['tensorflow'],589.0,578.0,https://pypi.org/project/autokeras,2022-04-30 05:46:13.000,11.0,13439.0,13668.0,,,,,,,,2.0,16291.0,,,,,,,,,,,,,,,,,, +234,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2023-10-09 21:01:10.000000,2023-10-09 21:01:10,546.0,4.0,1155.0,163.0,427.0,58.0,468.0,7767.0,Automatic extraction of relevant features from time series:.,90.0,31,True,2023-06-14 21:34:06.791,0.20.1,30.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],93.0,18.0,https://pypi.org/project/tsfresh,2021-12-21 03:37:03.000,75.0,230766.0,262599.0,https://anaconda.org/conda-forge/tsfresh,2023-07-30 07:29:21.371,1305192.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +235,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2023-10-10 03:26:40.000000,2023-10-01 09:54:19,1083.0,14.0,1475.0,107.0,84.0,8.0,767.0,7598.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",44.0,31,True,2023-02-23 10:07:02.320,0.0.79,78.0,deepface,,,,,1983.0,1969.0,https://pypi.org/project/deepface,2023-01-24 23:15:00.809,14.0,42620.0,42620.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +236,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-09-25 14:18:43.000000,2023-04-18 11:08:13,2759.0,,1239.0,214.0,704.0,170.0,826.0,7160.0,Automated Machine Learning with scikit-learn.,88.0,31,True,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],533.0,494.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,39.0,27338.0,27985.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,19418.0,,,,,2.0,50.0,,,,,,,,,,,,,,,,,, +237,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2023-10-11 22:31:06.000000,2023-07-14 06:46:40,354.0,,1455.0,134.0,125.0,13.0,307.0,7027.0,A Python implementation of global optimization with gaussian processes.,41.0,31,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2209.0,2106.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,103.0,191609.0,191610.0,,,,,,,,2.0,136.0,,,,,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,, +238,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2023-10-11 14:20:13.000000,2023-10-11 14:20:13,1459.0,114.0,542.0,72.0,571.0,76.0,190.0,6782.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",37.0,31,False,2023-09-11 17:53:22.000,2.5.0,24.0,cleanlab,conda-forge/cleanlab,,,,192.0,184.0,https://pypi.org/project/cleanlab,2023-09-11 17:53:22.000,8.0,14384.0,14961.0,https://anaconda.org/conda-forge/cleanlab,2023-09-12 22:14:32.939,17312.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +239,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2023-10-06 20:29:27.000000,2023-09-16 17:34:06,1087.0,51.0,715.0,57.0,849.0,243.0,933.0,6521.0,A python library for user-friendly forecasting and anomaly detection on time series.,103.0,31,True,2023-09-16 18:00:33.000,0.26.0,37.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,390.0,385.0,https://pypi.org/project/u8darts,2023-09-16 18:00:33.000,5.0,12795.0,14140.0,https://anaconda.org/conda-forge/u8darts-all,2023-09-16 21:13:02.960,36173.0,https://hub.docker.com/r/unit8/darts,2023-09-16 17:47:31.409750,,408.0,2.0,,,,,,,,,,,,,,,,,,, +240,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2023-10-11 04:51:36.000000,2023-08-17 07:21:00,2693.0,4.0,1123.0,210.0,1033.0,18.0,612.0,6367.0,An open source library for deep learning end-to-end dialog systems and chatbots.,76.0,31,True,2023-08-17 08:55:26.000,1.3.0,60.0,deeppavlov,,,,['tensorflow'],365.0,359.0,https://pypi.org/project/deeppavlov,2023-08-17 08:55:26.000,6.0,7653.0,7653.0,,,,,,,,2.0,,,,,,,,deeppavlov/DeepPavlov,,,,,,,,,,, +241,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2023-10-09 21:20:30.000000,2023-10-05 21:26:19,915.0,45.0,854.0,137.0,595.0,124.0,288.0,6216.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,82.0,31,True,2023-09-05 04:59:40.000,0.10.1,13.0,dowhy,conda-forge/dowhy,,,,296.0,296.0,https://pypi.org/project/dowhy,,,38807.0,39226.0,https://anaconda.org/conda-forge/dowhy,2023-06-16 19:19:18.359,17212.0,,,,,1.0,33.0,,,,,,,,,,,,,,,,,, +242,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 09:34:48.000,2023-10-06 12:38:17.000000,2023-10-06 12:37:24,759.0,36.0,352.0,72.0,272.0,52.0,492.0,4281.0,Visualizer for pandas data structures.,30.0,31,True,2023-10-02 20:11:29.000,3.7.0,175.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",908.0,887.0,https://pypi.org/project/dtale,2023-10-02 19:47:12.000,21.0,101338.0,107441.0,https://anaconda.org/conda-forge/dtale,2023-10-02 20:41:19.114,250262.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +243,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2023-10-12 12:37:17.000000,2023-10-12 12:37:17,1413.0,48.0,732.0,74.0,1723.0,266.0,612.0,3825.0,Probabilistic time series modeling in Python.,109.0,31,True,2023-09-18 08:39:44.000,0.13.5,94.0,gluonts,anaconda/gluonts,,,['mxnet'],12.0,,https://pypi.org/project/gluonts,2023-09-18 08:39:44.000,12.0,173704.0,173727.0,https://anaconda.org/anaconda/gluonts,2023-06-23 14:26:58.411,571.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +244,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2023-10-11 16:57:02.000000,2023-10-11 16:57:02,1071.0,20.0,342.0,60.0,1322.0,116.0,171.0,3606.0,A Python toolbox for performing gradient-free optimization.,50.0,31,True,2023-10-10 10:46:49.000,1.0.0,45.0,nevergrad,conda-forge/nevergrad,,,,574.0,547.0,https://pypi.org/project/nevergrad,2023-10-10 10:46:49.000,27.0,78120.0,79153.0,https://anaconda.org/conda-forge/nevergrad,2023-09-21 13:51:23.949,42378.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +245,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2023-09-06 04:23:58.000000,2023-08-22 21:52:11,238.0,3.0,262.0,46.0,49.0,29.0,87.0,3575.0,A simple command-line utility for querying and monitoring GPU status.,17.0,31,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,4224.0,4095.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,129.0,1174717.0,1182265.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,264209.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +246,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2023-10-10 07:53:09.000000,2023-02-05 22:03:50,437.0,,499.0,63.0,205.0,171.0,147.0,3519.0,Header-only C++/python library for fast approximate nearest neighbors.,65.0,31,True,2023-02-07 20:10:08.000,0.7.0,10.0,hnswlib,conda-forge/hnswlib,,,,5125.0,5074.0,https://pypi.org/project/hnswlib,2023-02-05 22:20:00.654,51.0,714457.0,717784.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,113147.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +247,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2023-09-25 16:33:45.000000,2023-08-26 23:30:34,979.0,10.0,570.0,101.0,331.0,29.0,709.0,3178.0,"Fast, flexible and easy to use probabilistic modelling in Python.",71.0,31,True,2023-09-17 19:03:32.000,0.14.9,73.0,pomegranate,conda-forge/pomegranate,,,,1047.0,990.0,https://pypi.org/project/pomegranate,2023-09-17 19:03:32.000,57.0,22482.0,25818.0,https://anaconda.org/conda-forge/pomegranate,2023-09-07 11:32:40.942,136786.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +248,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2023-09-26 10:22:21.295000,2022-05-31 03:18:45,1556.0,,425.0,92.0,121.0,71.0,348.0,3152.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,47.0,31,False,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1005.0,948.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,57.0,251076.0,253837.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,99422.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +249,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2023-10-12 01:35:07.000000,2023-10-11 23:09:29,1203.0,28.0,207.0,30.0,363.0,103.0,132.0,3037.0,Lightning fast forecasting with statistical and econometric models.,31.0,31,True,2023-08-23 19:27:53.000,1.6.0,27.0,statsforecast,conda-forge/statsforecast,,,,524.0,503.0,https://pypi.org/project/statsforecast,2023-08-23 19:27:53.000,21.0,391922.0,394625.0,https://anaconda.org/conda-forge/statsforecast,2023-08-25 15:46:41.512,51364.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +250,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2023-06-16 13:24:39.196000,2022-08-22 18:21:12,586.0,,560.0,77.0,72.0,59.0,161.0,2896.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,31,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,4271.0,4107.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000,164.0,1931371.0,1934485.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,236692.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +251,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2023-10-11 16:26:16.000000,2023-04-20 03:41:53,699.0,,240.0,39.0,792.0,68.0,281.0,2593.0,PyTorch extensions for high performance and large scale training.,72.0,31,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],3223.0,3165.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,58.0,498986.0,505932.0,https://anaconda.org/conda-forge/fairscale,2023-06-16 19:27:50.549,159763.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +252,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2023-10-05 15:16:07.000000,2023-10-05 15:16:05,1112.0,49.0,217.0,26.0,947.0,89.0,383.0,2547.0,A python library for self-supervised learning on images.,33.0,31,True,2023-10-04 07:51:48.000,1.4.21,108.0,lightly,,,,['pytorch'],177.0,172.0,https://pypi.org/project/lightly,2023-10-04 07:52:44.000,5.0,36261.0,36261.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +253,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2023-10-11 16:04:32.000000,2023-10-11 16:03:23,10621.0,77.0,370.0,60.0,2827.0,989.0,2086.0,2503.0,"With Holoviews, your data visualizes itself.",137.0,31,True,2023-08-17 07:08:33.000,1.17.1,75.0,holoviews,conda-forge/holoviews,,,['jupyter'],,,https://pypi.org/project/holoviews,,,300649.0,336886.0,https://anaconda.org/conda-forge/holoviews,2023-08-17 07:12:54.422,1410221.0,,,,,2.0,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,982.0,,,,,,,-4.0,,,,,,, +254,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2023-09-21 12:18:51.000000,2023-09-21 12:18:51,2901.0,22.0,675.0,79.0,837.0,250.0,608.0,2485.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",119.0,31,True,2023-06-30 15:03:26.000,0.1.23,22.0,pgmpy,,,,,764.0,734.0,https://pypi.org/project/pgmpy,2022-06-30 09:26:19.000,30.0,49472.0,49479.0,,,,,,,,2.0,289.0,,,,,,,,,,,,,,,,,, +255,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2023-10-12 08:31:40.000000,2023-10-12 05:33:41,2323.0,293.0,197.0,26.0,1001.0,63.0,198.0,2352.0,Database system for AI-powered apps.,64.0,31,True,2023-09-30 04:34:25.000,0.3.7,34.0,evadb,,,,['pytorch'],39.0,39.0,https://pypi.org/project/evadb,,,1413.0,28517.0,,,,,,,,3.0,406569.0,,,,,,,georgia-tech-db/evadb,,,,,,,,,,, +256,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2023-09-25 04:19:29.218000,2023-09-18 22:56:06,528.0,10.0,156.0,44.0,70.0,7.0,120.0,1903.0,a python library for doing approximate and phonetic matching of strings.,30.0,31,True,,,13.0,jellyfish,conda-forge/jellyfish,,,,7051.0,7051.0,https://pypi.org/project/jellyfish,,,2262315.0,2280054.0,https://anaconda.org/conda-forge/jellyfish,2023-09-25 04:19:29.218,709585.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +257,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2023-10-09 11:45:47.000000,2023-10-09 11:43:56,191.0,6.0,249.0,58.0,69.0,45.0,217.0,1853.0,A Python wrapper for the tesseract-ocr API.,29.0,31,True,2023-10-09 13:37:06.000,2.6.2,16.0,tesserocr,conda-forge/tesserocr,,,,890.0,890.0,https://pypi.org/project/tesserocr,,,62241.0,64848.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,125167.0,,,,,2.0,52.0,,,,,,,,,,,,,,,,,, +258,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-10-08 14:28:44.000000,2023-10-08 14:28:43,1157.0,47.0,206.0,36.0,1081.0,25.0,496.0,1711.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,31,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],249.0,246.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,3.0,1801.0,2406.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,15744.0,,,,,1.0,,,,,,,,Lightning-Universe/lightning-flash,,,,,,,,,,, +259,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2023-10-09 13:50:59.000000,2023-09-27 17:00:20,1748.0,77.0,363.0,55.0,109.0,44.0,413.0,1589.0,Reinforcement Learning environments based on the 1993 game Doom.,53.0,31,True,2023-09-27 21:19:28.000,1.2.2,28.0,vizdoom,,,,,219.0,203.0,https://pypi.org/project/vizdoom,2023-09-27 21:19:28.000,16.0,3599.0,3728.0,,,,,,,,1.0,11753.0,,,,,,,Farama-Foundation/ViZDoom,,,,,,,,,,, +260,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2023-10-05 21:15:32.000000,2023-10-05 21:15:32,1049.0,23.0,201.0,52.0,200.0,29.0,268.0,1495.0,A full spaCy pipeline and models for scientific/biomedical documents.,31.0,31,True,2023-09-30 19:50:08.000,0.5.3,10.0,scispacy,,,,,766.0,766.0,https://pypi.org/project/scispacy,,,62820.0,62820.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +261,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2023-10-12 08:23:19.642000,2023-10-11 07:28:04,1466.0,12.0,152.0,33.0,239.0,,,1286.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",21.0,31,True,2023-10-12 06:00:47.000,1.3.2,41.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1278.0,1278.0,https://pypi.org/project/spacy-transformers,,,364539.0,365522.0,https://anaconda.org/conda-forge/spacy-transformers,2023-10-12 08:23:19.642,22624.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +262,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2023-10-12 14:40:48.000000,2023-10-11 17:11:29,3526.0,204.0,48.0,150.0,458.0,117.0,318.0,1229.0,Multiplatform plotting library based on Grammar of Graphics.,20.0,31,True,2023-09-13 17:19:02.000,4.0.1,64.0,lets-plot,,,,,49.0,48.0,https://pypi.org/project/lets-plot,2023-09-13 16:46:46.000,1.0,28178.0,28189.0,,,,,,,,2.0,539.0,,,,,,,,,,,,,,,,,, +263,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2023-10-12 14:10:22.000000,2023-10-12 13:51:46,1101.0,22.0,268.0,42.0,491.0,31.0,177.0,1160.0,ARCH models in Python.,35.0,31,False,2023-09-26 15:06:52.000,6.2.0,45.0,arch,conda-forge/arch-py,,,,1250.0,1183.0,https://pypi.org/project/arch,2023-09-26 15:06:52.000,67.0,262387.0,268984.0,https://anaconda.org/conda-forge/arch-py,2023-10-06 06:11:20.798,263910.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +264,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2023-10-09 18:33:56.000000,2023-10-09 18:33:56,293.0,19.0,2506.0,134.0,41.0,111.0,127.0,15493.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",19.0,30,True,2023-10-06 17:41:41.000,1.5.3,179.0,vit-pytorch,,,,['pytorch'],330.0,324.0,https://pypi.org/project/vit-pytorch,2023-10-06 17:41:41.000,6.0,16949.0,16949.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +265,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2023-10-11 02:12:01.000000,2023-09-27 02:34:22,2153.0,8.0,2668.0,193.0,3579.0,1244.0,3834.0,11248.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",146.0,30,True,2023-02-23 03:25:22.000,2.6.0,8.0,paddledet,,,,['paddle'],114.0,114.0,https://pypi.org/project/paddledet,,,691.0,691.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +266,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2023-10-05 03:18:47.000000,2023-10-04 01:39:27,564.0,1.0,2250.0,221.0,233.0,90.0,409.0,9688.0,A little word cloud generator in Python.,69.0,30,True,2023-05-05 22:40:27.000,1.9.1.1,12.0,wordcloud,conda-forge/wordcloud,,,,18.0,18.0,https://pypi.org/project/wordcloud,,,1374098.0,1385329.0,https://anaconda.org/conda-forge/wordcloud,2023-07-07 15:15:49.535,438009.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +267,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2023-07-21 09:09:23.000000,2023-07-21 09:09:17,859.0,1.0,1266.0,420.0,82.0,32.0,157.0,9606.0,TensorFlow-based neural network library.,58.0,30,True,2020-03-27 10:36:19.000,2.0.0,13.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1152.0,1152.0,https://pypi.org/project/dm-sonnet,,,15069.0,15618.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,25836.0,,,,,3.0,,,,,,,,google-deepmind/sonnet,,,,,,,,,,, +268,pandas-ai,gventuri/pandas-ai,others,,https://github.com/gventuri/pandas-ai,https://github.com/gventuri/pandas-ai,MIT,2023-04-22 12:58:01.000,2023-10-12 10:55:29.000000,2023-10-12 07:41:11,541.0,238.0,688.0,81.0,221.0,106.0,226.0,8721.0,"PandasAI is the Python library that integrates Gen AI into pandas, making data analysis conversational.",48.0,30,True,2023-10-10 21:12:49.000,1.3.3,79.0,pandas-ai,,,,,2283.0,2283.0,https://pypi.org/project/pandas-ai,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +269,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2023-10-12 14:24:16.000000,2023-10-12 14:24:06,2853.0,40.0,2011.0,190.0,390.0,170.0,471.0,8186.0,FinRL: Financial Reinforcement Learning.,106.0,30,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,23.0,23.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1153.0,1153.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +270,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2023-10-12 08:08:41.000000,2023-10-03 00:08:16,1140.0,19.0,1251.0,104.0,604.0,673.0,514.0,7609.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,120.0,30,True,,,2.0,,conda-forge/nvidia-apex,,,['pytorch'],2018.0,2018.0,,,,,3625.0,https://anaconda.org/conda-forge/nvidia-apex,2023-06-16 16:18:35.589,174017.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +271,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2023-10-05 05:04:06.000000,2023-07-17 16:59:29,152.0,1.0,1008.0,199.0,92.0,131.0,281.0,5575.0,Official Kaggle API.,37.0,30,True,2023-07-17 17:06:58.000,1.5.16,59.0,kaggle,conda-forge/kaggle,,,,392.0,18.0,https://pypi.org/project/kaggle,2023-09-19 19:12:15.000,374.0,182400.0,186131.0,https://anaconda.org/conda-forge/kaggle,2023-07-18 03:35:17.292,138074.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +272,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-09-20 11:21:28.000000,2023-09-20 11:21:28,918.0,1.0,634.0,148.0,789.0,141.0,355.0,4655.0,Deep Learning Visualization Toolkit.,33.0,30,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2384.0,2344.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,40.0,135650.0,135658.0,,,,,,,,2.0,328.0,,,,,,,,,,,,,,,,,, +273,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-10-12 09:08:21.000000,2023-10-11 16:51:35,1508.0,44.0,793.0,144.0,1408.0,320.0,394.0,4583.0,Simple and Distributed Machine Learning.,112.0,30,True,2023-09-27 02:20:17.000,0.11.3,35.0,synapseml,,,,,3.0,,https://pypi.org/project/synapseml,2023-09-26 22:58:19.000,3.0,301568.0,301568.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +274,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,,2014-12-17 18:16:59.000,2023-10-09 15:58:41.000000,2023-10-09 15:58:41,28807.0,73.0,1485.0,181.0,1995.0,13.0,1532.0,4556.0,"mlpack: a fast, header-only C++ machine learning library.",307.0,30,False,2023-06-16 19:48:54.000,4.2.0,44.0,mlpack,conda-forge/mlpack,,,,,,https://pypi.org/project/mlpack,,,2910.0,6943.0,https://anaconda.org/conda-forge/mlpack,2023-06-17 04:40:48.549,161325.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +275,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-08-27 19:16:02.000000,2023-04-30 18:36:20,483.0,,661.0,92.0,206.0,137.0,356.0,4433.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,30,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1272.0,1225.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000,47.0,661044.0,663449.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,165971.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +276,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2023-10-09 20:00:11.000000,2023-10-09 20:00:07,560.0,32.0,691.0,80.0,294.0,87.0,268.0,4297.0,Uplift modeling and causal inference with machine learning algorithms.,56.0,30,True,2023-08-28 06:52:12.000,0.14.1,22.0,causalml,,,,,169.0,168.0,https://pypi.org/project/causalml,2023-08-28 06:52:12.000,1.0,264693.0,264693.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +277,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2023-10-09 16:06:42.000000,2022-09-24 16:20:26,585.0,,812.0,90.0,200.0,99.0,416.0,4066.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,45.0,30,False,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3360.0,3328.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,32.0,71941.0,72728.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,18909.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +278,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2023-10-11 23:05:31.000000,2023-10-11 14:41:12,15285.0,80.0,468.0,70.0,3306.0,796.0,1536.0,3567.0,cuML - RAPIDS Machine Learning Library.,166.0,30,True,2023-10-11 18:02:50.000,23.10.00,35.0,cuml,,,,,5.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,5.0,1623.0,1623.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +279,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2023-10-10 14:19:32.000000,2023-10-04 07:40:23,3656.0,8.0,474.0,102.0,1041.0,245.0,368.0,3480.0,Plotting library for IPython/Jupyter notebooks.,64.0,30,True,2023-08-04 08:42:57.918,0.5.42,109.0,bqplot,conda-forge/bqplot,,,['jupyter'],170.0,49.0,https://pypi.org/project/bqplot,2023-07-17 16:10:40.597,105.0,139349.0,174528.0,https://anaconda.org/conda-forge/bqplot,2023-07-12 07:26:23.351,1224177.0,,,,,2.0,,,bqplot,https://www.npmjs.com/package/bqplot,5322.0,2023-08-04 08:42:57.918,16.0,,,,,,,,,,,, +280,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2023-09-28 08:31:00.000000,2023-09-28 08:30:38,400.0,24.0,241.0,63.0,51.0,,,3188.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",14.0,30,True,2023-09-28 08:32:07.000,4.6.0,11.0,textdistance,conda-forge/textdistance,,,,4970.0,4970.0,https://pypi.org/project/textdistance,,,367172.0,374475.0,https://anaconda.org/conda-forge/textdistance,2023-06-16 16:13:38.456,473904.0,,,,,2.0,916.0,,,,,,,,,,,,,,,,,, +281,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2023-09-28 14:19:11.000000,2023-09-10 15:15:16,1059.0,46.0,226.0,60.0,109.0,4.0,265.0,2970.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,30,True,2023-09-10 19:39:46.000,0.3.2,22.0,vidgear,,,,,470.0,461.0,https://pypi.org/project/vidgear,2023-09-10 19:39:46.000,9.0,16178.0,16194.0,,,,,,,,2.0,926.0,,,,,,,,,,,,,,,,,, +282,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-08-05 13:29:17.000000,2023-08-05 13:28:57,327.0,2.0,318.0,65.0,69.0,7.0,116.0,2846.0,A Python Perceptual Image Hashing Module.,25.0,30,True,2021-03-25 13:49:48.000,4.1.0,7.0,ImageHash,conda-forge/imagehash,,,,10724.0,10724.0,https://pypi.org/project/ImageHash,,,1433631.0,1437721.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,339520.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +283,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2023-09-23 22:00:36.000000,2023-07-13 17:20:36,617.0,,320.0,49.0,119.0,58.0,133.0,2667.0,A python library for decision tree visualization and model interpretation.,25.0,30,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,932.0,908.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,123062.0,124776.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,60010.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +284,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,99.0,1045.0,260.0,297.0,2531.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",85.0,30,True,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1410.0,1388.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,76093.0,76093.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +285,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2023-10-05 22:44:57.000000,2023-09-30 19:28:42,2645.0,29.0,340.0,37.0,498.0,43.0,212.0,2513.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",60.0,30,True,2023-09-11 23:15:50.000,0.3.9,46.0,textattack,conda-forge/textattack,,,,202.0,197.0,https://pypi.org/project/textattack,2023-09-11 23:15:50.000,5.0,5791.0,5971.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,6679.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +286,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2023-08-10 11:30:02.000000,2023-08-01 12:07:51,1342.0,14.0,287.0,23.0,43.0,25.0,194.0,2075.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,20.0,30,True,2023-08-01 11:53:07.000,0.4.3,88.0,explainerdashboard,conda-forge/explainerdashboard,,,,383.0,374.0,https://pypi.org/project/explainerdashboard,2023-08-01 11:53:07.000,9.0,40357.0,41537.0,https://anaconda.org/conda-forge/explainerdashboard,2023-06-16 19:23:52.178,40148.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +287,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapter-transformers,https://github.com/adapter-hub/adapter-transformers,Apache-2.0,2020-04-21 16:21:43.000,2023-10-12 09:19:02.000000,2023-09-09 10:28:34,12583.0,2.0,285.0,23.0,253.0,65.0,283.0,1923.0,Huggingface Transformers + Adapters =.,1714.0,30,True,2023-04-06 21:17:41.000,adapters3.2.1,18.0,adapter-transformers,,,,['huggingface'],240.0,233.0,https://pypi.org/project/adapter-transformers,2022-05-18 08:45:47.000,7.0,12260.0,12260.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +288,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2023-10-09 16:24:14.000000,2023-08-09 07:05:49,2440.0,4.0,435.0,74.0,1252.0,143.0,679.0,1765.0,Gaussian processes in TensorFlow.,83.0,30,True,2023-08-09 09:23:26.000,2.9.0,48.0,gpflow,conda-forge/gpflow,,,['tensorflow'],605.0,569.0,https://pypi.org/project/gpflow,2023-08-09 09:23:26.000,36.0,45816.0,46184.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,23947.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +289,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2023-10-01 22:45:04.870000,2023-08-28 18:19:10,1585.0,2.0,274.0,55.0,135.0,78.0,178.0,1623.0,"CUDA integration for Python, plus shiny features.",80.0,30,True,2023-07-06 18:53:22.000,2022.2.2,51.0,pycuda,conda-forge/pycuda,,,,2636.0,2417.0,https://pypi.org/project/pycuda,2022-12-21 02:24:00.995,219.0,33477.0,41749.0,https://anaconda.org/conda-forge/pycuda,2023-10-01 22:45:04.870,256442.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +290,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2023-10-03 17:07:10.000000,2023-09-29 10:14:46,932.0,2.0,176.0,47.0,289.0,104.0,117.0,1552.0,Evaluate: A library for easily evaluating machine learning models and datasets.,122.0,30,True,2022-12-13 13:35:51.000,0.4.0,13.0,evaluate,,,,,4252.0,4153.0,https://pypi.org/project/evaluate,2022-12-13 13:28:07.299,99.0,931872.0,931872.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +291,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2023-10-05 09:23:28.000000,2023-10-05 09:23:23,1094.0,72.0,172.0,23.0,140.0,46.0,123.0,1518.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,24.0,30,True,2023-08-30 11:28:23.000,0.33.0,36.0,audiomentations,,,,,353.0,348.0,https://pypi.org/project/audiomentations,2023-08-30 11:28:23.000,5.0,11091.0,11091.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +292,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2023-10-11 16:04:41.000000,2023-10-11 15:49:30,3638.0,88.0,243.0,31.0,538.0,86.0,657.0,1481.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,72.0,30,True,2023-07-28 14:24:47.000,0.4.0,7.0,avalanche-lib,,,,,50.0,49.0,https://pypi.org/project/avalanche-lib,2023-07-28 14:24:47.000,1.0,1512.0,1512.0,,,,,,,,2.0,4.0,,,,,,,,,,,,,,,,,, +293,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2023-10-03 13:47:59.000000,2023-09-27 16:38:49,1810.0,24.0,269.0,45.0,261.0,58.0,191.0,1439.0,TensorLy: Tensor Learning in Python.,66.0,30,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,541.0,492.0,https://pypi.org/project/tensorly,2023-01-14 21:19:00.648,49.0,20129.0,25702.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,362305.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +294,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-09-26 23:11:11.000000,2023-09-26 23:11:11,163.0,6.0,174.0,33.0,72.0,19.0,49.0,1366.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,30,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],1618.0,1608.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,10.0,1019945.0,1020509.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,18629.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +295,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2023-10-09 21:36:40.000000,2023-10-09 21:36:37,923.0,8.0,427.0,87.0,202.0,49.0,234.0,1366.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,70.0,30,True,2023-02-02 20:53:47.943,3.1.0,24.0,emcee,conda-forge/emcee,,,,2423.0,2072.0,https://pypi.org/project/emcee,2022-05-10 15:29:37.000,351.0,91399.0,94885.0,https://anaconda.org/conda-forge/emcee,2023-06-16 13:16:26.628,310326.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +296,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2023-10-12 12:13:41.000000,2023-10-10 00:33:27,1506.0,18.0,162.0,19.0,752.0,106.0,431.0,1201.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,107.0,30,True,2023-09-18 03:57:15.000,0.26.0,59.0,pyjanitor,conda-forge/pyjanitor,,,,493.0,475.0,https://pypi.org/project/pyjanitor,2023-09-18 03:57:09.000,18.0,32209.0,34928.0,https://anaconda.org/conda-forge/pyjanitor,2023-06-16 16:12:04.304,182185.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +297,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2023-10-04 22:35:58.000000,2023-09-05 18:32:42,3006.0,31.0,267.0,35.0,37.0,4.0,472.0,1184.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,30,True,2023-09-05 19:18:15.000,0.38.0,204.0,ktrain,,,,['tensorflow'],465.0,462.0,https://pypi.org/project/ktrain,2023-09-05 19:17:43.000,3.0,19753.0,19753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +298,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2023-10-12 11:27:32.000000,2023-10-11 17:37:29,12396.0,253.0,270.0,33.0,1662.0,439.0,587.0,960.0,Python package for earth-observing satellite data processing.,145.0,30,False,2023-09-21 01:38:17.000,0.43.0.post0,89.0,satpy,conda-forge/satpy,,,,126.0,109.0,https://pypi.org/project/satpy,2023-09-21 01:38:59.000,17.0,7923.0,12169.0,https://anaconda.org/conda-forge/satpy,2023-09-21 03:49:50.650,169856.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +299,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2023-06-16 13:22:54.711000,2022-10-09 20:27:52,544.0,,105.0,32.0,54.0,72.0,75.0,900.0,Describing statistical models in Python using symbolic formulas.,17.0,30,True,2022-10-09 20:34:35.000,0.5.3,10.0,patsy,conda-forge/patsy,,,,83214.0,80485.0,https://pypi.org/project/patsy,2022-10-09 20:29:01.698,2729.0,9152080.0,9257948.0,https://anaconda.org/conda-forge/patsy,2023-06-16 13:22:54.711,9104705.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +300,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2023-10-12 13:57:45.000000,2023-10-12 13:18:42,610.0,31.0,88.0,25.0,454.0,307.0,382.0,810.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",43.0,30,True,2023-06-06 09:09:01.000,0.8.4,58.0,hvplot,conda-forge/hvplot,,,,3823.0,3731.0,https://pypi.org/project/hvplot,2023-09-20 16:33:37.000,92.0,122176.0,134088.0,https://anaconda.org/conda-forge/hvplot,2023-06-20 07:28:53.177,476500.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +301,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2023-10-11 01:28:12.000000,2023-10-09 10:35:38,1849.0,13.0,217.0,19.0,280.0,48.0,268.0,748.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",43.0,30,True,2023-01-08 01:14:38.679,1.4.7,46.0,salib,conda-forge/salib,,,,988.0,906.0,https://pypi.org/project/salib,2022-06-22 01:55:54.000,82.0,101905.0,103545.0,https://anaconda.org/conda-forge/salib,2023-06-16 13:22:11.263,136185.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +302,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2023-10-09 19:16:09.000000,2023-10-07 23:47:13,1647.0,42.0,277.0,42.0,1258.0,259.0,361.0,666.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,30,True,2023-09-08 15:59:39.000,0.34.0,41.0,tensorflow-io,,,,['tensorflow'],33.0,,https://pypi.org/project/tensorflow-io,2023-09-08 14:58:40.000,33.0,3086850.0,3086850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +303,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2023-10-09 20:46:02.000000,2023-10-09 19:41:24,17022.0,42.0,108.0,26.0,3542.0,509.0,3370.0,455.0,"Keep code, data, containers under control with git and git-annex.",55.0,30,True,2023-08-10 15:56:42.000,0.19.3,108.0,datalad,conda-forge/datalad,,,,63.0,,https://pypi.org/project/datalad,2023-08-10 15:56:42.000,63.0,16993.0,26890.0,https://anaconda.org/conda-forge/datalad,2023-08-10 20:20:25.522,395887.0,,,,,2.0,,,,,,,,,,,,4.0,,,,,,, +304,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2023-09-30 21:07:31.348000,2023-08-17 17:52:43,277.0,5.0,107.0,24.0,50.0,35.0,54.0,451.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,30,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,15909.0,15549.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,360.0,1316484.0,1336297.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,713298.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +305,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2023-10-12 13:07:39.000000,2023-10-12 13:07:38,1749.0,186.0,48.0,14.0,1303.0,37.0,194.0,411.0,The MLOps stack component for experiment tracking.,52.0,30,True,2023-10-10 09:20:28.000,1.8.2,188.0,neptune-client,conda-forge/neptune-client,,,,44.0,,https://pypi.org/project/neptune-client,2023-10-11 16:25:09.000,44.0,537984.0,543249.0,https://anaconda.org/conda-forge/neptune-client,2023-10-10 10:39:44.277,215867.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +306,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-10-01 08:59:57.840000,2023-09-20 14:02:33,568.0,7.0,38.0,14.0,67.0,7.0,25.0,203.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,30,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,34223.0,33976.0,https://pypi.org/project/blis,2023-09-22 06:27:17.000,247.0,5298602.0,5352216.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,1983744.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +307,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-08-31 08:45:10.000000,2020-01-31 13:06:18,347.0,,4769.0,651.0,371.0,495.0,435.0,14852.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,29,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,567.0,528.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,39.0,1000.0,1000.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +308,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2023-10-09 02:57:53.000000,2023-04-19 14:13:08,2404.0,,3342.0,593.0,217.0,42.0,,11687.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,1780.0,1721.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000,59.0,12987.0,12987.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +309,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 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1840.0,218.0,46.0,96.0,94.0,8822.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],112.0,18.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,109425.0,110130.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,28229.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +310,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2023-09-25 05:14:24.000000,2023-08-26 12:04:19,383.0,5.0,2081.0,288.0,96.0,284.0,446.0,8087.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,29,True,2022-12-20 21:17:57.000,test-resources-v3,12.0,imageai,conda-forge/imageai,,,,1448.0,1448.0,https://pypi.org/project/imageai,,,6614.0,20185.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,6471.0,,,,,2.0,884845.0,,,,,,,,,,,,,,,,,, +311,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2023-09-22 10:38:45.000000,2023-09-22 10:33:05,1104.0,6.0,1158.0,141.0,151.0,217.0,1177.0,7734.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,124.0,29,False,2023-05-10 15:14:23.000,0.7.4,16.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],599.0,599.0,https://pypi.org/project/pytorch3d,,,3886.0,7173.0,https://anaconda.org/pytorch3d/pytorch3d,2023-06-16 16:19:10.555,154501.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +312,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 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,909.0,269.0,98.0,82.0,81.0,7186.0,Visualizations for machine learning datasets.,31.0,29,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],209.0,201.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,191978.0,191978.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +313,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-08-17 14:43:11.000000,2023-08-16 23:55:56,220.0,4.0,1303.0,173.0,45.0,75.0,235.0,6519.0,2D and 3D Face alignment library build using pytorch.,26.0,29,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],28.0,18.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,10.0,49562.0,49562.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +314,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2023-10-12 14:03:06.000000,2023-10-12 06:57:26,1920.0,74.0,772.0,96.0,2136.0,258.0,845.0,6306.0,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",111.0,29,True,2023-06-30 22:19:00.811,0.8.2,1301.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",9.0,2.0,https://pypi.org/project/autogluon,2023-10-12 09:04:39.000,7.0,42616.0,42696.0,,,,https://hub.docker.com/r/autogluon/autogluon,2023-07-26 19:13:58.158186,15.0,4129.0,2.0,,,,,,,,,,,,,,,,,,, +315,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2023-06-16 19:20:32.486000,2023-01-31 19:40:04,3203.0,,1390.0,191.0,783.0,38.0,423.0,5930.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",131.0,29,True,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],538.0,526.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,12.0,1065.0,1241.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7077.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +316,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2023-09-29 01:13:40.000000,2022-09-18 19:55:03,775.0,,1156.0,213.0,91.0,194.0,120.0,5443.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",27.0,29,False,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,409.0,390.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,19.0,16065.0,16065.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +317,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 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1360.0,208.0,158.0,42.0,227.0,5436.0,Deep Reinforcement Learning for Keras.,41.0,29,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],775.0,721.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,54.0,1591.0,1591.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +318,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2023-10-09 19:54:54.000000,2023-10-09 19:54:51,582.0,46.0,656.0,109.0,172.0,10.0,335.0,5106.0,Python-tesseract is an optical character recognition (OCR) tool for python.,43.0,29,True,2023-09-12 17:22:46.000,0.3.12,25.0,pytesseract,conda-forge/pytesseract,,,,,,https://pypi.org/project/pytesseract,,,1124977.0,1140000.0,https://anaconda.org/conda-forge/pytesseract,2023-09-12 21:02:53.478,585902.0,,,,,2.0,,,,,,,,,,,,-5.0,,,,,,, +319,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-08-30 13:05:18.000000,2023-08-30 13:04:28,247.0,1.0,851.0,123.0,38.0,62.0,143.0,4870.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,29,True,2022-04-22 15:21:47.000,0.2.3,7.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],2353.0,2317.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,36.0,904219.0,904545.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,13384.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +320,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2023-06-16 16:15:44.326000,2022-01-27 13:24:16,139.0,,1004.0,154.0,112.0,94.0,79.0,4392.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,29,False,,,3.0,imutils,conda-forge/imutils,,,,37597.0,37597.0,https://pypi.org/project/imutils,,,372279.0,375128.0,https://anaconda.org/conda-forge/imutils,2023-06-16 16:15:44.326,148190.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +321,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-06-16 19:26:38.185000,2022-07-07 05:16:43,738.0,,438.0,41.0,124.0,63.0,154.0,4127.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,919.0,893.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,26.0,130269.0,130765.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,13890.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +322,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2023-06-19 05:07:43.000000,2023-06-19 05:07:42,1342.0,,374.0,71.0,364.0,96.0,460.0,4098.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,29,True,2023-01-25 17:37:52.489,0.8.4,28.0,sacred,conda-forge/sacred,,,,2719.0,2612.0,https://pypi.org/project/sacred,2023-01-25 17:37:52.489,107.0,37996.0,38172.0,https://anaconda.org/conda-forge/sacred,2023-06-16 19:27:54.498,4051.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +323,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2023-09-05 09:19:38.000000,2022-08-23 15:59:41,615.0,,798.0,148.0,118.0,132.0,99.0,3781.0,Technical Analysis Library using Pandas and Numpy.,29.0,29,False,2022-08-23 16:03:04.047,0.10.2,54.0,ta,conda-forge/ta,,,,2625.0,2582.0,https://pypi.org/project/ta,2022-08-23 16:03:04.047,43.0,70172.0,70790.0,https://anaconda.org/conda-forge/ta,2023-06-16 19:24:38.213,19799.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +324,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000,2023-08-19 15:07:22.000000,2022-10-25 17:55:33,609.0,,114.0,76.0,66.0,13.0,120.0,3610.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,29,True,2021-08-23 21:02:05.000,6.0.3,11.0,ftfy,conda-forge/ftfy,,,,13941.0,13941.0,https://pypi.org/project/ftfy,,,3155899.0,3159381.0,https://anaconda.org/conda-forge/ftfy,2023-06-16 13:23:10.061,271610.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +325,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2023-10-10 20:01:16.000000,2023-10-10 20:01:07,1662.0,72.0,511.0,41.0,715.0,429.0,280.0,3247.0,Time series forecasting with PyTorch.,43.0,29,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,10.0,,https://pypi.org/project/pytorch-forecasting,2020-07-26 21:35:43.000,10.0,56538.0,57913.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,50908.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +326,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2023-10-12 01:10:32.000000,2023-10-10 19:51:49,1111.0,72.0,444.0,62.0,618.0,1.0,484.0,3190.0,On-device wake word detection powered by deep learning.,36.0,29,True,2023-06-07 17:55:33.855,2.2.1,31.0,pvporcupine,,,,,33.0,22.0,https://pypi.org/project/pvporcupine,2022-06-28 23:59:24.000,11.0,3697.0,3697.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +327,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2023-07-08 17:08:15.000000,2022-04-29 04:19:24,1698.0,,399.0,47.0,1084.0,6.0,351.0,3178.0,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1039.0,1007.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,32.0,89969.0,89969.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +328,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2023-10-11 15:32:13.000000,2023-09-18 11:12:26,1462.0,26.0,221.0,16.0,1665.0,255.0,720.0,3064.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,50.0,29,False,2023-10-11 15:32:25.000,0.17.5,58.0,deepchecks,,,,,283.0,277.0,https://pypi.org/project/deepchecks,2023-10-11 15:32:13.000,6.0,47775.0,47806.0,,,,,,,,2.0,756.0,,,,,,,,,,,,,,,,,, +329,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452.0,,672.0,112.0,73.0,99.0,123.0,2898.0,Productivity Tools for Plotly + Pandas.,39.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],9385.0,9215.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,170.0,79595.0,79595.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +330,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 03:16:39.000,2023-09-18 10:49:10.000000,2023-06-20 03:14:12,435.0,,275.0,34.0,474.0,31.0,30.0,2860.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,29,True,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],1052.0,1010.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,42.0,106475.0,106773.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,8952.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +331,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2023-10-07 20:19:04.855000,2023-08-31 20:43:50,463.0,2.0,729.0,120.0,113.0,57.0,365.0,2829.0,"Hidden Markov Models in Python, with scikit-learn like API.",45.0,29,True,2023-04-18 18:59:00.534,0.3.0,12.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2192.0,2053.0,https://pypi.org/project/hmmlearn,2022-02-10 14:13:50.000,139.0,161311.0,166604.0,https://anaconda.org/conda-forge/hmmlearn,2023-10-07 20:19:04.855,195861.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +332,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2023-09-29 10:24:16.000000,2023-09-29 10:24:16,1129.0,35.0,364.0,43.0,61.0,122.0,454.0,2776.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",22.0,29,True,2023-09-26 17:27:09.000,1.1.1,84.0,mljar-supervised,conda-forge/mljar-supervised,,,,90.0,88.0,https://pypi.org/project/mljar-supervised,2023-09-26 17:23:51.000,2.0,6742.0,7142.0,https://anaconda.org/conda-forge/mljar-supervised,2023-09-27 04:54:23.157,11200.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +333,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-10-08 20:21:44.000000,2023-09-26 10:23:29,124.0,17.0,255.0,50.0,19.0,35.0,89.0,2618.0,"Visualize and compare datasets, target values and associations, with one line of code.",9.0,29,True,2023-08-26 11:31:52.000,2.2.1,11.0,sweetviz,conda-forge/sweetviz,,,,1725.0,1725.0,https://pypi.org/project/sweetviz,,,72237.0,73028.0,https://anaconda.org/conda-forge/sweetviz,2023-08-28 12:37:11.059,25319.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +334,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2023-10-12 07:35:51.000000,2023-10-12 07:35:49,2853.0,25.0,962.0,121.0,490.0,53.0,291.0,2488.0,IPython Parallel: Interactive Parallel Computing in Python.,112.0,29,False,2023-04-14 13:35:06.415,8.6.1,45.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],298.0,,https://pypi.org/project/ipyparallel,2023-04-14 13:35:06.415,298.0,277697.0,287846.0,https://anaconda.org/conda-forge/ipyparallel,2023-06-16 13:17:51.662,913494.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +335,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2023-10-12 02:32:15.000000,2023-10-11 23:28:46,6621.0,577.0,312.0,75.0,7785.0,38.0,298.0,2476.0,"Determined is a deep-learning platform that simplifies distributed training, hyperparameter tuning, experiment..",104.0,29,True,2023-09-25 23:01:21.000,0.26.0,94.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",,,https://pypi.org/project/determined,,,15618.0,15791.0,,,,,,,,3.0,7305.0,,,,,,,,,,,,,,,,,, +336,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2023-10-05 09:52:17.000000,2023-09-20 12:36:49,1468.0,37.0,290.0,41.0,305.0,33.0,142.0,2464.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,35.0,29,True,2023-09-20 13:10:11.000,2.3.7,35.0,shapash,,,,['jupyter'],129.0,127.0,https://pypi.org/project/shapash,2023-09-20 13:10:11.000,2.0,8375.0,8375.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +337,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2023-10-12 14:48:01.000000,2023-10-03 21:59:34,494.0,48.0,440.0,29.0,597.0,59.0,521.0,2443.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",60.0,29,True,2023-08-29 07:29:32.000,0.7.0,27.0,anomalib,,,,,32.0,31.0,https://pypi.org/project/anomalib,2023-08-29 07:29:59.000,1.0,16987.0,17117.0,,,,,,,,2.0,2873.0,,,,,,,,,,,,,,,,,, +338,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 12:09:24.000,2023-10-02 18:41:47.000000,2023-10-02 18:41:40,760.0,21.0,578.0,176.0,72.0,4.0,532.0,2383.0,Python sync/async framework for Interactive Brokers API.,36.0,29,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,23.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,23.0,33281.0,33993.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,36353.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +339,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2023-07-06 22:54:55.000000,2022-12-10 14:00:49,877.0,,356.0,85.0,166.0,219.0,146.0,2278.0,D3 Renderings of Matplotlib Graphics.,51.0,29,True,2022-12-10 14:03:04.289,0.5.9,18.0,mpld3,conda-forge/mpld3,,,,5523.0,5107.0,https://pypi.org/project/mpld3,2022-12-10 14:03:04.289,408.0,280988.0,283641.0,https://anaconda.org/conda-forge/mpld3,2023-06-16 13:17:04.944,188096.0,,,,,3.0,,,mpld3,https://www.npmjs.com/package/mpld3,564.0,2022-12-10 14:00:31.699,8.0,,,,,,,,,,,, +340,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000,2023-10-10 10:19:37.000000,2023-10-10 10:18:45,640.0,20.0,229.0,47.0,620.0,131.0,223.0,2174.0,Algorithms for explaining machine learning models.,18.0,29,True,2023-07-07 14:10:27.000,0.9.4,31.0,alibi,,,,,544.0,519.0,https://pypi.org/project/alibi,2023-07-07 14:10:05.734,25.0,24948.0,24948.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +341,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,255.0,92.0,124.0,33.0,230.0,2109.0,"NLP, before and after spaCy.",35.0,29,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1674.0,1559.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,115.0,65495.0,67256.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,135634.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +342,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000,2023-10-07 11:23:11.000000,2023-10-07 11:21:43,708.0,20.0,195.0,35.0,513.0,134.0,232.0,1949.0,"Algorithms for outlier, adversarial and drift detection.",19.0,29,True,2023-07-07 12:16:02.615,0.11.4,36.0,alibi-detect,,,,,378.0,372.0,https://pypi.org/project/alibi-detect,2022-06-01 16:23:29.000,6.0,23134.0,23134.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +343,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2023-10-10 13:27:05.000000,2023-10-10 00:26:11,1059.0,36.0,192.0,27.0,383.0,83.0,269.0,1814.0,Scalable and user friendly neural forecasting algorithms.,30.0,29,True,2023-10-05 19:40:30.000,1.6.4,20.0,neuralforecast,conda-forge/neuralforecast,,,,52.0,49.0,https://pypi.org/project/neuralforecast,2023-10-05 19:40:30.000,3.0,8594.0,9155.0,https://anaconda.org/conda-forge/neuralforecast,2023-10-06 19:47:12.240,10677.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +344,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2023-09-14 14:51:58.000000,2023-09-04 14:53:24,500.0,4.0,393.0,85.0,96.0,80.0,251.0,1782.0,bt - flexible backtesting for Python.,28.0,29,True,2021-04-21 02:52:26.000,0.2.9,25.0,bt,conda-forge/bt,,,,1586.0,1559.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000,27.0,9248.0,9840.0,https://anaconda.org/conda-forge/bt,2023-06-16 19:25:41.987,17776.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +345,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2023-08-03 18:28:09.000000,2023-06-10 14:30:23,670.0,,400.0,41.0,58.0,19.0,267.0,1761.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,29,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1138.0,1116.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,37640.0,38400.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,28126.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +346,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2023-07-31 14:46:11.000000,2023-04-24 15:04:32,275.0,,355.0,53.0,77.0,82.0,99.0,1740.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,39.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],5533.0,5374.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000,159.0,263575.0,264739.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,74501.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +347,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2023-09-29 23:33:40.000000,2023-09-29 13:19:36,362.0,5.0,240.0,48.0,310.0,232.0,182.0,1652.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,42.0,29,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],252.0,251.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,329311.0,329311.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +348,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2023-10-01 16:55:54.000000,2023-10-01 16:54:49,813.0,28.0,358.0,36.0,831.0,175.0,277.0,1651.0,A Python package to assess and improve fairness of machine learning models.,75.0,29,True,2023-07-28 09:05:39.000,0.9.0,19.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],26.0,2.0,https://pypi.org/project/fairlearn,2023-07-27 16:36:24.000,24.0,389006.0,389843.0,https://anaconda.org/conda-forge/fairlearn,2023-07-28 12:27:51.245,29306.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +349,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2023-09-14 02:29:45.000000,2023-09-14 02:29:42,410.0,4.0,269.0,59.0,87.0,21.0,95.0,1601.0,ffn - a financial function library for Python.,30.0,29,True,2023-05-23 20:33:00.695,0.3.7,28.0,ffn,conda-forge/ffn,,,,404.0,374.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000,30.0,158088.0,158273.0,https://anaconda.org/conda-forge/ffn,2023-06-15 20:53:40.904,5569.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +350,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2023-10-12 00:14:43.000000,2023-10-12 00:14:34,799.0,117.0,89.0,20.0,308.0,62.0,182.0,1436.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,39.0,29,True,2023-09-29 22:36:26.000,0.11.0,44.0,equinox,,,,['jax'],283.0,250.0,https://pypi.org/project/equinox,2023-09-29 22:36:26.000,33.0,20915.0,20915.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +351,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2023-10-10 16:21:26.000000,2023-10-10 16:21:26,1225.0,3.0,131.0,31.0,95.0,38.0,229.0,1416.0,Statistical package in Python based on Pandas.,43.0,29,False,2023-01-02 16:01:44.953,0.5.3,39.0,pingouin,conda-forge/pingouin,,,,1539.0,1485.0,https://pypi.org/project/pingouin,2023-01-02 16:01:44.953,54.0,82033.0,83877.0,https://anaconda.org/conda-forge/pingouin,2023-06-16 16:12:34.261,106985.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +352,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2023-10-11 02:15:19.000000,2023-10-11 02:15:18,1365.0,23.0,266.0,74.0,103.0,34.0,52.0,1213.0,Model analysis tools for TensorFlow.,56.0,29,True,2023-08-14 20:20:00.000,0.45.0,56.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",23.0,,https://pypi.org/project/tensorflow-model-analysis,2023-08-14 20:39:41.000,23.0,327283.0,327283.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +353,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2023-10-11 14:27:26.000000,2023-10-10 19:45:54,1005.0,66.0,103.0,25.0,113.0,24.0,50.0,1183.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",22.0,29,True,2023-10-05 02:21:28.000,1.4.1,33.0,imodels,,,,,55.0,55.0,https://pypi.org/project/imodels,,,77858.0,77858.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +354,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2023-10-11 22:37:43.000000,2023-10-11 22:37:41,386.0,15.0,177.0,24.0,30.0,3.0,129.0,1097.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,29,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],430.0,420.0,https://pypi.org/project/prince,2023-10-11 22:35:06.000,10.0,71992.0,72355.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,17101.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +355,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,454.0,44.0,176.0,93.0,102.0,1028.0,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1572.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,1572.0,5505946.0,5538810.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2103299.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +356,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2023-10-05 10:43:01.000000,2023-09-21 13:38:15,9998.0,17.0,212.0,34.0,1385.0,169.0,335.0,999.0,Computations and statistics on manifolds with geometric structures.,83.0,29,True,2023-08-30 05:36:10.000,2.7.0,22.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,82.0,82.0,https://pypi.org/project/geomstats,,,1727.0,1835.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,1742.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +357,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2023-10-12 02:00:52.000000,2023-10-11 23:03:47,1827.0,146.0,250.0,21.0,2100.0,81.0,224.0,983.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,38.0,29,True,2023-09-05 14:05:47.000,0.30.0,48.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",71.0,68.0,https://pypi.org/project/raiwidgets,2023-08-30 17:31:07.000,3.0,5512.0,5512.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +358,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2023-10-06 09:43:40.000000,2023-10-06 09:43:40,488.0,3.0,120.0,31.0,126.0,25.0,73.0,838.0,Python bindings and utilities for GeoJSON.,54.0,29,True,2023-02-16 01:19:03.498,3.0.1,30.0,geojson,conda-forge/geojson,,,,16748.0,15502.0,https://pypi.org/project/geojson,2023-01-26 16:04:02.467,1246.0,1231759.0,1240066.0,https://anaconda.org/conda-forge/geojson,2023-06-16 13:15:38.240,755961.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +359,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2023-09-12 21:18:01.000000,2023-09-12 21:18:01,657.0,14.0,98.0,13.0,92.0,66.0,60.0,800.0,A Python nearest neighbor descent for approximate nearest neighbors.,26.0,29,True,2023-04-20 15:29:00.655,0.5.10,29.0,pynndescent,conda-forge/pynndescent,,,,4537.0,4478.0,https://pypi.org/project/pynndescent,2022-10-31 17:20:00.872,59.0,943342.0,975269.0,https://anaconda.org/conda-forge/pynndescent,2023-06-16 16:15:32.587,1660213.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +360,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 15:47:02.000,2023-09-27 17:45:05.000000,2023-09-27 17:45:03,926.0,13.0,151.0,48.0,81.0,37.0,141.0,733.0,Library for exploring and validating machine learning data.,25.0,29,True,2023-08-14 06:29:46.000,1.14.0,44.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",772.0,742.0,https://pypi.org/project/tensorflow-data-validation,2023-08-14 06:58:23.000,30.0,366915.0,366922.0,,,,,,,,3.0,470.0,,,,,,,,,,,,,,,,,, +361,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2023-10-12 11:05:25.000000,2023-10-12 10:55:33,2931.0,79.0,101.0,15.0,229.0,12.0,114.0,694.0,Python bindings for MPI.,26.0,29,True,2023-10-04 09:04:51.000,3.1.5,27.0,mpi4py,conda-forge/mpi4py,,,,705.0,,https://pypi.org/project/mpi4py,2023-10-04 09:04:51.000,705.0,163726.0,224503.0,https://anaconda.org/conda-forge/mpi4py,2023-09-23 07:24:06.052,2172680.0,,,,,2.0,16596.0,,,,,,,,,,,,,,,,,, +362,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2023-06-14 00:38:14.000000,2022-11-08 22:11:16,98.0,,1700.0,200.0,68.0,96.0,34.0,9393.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,28,True,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,9.0,1.0,https://pypi.org/project/english-words,2023-01-06 00:05:02.564,8.0,651952.0,651952.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +363,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2023-10-06 08:13:53.418000,2023-01-27 13:12:44,652.0,,964.0,145.0,93.0,73.0,304.0,5983.0,A Python scikit for building and analyzing recommender systems.,45.0,28,True,2022-09-23 17:17:00.724,1.1.3,11.0,scikit-surprise,conda-forge/scikit-surprise,,,,50.0,,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,50.0,138661.0,147367.0,https://anaconda.org/conda-forge/scikit-surprise,2023-10-06 08:13:53.418,339549.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +364,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2023-01-19 00:37:33.000000,2023-01-19 00:37:33,900.0,,1198.0,156.0,950.0,60.0,781.0,5639.0,Gluon CV Toolkit.,118.0,28,True,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],79.0,18.0,https://pypi.org/project/gluoncv,2022-07-07 09:00:54.000,61.0,47527.0,47527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +365,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2023-10-03 15:08:28.000000,2018-07-25 01:28:08,1796.0,,780.0,277.0,438.0,221.0,328.0,4800.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,28,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],340.0,300.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,40.0,284.0,284.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,, +366,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2023-10-06 14:14:53.000000,2023-10-05 16:17:35,6152.0,32.0,507.0,153.0,1895.0,292.0,1322.0,4238.0,ArrayFire: a general purpose GPU library.,88.0,28,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,7.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,7.0,956.0,1001.0,,,,,,,,2.0,4572.0,,,,,,,,,,,,,,,,,, +367,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2023-10-09 22:54:39.000000,2023-09-22 16:55:47,1018.0,1.0,440.0,221.0,713.0,175.0,325.0,4204.0,Model interpretability and understanding for PyTorch.,102.0,28,True,2022-12-28 01:14:50.000,0.6.0,9.0,captum,conda-forge/captum,,,['pytorch'],46.0,,https://pypi.org/project/captum,2022-12-27 23:25:01.082,46.0,134969.0,135710.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,16310.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +368,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2023-07-17 02:18:14.000000,2022-12-25 20:03:53,522.0,,697.0,177.0,79.0,8.0,269.0,4029.0,A python wrapper for Alpha Vantage API for financial data.,42.0,28,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,433.0,404.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,29.0,25390.0,25556.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,5499.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +369,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2023-08-21 13:36:56.000000,2021-05-10 18:34:53,57.0,,404.0,39.0,55.0,118.0,43.0,3870.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],11110.0,11004.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,106.0,126934.0,126934.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +370,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,971.0,219.0,408.0,140.0,402.0,3848.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1271.0,1011.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,260.0,1713.0,1713.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +371,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2023-06-16 19:28:08.623000,2023-02-17 16:34:52,3273.0,,509.0,121.0,361.0,67.0,728.0,3832.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,28,True,,,12.0,dedupe,conda-forge/dedupe,,,,295.0,295.0,https://pypi.org/project/dedupe,,,70202.0,72017.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,39940.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +372,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2023-06-16 13:24:02.087000,2023-02-26 20:07:33,189.0,,455.0,72.0,37.0,9.0,121.0,3664.0,Missing data visualization module for Python.,18.0,28,True,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,13326.0,13188.0,https://pypi.org/project/missingno,2022-02-27 20:39:36.000,138.0,374007.0,378097.0,https://anaconda.org/conda-forge/missingno,2023-06-16 13:24:02.087,306750.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +373,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2023-08-11 07:20:07.000000,2023-08-11 07:20:07,437.0,4.0,505.0,114.0,83.0,16.0,98.0,3257.0,Module for automatic summarization of text documents and HTML pages.,28.0,28,True,2022-10-23 16:40:03.000,0.11.0,15.0,sumy,conda-forge/sumy,,,,2200.0,2200.0,https://pypi.org/project/sumy,,,26472.0,26713.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,6763.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +374,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2023-10-11 07:09:12.000000,2023-09-22 20:27:40,1342.0,173.0,329.0,72.0,1223.0,42.0,76.0,3220.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,34.0,28,True,2023-09-22 20:32:27.000,1.0.1,8.0,lit-nlp,conda-forge/lit-nlp,,,,24.0,24.0,https://pypi.org/project/lit-nlp,,,2952.0,4701.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,64724.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +375,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2023-10-09 12:07:34.000000,2023-10-09 12:07:05,1190.0,11.0,396.0,83.0,52.0,56.0,200.0,3200.0,A library of reinforcement learning components and agents.,84.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],172.0,169.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1059.0,1276.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,7617.0,,,,,2.0,,,,,,,,google-deepmind/acme,,,,,,,,,,, +376,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2023-09-25 11:28:13.000000,2022-01-25 17:32:20,4123.0,,357.0,80.0,62.0,151.0,186.0,3032.0,a library for audio and music analysis.,24.0,28,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,428.0,401.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,27.0,3299.0,11279.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,630485.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +377,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2023-09-14 20:07:18.000000,2021-10-29 06:15:49,2535.0,,412.0,65.0,932.0,315.0,745.0,2782.0,StellarGraph - Machine Learning on Graphs.,36.0,28,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],241.0,233.0,https://pypi.org/project/stellargraph,2018-09-14 03:43:24.000,8.0,6473.0,6473.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +378,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2023-09-26 21:01:12.000000,2023-09-26 21:01:10,548.0,8.0,468.0,97.0,43.0,82.0,240.0,2671.0,Learning to Rank in TensorFlow.,33.0,28,True,2023-08-11 17:56:48.000,0.5.3,22.0,tensorflow_ranking,,,,['tensorflow'],13.0,,https://pypi.org/project/tensorflow_ranking,2023-08-11 17:56:48.000,13.0,100210.0,100210.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +379,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2023-10-11 12:01:23.000000,2023-10-11 12:01:14,1463.0,82.0,562.0,42.0,27.0,3.0,315.0,2372.0,An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.,28.0,28,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],19.0,19.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,431.0,431.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +380,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2023-09-13 13:50:05.000000,2018-08-19 12:37:47,130.0,,275.0,66.0,59.0,20.0,39.0,2357.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:21:01.000,0.3.7,17.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],3933.0,3933.0,https://pypi.org/project/scikit-plot,,,410975.0,413165.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,164301.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +381,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2023-09-23 18:51:05.000000,2023-08-22 16:20:29,468.0,16.0,362.0,62.0,148.0,7.0,91.0,2051.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,28,True,2023-08-07 19:52:09.000,3.2.5,21.0,pytextrank,,,,,490.0,473.0,https://pypi.org/project/pytextrank,2023-08-07 19:52:09.000,17.0,48811.0,48811.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +382,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2023-10-12 14:44:35.000000,2023-09-16 22:02:16,1331.0,39.0,196.0,50.0,225.0,146.0,147.0,1921.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",39.0,28,True,2023-09-07 00:24:12.000,0.29.5,160.0,graphistry,,,,['jupyter'],106.0,101.0,https://pypi.org/project/graphistry,2023-09-07 00:24:12.000,5.0,1716.0,1716.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +383,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,154.0,25.0,81.0,41.0,34.0,1582.0,A Python package for time series classification.,14.0,28,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,492.0,473.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,134399.0,135282.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,21192.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +384,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2023-10-12 14:53:41.000000,2023-10-12 14:50:48,1318.0,121.0,279.0,29.0,1332.0,130.0,93.0,1544.0,Pytorch domain library for recommendation systems.,175.0,28,True,2023-10-05 17:21:59.000,0.5.0,77.0,torchrec-nightly-cpu,,,,,66.0,66.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,72.0,72.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +385,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-09-26 07:49:38.000000,2023-09-26 07:34:28,1378.0,16.0,309.0,28.0,375.0,89.0,120.0,1542.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,28,True,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],47.0,45.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,2.0,1366.0,1366.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +386,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2023-10-10 05:06:29.000000,2023-09-06 00:50:44,697.0,3.0,294.0,43.0,349.0,71.0,186.0,1492.0,Training PyTorch models with differential privacy.,73.0,28,True,2023-03-24 16:01:05.890,1.4.0,20.0,opacus,conda-forge/opacus,,,['pytorch'],685.0,668.0,https://pypi.org/project/opacus,2022-05-06 09:43:18.000,17.0,29845.0,30409.0,https://anaconda.org/conda-forge/opacus,2023-06-18 08:40:32.992,11819.0,,,,,2.0,99.0,,,,,,,,,,,,,,,,,, +387,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2023-10-10 21:15:24.000000,2023-10-10 21:15:24,946.0,6.0,567.0,106.0,280.0,11.0,300.0,1445.0,Execute Python code on the fly and display results in Tableau visualizations:.,49.0,28,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,144.0,142.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,11938.0,11993.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4359.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +388,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 08:29:47.000,2023-10-09 07:21:10.000000,2023-09-29 00:13:39,295.0,9.0,257.0,50.0,184.0,54.0,120.0,1348.0,Metric learning algorithms in Python.,22.0,28,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],315.0,303.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,12.0,8209.0,8478.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,10499.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +389,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-10-05 01:24:33.000000,2023-10-05 01:24:32,851.0,12.0,260.0,73.0,481.0,38.0,198.0,1244.0,Underthesea - Vietnamese NLP Toolkit.,18.0,28,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,,838.0,812.0,https://pypi.org/project/underthesea,2023-09-22 23:50:49.000,26.0,8361.0,8427.0,,,,,,,,2.0,5132.0,,,,,,,,,,,,,,,,,, +390,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2023-06-16 19:18:39.600000,2023-04-20 04:36:19,526.0,,400.0,52.0,37.0,17.0,138.0,1183.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,28,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2294.0,2261.0,https://pypi.org/project/kmodes,2022-04-14 21:22:39.000,33.0,155416.0,156288.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,36641.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +391,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2023-10-12 13:28:53.000000,2023-10-12 13:28:33,2740.0,79.0,238.0,34.0,192.0,34.0,482.0,1163.0,Python interface for igraph.,71.0,28,False,2023-09-12 20:44:11.000,0.10.8,24.0,python-igraph,conda-forge/igraph,,,,,,https://pypi.org/project/python-igraph,,,274265.0,293362.0,https://anaconda.org/conda-forge/igraph,2023-10-04 20:43:38.652,465362.0,,,,,2.0,561832.0,,,,,,,,,,,-5.0,,,,,,, +392,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2023-10-03 14:28:55.000000,2023-06-06 09:46:40,415.0,,319.0,40.0,298.0,22.0,200.0,1146.0,A research toolkit for particle swarm optimization in Python.,45.0,28,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,320.0,306.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,14.0,8996.0,8996.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +393,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2023-10-09 02:38:39.000000,2020-10-14 13:22:39,167.0,,336.0,71.0,84.0,27.0,26.0,1125.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,28,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1361.0,1217.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,144.0,20723.0,21087.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,24815.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +394,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2023-06-16 16:20:28.705000,2021-02-12 19:04:59,2079.0,,242.0,40.0,36.0,66.0,590.0,1108.0,"pyclustering is a Python, C++ data mining library.",26.0,28,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,584.0,550.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,34.0,80395.0,81643.0,https://anaconda.org/conda-forge/pyclustering,2023-06-16 16:20:28.705,57202.0,,,,,3.0,475.0,,,,,,,,,,,,,,,,,, +395,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2023-10-10 20:36:27.000000,2023-10-10 20:36:22,1008.0,49.0,203.0,24.0,119.0,24.0,182.0,987.0,Survival analysis built on top of scikit-learn.,18.0,28,False,2023-10-08 13:11:29.000,0.22.1,27.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],361.0,350.0,https://pypi.org/project/scikit-survival,2023-10-08 13:11:29.000,11.0,44516.0,47144.0,https://anaconda.org/conda-forge/scikit-survival,2023-06-11 18:58:18.077,60462.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +396,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-10-06 08:58:18.000000,2023-10-05 12:53:35,137.0,10.0,106.0,22.0,101.0,35.0,72.0,962.0,Python 3.8+ toolbox for submitting jobs to Slurm.,23.0,28,True,2023-10-05 12:58:13.000,1.5.0,22.0,submitit,conda-forge/submitit,,,,1659.0,1644.0,https://pypi.org/project/submitit,2023-10-05 12:58:13.000,15.0,164467.0,165290.0,https://anaconda.org/conda-forge/submitit,2023-10-05 15:20:30.342,31284.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +397,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 13:05:44.000,2023-08-25 16:48:20.000000,2023-04-19 21:43:19,547.0,,166.0,35.0,85.0,88.0,122.0,870.0,A scikit-learn based module for multi-label et. al. classification.,28.0,28,True,2018-12-10 16:24:47.000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],1311.0,1287.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,24.0,81351.0,81351.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +398,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 15:56:06.000,2023-06-27 23:50:02.000000,2023-03-24 22:04:13,811.0,,241.0,41.0,502.0,266.0,252.0,869.0,Scalable Machine Learning with Dask.,77.0,28,True,2023-03-24 22:06:04.422,2023.3.24,35.0,dask-ml,conda-forge/dask-ml,,,,947.0,875.0,https://pypi.org/project/dask-ml,2020-05-06 15:02:41.000,72.0,166274.0,176984.0,https://anaconda.org/conda-forge/dask-ml,2023-06-16 13:24:06.152,771125.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +399,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2023-10-12 12:17:12.000000,2023-09-26 15:27:01,15612.0,38.0,359.0,43.0,1604.0,278.0,2949.0,802.0,An open-source application for biological image analysis.,138.0,28,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,21.0,20.0,https://pypi.org/project/cellprofiler,2023-08-14 19:14:28.000,1.0,552.0,602.0,,,,,,,,3.0,5872.0,,,,,,,,,,,,,,,,,, +400,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2023-10-08 11:25:26.000000,2023-09-27 14:05:27,2433.0,241.0,86.0,11.0,468.0,13.0,82.0,668.0,Time series forecasting with scikit-learn models.,8.0,28,True,2023-09-27 09:35:25.000,0.10.1,24.0,skforecast,,,,['sklearn'],198.0,192.0,https://pypi.org/project/skforecast,2023-09-26 12:13:41.000,6.0,32597.0,32597.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +401,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2023-10-12 06:14:14.000000,2023-10-02 08:27:31,778.0,13.0,70.0,27.0,346.0,106.0,221.0,513.0,"Simple, concise geographical visualization in Python.",29.0,28,True,2023-07-20 16:57:49.000,1.10.1,30.0,geoviews,conda-forge/geoviews,,,,776.0,776.0,https://pypi.org/project/geoviews,,,6983.0,12319.0,https://anaconda.org/conda-forge/geoviews,2023-07-21 08:46:51.180,197454.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +402,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 21:15:41.000,2023-09-25 19:44:09.000000,2019-12-05 08:17:22,46.0,,211.0,23.0,17.0,45.0,23.0,423.0,scikit-learn inspired API for CRFsuite.,6.0,28,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7390.0,7110.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,280.0,504293.0,505230.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,39372.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +403,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000,2023-10-06 15:47:51.000000,2023-10-06 15:47:51,6642.0,195.0,132.0,37.0,377.0,45.0,116.0,352.0,Neuroimaging in Python FMRI analysis package.,67.0,28,True,2021-03-29 16:34:34.000,0.5.0,7.0,nipy,conda-forge/nipy,,,,260.0,210.0,https://pypi.org/project/nipy,2021-03-29 16:34:34.000,50.0,2135.0,3542.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,105537.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +404,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2023-10-12 14:02:18.000000,2023-10-11 14:27:55,1911.0,283.0,728.0,95.0,1947.0,138.0,601.0,13232.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",70.0,27,True,2023-10-11 18:42:02.000,1.6.1,57.0,,,,,,,,,,,,50.0,,,,,,,,3.0,1523.0,,,,,,,,,,,,,,,,,, +405,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2023-06-29 16:28:26.000000,2023-06-29 16:28:24,325.0,,1387.0,439.0,46.0,98.0,87.0,10220.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,27,True,2022-09-21 20:20:42.649,4.0.6,44.0,dopamine-rl,,,,['tensorflow'],54.0,18.0,https://pypi.org/project/dopamine-rl,2022-09-21 20:20:42.649,36.0,32420.0,32420.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +406,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2023-07-09 00:54:49.000000,2023-04-19 16:47:52,581.0,,1153.0,351.0,79.0,47.0,231.0,7818.0,StarCraft II Learning Environment.,39.0,27,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,632.0,606.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,1578.0,1992.0,,,,,,,,3.0,30654.0,,,,,,,google-deepmind/pysc2,,,,,,,,,,, +407,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 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1500.0,131.0,51.0,155.0,141.0,7546.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],43.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,43.0,133894.0,212866.0,,,,,,,,2.0,3395832.0,,,,,,,,,,,5.0,,,,,,, +408,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-02-18 07:58:21.000000,2023-02-18 07:58:21,3353.0,,1642.0,462.0,698.0,32.0,441.0,7239.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,True,2022-02-15 02:05:47.000,2.2.5,83.0,tensorlayer,,,,['tensorflow'],40.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,40.0,1356.0,1375.0,,,,,,,,2.0,1619.0,,,,,,,,,,,,,,,,,, +409,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,AGPL-3.0,2013-04-05 23:14:27.000,2023-09-01 15:42:16.000000,2023-08-31 21:49:25,6626.0,1.0,1556.0,625.0,2111.0,453.0,1338.0,6328.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,27,False,2018-06-01 15:12:12.000,1.0.5,47.0,nupic,,,,,18.0,18.0,https://pypi.org/project/nupic,,,1908.0,1908.0,,,,,,,,3.0,1.0,,,,,,,numenta/nupic-legacy,,,,,,,,,,, +410,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-09-21 06:50:45.000000,2020-05-03 07:13:22,108.0,,609.0,140.0,31.0,66.0,53.0,5464.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,27,False,,,18.0,flashtext,conda-forge/flashtext,,,,1388.0,1342.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,46.0,973786.0,974242.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,17802.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +411,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2023-06-16 19:25:16.902000,2022-04-01 13:57:36,131.0,,952.0,144.0,30.0,46.0,77.0,4091.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,27,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,7524.0,7335.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,189.0,185046.0,185470.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,13161.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +412,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2023-09-19 00:32:03.000000,2022-08-06 21:47:18,182.0,,397.0,66.0,56.0,86.0,55.0,3998.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,27,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,596.0,592.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,4.0,97717.0,97717.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +413,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,282.0,227.0,12.0,355.0,3858.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,True,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,465981.0,466417.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,20067.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +414,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2023-10-12 10:41:02.000000,2023-09-27 12:29:32,928.0,3.0,719.0,85.0,187.0,68.0,635.0,3750.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",47.0,27,True,2023-09-27 14:17:30.000,78,71.0,opencv-python,,,,,,,https://pypi.org/project/opencv-python,,,10506976.0,10506976.0,,,,,,,,3.0,,,,,,,,,,,,-6.0,,,,,,, +415,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2023-09-27 12:04:50.000000,2023-09-01 03:04:11,1137.0,2.0,684.0,60.0,1009.0,145.0,734.0,3736.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",85.0,27,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],90.0,88.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,2.0,4864.0,4864.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +416,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2023-08-14 20:14:15.000000,2023-08-14 20:14:08,2108.0,6.0,538.0,146.0,237.0,33.0,631.0,3249.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,83.0,27,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],431.0,429.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,2.0,596.0,596.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +417,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2023-10-09 12:39:00.000000,2023-08-26 22:58:04,470.0,1.0,453.0,35.0,491.0,6.0,,3097.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,31.0,27,True,2023-05-15 21:12:01.327,0.11.14,100.0,sahi,conda-forge/sahi,,,,680.0,671.0,https://pypi.org/project/sahi,2022-06-25 20:18:21.000,9.0,133348.0,135982.0,https://anaconda.org/conda-forge/sahi,2023-06-16 19:27:36.658,49212.0,,,,,3.0,18700.0,,,,,,,,,,,,,,,,,, +418,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,455.0,84.0,245.0,61.0,154.0,2987.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,27,True,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,163.0,161.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,2.0,22259.0,22260.0,,,,,,,,3.0,74.0,,,,,,,,,,,,,,,,,, +419,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2023-10-10 07:55:05.000000,2023-10-10 07:55:01,3447.0,43.0,329.0,157.0,1146.0,20.0,59.0,2649.0,Neural Network Libraries.,73.0,27,True,2023-07-14 02:40:27.000,1.36.0,71.0,nnabla,,,,,,,https://pypi.org/project/nnabla,,,3380.0,3389.0,,,,,,,,3.0,708.0,,,,,,,,,,,,,,,,,, +420,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2023-06-16 16:15:26.623000,2023-05-16 07:26:21,1020.0,,409.0,129.0,129.0,189.0,245.0,2564.0,PYthon svg GrAph plotting Library.,73.0,27,False,2021-11-24 21:09:00.501,3.0.0,76.0,pygal,conda-forge/pygal,,,,635.0,,https://pypi.org/project/pygal,2021-11-24 21:09:00.501,635.0,139726.0,140385.0,https://anaconda.org/conda-forge/pygal,2023-06-16 16:15:26.623,34295.0,,,,,2.0,,,,,,,,,,,,4.0,,,,,,, +421,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2023-06-16 19:20:41.396000,2022-05-25 09:55:55,1696.0,,413.0,44.0,347.0,32.0,344.0,2550.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",32.0,27,False,2022-04-02 15:26:45.000,3.3.3,70.0,foolbox,conda-forge/foolbox,,,,536.0,522.0,https://pypi.org/project/foolbox,2022-04-02 15:26:45.000,14.0,1397.0,1705.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,12030.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +422,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2023-10-12 07:52:15.000000,2023-07-23 14:42:27,191.0,4.0,440.0,36.0,237.0,52.0,261.0,2297.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,27,True,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,38695.0,38948.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-06-16 19:28:15.390,5573.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +423,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2023-06-01 22:20:25.000000,2023-06-01 22:10:29,1131.0,,335.0,44.0,57.0,64.0,200.0,2293.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,27,True,2023-06-01 22:20:25.000,1.3,34.0,spektral,,,,['tensorflow'],240.0,234.0,https://pypi.org/project/spektral,2023-06-01 22:17:00.684,6.0,4632.0,4632.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +424,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,317.0,66.0,38.0,96.0,160.0,2165.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,True,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],350.0,326.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,24.0,11489.0,11489.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +425,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 16:48:48.000,2023-09-30 17:24:12.000000,2023-09-30 17:24:05,635.0,30.0,234.0,67.0,31.0,60.0,90.0,2108.0,Fast and Easy Infinite Neural Networks in Python.,27.0,27,True,2023-08-25 00:01:21.000,0.6.4,30.0,neural-tangents,,,,,82.0,81.0,https://pypi.org/project/neural-tangents,2023-08-24 23:48:46.000,1.0,2160.0,2168.0,,,,,,,,3.0,328.0,,,,,,,,,,,,,,,,,, +426,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2023-09-09 21:39:29.000000,2021-07-09 11:06:18,56.0,,484.0,40.0,24.0,66.0,38.0,2049.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,27,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],4151.0,4100.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,51.0,42902.0,43138.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,10416.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +427,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2023-10-11 15:51:39.000000,2023-10-11 01:43:52,846.0,32.0,432.0,62.0,308.0,113.0,91.0,1816.0,Library for training machine learning models with privacy for training data.,55.0,27,True,2023-10-11 15:51:39.000,0.8.12,30.0,tensorflow-privacy,,,,['tensorflow'],14.0,,https://pypi.org/project/tensorflow-privacy,2023-10-11 15:51:39.000,14.0,14967.0,14969.0,,,,,,,,2.0,120.0,,,,,,,,,,,,,,,,,, +428,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-08-12 04:20:17.000000,2022-08-31 09:45:24,594.0,,234.0,55.0,444.0,3.0,402.0,1691.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,27,False,2021-06-10 09:45:12.000,0.8.0,22.0,farm,conda-forge/farm,,,['pytorch'],208.0,208.0,https://pypi.org/project/farm,,,3122.0,3221.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,2994.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +429,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2023-06-16 16:16:35.554000,2022-08-31 01:52:51,509.0,,308.0,104.0,49.0,7.0,151.0,1567.0,Distributed Deep learning with Keras & Spark.,27.0,27,False,2023-03-15 02:28:00.464,4.1.0,38.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",76.0,73.0,https://pypi.org/project/elephas,2023-03-04 14:29:00.451,3.0,60737.0,60995.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,12947.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +430,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,318.0,74.0,742.0,54.0,168.0,1476.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,399.0,369.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,30.0,1613.0,1613.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +431,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-10-06 01:33:53.000000,2023-05-16 13:01:43,657.0,,245.0,49.0,311.0,95.0,16.0,1468.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,27,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],890.0,857.0,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,33.0,18758.0,18758.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +432,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2023-07-21 21:17:07.584000,2023-07-04 11:04:34,170.0,,179.0,30.0,16.0,2.0,76.0,1456.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",14.0,27,True,2023-07-04 11:06:01.504,0.1.730,74.0,autoviz,conda-forge/autoviz,,,,562.0,555.0,https://pypi.org/project/autoviz,2022-10-03 01:43:19.267,7.0,161643.0,163272.0,https://anaconda.org/conda-forge/autoviz,2023-07-21 21:17:07.584,42372.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +433,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2023-09-20 03:33:51.000000,2023-08-22 14:21:42,580.0,45.0,292.0,52.0,115.0,45.0,29.0,1409.0,Interpretability and explainability of data and machine learning models.,41.0,27,True,2023-07-01 11:47:13.000,0.3.0,3.0,aix360,,,,,84.0,84.0,https://pypi.org/project/aix360,,,610.0,610.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +434,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2023-09-29 10:10:16.000000,2023-06-07 07:35:59,3033.0,,118.0,37.0,325.0,11.0,187.0,1397.0,Multi-class confusion matrix library in Python.,17.0,27,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,259.0,243.0,https://pypi.org/project/pycm,2022-04-27 15:18:44.000,16.0,35274.0,35274.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +435,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2023-10-12 14:22:15.000000,2023-10-12 14:22:11,6115.0,133.0,253.0,47.0,2375.0,307.0,1314.0,1387.0,cuGraph - RAPIDS Graph Analytics Library.,104.0,27,True,2023-10-11 18:08:26.000,23.10.00,32.0,cugraph,conda-forge/libcugraph,,,,4.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,2.0,132.0,695.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,16911.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +436,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2023-10-05 17:24:24.000000,2023-09-05 02:07:57,4200.0,4.0,285.0,84.0,638.0,14.0,605.0,1192.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,27,True,2023-08-01 02:38:24.000,23.07,33.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2023-08-01 02:39:38.000,36.0,20966.0,34307.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,520319.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +437,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2023-10-03 17:03:46.000000,2023-09-10 06:51:22,1752.0,6.0,181.0,42.0,255.0,59.0,211.0,1157.0,Python audio and music signal processing library.,20.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,401.0,368.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,33.0,2712.0,2712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +438,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2023-10-12 12:00:16.000000,2023-10-12 08:16:08,467.0,14.0,103.0,22.0,306.0,30.0,248.0,1064.0,Extra blocks for scikit-learn pipelines.,60.0,27,True,2023-07-18 19:07:59.000,0.6.15,41.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],124.0,117.0,https://pypi.org/project/scikit-lego,2023-07-18 19:02:01.000,7.0,36226.0,37285.0,https://anaconda.org/conda-forge/scikit-lego,2023-07-19 07:17:55.286,43438.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +439,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2023-10-11 14:06:30.000000,2023-10-11 14:04:33,777.0,22.0,107.0,32.0,379.0,67.0,291.0,941.0,BAyesian Model-Building Interface (Bambi) in Python.,35.0,27,True,2023-07-02 15:44:00.377,0.12.0,27.0,bambi,conda-forge/bambi,,,,97.0,89.0,https://pypi.org/project/bambi,2023-07-02 15:44:00.377,8.0,17244.0,18020.0,https://anaconda.org/conda-forge/bambi,2023-07-02 20:28:20.184,26395.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +440,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2023-10-09 20:45:50.000000,2023-03-10 19:47:48,1140.0,,236.0,62.0,244.0,22.0,340.0,920.0,Search and download Copernicus Sentinel satellite images.,43.0,27,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,535.0,496.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,39.0,14123.0,14850.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,26070.0,,,,,3.0,261.0,,,,,,,,,,,,,,,,,, +441,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,185.0,39.0,173.0,61.0,174.0,897.0,A Jupyter - Three.js bridge.,30.0,27,True,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],94.0,27.0,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,56.0,62389.0,71833.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,509861.0,,,,,3.0,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,3716.0,2023-02-20 00:16:17.277,11.0,,,,,,,,,,,, +442,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2023-07-26 22:41:29.989000,2023-06-09 22:11:37,1299.0,,149.0,49.0,56.0,21.0,65.0,812.0,Computer Vision in Python.,34.0,27,True,2022-06-28 14:25:55.000,1.4.13,59.0,mahotas,conda-forge/mahotas,,,,1252.0,1125.0,https://pypi.org/project/mahotas,2022-06-28 08:11:26.000,127.0,9126.0,18775.0,https://anaconda.org/conda-forge/mahotas,2023-07-26 22:41:29.989,385961.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +443,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2023-10-11 15:00:39.000000,2023-09-27 01:26:31,1240.0,534.0,40.0,12.0,235.0,20.0,41.0,807.0,"Fastest Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",21.0,27,True,2023-09-25 14:37:09.838,2.6.0,79.0,usearch,,unum/usearch,,,22.0,19.0,https://pypi.org/project/usearch,2023-09-25 16:54:10.000,1.0,33105.0,35668.0,,,,https://hub.docker.com/r/unum/usearch,2023-09-25 14:37:16.458437,1.0,41.0,3.0,241.0,,usearch,https://www.npmjs.com/package/usearch,2510.0,2023-09-25 14:37:09.838,2.0,,,,,,,,,,,, +444,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2023-10-12 04:21:39.000000,2023-09-25 07:43:21,1269.0,12.0,122.0,26.0,405.0,7.0,120.0,748.0,A Comparative Framework for Multimodal Recommender Systems.,17.0,27,True,2023-07-22 18:22:54.000,1.16.0,52.0,cornac,conda-forge/cornac,,,,190.0,174.0,https://pypi.org/project/cornac,2023-07-22 18:42:55.000,16.0,104035.0,112093.0,https://anaconda.org/conda-forge/cornac,2023-07-25 03:34:46.928,322359.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +445,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 21:02:09.000,2023-10-11 18:46:28.000000,2023-10-11 18:46:27,815.0,42.0,123.0,29.0,82.0,27.0,75.0,561.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,18.0,27,True,2023-08-10 00:37:12.000,1.14.0,42.0,ml-metadata,,,,,378.0,356.0,https://pypi.org/project/ml-metadata,2023-08-10 00:37:12.000,22.0,107479.0,107517.0,,,,,,,,3.0,2118.0,,,,,,,,,,,,,,,,,, +446,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2023-10-11 19:21:00.000000,2023-10-11 19:21:00,515.0,12.0,150.0,31.0,167.0,8.0,97.0,526.0,Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive..,28.0,27,True,2023-06-20 08:57:52.000,0.5,11.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],297.0,280.0,https://pypi.org/project/pyriemann,2022-07-17 13:53:18.565,17.0,25939.0,26206.0,https://anaconda.org/conda-forge/pyriemann,2023-06-20 10:39:38.006,4273.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +447,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2023-10-12 01:09:48.000000,2023-10-12 01:08:21,181.0,41.0,71.0,21.0,65.0,35.0,50.0,519.0,pyspark methods to enhance developer productivity.,23.0,27,True,2023-02-17 21:55:30.000,0.10.0,13.0,quinn,,,,['spark'],77.0,71.0,https://pypi.org/project/quinn,2023-02-17 21:54:00.812,6.0,898433.0,898433.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,, +448,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4247.0,1262.0,557.0,750.0,2543.0,17409.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,26,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,,,https://pypi.org/project/cntk,,,457.0,610.0,,,,,,,,3.0,14244.0,,,,,,,,,,,-4.0,,,,,,, +449,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2023-10-12 12:39:44.000000,2023-10-12 07:20:40,1894.0,1.0,848.0,216.0,453.0,57.0,263.0,14145.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,26,True,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,43510.0,43913.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-08-11 14:23:28.113587,14.0,20588.0,3.0,,,,,,,,,,,,,,,,,,, +450,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2023-08-29 14:30:03.000000,2023-03-29 01:15:47,1614.0,,808.0,146.0,1556.0,114.0,125.0,7743.0,Trax Deep Learning with Clear Code and Speed.,78.0,26,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,122.0,121.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,4356.0,4356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +451,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2023-10-04 22:41:52.749000,,,,700.0,,,511.0,,7109.0,NumPy & SciPy for GPU.,257.0,26,True,2023-08-08 06:14:47.000,12.2.0,136.0,cupy,conda-forge/cupy,cupy/cupy,,,200.0,,https://pypi.org/project/cupy,2023-08-08 06:14:47.000,200.0,17782.0,94652.0,https://anaconda.org/conda-forge/cupy,2023-10-04 22:41:52.749,3123160.0,https://hub.docker.com/r/cupy/cupy,2023-08-15 12:32:31.435488,11.0,57828.0,3.0,,,,,,,,,,,,,,,,,,, +452,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1342.0,347.0,14.0,40.0,65.0,6184.0,Python library for processing Chinese text.,8.0,26,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1256.0,1214.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,42.0,5491.0,5491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +453,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2023-10-03 15:31:03.000000,2022-09-22 23:59:07,1084.0,,979.0,185.0,327.0,334.0,292.0,5747.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,26,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,115.0,112.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,329.0,380.0,,,,,,,,2.0,3686.0,,,,,,,,,,,,,,,,,, +454,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2023-10-12 09:46:14.000000,2023-09-20 10:18:52,11547.0,43.0,1521.0,142.0,3373.0,791.0,1017.0,5232.0,An Industrial Grade Federated Learning Framework.,92.0,26,True,2023-09-12 07:58:53.000,1.11.3,46.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +455,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2023-09-20 14:45:40.000000,2023-09-20 14:45:40,248.0,1.0,799.0,51.0,48.0,61.0,106.0,3776.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,16.0,26,True,2023-04-07 19:27:35.000,2.5.3,32.0,facenet-pytorch,,,,['pytorch'],1337.0,1318.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000,19.0,25391.0,40013.0,,,,,,,,3.0,687257.0,,,,,,,,,,,,,,,,,, +456,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2023-10-06 21:46:29.000000,2023-09-23 00:03:34,447.0,5.0,263.0,46.0,437.0,57.0,244.0,3226.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,39.0,26,True,2023-07-12 16:55:59.000,0.4.9,22.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,3.0,,https://pypi.org/project/hummingbird-ml,2020-06-10 22:08:15.000,3.0,12138.0,13290.0,https://anaconda.org/conda-forge/hummingbird-ml,2023-07-12 18:59:37.482,35525.0,,,,,2.0,290.0,,,,,,,,,,,,,,,,,, +457,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,511.0,110.0,73.0,185.0,115.0,3071.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,26,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,123.0,123.0,https://pypi.org/project/xlearn,,,3595.0,3658.0,,,,,,,,3.0,4240.0,,,,,,,,,,,,,,,,,, +458,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2023-09-29 08:59:41.000000,2023-09-20 16:12:35,178.0,3.0,363.0,164.0,82.0,87.0,99.0,3019.0,A deep learning library for video understanding research.,55.0,26,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],7.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,7.0,92548.0,92548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +459,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-06-16 13:22:38.816000,2020-12-08 16:56:38,17588.0,,1020.0,218.0,3648.0,416.0,1110.0,2973.0,Unified and efficient Machine Learning.,248.0,26,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1717.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,128083.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1502.0,3.0,,,,,,,,,shogun,,,,,,,,,, +460,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2023-10-10 02:21:40.000000,2023-10-10 02:21:39,4281.0,57.0,535.0,41.0,981.0,152.0,648.0,2859.0,"A unified, comprehensive and efficient recommendation library.",69.0,26,True,2022-10-05 02:45:00.000,1.1.1,9.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2022-02-25 07:32:53.000,2.0,2678.0,2792.0,https://anaconda.org/aibox/recbole,2023-06-16 19:23:31.659,4014.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +461,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2023-06-16 16:09:06.563000,2020-04-27 18:40:41,522.0,,1007.0,169.0,214.0,42.0,146.0,2835.0,Performance analysis of predictive (alpha) stock factors.,25.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,670.0,652.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,18.0,2398.0,2686.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,19647.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +462,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2023-09-15 03:03:36.000000,2023-09-15 02:31:18,1566.0,18.0,234.0,47.0,2006.0,11.0,635.0,2737.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,33.0,26,True,2023-09-15 03:06:04.000,1.1.2,25.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-09-14 07:31:36.000,,4467.0,4583.0,,,,,,,,3.0,2561.0,,,,,,,,,,,,,,,,,, +463,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2023-09-27 10:24:18.000000,2023-09-27 10:23:17,3417.0,3.0,504.0,109.0,333.0,385.0,648.0,2524.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",79.0,26,False,2015-03-31 16:33:30.000,2.0,19.0,essentia,,,,,525.0,509.0,https://pypi.org/project/essentia,2023-01-11 14:10:02.525,16.0,3923.0,3923.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +464,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2023-10-11 19:24:30.000000,2023-10-11 19:24:30,416.0,7.0,758.0,90.0,263.0,165.0,92.0,2163.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",69.0,26,True,2022-09-03 03:41:16.000,0.5.0,10.0,aif360,conda-forge/aif360,,,,318.0,306.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000,12.0,6580.0,6769.0,https://anaconda.org/conda-forge/aif360,2023-06-16 19:22:49.476,7000.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +465,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2023-10-11 20:56:57.000000,2023-06-01 12:18:23,739.0,,341.0,42.0,42.0,95.0,56.0,2028.0,A modular active learning framework for Python.,20.0,26,True,2023-10-11 20:56:57.000,0.54.3794,308.0,modAL,,,,['sklearn'],19.0,16.0,https://pypi.org/project/modAL,2023-10-11 20:56:57.000,3.0,103267.0,103267.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,, +466,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2023-09-27 23:50:48.000000,2023-07-11 07:11:36,210.0,,225.0,44.0,84.0,17.0,115.0,2002.0,A Python library that helps data scientists to infer causation rather than observing correlation.,35.0,26,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",101.0,98.0,https://pypi.org/project/causalnex,2021-11-11 15:15:32.000,3.0,5198.0,5198.0,,,,,,,,2.0,,,,,,,,mckinsey/causalnex,,,,,,,,,,, +467,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2023-08-06 22:24:12.000000,2022-02-12 02:32:06,1636.0,,158.0,61.0,66.0,65.0,129.0,1789.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,26,False,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,325.0,325.0,https://pypi.org/project/hypertools,,,568.0,568.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,, +468,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 13:50:19.000,2023-10-08 20:12:03.000000,2023-10-08 20:12:02,569.0,11.0,109.0,52.0,441.0,60.0,102.0,1676.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,28.0,26,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,78.0,72.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,6.0,4028.0,4028.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +469,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-05-12 18:37:24.000000,2023-02-03 00:10:35,690.0,,275.0,41.0,494.0,172.0,150.0,1673.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,49.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,146.0,138.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,33377.0,33383.0,,,,,,,,3.0,432.0,,,,,,,,,,,,,,,,,, +470,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2023-10-11 05:46:58.000000,2023-09-22 08:30:27,1443.0,138.0,110.0,29.0,101.0,18.0,20.0,1635.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,26,True,2023-09-10 04:20:57.000,0.4.168,144.0,labml,,,,,111.0,105.0,https://pypi.org/project/labml,2023-09-10 04:20:57.000,6.0,1767.0,1767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +471,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2023-10-12 03:58:18.000000,2023-10-12 02:05:52,690.0,102.0,239.0,49.0,515.0,21.0,61.0,1562.0,A lightweight library for PyTorch training tools and utilities.,101.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],38.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,38.0,5700.0,5700.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +472,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2023-10-08 23:17:48.968000,2023-10-05 18:36:18,1029.0,1.0,164.0,18.0,62.0,24.0,312.0,1359.0,PyTorch Extension Library of Optimized Scatter Operations.,28.0,26,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],77.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,77.0,41349.0,46919.0,https://anaconda.org/conda-forge/pytorch_scatter,2023-10-08 23:17:48.968,222811.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +473,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2023-10-07 11:26:55.000000,2023-10-07 11:26:54,2816.0,22.0,167.0,27.0,658.0,109.0,428.0,1350.0,A Python library for learning and evaluating knowledge graph embeddings.,36.0,26,True,2023-02-22 18:29:02.145,1.10.1,46.0,pykeen,,,,,5.0,,https://pypi.org/project/pykeen,2023-02-22 18:29:02.145,5.0,3417.0,3421.0,,,,,,,,2.0,175.0,,,,,,,,,,,,,,,,,, +474,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2023-08-29 09:18:29.000000,2023-08-29 09:18:29,515.0,3.0,396.0,32.0,43.0,13.0,116.0,1293.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,26.0,26,False,2023-03-02 15:10:38.000,2.3.1,24.0,minisom,,,,,475.0,456.0,https://pypi.org/project/minisom,2022-02-25 07:49:30.000,19.0,25501.0,25501.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +475,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2023-08-21 19:22:07.000000,2023-08-21 19:22:07,680.0,9.0,147.0,25.0,123.0,2.0,126.0,1270.0,"Extensible, parallel implementations of t-SNE.",11.0,26,True,2023-05-24 13:51:37.000,1.0.0,20.0,opentsne,conda-forge/opentsne,,,,665.0,665.0,https://pypi.org/project/opentsne,,,31772.0,35656.0,https://anaconda.org/conda-forge/opentsne,2023-06-16 16:12:36.657,225325.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +476,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2021-10-21 17:50:40.000000,2021-10-21 17:45:17,202.0,,173.0,26.0,35.0,2.0,114.0,1194.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,26,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1480.0,1448.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,32.0,11787.0,11787.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +477,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 21:45:49.000,2023-06-16 13:22:22.238000,2022-12-22 14:52:10,805.0,,142.0,36.0,214.0,109.0,152.0,1185.0,Real-time stream processing for python.,48.0,26,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,461.0,424.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,37.0,16310.0,26323.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,730991.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +478,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2023-09-25 14:05:54.000000,2023-07-30 07:05:58,66.0,1.0,287.0,57.0,62.0,11.0,107.0,1182.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,9.0,26,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,965.0,936.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,29.0,9250.0,9250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +479,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-09-14 09:43:04.000000,2023-09-14 09:37:10,1105.0,3.0,235.0,38.0,66.0,54.0,204.0,1175.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,26,True,2023-09-14 09:43:04.000,2.1.1,7.0,innvestigate,,,,['tensorflow'],110.0,108.0,https://pypi.org/project/innvestigate,2023-09-14 09:43:04.000,2.0,714.0,719.0,,,,,,,,2.0,79.0,,,,,,,,,,,,,,,,,, +480,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-08-15 12:49:01.000000,2023-08-15 12:48:55,206.0,4.0,78.0,33.0,106.0,12.0,18.0,1100.0,A library of reinforcement learning building blocks in JAX.,21.0,26,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],170.0,168.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,2.0,288273.0,288273.0,,,,,,,,3.0,,,,,,,,google-deepmind/rlax,,,,,,,,,,, +481,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2023-10-10 20:30:16.000000,2023-03-06 13:54:05,3661.0,,318.0,68.0,673.0,38.0,517.0,803.0,The Classical Language Toolkit.,120.0,26,True,2021-06-10 16:34:40.000,1.0.15,66.0,cltk,,,,,248.0,248.0,https://pypi.org/project/cltk,,,966.0,966.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,, +482,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2023-08-10 03:20:53.000000,2023-08-10 03:20:53,1214.0,145.0,60.0,7.0,206.0,18.0,109.0,468.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,26,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],205.0,200.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,3368.0,3368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +483,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2023-09-21 01:39:39.000000,2023-08-23 17:20:54,1241.0,4.0,150.0,20.0,681.0,25.0,208.0,462.0,A package built to support working with spatial data using open source python.,44.0,26,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,267.0,250.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,4574.0,5851.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,68989.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +484,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2023-09-28 15:28:41.000000,2022-12-22 21:34:29,574.0,,84.0,29.0,317.0,75.0,27.0,360.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,26,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],304.0,297.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,70234.0,70234.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +485,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-01-09 00:12:07.000000,2021-02-12 10:36:31,2184.0,,1097.0,178.0,212.0,18.0,533.0,8040.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,25,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,18.0,18.0,,,,,219.0,,,,,,,,3.0,7244.0,,,,,,,,,,,,,,,,,, +486,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,824.0,170.0,1588.0,145.0,74.0,6362.0,A natural language modeling framework based on PyTorch.,234.0,25,True,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],19.0,18.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,161.0,167.0,,,,,,,,3.0,348.0,,,,,,,,,,,,,,,,,, +487,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2023-10-12 13:53:27.000000,2023-10-12 13:33:39,3281.0,101.0,588.0,91.0,3616.0,277.0,1228.0,4623.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,87.0,25,True,2023-09-28 15:21:56.000,1.30.0,70.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +488,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2023-08-31 07:24:48.000000,2022-07-29 10:37:24,205.0,,986.0,96.0,62.0,245.0,268.0,4438.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,25,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,20542.0,20542.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +489,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2023-06-16 19:25:40.006000,2022-08-23 22:54:23,1046.0,,982.0,240.0,214.0,51.0,198.0,4251.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,25,False,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,50.0,49.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,469.0,571.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3074.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +490,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,511.0,139.0,649.0,66.0,197.0,3829.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,1850.0,1850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +491,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2023-05-31 10:01:38.000000,2023-05-06 14:09:10,264.0,,401.0,40.0,49.0,72.0,173.0,3804.0,An Open-Source Framework for Prompt-Learning.,22.0,25,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,80.0,78.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,2.0,2413.0,2413.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +492,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2023-10-12 09:43:46.000000,2023-10-12 08:57:51,209.0,2.0,301.0,86.0,92.0,43.0,32.0,3392.0,Python library that makes it easy for data scientists to create charts.,25.0,25,True,2023-10-12 09:01:22.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,73.0,73.0,https://pypi.org/project/chartify,,,2127.0,2611.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,28582.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +493,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2023-09-22 09:55:14.000000,2023-05-19 17:52:25,508.0,,811.0,62.0,629.0,104.0,395.0,3075.0,A high-performance distributed training framework for Reinforcement Learning.,41.0,25,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],118.0,117.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,589.0,589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +494,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,469.0,102.0,49.0,57.0,253.0,2752.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,687.0,664.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,23.0,3105.0,3451.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,14810.0,,,,,3.0,801.0,,,,,,,,,,,,,,,,,, +495,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,216.0,66.0,42.0,17.0,23.0,2650.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,25,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,773.0,768.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,65052.0,65339.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,13806.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +496,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2023-06-30 21:16:15.000000,2023-06-30 21:16:10,470.0,,299.0,67.0,315.0,38.0,123.0,2626.0,DDSP: Differentiable Digital Signal Processing.,32.0,25,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],45.0,44.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,1522.0,1882.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,14439.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +497,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,706.0,167.0,94.0,134.0,358.0,2442.0,An Algorithmic Trading Library for Crypto-Assets in Python.,151.0,25,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,27.0,25.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +498,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 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,604.0,91.0,29.0,23.0,51.0,2284.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,606.0,427.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,179.0,164960.0,164960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +499,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 01:11:33.000,2023-09-08 09:47:44.000000,2023-07-01 21:40:58,1936.0,,313.0,38.0,81.0,14.0,156.0,2245.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],4.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,4.0,1805.0,1805.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +500,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2023-06-16 19:27:14.287000,2022-09-28 17:12:28,249.0,,242.0,25.0,315.0,70.0,37.0,2180.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,25,False,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],692.0,691.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,37082.0,37178.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2512.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +501,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2023-10-10 23:52:30.000000,2023-05-15 21:21:45,660.0,,214.0,38.0,136.0,6.0,125.0,2162.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,24.0,25,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,136.0,133.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,3.0,5361.0,5368.0,,,,,,,,3.0,294.0,,,,,,,,,,,,,,,,,, +502,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2023-09-05 06:09:07.000000,2023-09-05 06:09:05,385.0,1.0,278.0,57.0,14.0,21.0,78.0,2147.0,Beautiful visualizations of how language differs among document types.,14.0,25,True,2023-04-18 01:25:02.819,0.1.19,148.0,scattertext,conda-forge/scattertext,,,,444.0,434.0,https://pypi.org/project/scattertext,2022-03-26 09:23:49.000,10.0,8967.0,10107.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,84374.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +503,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13,118.0,,238.0,71.0,20.0,92.0,66.0,2051.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,35.0,pyflux,,,,,267.0,251.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,16.0,65349.0,65349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +504,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2023-06-16 19:23:39.686000,2021-07-16 09:03:20,66.0,,463.0,38.0,42.0,64.0,58.0,2039.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,25,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],1783.0,1769.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,49922.0,54676.0,https://anaconda.org/anaconda/efficientnet,2023-06-16 19:23:39.686,451.0,,,,,3.0,251361.0,,,,,,,,,,,,,,,,,, +505,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-06-20 17:42:42.000000,2023-06-20 17:42:34,12566.0,,83.0,41.0,47.0,11.0,74.0,2030.0,The friendly PIL fork.,385.0,25,False,,,47.0,pillow-simd,,,,,55.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,55.0,51728.0,51728.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +506,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2023-07-12 18:18:40.000000,2023-07-12 18:14:01,1515.0,,237.0,65.0,58.0,31.0,185.0,2000.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,20.0,25,True,2023-07-12 18:26:08.000,2.0.1,14.0,ampligraph,,,,['tensorflow'],44.0,44.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000,,666.0,666.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +507,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2023-09-26 17:28:16.000000,2023-09-26 17:27:56,255.0,3.0,191.0,30.0,63.0,35.0,83.0,1945.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,25,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],291.0,284.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,7.0,3482.0,3675.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,6391.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +508,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 05:46:52.000,2023-10-11 19:12:48.654000,2023-05-26 18:23:37,117.0,,228.0,44.0,36.0,45.0,21.0,1813.0,Parallel t-SNE implementation with Python and Torch wrappers.,17.0,25,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],428.0,406.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,29942.0,30902.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,28818.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +509,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,294.0,55.0,1313.0,233.0,810.0,1740.0,A toolkit for reproducible reinforcement learning research.,79.0,25,True,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],92.0,90.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,459.0,459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +510,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2023-09-22 07:25:32.800000,2023-04-20 14:53:46,460.0,,238.0,51.0,48.0,20.0,91.0,1541.0,Contextually-keyed word vectors.,19.0,25,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,300.0,287.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,1679.0,3861.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,34847.0,,,,,3.0,58900.0,,,,,,,,,,,,,,,,,, +511,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2023-09-19 07:41:06.631000,2022-12-07 10:32:49,237.0,,267.0,1.0,1.0,1.0,,1525.0,Feature engineering package with sklearn like functionality.,38.0,25,True,2023-09-18 14:50:58.000,1.6.2,38.0,feature_engine,conda-forge/feature_engine,,,,86.0,,https://pypi.org/project/feature_engine,2023-09-18 14:50:58.000,86.0,161274.0,162334.0,https://anaconda.org/conda-forge/feature_engine,2023-09-19 07:41:06.631,40286.0,,,,,3.0,,,,,,,,,,,,9.0,,,,,,, +512,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2023-08-24 17:27:15.000000,2023-04-11 16:36:03,155.0,,162.0,99.0,183.0,39.0,24.0,1458.0,fklearn: Functional Machine Learning.,53.0,25,True,2023-08-16 12:44:32.000,2.4.0,30.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2023-08-16 12:44:32.000,,2537.0,2537.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +513,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2023-08-27 08:50:24.000000,2023-08-27 09:50:01,1167.0,26.0,117.0,29.0,68.0,1.0,29.0,1434.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,25,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch_toolbelt,2022-06-27 19:59:57.000,7.0,19386.0,19386.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +514,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-08-12 06:34:31.000000,2023-08-12 06:34:27,161.0,2.0,248.0,50.0,86.0,21.0,188.0,1420.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,25,True,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],455.0,442.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,13.0,5317.0,5469.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6114.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +515,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,141.0,29.0,63.0,7.0,70.0,1260.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],1220.0,1207.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,13.0,13965.0,13965.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +516,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2023-09-27 15:14:50.000000,2023-09-27 15:14:33,667.0,1.0,157.0,47.0,161.0,19.0,376.0,1249.0,moDel Agnostic Language for Exploration and eXplanation.,24.0,25,False,2023-02-16 21:26:00.740,1.6.0,26.0,dalex,conda-forge/dalex,,,,135.0,129.0,https://pypi.org/project/dalex,2022-09-07 14:45:39.364,6.0,16793.0,17114.0,https://anaconda.org/conda-forge/dalex,2023-06-16 19:24:13.607,10614.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +517,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2023-10-10 19:37:02.000000,2023-10-09 17:33:41,760.0,75.0,167.0,18.0,248.0,64.0,93.0,1155.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,25,True,2023-06-26 15:48:01.000,0.10,11.0,dice-ml,,,,"['tensorflow', 'pytorch']",5.0,,https://pypi.org/project/dice-ml,2022-06-02 13:40:03.000,5.0,66977.0,66977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +518,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-10-02 13:48:23.000000,2023-09-03 19:16:54,508.0,22.0,159.0,33.0,86.0,16.0,32.0,1063.0,"A program for financial portfolio management, analysis and optimisation.",11.0,25,True,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,82.0,82.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,,1221.0,1221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +519,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 21:48:16.000,2023-09-20 15:32:40.000000,2023-09-20 15:32:36,567.0,2.0,191.0,49.0,61.0,1.0,68.0,971.0,Training neural models with structured signals.,38.0,25,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],385.0,382.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,14351.0,14351.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +520,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2023-10-11 22:06:03.000000,2023-10-11 22:03:55,1769.0,217.0,74.0,18.0,605.0,58.0,135.0,963.0,"MetricFlow allows you to define, build, and maintain metrics in code.",41.0,25,False,2023-09-06 22:57:08.000,0.202.0,57.0,metricflow,,,,,13.0,10.0,https://pypi.org/project/metricflow,2023-10-11 22:06:03.000,3.0,14433.0,14433.0,,,,,,,,3.0,,,,,,,,dbt-labs/metricflow,,,,,,,,,,, +521,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2023-10-12 03:02:51.000000,2023-10-11 22:12:42,1765.0,68.0,337.0,56.0,436.0,139.0,240.0,935.0,Machine learning on FPGAs using HLS.,55.0,25,True,2023-05-13 15:59:00.678,0.7.1,13.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,2021-11-12 12:26:50.000,,627.0,811.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,6816.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +522,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2023-10-09 09:50:10.000000,2023-08-01 13:02:51,2070.0,1.0,196.0,43.0,578.0,72.0,426.0,913.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,25,False,2023-08-01 13:38:54.000,2.0.2,47.0,smac,conda-forge/smac,,,,42.0,,https://pypi.org/project/smac,2023-08-01 13:30:07.000,42.0,27371.0,27918.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,16959.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +523,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,252.0,42.0,72.0,103.0,188.0,887.0,Gaussian Process Optimization using GPy.,49.0,25,True,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,496.0,458.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,38.0,7789.0,7789.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +524,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2023-10-06 08:51:55.000000,2023-10-05 20:16:49,726.0,3.0,143.0,15.0,99.0,21.0,224.0,880.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,44.0,25,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],73.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,73.0,23675.0,29507.0,https://anaconda.org/conda-forge/pytorch_sparse,2023-06-16 19:19:31.218,233283.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +525,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2023-10-12 14:09:21.000000,2023-10-12 14:09:13,1298.0,214.0,53.0,13.0,312.0,9.0,377.0,821.0,dstack is an open-source framework for orchestrating GPU workloads across multiple cloud GPU providers. It provides a..,13.0,25,True,2023-10-04 11:21:41.000,0.11.3,145.0,dstack,,,,,12.0,12.0,https://pypi.org/project/dstack,2023-10-12 10:23:52.000,,803.0,803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +526,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2023-10-04 12:04:31.000000,2023-10-04 12:04:30,755.0,5.0,53.0,13.0,113.0,39.0,95.0,814.0,Visualize large time series data with plotly.py.,11.0,25,True,2023-07-13 11:26:44.000,0.9.1,19.0,plotly-resampler,conda-forge/plotly-resampler,,,,598.0,598.0,https://pypi.org/project/plotly-resampler,,,315713.0,317107.0,https://anaconda.org/conda-forge/plotly-resampler,2023-08-11 13:55:21.400,29275.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +527,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-10-02 23:03:55.000000,2023-10-02 23:03:48,220.0,14.0,79.0,21.0,151.0,24.0,82.0,792.0,Library to enable Bayesian active learning in your research or labeling work.,21.0,25,True,2023-10-02 19:58:51.000,1.9.1,19.0,baal,conda-forge/baal,,,,53.0,52.0,https://pypi.org/project/baal,2023-10-02 19:57:48.000,1.0,1886.0,2100.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,7078.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +528,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-08-27 04:36:31.000000,2021-02-11 16:40:18,279.0,,69.0,13.0,48.0,22.0,52.0,661.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,25,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,948.0,926.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,22.0,183986.0,184176.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,4574.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +529,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-09-19 18:44:18.000000,2023-09-19 18:44:18,355.0,24.0,115.0,19.0,78.0,23.0,33.0,647.0,Working with molecular structures in pandas DataFrames.,15.0,25,True,2023-08-28 15:31:05.000,0.5.1de,19.0,biopandas,conda-forge/biopandas,,,['pandas'],227.0,204.0,https://pypi.org/project/biopandas,2023-08-28 15:32:25.000,23.0,62001.0,63773.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,145319.0,,,,,3.0,,,,,,,,BioPandas/biopandas,,,,,,,,,,, +530,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2023-10-06 19:19:02.000000,2023-10-06 19:00:44,455.0,17.0,100.0,23.0,84.0,16.0,93.0,625.0,"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..",26.0,25,True,2023-04-21 11:05:59.132,1.9.0,38.0,tinytag,,,,,108.0,,https://pypi.org/project/tinytag,2022-03-12 17:51:16.000,108.0,14339.0,14339.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +531,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2023-10-10 09:45:12.000000,2023-03-24 08:30:46,549.0,,93.0,17.0,188.0,93.0,132.0,592.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",30.0,25,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,169.0,,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,169.0,1415734.0,1415873.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,16132.0,,,,,,,,,,,,,,,,,, +532,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2023-09-23 13:28:08.196000,2022-01-15 18:08:37,1718.0,,56.0,13.0,11.0,32.0,5.0,461.0,Pure-Python full-text search library.,42.0,25,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,3689.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,3689.0,254596.0,261744.0,https://anaconda.org/conda-forge/whoosh,2023-09-23 13:28:08.196,207305.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +533,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2023-10-05 14:57:15.000000,2023-10-05 14:57:15,219.0,2.0,53.0,14.0,196.0,12.0,184.0,281.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",13.0,25,False,2023-04-23 19:42:01.507,3.7.0,69.0,pystan,conda-forge/pystan,,,,259.0,,https://pypi.org/project/pystan,2023-04-23 19:42:01.507,259.0,1589379.0,1624242.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2754213.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +534,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-10-11 20:27:13.000000,2023-10-10 19:15:27,4039.0,14.0,48.0,14.0,708.0,217.0,203.0,266.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,25,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,100.0,92.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,1945.0,1945.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +535,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2023-05-28 02:16:35.000000,2023-03-29 07:02:37,553.0,,845.0,124.0,62.0,119.0,74.0,4955.0,Image augmentation library in Python for machine learning.,23.0,24,True,,,,Augmentor,,,,,654.0,654.0,https://pypi.org/project/Augmentor,,,10795.0,10795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +536,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,138.0,43.0,141.0,98.0,4922.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1113.0,1097.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,859.0,872.0,,,,,,,,3.0,883.0,,,,,,,,,,,,,,,,,, +537,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2023-08-25 22:35:13.000000,2023-08-25 22:18:03,209.0,2.0,284.0,64.0,176.0,19.0,54.0,4815.0,"A data augmentations library for audio, image, text, and video.",32.0,24,True,2022-03-29 11:42:50.000,1.0.0,17.0,augly,,,,,85.0,82.0,https://pypi.org/project/augly,2022-03-28 13:29:26.000,3.0,1352.0,1352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +538,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2023-09-02 01:51:06.000000,2023-04-28 16:55:30,521.0,,422.0,60.0,88.0,48.0,88.0,4719.0,Finding duplicate images made easy!.,15.0,24,True,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],69.0,64.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,2219.0,2219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +539,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-10-12 09:08:21.000000,2023-10-11 16:51:35,1508.0,44.0,793.0,144.0,1408.0,320.0,394.0,4583.0,Simple and Distributed Machine Learning.,112.0,24,True,2023-09-27 02:20:17.000,0.11.3,35.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +540,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-07-17 20:51:30.000000,2023-03-05 22:07:59,1158.0,,1370.0,352.0,57.0,51.0,,4157.0,Python Algorithmic Trading Library.,11.0,24,True,,,8.0,pyalgotrade,,,,,192.0,171.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,583.0,583.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +541,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 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,711.0,66.0,247.0,124.0,822.0,3907.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,35.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,35.0,4398.0,4398.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +542,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2023-10-05 08:32:09.000000,2023-10-05 08:26:32,1577.0,10.0,498.0,154.0,609.0,69.0,75.0,3453.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",162.0,24,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +543,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2023-08-25 23:29:22.000000,2023-08-25 22:31:20,169.0,2.0,431.0,91.0,78.0,56.0,137.0,3294.0,Generate embeddings from large-scale graph-structured data.,30.0,24,True,2019-10-14 16:45:11.000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000,3.0,323494.0,323497.0,,,,,,,,2.0,163.0,,,,,,,,,,,,,,,,,, +544,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2023-08-11 21:56:51.000000,2023-02-28 07:05:02,2087.0,,678.0,163.0,60.0,7.0,653.0,2930.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,26.0,24,True,2023-02-28 18:11:51.000,1.5.0,19.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,901.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,57665.0,,,,,3.0,4681.0,,,,,,,,,,,,,,,,,, +545,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2023-10-07 14:59:35.000000,2023-09-25 05:41:01,1296.0,2.0,313.0,93.0,2156.0,206.0,982.0,2647.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",52.0,24,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,1.0,55054.0,55054.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +546,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-03-18 16:45:36.000000,2022-10-05 16:26:03,376.0,,216.0,48.0,480.0,45.0,70.0,2624.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,24,True,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,168.0,165.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,13599.0,13599.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,, +547,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,,2014-06-30 02:07:45.000,2023-02-24 18:44:15.000000,2020-09-22 22:35:28,271.0,,327.0,79.0,54.0,151.0,68.0,2201.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,,,,polyglot,,,,,1094.0,1094.0,https://pypi.org/project/polyglot,,,63311.0,63311.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +548,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,258.0,58.0,56.0,19.0,50.0,2194.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000,0.5.0,5.0,pytorch-nlp,,,,['pytorch'],577.0,577.0,https://pypi.org/project/pytorch-nlp,,,4780.0,4780.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +549,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,304.0,66.0,14.0,28.0,46.0,2156.0,Stand-alone language identification system.,9.0,24,False,,,,langid,,,,,7659.0,7659.0,https://pypi.org/project/langid,,,360999.0,360999.0,,,,,,,,3.0,,,,,,,,,,,,-4.0,,,,,,, +550,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2023-10-12 10:42:16.000000,2023-10-12 10:41:55,526.0,4.0,177.0,38.0,110.0,55.0,125.0,2006.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,24.0,24,True,2023-10-11 00:45:57.000,2023.10.11,697.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,2023-10-12 00:45:54.000,,5250.0,5250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +551,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2023-10-05 21:16:31.000000,2023-07-01 21:39:32,2288.0,,229.0,41.0,36.0,6.0,109.0,1984.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,24,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,196.0,192.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,4.0,4173.0,4709.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,20937.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +552,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,114.0,39.0,11.0,32.0,51.0,1608.0,"A fast, efficient universal vector embedding utility package.",4.0,24,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,330.0,317.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,13.0,1196.0,1196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +553,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,406.0,91.0,165.0,103.0,224.0,1343.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,59.0,24,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],43.0,42.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,1.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +554,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-06-16 19:23:39.693000,2022-12-24 01:52:28,204.0,,304.0,49.0,42.0,91.0,112.0,1254.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,17.0,24,True,2020-09-13 21:05:45.000,0.8.4,1.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],326.0,326.0,https://pypi.org/project/keras-ocr,,,11307.0,29099.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,281.0,,,,,3.0,658036.0,,,,,,,,,,,,,,,,,, +555,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 18:22:13.000,2023-05-09 08:45:29.000000,2023-02-08 02:25:50,604.0,,199.0,54.0,455.0,141.0,291.0,1158.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],73.0,64.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,422.0,422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +556,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,223.0,73.0,415.0,75.0,147.0,1126.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,165.0,155.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,10.0,506.0,506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +557,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2023-08-29 11:31:26.000000,2023-08-29 11:31:26,76.0,1.0,226.0,20.0,16.0,3.0,87.0,1123.0,Implementation of the node2vec algorithm.,12.0,24,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,499.0,481.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,18.0,64636.0,65046.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,26667.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +558,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-09-30 06:19:56.000000,2023-09-30 06:19:56,409.0,8.0,184.0,34.0,72.0,3.0,86.0,1026.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,24,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],200.0,191.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,4464.0,4464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +559,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 02:02:07.000,2022-03-31 14:08:20.000000,2022-03-31 14:08:20,1034.0,,171.0,48.0,111.0,51.0,170.0,944.0,Python interface to GPU-powered libraries.,43.0,24,False,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,316.0,267.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,49.0,667.0,667.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +560,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2023-08-14 23:20:14.000000,2023-03-06 07:52:05,311.0,,107.0,26.0,36.0,34.0,69.0,864.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,24,True,2021-04-11 17:42:31.000,0.5.5,5.0,pandas-bokeh,,,,['pandas'],530.0,530.0,https://pypi.org/project/pandas-bokeh,,,30455.0,30455.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +561,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,38.0,81.0,14.0,77.0,218.0,218.0,825.0,"Experiment tracking, ML developer tools.",29.0,24,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,82.0,82.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,1090.0,1090.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,, +562,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2023-01-03 21:24:56.000000,2023-01-03 21:24:56,1146.0,,160.0,33.0,25.0,33.0,235.0,741.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,True,2019-04-04 19:44:59.000,0.8.2,29.0,neupy,,,,,157.0,157.0,https://pypi.org/project/neupy,,,5488.0,5488.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +563,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2023-08-23 07:53:53.000000,2023-08-22 10:38:02,306.0,15.0,129.0,19.0,72.0,5.0,61.0,733.0,An intuitive library to extract features from time series.,18.0,24,True,2023-08-23 07:53:53.000,0.1.6,10.0,tsfel,,,,,96.0,96.0,https://pypi.org/project/tsfel,2023-08-22 10:46:05.000,,22663.0,22663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +564,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2023-10-12 06:54:28.000000,2023-10-11 13:01:19,594.0,3.0,127.0,16.0,53.0,25.0,119.0,699.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,32.0,24,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],44.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,44.0,10162.0,12104.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-06-16 19:19:30.367,79662.0,,,,,2.0,,,,,,,,,,,,5.0,,,,,,, +565,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2023-10-09 09:48:20.000000,2023-10-09 09:47:59,464.0,4.0,48.0,8.0,51.0,156.0,224.0,544.0,python binding for libvips using cffi.,16.0,24,True,2022-06-12 09:54:07.000,2.2.1,24.0,pyvips,conda-forge/pyvips,,,,642.0,596.0,https://pypi.org/project/pyvips,2022-06-12 09:54:07.000,46.0,50625.0,52506.0,https://anaconda.org/conda-forge/pyvips,2023-09-26 03:23:28.071,67750.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +566,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,9.0,17.0,11.0,12.0,494.0,Find pyspark to make it importable.,15.0,24,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],3981.0,3820.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,161.0,1907338.0,1917122.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,861002.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +567,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2023-10-12 12:30:56.000000,2023-10-12 06:43:31,936.0,10.0,162.0,25.0,809.0,85.0,377.0,457.0,MONAI Label is an intelligent open source image labeling and learning tool.,52.0,24,True,2023-06-10 01:10:23.000,0.7.0,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,644.0,3018.0,,,,,,,,3.0,64123.0,,,,,,,,,,,,,,,,,, +568,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2023-10-01 02:15:36.000000,2023-10-01 02:13:38,646.0,7.0,62.0,29.0,414.0,13.0,91.0,363.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,24,True,2023-07-18 13:09:18.000,4.0.0,40.0,vega,conda-forge/vega,,,['jupyter'],85.0,2.0,https://pypi.org/project/vega,2022-02-10 02:01:39.000,83.0,11559.0,18019.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,568535.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +569,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2023-10-11 11:27:11.000000,2023-10-11 11:22:43,508.0,7.0,53.0,39.0,253.0,17.0,59.0,290.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",36.0,24,False,2023-10-11 11:27:11.000,1.2.3,70.0,gokart,,,,,77.0,72.0,https://pypi.org/project/gokart,2023-10-11 11:27:11.000,5.0,2908.0,2908.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +570,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2023-08-23 18:39:43.000000,2020-06-03 05:58:03,146.0,,1379.0,262.0,68.0,115.0,132.0,6142.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,21.0,18.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,113.0,113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +571,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2023-10-10 12:51:51.000000,2023-10-10 12:37:18,1091.0,1.0,881.0,117.0,674.0,238.0,540.0,5319.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,114.0,23,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],15.0,14.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,207.0,207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +572,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2023-06-10 15:03:11.000000,2023-02-19 16:29:00,327.0,,900.0,45.0,28.0,62.0,110.0,4465.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",17.0,23,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],161.0,153.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,8.0,3492.0,3492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +573,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-07-29 21:28:21.000000,2023-07-05 18:14:28,901.0,,530.0,105.0,617.0,84.0,606.0,4098.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,23,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],,,https://pypi.org/project/yellowbrick,,,345899.0,347746.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,70213.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +574,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16,1810.0,,892.0,176.0,385.0,33.0,430.0,3793.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,23,False,2019-10-09 19:24:22.000,2.2,2.0,matchzoo,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/matchzoo,,,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +575,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24,440.0,,529.0,174.0,49.0,64.0,49.0,3462.0,Fast and flexible AutoML with learning guarantees.,27.0,23,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],57.0,54.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,3.0,108.0,108.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +576,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-10-02 18:04:41.000000,2022-03-16 17:52:29,715.0,,216.0,55.0,34.0,68.0,120.0,3041.0,A GUI for Pandas DataFrames.,13.0,23,False,,,2.0,pandasgui,conda-forge/pandasgui,,,['pandas'],292.0,292.0,https://pypi.org/project/pandasgui,,,3153.0,3764.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,20182.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +577,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,679.0,72.0,25.0,117.0,101.0,2969.0,Neural network visualization toolkit for keras.,10.0,23,False,,,8.0,keras-vis,,,,['tensorflow'],2819.0,2819.0,https://pypi.org/project/keras-vis,,,1000.0,1000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +578,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,6.0,232.0,43.0,110.0,55.0,64.0,2797.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,23,True,2021-07-01 16:53:52.000,1.1.0,4.0,texthero,,,,,,,https://pypi.org/project/texthero,,,10730.0,10732.0,,,,,,,,3.0,118.0,,,,,,,,,,,,,,,,,, +579,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 02:27:30.000,2023-09-06 01:51:23.000000,2023-09-06 01:51:17,3452.0,1.0,727.0,107.0,3869.0,533.0,855.0,2585.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,23,True,2022-01-25 00:22:00.888,0.11.2,418.0,analytics-zoo,,,,['spark'],5.0,4.0,https://pypi.org/project/analytics-zoo,2022-07-07 07:51:54.000,1.0,896.0,896.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +580,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2023-07-19 07:53:13.000000,2023-07-19 07:40:10,212.0,1.0,127.0,30.0,196.0,12.0,73.0,2568.0,HiPlot makes understanding high dimensional data easy.,9.0,23,True,2021-11-04 14:24:43.000,0.1.32,35.0,hiplot,conda-forge/hiplot,,,,309.0,309.0,https://pypi.org/project/hiplot,,,24001.0,27697.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,162656.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +581,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955.0,,439.0,65.0,122.0,32.0,349.0,2369.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],64.0,62.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +582,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-07-27 17:48:45.000000,2023-07-27 17:48:45,753.0,1.0,287.0,28.0,693.0,49.0,141.0,2153.0,"Toolkit for creating, sharing and using natural language prompts.",64.0,23,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,62.0,61.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,1.0,4049.0,4049.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +583,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,304.0,67.0,78.0,63.0,68.0,2096.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],25.0,22.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,2317.0,2317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +584,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,635.0,82.0,48.0,24.0,64.0,1975.0,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,433.0,421.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,6408.0,6408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +585,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,235.0,45.0,33.0,48.0,90.0,1865.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],144.0,144.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,2395.0,2395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +586,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-09-26 02:48:51.000000,2023-09-26 02:48:50,872.0,1.0,126.0,34.0,407.0,65.0,326.0,1737.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,23,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,conda-forge/orbit-ml,,,,39.0,38.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,99308.0,99514.0,https://anaconda.org/conda-forge/orbit-ml,2023-06-18 08:40:35.691,4346.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +587,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-09-26 02:48:51.000000,2023-09-26 02:48:50,872.0,1.0,126.0,34.0,407.0,65.0,326.0,1736.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,23,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,,,,,39.0,38.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,99308.0,99308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +588,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2022-09-18 16:01:21.000000,2022-09-18 16:01:20,637.0,,268.0,28.0,182.0,9.0,389.0,1592.0,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,23,False,2022-05-28 10:07:13.000,1.3,17.0,talos,,,,['tensorflow'],174.0,167.0,https://pypi.org/project/talos,2022-05-28 10:07:34.000,7.0,821.0,821.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +589,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,116.0,28.0,31.0,58.0,50.0,1555.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,23,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],325.0,320.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,5.0,43065.0,43065.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +590,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 19:35:56.000,2022-07-01 09:55:35.000000,2021-07-08 19:03:55,108.0,,203.0,45.0,12.0,4.0,51.0,1543.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,23,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],198.0,196.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,2.0,6279.0,6279.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +591,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2023-09-01 16:34:21.000000,2023-08-25 22:11:00,340.0,2.0,292.0,40.0,252.0,69.0,190.0,1366.0,A framework for Privacy Preserving Machine Learning.,33.0,23,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],31.0,30.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,315.0,315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +592,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2022-07-25 15:59:11.000000,2022-05-22 23:59:48,1219.0,,160.0,32.0,22.0,42.0,34.0,1251.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],59.0,58.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,1.0,323.0,323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +593,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,186.0,28.0,57.0,21.0,36.0,1212.0,A Toolbox for Adversarial Robustness Research.,21.0,23,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],137.0,132.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,464.0,464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +594,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2023-09-28 10:42:22.000000,2023-08-31 05:25:00,181.0,10.0,103.0,37.0,24.0,15.0,109.0,1123.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,23,True,2023-08-31 05:32:10.000,2.1.3,76.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2022-09-21 23:07:01.601,8.0,6489.0,6489.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +595,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2022-07-28 04:39:33.000000,2019-08-16 09:00:15,140.0,,103.0,12.0,18.0,13.0,15.0,1000.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,4253.0,4002.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,251.0,309737.0,309737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +596,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2023-09-27 19:23:04.851000,2023-03-29 07:39:45,85.0,,78.0,26.0,53.0,32.0,27.0,910.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,True,2020-02-13 09:57:47.000,1.0.6,4.0,youtokentome,conda-forge/youtokentome,,,,534.0,534.0,https://pypi.org/project/youtokentome,,,38664.0,40162.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,37459.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +597,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-10-07 18:05:54.000000,2022-12-07 13:45:45,1234.0,,136.0,25.0,594.0,62.0,511.0,833.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,23,True,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,5064.0,5064.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +598,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,146.0,25.0,154.0,73.0,137.0,756.0,Google maps for Jupyter notebooks.,16.0,23,False,2019-07-21 08:49:48.715,0.9.0,95.0,gmaps,conda-forge/gmaps,,,['jupyter'],49.0,3.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000,44.0,5031.0,10210.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,308287.0,,,,,3.0,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,1176.0,2019-07-21 08:49:48.715,2.0,,,,,,,,,,,, +599,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2023-10-11 16:25:04.000000,2023-10-11 16:24:55,1100.0,125.0,120.0,32.0,917.0,33.0,50.0,743.0,Machine learning framework for both deep learning and traditional algorithms.,34.0,23,True,2023-09-19 21:28:50.000,2.0.192,11.0,neoml,,,,,,,https://pypi.org/project/neoml,2023-09-19 21:28:50.000,,1003.0,1003.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +600,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2023-09-26 10:08:12.000000,2023-08-23 11:46:56,231.0,5.0,94.0,15.0,36.0,32.0,24.0,717.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,11.0,23,True,2022-12-19 18:16:02.257,0.5.1,12.0,detoxify,,,,,419.0,409.0,https://pypi.org/project/detoxify,2022-12-19 18:16:02.257,10.0,26203.0,34466.0,,,,,,,,3.0,289231.0,,,,,,,,,,,,,,,,,, +601,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2023-09-26 00:20:33.000000,2023-09-26 00:20:33,398.0,1.0,155.0,17.0,72.0,35.0,105.0,652.0,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,171.0,147.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,24.0,37428.0,38294.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,77998.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,, +602,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,138.0,123.0,91.0,43.0,67.0,640.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,23,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],187.0,172.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,15.0,12024.0,12024.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +603,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2023-08-31 16:23:08.000000,2018-12-04 14:43:25,32.0,,79.0,21.0,8.0,22.0,41.0,604.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],391.0,370.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,21.0,23790.0,23819.0,https://anaconda.org/anaconda/pivottablejs,2023-06-16 13:18:14.055,2731.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +604,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2023-10-12 05:04:46.000000,2023-10-02 09:27:07,825.0,29.0,77.0,9.0,668.0,77.0,412.0,558.0,Automated modeling and machine learning framework FEDOT.,29.0,23,True,2023-07-25 13:20:41.000,0.7.2,19.0,fedot,,,,,41.0,40.0,https://pypi.org/project/fedot,2023-07-25 13:17:29.000,1.0,1003.0,1003.0,,,,,,,,2.0,,,,,,,,aimclub/FEDOT,,,,,,,,,,, +605,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2023-07-17 20:34:35.934000,2023-07-17 15:55:22,3693.0,6.0,66.0,46.0,346.0,20.0,388.0,536.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,36.0,23,False,2023-07-17 16:04:04.000,4.0.0,68.0,skll,conda-forge/skll,,,['sklearn'],57.0,39.0,https://pypi.org/project/skll,2023-01-19 17:28:00.723,18.0,320.0,844.0,https://anaconda.org/conda-forge/skll,2023-07-17 20:34:35.934,12060.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,, +606,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-10-08 15:21:43.000000,2023-10-08 15:21:36,2253.0,21.0,41.0,11.0,11.0,11.0,51.0,468.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,23,True,2023-08-27 10:59:47.000,4.5.0,74.0,hyperactive,,,,,26.0,21.0,https://pypi.org/project/hyperactive,2023-08-27 10:57:33.000,5.0,1325.0,1327.0,,,,,,,,2.0,129.0,,,,,,,,,,,,,,,,,, +607,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2023-06-16 19:18:14.535000,2023-03-05 05:31:37,737.0,,79.0,13.0,28.0,9.0,44.0,328.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,15.0,23,True,2023-03-05 05:35:05.094,3.0.1,57.0,pymap3d,conda-forge/pymap3d,,,,340.0,319.0,https://pypi.org/project/pymap3d,2023-03-05 05:35:05.094,21.0,69308.0,70728.0,https://anaconda.org/conda-forge/pymap3d,2023-06-16 19:18:14.535,61102.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +608,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2023-10-06 23:29:55.000000,2023-10-06 23:29:55,2463.0,10.0,56.0,9.0,227.0,28.0,72.0,245.0,Python recommendation toolkit.,13.0,23,False,2022-08-16 20:29:07.512,0.14.2,23.0,lenskit,conda-forge/lenskit,,,,93.0,89.0,https://pypi.org/project/lenskit,2022-08-16 20:29:07.512,4.0,1111.0,1755.0,https://anaconda.org/conda-forge/lenskit,2023-06-16 19:23:42.362,22541.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +609,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,13.0,9.0,4.0,12.0,225.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,23,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,921.0,876.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,45.0,117440.0,118915.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,53124.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +610,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2023-07-20 13:12:55.000000,,,,3827.0,,,132.0,,22900.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",142.0,22,True,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],43.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,43.0,5467.0,5551.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2268.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +611,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-10-09 10:42:22.000000,2023-10-09 10:42:22,757.0,2.0,648.0,99.0,150.0,98.0,103.0,8308.0,Developer toolkit for making AI models better.,40.0,22,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,568.0,568.0,,,,,,,,3.0,,,,,,,,nebuly-ai/nebuly,,,,,,,,,,, +612,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2023-06-16 18:03:39.000000,2023-03-04 05:19:44,2327.0,,606.0,146.0,1362.0,118.0,985.0,7962.0,Production infrastructure for machine learning at scale.,24.0,22,True,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,1.0,1068.0,1068.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +613,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 21:45:14.000,2023-10-09 20:13:15.000000,2023-10-02 13:04:59,593.0,2.0,719.0,105.0,583.0,57.0,345.0,5512.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,56.0,22,True,2020-04-03 19:06:25.000,0.4.0,1.0,t5,,,,['tensorflow'],,,https://pypi.org/project/t5,,,12533.0,12533.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +614,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2023-04-10 13:46:12.000000,2022-05-30 07:32:06,3344.0,,820.0,234.0,109.0,57.0,620.0,4813.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,22,False,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,24.0,,,,,,,,3.0,1501.0,,,,,,,,,,,,,,,,,, +615,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2023-05-02 04:54:25.000000,2021-06-13 00:22:13,176.0,,1703.0,19.0,17.0,70.0,24.0,4773.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,22,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,25.0,25.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,2207.0,2207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +616,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658.0,160.0,130.0,83.0,101.0,4575.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,22,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],6.0,,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,491.0,491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +617,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2023-07-18 09:20:28.000000,2022-08-09 13:26:32,565.0,,1273.0,308.0,204.0,67.0,205.0,4510.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1959.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143023.0,3.0,,,,,,,,,,,,,,,,,,, +618,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 13:41:13.000,2022-01-23 11:27:35.000000,2021-06-02 09:45:13,150.0,,698.0,103.0,32.0,99.0,112.0,4319.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,22,False,2020-01-08 15:35:45.000,2.2.0,1.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],115.0,115.0,https://pypi.org/project/ISR,,,4748.0,4751.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,228.0,3.0,,,,,,,,,,,,,,,,,,, +619,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 03:11:32.000,2023-08-24 02:06:46.000000,2023-01-15 11:37:16,279.0,,797.0,105.0,90.0,106.0,349.0,4133.0,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,2.0,9864.0,9864.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +620,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-06-16 13:24:50.216000,2019-05-22 18:27:54,1118.0,,824.0,334.0,89.0,91.0,306.0,3864.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,22,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,1.0,74.0,98.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1819.0,,,,,3.0,374.0,,,,,,,,,,,,,,,,,, +621,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 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,654.0,77.0,53.0,176.0,101.0,3326.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],7.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,7.0,3310.0,3319.0,,,,,,,,3.0,531.0,,,,,,,,,,,,,,,,,, +622,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,380.0,208.0,9.0,6.0,16.0,3140.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],132.0,129.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,2080.0,2080.0,,,,,,,,3.0,,,,,,,,google-deepmind/trfl,,,,,,,,,,, +623,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2023-09-12 09:09:52.000000,2023-08-25 22:30:06,405.0,2.0,315.0,56.0,413.0,79.0,106.0,3132.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",37.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],31.0,30.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,196.0,196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +624,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2023-10-05 17:46:14.000000,2023-08-08 21:17:31,765.0,2.0,362.0,93.0,545.0,144.0,91.0,2732.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,22,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],8.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,8.0,4460.0,4460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +625,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,315.0,67.0,167.0,145.0,112.0,2685.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,22,False,,,11.0,eli5,conda-forge/eli5,,,,,,https://pypi.org/project/eli5,,,436064.0,437931.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,143791.0,,,,,3.0,,,,,,,,,,,,-4.0,,,,,,, +626,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2023-09-01 22:04:56.000000,2023-08-24 15:33:37,935.0,1.0,165.0,19.0,73.0,87.0,165.0,2631.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,27.0,22,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,32.0,31.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,983.0,983.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +627,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,399.0,130.0,136.0,52.0,128.0,2396.0,Deep Learning toolkit for Computer Vision.,15.0,22,False,,,10.0,luminoth,,,,['tensorflow'],49.0,49.0,https://pypi.org/project/luminoth,,,1389.0,1565.0,,,,,,,,3.0,12707.0,,,,,,,,,,,,,,,,,, +628,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,80.0,144.0,33.0,126.0,2364.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],29.0,27.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +629,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2023-06-07 17:48:51.000000,2023-06-07 17:48:50,26.0,,98.0,37.0,27.0,22.0,78.0,1745.0,"A flexible, intuitive and fast forecasting library.",9.0,22,True,2023-06-07 17:56:26.462,0.5.1,10.0,greykite,,,,,23.0,23.0,https://pypi.org/project/greykite,2022-07-15 21:40:53.479,,13167.0,13167.0,,,,,,,,3.0,4.0,,,,,,,,,,,,,,,,,, +630,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2023-04-08 10:04:48.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,13.0,57.0,35.0,1732.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",235.0,224.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,1472.0,1472.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +631,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 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,209.0,39.0,111.0,54.0,42.0,1682.0,"Large-scale linear classification, regression and ranking in Python.",17.0,22,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],144.0,136.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,8.0,1728.0,4055.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,201324.0,,,,,3.0,386.0,,,,,,,,,,,,,,,,,, +632,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,311.0,98.0,45.0,187.0,216.0,1625.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,22,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,7.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,7.0,317.0,317.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,, +633,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2023-10-10 14:54:36.000000,2023-10-10 14:54:36,1071.0,5.0,253.0,33.0,35.0,21.0,167.0,1621.0,A library for graph deep learning research.,48.0,22,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,8.0,335.0,335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +634,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2023-06-16 19:17:34.578000,2023-03-23 14:35:34,422.0,,281.0,74.0,728.0,53.0,64.0,1563.0,An end-to-end PyTorch framework for image and video classification.,77.0,22,True,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,2157.0,2566.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,18421.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +635,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,286.0,46.0,801.0,69.0,485.0,1562.0,jiant is an nlp toolkit.,60.0,22,True,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,3.0,3.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +636,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,270.0,67.0,51.0,23.0,75.0,1443.0,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,35.0,35.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,643.0,643.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +637,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2023-09-07 22:16:34.000000,2023-09-07 22:16:34,831.0,3.0,327.0,51.0,789.0,2.0,300.0,1190.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,22,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2017-06-12 16:32:29.000,2.0,388.0,388.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,, +638,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,217.0,66.0,29.0,31.0,12.0,1125.0,Anomaly Detection and Correlation library.,9.0,22,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,91.0,76.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,15.0,11137.0,11137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +639,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2023-09-05 07:31:03.000000,2023-08-18 11:01:23,442.0,1.0,203.0,54.0,83.0,60.0,204.0,998.0,Line based ATR Engine based on OCRopy.,20.0,22,True,2023-08-18 11:50:18.000,1.0.6,40.0,calamari_ocr,,,,,5.0,,https://pypi.org/project/calamari_ocr,2023-08-18 11:50:18.000,5.0,1360.0,1360.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +640,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-06-30 08:14:18.000000,2022-06-30 08:14:18,208.0,,109.0,49.0,98.0,41.0,51.0,997.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],205.0,197.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,8.0,2097.0,2097.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +641,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2023-06-16 13:21:24.079000,2022-12-12 08:52:31,580.0,,282.0,95.0,120.0,62.0,95.0,951.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",30.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],36.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,36.0,1029.0,1580.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,40824.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +642,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-05-15 11:15:26.000000,2020-02-25 14:31:53,879.0,,99.0,29.0,59.0,19.0,74.0,806.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,333.0,329.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,4.0,4110.0,4110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +643,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 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,73.0,6.0,5.0,4.0,23.0,797.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,22,False,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],371.0,359.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,12.0,89792.0,89792.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +644,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2023-10-12 01:14:33.000000,2023-10-12 01:13:43,275.0,5.0,240.0,45.0,18.0,7.0,91.0,778.0,Data compression in TensorFlow.,21.0,22,True,2023-07-26 23:21:33.000,2.13.0,21.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2023-07-26 23:20:24.000,2.0,6715.0,6715.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +645,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,26.0,37.0,25.0,21.0,736.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,22,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,23.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,23.0,60098.0,60098.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,, +646,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,144.0,25.0,19.0,26.0,4.0,729.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,22,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],539.0,526.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,13.0,76981.0,77123.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,5141.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +647,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2023-10-11 18:49:45.000000,2023-09-29 10:17:56,1501.0,3.0,77.0,36.0,644.0,22.0,118.0,688.0,Scikit-learn style model finetuning for NLP.,21.0,22,True,2019-01-18 20:10:51.000,0.5.14,15.0,finetune,,,,"['tensorflow', 'sklearn']",11.0,11.0,https://pypi.org/project/finetune,,,239.0,239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +648,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2023-06-16 19:26:00.374000,2019-10-30 09:27:48,189.0,,81.0,21.0,12.0,,38.0,677.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,350.0,344.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,6.0,17907.0,17967.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1751.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +649,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2023-10-10 03:42:50.000000,2023-10-10 03:38:42,486.0,17.0,92.0,30.0,548.0,197.0,241.0,608.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,22,True,2023-09-26 13:51:42.000,23.09.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,3840.0,3840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +650,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,112.0,27.0,23.0,57.0,35.0,588.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,401.0,379.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,22.0,30089.0,30524.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,14821.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +651,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 19:20:13.000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02,249.0,,129.0,23.0,18.0,8.0,29.0,574.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],139.0,134.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,28665.0,28665.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +652,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2023-06-16 19:26:34.899000,2022-11-17 11:12:46,327.0,,131.0,19.0,32.0,14.0,70.0,506.0,Medical image processing in Python.,16.0,22,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,1503.0,1459.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000,44.0,14700.0,15401.0,https://anaconda.org/conda-forge/medpy,2023-06-16 19:26:34.899,19637.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +653,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2023-10-03 20:14:08.000000,2023-08-19 18:28:43,446.0,24.0,52.0,25.0,7.0,9.0,31.0,492.0,Active Learning for Text Classification in Python.,4.0,22,True,2023-08-19 18:16:36.000,1.3.2,19.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",21.0,21.0,https://pypi.org/project/small-text,2023-08-19 18:14:35.000,,314.0,611.0,https://anaconda.org/conda-forge/small-text,2023-08-19 18:38:17.816,4465.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +654,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2023-10-06 11:08:34.000000,2023-10-06 11:07:49,280.0,2.0,75.0,7.0,8.0,2.0,69.0,471.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,9.0,22,True,2023-10-05 12:12:56.000,0.3.3,145.0,featurewiz,,,,,55.0,53.0,https://pypi.org/project/featurewiz,2023-10-05 12:12:56.000,2.0,9596.0,9596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +655,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2023-10-02 23:15:57.000000,2023-10-02 23:15:57,5566.0,47.0,87.0,14.0,730.0,33.0,425.0,383.0,Lightwood is Legos for Machine Learning.,40.0,22,False,2023-08-07 15:55:40.000,23.8.1.0,200.0,lightwood,,,,['pytorch'],2.0,,https://pypi.org/project/lightwood,2023-08-07 15:56:06.000,2.0,3758.0,3758.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +656,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2023-07-16 11:29:31.000000,2023-07-16 11:29:26,153.0,7.0,46.0,17.0,2.0,9.0,3.0,354.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,22,True,2023-07-16 11:35:00.418,0.0.9,10.0,suod,,,,,492.0,490.0,https://pypi.org/project/suod,2021-10-01 18:05:35.000,2.0,39446.0,39446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +657,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,6.0,33.0,18.0,6.0,17.0,21.0,301.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,22,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],70.0,69.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,1.0,2322.0,2322.0,,,,,,,,3.0,,,,,,,,google-deepmind/launchpad,,,,,,,,,,, +658,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 06:44:03.000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09,90.0,,26.0,7.0,18.0,3.0,9.0,152.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,7.0,stop-words,,,,,1998.0,1998.0,https://pypi.org/project/stop-words,,,107533.0,107533.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +659,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2023-09-18 17:43:15.000000,2023-02-07 10:12:31,47.0,,2070.0,148.0,87.0,225.0,284.0,11822.0,End-to-End Object Detection with Transformers.,26.0,21,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],18.0,18.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +660,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2023-06-18 08:40:31.986000,2023-02-15 20:15:59,196.0,,485.0,81.0,36.0,51.0,26.0,10305.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",15.0,21,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,35.0,35.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,773.0,871.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2076.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +661,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,779.0,224.0,25.0,7.0,122.0,5286.0,Build Graph Nets in Tensorflow.,11.0,21,True,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],26.0,18.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,8.0,825.0,825.0,,,,,,,,3.0,,,,,,,,google-deepmind/graph_nets,,,,,,,,,,, +662,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,323.0,76.0,37.0,95.0,74.0,4388.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,21,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,51.0,51.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +663,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,475.0,88.0,180.0,108.0,161.0,3491.0,A high performance and generic framework for distributed DNN training.,21.0,21,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,29.0,54.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1315.0,3.0,,,,,,,,,,,,,,,,,,, +664,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,3.0,357.0,99.0,16.0,53.0,17.0,3338.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,21,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,137.0,130.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,1008.0,1008.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +665,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2023-10-12 08:54:08.000000,2023-04-02 02:43:29,2583.0,,1039.0,132.0,1013.0,53.0,72.0,2976.0,a distributed deep learning platform.,81.0,21,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,2.0,2.0,,,,,47.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,701.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,4061.0,3.0,,,,,,,,,,,,,,,,,,, +666,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,357.0,86.0,4.0,3.0,18.0,2105.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,47.0,46.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,1.0,239.0,239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +667,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2023-08-26 21:36:44.000000,2023-08-26 20:55:56,106.0,1.0,229.0,62.0,105.0,24.0,56.0,2082.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,21,True,2021-05-21 00:29:47.000,0.2,2.0,pycls,,,,['pytorch'],16.0,16.0,https://pypi.org/project/pycls,,,49467.0,49467.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +668,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2023-09-01 04:00:40.000000,2023-08-10 17:09:47,309.0,5.0,144.0,24.0,30.0,26.0,31.0,1797.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],27.0,26.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,502.0,686.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4038.0,,,,,3.0,67.0,,,,,,,,,,,,,,,,,, +669,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2023-02-11 12:08:00.000000,2022-11-13 04:54:45,1941.0,,193.0,30.0,423.0,11.0,163.0,1626.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,True,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +670,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 20:51:25.000,2023-04-10 08:32:30.000000,2021-09-29 18:48:52,239.0,,204.0,38.0,6.0,14.0,33.0,1624.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,21,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],51.0,45.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,2245.0,2245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +671,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2023-10-11 20:58:29.000000,2020-12-17 06:57:15,932.0,,295.0,67.0,201.0,1.0,74.0,1558.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,,,10.0,257.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13111.0,3.0,,,,,,,,,,,,,,,,,,, +672,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2023-10-11 21:55:10.000000,2023-10-11 21:55:10,364.0,9.0,132.0,18.0,63.0,17.0,30.0,1492.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,15.0,21,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,493.0,493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +673,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,357.0,63.0,47.0,37.0,72.0,1472.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-06-03 13:51:56.000,1.0.0,5.0,anago,,,,['tensorflow'],32.0,32.0,https://pypi.org/project/anago,,,212.0,212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +674,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2023-08-26 11:12:46.000000,2023-08-12 13:23:12,1192.0,2.0,92.0,31.0,138.0,65.0,128.0,1275.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",22.0,21,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,7.0,7.0,https://pypi.org/project/kp,2022-04-13 10:22:18.000,,167.0,179.0,,,,,,,,3.0,470.0,,,,,,,,,,,,,,,,,, +675,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,221.0,65.0,48.0,36.0,90.0,1243.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],36.0,33.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,3.0,305.0,305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +676,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2023-07-16 15:34:00.704000,2023-07-16 15:16:10,420.0,4.0,142.0,97.0,117.0,33.0,45.0,1080.0,PFRL: a PyTorch-based deep reinforcement learning library.,19.0,21,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,93.0,92.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,378.0,378.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +677,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,208.0,28.0,61.0,54.0,60.0,1051.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,123.0,113.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,10.0,487.0,492.0,,,,,,,,3.0,583.0,,,,,,,,,,,,,,,,,, +678,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2021-10-29 14:44:11.000000,2021-10-29 14:44:08,205.0,,243.0,47.0,45.0,25.0,127.0,957.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,False,2020-10-12 06:56:40.000,0.7.6,2.0,aocr,,,,['tensorflow'],26.0,26.0,https://pypi.org/project/aocr,,,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +679,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,133.0,36.0,16.0,8.0,3.0,917.0,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3547.0,3535.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,12.0,1689.0,1689.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +680,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2023-07-24 18:18:54.000000,2022-05-13 18:48:12,83.0,,181.0,24.0,58.0,8.0,27.0,905.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",16.0,21,False,2022-06-14 18:11:08.000,0.2.0,11.0,saliency,,,,['tensorflow'],73.0,69.0,https://pypi.org/project/saliency,2022-06-14 18:11:08.000,4.0,3769.0,3769.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +681,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2022-07-04 00:10:02.000000,2022-07-04 00:10:02,195.0,,146.0,23.0,45.0,14.0,82.0,899.0,kapre: Keras Audio Preprocessors.,13.0,21,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2320.0,2306.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,14.0,931.0,931.0,,,,,,,,3.0,25.0,,,,,,,,,,,,,,,,,, +682,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 20:26:10.000,2023-10-11 00:13:45.000000,2023-04-27 23:44:02,329.0,,154.0,29.0,108.0,64.0,56.0,843.0,Source code/webpage/demos for the What-If Tool.,20.0,21,True,2021-10-12 17:36:36.000,1.8.1,4.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,,,https://pypi.org/project/witwidget,,,3957.0,56181.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2054397.0,,,,,3.0,,,wit-widget,https://www.npmjs.com/package/wit-widget,865.0,,,,,,,,,,,,,, +683,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-06-10 14:57:37.569000,2023-06-05 01:35:02,228.0,,126.0,17.0,24.0,26.0,39.0,780.0,python partial dependence plot toolbox.,7.0,21,True,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,25438.0,25810.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,18978.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +684,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,153.0,38.0,46.0,39.0,49.0,756.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,93.0,85.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,8.0,462.0,462.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +685,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2023-09-17 15:13:06.000000,2023-06-12 22:12:53,449.0,,74.0,25.0,157.0,50.0,62.0,743.0,,26.0,21,False,2023-09-17 15:13:06.000,1.7.0,8.0,objax,,,,['jax'],41.0,41.0,https://pypi.org/project/objax,,,632.0,632.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +686,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-10-03 19:59:49.000000,2023-08-29 06:49:30,294.0,3.0,59.0,24.0,47.0,10.0,17.0,702.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,21,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],14.0,12.0,https://pypi.org/project/evojax,2023-08-29 06:52:02.000,2.0,521.0,1564.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,20861.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +687,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57,430.0,,67.0,28.0,422.0,10.0,237.0,628.0,torchbearer: A model fitting library for PyTorch.,13.0,21,False,2020-01-31 14:07:22.000,0.5.3,24.0,torchbearer,,,,['pytorch'],84.0,84.0,https://pypi.org/project/torchbearer,,,160.0,160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +688,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,104.0,30.0,1.0,13.0,3.0,627.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,True,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",584.0,579.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,5.0,47489.0,47489.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +689,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57.0,19.0,216.0,49.0,287.0,581.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,53.0,52.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,447.0,447.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +690,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2023-10-12 14:51:11.000000,2023-08-20 23:36:18,861.0,1.0,97.0,44.0,69.0,48.0,23.0,571.0,Bias and Fairness Audit Toolkit.,18.0,21,True,2020-12-16 11:48:14.000,0.42.0,16.0,aequitas,,,,,148.0,142.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000,6.0,1506.0,1506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +691,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 13:42:47.000,2023-02-14 11:18:28.000000,2023-02-14 11:18:28,249.0,,88.0,26.0,31.0,28.0,6.0,562.0,machine learning with logical rules in Python.,19.0,21,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],321.0,314.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,7.0,55340.0,55340.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +692,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2023-10-04 12:32:02.000000,2023-10-04 12:31:54,297.0,5.0,97.0,15.0,48.0,13.0,15.0,532.0,A library of metrics for evaluating recommender systems.,20.0,21,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,45.0,45.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,10926.0,10926.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,, +693,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2023-06-16 16:14:43.440000,2021-12-19 09:41:43,133.0,,51.0,11.0,20.0,11.0,37.0,502.0,Joyplots in Python with matplotlib & pandas.,6.0,21,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,320.0,311.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,15559.0,15967.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,22466.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +694,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2023-08-01 17:51:43.000000,2023-07-18 10:24:07,542.0,8.0,35.0,14.0,222.0,15.0,40.0,473.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,21,True,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,,"['pandas', 'spark']",22.0,20.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,7870.0,7872.0,,,,,,,,3.0,117.0,,,,,,,,,,,,,,,,,, +695,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 10:59:08.000,2023-06-04 11:48:19.000000,2023-03-05 00:16:57,419.0,,96.0,35.0,276.0,68.0,172.0,437.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",19.0,21,True,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,73.0,71.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1099.0,1102.0,,,,,,,,3.0,286.0,,,,,,,,,,,,,,,,,, +696,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2023-10-12 11:13:06.000000,2023-08-29 07:01:44,1555.0,16.0,56.0,6.0,185.0,37.0,75.0,421.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,18.0,21,False,2023-08-10 10:58:42.000,0.4.3,21.0,quantus,,,,,18.0,17.0,https://pypi.org/project/quantus,2023-08-10 10:58:42.000,1.0,399.0,405.0,,,,,,,,3.0,134.0,,,,,,,,,,,,,,,,,, +697,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-02-13 14:39:22.000000,2020-05-11 14:32:38,782.0,,78.0,24.0,11.0,48.0,49.0,412.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,120.0,106.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,14.0,4689.0,4689.0,,,,,,,,3.0,77.0,,,,,,,,,,,,,,,,,, +698,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2023-10-12 11:44:27.000000,2023-10-04 16:30:02,2724.0,106.0,57.0,12.0,241.0,9.0,103.0,402.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,21,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +699,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,47.0,10.0,37.0,28.0,37.0,341.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,206.0,202.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,4.0,4212.0,4212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +700,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2023-08-30 14:32:48.000000,2023-08-27 21:31:43,511.0,1.0,37.0,5.0,12.0,5.0,45.0,299.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,12.0,21,False,2022-05-07 07:58:05.000,0.7.0,22.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],24.0,,https://pypi.org/project/scikit-posthocs,2022-05-07 07:58:05.000,24.0,72276.0,97020.0,https://anaconda.org/conda-forge/scikit-posthocs,2023-06-16 19:23:09.531,890809.0,,,,,3.0,37.0,,,,,,,,,,,,,,,,,, +701,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2023-06-16 19:26:58.237000,2022-12-12 14:53:36,244.0,,25.0,8.0,4.0,22.0,54.0,263.0,Multiple Imputation with LightGBM in Python.,6.0,21,False,2022-12-12 15:14:00.508,5.6.3,44.0,miceforest,conda-forge/miceforest,,,,94.0,92.0,https://pypi.org/project/miceforest,2022-04-15 14:53:33.000,2.0,25873.0,26280.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,10991.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +702,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,2.0,19.0,19.0,464.0,90.0,76.0,224.0,Functional tensors for probabilistic programming.,11.0,21,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],57.0,54.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,3.0,15441.0,15441.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +703,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 16:09:50.000,2023-10-06 13:06:28.000000,2023-08-15 07:38:22,956.0,2.0,532.0,167.0,45.0,36.0,28.0,4035.0,High-performance TensorFlow library for quantitative finance.,47.0,20,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,2.0,426.0,426.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +704,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2023-04-26 19:35:05.000000,2023-04-26 19:32:49,683.0,,482.0,216.0,16.0,24.0,4.0,3201.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2023-04-26 19:36:36.846,0.11.12,13.0,finmarketpy,,,,,10.0,10.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000,,138.0,138.0,,,,,,,,3.0,47.0,,,,,,,,,,,,,,,,,, +705,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,304.0,61.0,242.0,169.0,109.0,2937.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,17.0,20,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,2964.0,2978.0,,,,,,,,3.0,669.0,,,,,,,,,,,,,,,,,, +706,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,443.0,168.0,120.0,14.0,112.0,2915.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,20,True,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,,,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +707,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,327.0,75.0,2.0,18.0,7.0,2902.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],187.0,179.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,8.0,1692.0,1692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +708,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2023-10-10 19:59:54.000000,2021-05-06 12:10:38,127.0,,148.0,50.0,52.0,2.0,30.0,2888.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,20,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,46.0,46.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,42.0,104.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1307.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +709,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,398.0,101.0,54.0,64.0,48.0,2885.0,Quickly search over billions of images.,19.0,20,True,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,684.0,684.0,,,,,,,,3.0,,,,,,,,rhsimplex/image-match,,,,,,,,,,, +710,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-03-20 10:13:27.000000,2022-07-20 20:54:36,1904.0,,322.0,101.0,999.0,87.0,260.0,2812.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +711,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2023-10-11 16:38:54.000000,2021-06-15 18:41:51,22.0,,258.0,33.0,19.0,27.0,37.0,2782.0,A small package to create visualizations of PyTorch execution graphs.,6.0,20,False,,,,,,,,,1337.0,1337.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +712,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,827.0,87.0,30.0,45.0,80.0,2590.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,75.0,68.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,7.0,963.0,963.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +713,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,448.0,128.0,225.0,87.0,183.0,2270.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,True,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +714,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,252.0,54.0,35.0,14.0,105.0,1965.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,1818.0,1818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +715,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,173.0,55.0,895.0,129.0,586.0,1855.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",49.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,20.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1019.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +716,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2023-07-27 13:04:15.000000,2023-07-27 13:04:12,336.0,8.0,332.0,42.0,68.0,153.0,95.0,1818.0,Super easy library for BERT based NLP models.,36.0,20,True,2020-07-09 12:05:40.000,1.8.0,5.0,fast-bert,,,,,,,https://pypi.org/project/fast-bert,,,1005.0,1005.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +717,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,128.0,102.0,150.0,26.0,20.0,1548.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,20,False,2022-02-02 23:30:10.000,0.8.5,232.0,lore,,,,,21.0,20.0,https://pypi.org/project/lore,2022-02-02 23:30:10.000,1.0,621.0,621.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +718,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,157.0,46.0,3.0,13.0,15.0,1530.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],14.0,14.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,3085.0,3085.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +719,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2023-09-15 04:35:29.000000,2023-09-15 04:35:29,906.0,1.0,205.0,56.0,52.0,70.0,148.0,1499.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,35.0,20,True,2019-11-17 09:36:51.000,0.3.4,5.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,,,302.0,334.0,,,,,,,,3.0,2689.0,,,,,,,,,,,,,,,,,, +720,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,401.0,102.0,36.0,11.0,24.0,1398.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +721,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2023-06-16 19:27:46.249000,2022-08-31 13:13:15,103.0,,77.0,39.0,14.0,12.0,26.0,1228.0,A Graph Neural Network Library in Jax.,17.0,20,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],108.0,102.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,6.0,6592.0,6744.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,3659.0,,,,,3.0,,,,,,,,google-deepmind/jraph,,,,,,,,,,, +722,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,184.0,52.0,12.0,16.0,42.0,1009.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],69.0,65.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +723,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,166.0,56.0,14.0,30.0,19.0,1007.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,175.0,163.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,12.0,811.0,1070.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,7518.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +724,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2023-09-12 16:10:40.000000,2020-04-17 02:27:44,79.0,,130.0,26.0,74.0,41.0,36.0,968.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,20,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,2.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,2.0,266584.0,266757.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7480.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +725,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2023-09-04 22:14:55.000000,2023-09-04 22:14:55,303.0,2.0,85.0,18.0,72.0,17.0,42.0,901.0,Audio processing by using pytorch 1D convolution network.,15.0,20,True,2022-10-09 13:50:13.300,0.3.2,39.0,nnAudio,,,,,133.0,130.0,https://pypi.org/project/nnAudio,2021-12-24 09:38:22.000,3.0,2701.0,2701.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +726,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2023-03-30 20:05:58.000000,2019-11-15 21:43:53,221.0,,158.0,76.0,98.0,51.0,43.0,753.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,27523.0,27523.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +727,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,145.0,38.0,33.0,25.0,39.0,746.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",19.0,20,True,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,106.0,90.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,16.0,670.0,670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +728,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2023-07-02 20:27:29.000000,2021-07-30 15:06:27,104.0,,126.0,30.0,28.0,21.0,34.0,738.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],44.0,42.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,2.0,375.0,375.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +729,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 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,52.0,30.0,12.0,11.0,15.0,625.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,202.0,150.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,52.0,5087.0,5087.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +730,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2023-07-28 19:05:13.000000,2022-02-09 16:35:40,142.0,,105.0,24.0,25.0,43.0,61.0,601.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],150.0,148.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1872.0,1986.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3192.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +731,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2023-06-16 16:12:33.889000,2022-06-08 03:46:02,305.0,,102.0,10.0,14.0,5.0,16.0,561.0,Make Waffle Charts in Python.,6.0,20,False,2022-06-08 03:10:36.000,1.1.0,27.0,pywaffle,conda-forge/pywaffle,,,,276.0,273.0,https://pypi.org/project/pywaffle,2022-06-08 03:10:36.000,3.0,4276.0,4463.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,10876.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +732,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,30.0,31.0,5.0,24.0,556.0,Python module for machine learning time series:.,14.0,20,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,47.0,45.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,808.0,808.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +733,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2023-07-09 16:15:44.000000,2023-07-09 16:09:49,767.0,,62.0,18.0,111.0,8.0,47.0,552.0,A simplified framework and utilities for PyTorch.,20.0,20,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],127.0,122.0,https://pypi.org/project/poutyne,2022-04-28 20:18:33.000,5.0,6382.0,6382.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +734,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,164.0,56.0,20.0,39.0,60.0,535.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,31.0,26.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,5.0,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +735,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-03-27 07:10:33.000000,2023-03-27 07:10:33,410.0,,51.0,60.0,8.0,20.0,24.0,498.0,Python library assists deep learning on graphs.,17.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,69.0,68.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,1.0,539.0,539.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,, +736,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2023-09-06 11:08:57.000000,2021-11-18 21:06:54,172.0,,46.0,10.0,9.0,12.0,20.0,480.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2020-09-28 07:19:15.000,0.6.0,13.0,apricot-select,,,,,82.0,74.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000,8.0,4634.0,4634.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,, +737,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2023-05-21 22:48:24.000000,2023-05-21 22:12:32,319.0,,94.0,26.0,6.0,4.0,25.0,467.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,20,True,2023-05-21 22:50:00.406,0.1.716,142.0,autoviml,,,,,24.0,22.0,https://pypi.org/project/autoviml,2022-06-01 23:08:15.000,2.0,1009.0,1009.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +738,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-10-04 01:35:07.000000,2023-09-04 05:41:43,372.0,1.0,97.0,29.0,21.0,37.0,10.0,464.0,A python library for Bayesian time series modeling.,6.0,20,True,2023-05-07 06:30:08.000,0.1.1.12,14.0,pydlm,,,,,34.0,32.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,31870.0,31870.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +739,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2023-09-14 03:34:32.000000,2023-09-14 03:33:36,4705.0,14.0,37.0,13.0,1.0,2.0,80.0,397.0,Deep Learning PyTorch.,1.0,20,True,2023-08-14 03:11:29.000,0.4.7,101.0,carefree-learn,,,,['pytorch'],4.0,4.0,https://pypi.org/project/carefree-learn,2023-08-14 03:11:29.000,,332.0,332.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +740,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,69.0,25.0,48.0,15.0,19.0,385.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,20,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],46.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,46.0,3772.0,4227.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,31440.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +741,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-09-06 17:29:29.000000,2023-09-06 17:29:29,2412.0,2.0,52.0,24.0,231.0,57.0,195.0,376.0,Studio: Simplify and expedite model building process.,24.0,20,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +742,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,26.0,10.0,9.0,2.0,9.0,373.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,20,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],683.0,677.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,147729.0,147729.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +743,TimeSide,Parisson/TimeSide,audio,,https://github.com/Ircam-WAM/TimeSide,https://github.com/Ircam-WAM/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-07-21 09:15:54.000000,2023-02-01 10:38:52,3728.0,,60.0,26.0,110.0,32.0,184.0,353.0,scalable audio processing framework and server written in Python.,22.0,20,False,2023-01-03 17:34:09.000,1.1.3,27.0,TimeSide,,,,,30.0,16.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,14.0,101.0,101.0,,,,,,,,3.0,,,,,,,,Ircam-WAM/TimeSide,,,,,,,,,,, +744,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,46.0,26.0,19.0,15.0,16.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],226.0,219.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,7.0,6353.0,6353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +745,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 21:07:17.000,2023-03-23 15:39:49.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,41.0,8.0,10.0,285.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,20,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",18.0,16.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,230735.0,230735.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +746,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2023-10-07 11:38:54.000000,2023-09-28 13:22:00,601.0,28.0,10.0,22.0,283.0,40.0,68.0,270.0,Serverside scaling for Vega and Altair visualizations.,3.0,20,False,2023-09-28 13:24:51.000,1.4.1,57.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,2.0,,https://pypi.org/project/vegafusion-jupyter,2023-09-28 13:11:11.000,1.0,437.0,4946.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2023-09-29 14:18:22.081,75409.0,,,,,3.0,4663.0,,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,319.0,2023-09-28 13:18:16.441,1.0,hex-inc/vegafusion,,,,,,,,,,, +747,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2023-06-16 13:21:34.221000,2022-09-26 07:14:12,621.0,,65.0,27.0,29.0,30.0,113.0,253.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",19.0,20,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,12.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,12.0,1825.0,2938.0,https://anaconda.org/conda-forge/somoclu,2023-06-16 13:21:34.221,81123.0,,,,,3.0,1809.0,,,,,,,,,,,,,,,,,, +748,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2023-10-10 05:09:51.000000,2023-10-10 05:09:38,628.0,46.0,21.0,4.0,244.0,4.0,,251.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML pipeline from..,9.0,20,False,2023-10-10 05:09:51.000,1.1.207,497.0,upgini,,,,,2.0,2.0,https://pypi.org/project/upgini,2023-10-10 05:09:51.000,,5046.0,5046.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +749,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 15:02:43.000,2023-09-05 14:59:29.000000,2023-09-05 14:59:27,575.0,9.0,33.0,25.0,628.0,21.0,126.0,229.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,20,False,2023-08-10 10:30:37.000,0.13.0,20.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,2023-08-10 10:30:37.000,,1027.0,1048.0,,,,,,,,3.0,965.0,,,,,,,,,,,,,,,,,, +750,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,228.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,376.0,362.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,14.0,2763.0,2767.0,,,,,,,,3.0,365.0,,,,,,,,,,,,,,,,,, +751,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2023-10-05 07:27:18.000000,2023-07-02 18:02:16,1462.0,,44.0,14.0,146.0,17.0,62.0,226.0,Python Implementation and Extension of RDF2Vec.,7.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,36.0,34.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,269.0,269.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +752,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2023-05-01 07:53:03.000000,2023-05-01 07:50:02,24.0,,23.0,8.0,11.0,5.0,9.0,208.0,A Python module to convert natural language numerics into ints and floats.,4.0,20,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,63.0,61.0,https://pypi.org/project/numerizer,2023-01-03 08:08:01.830,2.0,50595.0,50595.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +753,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-09-12 23:51:27.000000,2023-08-26 20:55:56,189.0,1.0,1087.0,99.0,47.0,356.0,276.0,5935.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,19,True,,,,pyslowfast,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pyslowfast,,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +754,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,167.0,65.0,54.0,6.0,44.0,3062.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,19,True,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,4.0,4.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,29.0,30.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,, +755,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2023-10-12 10:58:13.000000,2023-10-12 10:58:06,625.0,50.0,344.0,35.0,745.0,149.0,104.0,2541.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,70.0,19,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +756,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2023-10-09 21:52:48.000000,2023-07-19 02:39:43,450.0,3.0,110.0,19.0,154.0,13.0,104.0,1045.0,A standard framework for modelling Deep Learning Models for tabular data.,16.0,19,True,2023-06-01 06:16:39.000,1.0.2,11.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2021-09-01 11:51:30.000,2.0,3295.0,3295.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,, +757,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,139.0,17.0,11.0,41.0,43.0,995.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],104.0,99.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,6513.0,6513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +758,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2023-08-31 02:18:51.000000,2023-08-31 02:18:51,427.0,5.0,179.0,62.0,7.0,13.0,29.0,965.0,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",5.0,19,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +759,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,144.0,15.0,24.0,58.0,69.0,841.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,85.0,84.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,403.0,403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +760,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,225.0,31.0,38.0,39.0,20.0,801.0,An open source python library for scalable Bayesian optimisation.,13.0,19,True,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,2.0,41258.0,41258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +761,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 19:03:34.000,2023-04-23 10:08:18.000000,2020-04-25 18:37:42,198.0,,100.0,26.0,48.0,19.0,35.0,718.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,23.0,21.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,262.0,262.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +762,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 15:23:32.000,2023-09-01 17:23:43.000000,2023-05-17 01:16:05,274.0,,105.0,19.0,20.0,1.0,82.0,615.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",9.0,19,True,2023-05-17 01:18:01.881,0.0.71,34.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2022-08-16 12:44:30.642,,3781.0,3781.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +763,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2023-10-03 22:41:56.000000,2021-09-16 17:56:31,171.0,,143.0,35.0,80.0,14.0,55.0,591.0,Code for the TCAV ML interpretability project.,19.0,19,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],21.0,18.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +764,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-09-22 14:57:35.000000,2023-09-22 14:57:01,815.0,6.0,38.0,15.0,17.0,,19.0,578.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,19,True,2023-09-22 14:58:06.000,3.1.3,27.0,opytimizer,,,,,15.0,15.0,https://pypi.org/project/opytimizer,2022-05-04 20:51:15.000,,282.0,282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +765,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,70.0,40.0,17.0,13.0,22.0,552.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,20.0,19,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,32.0,28.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,966.0,966.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +766,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2023-08-12 16:28:59.000000,2023-08-12 16:28:59,266.0,1.0,104.0,19.0,56.0,27.0,20.0,458.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,19,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,60.0,52.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000,8.0,2901.0,2901.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +767,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-10-01 09:55:27.000000,2023-10-01 09:55:27,362.0,1.0,95.0,18.0,3.0,5.0,27.0,415.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..",6.0,19,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,48.0,48.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,431.0,431.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +768,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-08-05 05:40:16.000000,2019-03-27 03:17:24,122.0,,107.0,71.0,7.0,15.0,19.0,413.0,semantic similarity framework for knowledge graph.,5.0,19,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,47.0,44.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,3.0,450.0,450.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +769,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 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,2.0,79.0,20.0,247.0,10.0,23.0,388.0,A toolkit that streamlines and automates the generation of model cards.,22.0,19,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,22.0,21.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1366.0,1366.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,, +770,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2023-09-12 10:58:23.000000,2023-09-12 10:58:23,69.0,3.0,56.0,8.0,10.0,9.0,13.0,341.0,TextAugment: Text Augmentation Library.,8.0,19,True,2020-11-05 15:04:26.000,1.3.4,8.0,textaugment,,,,,68.0,64.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000,4.0,3628.0,3629.0,,,,,,,,3.0,61.0,,,,,,,,,,,,,,,,,, +771,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2023-10-09 17:37:30.000000,2023-08-16 21:27:14,316.0,1.0,78.0,26.0,326.0,21.0,9.0,324.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,33.0,19,True,2023-05-03 23:01:17.460,0.44.0,30.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2022-12-13 19:06:03.653,,3580.0,3580.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +772,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-10-12 12:30:09.000000,2023-09-22 16:29:59,398.0,20.0,71.0,23.0,412.0,24.0,51.0,258.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,19,False,2022-06-03 15:53:33.000,0.2.0,18.0,pipeline-dp,,,,,1.0,1.0,https://pypi.org/project/pipeline-dp,2023-08-29 15:48:26.000,,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +773,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2023-07-06 22:38:10.000000,2023-01-26 17:04:18,400.0,,97.0,18.0,386.0,64.0,86.0,237.0,An open-source toolkit for large-scale genomic analysis.,24.0,19,False,2022-04-21 00:32:28.000,1.2.1,15.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2022-04-19 23:43:38.000,,46950.0,47062.0,https://anaconda.org/conda-forge/glow,2023-06-16 19:24:57.965,3604.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +774,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2023-10-10 10:19:53.000000,2023-09-26 05:25:06,416.0,16.0,46.0,13.0,71.0,9.0,32.0,215.0,Represent trained machine learning models as Pyomo optimization formulations.,16.0,19,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,7912.0,7912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +775,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2023-07-26 15:59:24.000000,2023-07-21 09:03:49,260.0,1.0,31.0,12.0,197.0,21.0,73.0,183.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,19,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],28.0,27.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,1153.0,1153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +776,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,765.0,337.0,58.0,2.0,,6593.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,55.0,62.0,,,,,,,,3.0,308.0,,,,,,,,,,,,,,,,,, +777,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2023-09-06 00:58:35.000000,2020-04-18 19:15:25,24.0,,783.0,123.0,34.0,28.0,7.0,6348.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,18,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],30.0,28.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,2.0,680.0,680.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +778,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,872.0,108.0,51.0,42.0,159.0,6097.0,Model parallel transformers in JAX and Haiku.,23.0,18,True,,,,,,,,['jax'],18.0,18.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +779,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,412.0,110.0,83.0,67.0,48.0,2911.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,110.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8432.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +780,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2023-03-03 23:59:33.000000,2022-05-24 23:48:09,791.0,,71.0,23.0,1004.0,127.0,65.0,1630.0,Version control for machine learning.,17.0,18,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,316.0,316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +781,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-07-26 02:42:57.000000,2023-03-14 23:02:49,75.0,,162.0,24.0,18.0,13.0,29.0,1466.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,4.0,4.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,84.0,84.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,, +782,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,250.0,57.0,65.0,8.0,31.0,1336.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,2.0,2.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +783,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,95.0,41.0,13.0,13.0,9.0,1262.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,False,,,,doc2text,,,,,103.0,103.0,https://pypi.org/project/doc2text,,,2842.0,2842.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +784,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2023-06-16 19:21:11.893000,2022-02-14 20:43:06,145.0,,156.0,18.0,41.0,21.0,59.0,836.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,18,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,156.0,153.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,201.0,401.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,7631.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +785,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,188.0,34.0,15.0,18.0,22.0,785.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],14.0,13.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,1.0,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +786,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2023-04-14 10:59:37.000000,2023-04-14 10:59:37,29.0,,76.0,15.0,31.0,6.0,22.0,771.0,Leave One Feature Out Importance.,5.0,18,True,2023-04-15 05:47:00.405,0.3.3,13.0,lofo-importance,,,,,29.0,27.0,https://pypi.org/project/lofo-importance,2022-04-27 12:56:30.000,2.0,1103.0,1103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +787,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,8.0,121.0,43.0,435.0,25.0,130.0,701.0,GPU accelerated signal processing.,46.0,18,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +788,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-10-01 08:59:57.840000,2021-04-11 07:50:00,405.0,,29.0,19.0,42.0,6.0,18.0,593.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,9.0,8.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,222.0,53836.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,1983744.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +789,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,137.0,59.0,72.0,18.0,71.0,523.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",16.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,17.0,17.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +790,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,64.0,11.0,10.0,22.0,41.0,504.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,18,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,40.0,40.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1132.0,1132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +791,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2023-09-25 10:19:47.000000,2022-08-24 08:31:37,29.0,,62.0,6.0,4.0,2.0,26.0,492.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,2.0,18,False,2022-08-24 08:33:07.000,0.2.6,9.0,shap-hypetune,,,,,16.0,15.0,https://pypi.org/project/shap-hypetune,2022-08-24 08:33:00.976,1.0,4020.0,4020.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +792,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 21:00:31.000,2022-03-13 16:33:15.000000,2022-03-13 16:33:15,64.0,,48.0,18.0,7.0,16.0,4.0,449.0,Topological Data Analysis for Python.,4.0,18,False,2021-08-03 00:23:20.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],47.0,47.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,4533.0,4533.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +793,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43,204.0,,87.0,24.0,18.0,7.0,20.0,445.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],12.0,12.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,204.0,204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +794,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2023-09-20 10:23:52.000000,2023-09-20 10:22:51,141.0,51.0,20.0,6.0,41.0,,7.0,424.0,"Multi-Modal AI library for Multi-Lingual Text, Image, and Video Search, Recommendations, and other Vision-Language..",9.0,18,True,2023-09-20 10:23:52.000,0.4.4,20.0,uform,,,,['pytorch'],6.0,6.0,https://pypi.org/project/uform,2023-09-20 10:23:52.000,,554.0,554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +795,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2023-06-16 16:14:07.121000,2020-10-05 06:14:18,178.0,,38.0,11.0,29.0,17.0,17.0,401.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,56.0,54.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,2.0,217.0,438.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,12378.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +796,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2023-10-12 13:28:19.000000,2023-10-12 13:28:12,132.0,21.0,40.0,19.0,161.0,3.0,63.0,398.0,A collection of tools for neural compression enthusiasts.,9.0,18,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +797,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2023-01-15 22:50:39.000000,2023-01-13 21:57:34,832.0,,41.0,,,,,357.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,18,True,2023-03-23 17:16:00.413,0.12.0,48.0,sklearn-evaluation,,,,['sklearn'],5.0,,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000,5.0,45851.0,45851.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +798,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,51.0,11.0,60.0,17.0,41.0,324.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,35.0,31.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,240.0,240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +799,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2023-10-12 14:26:29.000000,2023-10-04 14:18:48,810.0,19.0,21.0,7.0,68.0,26.0,18.0,320.0,Flexible time series feature extraction & processing.,6.0,18,True,2023-02-23 13:56:43.000,0.3.0,36.0,tsflex,conda-forge/tsflex,,,,9.0,9.0,https://pypi.org/project/tsflex,2022-10-11 21:38:11.312,,213.0,913.0,https://anaconda.org/conda-forge/tsflex,2023-06-16 19:26:46.251,18922.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +800,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 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,73.0,19.0,93.0,25.0,18.0,308.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,18,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",11.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,11.0,2604.0,2604.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,, +801,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-01-11 12:25:50.000000,2023-01-11 12:11:20,623.0,,39.0,12.0,60.0,3.0,56.0,304.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,18,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],32.0,30.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,2.0,198.0,198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +802,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2023-07-17 13:39:53.000000,2022-07-12 07:44:31,366.0,,19.0,6.0,31.0,20.0,39.0,258.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,53.0,50.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,257.0,257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +803,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 07:47:03.000,2023-07-28 07:11:13.000000,2019-03-06 20:41:09,5.0,,57.0,5.0,2.0,2.0,1.0,116.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,8307.0,8135.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,172.0,237625.0,237661.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,980.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +804,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1383.0,471.0,21.0,59.0,166.0,6915.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,google-deepmind/lab,,,,,,,,,,, +805,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,259.0,52.0,13.0,20.0,13.0,1529.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,40.0,63.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1683.0,3.0,,,,,,,,,,,,,,,,,,, +806,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,143.0,18.0,11.0,25.0,18.0,1154.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],48.0,46.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +807,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,85.0,34.0,72.0,25.0,30.0,1090.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,17,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,,4497.0,4497.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +808,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,112.0,21.0,37.0,20.0,8.0,1037.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,65.0,64.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +809,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,36.0,13.0,13.0,8.0,16.0,738.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],25.0,25.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2429.0,2539.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2641.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +810,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-05-29 09:36:13.000000,2021-10-13 21:05:33,5078.0,,111.0,20.0,58.0,2.0,13.0,716.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",6.0,17,False,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,2782.0,2782.0,,,,,,,,3.0,28.0,,,,,,,,,,,,,,,,,, +811,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,55.0,13.0,10.0,25.0,17.0,715.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,33.0,33.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,3516.0,3516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +812,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65.0,19.0,21.0,29.0,50.0,669.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,17,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +813,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,94.0,18.0,19.0,3.0,29.0,617.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,17,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,11.0,11.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +814,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,30.0,16.0,148.0,39.0,66.0,454.0,A High Level API for Deep Learning in JAX.,18.0,17,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",40.0,40.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +815,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,29.0,11.0,121.0,31.0,150.0,345.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +816,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2022-12-09 05:56:02.000000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,2.0,26.0,341.0,Camphr - NLP libary for creating pipeline components.,7.0,17,False,2020-08-21 04:45:06.000,0.7.0,21.0,camphr,,,,['spacy'],13.0,13.0,https://pypi.org/project/camphr,,,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +817,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-10-03 16:26:21.000000,2023-10-03 16:26:03,394.0,1.0,128.0,35.0,320.0,79.0,126.0,312.0,Brain Imaging Analysis Kit.,34.0,17,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,1.0,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,1.0,110.0,124.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1322.0,3.0,,,,,,,,,,,,,,,,,,, +818,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2023-03-28 03:38:13.000000,2023-03-28 03:38:13,1094.0,,66.0,28.0,57.0,29.0,32.0,288.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:39:45.000,0.3.0,9.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,26.0,29.0,,,,,,,,3.0,147.0,,,,,,,,,,,,,,,,,, +819,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,11.0,8.0,1.0,10.0,234.0,scikit-learn wrappers for Python fastText.,9.0,17,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],13.0,13.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,1360.0,1360.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +820,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2023-06-15 16:53:56.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,59.0,31.0,47.0,229.0,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],14.0,12.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,2.0,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +821,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,8.0,44.0,222.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,23.0,21.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +822,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2023-10-03 10:26:05.000000,2023-04-22 13:39:45,369.0,,38.0,6.0,131.0,,35.0,219.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2021-06-19 15:04:46.000,1.0,307.0,434.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,2669.0,,,,,3.0,,,,,,,,aniketmaurya/chitra,,,,,,,,,,, +823,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2023-10-12 08:12:31.000000,2023-10-11 14:26:25,827.0,17.0,17.0,8.0,170.0,14.0,20.0,147.0,Toolkit for developing and maintaining ML models.,14.0,17,False,2023-08-24 10:06:11.000,0.0.30,30.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2023-08-24 10:06:11.000,,2155.0,2155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +824,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2023-07-06 21:55:15.000000,2023-01-03 11:24:22,166.0,,1028.0,119.0,24.0,10.0,352.0,4096.0,An Open-Source Package for Neural Relation Extraction (NRE).,12.0,16,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +825,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,523.0,178.0,110.0,50.0,149.0,3895.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +826,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2022-06-22 11:47:45.000000,2022-06-21 18:24:09,30.0,,950.0,60.0,12.0,39.0,25.0,3433.0,Implementation and experiments of graph embedding algorithms.,9.0,16,False,,,,,,,,['sklearn'],29.0,29.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +827,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,550.0,141.0,28.0,214.0,102.0,2856.0,A distributed graph deep learning framework.,3.0,16,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,,,3.0,3.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +828,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,165.0,61.0,10.0,26.0,6.0,1827.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,25.0,25.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,, +829,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,116.0,18.0,295.0,3.0,67.0,1026.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,16,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +830,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2023-09-07 09:23:20.000000,2022-12-30 06:04:33,733.0,,110.0,27.0,108.0,10.0,22.0,957.0,An autoML framework & toolkit for machine learning on graphs.,15.0,16,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,3.0,3.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +831,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,145.0,45.0,5.0,3.0,7.0,941.0,XAI - An eXplainability toolbox for machine learning.,3.0,16,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,28.0,22.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,6.0,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +832,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,56.0,18.0,7.0,1.0,10.0,786.0,MADGRAD Optimization Method.,2.0,16,True,,,4.0,madgrad,,,,['pytorch'],62.0,61.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,3139.0,3139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +833,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,100.0,26.0,101.0,37.0,84.0,702.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,1.0,48.0,54.0,,,,,,,,3.0,411.0,,,,,,,,,,,,,,,,,, +834,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2023-09-26 02:55:16.000000,2023-09-26 02:55:09,610.0,2.0,81.0,25.0,4.0,36.0,42.0,675.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,11.0,16,True,2019-05-07 08:47:56.000,0.3.2,3.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +835,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2022-11-09 16:08:58.000000,2022-11-09 16:08:58,507.0,,98.0,39.0,106.0,11.0,51.0,547.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,11.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,74.0,77.0,,,,,,,,3.0,220.0,,,,,,,vaticle/typedb-ml,,,,,,,,,,, +836,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2023-10-11 20:12:08.000000,2023-10-11 20:12:03,257.0,2.0,71.0,22.0,87.0,19.0,15.0,488.0,"Research workflows made easy, locally and in the Cloud.",10.0,16,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,1.0,1.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +837,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 22:49:49.000,2023-07-14 19:31:30.000000,2023-06-18 21:56:30,277.0,,73.0,14.0,126.0,15.0,136.0,443.0,A Python library for dynamic classifier and ensemble selection.,16.0,16,True,2021-02-08 06:29:25.000,0.3.5,4.0,deslib,,,,['sklearn'],2.0,,https://pypi.org/project/deslib,2021-02-08 06:29:25.000,2.0,821.0,821.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +838,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49,170.0,,38.0,21.0,5.0,11.0,23.0,351.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,False,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,2.0,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +839,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,33.0,24.0,21.0,17.0,10.0,346.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,88.0,81.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,7.0,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +840,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2023-10-05 16:44:37.000000,2023-08-19 12:43:22,678.0,2.0,53.0,27.0,76.0,12.0,24.0,310.0,A Python implementation of active inference for Markov Decision Processes.,14.0,16,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,6.0,6.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +841,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,27.0,22.0,239.0,15.0,25.0,299.0,Textpipe: clean and extract metadata from text.,29.0,16,False,,,,textpipe,,,,,8.0,8.0,https://pypi.org/project/textpipe,,,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +842,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,27.0,11.0,15.0,6.0,4.0,216.0,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,4.0,873.0,873.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +843,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37,127.0,,27.0,5.0,4.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],25.0,25.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,3357.0,3357.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +844,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,20.0,5.0,2.0,15.0,23.0,183.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,16,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],10.0,10.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,224.0,224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +845,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,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,39.0,1.0,,,,162.0,Pytorch framework for doing deep learning on point clouds.,29.0,16,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,621.0,621.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +846,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,14.0,54.0,16.0,50.0,136.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,55.0,50.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,37.0,37.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +847,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2023-07-25 21:26:27.000000,2023-03-31 15:44:32,231.0,,21.0,28.0,52.0,7.0,7.0,102.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,16,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],37.0,37.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +848,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2022-12-20 03:03:28.000000,2022-11-03 07:32:51,114.0,,947.0,100.0,27.0,16.0,353.0,3539.0,An Open-Source Package for Knowledge Embedding (KE).,11.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +849,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,423.0,143.0,72.0,12.0,53.0,2195.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +850,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,463.0,81.0,36.0,83.0,68.0,1674.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,15,False,2019-03-13 20:28:15.000,1.0-dev2,1.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,,,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +851,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,57.0,34.0,22.0,13.0,1267.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,15,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +852,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 12:34:57.000,2023-10-04 00:38:12.000000,2022-04-04 08:29:54,41.0,,294.0,53.0,20.0,42.0,85.0,1231.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +853,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,210.0,40.0,40.0,57.0,34.0,1086.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +854,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,15,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,,452.0,2041.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,61979.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +855,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-12-27 06:48:51.000000,2021-04-16 18:50:54,57.0,,121.0,51.0,21.0,15.0,9.0,824.0,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],14.0,14.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +856,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,183.0,43.0,667.0,11.0,27.0,805.0,Translate - a PyTorch Language Library.,88.0,15,False,,,,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +857,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,109.0,27.0,10.0,24.0,51.0,762.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,False,,,,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,,,2015.0,2015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +858,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,1.0,88.0,17.0,15.0,9.0,22.0,714.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000,0.1.3,5.0,flashtorch,,,,['pytorch'],15.0,15.0,https://pypi.org/project/flashtorch,,,126.0,126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +859,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,50.0,17.0,83.0,18.0,49.0,544.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,True,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +860,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,37.0,47.0,5.0,12.0,402.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,15,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,3.0,2.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +861,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,16.0,39.0,2.0,13.0,394.0,High-level batteries-included neural network training library for Pytorch.,4.0,15,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],9.0,9.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +862,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,18.0,14.0,271.0,70.0,175.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,,,9120.0,9120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +863,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38,203.0,,11.0,6.0,2.0,1.0,5.0,160.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,15,False,2021-12-07 18:44:34.000,0.1.28,24.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,2021-12-07 18:44:34.000,2.0,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +864,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-11-21 22:24:51.000000,2018-09-19 19:27:00,59.0,,818.0,77.0,34.0,116.0,59.0,3163.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +865,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2023-07-06 21:16:22.000000,2022-11-02 02:28:59,99.0,,483.0,67.0,26.0,5.0,97.0,1655.0,An Open-Source Package for Network Embedding (NE).,11.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +866,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,172.0,38.0,10.0,13.0,3.0,1311.0,A web app to generate template code for machine learning.,3.0,14,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +867,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,39.0,26.0,4.0,4.0,2.0,666.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,14,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],7.0,5.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +868,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,87.0,21.0,18.0,22.0,2.0,496.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,14,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,10.0,10.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +869,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,57.0,19.0,6.0,6.0,,383.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,9.0,8.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,40.0,185.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,5656.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +870,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,40.0,12.0,17.0,2.0,5.0,373.0,A PyTorch Graph Neural Network Library.,8.0,14,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +871,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2023-07-06 22:00:59.000000,2022-09-15 18:52:06,185.0,,49.0,10.0,14.0,12.0,17.0,366.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,14,False,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,726.0,726.0,,,,,,,,3.0,12.0,,,,,,,,,,,,,,,,,, +872,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,11.0,6.0,9.0,6.0,299.0,Drift Detection for your PyTorch Models.,4.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],25.0,25.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,102.0,102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +873,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,,2015-10-27 12:28:45.000,2023-10-03 23:52:47.440000,2023-07-17 09:18:00,166.0,1.0,39.0,20.0,2.0,10.0,7.0,277.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,14,False,2020-10-01 13:20:38.000,0.2.3,12.0,deepgraph,conda-forge/deepgraph,,,['pandas'],8.0,8.0,https://pypi.org/project/deepgraph,,,348.0,5062.0,https://anaconda.org/conda-forge/deepgraph,2023-10-03 23:52:47.440,169723.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +874,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,17.0,7.0,2.0,13.0,231.0,Easy training and deployment of seq2seq models.,2.0,14,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,5.0,4.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +875,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2023-02-28 01:21:32.000000,2023-02-24 00:50:55,299.0,,9.0,5.0,3.0,1.0,,124.0,Data Analysis Baseline Library.,23.0,14,False,2023-02-28 01:21:03.335,0.2.5,15.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2022-11-03 05:52:04.962,,1058.0,1058.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +876,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,476.0,110.0,12.0,39.0,8.0,2647.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +877,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,73.0,46.0,4.0,1.0,,2358.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,,1517.0,1520.0,,,,,,,,3.0,49.0,,,,,,,,,,,,,,,,,, +878,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2023-06-16 16:16:18.265000,2021-01-14 02:18:46,15.0,,146.0,32.0,,50.0,59.0,1161.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,False,,,4.0,,milagraph/graphvite,,,,,,,,,,93.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4677.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +879,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2023-05-29 18:33:56.000000,2023-05-29 18:33:56,62.0,,41.0,11.0,7.0,2.0,11.0,621.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,13,True,,,,rliable`,,,,,92.0,92.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +880,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,51.0,16.0,3.0,2.0,1.0,515.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,3.0,3.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +881,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2023-10-02 18:06:17.000000,2023-10-02 18:06:17,148.0,2.0,66.0,20.0,169.0,87.0,17.0,379.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,13,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +882,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,35.0,12.0,8.0,9.0,3.0,322.0,A Python package for time series augmentation.,4.0,13,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,975.0,975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +883,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 17:32:42.000000,2020-05-28 17:31:53,465.0,,19.0,12.0,57.0,3.0,20.0,292.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 17:32:42.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +884,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,28.0,8.0,6.0,7.0,8.0,240.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",3.0,13,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +885,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,11.0,16.0,14.0,5.0,4.0,239.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,13,False,2021-04-20 13:53:12.000,0.1.2,14.0,backprop,,,,,2.0,2.0,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +886,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,33.0,8.0,72.0,20.0,8.0,225.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,13,False,,,,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +887,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2023-07-06 21:22:20.000000,2022-07-05 09:43:05,72.0,,26.0,8.0,16.0,4.0,6.0,190.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +888,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-10-11 11:46:50.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1214.0,4.0,10.0,126.0,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,20.0,31.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,657.0,3.0,,,,,,,,,,,,,,,,,,, +889,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,33.0,14.0,18.0,27.0,16.0,116.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +890,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2023-09-28 07:27:14.000000,2023-08-07 12:45:03,300.0,8.0,7.0,8.0,122.0,11.0,6.0,98.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,13,False,2023-06-28 12:19:42.000,0.2.6,8.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +891,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,,,2023-09-28 11:15:09.000000,,,,,,,,,,Supercharging Machine Learning.,,13,False,2023-09-06 14:49:16.000,3.33.10,261.0,comet_ml,comet_ml,,,,57.0,,https://pypi.org/project/comet_ml,2023-09-28 11:15:09.000,57.0,163433.0,163433.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,8.0,,,,,,, +892,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,395.0,64.0,6.0,62.0,17.0,1708.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +893,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,303.0,87.0,11.0,12.0,6.0,1637.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +894,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,24.0,45.0,13.0,13.0,8.0,9.0,456.0,Library for Textless Spoken Language Processing.,8.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +895,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2023-10-10 14:33:54.000000,2023-10-10 14:33:48,72.0,1.0,57.0,17.0,58.0,6.0,9.0,437.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,12,True,,,,vizseq,,,,,7.0,7.0,https://pypi.org/project/vizseq,,,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +896,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2023-08-27 14:21:13.000000,2022-11-21 12:12:41,1044.0,,11.0,6.0,26.0,1.0,2.0,248.0,Maze Applied Reinforcement Learning Framework.,3.0,12,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],2.0,2.0,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,27.0,34.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,240.0,3.0,,,,,,,,,,,,,,,,,,, +897,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 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,26.0,22.0,44.0,1.0,5.0,199.0,An automatic ML model optimization tool.,11.0,12,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +898,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,6.0,,2.0,4.0,116.0,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +899,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2023-09-21 17:36:41.000000,2023-09-21 17:36:39,208.0,1.0,12.0,13.0,5.0,3.0,2.0,109.0,"Better, faster hyper-parameter optimization.",8.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,24.0,24.0,,,,,,,,3.0,,,,,,,,genixpro/hypermax,,,,,,,,,,, +900,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,7.0,4.0,5.0,14.0,91.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,451.0,451.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +901,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,11.0,14.0,26.0,4.0,13.0,84.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +902,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,12.0,7.0,20.0,3.0,,49.0,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,27.0,27.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +903,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2023-03-14 16:25:22.000000,2022-02-09 22:20:11,9.0,,416.0,96.0,17.0,48.0,15.0,3243.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +904,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,112.0,47.0,13.0,7.0,20.0,952.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +905,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,143.0,40.0,7.0,15.0,14.0,910.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +906,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,7.0,4.0,14.0,18.0,82.0,"An intelligent, flexible grammar of machine learning.",3.0,11,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +907,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,74.0,17.0,5.0,2.0,12.0,507.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +908,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,20.0,12.0,41.0,7.0,12.0,358.0,A library for distributed ML training with PyTorch.,6.0,10,True,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +909,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,24.0,17.0,51.0,11.0,1.0,128.0,Simple Distributed Deep Learning on TensorFlow.,11.0,10,False,,,2.0,autodist,,,,['tensorflow'],1.0,1.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +910,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2022-09-29 08:50:58.000000,2022-09-29 08:50:40,122.0,,12.0,12.0,15.0,,,43.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,10,False,2021-04-22 15:20:54.000,0.0.12,11.0,bias-detector,,,,,1.0,1.0,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +911,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,31.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,10,False,,,,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +912,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,10.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +913,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,138.0,Python package to generate stock portfolios.,4.0,8,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,,,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +914,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2022-11-23 19:03:57.000000,2022-11-22 16:44:39,2.0,,3.0,5.0,,1.0,,51.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,19.0,19.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +915,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,8,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 75b2a113..ecec2e87 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +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._ -- torchvision (πŸ₯‡42 Β· ⭐ 15K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- InsightFace (πŸ₯ˆ37 Β· ⭐ 18K Β· πŸ“ˆ) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- stanza (πŸ₯‡35 Β· ⭐ 6.8K Β· πŸ“ˆ) - Stanford NLP Python library for tokenization, sentence.. Apache-2 -- Tesseract (πŸ₯ˆ34 Β· ⭐ 5.1K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR).. Apache-2 -- TFlearn (πŸ₯‰33 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT -- opencv-python (πŸ₯ˆ33 Β· ⭐ 3.7K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.6K Β· πŸ“ˆ) - Neural Network Libraries. Apache-2 -- polyglot (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 -- pythreejs (πŸ₯‰27 Β· ⭐ 900 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 -- nx-altair (πŸ₯‰16 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT +- PyTorch Geometric (πŸ₯‡38 Β· ⭐ 19K Β· πŸ“ˆ) - Graph Neural Network Library for PyTorch. MIT +- PyFlink (πŸ₯ˆ37 Β· ⭐ 22K Β· πŸ“ˆ) - Apache Flink Python API. Apache-2 +- glfw (πŸ₯ˆ35 Β· ⭐ 11K Β· πŸ“ˆ) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- torchaudio (πŸ₯‡35 Β· ⭐ 2.2K Β· πŸ“ˆ) - Data manipulation and transformation for audio signal.. BSD-2 +- datalad (πŸ₯ˆ30 Β· ⭐ 460 Β· πŸ“ˆ) - Keep code, data, containers under control with git and git-annex. MIT +- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- pygal (πŸ₯ˆ27 Β· ⭐ 2.6K Β· πŸ“ˆ) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- Feature Engine (πŸ₯‰25 Β· ⭐ 1.5K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 +- torch-cluster (πŸ₯ˆ24 Β· ⭐ 700 Β· πŸ“ˆ) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +- CometML (πŸ₯‰13 Β· πŸ“ˆ) - Supercharging Machine Learning. ❗Unlicensed ## 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._ -- networkx (πŸ₯‡41 Β· ⭐ 13K Β· πŸ“‰) - Network Analysis in Python. ❗Unlicensed -- PyTorch Geometric (πŸ₯‡33 Β· ⭐ 19K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT -- torchaudio (πŸ₯ˆ31 Β· ⭐ 2.2K Β· πŸ“‰) - Data manipulation and transformation for audio signal.. BSD-2 -- datalad (πŸ₯‰26 Β· ⭐ 450 Β· πŸ“‰) - Keep code, data, containers under control with git and git-.. ❗Unlicensed -- pygal (πŸ₯ˆ23 Β· ⭐ 2.6K Β· πŸ“‰) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 -- DeepSpeech (πŸ₯‰22 Β· ⭐ 23K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 -- SUOD (πŸ₯‰19 Β· ⭐ 350 Β· πŸ“‰) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 -- Feature Engine (πŸ₯‰16 Β· ⭐ 35 Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 -- CometML (πŸ₯‰5 Β· πŸ“‰) - ❗Unlicensed +- torchvision (πŸ₯‡38 Β· ⭐ 15K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +- Theano (πŸ₯ˆ34 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define,.. ❗Unlicensed +- InsightFace (πŸ₯ˆ33 Β· ⭐ 18K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed +- HoloViews (πŸ₯ˆ31 Β· ⭐ 2.5K Β· πŸ“‰) - With Holoviews, your data visualizes itself. BSD-3 +- Tesseract (πŸ₯ˆ29 Β· ⭐ 5.1K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR).. Apache-2 +- igraph (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ“‰) - Python interface for igraph. ❗️GPL-2.0 +- opencv-python (πŸ₯‰27 Β· ⭐ 3.8K Β· πŸ“‰) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +- CNTK (πŸ₯‰26 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed +- langid (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. ❗Unlicensed +- eli5 (πŸ₯‰22 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT