π A ranked list of awesome machine learning Python libraries. Updated weekly.
This curated list contains 890 awesome open-source projects with a total of 3.2M stars grouped into 33 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome!
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- Machine Learning Frameworks 55 projects
- Data Visualization 50 projects
- Text Data & NLP 90 projects
- Image Data 56 projects
- Graph Data 32 projects
- Audio Data 27 projects
- Geospatial Data 21 projects
- Financial Data 23 projects
- Time Series Data 23 projects
- Medical Data 19 projects
- Tabular Data 3 projects
- Optical Character Recognition 11 projects
- Data Containers & Structures 29 projects
- Data Loading & Extraction 1 projects
- Web Scraping & Crawling 1 projects
- Data Pipelines & Streaming 42 projects
- Distributed Machine Learning 29 projects
- Hyperparameter Optimization & AutoML 47 projects
- Reinforcement Learning 21 projects
- Recommender Systems 15 projects
- Privacy Machine Learning 6 projects
- Workflow & Experiment Tracking 36 projects
- Model Serialization & Deployment 14 projects
- Model Interpretability 50 projects
- Vector Similarity Search (ANN) 12 projects
- Probabilistics & Statistics 23 projects
- Adversarial Robustness 9 projects
- GPU Utilities 18 projects
- Tensorflow Utilities 15 projects
- Sklearn Utilities 17 projects
- Pytorch Utilities 31 projects
- Database Clients 1 projects
- Others 57 projects
- π₯π₯π₯ Combined project-quality score
- βοΈ Star count from GitHub
- π£ New project (less than 6 months old)
- π€ Inactive project (6 months no activity)
- π Dead project (12 months no activity)
- ππ Project is trending up or down
- β Project was recently added
- βοΈ Warning (e.g. missing/risky license)
- π¨βπ» Contributors count from GitHub
- π Fork count from GitHub
- π Issue count from GitHub
- β±οΈ Last update timestamp on package manager
- π₯ Download count from package manager
- π¦ Number of dependent projects
Tensorflow related project
Sklearn related project
PyTorch related project
MxNet related project
Apache Spark related project
Jupyter related project
PaddlePaddle related project
Pandas related project
General-purpose machine learning and deep learning frameworks.
Tensorflow (π₯55 Β· β 160K) - An Open Source Machine Learning Framework for Everyone. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
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GitHub (π¨βπ» 3.9K Β· π 86K Β· π¦ 180K Β· π 34K - 7% open Β· β±οΈ 13.01.2022):
git clone https://github.com/tensorflow/tensorflow
-
PyPi (π₯ 13M / month Β· π¦ 14K Β· β±οΈ 22.12.2021):
pip install tensorflow
-
Conda (π₯ 3M Β· β±οΈ 08.12.2021):
conda install -c conda-forge tensorflow
-
Docker Hub (π₯ 64M Β· β 2K Β· β±οΈ 13.01.2022):
docker pull tensorflow/tensorflow
scikit-learn (π₯49 Β· β 49K) - scikit-learn: machine learning in Python. BSD-3
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
-
GitHub (π¨βπ» 2.4K Β· π 22K Β· π₯ 760 Β· π¦ 300K Β· π 9.9K - 25% open Β· β±οΈ 13.01.2022):
git clone https://github.com/scikit-learn/scikit-learn
-
PyPi (π₯ 23M / month Β· π¦ 24K Β· β±οΈ 25.12.2021):
pip install scikit-learn
-
Conda (π₯ 11M Β· β±οΈ 26.12.2021):
conda install -c conda-forge scikit-learn
XGBoost (π₯44 Β· β 22K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-
GitHub (π¨βπ» 540 Β· π 8.2K Β· π₯ 3.6K Β· π¦ 26K Β· π 4.3K - 7% open Β· β±οΈ 13.01.2022):
git clone https://github.com/dmlc/xgboost
-
PyPi (π₯ 8M / month Β· π¦ 1.3K Β· β±οΈ 24.11.2021):
pip install xgboost
-
Conda (π₯ 2.2M Β· β±οΈ 20.11.2021):
conda install -c conda-forge xgboost
StatsModels (π₯44 Β· β 7K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-
GitHub (π¨βπ» 350 Β· π 2.4K Β· π₯ 26 Β· π¦ 56K Β· π 4.7K - 47% open Β· β±οΈ 13.01.2022):
git clone https://github.com/statsmodels/statsmodels
-
PyPi (π₯ 6.8M / month Β· π¦ 4.4K Β· β±οΈ 15.12.2021):
pip install statsmodels
-
Conda (π₯ 5.5M Β· β±οΈ 13.11.2021):
conda install -c conda-forge statsmodels
pytorch-lightning (π₯42 Β· β 17K) - The lightweight PyTorch wrapper for high-performance.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 600 Β· π 2.1K Β· π₯ 5K Β· π¦ 6.4K Β· π 4.5K - 10% open Β· β±οΈ 13.01.2022):
git clone https://github.com/PyTorchLightning/pytorch-lightning
-
PyPi (π₯ 850K / month Β· π¦ 290 Β· β±οΈ 05.01.2022):
pip install pytorch-lightning
-
Conda (π₯ 390K Β· β±οΈ 05.01.2022):
conda install -c conda-forge pytorch-lightning
LightGBM (π₯42 Β· β 13K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-
GitHub (π¨βπ» 250 Β· π 3.5K Β· π₯ 130K Β· π¦ 11K Β· π 2.5K - 6% open Β· β±οΈ 09.01.2022):
git clone https://github.com/microsoft/LightGBM
-
PyPi (π₯ 10M / month Β· π¦ 570 Β· β±οΈ 07.01.2022):
pip install lightgbm
-
Conda (π₯ 850K Β· β±οΈ 08.01.2022):
conda install -c conda-forge lightgbm
PaddlePaddle (π₯41 Β· β 17K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
![](https://camo.githubusercontent.com/df4aa06e008c7d72f77e38763829d6e570a6d60c0b2797a91b3bbf9dced3e4f3/68747470733a2f2f6769742e696f2f4a4c79314d)
jax (π₯41 Β· β 16K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
MXNet (π₯40 Β· β 20K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2
![](https://camo.githubusercontent.com/e33851ee28ff48309d1f11fe8fbf83b31729a7f211f2eddf3093a85d716e6b1e/68747470733a2f2f6769742e696f2f4a4c793158)
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GitHub (π¨βπ» 970 Β· π 6.9K Β· π₯ 24K Β· π 9.6K - 20% open Β· β±οΈ 13.01.2022):
git clone https://github.com/apache/incubator-mxnet
-
PyPi (π₯ 250K / month Β· π¦ 280 Β· β±οΈ 18.12.2021):
pip install mxnet
-
Conda (π₯ 6.9K Β· π¦ 5 Β· β±οΈ 29.02.2020):
conda install -c anaconda mxnet
Catboost (π₯40 Β· β 6.3K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
Jina (π₯37 Β· β 13K) - Cloud-native neural search framework for kind of data. Apache-2
-
GitHub (π¨βπ» 140 Β· π 1.8K Β· π¦ 210 Β· π 1.3K - 6% open Β· β±οΈ 13.01.2022):
git clone https://github.com/jina-ai/jina
-
PyPi (π₯ 13K / month Β· β±οΈ 11.01.2022):
pip install jina
-
Docker Hub (π₯ 1M Β· β 6 Β· β±οΈ 11.01.2022):
docker pull jinaai/jina
Theano (π₯37 Β· β 9.5K) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
Thinc (π₯36 Β· β 2.4K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
Vowpal Wabbit (π₯33 Β· β 7.8K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
Ignite (π₯33 Β· β 3.8K) - High-level library to help with training and evaluating neural.. BSD-3
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
Flax (π₯33 Β· β 2.5K) - Flax is a neural network library for JAX that is designed for.. Apache-2
jax
tensorflow-upstream (π₯33 Β· β 580) - TensorFlow ROCm port. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Turi Create (π₯32 Β· β 11K) - Turi Create simplifies the development of custom machine learning.. BSD-3
tensorpack (π₯32 Β· β 6.1K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
einops (π₯30 Β· β 4.1K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT
Neural Network Libraries (π₯30 Β· β 2.5K) - Neural Network Libraries. Apache-2
ktrain (π₯30 Β· β 940) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
mace (π₯25 Β· β 4.6K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
-
GitHub (π¨βπ» 63 Β· π 780 Β· π₯ 1.4K Β· π 650 - 6% open Β· β±οΈ 13.01.2022):
git clone https://github.com/XiaoMi/mace
Neural Tangents (π₯25 Β· β 1.7K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
Haiku (π₯25 Β· β 1.7K) - JAX-based neural network library. Apache-2
-
GitHub (π¨βπ» 56 Β· π 120 Β· π¦ 290 Β· π 130 - 25% open Β· β±οΈ 12.01.2022):
git clone https://github.com/deepmind/dm-haiku
Objax (π₯22 Β· β 670 Β· π) - Objax is a machine learning framework that provides an Object.. Apache-2
jax
ThunderSVM (π₯21 Β· β 1.4K Β· π€) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
Torchbearer (π₯21 Β· β 620 Β· π€) - torchbearer: A model fitting library for PyTorch. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
NeoML (π₯18 Β· β 660) - Machine learning framework for both deep learning and traditional.. Apache-2
-
GitHub (π¨βπ» 28 Β· π 100 Β· π 70 - 40% open Β· β±οΈ 12.01.2022):
git clone https://github.com/neoml-lib/neoml
ThunderGBM (π₯17 Β· β 620 Β· π€) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
Show 12 hidden projects...
- dlib (π₯38 Β· β 11K) - A toolkit for making real world machine learning and data analysis..
βοΈBSL-1.0
- TFlearn (π₯32 Β· β 9.6K Β· π) - Deep learning library featuring a higher-level API for TensorFlow.
MIT
- CNTK (π₯31 Β· β 17K Β· π) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.
MIT
- MindsDB (π₯29 Β· β 4.3K) - Predictive AI layer for existing databases.
βοΈGPL-3.0
- Lasagne (π₯29 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano.
MIT
- NuPIC (π₯28 Β· β 6.3K Β· π) - Numenta Platform for Intelligent Computing is an implementation..
βοΈAGPL-3.0
- SHOGUN (π₯26 Β· β 2.9K Β· π) - Unified and efficient Machine Learning.
BSD-3
- xLearn (π₯25 Β· β 3K Β· π) - High performance, easy-to-use, and scalable machine learning (ML)..
Apache-2
- NeuPy (π₯25 Β· β 700 Β· π) - NeuPy is a Tensorflow based python library for prototyping and building..
MIT
- neon (π₯22 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best..
Apache-2
- chefboost (π₯20 Β· β 300) - A Lightweight Decision Tree Framework supporting regular algorithms:..
MIT
- StarSpace (π₯16 Β· β 3.7K Β· π) - Learning embeddings for classification, retrieval and ranking.
MIT
General-purpose and task-specific data visualization libraries.
Matplotlib (π₯49 Β· β 15K) - matplotlib: plotting with Python. Python-2.0
-
GitHub (π¨βπ» 1.3K Β· π 6.2K Β· π¦ 490K Β· π 8.5K - 20% open Β· β±οΈ 13.01.2022):
git clone https://github.com/matplotlib/matplotlib
-
PyPi (π₯ 24M / month Β· π¦ 52K Β· β±οΈ 11.12.2021):
pip install matplotlib
-
Conda (π₯ 11M Β· β±οΈ 13.12.2021):
conda install -c conda-forge matplotlib
Seaborn (π₯42 Β· β 9.1K) - Statistical data visualization in Python. BSD-3
-
GitHub (π¨βπ» 160 Β· π 1.5K Β· π₯ 210 Β· π¦ 130K Β· π 2K - 4% open Β· β±οΈ 02.01.2022):
git clone https://github.com/mwaskom/seaborn
-
PyPi (π₯ 5.2M / month Β· π¦ 8.8K Β· β±οΈ 16.08.2021):
pip install seaborn
-
Conda (π₯ 3.2M Β· β±οΈ 16.08.2021):
conda install -c conda-forge seaborn
Plotly (π₯41 Β· β 11K) - The interactive graphing library for Python (includes Plotly Express). MIT
-
GitHub (π¨βπ» 190 Β· π 2.1K Β· π¦ 9 Β· π 2.2K - 47% open Β· β±οΈ 21.12.2021):
git clone https://github.com/plotly/plotly.py
-
PyPi (π₯ 6.3M / month Β· π¦ 3.8K Β· β±οΈ 21.12.2021):
pip install plotly
-
Conda (π₯ 2.2M Β· β±οΈ 21.12.2021):
conda install -c conda-forge plotly
-
npm (π₯ 44K / month Β· π¦ 4 Β· β±οΈ 12.01.2021):
npm install plotlywidget
dash (π₯38 Β· β 16K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required. MIT
pandas-profiling (π₯36 Β· β 8.4K) - Create HTML profiling reports from pandas DataFrame.. MIT
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
![](https://camo.githubusercontent.com/a39359bdb070443676a01e530b6fa2099799b8be1355f2a2d0bf6bc6287e06fe/68747470733a2f2f6769742e696f2f4a4c793153)
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GitHub (π¨βπ» 83 Β· π 1.2K Β· π¦ 6.4K Β· π 530 - 18% open Β· β±οΈ 08.01.2022):
git clone https://github.com/pandas-profiling/pandas-profiling
-
PyPi (π₯ 960K / month Β· π¦ 140 Β· β±οΈ 27.09.2021):
pip install pandas-profiling
-
Conda (π₯ 180K Β· β±οΈ 28.09.2021):
conda install -c conda-forge pandas-profiling
PyQtGraph (π₯34 Β· β 2.7K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
HoloViews (π₯34 Β· β 2.1K) - With Holoviews, your data visualizes itself. BSD-3
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (π¨βπ» 120 Β· π 340 Β· π 2.7K - 29% open Β· β±οΈ 18.12.2021):
git clone https://github.com/holoviz/holoviews
-
PyPi (π₯ 220K / month Β· π¦ 190 Β· β±οΈ 16.12.2021):
pip install holoviews
-
Conda (π₯ 630K Β· β±οΈ 13.01.2022):
conda install -c conda-forge holoviews
-
npm (π₯ 1.7K / month Β· β±οΈ 24.05.2020):
npm install @pyviz/jupyterlab_pyviz
Perspective (π₯32 Β· β 4.1K) - A data visualization and analytics component, especially.. Apache-2
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (π¨βπ» 65 Β· π 430 Β· π¦ 220 Β· π 490 - 14% open Β· β±οΈ 06.01.2022):
git clone https://github.com/finos/perspective
-
PyPi (π₯ 3K / month Β· π¦ 9 Β· β±οΈ 06.01.2022):
pip install perspective-python
-
npm (π₯ 1.7K / month Β· β±οΈ 05.01.2022):
npm install @finos/perspective-jupyterlab
VisPy (π₯32 Β· β 2.8K) - High-performance interactive 2D/3D data visualization library. BSD-3
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (π¨βπ» 170 Β· π 580 Β· π¦ 660 Β· π 1.3K - 22% open Β· β±οΈ 10.12.2021):
git clone https://github.com/vispy/vispy
-
PyPi (π₯ 35K / month Β· π¦ 93 Β· β±οΈ 24.11.2021):
pip install vispy
-
Conda (π₯ 200K Β· β±οΈ 24.11.2021):
conda install -c conda-forge vispy
-
npm (π₯ 13 / month Β· β±οΈ 15.03.2020):
npm install vispy
bqplot (π₯31 Β· β 3.2K) - Plotting library for IPython/Jupyter notebooks. Apache-2
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (π¨βπ» 55 Β· π 460 Β· π¦ 29 Β· π 580 - 38% open Β· β±οΈ 07.01.2022):
git clone https://github.com/bqplot/bqplot
-
PyPi (π₯ 47K / month Β· π¦ 90 Β· β±οΈ 07.01.2022):
pip install bqplot
-
Conda (π₯ 910K Β· β±οΈ 07.01.2022):
conda install -c conda-forge bqplot
-
npm (π₯ 17K / month Β· π¦ 10 Β· β±οΈ 07.01.2022):
npm install bqplot
PyVista (π₯31 Β· β 1.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (π¨βπ» 68 Β· π 210 Β· π₯ 390 Β· π¦ 560 Β· π 660 - 26% open Β· β±οΈ 11.01.2022):
git clone https://github.com/pyvista/pyvista
-
PyPi (π₯ 32K / month Β· π¦ 85 Β· β±οΈ 11.01.2022):
pip install pyvista
-
Conda (π₯ 140K Β· β±οΈ 11.01.2022):
conda install -c conda-forge pyvista
datashader (π₯30 Β· β 2.7K) - Quickly and accurately render even the largest data. BSD-3
-
GitHub (π¨βπ» 45 Β· π 330 Β· π¦ 930 Β· π 480 - 26% open Β· β±οΈ 25.12.2021):
git clone https://github.com/holoviz/datashader
-
PyPi (π₯ 46K / month Β· π¦ 74 Β· β±οΈ 09.06.2021):
pip install datashader
-
Conda (π₯ 250K Β· β±οΈ 10.06.2021):
conda install -c conda-forge datashader
data-validation (π₯30 Β· β 600) - Library for exploring and validating machine learning.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
missingno (π₯29 Β· β 3K) - Missing data visualization module for Python. MIT
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GitHub (π¨βπ» 17 Β· π 380 Β· π¦ 5.9K Β· π 110 - 9% open Β· β±οΈ 04.07.2021):
git clone https://github.com/ResidentMario/missingno
-
PyPi (π₯ 650K / month Β· π¦ 110 Β· β±οΈ 04.07.2021):
pip install missingno
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Conda (π₯ 140K Β· β±οΈ 15.02.2020):
conda install -c conda-forge missingno
Facets Overview (π₯28 Β· β 6.8K Β· π€) - Visualizations for machine learning datasets. Apache-2
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
D-Tale (π₯28 Β· β 2.9K) - Visualizer for pandas data structures. βοΈLGPL-2.1
![](https://camo.githubusercontent.com/a39359bdb070443676a01e530b6fa2099799b8be1355f2a2d0bf6bc6287e06fe/68747470733a2f2f6769742e696f2f4a4c793153)
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
hvPlot (π₯27 Β· β 500) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
pythreejs (π₯26 Β· β 780) - A Jupyter - Three.js bridge. BSD-3
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
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GitHub (π¨βπ» 29 Β· π 160 Β· π¦ 19 Β· π 210 - 31% open Β· β±οΈ 06.12.2021):
git clone https://github.com/jupyter-widgets/pythreejs
-
PyPi (π₯ 28K / month Β· π¦ 34 Β· β±οΈ 26.02.2021):
pip install pythreejs
-
Conda (π₯ 360K Β· β±οΈ 02.03.2021):
conda install -c conda-forge pythreejs
-
npm (π₯ 4.5K / month Β· π¦ 7 Β· β±οΈ 26.02.2021):
npm install jupyter-threejs
HyperTools (π₯25 Β· β 1.7K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
Chartify (π₯24 Β· β 3.1K Β· π€) - Python library that makes it easy for data scientists to create.. Apache-2
AutoViz (π₯24 Β· β 600) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
Pandas-Bokeh (π₯23 Β· β 740) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
![](https://camo.githubusercontent.com/a39359bdb070443676a01e530b6fa2099799b8be1355f2a2d0bf6bc6287e06fe/68747470733a2f2f6769742e696f2f4a4c793153)
python-ternary (π₯22 Β· β 510) - Ternary plotting library for python with matplotlib. MIT
-
GitHub (π¨βπ» 27 Β· π 130 Β· π₯ 17 Β· π¦ 81 Β· π 120 - 21% open Β· β±οΈ 21.10.2021):
git clone https://github.com/marcharper/python-ternary
-
PyPi (π₯ 15K / month Β· π¦ 21 Β· β±οΈ 17.02.2021):
pip install python-ternary
-
Conda (π₯ 61K Β· β±οΈ 17.02.2021):
conda install -c conda-forge python-ternary
Sweetviz (π₯21 Β· β 1.9K) - Visualize and compare datasets, target values and associations, with one.. MIT
Show 11 hidden projects...
- plotnine (π₯31 Β· β 2.9K) - A grammar of graphics for Python.
βοΈGPL-2.0
- cartopy (π₯31 Β· β 980) - Cartopy - a cartographic python library with matplotlib support.
βοΈLGPL-3.0
- PandasGUI (π₯25 Β· β 2.5K) - A GUI for Pandas DataFrames.
βοΈMIT-0
- Multicore-TSNE (π₯24 Β· β 1.7K Β· π) - Parallel t-SNE implementation with Python and Torch..
BSD-3
- pivottablejs (π₯22 Β· β 450 Β· π) - Dragndrop Pivot Tables and Charts for Jupyter/IPython..
MIT
- ivis (π₯19 Β· β 250) - Dimensionality reduction in very large datasets using Siamese..
Apache-2
- animatplot (π₯17 Β· β 390 Β· π) - A python package for animating plots build on matplotlib.
MIT
- nx-altair (π₯17 Β· β 190 Β· π) - Draw interactive NetworkX graphs with Altair.
MIT
- pdvega (π₯16 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite.
MIT
- data-describe (π₯16 Β· β 290) - datadescribe: Pythonic EDA Accelerator for Data Science.
Apache-2
- nptsne (π₯15 Β· β 27 Β· π€) - nptsne is a numpy compatible python binary package that offers a..
Apache-2
Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation.
transformers (π₯47 Β· β 57K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
-
GitHub (π¨βπ» 1.1K Β· π 13K Β· π₯ 1.4K Β· π¦ 21K Β· π 8.6K - 4% open Β· β±οΈ 13.01.2022):
git clone https://github.com/huggingface/transformers
-
PyPi (π₯ 2.8M / month Β· π¦ 720 Β· β±οΈ 22.12.2021):
pip install transformers
-
Conda (π₯ 90K Β· β±οΈ 23.12.2021):
conda install -c conda-forge transformers
nltk (π₯45 Β· β 10K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
spaCy (π₯44 Β· β 22K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-
GitHub (π¨βπ» 640 Β· π 3.7K Β· π₯ 3.1K Β· π¦ 34K Β· π 5K - 2% open Β· β±οΈ 13.01.2022):
git clone https://github.com/explosion/spaCy
-
PyPi (π₯ 4M / month Β· π¦ 2.2K Β· β±οΈ 15.12.2021):
pip install spacy
-
Conda (π₯ 2.5M Β· β±οΈ 14.12.2021):
conda install -c conda-forge spacy
gensim (π₯41 Β· β 13K) - Topic Modelling for Humans. βοΈLGPL-2.1
-
GitHub (π¨βπ» 420 Β· π 4.1K Β· π₯ 3.5K Β· π¦ 30K Β· π 1.7K - 21% open Β· β±οΈ 24.12.2021):
git clone https://github.com/RaRe-Technologies/gensim
-
PyPi (π₯ 10M / month Β· π¦ 2.8K Β· β±οΈ 17.09.2021):
pip install gensim
-
Conda (π₯ 760K Β· β±οΈ 09.11.2021):
conda install -c conda-forge gensim
Rasa (π₯39 Β· β 13K Β· π) - Open source machine learning framework to automate text- and.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
flair (π₯38 Β· β 11K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
fairseq (π₯36 Β· β 15K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
ChatterBot (π₯35 Β· β 12K Β· π€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3
ParlAI (π₯35 Β· β 8.6K) - A framework for training and evaluating AI models on a variety of.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
TextBlob (π₯34 Β· β 8K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
-
GitHub (π¨βπ» 35 Β· π 1.1K Β· π₯ 97 Β· π¦ 17K Β· π 260 - 39% open Β· β±οΈ 22.10.2021):
git clone https://github.com/sloria/TextBlob
-
PyPi (π₯ 750K / month Β· π¦ 1.4K Β· β±οΈ 15.12.2021):
pip install textblob
-
Conda (π₯ 150K Β· β±οΈ 24.02.2019):
conda install -c conda-forge textblob
sentence-transformers (π₯34 Β· β 6.8K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
sentencepiece (π₯33 Β· β 5.6K Β· π) - Unsupervised text tokenizer for Neural Network-based.. Apache-2
-
GitHub (π¨βπ» 57 Β· π 740 Β· π₯ 19K Β· π¦ 12K Β· π 490 - 9% open Β· β±οΈ 02.07.2021):
git clone https://github.com/google/sentencepiece
-
PyPi (π₯ 3.4M / month Β· π¦ 280 Β· β±οΈ 18.06.2021):
pip install sentencepiece
-
Conda (π₯ 140K Β· β±οΈ 05.11.2021):
conda install -c conda-forge sentencepiece
Tokenizers (π₯33 Β· β 5.1K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-
GitHub (π¨βπ» 50 Β· π 420 Β· π¦ 40 Β· π 560 - 28% open Β· β±οΈ 12.01.2022):
git clone https://github.com/huggingface/tokenizers
-
PyPi (π₯ 3.6M / month Β· π¦ 93 Β· β±οΈ 04.01.2022):
pip install tokenizers
-
Conda (π₯ 110K Β· β±οΈ 05.01.2022):
conda install -c conda-forge tokenizers
TensorFlow Text (π₯32 Β· β 880) - Making text a first-class citizen in TensorFlow. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
snowballstemmer (π₯32 Β· β 540 Β· π) - Snowball compiler and stemming algorithms. BSD-3
-
GitHub (π¨βπ» 28 Β· π 150 Β· π¦ 4 Β· π 69 - 36% open Β· β±οΈ 17.12.2021):
git clone https://github.com/snowballstem/snowball
-
PyPi (π₯ 4.9M / month Β· π¦ 6.7K Β· β±οΈ 16.11.2021):
pip install snowballstemmer
-
Conda (π₯ 3.6M Β· β±οΈ 17.11.2021):
conda install -c conda-forge snowballstemmer
stanza (π₯31 Β· β 5.9K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2
DeepPavlov (π₯31 Β· β 5.6K) - An open source library for deep learning end-to-end dialog.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Dedupe (π₯31 Β· β 3.3K) - A python library for accurate and scalable fuzzy matching, record.. MIT
jellyfish (π₯31 Β· β 1.6K) - a python library for doing approximate and phonetic matching of.. BSD-2
-
GitHub (π¨βπ» 25 Β· π 150 Β· π¦ 3.1K Β· π 110 - 7% open Β· β±οΈ 07.01.2022):
git clone https://github.com/jamesturk/jellyfish
-
PyPi (π₯ 1.6M / month Β· π¦ 400 Β· β±οΈ 07.01.2022):
pip install jellyfish
-
Conda (π₯ 170K Β· β±οΈ 09.01.2022):
conda install -c conda-forge jellyfish
haystack (π₯29 Β· β 3.6K) - Haystack is an open source NLP framework that leverages Transformer.. Apache-2
ftfy (π₯29 Β· β 3.2K Β· π€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
Sumy (π₯29 Β· β 2.7K) - Module for automatic summarization of text documents and HTML pages. Apache-2
TextDistance (π₯29 Β· β 2.6K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
GluonNLP (π₯29 Β· β 2.4K) - Toolkit that enables easy text preprocessing, datasets loading.. Apache-2
![](https://camo.githubusercontent.com/e33851ee28ff48309d1f11fe8fbf83b31729a7f211f2eddf3093a85d716e6b1e/68747470733a2f2f6769742e696f2f4a4c793158)
T5 (π₯28 Β· β 3.9K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
vaderSentiment (π₯27 Β· β 3.3K Β· π€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
neuralcoref (π₯27 Β· β 2.5K Β· π€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
-
GitHub (π¨βπ» 21 Β· π 430 Β· π₯ 300 Β· π¦ 440 Β· π 290 - 16% open Β· β±οΈ 22.06.2021):
git clone https://github.com/huggingface/neuralcoref
-
PyPi (π₯ 28K / month Β· π¦ 14 Β· β±οΈ 08.04.2019):
pip install neuralcoref
-
Conda (π₯ 10K Β· β±οΈ 21.02.2020):
conda install -c conda-forge neuralcoref
fastNLP (π₯27 Β· β 2.5K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2
PyTextRank (π₯27 Β· β 1.7K) - Python implementation of TextRank for phrase extraction and.. MIT
spacy-transformers (π₯27 Β· β 1.1K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT
spacy
Ciphey (π₯26 Β· β 9.3K) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
-
GitHub (π¨βπ» 46 Β· π 580 Β· π 280 - 17% open Β· β±οΈ 03.11.2021):
git clone https://github.com/Ciphey/Ciphey
-
PyPi (π₯ 10K / month Β· β±οΈ 06.06.2021):
pip install ciphey
-
Docker Hub (π₯ 14K Β· β 5 Β· β±οΈ 16.11.2021):
docker pull remnux/ciphey
Snips NLU (π₯26 Β· β 3.6K Β· π€) - Snips Python library to extract meaning from text. Apache-2
scattertext (π₯26 Β· β 1.7K) - Beautiful visualizations of how language differs among document.. Apache-2
-
GitHub (π¨βπ» 12 Β· π 240 Β· π¦ 250 Β· π 85 - 20% open Β· β±οΈ 15.11.2021):
git clone https://github.com/JasonKessler/scattertext
-
PyPi (π₯ 3.3K / month Β· π¦ 10 Β· β±οΈ 15.11.2021):
pip install scattertext
-
Conda (π₯ 59K Β· β±οΈ 15.11.2021):
conda install -c conda-forge scattertext
SciSpacy (π₯26 Β· β 1.1K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
english-words (π₯24 Β· β 6K) - A text file containing 479k English words for all your.. Unlicense
MatchZoo (π₯24 Β· β 3.6K Β· π€) - Facilitating the design, comparison and sharing of deep.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
pytorch-nlp (π₯24 Β· β 2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
Sockeye (π₯24 Β· β 1K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
![](https://camo.githubusercontent.com/e33851ee28ff48309d1f11fe8fbf83b31729a7f211f2eddf3093a85d716e6b1e/68747470733a2f2f6769742e696f2f4a4c793158)
Kashgari (π₯23 Β· β 2.2K) - Kashgari is a production-level NLP Transfer learning framework.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
lightseq (π₯23 Β· β 1.9K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2
FARM (π₯23 Β· β 1.4K) - Fast & easy transfer learning for NLP. Harvesting language models.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
sense2vec (π₯23 Β· β 1.3K) - Contextually-keyed word vectors. MIT
-
GitHub (π¨βπ» 17 Β· π 220 Β· π₯ 24K Β· π¦ 110 Β· π 110 - 17% open Β· β±οΈ 16.08.2021):
git clone https://github.com/explosion/sense2vec
-
PyPi (π₯ 3.4K / month Β· π¦ 8 Β· β±οΈ 19.04.2021):
pip install sense2vec
-
Conda (π₯ 24K Β· β±οΈ 14.07.2021):
conda install -c conda-forge sense2vec
gpt-2-simple (π₯22 Β· β 2.8K) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
NLP Architect (π₯22 Β· β 2.8K) - A model library for exploring state-of-the-art deep learning.. Apache-2
Texthero (π₯22 Β· β 2.4K) - Text preprocessing, representation and visualization from zero to hero. MIT
YouTokenToMe (π₯22 Β· β 780 Β· π€) - Unsupervised text tokenizer focused on computational efficiency. MIT
pySBD (π₯22 Β· β 400 Β· π€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
DeepMatcher (π₯21 Β· β 4K Β· π€) - Python package for performing Entity and Text Matching using.. BSD-3
anaGo (π₯21 Β· β 1.4K Β· π€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
TextBox (π₯18 Β· β 320) - TextBox is an open-source library for building text generation system. MIT
OpenNRE (π₯17 Β· β 3.5K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
-
GitHub (π¨βπ» 10 Β· π 910 Β· π 340 - 6% open Β· β±οΈ 09.12.2021):
git clone https://github.com/thunlp/OpenNRE
VizSeq (π₯14 Β· β 380) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
BLINK (π₯13 Β· β 780 Β· π€) - Entity Linker solution. MIT
-
GitHub (π¨βπ» 16 Β· π 140 Β· π 77 - 62% open Β· β±οΈ 02.04.2021):
git clone https://github.com/facebookresearch/BLINK
Show 23 hidden projects...
- fastText (π₯33 Β· β 23K Β· π) - Library for fast text representation and classification.
MIT
- fuzzywuzzy (π₯33 Β· β 8.6K) - Fuzzy String Matching in Python.
βοΈGPL-2.0
- langid (π₯27 Β· β 1.9K Β· π) - Stand-alone language identification system.
BSD-3
- polyglot (π₯26 Β· β 1.9K Β· π) - Multilingual text (NLP) processing toolkit.
βοΈGPL-3.0
- flashtext (π₯25 Β· β 5K Β· π) - Extract Keywords from sentence or Replace keywords in sentences.
MIT
- textgenrnn (π₯25 Β· β 4.6K Β· π) - Easily train your own text-generating neural network of any..
MIT
- Texar (π₯23 Β· β 2.2K Β· π) - Toolkit for Machine Learning, Natural Language Processing, and..
Apache-2
- stop-words (π₯23 Β· β 140 Β· π) - Get list of common stop words in various languages in Python.
BSD-3
- DELTA (π₯21 Β· β 1.5K Β· π) - DELTA is a deep learning based natural language and speech..
Apache-2
- textpipe (π₯20 Β· β 290 Β· π€) - Textpipe: clean and extract metadata from text.
MIT
- pyfasttext (π₯20 Β· β 230 Β· π) - Yet another Python binding for fastText.
βοΈGPL-3.0
- fastT5 (π₯19 Β· β 240) - boost inference speed of T5 models by 5x & reduce the model size by 3x.
Apache-2
- skift (π₯18 Β· β 220) - scikit-learn wrappers for Python fastText.
MIT
- NeuroNER (π₯17 Β· β 1.6K Β· π) - Named-entity recognition using neural networks. Easy-to-use and..
MIT
- nboost (π₯17 Β· β 600 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying..
Apache-2
- textaugment (π₯17 Β· β 200) - TextAugment: Text Augmentation Library.
MIT
- NeuralQA (π₯15 Β· β 220 Β· π) - NeuralQA: A Usable Library for Question Answering on Large Datasets..
MIT
- Headliner (π₯14 Β· β 230 Β· π) - Easy training and deployment of seq2seq models.
MIT
- numerizer (π₯14 Β· β 130) - A Python module to convert natural language numerics into ints and..
MIT
- TransferNLP (π₯13 Β· β 290 Β· π) - NLP library designed for reproducible experimentation..
MIT
- ONNX-T5 (π₯13 Β· β 190 Β· π€) - Summarization, translation, sentiment-analysis, text-generation..
Apache-2
- textvec (π₯13 Β· β 180 Β· π) - Text vectorization tool to outperform TFIDF for classification..
MIT
- spacy-dbpedia-spotlight (π₯9 Β· β 48) - A spaCy wrapper for DBpedia Spotlight.
MIT
spacy
Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification.
scikit-image (π₯44 Β· β 4.7K) - Image processing in Python. BSD-2
-
GitHub (π¨βπ» 540 Β· π 1.9K Β· π¦ 90K Β· π 2.3K - 13% open Β· β±οΈ 11.01.2022):
git clone https://github.com/scikit-image/scikit-image
-
PyPi (π₯ 4.9M / month Β· π¦ 9K Β· β±οΈ 15.12.2021):
pip install scikit-image
-
Conda (π₯ 3.1M Β· β±οΈ 17.12.2021):
conda install -c conda-forge scikit-image
torchvision (π₯41 Β· β 11K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
imageio (π₯37 Β· β 980 Β· π) - Python library for reading and writing image data. BSD-2
-
GitHub (π¨βπ» 83 Β· π 190 Β· π₯ 100 Β· π¦ 54K Β· π 410 - 17% open Β· β±οΈ 11.01.2022):
git clone https://github.com/imageio/imageio
-
PyPi (π₯ 16M / month Β· π¦ 2.5K Β· β±οΈ 23.12.2021):
pip install imageio
-
Conda (π₯ 2.5M Β· β±οΈ 29.12.2021):
conda install -c conda-forge imageio
detectron2 (π₯35 Β· β 20K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
PyTorch Image Models (π₯35 Β· β 16K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 64 Β· π 2.5K Β· π₯ 830K Β· π¦ 1.7K Β· π 440 - 12% open Β· β±οΈ 08.01.2022):
git clone https://github.com/rwightman/pytorch-image-models
Albumentations (π₯35 Β· β 9.5K) - Fast image augmentation library and an easy-to-use wrapper.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 100 Β· π 1.2K Β· π¦ 6.2K Β· π 570 - 41% open Β· β±οΈ 24.12.2021):
git clone https://github.com/albumentations-team/albumentations
-
PyPi (π₯ 190K / month Β· π¦ 180 Β· β±οΈ 04.10.2021):
pip install albumentations
-
Conda (π₯ 30K Β· β±οΈ 15.07.2021):
conda install -c conda-forge albumentations
InsightFace (π₯34 Β· β 11K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
![](https://camo.githubusercontent.com/e33851ee28ff48309d1f11fe8fbf83b31729a7f211f2eddf3093a85d716e6b1e/68747470733a2f2f6769742e696f2f4a4c793158)
opencv-python (π₯34 Β· β 2.5K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
Face Recognition (π₯33 Β· β 43K Β· π€) - The worlds simplest facial recognition api for Python.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
MMDetection (π₯33 Β· β 18K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 290 Β· π 6.4K Β· π¦ 230 Β· π 5K - 8% open Β· β±οΈ 30.12.2021):
git clone https://github.com/open-mmlab/mmdetection
imageai (π₯30 Β· β 6.8K Β· π€) - A python library built to empower developers to build applications.. MIT
imutils (π₯30 Β· β 3.9K Β· π€) - A series of convenience functions to make basic image processing.. MIT
PaddleSeg (π₯30 Β· β 3.5K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
![](https://camo.githubusercontent.com/df4aa06e008c7d72f77e38763829d6e570a6d60c0b2797a91b3bbf9dced3e4f3/68747470733a2f2f6769742e696f2f4a4c79314d)
deepface (π₯30 Β· β 3K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender,.. MIT
ImageHash (π₯30 Β· β 2.2K) - A Python Perceptual Image Hashing Module. BSD-2
-
GitHub (π¨βπ» 20 Β· π 280 Β· π¦ 4.1K Β· π 100 - 12% open Β· β±οΈ 07.09.2021):
git clone https://github.com/JohannesBuchner/imagehash
-
PyPi (π₯ 1.1M / month Β· π¦ 320 Β· β±οΈ 15.07.2021):
pip install ImageHash
-
Conda (π₯ 160K Β· β±οΈ 15.07.2021):
conda install -c conda-forge imagehash
vit-pytorch (π₯28 Β· β 8.2K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
PaddleDetection (π₯28 Β· β 6.1K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
![](https://camo.githubusercontent.com/df4aa06e008c7d72f77e38763829d6e570a6d60c0b2797a91b3bbf9dced3e4f3/68747470733a2f2f6769742e696f2f4a4c79314d)
-
GitHub (π¨βπ» 78 Β· π 1.5K Β· π¦ 7 Β· π 2.9K - 30% open Β· β±οΈ 12.01.2022):
git clone https://github.com/PaddlePaddle/PaddleDetection
Face Alignment (π₯27 Β· β 5.5K) - 2D and 3D Face alignment library build using pytorch. BSD-3
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
vidgear (π₯27 Β· β 2.1K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
MMF (π₯26 Β· β 4.8K) - A modular framework for vision & language multimodal research from.. BSD-3
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
mtcnn (π₯26 Β· β 1.7K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
facenet-pytorch (π₯25 Β· β 2.6K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
tensorflow-graphics (π₯25 Β· β 2.6K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
pytorchvideo (π₯25 Β· β 2.2K) - A deep learning library for video understanding research. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
CellProfiler (π₯25 Β· β 640) - An open-source application for biological image analysis. BSD-3
Image Super-Resolution (π₯24 Β· β 3.4K Β· π€) - Super-scale your images and run experiments with.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
-
GitHub (π¨βπ» 10 Β· π 580 Β· π¦ 69 Β· π 190 - 42% open Β· β±οΈ 02.06.2021):
git clone https://github.com/idealo/image-super-resolution
-
PyPi (π₯ 5.7K / month Β· π¦ 5 Β· β±οΈ 08.01.2020):
pip install ISR
-
Docker Hub (π₯ 200 Β· β±οΈ 01.04.2019):
docker pull idealo/image-super-resolution-gpu
vissl (π₯24 Β· β 2.3K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
deep-daze (π₯23 Β· β 4K) - Simple command line tool for text to image generation using OpenAIs CLIP.. MIT
layout-parser (π₯23 Β· β 2.8K) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
Classy Vision (π₯22 Β· β 1.4K) - An end-to-end PyTorch framework for image and video.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 67 Β· π 240 Β· π 110 - 46% open Β· β±οΈ 28.12.2021):
git clone https://github.com/facebookresearch/ClassyVision
-
PyPi (π₯ 770 / month Β· π¦ 2 Β· β±οΈ 09.07.2021):
pip install classy_vision
-
Conda (π₯ 11K Β· β±οΈ 11.12.2020):
conda install -c conda-forge classy_vision
image-match (π₯20 Β· β 2.7K) - Quickly search over billions of images. Apache-2
Norfair (π₯20 Β· β 1.2K) - Lightweight Python library for adding real-time object tracking to any.. BSD-3
DEβ«ΆTR (π₯18 Β· β 8.2K) - End-to-End Object Detection with Transformers. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 24 Β· π 1.4K Β· π 400 - 33% open Β· β±οΈ 18.10.2021):
git clone https://github.com/facebookresearch/detr
PySlowFast (π₯18 Β· β 4.5K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 25 Β· π 850 Β· π¦ 6 Β· π 480 - 50% open Β· β±οΈ 28.10.2021):
git clone https://github.com/facebookresearch/SlowFast
Caer (π₯18 Β· β 580) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
pycls (π₯16 Β· β 1.8K) - Codebase for Image Classification Research, written in PyTorch. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 13 Β· π 210 Β· π¦ 4 Β· π 77 - 27% open Β· β±οΈ 19.08.2021):
git clone https://github.com/facebookresearch/pycls
Show 11 hidden projects...
- imgaug (π₯35 Β· β 12K Β· π) - Image augmentation for machine learning experiments.
MIT
- glfw (π₯35 Β· β 8.5K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.
βοΈZlib
- Pillow-SIMD (π₯31 Β· β 1.7K) - The friendly PIL fork.
βοΈPIL
- PyTorch3D (π₯28 Β· β 5.5K) - PyTorch3D is FAIRs library of reusable components for..
βUnlicensed
- chainercv (π₯27 Β· β 1.5K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision.
MIT
- segmentation_models (π₯25 Β· β 3.6K Β· π) - Segmentation models with pretrained backbones. Keras..
MIT
- Image Deduplicator (π₯23 Β· β 3.9K Β· π) - Finding duplicate images made easy!.
Apache-2
- nude.py (π₯22 Β· β 830 Β· π) - Nudity detection with Python.
MIT
- Luminoth (π₯21 Β· β 2.4K Β· π) - Deep Learning toolkit for Computer Vision.
BSD-3
- solt (π₯16 Β· β 250 Β· π) - Streaming over lightweight data transformations.
MIT
- Torch Points 3D (π₯13 Β· β 1 Β· π) - Pytorch framework for doing deep learning on point..
BSD-3
Libraries for graph processing, clustering, embedding, and machine learning tasks.
networkx (π₯44 Β· β 10K) - Network Analysis in Python. BSD-3
-
GitHub (π¨βπ» 560 Β· π 2.5K Β· π₯ 57 Β· π¦ 95K Β· π 2.8K - 11% open Β· β±οΈ 12.01.2022):
git clone https://github.com/networkx/networkx
-
PyPi (π₯ 14M / month Β· π¦ 13K Β· β±οΈ 15.12.2021):
pip install networkx
-
Conda (π₯ 5.3M Β· β±οΈ 26.10.2021):
conda install -c conda-forge networkx
PyTorch Geometric (π₯35 Β· β 14K) - Graph Neural Network Library for PyTorch. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
dgl (π₯35 Β· β 8.8K) - Python package built to ease deep learning on graph, on top of existing.. Apache-2
StellarGraph (π₯27 Β· β 2.3K) - StellarGraph - Machine Learning on Graphs. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
ogb (π₯27 Β· β 1.2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
Paddle Graph Learning (π₯27 Β· β 1.2K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
![](https://camo.githubusercontent.com/df4aa06e008c7d72f77e38763829d6e570a6d60c0b2797a91b3bbf9dced3e4f3/68747470733a2f2f6769742e696f2f4a4c79314d)
pygraphistry (π₯25 Β· β 1.5K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
PyKEEN (π₯25 Β· β 660) - A Python library for learning and evaluating knowledge graph embeddings. MIT
PyTorch-BigGraph (π₯22 Β· β 3K) - Generate embeddings from large-scale graph-structured.. BSD-3
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
AmpliGraph (π₯22 Β· β 1.7K Β· π€) - Python library for Representation Learning on Knowledge.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
pytorch_geometric_temporal (π₯22 Β· β 1.3K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
graph4nlp (π₯21 Β· β 1.2K) - Graph4nlp is the library for the easy use of Graph Neural.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
torch-cluster (π₯20 Β· β 460) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
OpenKE (π₯15 Β· β 2.9K Β· π€) - An Open-Source Package for Knowledge Embedding (KE). MIT
-
GitHub (π¨βπ» 10 Β· π 840 Β· π 380 - 17% open Β· β±οΈ 06.04.2021):
git clone https://github.com/thunlp/OpenKE
GraphVite (π₯12 Β· β 990 Β· π€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
Show 13 hidden projects...
- igraph (π₯31 Β· β 920) - Python interface for igraph.
βοΈGPL-2.0
- pygal (π₯29 Β· β 2.4K) - PYthon svg GrAph plotting Library.
βοΈLGPL-3.0
- Karate Club (π₯24 Β· β 1.5K) - Karate Club: An API Oriented Open-source Python Framework for..
βοΈGPL-3.0
- DeepWalk (π₯21 Β· β 2.4K Β· π) - DeepWalk - Deep Learning for Graphs.
βοΈGPL-3.0
- graph-nets (π₯20 Β· β 5.1K Β· π) - Build Graph Nets in Tensorflow.
Apache-2
- DIG (π₯20 Β· β 1K) - A library for graph deep learning research.
βοΈGPL-3.0
- Sematch (π₯17 Β· β 370 Β· π) - semantic similarity framework for knowledge graph.
Apache-2
- DeepGraph (π₯17 Β· β 250 Β· π€) - Analyze Data with Pandas-based Networks. Documentation:.
BSD-3
- Euler (π₯16 Β· β 2.7K Β· π) - A distributed graph deep learning framework.
Apache-2
- GraphEmbedding (π₯16 Β· β 2.5K Β· π) - Implementation and experiments of graph embedding..
MIT
- pyRDF2Vec (π₯16 Β· β 140) - Python Implementation and Extension of RDF2Vec.
MIT
- GraphSAGE (π₯14 Β· β 2.6K Β· π) - Representation learning on large graphs using stochastic..
MIT
- OpenNE (π₯14 Β· β 1.5K Β· π) - An Open-Source Package for Network Embedding (NE).
MIT
Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks.
Magenta (π₯32 Β· β 17K Β· π€) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Pydub (π₯32 Β· β 5.8K Β· π€) - Manipulate audio with a simple and easy high level interface. MIT
torchaudio (π₯32 Β· β 1.5K Β· π) - Data manipulation and transformation for audio signal.. BSD-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
speechbrain (π₯31 Β· β 3.6K) - A PyTorch-based Speech Toolkit. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
SpeechRecognition (π₯30 Β· β 6K) - Speech recognition module for Python, supporting several.. BSD-3
-
GitHub (π¨βπ» 41 Β· π 2K Β· π 510 - 45% open Β· β±οΈ 14.12.2021):
git clone https://github.com/Uberi/speech_recognition
-
PyPi (π₯ 250K / month Β· π¦ 670 Β· β±οΈ 05.12.2017):
pip install SpeechRecognition
-
Conda (π₯ 130K Β· β±οΈ 13.12.2021):
conda install -c conda-forge speechrecognition
pyAudioAnalysis (π₯30 Β· β 4.5K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
audioread (π₯29 Β· β 390) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT
tinytag (π₯27 Β· β 500) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT
python-soundfile (π₯25 Β· β 430) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
audiomentations (π₯24 Β· β 830) - A Python library for audio data augmentation. Inspired by.. MIT
DeepSpeech (π₯22 Β· β 18K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
TTS (π₯22 Β· β 5.5K Β· π€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
-
GitHub (π¨βπ» 56 Β· π 860 Β· π₯ 1.6K Β· π 520 - 2% open Β· β±οΈ 12.02.2021):
git clone https://github.com/mozilla/TTS
Show 6 hidden projects...
- aubio (π₯29 Β· β 2.6K) - a library for audio and music analysis.
βοΈGPL-3.0
- Essentia (π₯28 Β· β 2K) - C++ library for audio and music analysis, description and..
βοΈAGPL-3.0
- python_speech_features (π₯24 Β· β 2K Β· π) - This library provides common speech features for ASR..
MIT
- Dejavu (π₯22 Β· β 5.6K Β· π) - Audio fingerprinting and recognition in Python.
MIT
- Muda (π₯19 Β· β 200 Β· π€) - A library for augmenting annotated audio data.
ISC
- Julius (π₯16 Β· β 250) - Fast PyTorch based DSP for audio and 1D signals.
MIT
Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding.
pydeck (π₯42 Β· β 9.4K) - WebGL2 powered visualization framework. MIT
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (π¨βπ» 190 Β· π 1.7K Β· π¦ 3.4K Β· π 2.3K - 5% open Β· β±οΈ 13.01.2022):
git clone https://github.com/visgl/deck.gl
-
PyPi (π₯ 620K / month Β· π¦ 15 Β· β±οΈ 25.10.2021):
pip install pydeck
-
Conda (π₯ 65K Β· β±οΈ 26.10.2021):
conda install -c conda-forge pydeck
-
npm (π₯ 200K / month Β· π¦ 380 Β· β±οΈ 30.12.2021):
npm install deck.gl
Rasterio (π₯37 Β· β 1.7K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-
GitHub (π¨βπ» 120 Β· π 460 Β· π₯ 740 Β· π¦ 4.2K Β· π 1.5K - 9% open Β· β±οΈ 06.01.2022):
git clone https://github.com/mapbox/rasterio
-
PyPi (π₯ 620K / month Β· π¦ 730 Β· β±οΈ 15.10.2021):
pip install rasterio
-
Conda (π₯ 1.4M Β· β±οΈ 04.01.2022):
conda install -c conda-forge rasterio
folium (π₯36 Β· β 5.6K) - Python Data. Leaflet.js Maps. MIT
-
GitHub (π¨βπ» 130 Β· π 2K Β· π¦ 14K Β· π 920 - 22% open Β· β±οΈ 08.01.2022):
git clone https://github.com/python-visualization/folium
-
PyPi (π₯ 680K / month Β· π¦ 630 Β· β±οΈ 19.11.2021):
pip install folium
-
Conda (π₯ 500K Β· β±οΈ 03.12.2021):
conda install -c conda-forge folium
GeoPandas (π₯36 Β· β 2.9K) - Python tools for geographic data. BSD-3
![](https://camo.githubusercontent.com/a39359bdb070443676a01e530b6fa2099799b8be1355f2a2d0bf6bc6287e06fe/68747470733a2f2f6769742e696f2f4a4c793153)
-
GitHub (π¨βπ» 160 Β· π 660 Β· π₯ 1.4K Β· π¦ 12K Β· π 1.3K - 32% open Β· β±οΈ 12.01.2022):
git clone https://github.com/geopandas/geopandas
-
PyPi (π₯ 1.8M / month Β· π¦ 1.1K Β· β±οΈ 16.10.2021):
pip install geopandas
-
Conda (π₯ 1.3M Β· β±οΈ 01.12.2021):
conda install -c conda-forge geopandas
pyproj (π₯35 Β· β 700) - Python interface to PROJ (cartographic projections and coordinate.. MIT
ipyleaflet (π₯32 Β· β 1.2K) - A Jupyter - Leaflet.js bridge. MIT
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (π¨βπ» 73 Β· π 320 Β· π¦ 1.4K Β· π 470 - 38% open Β· β±οΈ 22.12.2021):
git clone https://github.com/jupyter-widgets/ipyleaflet
-
PyPi (π₯ 43K / month Β· π¦ 100 Β· β±οΈ 06.12.2021):
pip install ipyleaflet
-
Conda (π₯ 790K Β· β±οΈ 09.12.2021):
conda install -c conda-forge ipyleaflet
-
npm (π₯ 36K / month Β· π¦ 2 Β· β±οΈ 06.12.2021):
npm install jupyter-leaflet
ArcGIS API (π₯29 Β· β 1.2K) - Documentation and samples for ArcGIS API for Python. Apache-2
-
GitHub (π¨βπ» 74 Β· π 830 Β· π₯ 1.4K Β· π 400 - 27% open Β· β±οΈ 12.01.2022):
git clone https://github.com/Esri/arcgis-python-api
-
PyPi (π₯ 48K / month Β· π¦ 18 Β· β±οΈ 04.10.2021):
pip install arcgis
-
Docker Hub (π₯ 5.5K Β· β 33 Β· β±οΈ 05.10.2021):
docker pull esridocker/arcgis-api-python-notebook
EarthPy (π₯26 Β· β 320) - A package built to support working with spatial data using open source.. BSD-3
Mapbox GL (π₯24 Β· β 590 Β· π€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
Show 6 hidden projects...
- Geocoder (π₯33 Β· β 1.4K Β· π) - Python Geocoder.
MIT
- Satpy (π₯30 Β· β 790) - Python package for earth-observing satellite data processing.
βοΈGPL-3.0
- Sentinelsat (π₯29 Β· β 700) - Search and download Copernicus Sentinel satellite images.
βοΈGPL-3.0
- gmaps (π₯24 Β· β 730 Β· π) - Google maps for Jupyter notebooks.
BSD-3
- pymap3d (π₯23 Β· β 220) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef..
BSD-2
- geoplotlib (π₯21 Β· β 950 Β· π) - python toolbox for visualizing geographical data and making maps.
MIT
Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data.
Qlib (π₯30 Β· β 7.8K) - Qlib is an AI-oriented quantitative investment platform, which aims to.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
Alpha Vantage (π₯28 Β· β 3.6K Β· π€) - A python wrapper for Alpha Vantage API for financial data. MIT
TensorTrade (π₯26 Β· β 3.7K) - An open source reinforcement learning framework for training,.. Apache-2
Enigma Catalyst (π₯26 Β· β 2.3K) - An Algorithmic Trading Library for Crypto-Assets in Python. Apache-2
stockstats (π₯26 Β· β 930) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
Crypto Signals (π₯21 Β· β 3.7K Β· π€) - Github.com/CryptoSignal - #1 Quant Trading & Technical.. MIT
-
GitHub (π¨βπ» 28 Β· π 990 Β· π 250 - 21% open Β· β±οΈ 28.06.2021):
git clone https://github.com/CryptoSignal/crypto-signal
-
Docker Hub (π₯ 140K Β· β 7 Β· β±οΈ 03.09.2020):
docker pull shadowreaver/crypto-signal
tf-quant-finance (π₯21 Β· β 2.9K) - High-performance TensorFlow library for quantitative.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
finmarketpy (π₯20 Β· β 2.8K) - Python library for backtesting trading strategies & analyzing.. Apache-2
Show 10 hidden projects...
- zipline (π₯33 Β· β 15K Β· π) - Zipline, a Pythonic Algorithmic Trading Library.
Apache-2
- pyfolio (π₯30 Β· β 4.2K Β· π) - Portfolio and risk analytics in Python.
Apache-2
- arch (π₯29 Β· β 850) - ARCH models in Python.
βοΈNCSA
- backtrader (π₯28 Β· β 8K) - Python Backtesting library for trading strategies.
βοΈGPL-3.0
- Alphalens (π₯27 Β· β 2.2K Β· π) - Performance analysis of predictive (alpha) stock factors.
Apache-2
- empyrical (π₯26 Β· β 880 Β· π) - Common financial risk and performance metrics. Used by zipline..
Apache-2
- PyAlgoTrade (π₯25 Β· β 3.6K Β· π) - Python Algorithmic Trading Library.
Apache-2
- FinTA (π₯22 Β· β 1.4K) - Common financial technical indicators implemented in Pandas.
βοΈLGPL-3.0
- Backtesting.py (π₯20 Β· β 2K) - Backtest trading strategies in Python.
βοΈAGPL-3.0
- surpriver (π₯12 Β· β 1.4K Β· π) - Find big moving stocks before they move using machine..
βοΈGPL-3.0
Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data.
Prophet (π₯32 Β· β 14K) - Tool for producing high quality forecasts for time series data that has.. MIT
pmdarima (π₯31 Β· β 1.1K) - A statistical library designed to fill the void in Pythons time series.. MIT
pytorch-forecasting (π₯29 Β· β 1.6K) - Time series forecasting with PyTorch. MIT
Darts (π₯28 Β· β 3.3K) - A python library for easy manipulation and forecasting of time series. Apache-2
-
GitHub (π¨βπ» 41 Β· π 300 Β· π¦ 24 Β· π 310 - 37% open Β· β±οΈ 13.01.2022):
git clone https://github.com/unit8co/darts
-
PyPi (π₯ 2.7K / month Β· π¦ 2 Β· β±οΈ 24.12.2021):
pip install u8darts
-
Docker Hub (π₯ 240 Β· β±οΈ 24.12.2021):
docker pull unit8/darts
STUMPY (π₯28 Β· β 2K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
Auto TS (π₯19 Β· β 370) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
Show 7 hidden projects...
- PyFlux (π₯24 Β· β 1.9K Β· π) - Open source time series library for Python.
BSD-3
- luminol (π₯21 Β· β 990 Β· π) - Anomaly Detection and Correlation library.
Apache-2
- pydlm (π₯20 Β· β 400 Β· π) - A python library for Bayesian time series modeling.
BSD-3
- tick (π₯20 Β· β 370 Β· π) - Module for statistical learning, with a particular emphasis on time-..
BSD-3
- matrixprofile-ts (π₯19 Β· β 670 Β· π) - A Python library for detecting patterns and anomalies..
Apache-2
- ADTK (π₯18 Β· β 770 Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in time..
MPL-2.0
- tsaug (π₯14 Β· β 220 Β· π) - A Python package for time series augmentation.
Apache-2
Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats.
MNE (π₯37 Β· β 1.8K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
Nilearn (π₯35 Β· β 800) - Machine learning for NeuroImaging in Python. BSD-3
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
-
GitHub (π¨βπ» 180 Β· π 440 Β· π₯ 14 Β· π¦ 1.3K Β· π 1.6K - 17% open Β· β±οΈ 10.01.2022):
git clone https://github.com/nilearn/nilearn
-
PyPi (π₯ 16K / month Β· π¦ 230 Β· β±οΈ 16.09.2021):
pip install nilearn
-
Conda (π₯ 130K Β· β±οΈ 16.09.2021):
conda install -c conda-forge nilearn
Lifelines (π₯31 Β· β 1.8K) - Survival analysis in Python. MIT
-
GitHub (π¨βπ» 98 Β· π 450 Β· π¦ 750 Β· π 840 - 25% open Β· β±οΈ 30.11.2021):
git clone https://github.com/CamDavidsonPilon/lifelines
-
PyPi (π₯ 310K / month Β· π¦ 98 Β· β±οΈ 30.11.2021):
pip install lifelines
-
Conda (π₯ 180K Β· β±οΈ 01.12.2021):
conda install -c conda-forge lifelines
DIPY (π₯31 Β· β 480) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3
NiBabel (π₯31 Β· β 460) - Python package to access a cacophony of neuro-imaging file formats. MIT
DeepVariant (π₯27 Β· β 2.4K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
MedicalTorch (π₯16 Β· β 760 Β· π€) - A medical imaging framework for Pytorch. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
Medical Detection Toolkit (π₯14 Β· β 1.1K) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 3 Β· π 280 Β· π 120 - 32% open Β· β±οΈ 09.09.2021):
git clone https://github.com/MIC-DKFZ/medicaldetectiontoolkit
Show 7 hidden projects...
- NiftyNet (π₯23 Β· β 1.3K Β· π) - [unmaintained] An open-source convolutional neural..
Apache-2
- DLTK (π₯21 Β· β 1.3K Β· π) - Deep Learning Toolkit for Medical Image Analysis.
Apache-2
- MedPy (π₯21 Β· β 380 Β· π) - Medical image processing in Python.
βοΈGPL-3.0
- Brainiak (π₯21 Β· β 260 Β· π€) - Brain Imaging Analysis Kit.
Apache-2
- Glow (π₯21 Β· β 180) - An open-source toolkit for large-scale genomic analysis.
Apache-2
- DeepNeuro (π₯13 Β· β 110 Β· π) - A deep learning python package for neuroimaging data. Made by:.
MIT
- MedicalNet (π₯12 Β· β 1.3K Β· π) - Many studies have shown that the performance on deep learning is..
MIT
Libraries for processing tabular and structured data.
pytorch_tabular (π₯21 Β· β 510) - A standard framework for modelling Deep Learning Models.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
carefree-learn (π₯19 Β· β 360) - Deep Learning PyTorch. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
Libraries for optical character recognition (OCR) and text extraction from images or videos.
EasyOCR (π₯33 Β· β 14K Β· π) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2
Tesseract (π₯32 Β· β 4K) - Python-tesseract is an optical character recognition (OCR) tool for.. Apache-2
OCRmyPDF (π₯30 Β· β 5.8K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
keras-ocr (π₯21 Β· β 960) - A packaged and flexible version of the CRAFT text detector and.. MIT
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
attention-ocr (π₯21 Β· β 890) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Mozart (π₯10 Β· β 350 Β· π€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
-
GitHub (π¨βπ» 5 Β· π 49 Β· π 9 - 33% open Β· β±οΈ 05.05.2021):
git clone https://github.com/aashrafh/Mozart
Show 2 hidden projects...
- pdftabextract (π₯19 Β· β 2K Β· π) - A set of tools for extracting tables from PDF files..
Apache-2
- doc2text (π₯19 Β· β 1.3K Β· π) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python..
MIT
General-purpose data containers & structures as well as utilities & extensions for pandas.
pandas (π₯52 Β· β 32K) - Flexible and powerful data analysis / manipulation library for.. BSD-3
![](https://camo.githubusercontent.com/a39359bdb070443676a01e530b6fa2099799b8be1355f2a2d0bf6bc6287e06fe/68747470733a2f2f6769742e696f2f4a4c793153)
-
GitHub (π¨βπ» 2.9K Β· π 14K Β· π₯ 130K Β· π¦ 610K Β· π 22K - 15% open Β· β±οΈ 13.01.2022):
git clone https://github.com/pandas-dev/pandas
-
PyPi (π₯ 68M / month Β· π¦ 57K Β· β±οΈ 06.01.2022):
pip install pandas
-
Conda (π₯ 22M Β· β±οΈ 07.01.2022):
conda install -c conda-forge pandas
numpy (π₯50 Β· β 19K) - The fundamental package for scientific computing with Python. BSD-3
-
GitHub (π¨βπ» 1.4K Β· π 6.3K Β· π₯ 440K Β· π¦ 940K Β· π 10K - 22% open Β· β±οΈ 13.01.2022):
git clone https://github.com/numpy/numpy
-
PyPi (π₯ 83M / month Β· π¦ 120K Β· β±οΈ 31.12.2021):
pip install numpy
-
Conda (π₯ 28M Β· β±οΈ 03.01.2022):
conda install -c conda-forge numpy
Arrow (π₯43 Β· β 8.9K) - Apache Arrow is a multi-language toolbox for accelerated data.. Apache-2
h5py (π₯40 Β· β 1.7K) - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5.. BSD-3
Modin (π₯34 Β· β 6.7K) - Modin: Speed up your Pandas workflows by changing a single line of.. Apache-2
![](https://camo.githubusercontent.com/a39359bdb070443676a01e530b6fa2099799b8be1355f2a2d0bf6bc6287e06fe/68747470733a2f2f6769742e696f2f4a4c793153)
numexpr (π₯33 Β· β 1.7K) - Fast numerical array expression evaluator for Python, NumPy, PyTables,.. MIT
zarr (π₯32 Β· β 840) - An implementation of chunked, compressed, N-dimensional arrays for Python. MIT
TinyDB (π₯31 Β· β 4.8K) - TinyDB is a lightweight document oriented database optimized for your.. MIT
Koalas (π₯31 Β· β 3.1K) - Koalas: pandas API on Apache Spark. Apache-2
![](https://camo.githubusercontent.com/1cfc5e764a3fac2aeb66ce8a0ec446e72d4228314bcf285343c54294c8d42814/68747470733a2f2f6769742e696f2f4a4c79314e)
![](https://camo.githubusercontent.com/a39359bdb070443676a01e530b6fa2099799b8be1355f2a2d0bf6bc6287e06fe/68747470733a2f2f6769742e696f2f4a4c793153)
-
GitHub (π¨βπ» 51 Β· π 320 Β· π₯ 1K Β· π¦ 170 Β· π 580 - 16% open Β· β±οΈ 21.10.2021):
git clone https://github.com/databricks/koalas
-
PyPi (π₯ 2M / month Β· π¦ 7 Β· β±οΈ 19.10.2021):
pip install koalas
-
Conda (π₯ 110K Β· β±οΈ 20.10.2021):
conda install -c conda-forge koalas
Bottleneck (π₯31 Β· β 690 Β· π€) - Fast NumPy array functions written in C. BSD-2
-
GitHub (π¨βπ» 21 Β· π 75 Β· π¦ 30K Β· π 220 - 17% open Β· β±οΈ 24.01.2021):
git clone https://github.com/pydata/bottleneck
-
PyPi (π₯ 410K / month Β· π¦ 1.6K Β· β±οΈ 21.02.2020):
pip install Bottleneck
-
Conda (π₯ 1.8M Β· β±οΈ 04.11.2021):
conda install -c conda-forge bottleneck
Vaex (π₯30 Β· β 6.8K) - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization.. MIT
Arctic (π₯29 Β· β 2.6K) - Arctic is a high performance datastore for numeric data. βοΈLGPL-2.1
-
GitHub (π¨βπ» 72 Β· π 520 Β· π₯ 180 Β· π¦ 150 Β· π 540 - 17% open Β· β±οΈ 10.01.2022):
git clone https://github.com/man-group/arctic
-
PyPi (π₯ 5.4K / month Β· π¦ 34 Β· β±οΈ 10.01.2022):
pip install arctic
-
Conda (π₯ 17K Β· β±οΈ 16.12.2019):
conda install -c conda-forge arctic
datatable (π₯29 Β· β 1.4K) - A Python package for manipulating 2-dimensional tabular data.. MPL-2.0
datasketch (π₯28 Β· β 1.6K) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog,.. MIT
swifter (π₯26 Β· β 1.9K Β· π€) - A package which efficiently applies any function to a pandas.. MIT
![](https://camo.githubusercontent.com/a39359bdb070443676a01e530b6fa2099799b8be1355f2a2d0bf6bc6287e06fe/68747470733a2f2f6769742e696f2f4a4c793153)
PandaralΒ·lel (π₯24 Β· β 1.9K) - A simple and efficient tool to parallelize Pandas.. BSD-3
![](https://camo.githubusercontent.com/a39359bdb070443676a01e530b6fa2099799b8be1355f2a2d0bf6bc6287e06fe/68747470733a2f2f6769742e696f2f4a4c793153)
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
Pandas Summary (π₯21 Β· β 380) - A library for managing, validating, summarizing, and.. Apache-2
![](https://camo.githubusercontent.com/a39359bdb070443676a01e530b6fa2099799b8be1355f2a2d0bf6bc6287e06fe/68747470733a2f2f6769742e696f2f4a4c793153)
Bounter (π₯18 Β· β 930 Β· π€) - Efficient Counter that uses a limited (bounded) amount of memory.. MIT
PandaPy (π₯10 Β· β 490) - PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x.. MIT
![](https://camo.githubusercontent.com/a39359bdb070443676a01e530b6fa2099799b8be1355f2a2d0bf6bc6287e06fe/68747470733a2f2f6769742e696f2f4a4c793153)
Show 7 hidden projects...
- Blaze (π₯31 Β· β 3K Β· π) - NumPy and Pandas interface to Big Data.
BSD-3
- sklearn-pandas (π₯27 Β· β 2.5K Β· π€) - Pandas integration with sklearn.
βοΈZlib
- bcolz (π₯26 Β· β 940 Β· π) - A columnar data container that can be compressed.
BSD-3
- StaticFrame (π₯26 Β· β 260) - Immutable and grow-only Pandas-like DataFrames with a more explicit..
MIT
- pandasql (π₯25 Β· β 1.1K Β· π) - sqldf for pandas.
MIT
- pickleDB (π₯23 Β· β 630 Β· π) - pickleDB is an open source key-value store using Pythons json module.
BSD-3
- fletcher (π₯19 Β· β 220 Β· π€) - Pandas ExtensionDType/Array backed by Apache Arrow.
MIT
Libraries for loading, collecting, and extracting data from a variety of data sources and formats.
π best-of-python - Data Extraction ( β 1.9K) - Collection of data-loading and -extraction libraries.
Libraries for web scraping, crawling, downloading, and mining as well as libraries.
π best-of-web-python - Web Scraping ( β 1.4K) - Collection of web-scraping and crawling libraries.
Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.
Celery (π₯46 Β· β 19K) - Asynchronous task queue/job queue based on distributed message passing. BSD-3
Airflow (π₯44 Β· β 25K Β· π) - Platform to programmatically author, schedule, and monitor.. Apache-2
-
GitHub (π¨βπ» 2.2K Β· π 9.8K Β· π₯ 230K Β· π 4.9K - 18% open Β· β±οΈ 13.01.2022):
git clone https://github.com/apache/airflow
-
PyPi (π₯ 3.5M / month Β· π¦ 440 Β· β±οΈ 21.12.2021):
pip install apache-airflow
-
Conda (π₯ 520K Β· β±οΈ 22.12.2021):
conda install -c conda-forge airflow
-
Docker Hub (π₯ 59M Β· β 310 Β· β±οΈ 21.12.2021):
docker pull apache/airflow
Beam (π₯39 Β· β 5.2K) - Unified programming model to define and execute data processing.. Apache-2
luigi (π₯38 Β· β 15K) - Luigi is a Python module that helps you build complex pipelines of batch.. Apache-2
Dagster (π₯37 Β· β 4.2K) - An orchestration platform for the development, production, and.. Apache-2
dbt (π₯36 Β· β 4K Β· π) - dbt enables data analysts and engineers to transform their data using.. Apache-2
-
GitHub (π¨βπ» 190 Β· π 720 Β· π₯ 120 Β· π¦ 250 Β· π 2.4K - 10% open Β· β±οΈ 12.01.2022):
git clone https://github.com/fishtown-analytics/dbt
-
PyPi (π₯ 570K / month Β· π¦ 29 Β· β±οΈ 06.12.2021):
pip install dbt
-
Conda (π₯ 190K Β· β±οΈ 09.12.2021):
conda install -c conda-forge dbt
Great Expectations (π₯35 Β· β 5.9K Β· π) - Always know what to expect from your data. Apache-2
Kedro (π₯33 Β· β 4.8K) - A Python framework for creating reproducible, maintainable and modular.. Apache-2
Activeloop (π₯31 Β· β 4.2K) - Dataset format for AI. Build, manage, & visualize datasets for.. MPL-2.0
TFX (π₯30 Β· β 1.7K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
streamparse (π₯28 Β· β 1.4K) - Run Python in Apache Storm topologies. Pythonic API, CLI.. Apache-2
Optimus (π₯27 Β· β 1.2K) - Agile Data Preparation Workflows madeeasy with Pandas, Dask,.. Apache-2
![](https://camo.githubusercontent.com/1cfc5e764a3fac2aeb66ce8a0ec446e72d4228314bcf285343c54294c8d42814/68747470733a2f2f6769742e696f2f4a4c79314e)
PyFunctional (π₯26 Β· β 2K) - Python library for creating data pipelines with chain functional.. MIT
ploomber (π₯26 Β· β 870) - Write maintainable, production-ready pipelines using Jupyter or your.. Apache-2
whylogs (π₯23 Β· β 720) - Open standard for end-to-end data and ML monitoring for any scale in.. Apache-2
spark-deep-learning (π₯19 Β· β 1.9K) - Deep Learning Pipelines for Apache Spark. Apache-2
![](https://camo.githubusercontent.com/1cfc5e764a3fac2aeb66ce8a0ec446e72d4228314bcf285343c54294c8d42814/68747470733a2f2f6769742e696f2f4a4c79314e)
-
GitHub (π¨βπ» 16 Β· π 460 Β· π¦ 19 Β· π 100 - 73% open Β· β±οΈ 19.08.2021):
git clone https://github.com/databricks/spark-deep-learning
Databolt Flow (π₯19 Β· β 930) - Python library for building highly effective data science workflows. MIT
Mara Pipelines (π₯16 Β· β 1.8K) - A lightweight opinionated ETL framework, halfway between plain.. MIT
Show 10 hidden projects...
- mrjob (π₯32 Β· β 2.6K Β· π) - Run MapReduce jobs on Hadoop or Amazon Web Services.
Apache-2
- faust (π₯31 Β· β 5.9K Β· π) - Python Stream Processing.
BSD-3
- dbnd (π₯25 Β· β 210) - DBND is an agile pipeline framework that helps data engineering teams..
Apache-2
- dpark (π₯22 Β· β 2.7K Β· π) - Python clone of Spark, a MapReduce alike framework in Python.
BSD-3
- pysparkling (π₯22 Β· β 240 Β· π€) - A pure Python implementation of Apache Sparks RDD and DStream..
MIT
- mrq (π₯21 Β· β 860 Β· π) - Mr. Queue - A distributed worker task queue in Python using Redis & gevent.
MIT
- BatchFlow (π₯20 Β· β 170) - BatchFlow helps you conveniently work with random or sequential..
Apache-2
- bodywork-core (π₯18 Β· β 320) - ML pipeline orchestration and model deployments on..
βοΈAGPL-3.0
- flupy (π₯17 Β· β 170 Β· π) - Fluent data pipelines for python and your shell.
MIT
- Botflow (π₯15 Β· β 1.2K Β· π) - Python Fast Dataflow programming framework for Data pipeline work(..
BSD-3
Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure.
Ray (π₯43 Β· β 19K) - An open source framework that provides a simple, universal API for.. Apache-2
dask.distributed (π₯40 Β· β 1.3K) - A distributed task scheduler for Dask. BSD-3
-
GitHub (π¨βπ» 260 Β· π 580 Β· π¦ 22K Β· π 2.5K - 34% open Β· β±οΈ 13.01.2022):
git clone https://github.com/dask/distributed
-
PyPi (π₯ 4.4M / month Β· π¦ 1.1K Β· β±οΈ 10.12.2021):
pip install distributed
-
Conda (π₯ 6.1M Β· β±οΈ 11.12.2021):
conda install -c conda-forge distributed
horovod (π₯36 Β· β 12K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
ipyparallel (π₯33 Β· β 2.1K) - IPython Parallel: Interactive Parallel Computing in Python. BSD-3
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (π¨βπ» 100 Β· π 850 Β· π¦ 1.8K Β· π 320 - 15% open Β· β±οΈ 10.01.2022):
git clone https://github.com/ipython/ipyparallel
-
PyPi (π₯ 44K / month Β· π¦ 280 Β· β±οΈ 22.12.2021):
pip install ipyparallel
-
Conda (π₯ 550K Β· β±οΈ 23.12.2021):
conda install -c conda-forge ipyparallel
BigDL (π₯31 Β· β 3.8K) - Building Large-Scale AI Applications for Distributed Big Data. Apache-2
-
GitHub (π¨βπ» 130 Β· π 960 Β· π¦ 32 Β· π 1.1K - 30% open Β· β±οΈ 13.01.2022):
git clone https://github.com/intel-analytics/BigDL
-
PyPi (π₯ 5.7K / month Β· π¦ 1 Β· β±οΈ 13.01.2022):
pip install bigdl
-
Maven (π¦ 4 Β· β±οΈ 20.04.2021):
<dependency> <groupId>com.intel.analytics.bigdl</groupId> <artifactId>bigdl-SPARK_2.4</artifactId> <version>[VERSION]</version> </dependency>
DeepSpeed (π₯30 Β· β 6.1K) - DeepSpeed is a deep learning optimization library that makes.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 87 Β· π 660 Β· π¦ 140 Β· π 760 - 49% open Β· β±οΈ 12.01.2022):
git clone https://github.com/microsoft/DeepSpeed
-
PyPi (π₯ 43K / month Β· π¦ 9 Β· β±οΈ 04.01.2022):
pip install deepspeed
-
Docker Hub (π₯ 13K Β· β 3 Β· β±οΈ 05.05.2021):
docker pull deepspeed/deepspeed
FairScale (π₯29 Β· β 1.6K) - PyTorch extensions for high performance and large scale training. BSD-3
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
petastorm (π₯28 Β· β 1.3K) - Petastorm library enables single machine or distributed training.. Apache-2
analytics-zoo (π₯27 Β· β 2.5K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
![](https://camo.githubusercontent.com/1cfc5e764a3fac2aeb66ce8a0ec446e72d4228314bcf285343c54294c8d42814/68747470733a2f2f6769742e696f2f4a4c79314e)
TensorFlowOnSpark (π₯26 Β· β 3.8K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/1cfc5e764a3fac2aeb66ce8a0ec446e72d4228314bcf285343c54294c8d42814/68747470733a2f2f6769742e696f2f4a4c79314e)
Hivemind (π₯21 Β· β 900) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
Apache Singa (π₯20 Β· β 2.4K) - a distributed deep learning platform. Apache-2
-
GitHub (π¨βπ» 76 Β· π 720 Β· π¦ 1 Β· π 89 - 44% open Β· β±οΈ 10.08.2021):
git clone https://github.com/apache/singa
-
Conda (π₯ 410 Β· β±οΈ 09.08.2021):
conda install -c nusdbsystem singa
-
Docker Hub (π₯ 210 Β· β 4 Β· β±οΈ 04.06.2019):
docker pull apache/singa
BytePS (π₯19 Β· β 3K) - A high performance and generic framework for distributed DNN training. Apache-2
-
GitHub (π¨βπ» 19 Β· π 430 Β· π 260 - 39% open Β· β±οΈ 12.01.2022):
git clone https://github.com/bytedance/byteps
-
PyPi (π₯ 63 / month Β· β±οΈ 02.08.2021):
pip install byteps
-
Docker Hub (π₯ 1.2K Β· β±οΈ 03.03.2020):
docker pull bytepsimage/tensorflow
Show 7 hidden projects...
- DEAP (π₯32 Β· β 4.6K) - Distributed Evolutionary Algorithms in Python.
βοΈLGPL-3.0
- TensorFrames (π₯20 Β· β 760 Β· π) - [DEPRECATED] Tensorflow wrapper for DataFrames on..
Apache-2
- launchpad (π₯20 Β· β 250) - Launchpad is a library that simplifies writing distributed..
Apache-2
- somoclu (π₯20 Β· β 230) - Massively parallel self-organizing maps: accelerate training on multicore..
MIT
- sk-dist (π₯19 Β· β 270) - Distributed scikit-learn meta-estimators in PySpark.
Apache-2
- LazyCluster (π₯12 Β· β 43) - Distributed machine learning made simple.
Apache-2
- autodist (π₯11 Β· β 120 Β· π€) - Simple Distributed Deep Learning on TensorFlow.
Apache-2
Libraries for hyperparameter optimization, automl and neural architecture search.
NNI (π₯35 Β· β 11K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
featuretools (π₯35 Β· β 5.9K) - An open source python library for automated feature engineering. BSD-3
-
GitHub (π¨βπ» 57 Β· π 780 Β· π¦ 910 Β· π 710 - 22% open Β· β±οΈ 11.01.2022):
git clone https://github.com/alteryx/featuretools
-
PyPi (π₯ 1.1M / month Β· π¦ 62 Β· β±οΈ 11.01.2022):
pip install featuretools
-
Conda (π₯ 76K Β· β±οΈ 11.01.2022):
conda install -c conda-forge featuretools
auto-sklearn (π₯33 Β· β 6K Β· π) - Automated Machine Learning with scikit-learn. BSD-3
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
Keras Tuner (π₯33 Β· β 2.5K) - Hyperparameter tuning for humans. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
scikit-optimize (π₯32 Β· β 2.3K) - Sequential model-based optimization with a `scipy.optimize`.. BSD-3
-
GitHub (π¨βπ» 75 Β· π 420 Β· π¦ 2.3K Β· π 620 - 37% open Β· β±οΈ 12.10.2021):
git clone https://github.com/scikit-optimize/scikit-optimize
-
PyPi (π₯ 380K / month Β· π¦ 170 Β· β±οΈ 12.10.2021):
pip install scikit-optimize
-
Conda (π₯ 520K Β· β±οΈ 15.12.2021):
conda install -c conda-forge scikit-optimize
nevergrad (π₯30 Β· β 3.2K) - A Python toolbox for performing gradient-free optimization. MIT
-
GitHub (π¨βπ» 46 Β· π 300 Β· π¦ 270 Β· π 250 - 38% open Β· β±οΈ 13.01.2022):
git clone https://github.com/facebookresearch/nevergrad
-
PyPi (π₯ 16K / month Β· π¦ 17 Β· β±οΈ 10.11.2021):
pip install nevergrad
-
Conda (π₯ 20K Β· β±οΈ 14.06.2021):
conda install -c conda-forge nevergrad
mljar-supervised (π₯27 Β· β 1.7K) - Python package for AutoML on Tabular Data with Feature.. MIT
Hyperactive (π₯23 Β· β 340) - An optimization and data collection toolbox for convenient and fast.. MIT
Talos (π₯22 Β· β 1.5K Β· π€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Neuraxle (π₯22 Β· β 490) - A Sklearn-like Framework for Hyperparameter Tuning and AutoML in.. Apache-2
Auto ViML (π₯20 Β· β 320) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
sklearn-deap (π₯19 Β· β 670) - Use evolutionary algorithms instead of gridsearch in scikit-.. MIT
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
AlphaPy (π₯18 Β· β 690) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2
HyperparameterHunter (π₯16 Β· β 680 Β· π€) - Easy hyperparameter optimization and automatic result.. MIT
model_search (π₯11 Β· β 3.2K Β· π€) - AutoML algorithms for model architecture search at scale. Apache-2
-
GitHub (π¨βπ» 1 Β· π 310 Β· π 50 - 70% open Β· β±οΈ 17.03.2021):
git clone https://github.com/google/model_search
Show 23 hidden projects...
- Bayesian Optimization (π₯32 Β· β 5.7K Β· π) - A Python implementation of global optimization with..
MIT
- TPOT (π₯31 Β· β 8.4K Β· π€) - A Python Automated Machine Learning tool that optimizes..
βοΈLGPL-3.0
- GPyOpt (π₯26 Β· β 790 Β· π) - Gaussian Process Optimization using GPy.
BSD-3
- Orion (π₯26 Β· β 220) - Asynchronous Distributed Hyperparameter Optimization.
BSD-3
- auto_ml (π₯23 Β· β 1.6K Β· π) - [UNMAINTAINED] Automated machine learning for analytics & production.
MIT
- MLBox (π₯22 Β· β 1.3K Β· π) - MLBox is a powerful Automated Machine Learning python library.
βοΈBSD-1-Clause
- HpBandSter (π₯22 Β· β 510 Β· π) - a distributed Hyperband implementation on Steroids.
BSD-3
- optunity (π₯22 Β· β 380 Β· π) - optimization routines for hyperparameter tuning.
BSD-3
- lazypredict (π₯22 Β· β 280) - Lazy Predict help build a lot of basic models without much code..
MIT
- Test Tube (π₯20 Β· β 710 Β· π) - Python library to easily log experiments and parallelize..
MIT
- Dragonfly (π₯19 Β· β 620 Β· π) - An open source python library for scalable Bayesian optimisation.
MIT
- Sherpa (π₯18 Β· β 310 Β· π) - Hyperparameter optimization that enables researchers to..
βοΈGPL-3.0
- Advisor (π₯17 Β· β 1.4K Β· π) - Open-source implementation of Google Vizier for hyper parameters..
Apache-2
- Auto Tune Models (π₯17 Β· β 510 Β· π) - Auto Tune Models - A multi-tenant, multi-data system for..
MIT
- featurewiz (π₯17 Β· β 120) - Use advanced feature engineering strategies and select best..
Apache-2
- automl-gs (π₯16 Β· β 1.8K Β· π) - Provide an input CSV and a target field to predict, generate a..
MIT
- Xcessiv (π₯16 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated..
Apache-2
- Parfit (π₯15 Β· β 200 Β· π) - A package for parallelizing the fit and flexibly scoring of..
MIT
- ENAS (π₯13 Β· β 2.5K Β· π) - PyTorch implementation of Efficient Neural Architecture Search via..
Apache-2
- Auptimizer (π₯13 Β· β 180 Β· π€) - An automatic ML model optimization tool.
βοΈGPL-3.0
- Hypermax (π₯12 Β· β 99 Β· π) - Better, faster hyper-parameter optimization.
BSD-3
- Devol (π₯11 Β· β 940 Β· π) - Genetic neural architecture search with Keras.
MIT
- Hypertunity (π₯9 Β· β 120 Β· π) - A toolset for black-box hyperparameter optimisation.
Apache-2
Libraries for building and evaluating reinforcement learning & agent-based systems.
OpenAI Gym (π₯42 Β· β 26K) - A toolkit for developing and comparing reinforcement learning.. MIT
TF-Agents (π₯33 Β· β 2.2K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
TensorForce (π₯29 Β· β 3.1K) - Tensorforce: a TensorFlow library for applied.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
ViZDoom (π₯28 Β· β 1.3K) - Doom-based AI Research Platform for Reinforcement Learning from Raw.. MIT
TensorLayer (π₯27 Β· β 6.8K) - Deep Learning and Reinforcement Learning Library for.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
PARL (π₯27 Β· β 2.4K) - A high-performance distributed training framework for Reinforcement.. Apache-2
![](https://camo.githubusercontent.com/df4aa06e008c7d72f77e38763829d6e570a6d60c0b2797a91b3bbf9dced3e4f3/68747470733a2f2f6769742e696f2f4a4c79314d)
Stable Baselines (π₯25 Β· β 3.4K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT
ChainerRL (π₯23 Β· β 1K Β· π€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT
Coach (π₯22 Β· β 2.1K Β· π€) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2
ReAgent (π₯20 Β· β 3.1K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 120 Β· π 430 Β· π 120 - 35% open Β· β±οΈ 29.12.2021):
git clone https://github.com/facebookresearch/ReAgent
Show 4 hidden projects...
- baselines (π₯30 Β· β 12K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement..
MIT
- keras-rl (π₯29 Β· β 5.2K Β· π) - Deep Reinforcement Learning for Keras.
MIT
- DeepMind Lab (π₯19 Β· β 6.6K) - A customisable 3D platform for agent-based AI research.
βοΈGPL-2.0
- Maze (π₯16 Β· β 200) - Maze Applied Reinforcement Learning Framework.
βοΈCustom
Libraries for building and evaluating recommendation systems.
implicit (π₯31 Β· β 2.6K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
TF Recommenders (π₯29 Β· β 1.2K) - TensorFlow Recommenders is a library for building.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Recommenders (π₯28 Β· β 12K) - Best Practices on Recommendation Systems. MIT
-
GitHub (π¨βπ» 100 Β· π 2.1K Β· π₯ 93 Β· π¦ 9 Β· π 650 - 20% open Β· β±οΈ 13.01.2022):
git clone https://github.com/microsoft/recommenders
lightfm (π₯28 Β· β 3.9K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2
TF Ranking (π₯28 Β· β 2.4K) - Learning to Rank in TensorFlow. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Case Recommender (π₯18 Β· β 380) - Case Recommender: A Flexible and Extensible Python.. MIT
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
recmetrics (π₯18 Β· β 340) - A library of metrics for evaluating recommender systems. MIT
Show 5 hidden projects...
- scikit-surprise (π₯28 Β· β 5.2K Β· π) - A Python scikit for building and analyzing recommender..
BSD-3
- tensorrec (π₯22 Β· β 1.2K Β· π) - A TensorFlow recommendation algorithm and framework in..
Apache-2
- lkpy (π₯21 Β· β 190) - Python recommendation toolkit.
MIT
- Spotlight (π₯18 Β· β 2.6K Β· π) - Deep recommender models using PyTorch.
MIT
- OpenRec (π₯16 Β· β 390 Β· π) - OpenRec is an open-source and modular library for neural network-..
Apache-2
Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy.
FATE (π₯28 Β· β 3.9K) - An Industrial Grade Federated Learning Framework. Apache-2
-
GitHub (π¨βπ» 69 Β· π 1.1K Β· π 1.1K - 32% open Β· β±οΈ 13.01.2022):
git clone https://github.com/FederatedAI/FATE
TensorFlow Privacy (π₯26 Β· β 1.5K) - Library for training machine learning models with.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Show 1 hidden projects...
- TFEncrypted (π₯24 Β· β 970 Β· π) - A Framework for Encrypted Machine Learning in TensorFlow.
Apache-2
Libraries to organize, track, and visualize machine learning experiments.
Tensorboard (π₯42 Β· β 5.7K) - TensorFlows Visualization Toolkit. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
-
GitHub (π¨βπ» 280 Β· π 1.5K Β· π¦ 91K Β· π 1.6K - 34% open Β· β±οΈ 13.01.2022):
git clone https://github.com/tensorflow/tensorboard
-
PyPi (π₯ 11M / month Β· π¦ 2.3K Β· β±οΈ 13.10.2021):
pip install tensorboard
-
Conda (π₯ 2.7M Β· β±οΈ 10.11.2021):
conda install -c conda-forge tensorboard
DVC (π₯36 Β· β 9.1K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2
PyCaret (π₯36 Β· β 4.8K Β· π) - An open-source, low-code machine learning library in Python. MIT
SageMaker SDK (π₯36 Β· β 1.5K) - A library for training and deploying machine learning.. Apache-2
![](https://camo.githubusercontent.com/e33851ee28ff48309d1f11fe8fbf83b31729a7f211f2eddf3093a85d716e6b1e/68747470733a2f2f6769742e696f2f4a4c793158)
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
tensorboardX (π₯34 Β· β 7.2K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
-
GitHub (π¨βπ» 70 Β· π 840 Β· π₯ 340 Β· π¦ 16K Β· π 440 - 16% open Β· β±οΈ 26.12.2021):
git clone https://github.com/lanpa/tensorboardX
-
PyPi (π₯ 540K / month Β· π¦ 860 Β· β±οΈ 21.11.2021):
pip install tensorboardX
-
Conda (π₯ 630K Β· β±οΈ 10.08.2021):
conda install -c conda-forge tensorboardx
wandb client (π₯34 Β· β 3.6K) - A tool for visualizing and tracking your machine learning.. MIT
AzureML SDK (π₯34 Β· β 2.8K) - Python notebooks with ML and deep learning examples with Azure.. MIT
snakemake (π₯33 Β· β 1.2K) - This is the development home of the workflow management system.. MIT
Metaflow (π₯32 Β· β 5.2K) - Build and manage real-life data science projects with ease!. Apache-2
ClearML (π₯32 Β· β 2.9K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2
-
GitHub (π¨βπ» 44 Β· π 400 Β· π₯ 380 Β· π¦ 170 Β· π 440 - 33% open Β· β±οΈ 13.01.2022):
git clone https://github.com/allegroai/clearml
-
PyPi (π₯ 59K / month Β· π¦ 4 Β· β±οΈ 08.01.2022):
pip install clearml
-
Docker Hub (π₯ 30K Β· β±οΈ 05.10.2020):
docker pull allegroai/trains
aim (π₯31 Β· β 1.9K) - Aim an easy-to-use and performant open-source experiment tracker. Apache-2
sacred (π₯29 Β· β 3.7K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
ml-metadata (π₯28 Β· β 420) - For recording and retrieving metadata associated with ML.. Apache-2
livelossplot (π₯25 Β· β 1.2K) - Live training loss plot in Jupyter Notebook for Keras,.. MIT
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
Labml (π₯25 Β· β 940) - Monitor deep learning model training and hardware usage from your mobile.. MIT
TNT (π₯23 Β· β 1.4K Β· π€) - Simple tools for logging and visualizing, loading and training. BSD-3
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
TensorWatch (π₯21 Β· β 3.2K Β· π€) - Debugging, monitoring and visualization for Python Machine.. MIT
Show 11 hidden projects...
- SKLL (π₯25 Β· β 530) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine..
βοΈBSD-1-Clause
- knockknock (π₯22 Β· β 2.3K Β· π) - Knock Knock: Get notified when your training ends with only two..
MIT
- hiddenlayer (π₯21 Β· β 1.6K Β· π) - Neural network graphs and training metrics for..
MIT
- lore (π₯21 Β· β 1.5K Β· π) - Lore makes machine learning approachable for Software Engineers and..
MIT
- TensorBoard Logger (π₯21 Β· β 620 Β· π) - Log TensorBoard events without touching TensorFlow.
MIT
- gokart (π₯21 Β· β 230) - Gokart solves reproducibility, task dependencies, constraints of good code,..
MIT
- MXBoard (π₯20 Β· β 330 Β· π) - Logging MXNet data for visualization in TensorBoard.
Apache-2
- datmo (π₯19 Β· β 340 Β· π) - Open source production model management tool for data scientists.
MIT
- steppy (π₯16 Β· β 130 Β· π) - Lightweight, Python library for fast and reproducible experimentation.
MIT
- ModelChimp (π₯13 Β· β 120) - Experiment tracking for machine and deep learning projects.
BSD-2
- traintool (π₯8 Β· β 9 Β· π€) - Train off-the-shelf machine learning models in one..
Apache-2
Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment.
Core ML Tools (π₯31 Β· β 2.5K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
TorchServe (π₯30 Β· β 2.4K) - Model Serving on PyTorch. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 95 Β· π 430 Β· π₯ 790 Β· π 770 - 16% open Β· β±οΈ 07.01.2022):
git clone https://github.com/pytorch/serve
-
PyPi (π₯ 9.2K / month Β· π¦ 8 Β· β±οΈ 29.12.2021):
pip install torchserve
-
Conda (π₯ 18K Β· β±οΈ 29.12.2021):
conda install -c pytorch torchserve
-
Docker Hub (π₯ 960K Β· β 11 Β· β±οΈ 29.12.2021):
docker pull pytorch/torchserve
huggingface_hub (π₯29 Β· β 310) - All the open source things related to the Hugging Face Hub. Apache-2
-
GitHub (π¨βπ» 50 Β· π 64 Β· π 200 - 52% open Β· β±οΈ 13.01.2022):
git clone https://github.com/huggingface/huggingface_hub
-
PyPi (π₯ 1.9M / month Β· π¦ 51 Β· β±οΈ 11.01.2022):
pip install huggingface_hub
-
Conda (π₯ 24K Β· β±οΈ 12.01.2022):
conda install -c conda-forge huggingface_hub
Hummingbird (π₯26 Β· β 2.7K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
m2cgen (π₯24 Β· β 2K) - Transform ML models into a native code (Java, C, Python, Go, JavaScript,.. MIT
pytorch2keras (π₯18 Β· β 770) - PyTorch to Keras model convertor. MIT
tfdeploy (π₯16 Β· β 340 Β· π€) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Show 4 hidden projects...
- mmdnn (π₯25 Β· β 5.5K Β· π) - MMdnn is a set of tools to help users inter-operate among different deep..
MIT
- Larq Compute Engine (π₯20 Β· β 180) - Highly optimized inference engine for Binarized..
Apache-2
- sklearn-porter (π₯19 Β· β 1.1K Β· π) - Transpile trained scikit-learn estimators to C, Java,..
MIT
- backprop (π₯13 Β· β 220 Β· π€) - Backprop makes it simple to use, finetune, and deploy state-of-..
Apache-2
Libraries to visualize, explain, debug, evaluate, and interpret machine learning models.
shap (π₯39 Β· β 15K) - A game theoretic approach to explain the output of any machine learning model. MIT
arviz (π₯34 Β· β 1.1K) - Exploratory analysis of Bayesian models with Python. Apache-2
-
GitHub (π¨βπ» 110 Β· π 260 Β· π₯ 110 Β· π¦ 1.8K Β· π 750 - 25% open Β· β±οΈ 07.01.2022):
git clone https://github.com/arviz-devs/arviz
-
PyPi (π₯ 240K / month Β· π¦ 71 Β· β±οΈ 03.10.2021):
pip install arviz
-
Conda (π₯ 600K Β· β±οΈ 03.10.2021):
conda install -c conda-forge arviz
Lime (π₯32 Β· β 9.5K) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
InterpretML (π₯31 Β· β 4.4K) - Fit interpretable models. Explain blackbox machine learning. MIT
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
pyLDAvis (π₯30 Β· β 1.6K Β· π€) - Python library for interactive topic model visualization... BSD-3
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
Model Analysis (π₯30 Β· β 1.1K) - Model analysis tools for TensorFlow. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
DoWhy (π₯27 Β· β 3.5K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
dtreeviz (π₯27 Β· β 1.9K) - A python library for decision tree visualization and model interpretation. MIT
yellowbrick (π₯26 Β· β 3.5K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
Lucid (π₯25 Β· β 4.4K Β· π€) - A collection of infrastructure and tools for research in.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
checklist (π₯25 Β· β 1.6K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
responsible-ai-widgets (π₯25 Β· β 380) - This project provides responsible AI user interfaces.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/ef78989a530ef0d09c8b30324b24223155713afe9d28f408d369f6ad2ad87146/68747470733a2f2f6769742e696f2f4a4c793145)
LIT (π₯24 Β· β 2.7K) - The Language Interpretability Tool: Interactively analyze NLP models for.. Apache-2
Fairness 360 (π₯24 Β· β 1.6K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
Explainability 360 (π₯23 Β· β 1K) - Interpretability and explainability of data and machine.. Apache-2
explainerdashboard (π₯23 Β· β 960) - Quickly build Explainable AI dashboards that show the inner.. MIT
tf-explain (π₯23 Β· β 890) - Interpretability Methods for tf.keras models with Tensorflow 2.x. MIT
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
TreeInterpreter (π₯22 Β· β 690 Β· π€) - Package for interpreting scikit-learns decision tree.. BSD-3
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
What-If Tool (π₯22 Β· β 620) - Source code/webpage/demos for the What-If Tool. Apache-2
random-forest-importances (π₯22 Β· β 490 Β· π€) - Code to compute permutation and drop-column.. MIT
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
ecco (π₯21 Β· β 1.3K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
imodels (π₯21 Β· β 430) - Interpretable ML package for concise, transparent, and accurate predictive.. MIT
iNNvestigate (π₯20 Β· β 940) - A toolbox to iNNvestigate neural networks predictions!. BSD-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
sklearn-evaluation (π₯20 Β· β 320) - Machine learning model evaluation made easy: plots,.. MIT
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
FlashTorch (π₯15 Β· β 640 Β· π€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
Show 12 hidden projects...
- eli5 (π₯27 Β· β 2.5K Β· π) - A library for debugging/inspecting machine learning classifiers and..
MIT
- scikit-plot (π₯26 Β· β 2.2K Β· π) - An intuitive library to add plotting functionality to..
MIT
- keras-vis (π₯25 Β· β 2.9K Β· π) - Neural network visualization toolkit for keras.
MIT
- DALEX (π₯22 Β· β 980) - moDel Agnostic Language for Exploration and eXplanation.
βοΈGPL-3.0
- Skater (π₯21 Β· β 1K Β· π) - Python Library for Model Interpretation/Explanations.
βοΈUPL-1.0
- model-card-toolkit (π₯18 Β· β 250) - a tool that leverages rich metadata and lineage..
Apache-2
- fairness-indicators (π₯18 Β· β 240) - Tensorflows Fairness Evaluation and Visualization..
Apache-2
- interpret-text (π₯15 Β· β 290) - A library that incorporates state-of-the-art explainers for..
MIT
- ExplainX.ai (π₯15 Β· β 270 Β· π€) - Explainable AI framework for data scientists. Explain & debug any..
MIT
- Attribution Priors (π₯12 Β· β 91 Β· π€) - Tools for training explainable models using..
MIT
- contextual-ai (π₯12 Β· β 77) - Contextual AI adds explainability to different stages of..
Apache-2
- bias-detector (π₯12 Β· β 37) - Bias Detector is a python package for detecting bias in machine..
MIT
Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search.
π ANN Benchmarks ( β 2.7K) - Benchmarks of approximate nearest neighbor libraries in Python.
Milvus (π₯38 Β· β 9.2K) - An open-source vector database for embedding similarity search and AI.. Apache-2
-
GitHub (π¨βπ» 180 Β· π 1.4K Β· π₯ 6.3K Β· π 4.3K - 5% open Β· β±οΈ 13.01.2022):
git clone https://github.com/milvus-io/milvus
-
PyPi (π₯ 24K / month Β· π¦ 15 Β· β±οΈ 31.12.2021):
pip install pymilvus
-
Docker Hub (π₯ 720K Β· β 17 Β· β±οΈ 31.12.2021):
docker pull milvusdb/milvus
Faiss (π₯34 Β· β 16K Β· π) - A library for efficient similarity search and clustering of dense vectors. MIT
Annoy (π₯33 Β· β 9.3K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2
NMSLIB (π₯30 Β· β 2.7K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
hnswlib (π₯30 Β· β 1.8K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2
PyNNDescent (π₯28 Β· β 570) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
-
GitHub (π¨βπ» 18 Β· π 72 Β· π¦ 1.1K Β· π 94 - 46% open Β· β±οΈ 05.01.2022):
git clone https://github.com/lmcinnes/pynndescent
-
PyPi (π₯ 1.4M / month Β· π¦ 22 Β· β±οΈ 15.10.2021):
pip install pynndescent
-
Conda (π₯ 430K Β· β±οΈ 15.10.2021):
conda install -c conda-forge pynndescent
NGT (π₯19 Β· β 840) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2
N2 (π₯18 Β· β 500 Β· π€) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2
Show 3 hidden projects...
- Magnitude (π₯23 Β· β 1.5K Β· π) - A fast, efficient universal vector embedding utility package.
MIT
- NearPy (π₯21 Β· β 700 Β· π) - Python framework for fast (approximated) nearest neighbour search in..
MIT
- PySparNN (π₯11 Β· β 890 Β· π) - Approximate Nearest Neighbor Search for Sparse Data in Python!.
BSD-3
Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics.
PyMC3 (π₯39 Β· β 6.3K) - Probabilistic Programming in Python: Bayesian Modeling and.. Apache-2
-
GitHub (π¨βπ» 350 Β· π 1.5K Β· π₯ 1.5K Β· π¦ 580 Β· π 2.5K - 7% open Β· β±οΈ 13.01.2022):
git clone https://github.com/pymc-devs/pymc3
-
PyPi (π₯ 240K / month Β· π¦ 230 Β· β±οΈ 24.08.2021):
pip install pymc3
-
Conda (π₯ 370K Β· β±οΈ 12.10.2021):
conda install -c conda-forge pymc3
tensorflow-probability (π₯37 Β· β 3.6K) - Probabilistic reasoning and statistical analysis in.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
-
GitHub (π¨βπ» 430 Β· π 950 Β· π 1.2K - 45% open Β· β±οΈ 12.01.2022):
git clone https://github.com/tensorflow/probability
-
PyPi (π₯ 760K / month Β· π¦ 300 Β· β±οΈ 17.11.2021):
pip install tensorflow-probability
-
Conda (π₯ 48K Β· β±οΈ 22.10.2021):
conda install -c conda-forge tensorflow-probability
Pyro (π₯32 Β· β 7.3K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
GPyTorch (π₯32 Β· β 2.6K) - A highly efficient and modular implementation of Gaussian Processes.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
filterpy (π₯31 Β· β 2.1K Β· π€) - Python Kalman filtering and optimal estimation library. Implements.. MIT
pomegranate (π₯30 Β· β 2.8K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
-
GitHub (π¨βπ» 65 Β· π 510 Β· π¦ 610 Β· π 670 - 8% open Β· β±οΈ 20.11.2021):
git clone https://github.com/jmschrei/pomegranate
-
PyPi (π₯ 33K / month Β· π¦ 44 Β· β±οΈ 19.11.2021):
pip install pomegranate
-
Conda (π₯ 78K Β· β±οΈ 16.11.2021):
conda install -c conda-forge pomegranate
SALib (π₯29 Β· β 560) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT
pandas-ta (π₯27 Β· β 2K) - Technical Analysis Indicators - Pandas TA is an easy to use Python.. MIT
![](https://camo.githubusercontent.com/a39359bdb070443676a01e530b6fa2099799b8be1355f2a2d0bf6bc6287e06fe/68747470733a2f2f6769742e696f2f4a4c793153)
Orbit (π₯23 Β· β 860) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2
Baal (π₯20 Β· β 520) - Library to enable Bayesian active learning in your research or labeling.. Apache-2
Show 8 hidden projects...
- Edward (π₯28 Β· β 4.7K Β· π) - A probabilistic programming language in TensorFlow. Deep..
Apache-2
- pingouin (π₯28 Β· β 880) - Statistical package in Python based on Pandas.
βοΈGPL-3.0
- PyStan (π₯25 Β· β 150) - PyStan, a Python interface to Stan, a platform for statistical modeling...
ISC
- scikit-posthocs (π₯21 Β· β 220) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python.
MIT
- pyhsmm (π₯20 Β· β 500 Β· π) - Bayesian inference in HSMMs and HMMs.
MIT
- Funsor (π₯20 Β· β 190) - Functional tensors for probabilistic programming.
Apache-2
- ZhuSuan (π₯15 Β· β 2.1K Β· π) - A probabilistic programming library for Bayesian deep learning,..
MIT
- Lea (π₯12) - Discrete probability distributions in Python.
βοΈGPL-3.0
Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples.
ART (π₯32 Β· β 2.7K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
TextAttack (π₯30 Β· β 1.8K) - TextAttack is a Python framework for adversarial attacks, data.. MIT
CleverHans (π₯29 Β· β 5.4K) - An adversarial example library for constructing attacks,.. MIT
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Foolbox (π₯28 Β· β 2.1K Β· π€) - A Python toolbox to create adversarial examples that fool neural.. MIT
AdvBox (π₯19 Β· β 1.2K Β· π€) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2
robustness (π₯17 Β· β 650) - A library for experimenting with, training and evaluating neural.. MIT
Show 3 hidden projects...
- advertorch (π₯21 Β· β 990) - A Toolbox for Adversarial Robustness Research.
βοΈGPL-3.0
- textflint (π₯16 Β· β 540) - Unified Multilingual Robustness Evaluation Toolkit for Natural..
βοΈGPL-3.0
- Adversary (π₯15 Β· β 360 Β· π) - Tool to generate adversarial text examples and test machine..
MIT
Libraries that require and make use of CUDA/GPU system capabilities to optimize data handling and machine learning tasks.
CuPy (π₯39 Β· β 5.7K) - NumPy & SciPy for GPU. MIT
-
GitHub (π¨βπ» 290 Β· π 530 Β· π₯ 24K Β· π¦ 910 Β· π 1.6K - 22% open Β· β±οΈ 13.01.2022):
git clone https://github.com/cupy/cupy
-
PyPi (π₯ 82K / month Β· π¦ 140 Β· β±οΈ 09.12.2021):
pip install cupy
-
Conda (π₯ 1.1M Β· β±οΈ 16.12.2021):
conda install -c conda-forge cupy
-
Docker Hub (π₯ 54K Β· β 7 Β· β±οΈ 09.12.2021):
docker pull cupy/cupy
gpustat (π₯28 Β· β 2.7K) - A simple command-line utility for querying and monitoring GPU status. MIT
Apex (π₯26 Β· β 6K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
DALI (π₯24 Β· β 3.7K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
-
GitHub (π¨βπ» 68 Β· π 460 Β· π 1.1K - 13% open Β· β±οΈ 13.01.2022):
git clone https://github.com/NVIDIA/DALI
scikit-cuda (π₯24 Β· β 870) - Python interface to GPU-powered libraries. BSD-3
BlazingSQL (π₯23 Β· β 1.7K) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2
Vulkan Kompute (π₯19 Β· β 710) - General purpose GPU compute framework for cross vendor.. Apache-2
cuSignal (π₯19 Β· β 560) - GPU accelerated signal processing. Apache-2
-
GitHub (π¨βπ» 36 Β· π 80 Β· π 120 - 12% open Β· β±οΈ 08.12.2021):
git clone https://github.com/rapidsai/cusignal
Show 5 hidden projects...
- GPUtil (π₯22 Β· β 810 Β· π) - A Python module for getting the GPU status from NVIDA GPUs using..
MIT
- py3nvml (π₯22 Β· β 200) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your..
BSD-3
- nvidia-ml-py3 (π₯20 Β· β 72 Β· π) - Python 3 Bindings for the NVIDIA Management Library.
BSD-3
- SpeedTorch (π₯15 Β· β 650 Β· π) - Library for faster pinned CPU - GPU transfer in Pytorch.
MIT
- ipyexperiments (π₯15 Β· β 140) - jupyter/ipython experiment containers for GPU and..
Apache-2
Libraries that extend TensorFlow with additional capabilities.
TF Addons (π₯37 Β· β 1.4K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
tensor2tensor (π₯35 Β· β 12K) - Library of deep learning models and datasets designed to.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
TensorFlow Datasets (π₯35 Β· β 3.1K) - TFDS is a collection of datasets ready to use with.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
tensorflow-hub (π₯34 Β· β 3K Β· π) - A library for transfer learning by reusing parts of.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
-
GitHub (π¨βπ» 83 Β· π 1.6K Β· π¦ 9.9K Β· π 640 - 2% open Β· β±οΈ 13.01.2022):
git clone https://github.com/tensorflow/hub
-
PyPi (π₯ 2.7M / month Β· π¦ 280 Β· β±οΈ 14.04.2021):
pip install tensorflow-hub
-
Conda (π₯ 60K Β· β±οΈ 18.04.2021):
conda install -c conda-forge tensorflow-hub
TensorFlow Transform (π₯32 Β· β 900) - Input pipeline framework. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
TF Model Optimization (π₯31 Β· β 1.2K) - A toolkit to optimize ML models for deployment for.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Keras-Preprocessing (π₯30 Β· β 1K Β· π€) - Utilities for working with image data, text data, and.. MIT
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
-
GitHub (π¨βπ» 50 Β· π 430 Β· π 190 - 48% open Β· β±οΈ 04.02.2021):
git clone https://github.com/keras-team/keras-preprocessing
-
PyPi (π₯ 8M / month Β· π¦ 1.5K Β· β±οΈ 14.05.2020):
pip install keras-preprocessing
-
Conda (π₯ 1.2M Β· β±οΈ 15.01.2021):
conda install -c conda-forge keras-preprocessing
TensorFlow I/O (π₯29 Β· β 520) - Dataset, streaming, and file system extensions.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
efficientnet (π₯26 Β· β 1.9K) - Implementation of EfficientNet model. Keras and.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Neural Structured Learning (π₯26 Β· β 890) - Training neural models with structured signals. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
TensorFlow Cloud (π₯24 Β· β 320) - The TensorFlow Cloud repository provides APIs that.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
TensorNets (π₯20 Β· β 1K Β· π€) - High level network definitions with pre-trained weights in.. MIT
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Saliency (π₯19 Β· β 760) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
TF Compression (π₯17 Β· β 570) - Data compression in TensorFlow. Apache-2
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
Show 1 hidden projects...
Libraries that extend scikit-learn with additional capabilities.
imbalanced-learn (π₯36 Β· β 5.7K) - A Python Package to Tackle the Curse of Imbalanced.. MIT
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
-
GitHub (π¨βπ» 61 Β· π 1.2K Β· π¦ 8.8K Β· π 500 - 12% open Β· β±οΈ 11.01.2022):
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
-
PyPi (π₯ 2.6M / month Β· π¦ 240 Β· β±οΈ 11.01.2022):
pip install imbalanced-learn
-
Conda (π₯ 180K Β· β±οΈ 11.01.2022):
conda install -c conda-forge imbalanced-learn
category_encoders (π₯33 Β· β 1.8K Β· π) - A library of sklearn compatible categorical variable.. BSD-3
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
-
GitHub (π¨βπ» 48 Β· π 340 Β· π¦ 2.9K Β· π 240 - 32% open Β· β±οΈ 16.11.2021):
git clone https://github.com/scikit-learn-contrib/category_encoders
-
PyPi (π₯ 860K / month Β· π¦ 23 Β· β±οΈ 14.10.2018):
pip install category_encoders
-
Conda (π₯ 140K Β· β±οΈ 13.10.2021):
conda install -c conda-forge category_encoders
fancyimpute (π₯25 Β· β 1K) - Multivariate imputation and matrix completion algorithms.. Apache-2
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
scikit-lego (π₯25 Β· β 680) - Extra blocks for scikit-learn pipelines. MIT
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
sklearn-contrib-lightning (π₯24 Β· β 1.5K) - Large-scale linear classification, regression and.. BSD-3
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
-
GitHub (π¨βπ» 17 Β· π 190 Β· π₯ 100 Β· π¦ 97 Β· π 91 - 54% open Β· β±οΈ 09.01.2022):
git clone https://github.com/scikit-learn-contrib/lightning
-
PyPi (π₯ 1.7K / month Β· π¦ 6 Β· β±οΈ 15.06.2021):
pip install sklearn-contrib-lightning
-
Conda (π₯ 160K Β· β±οΈ 13.11.2021):
conda install -c conda-forge sklearn-contrib-lightning
scikit-opt (π₯23 Β· β 2.8K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
iterative-stratification (π₯21 Β· β 620) - scikit-learn cross validators for iterative.. BSD-3
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
combo (π₯21 Β· β 560) - (AAAI 20) A Python Toolbox for Machine Learning Model Combination. BSD-2
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
xgboost
scikit-tda (π₯18 Β· β 320) - Topological Data Analysis for Python. MIT
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
Show 6 hidden projects...
- sklearn-crfsuite (π₯25 Β· β 390 Β· π) - scikit-learn inspired API for CRFsuite.
MIT
- scikit-multilearn (π₯23 Β· β 710 Β· π) - A scikit-learn based module for multi-label et. al...
BSD-2
- skope-rules (π₯20 Β· β 430 Β· π) - machine learning with logical rules in Python.
βοΈBSD-1-Clause
- celer (π₯19 Β· β 130) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,..
BSD-3
- skggm (π₯17 Β· β 190 Β· π) - Scikit-learn compatible estimation of general graphical models.
MIT
- dabl (π₯15 Β· β 110) - Data Analysis Baseline Library.
BSD-3
Libraries that extend Pytorch with additional capabilities.
PML (π₯32 Β· β 4K) - The easiest way to use deep metric learning in your application. Modular,.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 23 Β· π 500 Β· π¦ 180 Β· π 320 - 12% open Β· β±οΈ 12.01.2022):
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
-
PyPi (π₯ 97K / month Β· π¦ 8 Β· β±οΈ 28.12.2021):
pip install pytorch-metric-learning
-
Conda (π₯ 5.4K Β· β±οΈ 28.12.2021):
conda install -c metric-learning pytorch-metric-learning
pytorch-optimizer (π₯29 Β· β 2.3K) - torch-optimizer -- collection of optimizers for.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
lightning-flash (π₯28 Β· β 1.3K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
EfficientNet-PyTorch (π₯27 Β· β 6.7K Β· π€) - A PyTorch implementation of EfficientNet and.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
accelerate (π₯27 Β· β 2.1K) - A simple way to train and use PyTorch models with multi-.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
pytorch-summary (π₯26 Β· β 3.4K Β· π€) - Model summary in PyTorch similar to `model.summary()`.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
torchdiffeq (π₯25 Β· β 3.9K) - Differentiable ODE solvers with full GPU support and.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
Torchmeta (π₯25 Β· β 1.5K) - A collection of extensions and data-loaders for few-shot learning.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
SRU (π₯24 Β· β 2K Β· π€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
torch-scatter (π₯24 Β· β 850) - PyTorch Extension Library of Optimized Scatter Operations. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
PyTorch Sparse (π₯23 Β· β 550) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
EfficientNets (π₯22 Β· β 1.4K) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
Pytorch Toolbelt (π₯22 Β· β 1.2K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
reformer-pytorch (π₯21 Β· β 1.7K) - Reformer, the efficient Transformer, in Pytorch. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
Higher (π₯21 Β· β 1.3K) - higher is a pytorch library allowing users to obtain higher.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
tinygrad (π₯19 Β· β 5.1K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 52 Β· π 570 Β· π¦ 1 Β· π 110 - 19% open Β· β±οΈ 06.01.2022):
git clone https://github.com/geohot/tinygrad
Performer Pytorch (π₯19 Β· β 770) - An implementation of Performer, a linear attention-based.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
Tensor Sensor (π₯19 Β· β 620) - The goal of this library is to generate more helpful.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
Pywick (π₯17 Β· β 360) - High-level batteries-included neural network training library for.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
torchsde (π₯16 Β· β 890) - Differentiable SDE solvers with GPU support and efficient.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 5 Β· π 99 Β· π¦ 9 Β· π 43 - 16% open Β· β±οΈ 26.07.2021):
git clone https://github.com/google-research/torchsde
Tez (π₯16 Β· β 740) - Tez is a super-simple and lightweight Trainer for PyTorch. It also.. Apache-2
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
Torch-Struct (π₯14 Β· β 1K) - Fast, general, and tested differentiable structured prediction.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (π¨βπ» 14 Β· π 80 Β· π 52 - 46% open Β· β±οΈ 04.11.2021):
git clone https://github.com/harvardnlp/pytorch-struct
Show 7 hidden projects...
- pretrainedmodels (π₯30 Β· β 8.4K Β· π) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,..
BSD-3
- Poutyne (π₯21 Β· β 510) - A simplified framework and utilities for PyTorch.
βοΈLGPL-3.0
- AdaBound (π₯20 Β· β 2.9K Β· π) - An optimizer that trains as fast as Adam and as good as SGD.
Apache-2
- Antialiased CNNs (π₯19 Β· β 1.5K) - pip install antialiased-cnns to improve stability and..
βοΈCC BY-NC-SA 4.0
- Lambda Networks (π₯17 Β· β 1.5K Β· π) - Implementation of LambdaNetworks, a new approach to..
MIT
- micrograd (π₯14 Β· β 1.9K Β· π) - A tiny scalar-valued autograd engine and a neural net library..
MIT
- TorchDrift (π₯12 Β· β 190 Β· π€) - Drift Detection for your PyTorch Models.
Apache-2
Libraries for connecting to, operating, and querying databases.
π best-of-python - DB Clients ( β 1.9K) - Collection of database clients for python.
scipy (π₯49 Β· β 9.1K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
SymPy (π₯45 Β· β 8.8K) - A computer algebra system written in pure Python. BSD-3
-
GitHub (π¨βπ» 1.1K Β· π 3.5K Β· π₯ 440K Β· π¦ 38K Β· π 12K - 35% open Β· β±οΈ 13.01.2022):
git clone https://github.com/sympy/sympy
-
PyPi (π₯ 1.8M / month Β· π¦ 4K Β· β±οΈ 08.10.2021):
pip install sympy
-
Conda (π₯ 1.8M Β· β±οΈ 06.11.2021):
conda install -c conda-forge sympy
Datasette (π₯33 Β· β 5.7K) - An open source multi-tool for exploring and publishing data. Apache-2
PyOD (π₯33 Β· β 5.2K) - (JMLR 19) A Python Toolbox for Scalable Outlier Detection (Anomaly.. BSD-2
DeepChem (π₯33 Β· β 3.4K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
![](https://camo.githubusercontent.com/3f64fa9baf536c5be3e38d99ec2d82591aeac7d860a1ddb5fb40c87730fcb267/68747470733a2f2f6769742e696f2f4a4c793141)
hdbscan (π₯31 Β· β 2.1K) - A high performance implementation of HDBSCAN clustering. BSD-3
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
-
GitHub (π¨βπ» 76 Β· π 370 Β· π¦ 1.2K Β· π 410 - 62% open Β· β±οΈ 12.01.2022):
git clone https://github.com/scikit-learn-contrib/hdbscan
-
PyPi (π₯ 300K / month Β· π¦ 140 Β· β±οΈ 03.02.2021):
pip install hdbscan
-
Conda (π₯ 1M Β· β±οΈ 14.02.2021):
conda install -c conda-forge hdbscan
Pythran (π₯31 Β· β 1.7K) - Ahead of Time compiler for numeric kernels. BSD-3
-
GitHub (π¨βπ» 64 Β· π 170 Β· π¦ 93 Β· π 740 - 15% open Β· β±οΈ 11.01.2022):
git clone https://github.com/serge-sans-paille/pythran
-
PyPi (π₯ 250K / month Β· π¦ 14 Β· β±οΈ 14.12.2021):
pip install pythran
-
Conda (π₯ 210K Β· β±οΈ 14.12.2021):
conda install -c conda-forge pythran
PennyLane (π₯30 Β· β 1.1K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2
agate (π₯30 Β· β 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT
causalml (π₯29 Β· β 2.6K) - Uplift modeling and causal inference with machine learning.. Apache-2
TabPy (π₯28 Β· β 1.2K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
pyjanitor (π₯28 Β· β 800) - Clean APIs for data cleaning. Python implementation of R package Janitor. MIT
-
GitHub (π¨βπ» 96 Β· π 130 Β· π¦ 140 Β· π 430 - 21% open Β· β±οΈ 13.01.2022):
git clone https://github.com/pyjanitor-devs/pyjanitor
-
PyPi (π₯ 14K / month Β· π¦ 10 Β· β±οΈ 21.11.2021):
pip install pyjanitor
-
Conda (π₯ 110K Β· β±οΈ 22.11.2021):
conda install -c conda-forge pyjanitor
metric-learn (π₯27 Β· β 1.2K) - Metric learning algorithms in Python. MIT
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
kmodes (π₯27 Β· β 950) - Python implementations of the k-modes and k-prototypes clustering.. MIT
pyclustering (π₯27 Β· β 910 Β· π€) - pyclustring is a Python, C++ data mining library. BSD-3
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GitHub (π¨βπ» 26 Β· π 210 Β· π₯ 380 Β· π¦ 260 Β· π 650 - 8% open Β· β±οΈ 12.02.2021):
git clone https://github.com/annoviko/pyclustering
-
PyPi (π₯ 42K / month Β· π¦ 28 Β· β±οΈ 25.11.2020):
pip install pyclustering
-
Conda (π₯ 33K Β· β±οΈ 13.09.2021):
conda install -c conda-forge pyclustering
Mars (π₯26 Β· β 2.3K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2
PySwarms (π₯26 Β· β 870 Β· π€) - A research toolkit for particle swarm optimization in Python. MIT
River (π₯25 Β· β 3K) - Online machine learning in Python. BSD-3
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GitHub (π¨βπ» 70 Β· π 320 Β· π¦ 66 Β· π 340 - 1% open Β· β±οΈ 05.01.2022):
git clone https://github.com/online-ml/river
alibi-detect (π₯25 Β· β 1.1K) - Algorithms for outlier, adversarial and drift detection. Apache-2
AstroML (π₯23 Β· β 790 Β· π€) - Machine learning, statistics, and data mining for astronomy and.. BSD-2
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
StreamAlert (π₯22 Β· β 2.6K) - StreamAlert is a serverless, realtime data analysis framework.. Apache-2
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GitHub (π¨βπ» 33 Β· π 320 Β· π 340 - 24% open Β· β±οΈ 04.11.2021):
git clone https://github.com/airbnb/streamalert
gplearn (π₯22 Β· β 1.1K) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
avalanche (π₯22 Β· β 700) - Avalanche: an End-to-End Library for Continual Learning. MIT
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GitHub (π¨βπ» 48 Β· π 110 Β· π 450 - 15% open Β· β±οΈ 11.01.2022):
git clone https://github.com/ContinualAI/avalanche
impyute (π₯21 Β· β 300) - Data imputations library to preprocess datasets with missing data. MIT
opyrator (π₯20 Β· β 2.5K Β· π€) - Turns your machine learning code into microservices with web API,.. MIT
scikit-rebate (π₯20 Β· β 340 Β· π€) - A scikit-learn-compatible Python implementation of.. MIT
![](https://camo.githubusercontent.com/619fbb484a3502342b45995fdb5171ee4a3e442a814d3e0f2b4096dee1f9abaa/68747470733a2f2f6769742e696f2f4a4c793146)
SUOD (π₯20 Β· β 300) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2
pykale (π₯19 Β· β 320) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT
![](https://camo.githubusercontent.com/81be20497429841b92409195024635197e3785e0fe09270ee7d8e02986f737e6/68747470733a2f2f6769742e696f2f4a4c793151)
baikal (π₯18 Β· β 590 Β· π€) - A graph-based functional API for building complex scikit-learn.. BSD-3
apricot (π₯18 Β· β 400) - apricot implements submodular optimization for the purpose of selecting.. MIT
traingenerator (π₯13 Β· β 1.1K Β· π€) - A web app to generate template code for machine learning. MIT
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GitHub (π¨βπ» 3 Β· π 160 Β· π 16 - 81% open Β· β±οΈ 29.04.2021):
git clone https://github.com/jrieke/traingenerator
Show 12 hidden projects...
- datalad (π₯31 Β· β 270) - Keep code, data, containers under control with git and git-annex.
MIT
- Cython BLIS (π₯29 Β· β 180) - Fast matrix-multiplication as a self-contained Python library no..
BSD-3
- pysc2 (π₯28 Β· β 7.4K Β· π) - StarCraft II Learning Environment.
Apache-2
- minisom (π₯23 Β· β 990) - MiniSom is a minimalistic implementation of the Self Organizing..
βοΈCC-BY-3.0
- cleanlab (π₯22 Β· β 2.6K) - The standard package for machine learning with noisy labels,..
βοΈAGPL-3.0
- mlens (π₯21 Β· β 710 Β· π) - ML-Ensemble high performance ensemble learning.
MIT
- vecstack (π₯21 Β· β 640 Β· π) - Python package for stacking (machine learning technique).
MIT
- rrcf (π₯19 Β· β 350 Β· π) - Implementation of the Robust Random Cut Forest algorithm for anomaly..
MIT
- pandas-ml (π₯18 Β· β 280 Β· π) - pandas, scikit-learn, xgboost and seaborn integration.
BSD-3
- Feature Engine (π₯17 Β· β 11) - Feature engineering package with sklearn like functionality.
BSD-3
- dstack (π₯12 Β· β 180) - An open-source tool to rapidly develop data applications with Python.
Apache-2
- nylon (π₯11 Β· β 76) - An intelligent, flexible grammar of machine learning.
MIT
- Papers With Code: Discover ML papers, code, and evaluation tables.
- Sotabench: Discover & compare open-source ML models.
- Google Dataset Search: Dataset search engine by Google.
- Dataset List: List of the biggest ML datasets from across the web.
- Awesome Public Datasets: A topic-centric list of open datasets.
- Best-of lists: Discover other best-of lists with awesome open-source projects on all kinds of topics.
- best-of-python-dev: A ranked list of awesome python developer tools and libraries.
- best-of-web-python: A ranked list of awesome python libraries for web development.
Contributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways:
- Open an issue by selecting one of the provided categories from the issue page and fill in the requested information.
- Modify the projects.yaml with your additions or changes, and submit a pull request. This can also be done directly via the Github UI.
If you like to contribute to or share suggestions regarding the project metadata collection or markdown generation, please refer to the best-of-generator repository. If you like to create your own best-of list, we recommend to follow this guide.
For more information on how to add or update projects, please read the contribution guidelines. By participating in this project, you agree to abide by its Code of Conduct.