🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
This curated list contains 920 awesome open-source projects with a total of 4.7M stars grouped into 34 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 63 projects
- Data Visualization 54 projects
- Text Data & NLP 103 projects
- Image Data 64 projects
- Graph Data 36 projects
- Audio Data 29 projects
- Geospatial Data 22 projects
- Financial Data 25 projects
- Time Series Data 30 projects
- Medical Data 19 projects
- Tabular Data 5 projects
- Optical Character Recognition 12 projects
- Data Containers & Structures 1 projects
- Data Loading & Extraction 1 projects
- Web Scraping & Crawling 1 projects
- Data Pipelines & Streaming 1 projects
- Distributed Machine Learning 36 projects
- Hyperparameter Optimization & AutoML 52 projects
- Reinforcement Learning 23 projects
- Recommender Systems 17 projects
- Privacy Machine Learning 7 projects
- Workflow & Experiment Tracking 40 projects
- Model Serialization & Deployment 20 projects
- Model Interpretability 54 projects
- Vector Similarity Search (ANN) 13 projects
- Probabilistics & Statistics 23 projects
- Adversarial Robustness 9 projects
- GPU & Accelerator Utilities 20 projects
- Tensorflow Utilities 16 projects
- Jax Utilities 3 projects
- Sklearn Utilities 19 projects
- Pytorch Utilities 32 projects
- Database Clients 1 projects
- Others 66 projects
- 🥇🥈🥉 Combined project-quality score
- ⭐️ Star count from GitHub
- 🐣 New project (less than 6 months old)
- 💤 Inactive project (6 months no activity)
- 💀 Dead project (12 months no activity)
- 📈📉 Project is trending up or down
- ➕ Project was recently added
- ❗️ Warning (e.g. missing/risky license)
- 👨💻 Contributors count from GitHub
- 🔀 Fork count from GitHub
- 📋 Issue count from GitHub
- ⏱️ Last update timestamp on package manager
- 📥 Download count from package manager
- 📦 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
Jax related project
General-purpose machine learning and deep learning frameworks.
Tensorflow (🥇55 · ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2
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GitHub (👨💻 4.7K · 🔀 74K · 📦 420K · 📋 44K - 12% open · ⏱️ 31.10.2024):
git clone https://github.com/tensorflow/tensorflow -
PyPi (📥 19M / month · 📦 8K · ⏱️ 25.10.2024):
pip install tensorflow -
Conda (📥 5.1M · ⏱️ 17.10.2024):
conda install -c conda-forge tensorflow -
Docker Hub (📥 78M · ⭐ 2.6K · ⏱️ 31.10.2024):
docker pull tensorflow/tensorflow
scikit-learn (🥇53 · ⭐ 60K · 📈) - scikit-learn: machine learning in Python. BSD-3
XGBoost (🥇46 · ⭐ 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
PaddlePaddle (🥇45 · ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
StatsModels (🥇45 · ⭐ 10K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
pytorch-lightning (🥈43 · ⭐ 28K · 📉) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
LightGBM (🥈43 · ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
Catboost (🥈42 · ⭐ 8.1K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
Jina (🥈37 · ⭐ 21K · 📉) - Build multimodal AI applications with cloud-native stack. Apache-2
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GitHub (👨💻 180 · 🔀 2.2K · 📋 1.9K - 0% open · ⏱️ 25.10.2024):
git clone https://github.com/jina-ai/jina -
PyPi (📥 170K / month · 📦 27 · ⏱️ 25.10.2024):
pip install jina -
Conda (📥 78K · ⏱️ 16.06.2023):
conda install -c conda-forge jina-core -
Docker Hub (📥 1.7M · ⭐ 8 · ⏱️ 25.10.2024):
docker pull jinaai/jina
Theano (🥈37 · ⭐ 9.9K · 💤) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
einops (🥈36 · ⭐ 8.5K) - Flexible and powerful tensor operations for readable and reliable code.. MIT
Thinc (🥈36 · ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
Vowpal Wabbit (🥈35 · ⭐ 8.5K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
Determined (🥉31 · ⭐ 3K) - Determined is an open-source machine learning platform.. Apache-2
tensorflow-upstream (🥉31 · ⭐ 680) - TensorFlow ROCm port. Apache-2
Neural Network Libraries (🥉29 · ⭐ 2.7K) - Neural Network Libraries. Apache-2
SHOGUN (🥉26 · ⭐ 3K · 💤) - Unified and efficient Machine Learning. BSD-3
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GitHub (👨💻 250 · 🔀 1K · 📋 1.5K - 27% open · ⏱️ 19.12.2023):
git clone https://github.com/shogun-toolbox/shogun -
Conda (📥 150K · ⏱️ 16.06.2023):
conda install -c conda-forge shogun -
Docker Hub (📥 1.5K · ⭐ 1 · ⏱️ 31.01.2019):
docker pull shogun/shogun
Neural Tangents (🥉24 · ⭐ 2.3K · 💤) - Fast and Easy Infinite Neural Networks in Python. Apache-2
Runhouse (🥉23 · ⭐ 970) - Dispatch and distribute your ML training to serverless clusters in.. Apache-2
ThunderSVM (🥉22 · ⭐ 1.6K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
Torchbearer (🥉22 · ⭐ 640 · 💤) - torchbearer: A model fitting library for PyTorch. MIT
chefboost (🥉22 · ⭐ 460) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
mace (🥉21 · ⭐ 4.9K · 💤) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
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GitHub (👨💻 69 · 🔀 820 · 📥 1.5K · 📋 680 - 8% open · ⏱️ 11.03.2024):
git clone https://github.com/XiaoMi/mace
ThunderGBM (🥉18 · ⭐ 690 · 💤) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
Show 17 hidden projects...
- dlib (🥈40 · ⭐ 14K) - A toolkit for making real world machine learning and data analysis..
❗️BSL-1.0 - MXNet (🥈38 · ⭐ 21K · 💀) - Lightweight, Portable, Flexible Distributed/Mobile Deep..
Apache-2 - ivy (🥈36 · ⭐ 14K) - Convert Machine Learning Code Between Frameworks.
❗️Intel-ACPI - Chainer (🥉34 · ⭐ 5.9K · 💀) - A flexible framework of neural networks for deep learning.
MIT - MindsDB (🥉33 · ⭐ 27K) - The platform for building AI from enterprise data.
❗️MulanPSL-1.0 - Turi Create (🥉32 · ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine..
BSD-3 - tensorpack (🥉32 · ⭐ 6.3K · 💀) - A Neural Net Training Interface on TensorFlow, with..
Apache-2 - TFlearn (🥉31 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow.
MIT - CNTK (🥉30 · ⭐ 18K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.
MIT - Lasagne (🥉28 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano.
MIT - NuPIC (🥉27 · ⭐ 6.3K · 💀) - Numenta Platform for Intelligent Computing is an implementation..
❗️AGPL-3.0 - xLearn (🥉25 · ⭐ 3.1K · 💀) - High performance, easy-to-use, and scalable machine learning (ML)..
Apache-2 - neon (🥉24 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best..
Apache-2 - NeuPy (🥉24 · ⭐ 740 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building..
MIT - elegy (🥉20 · ⭐ 470 · 💀) - A High Level API for Deep Learning in JAX.
MIT - StarSpace (🥉16 · ⭐ 3.9K · 💀) - Learning embeddings for classification, retrieval and ranking.
MIT - nanodl (🥉16 · ⭐ 270) - A Jax-based library for designing and training transformer models from..
MIT
General-purpose and task-specific data visualization libraries.
Matplotlib (🥇48 · ⭐ 20K) - matplotlib: plotting with Python. ❗Unlicensed
Plotly (🥇45 · ⭐ 16K) - The interactive graphing library for Python This project now includes.. MIT
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GitHub (👨💻 280 · 🔀 2.5K · 📦 320K · 📋 3K - 17% open · ⏱️ 24.10.2024):
git clone https://github.com/plotly/plotly.py -
PyPi (📥 20M / month · 📦 6.3K · ⏱️ 12.09.2024):
pip install plotly -
Conda (📥 7.3M · ⏱️ 12.09.2024):
conda install -c conda-forge plotly -
npm (📥 5.9K / month · 📦 9 · ⏱️ 12.01.2021):
npm install plotlywidget
HoloViews (🥈38 · ⭐ 2.7K) - With Holoviews, your data visualizes itself. BSD-3
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GitHub (👨💻 140 · 🔀 400 · 📦 13K · 📋 3.3K - 32% open · ⏱️ 29.10.2024):
git clone https://github.com/holoviz/holoviews -
PyPi (📥 560K / month · 📦 400 · ⏱️ 23.10.2024):
pip install holoviews -
Conda (📥 1.8M · ⏱️ 07.07.2024):
conda install -c conda-forge holoviews -
npm (📥 270 / month · 📦 5 · ⏱️ 01.08.2024):
npm install @pyviz/jupyterlab_pyviz
pandas-profiling (🥈37 · ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT
VisPy (🥈34 · ⭐ 3.3K) - High-performance interactive 2D/3D data visualization library. BSD-3
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GitHub (👨💻 200 · 🔀 620 · 📦 1.7K · 📋 1.5K - 24% open · ⏱️ 07.10.2024):
git clone https://github.com/vispy/vispy -
PyPi (📥 290K / month · 📦 170 · ⏱️ 17.06.2024):
pip install vispy -
Conda (📥 630K · ⏱️ 04.09.2024):
conda install -c conda-forge vispy -
npm (📥 9 / month · 📦 3 · ⏱️ 15.03.2020):
npm install vispy
datashader (🥈34 · ⭐ 3.3K) - Quickly and accurately render even the largest data. BSD-3
Perspective (🥈33 · ⭐ 8.4K) - A data visualization and analytics component, especially.. Apache-2
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GitHub (👨💻 98 · 🔀 1.2K · 📥 5.6K · 📦 150 · 📋 820 - 12% open · ⏱️ 31.10.2024):
git clone https://github.com/finos/perspective -
PyPi (📥 22K / month · 📦 26 · ⏱️ 22.10.2024):
pip install perspective-python -
Conda (📥 1.3M · ⏱️ 21.09.2024):
conda install -c conda-forge perspective -
npm (📥 3.8K / month · 📦 6 · ⏱️ 22.10.2024):
npm install @finos/perspective-jupyterlab
hvPlot (🥈32 · ⭐ 1.1K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
D-Tale (🥉31 · ⭐ 4.8K) - Visualizer for pandas data structures. ❗️LGPL-2.1
mpld3 (🥉30 · ⭐ 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3
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GitHub (👨💻 53 · 🔀 360 · 📦 6.6K · 📋 360 - 59% open · ⏱️ 30.10.2024):
git clone https://github.com/mpld3/mpld3 -
PyPi (📥 340K / month · 📦 150 · ⏱️ 23.12.2023):
pip install mpld3 -
Conda (📥 210K · ⏱️ 23.12.2023):
conda install -c conda-forge mpld3 -
npm (📥 850 / month · 📦 9 · ⏱️ 23.12.2023):
npm install mpld3
bqplot (🥉29 · ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2
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GitHub (👨💻 65 · 🔀 460 · 📦 59 · 📋 630 - 41% open · ⏱️ 22.10.2024):
git clone https://github.com/bqplot/bqplot -
PyPi (📥 190K / month · 📦 99 · ⏱️ 25.03.2024):
pip install bqplot -
Conda (📥 1.4M · ⏱️ 19.02.2024):
conda install -c conda-forge bqplot -
npm (📥 2.6K / month · 📦 21 · ⏱️ 25.03.2024):
npm install bqplot
Chartify (🥉27 · ⭐ 3.5K) - Python library that makes it easy for data scientists to create.. Apache-2
Sweetviz (🥉27 · ⭐ 2.9K · 💤) - Visualize and compare datasets, target values and associations, with.. MIT
HyperTools (🥉26 · ⭐ 1.8K · 💤) - A Python toolbox for gaining geometric insights into high-.. MIT
AutoViz (🥉26 · ⭐ 1.7K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
data-validation (🥉26 · ⭐ 760) - Library for exploring and validating machine learning.. Apache-2
Plotly-Resampler (🥉25 · ⭐ 1K) - Visualize large time series data with plotly.py. MIT
python-ternary (🥉24 · ⭐ 730) - Ternary plotting library for python with matplotlib. MIT
Multicore-TSNE (🥉23 · ⭐ 1.9K · 💤) - Parallel t-SNE implementation with Python and Torch.. BSD-3
animatplot (🥉21 · ⭐ 410) - A python package for animating plots build on matplotlib. MIT
vegafusion (🥉20 · ⭐ 320) - Serverside scaling for Vega and Altair visualizations. BSD-3
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GitHub (👨💻 4 · 🔀 18 · 📥 7.7K · 📋 140 - 36% open · ⏱️ 14.08.2024):
git clone https://github.com/vegafusion/vegafusion -
PyPi (📥 4.1K / month · 📦 2 · ⏱️ 09.05.2024):
pip install vegafusion-jupyter -
Conda (📥 260K · ⏱️ 31.10.2024):
conda install -c conda-forge vegafusion-python-embed -
npm (📥 180 / month · 📦 3 · ⏱️ 09.05.2024):
npm install vegafusion-jupyter
Show 15 hidden projects...
- missingno (🥉29 · ⭐ 3.9K · 💀) - Missing data visualization module for Python.
MIT - Cufflinks (🥉29 · ⭐ 3K · 💀) - Productivity Tools for Plotly + Pandas.
MIT - Facets Overview (🥉28 · ⭐ 7.4K · 💀) - Visualizations for machine learning datasets.
Apache-2 - pythreejs (🥉28 · ⭐ 950 · 💀) - A Jupyter - Three.js bridge.
BSD-3 - HiPlot (🥉25 · ⭐ 2.7K · 💀) - HiPlot makes understanding high dimensional data easy.
MIT - PandasGUI (🥉23 · ⭐ 3.2K · 💤) - A GUI for Pandas DataFrames.
❗️MIT-0 - Pandas-Bokeh (🥉23 · ⭐ 880 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas.
MIT - pivottablejs (🥉22 · ⭐ 690 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython..
MIT - PDPbox (🥉21 · ⭐ 840 · 💀) - python partial dependence plot toolbox.
MIT - joypy (🥉21 · ⭐ 560 · 💀) - Joyplots in Python with matplotlib & pandas.
MIT - Popmon (🥉21 · ⭐ 500 · 💀) - Monitor the stability of a Pandas or Spark dataframe.
MIT - pdvega (🥉17 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite.
MIT - data-describe (🥉15 · ⭐ 300 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science.
Apache-2 - nx-altair (🥉15 · ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair.
MIT - nptsne (🥉13 · ⭐ 32 · 💀) - 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 (🥇52 · ⭐ 130K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
nltk (🥇45 · ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
sentence-transformers (🥇41 · ⭐ 15K) - State-of-the-Art Text Embeddings. Apache-2
Tokenizers (🥇40 · ⭐ 9K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
gensim (🥇39 · ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1
flair (🥇38 · ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
sentencepiece (🥇37 · ⭐ 10K · 📉) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
TextBlob (🥇36 · ⭐ 9.1K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
haystack (🥈35 · ⭐ 17K) - AI orchestration framework to build customizable, production-ready.. Apache-2
stanza (🥈34 · ⭐ 7.3K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
rubrix (🥈34 · ⭐ 3.9K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
ftfy (🥈34 · ⭐ 3.8K · 📈) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
TensorFlow Text (🥈34 · ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
qdrant (🥈33 · ⭐ 20K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2
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GitHub (👨💻 120 · 🔀 1.4K · 📥 240K · 📦 120 · 📋 1.3K - 23% open · ⏱️ 11.10.2024):
git clone https://github.com/qdrant/qdrant
jellyfish (🥈33 · ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT
DeepPavlov (🥈31 · ⭐ 6.7K) - An open source library for deep learning end-to-end dialog.. Apache-2
TextDistance (🥈30 · ⭐ 3.4K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
SciSpacy (🥈30 · ⭐ 1.7K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
snowballstemmer (🥈30 · ⭐ 760) - Snowball compiler and stemming algorithms. BSD-3
Ciphey (🥈28 · ⭐ 18K · 💤) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
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GitHub (👨💻 48 · 🔀 1.2K · 📋 340 - 22% open · ⏱️ 12.10.2023):
git clone https://github.com/Ciphey/Ciphey -
PyPi (📥 210K / month · ⏱️ 06.06.2021):
pip install ciphey -
Docker Hub (📥 26K · ⭐ 17 · ⏱️ 14.10.2023):
docker pull remnux/ciphey
spacy-transformers (🥈28 · ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
english-words (🥉27 · ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense
scattertext (🥉26 · ⭐ 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2
PyTextRank (🥉26 · ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
promptsource (🥉24 · ⭐ 2.7K · 💤) - Toolkit for creating, sharing and using natural language.. Apache-2
happy-transformer (🥉23 · ⭐ 520 · 💤) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
small-text (🥉22 · ⭐ 560) - Active Learning for Text Classification in Python. MIT
textaugment (🥉18 · ⭐ 400 · 💤) - TextAugment: Text Augmentation Library. MIT
OpenNRE (🥉16 · ⭐ 4.3K · 💤) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
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GitHub (👨💻 13 · 🔀 1.1K · 📋 370 - 4% open · ⏱️ 10.01.2024):
git clone https://github.com/thunlp/OpenNRE
Show 52 hidden projects...
- AllenNLP (🥇36 · ⭐ 12K · 💀) - An open-source NLP research library, built on PyTorch.
Apache-2 - ChatterBot (🥈35 · ⭐ 14K · 💀) - ChatterBot is a machine learning, conversational dialog engine..
BSD-3 - fuzzywuzzy (🥈31 · ⭐ 9.2K · 💀) - Fuzzy String Matching in Python.
❗️GPL-2.0 - nlpaug (🥈29 · ⭐ 4.4K · 💀) - Data augmentation for NLP.
MIT - fastNLP (🥈29 · ⭐ 3.1K · 💀) - fastNLP: A Modularized and Extensible NLP Framework. Currently..
Apache-2 - GluonNLP (🥈29 · ⭐ 2.6K · 💀) - Toolkit that enables easy text preprocessing, datasets..
Apache-2 - langid (🥈28 · ⭐ 2.3K · 💀) - Stand-alone language identification system.
BSD-3 - underthesea (🥈28 · ⭐ 1.4K) - Underthesea - Vietnamese NLP Toolkit.
❗️GPL-3.0 - vaderSentiment (🥉27 · ⭐ 4.4K · 💀) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary..
MIT - textacy (🥉27 · ⭐ 2.2K · 💀) - NLP, before and after spaCy.
❗Unlicensed - FARM (🥉27 · ⭐ 1.7K · 💀) - Fast & easy transfer learning for NLP. Harvesting language..
Apache-2 - pySBD (🥉27 · ⭐ 800 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence..
MIT - flashtext (🥉26 · ⭐ 5.6K · 💀) - Extract Keywords from sentence or Replace keywords in sentences.
MIT - Snips NLU (🥉26 · ⭐ 3.9K · 💀) - Snips Python library to extract meaning from text.
Apache-2 - MatchZoo (🥉26 · ⭐ 3.8K · 💀) - Facilitating the design, comparison and sharing of deep..
Apache-2 - polyglot (🥉26 · ⭐ 2.3K · 💀) - Multilingual text (NLP) processing toolkit.
❗️GPL-3.0 - PyText (🥉25 · ⭐ 6.3K · 💀) - A natural language modeling framework based on PyTorch.
BSD-3 - neuralcoref (🥉25 · ⭐ 2.9K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks.
MIT - Kashgari (🥉25 · ⭐ 2.4K · 💀) - Kashgari is a production-level NLP Transfer learning..
Apache-2 - pytorch-nlp (🥉25 · ⭐ 2.2K · 💀) - Basic Utilities for PyTorch Natural Language Processing..
BSD-3 - textgenrnn (🥉24 · ⭐ 4.9K · 💀) - Easily train your own text-generating neural network of any..
MIT - OpenPrompt (🥉24 · ⭐ 4.3K · 💀) - An Open-Source Framework for Prompt-Learning.
Apache-2 - sense2vec (🥉24 · ⭐ 1.6K · 💀) - Contextually-keyed word vectors.
MIT - whoosh (🥉24 · ⭐ 580 · 💀) - Pure-Python full-text search library.
❗️BSD-1-Clause - Texar (🥉23 · ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and..
Apache-2 - jiant (🥉23 · ⭐ 1.6K · 💀) - jiant is an nlp toolkit.
MIT - YouTokenToMe (🥉23 · ⭐ 960 · 💀) - Unsupervised text tokenizer focused on computational efficiency.
MIT - gpt-2-simple (🥉22 · ⭐ 3.4K · 💀) - Python package to easily retrain OpenAIs GPT-2 text-..
MIT - NLP Architect (🥉22 · ⭐ 2.9K · 💀) - A model library for exploring state-of-the-art deep..
Apache-2 - Texthero (🥉22 · ⭐ 2.9K · 💀) - Text preprocessing, representation and visualization from zero to..
MIT - anaGo (🥉22 · ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,..
MIT - stop-words (🥉22 · ⭐ 160 · 💀) - Get list of common stop words in various languages in Python.
BSD-3 - textpipe (🥉21 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text.
MIT - numerizer (🥉21 · ⭐ 220) - A Python module to convert natural language numerics into ints and..
MIT - DeepMatcher (🥉20 · ⭐ 5.1K · 💀) - Python package for performing Entity and Text Matching using..
BSD-3 - lightseq (🥉20 · ⭐ 3.2K · 💀) - LightSeq: A High Performance Library for Sequence Processing..
Apache-2 - DELTA (🥉20 · ⭐ 1.6K · 💀) - DELTA is a deep learning based natural language and speech..
Apache-2 - pyfasttext (🥉20 · ⭐ 230 · 💀) - Yet another Python binding for fastText.
❗️GPL-3.0 - nboost (🥉19 · ⭐ 680 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying..
Apache-2 - fastT5 (🥉19 · ⭐ 560 · 💀) - boost inference speed of T5 models by 5x & reduce the model size..
Apache-2 - Camphr (🥉19 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components.
Apache-2spacy - NeuroNER (🥉18 · ⭐ 1.7K · 💀) - Named-entity recognition using neural networks. Easy-to-use and..
MIT - skift (🥉17 · ⭐ 240 · 💀) - scikit-learn wrappers for Python fastText.
MIT - TextBox (🥉16 · ⭐ 1.1K · 💀) - TextBox 2.0 is a text generation library with pre-trained language..
MIT - Translate (🥉16 · ⭐ 820 · 💀) - Translate - a PyTorch Language Library.
BSD-3 - Headliner (🥉16 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models.
MIT - BLINK (🥉15 · ⭐ 1.2K · 💀) - Entity Linker solution.
MIT - ONNX-T5 (🥉15 · ⭐ 250 · 💀) - Summarization, translation, sentiment-analysis, text-generation..
Apache-2 - NeuralQA (🥉15 · ⭐ 230 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets..
MIT - TransferNLP (🥉14 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation..
MIT - textvec (🥉14 · ⭐ 190 · 💤) - Text vectorization tool to outperform TFIDF for classification..
MIT - spacy-dbpedia-spotlight (🥉12 · ⭐ 100 · 💀) - A spaCy wrapper for DBpedia Spotlight.
MITspacy
Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification.
PyTorch Image Models (🥇42 · ⭐ 32K) - The largest collection of PyTorch image encoders /.. Apache-2
torchvision (🥇42 · ⭐ 16K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
Albumentations (🥇40 · ⭐ 14K) - Fast and flexible image augmentation library. Paper about.. MIT
MMDetection (🥈37 · ⭐ 29K · 💤) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
InsightFace (🥈37 · ⭐ 23K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
opencv-python (🥈36 · ⭐ 4.5K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
detectron2 (🥈34 · ⭐ 30K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
vit-pytorch (🥈32 · ⭐ 20K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
imageai (🥈31 · ⭐ 8.6K · 💤) - A python library built to empower developers to build applications.. MIT
CellProfiler (🥈30 · ⭐ 910) - An open-source application for biological image analysis. BSD-3
PaddleDetection (🥈29 · ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
sahi (🥈29 · ⭐ 4.1K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
vidgear (🥈29 · ⭐ 3.4K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
facenet-pytorch (🥉28 · ⭐ 4.5K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
Face Alignment (🥉27 · ⭐ 7.1K) - 2D and 3D Face alignment library build using pytorch. BSD-3
tensorflow-graphics (🥉26 · ⭐ 2.7K · 📈) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
Norfair (🥉26 · ⭐ 2.4K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
pytorchvideo (🥉25 · ⭐ 3.3K) - A deep learning library for video understanding research. Apache-2
segmentation_models (🥉24 · ⭐ 4.7K) - Segmentation models with pretrained backbones. Keras.. MIT
icevision (🥉22 · ⭐ 850) - An Agnostic Computer Vision Framework - Pluggable to any Training.. Apache-2
DE⫶TR (🥉21 · ⭐ 14K · 💤) - End-to-End Object Detection with Transformers. Apache-2
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GitHub (👨💻 27 · 🔀 2.4K · 📦 21 · 📋 540 - 47% open · ⏱️ 12.03.2024):
git clone https://github.com/facebookresearch/detr
PySlowFast (🥉21 · ⭐ 6.6K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
scenic (🥉18 · ⭐ 3.3K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
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GitHub (👨💻 88 · 🔀 430 · 📋 270 - 55% open · ⏱️ 19.10.2024):
git clone https://github.com/google-research/scenic
Show 24 hidden projects...
- scikit-image (🥇42 · ⭐ 6.1K · 📉) - Image processing in Python.
❗Unlicensed - imgaug (🥈36 · ⭐ 14K · 💀) - Image augmentation for machine learning experiments.
MIT - glfw (🥈36 · ⭐ 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.
❗️Zlib - Face Recognition (🥈35 · ⭐ 53K · 💀) - The worlds simplest facial recognition api for Python..
MIT - PyTorch3D (🥈33 · ⭐ 8.8K) - PyTorch3D is FAIRs library of reusable components for..
❗Unlicensed - imutils (🥈31 · ⭐ 4.5K · 💀) - A series of convenience functions to make basic image processing..
MIT - GluonCV (🥈29 · ⭐ 5.8K · 💀) - Gluon CV Toolkit.
Apache-2 - layout-parser (🥉28 · ⭐ 4.9K · 💀) - A Unified Toolkit for Deep Learning Based Document Image..
Apache-2 - Pillow-SIMD (🥉27 · ⭐ 2.2K) - The friendly PIL fork.
❗️PIL - chainercv (🥉27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision.
MIT - Augmentor (🥉26 · ⭐ 5.1K · 💀) - Image augmentation library in Python for machine learning.
MIT - Image Deduplicator (🥉24 · ⭐ 5.1K · 💀) - Finding duplicate images made easy!.
Apache-2 - deep-daze (🥉23 · ⭐ 4.4K · 💀) - Simple command line tool for text to image generation using..
MIT - Luminoth (🥉23 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision.
BSD-3 - Classy Vision (🥉22 · ⭐ 1.6K · 💀) - An end-to-end PyTorch framework for image and video..
MIT - Image Super-Resolution (🥉21 · ⭐ 4.6K · 💀) - Super-scale your images and run experiments with..
Apache-2 - image-match (🥉20 · ⭐ 2.9K · 💀) - Quickly search over billions of images.
Apache-2 - pycls (🥉20 · ⭐ 2.1K · 💀) - Codebase for Image Classification Research, written in PyTorch.
MIT - nude.py (🥉20 · ⭐ 930 · 💀) - Nudity detection with Python.
MIT - detecto (🥉20 · ⭐ 610 · 💀) - Build fully-functioning computer vision models with PyTorch.
MIT - Caer (🥉18 · ⭐ 770 · 💀) - A lightweight Computer Vision library. Scale your models, not boilerplate.
MIT - solt (🥉18 · ⭐ 260) - Streaming over lightweight data transformations.
MIT - Torch Points 3D (🥉17 · ⭐ 220 · 💀) - Pytorch framework for doing deep learning on point..
BSD-3 - HugsVision (🥉16 · ⭐ 190 · 💀) - HugsVision is a easy to use huggingface wrapper for state-of-..
MIThuggingface
Libraries for graph processing, clustering, embedding, and machine learning tasks.
PyTorch Geometric (🥇40 · ⭐ 21K) - Graph Neural Network Library for PyTorch. MIT
dgl (🥇38 · ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
pygraphistry (🥈32 · ⭐ 2.2K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
PyKEEN (🥈32 · ⭐ 1.7K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
ogb (🥈28 · ⭐ 1.9K · 💤) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
AmpliGraph (🥈26 · ⭐ 2.2K · 💤) - Python library for Representation Learning on Knowledge.. Apache-2
pytorch_geometric_temporal (🥈25 · ⭐ 2.7K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
PyTorch-BigGraph (🥈24 · ⭐ 3.4K · 💤) - Generate embeddings from large-scale graph-structured.. BSD-3
torch-cluster (🥉22 · ⭐ 820) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
kglib (🥉17 · ⭐ 550 · 💤) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2
OpenNE (🥉14 · ⭐ 1.7K · 💤) - An Open-Source Package for Network Embedding (NE). MIT
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GitHub (👨💻 12 · 🔀 490 · 📋 110 - 9% open · ⏱️ 10.01.2024):
git clone https://github.com/thunlp/OpenNE
GraphVite (🥉14 · ⭐ 1.2K) - GraphVite: A General and High-performance Graph Embedding System. Apache-2
Show 18 hidden projects...
- igraph (🥇35 · ⭐ 1.3K) - Python interface for igraph.
❗️GPL-2.0 - StellarGraph (🥈28 · ⭐ 2.9K · 💀) - StellarGraph - Machine Learning on Graphs.
Apache-2 - pygal (🥈28 · ⭐ 2.6K) - PYthon svg GrAph plotting Library.
❗️LGPL-3.0 - Paddle Graph Learning (🥈26 · ⭐ 1.6K · 💀) - Paddle Graph Learning (PGL) is an efficient and..
Apache-2 - Karate Club (🥈24 · ⭐ 2.2K) - Karate Club: An API Oriented Open-source Python Framework for..
❗️GPL-3.0 - graph-nets (🥉22 · ⭐ 5.4K · 💀) - Build Graph Nets in Tensorflow.
Apache-2 - graph4nlp (🥉22 · ⭐ 1.7K · 💀) - Graph4nlp is the library for the easy use of Graph..
Apache-2 - jraph (🥉22 · ⭐ 1.4K · 💀) - A Graph Neural Network Library in Jax.
Apache-2 - pyRDF2Vec (🥉21 · ⭐ 250 · 💀) - Python Implementation and Extension of RDF2Vec.
MIT - DeepWalk (🥉20 · ⭐ 2.7K · 💀) - DeepWalk - Deep Learning for Graphs.
❗️GPL-3.0 - DIG (🥉20 · ⭐ 1.9K · 💤) - A library for graph deep learning research.
❗️GPL-3.0 - GraphGym (🥉19 · ⭐ 1.7K · 💀) - Platform for designing and evaluating Graph Neural Networks (GNN).
MIT - DeepGraph (🥉19 · ⭐ 280 · 💤) - Analyze Data with Pandas-based Networks. Documentation:.
BSD-3 - Euler (🥉16 · ⭐ 2.9K · 💀) - A distributed graph deep learning framework.
Apache-2 - GraphSAGE (🥉15 · ⭐ 3.4K · 💀) - Representation learning on large graphs using stochastic..
MIT - ptgnn (🥉15 · ⭐ 370 · 💀) - A PyTorch Graph Neural Network Library.
MIT - GraphEmbedding (🥉14 · ⭐ 3.7K · 💀) - Implementation and experiments of graph embedding..
MIT - OpenKE (🥉13 · ⭐ 3.8K · 💤) - An Open-Source Package for Knowledge Embedding (KE).
❗Unlicensed
Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks.
speechbrain (🥇41 · ⭐ 8.8K) - A PyTorch-based Speech Toolkit. Apache-2
SpeechRecognition (🥇35 · ⭐ 8.4K) - Speech recognition module for Python, supporting several.. BSD-3
torchaudio (🥇35 · ⭐ 2.5K) - Data manipulation and transformation for audio signal.. BSD-2
audiomentations (🥈31 · ⭐ 1.9K) - A Python library for audio data augmentation. Inspired by.. MIT
python-soundfile (🥉29 · ⭐ 710) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
pyAudioAnalysis (🥉28 · ⭐ 5.9K · 💤) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
Show 12 hidden projects...
- DeepSpeech (🥇35 · ⭐ 25K · 💀) - DeepSpeech is an open source embedded (offline, on-..
MPL-2.0 - Pydub (🥈34 · ⭐ 8.9K · 💀) - Manipulate audio with a simple and easy high level interface.
MIT - aubio (🥉28 · ⭐ 3.3K · 💤) - a library for audio and music analysis.
❗️GPL-3.0 - Essentia (🥉28 · ⭐ 2.8K) - C++ library for audio and music analysis, description and..
❗️AGPL-3.0 - TTS (🥉26 · ⭐ 9.4K · 💀) - Deep learning for Text to Speech (Discussion forum:..
MPL-2.0 - python_speech_features (🥉24 · ⭐ 2.4K · 💀) - This library provides common speech features for ASR..
MIT - Dejavu (🥉23 · ⭐ 6.4K · 💀) - Audio fingerprinting and recognition in Python.
MIT - kapre (🥉22 · ⭐ 920 · 💀) - kapre: Keras Audio Preprocessors.
MIT - TimeSide (🥉22 · ⭐ 370) - scalable audio processing framework and server written in Python.
❗️AGPL-3.0 - Julius (🥉21 · ⭐ 420 · 💀) - Fast PyTorch based DSP for audio and 1D signals.
MIT - Muda (🥉18 · ⭐ 230 · 💀) - A library for augmenting annotated audio data.
ISC - textlesslib (🥉10 · ⭐ 530 · 💀) - Library for Textless Spoken Language Processing.
MIT
Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding.
pydeck (🥇43 · ⭐ 12K) - WebGL2 powered visualization framework. MIT
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GitHub (👨💻 270 · 🔀 2.1K · 📦 8.2K · 📋 3.1K - 11% open · ⏱️ 21.10.2024):
git clone https://github.com/visgl/deck.gl -
PyPi (📥 5.6M / month · 📦 120 · ⏱️ 10.05.2024):
pip install pydeck -
Conda (📥 630K · ⏱️ 16.06.2023):
conda install -c conda-forge pydeck -
npm (📥 610K / month · 📦 300 · ⏱️ 24.10.2024):
npm install deck.gl
ArcGIS API (🥈37 · ⭐ 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2
ipyleaflet (🥉32 · ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT
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GitHub (👨💻 90 · 🔀 360 · 📦 12K · 📋 650 - 44% open · ⏱️ 21.10.2024):
git clone https://github.com/jupyter-widgets/ipyleaflet -
PyPi (📥 200K / month · 📦 280 · ⏱️ 22.07.2024):
pip install ipyleaflet -
Conda (📥 1.3M · ⏱️ 22.07.2024):
conda install -c conda-forge ipyleaflet -
npm (📥 7.5K / month · 📦 9 · ⏱️ 22.07.2024):
npm install jupyter-leaflet
pymap3d (🥉23 · ⭐ 390 · 💤) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2
Show 8 hidden projects...
- Geocoder (🥉32 · ⭐ 1.6K · 💀) - Python Geocoder.
MIT - Satpy (🥉32 · ⭐ 1.1K) - Python package for earth-observing satellite data processing.
❗️GPL-3.0 - Sentinelsat (🥉27 · ⭐ 980 · 💤) - Search and download Copernicus Sentinel satellite images.
❗️GPL-3.0 - EarthPy (🥉26 · ⭐ 510 · 💀) - A package built to support working with spatial data using open..
BSD-3 - prettymaps (🥉24 · ⭐ 11K) - A small set of Python functions to draw pretty maps from..
❗️AGPL-3.0 - Mapbox GL (🥉24 · ⭐ 660 · 💀) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook.
MIT - gmaps (🥉22 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks.
BSD-3 - geoplotlib (🥉20 · ⭐ 1K · 💀) - 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.
Alpha Vantage (🥈28 · ⭐ 4.3K) - A python wrapper for Alpha Vantage API for financial data. MIT
TensorTrade (🥉26 · ⭐ 4.5K) - An open source reinforcement learning framework for training,.. Apache-2
stockstats (🥉25 · ⭐ 1.3K · 💤) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
finmarketpy (🥉23 · ⭐ 3.4K) - Python library for backtesting trading strategies & analyzing.. Apache-2
Show 15 hidden projects...
- zipline (🥇32 · ⭐ 18K · 💀) - Zipline, a Pythonic Algorithmic Trading Library.
Apache-2 - arch (🥇32 · ⭐ 1.3K) - ARCH models in Python.
❗Unlicensed - pyfolio (🥈30 · ⭐ 5.7K · 💀) - Portfolio and risk analytics in Python.
Apache-2 - backtrader (🥈29 · ⭐ 15K · 💀) - Python Backtesting library for trading strategies.
❗️GPL-3.0 - Alphalens (🥉27 · ⭐ 3.3K · 💀) - Performance analysis of predictive (alpha) stock factors.
Apache-2 - Enigma Catalyst (🥉27 · ⭐ 2.5K · 💀) - An Algorithmic Trading Library for Crypto-Assets in..
Apache-2 - empyrical (🥉27 · ⭐ 1.3K · 💀) - Common financial risk and performance metrics. Used by..
Apache-2 - PyAlgoTrade (🥉24 · ⭐ 4.4K · 💀) - Python Algorithmic Trading Library.
Apache-2 - FinTA (🥉24 · ⭐ 2.1K · 💀) - Common financial technical indicators implemented in Pandas.
❗️LGPL-3.0 - Backtesting.py (🥉23 · ⭐ 5.5K · 💀) - Backtest trading strategies in Python.
❗️AGPL-3.0 - FinQuant (🥉23 · ⭐ 1.4K · 💀) - A program for financial portfolio management, analysis and..
MIT - Crypto Signals (🥉22 · ⭐ 4.9K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -..
MIT - tf-quant-finance (🥉22 · ⭐ 4.5K · 💀) - High-performance TensorFlow library for quantitative..
Apache-2 - surpriver (🥉12 · ⭐ 1.8K · 💀) - Find big moving stocks before they move using machine..
❗️GPL-3.0 - pyrtfolio (🥉9 · ⭐ 150 · 💀) - Python package to generate stock portfolios.
❗️GPL-3.0
Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data.
Prophet (🥇35 · ⭐ 18K) - Tool for producing high quality forecasts for time series data that has.. MIT
StatsForecast (🥇34 · ⭐ 3.9K) - Lightning fast forecasting with statistical and econometric.. Apache-2
pytorch-forecasting (🥈32 · ⭐ 4K) - Time series forecasting with PyTorch. MIT
STUMPY (🥈32 · ⭐ 3.7K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
NeuralForecast (🥈32 · ⭐ 3.1K) - Scalable and user friendly neural forecasting algorithms. Apache-2
Darts (🥈31 · ⭐ 8K) - A python library for user-friendly forecasting and anomaly detection on.. Apache-2
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GitHub (👨💻 120 · 🔀 870 · 📋 1.6K - 15% open · ⏱️ 27.10.2024):
git clone https://github.com/unit8co/darts -
PyPi (📥 62K / month · 📦 10 · ⏱️ 13.10.2024):
pip install u8darts -
Conda (📥 61K · ⏱️ 13.10.2024):
conda install -c conda-forge u8darts-all -
Docker Hub (📥 800 · ⏱️ 17.04.2024):
docker pull unit8/darts
pmdarima (🥈31 · ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT
NeuralProphet (🥈29 · ⭐ 3.9K) - NeuralProphet: A simple forecasting package. MIT
skforecast (🥈29 · ⭐ 1.1K) - Time series forecasting with machine learning models. BSD-3
uber/orbit (🥉23 · ⭐ 1.9K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
Show 11 hidden projects...
- Streamz (🥉27 · ⭐ 1.2K · 💀) - Real-time stream processing for python.
BSD-3 - pyts (🥉26 · ⭐ 1.8K · 💀) - A Python package for time series classification.
BSD-3 - PyFlux (🥉25 · ⭐ 2.1K · 💀) - Open source time series library for Python.
BSD-3 - luminol (🥉22 · ⭐ 1.2K · 💀) - Anomaly Detection and Correlation library.
Apache-2 - tick (🥉22 · ⭐ 490 · 💀) - Module for statistical learning, with a particular emphasis on time-..
BSD-3 - ADTK (🥉21 · ⭐ 1.1K · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in..
MPL-2.0 - seglearn (🥉21 · ⭐ 570 · 💀) - Python module for machine learning time series:.
BSD-3 - matrixprofile-ts (🥉19 · ⭐ 730 · 💀) - A Python library for detecting patterns and anomalies..
Apache-2 - atspy (🥉16 · ⭐ 510 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai).
MIT - tsaug (🥉14 · ⭐ 350 · 💀) - A Python package for time series augmentation.
Apache-2 - tslumen (🥉8 · ⭐ 67 · 💀) - A library for Time Series EDA (exploratory data analysis).
Apache-2
Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats.
MNE (🥇39 · ⭐ 2.7K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
DeepVariant (🥉24 · ⭐ 3.2K · 💤) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3
Brainiak (🥉19 · ⭐ 340) - Brain Imaging Analysis Kit. Apache-2
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GitHub (👨💻 35 · 🔀 130 · 📋 220 - 38% open · ⏱️ 08.07.2024):
git clone https://github.com/brainiak/brainiak -
PyPi (📥 1K / month · ⏱️ 15.10.2020):
pip install brainiak -
Docker Hub (📥 1.9K · ⭐ 1 · ⏱️ 15.10.2020):
docker pull brainiak/brainiak
Show 10 hidden projects...
- DIPY (🥈32 · ⭐ 710) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains..
❗Unlicensed - NIPY (🥉27 · ⭐ 380) - Neuroimaging in Python FMRI analysis package.
❗Unlicensed - NiftyNet (🥉25 · ⭐ 1.4K · 💀) - [unmaintained] An open-source convolutional neural..
Apache-2 - MedPy (🥉25 · ⭐ 580) - Medical image processing in Python.
❗️GPL-3.0 - Glow (🥉22 · ⭐ 270) - An open-source toolkit for large-scale genomic analysis.
Apache-2 - DLTK (🥉21 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis.
Apache-2 - MedicalTorch (🥉16 · ⭐ 850 · 💀) - A medical imaging framework for Pytorch.
Apache-2 - DeepNeuro (🥉15 · ⭐ 120 · 💀) - A deep learning python package for neuroimaging data. Made by:.
MIT - Medical Detection Toolkit (🥉14 · ⭐ 1.3K · 💀) - The Medical Detection Toolkit contains 2D + 3D..
Apache-2 - MedicalNet (🥉12 · ⭐ 1.9K · 💀) - Many studies have shown that the performance on deep learning is..
MIT
Libraries for processing tabular and structured data.
miceforest (🥇24 · ⭐ 350) - Multiple Imputation with LightGBM in Python. MIT
pytorch_tabular (🥈23 · ⭐ 1.4K) - A standard framework for modelling Deep Learning Models.. MIT
upgini (🥉21 · ⭐ 320) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
carefree-learn (🥉18 · ⭐ 400 · 💤) - Deep Learning PyTorch. MIT
Show 1 hidden projects...
Libraries for optical character recognition (OCR) and text extraction from images or videos.
EasyOCR (🥇35 · ⭐ 24K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
OCRmyPDF (🥈34 · ⭐ 14K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
Tesseract (🥈32 · ⭐ 5.8K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
attention-ocr (🥉22 · ⭐ 1.1K · 💤) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT
Show 4 hidden projects...
- calamari (🥉23 · ⭐ 1K) - Line based ATR Engine based on OCRopy.
❗️GPL-3.0 - pdftabextract (🥉21 · ⭐ 2.2K · 💀) - A set of tools for extracting tables from PDF files..
Apache-2 - doc2text (🥉20 · ⭐ 1.3K · 💀) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python..
MIT - Mozart (🥉10 · ⭐ 610 · 💀) - An optical music recognition (OMR) system. Converts sheet..
Apache-2
General-purpose data containers & structures as well as utilities & extensions for pandas.
🔗 best-of-python - Data Containers ( ⭐ 3.7K) - Collection of data-container, dataframe, and pandas-..
Libraries for loading, collecting, and extracting data from a variety of data sources and formats.
🔗 best-of-python - Data Extraction ( ⭐ 3.7K) - Collection of data-loading and -extraction libraries.
Libraries for web scraping, crawling, downloading, and mining as well as libraries.
🔗 best-of-web-python - Web Scraping ( ⭐ 2.3K) - Collection of web-scraping and crawling libraries.
Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.
🔗 best-of-python - Data Pipelines ( ⭐ 3.7K) - Libraries for data batch- and stream-processing,..
Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure.
Ray (🥇45 · ⭐ 34K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2
DeepSpeed (🥇41 · ⭐ 35K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
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GitHub (👨💻 350 · 🔀 4.1K · 📦 9.3K · 📋 2.9K - 37% open · ⏱️ 31.10.2024):
git clone https://github.com/microsoft/DeepSpeed -
PyPi (📥 490K / month · 📦 210 · ⏱️ 22.10.2024):
pip install deepspeed -
Docker Hub (📥 19K · ⭐ 4 · ⏱️ 02.09.2022):
docker pull deepspeed/deepspeed
dask.distributed (🥇40 · ⭐ 1.6K) - A distributed task scheduler for Dask. BSD-3
horovod (🥈35 · ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
H2O-3 (🥈35 · ⭐ 6.9K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
BigDL (🥈34 · ⭐ 6.6K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2
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GitHub (👨💻 110 · 🔀 1.3K · 📥 640 · 📋 2.6K - 38% open · ⏱️ 31.10.2024):
git clone https://github.com/intel-analytics/BigDL -
PyPi (📥 140K / month · 📦 2 · ⏱️ 24.03.2024):
pip install bigdl -
Maven (📦 5 · ⏱️ 20.04.2021):
<dependency> <groupId>com.intel.analytics.bigdl</groupId> <artifactId>bigdl-SPARK_2.4</artifactId> <version>[VERSION]</version> </dependency>
ColossalAI (🥈33 · ⭐ 39K · 📉) - Making large AI models cheaper, faster and more accessible. Apache-2
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GitHub (👨💻 190 · 🔀 4.3K · 📦 430 · 📋 1.7K - 25% open · ⏱️ 31.10.2024):
git clone https://github.com/hpcaitech/colossalai
Apache Singa (🥉24 · ⭐ 3.4K) - a distributed deep learning platform. Apache-2
-
GitHub (👨💻 91 · 🔀 1.2K · 📦 5 · 📋 130 - 37% open · ⏱️ 17.08.2024):
git clone https://github.com/apache/singa -
Conda (📥 800 · ⏱️ 16.06.2023):
conda install -c nusdbsystem singa -
Docker Hub (📥 8.2K · ⭐ 4 · ⏱️ 31.05.2022):
docker pull apache/singa
Hivemind (🥉24 · ⭐ 2K) - Decentralized deep learning in PyTorch. Built to train models on thousands.. MIT
analytics-zoo (🥉23 · ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
Show 16 hidden projects...
- DEAP (🥈33 · ⭐ 5.8K) - Distributed Evolutionary Algorithms in Python.
❗️LGPL-3.0 - ipyparallel (🥈30 · ⭐ 2.6K · 📈) - IPython Parallel: Interactive Parallel Computing in..
❗Unlicensed - TensorFlowOnSpark (🥉27 · ⭐ 3.9K · 💀) - TensorFlowOnSpark brings TensorFlow programs to..
Apache-2 - Elephas (🥉25 · ⭐ 1.6K · 💀) - Distributed Deep learning with Keras & Spark.
MITkeras - BytePS (🥉22 · ⭐ 3.6K · 💀) - A high performance and generic framework for distributed DNN..
Apache-2 - sk-dist (🥉21 · ⭐ 280 · 💀) - Distributed scikit-learn meta-estimators in PySpark.
Apache-2 - somoclu (🥉21 · ⭐ 270 · 💤) - Massively parallel self-organizing maps: accelerate training on..
MIT - launchpad (🥉19 · ⭐ 310 · 💀) - Launchpad is a library that simplifies writing..
Apache-2 - mesh-transformer-jax (🥉18 · ⭐ 6.3K · 💀) - Model parallel transformers in JAX and Haiku.
Apache-2 - Fiber (🥉18 · ⭐ 1K · 💀) - Distributed Computing for AI Made Simple.
Apache-2 - bluefog (🥉18 · ⭐ 290 · 💀) - Distributed and decentralized training framework for PyTorch..
Apache-2 - parallelformers (🥉17 · ⭐ 780 · 💀) - Parallelformers: An Efficient Model Parallelization..
Apache-2 - TensorFrames (🥉16 · ⭐ 720 · 💀) - Tensorflow wrapper for DataFrames on Apache Spark.
Apache-2 - LazyCluster (🥉14 · ⭐ 49 · 💀) - Distributed machine learning made simple.
Apache-2 - autodist (🥉13 · ⭐ 130 · 💀) - Simple Distributed Deep Learning on TensorFlow.
Apache-2 - moolib (🥉11 · ⭐ 370 · 💀) - A library for distributed ML training with PyTorch.
MIT
Libraries for hyperparameter optimization, automl and neural architecture search.
AutoGluon (🥇35 · ⭐ 8K) - Fast and Accurate ML in 3 Lines of Code. Apache-2
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GitHub (👨💻 120 · 🔀 920 · 📦 860 · 📋 1.5K - 25% open · ⏱️ 30.10.2024):
git clone https://github.com/autogluon/autogluon -
PyPi (📥 550K / month · 📦 27 · ⏱️ 31.10.2024):
pip install autogluon -
Conda (📥 21K · ⏱️ 18.10.2024):
conda install -c conda-forge autogluon -
Docker Hub (📥 11K · ⭐ 17 · ⏱️ 07.03.2024):
docker pull autogluon/autogluon
Bayesian Optimization (🥇33 · ⭐ 7.9K) - A Python implementation of global optimization with.. MIT
featuretools (🥇33 · ⭐ 7.3K) - An open source python library for automated feature engineering. BSD-3
NNI (🥈31 · ⭐ 14K · 💤) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
Keras Tuner (🥈31 · ⭐ 2.9K) - A Hyperparameter Tuning Library for Keras. Apache-2
mljar-supervised (🥈30 · ⭐ 3K) - Python package for AutoML on Tabular Data with Feature.. MIT
lazypredict (🥈26 · ⭐ 3K) - Lazy Predict help build a lot of basic models without much code.. MIT
Hyperactive (🥈25 · ⭐ 510) - An optimization and data collection toolbox for convenient and fast.. MIT
Auto ViML (🥉22 · ⭐ 520) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
featurewiz (🥉21 · ⭐ 590) - Use advanced feature engineering strategies and select best.. Apache-2
opytimizer (🥉20 · ⭐ 600) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2
shap-hypetune (🥉18 · ⭐ 560 · 💤) - A python package for simultaneous Hyperparameters Tuning and.. MIT
Show 31 hidden projects...
- scikit-optimize (🥇33 · ⭐ 2.7K · 💀) - Sequential model-based optimization with a..
BSD-3 - TPOT (🥈31 · ⭐ 9.7K · 💤) - A Python Automated Machine Learning tool that optimizes..
❗️LGPL-3.0 - auto-sklearn (🥈31 · ⭐ 7.6K · 💀) - Automated Machine Learning with scikit-learn.
BSD-3 - Hyperas (🥈27 · ⭐ 2.2K · 💀) - Keras + Hyperopt: A very simple wrapper for convenient..
MIT - SMAC3 (🥈26 · ⭐ 1.1K) - SMAC3: A Versatile Bayesian Optimization Package for..
❗️BSD-1-Clause - GPyOpt (🥈26 · ⭐ 930 · 💀) - Gaussian Process Optimization using GPy.
BSD-3 - AdaNet (🥈25 · ⭐ 3.5K · 💀) - Fast and flexible AutoML with learning guarantees.
Apache-2 - auto_ml (🥉24 · ⭐ 1.6K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production.
MIT - lightwood (🥉24 · ⭐ 440) - Lightwood is Legos for Machine Learning.
❗️GPL-3.0 - Orion (🥉23 · ⭐ 280 · 💤) - Asynchronous Distributed Hyperparameter Optimization.
BSD-3 - MLBox (🥉22 · ⭐ 1.5K · 💀) - MLBox is a powerful Automated Machine Learning python library.
❗️BSD-1-Clause - HpBandSter (🥉22 · ⭐ 610 · 💀) - a distributed Hyperband implementation on Steroids.
BSD-3 - igel (🥉21 · ⭐ 3.1K · 💀) - a delightful machine learning tool that allows you to train, test, and..
MIT - Test Tube (🥉21 · ⭐ 740 · 💀) - Python library to easily log experiments and parallelize..
MIT - Neuraxle (🥉21 · ⭐ 610 · 💀) - The worlds cleanest AutoML library - Do hyperparameter tuning..
Apache-2 - optunity (🥉21 · ⭐ 420 · 💀) - optimization routines for hyperparameter tuning.
BSD-3 - sklearn-deap (🥉20 · ⭐ 770 · 💀) - Use evolutionary algorithms instead of gridsearch in..
MIT - Auto Tune Models (🥉20 · ⭐ 530 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for..
MIT - Advisor (🥉19 · ⭐ 1.5K · 💀) - Open-source implementation of Google Vizier for hyper parameters..
Apache-2 - Dragonfly (🥉19 · ⭐ 850 · 💀) - An open source python library for scalable Bayesian optimisation.
MIT - Sherpa (🥉19 · ⭐ 330 · 💀) - Hyperparameter optimization that enables researchers to..
❗️GPL-3.0 - Xcessiv (🥉18 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated..
Apache-2 - HyperparameterHunter (🥉18 · ⭐ 710 · 💀) - Easy hyperparameter optimization and automatic result..
MIT - automl-gs (🥉17 · ⭐ 1.8K · 💀) - Provide an input CSV and a target field to predict, generate a..
MIT - Parfit (🥉15 · ⭐ 200 · 💀) - A package for parallelizing the fit and flexibly scoring of..
MIT - Auptimizer (🥉14 · ⭐ 200 · 💀) - An automatic ML model optimization tool.
❗️GPL-3.0 - ENAS (🥉13 · ⭐ 2.7K · 💀) - PyTorch implementation of Efficient Neural Architecture Search via..
Apache-2 - Hypermax (🥉13 · ⭐ 110 · 💤) - Better, faster hyper-parameter optimization.
BSD-3 - model_search (🥉11 · ⭐ 3.3K · 💀) - AutoML algorithms for model architecture search at scale.
Apache-2 - Devol (🥉11 · ⭐ 950 · 💀) - Genetic neural architecture search with Keras.
MIT - Hypertunity (🥉11 · ⭐ 140 · 💀) - A toolset for black-box hyperparameter optimisation.
Apache-2
Libraries for building and evaluating reinforcement learning & agent-based systems.
TensorForce (🥈27 · ⭐ 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2
PARL (🥉25 · ⭐ 3.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2
rliable (🥉14 · ⭐ 760) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
Show 12 hidden projects...
- OpenAI Gym (🥇41 · ⭐ 35K · 💀) - A toolkit for developing and comparing reinforcement learning..
MIT - baselines (🥇30 · ⭐ 16K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement..
MIT - keras-rl (🥈28 · ⭐ 5.5K · 💀) - Deep Reinforcement Learning for Keras.
MIT - TensorLayer (🥈27 · ⭐ 7.3K · 💀) - Deep Learning and Reinforcement Learning Library for..
Apache-2 - garage (🥉26 · ⭐ 1.9K · 💀) - A toolkit for reproducible reinforcement learning research.
MIT - Stable Baselines (🥉24 · ⭐ 4.2K · 💀) - A fork of OpenAI Baselines, implementations of..
MIT - ChainerRL (🥉24 · ⭐ 1.2K · 💀) - ChainerRL is a deep reinforcement learning library built on top of..
MIT - TRFL (🥉22 · ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning.
Apache-2 - Coach (🥉21 · ⭐ 2.3K · 💀) - Reinforcement Learning Coach by Intel AI Lab enables easy..
Apache-2 - SerpentAI (🥉19 · ⭐ 6.8K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to..
MIT - DeepMind Lab (🥉17 · ⭐ 7.1K · 💀) - A customisable 3D platform for agent-based AI research.
❗Unlicensed - Maze (🥉13 · ⭐ 260 · 💀) - Maze Applied Reinforcement Learning Framework.
❗️Custom
Libraries for building and evaluating recommendation systems.
Recommenders (🥇34 · ⭐ 19K · 📉) - Best Practices on Recommendation Systems. MIT
implicit (🥈30 · ⭐ 3.5K · 💤) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
scikit-surprise (🥈28 · ⭐ 6.4K) - A Python scikit for building and analyzing recommender.. BSD-3
TF Ranking (🥈26 · ⭐ 2.7K · 💤) - Learning to Rank in TensorFlow. Apache-2
TF Recommenders (🥉24 · ⭐ 1.8K) - TensorFlow Recommenders is a library for building.. Apache-2
recmetrics (🥉19 · ⭐ 560 · 💤) - A library of metrics for evaluating recommender systems. MIT
Show 8 hidden projects...
- lightfm (🥈28 · ⭐ 4.8K · 💀) - A Python implementation of LightFM, a hybrid recommendation..
Apache-2 - lkpy (🥉25 · ⭐ 270) - Python recommendation toolkit.
MIT - fastFM (🥉22 · ⭐ 1.1K · 💀) - fastFM: A Library for Factorization Machines.
BSD-3 - tensorrec (🥉21 · ⭐ 1.3K · 💀) - A TensorFlow recommendation algorithm and framework in..
Apache-2 - Case Recommender (🥉19 · ⭐ 480 · 💀) - Case Recommender: A Flexible and Extensible Python..
MIT - Spotlight (🥉18 · ⭐ 3K · 💀) - Deep recommender models using PyTorch.
MIT - OpenRec (🥉17 · ⭐ 410 · 💀) - OpenRec is an open-source and modular library for neural network-..
Apache-2 - Collie (🥉17 · ⭐ 110 · 💀) - A library for preparing, training, and evaluating scalable deep..
BSD-3
Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy.
TensorFlow Privacy (🥈26 · ⭐ 1.9K) - Library for training machine learning models with.. Apache-2
TFEncrypted (🥉25 · ⭐ 1.2K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
Show 1 hidden projects...
- PipelineDP (🥉20 · ⭐ 280) - PipelineDP is a Python framework for applying differentially..
Apache-2
Libraries to organize, track, and visualize machine learning experiments.
wandb client (🥇42 · ⭐ 9.1K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT
Tensorboard (🥇42 · ⭐ 6.7K) - TensorFlows Visualization Toolkit. Apache-2
SageMaker SDK (🥈41 · ⭐ 2.1K) - A library for training and deploying machine learning.. Apache-2
Metaflow (🥈35 · ⭐ 8.2K) - Open Source Platform for developing, scaling and deploying serious.. Apache-2
tensorboardX (🥈34 · ⭐ 7.9K · 💤) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
ClearML (🥈33 · ⭐ 5.7K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2
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GitHub (👨💻 100 · 🔀 650 · 📥 2.9K · 📦 1.4K · 📋 1.1K - 46% open · ⏱️ 31.10.2024):
git clone https://github.com/allegroai/clearml -
PyPi (📥 320K / month · 📦 44 · ⏱️ 27.10.2024):
pip install clearml -
Docker Hub (📥 30K · ⏱️ 05.10.2020):
docker pull allegroai/trains
AzureML SDK (🥈32 · ⭐ 4.1K) - Python notebooks with ML and deep learning examples with Azure.. MIT
Neptune.ai (🥈29 · ⭐ 580) - The experiment tracker for foundation model training. Apache-2
Labml (🥉28 · ⭐ 2K) - Monitor deep learning model training and hardware usage from your mobile phone. MIT
ml-metadata (🥉28 · ⭐ 620 · 📈) - For recording and retrieving metadata associated with ML.. Apache-2
gokart (🥉26 · ⭐ 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT
Show 17 hidden projects...
- Catalyst (🥉28 · ⭐ 3.3K · 💀) - Accelerated deep learning R&D.
Apache-2 - knockknock (🥉26 · ⭐ 2.8K · 💀) - Knock Knock: Get notified when your training ends with only two..
MIT - livelossplot (🥉25 · ⭐ 1.3K · 💀) - Live training loss plot in Jupyter Notebook for Keras,..
MIT - SKLL (🥉25 · ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine..
❗️BSD-1-Clause - Guild AI (🥉24 · ⭐ 870 · 💀) - Experiment tracking, ML developer tools.
Apache-2 - hiddenlayer (🥉22 · ⭐ 1.8K · 💀) - Neural network graphs and training metrics for..
MIT - lore (🥉22 · ⭐ 1.6K · 💀) - Lore makes machine learning approachable for Software Engineers and..
MIT - Studio.ml (🥉22 · ⭐ 380 · 💀) - Studio: Simplify and expedite model building process.
Apache-2 - TensorBoard Logger (🥉21 · ⭐ 630 · 💀) - Log TensorBoard events without touching TensorFlow.
MIT - TensorWatch (🥉20 · ⭐ 3.4K · 💀) - Debugging, monitoring and visualization for Python Machine..
MIT - MXBoard (🥉20 · ⭐ 320 · 💀) - Logging MXNet data for visualization in TensorBoard.
Apache-2 - keepsake (🥉19 · ⭐ 1.6K · 💀) - Version control for machine learning.
Apache-2 - datmo (🥉19 · ⭐ 340 · 💀) - Open source production model management tool for data scientists.
MIT - chitra (🥉17 · ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies..
Apache-2 - steppy (🥉17 · ⭐ 130 · 💀) - Lightweight, Python library for fast and reproducible experimentation.
MIT - ModelChimp (🥉14 · ⭐ 130 · 💀) - Experiment tracking for machine and deep learning projects.
BSD-2 - traintool (🥉10 · ⭐ 12 · 💀) - 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.
huggingface_hub (🥈38 · ⭐ 2.1K) - The official Python client for the Huggingface Hub. Apache-2
Core ML Tools (🥈36 · ⭐ 4.4K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
BentoML (🥈35 · ⭐ 7.1K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2
TorchServe (🥈34 · ⭐ 4.2K) - Serve, optimize and scale PyTorch models in production. Apache-2
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GitHub (👨💻 220 · 🔀 860 · 📥 7K · 📦 740 · 📋 1.7K - 24% open · ⏱️ 23.10.2024):
git clone https://github.com/pytorch/serve -
PyPi (📥 55K / month · 📦 22 · ⏱️ 30.09.2024):
pip install torchserve -
Conda (📥 330K · ⏱️ 30.09.2024):
conda install -c pytorch torchserve -
Docker Hub (📥 1.4M · ⭐ 29 · ⏱️ 30.09.2024):
docker pull pytorch/torchserve
Hummingbird (🥈26 · ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
Show 10 hidden projects...
- m2cgen (🥈26 · ⭐ 2.8K · 💀) - Transform ML models into a native code (Java, C, Python, Go,..
MIT - mmdnn (🥉25 · ⭐ 5.8K · 💀) - MMdnn is a set of tools to help users inter-operate among different deep..
MIT - sklearn-porter (🥉24 · ⭐ 1.3K · 💀) - Transpile trained scikit-learn estimators to C, Java,..
BSD-3 - cortex (🥉23 · ⭐ 8K · 💀) - Production infrastructure for machine learning at scale.
Apache-2 - OMLT (🥉21 · ⭐ 280) - Represent trained machine learning models as Pyomo optimization..
❗Unlicensed - Larq Compute Engine (🥉21 · ⭐ 240) - Highly optimized inference engine for Binarized..
Apache-2 - pytorch2keras (🥉19 · ⭐ 860 · 💀) - PyTorch to Keras model convertor.
MIT - modelkit (🥉17 · ⭐ 160) - Toolkit for developing and maintaining ML models.
MIT - backprop (🥉16 · ⭐ 240 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-..
Apache-2 - ml-ane-transformers (🥉13 · ⭐ 2.5K · 💀) - Reference implementation of the Transformer..
❗Unlicensed
Libraries to visualize, explain, debug, evaluate, and interpret machine learning models.
shap (🥇43 · ⭐ 23K) - A game theoretic approach to explain the output of any machine learning model. MIT
InterpretML (🥇33 · ⭐ 6.3K) - Fit interpretable models. Explain blackbox machine learning. MIT
evaluate (🥇32 · ⭐ 2K) - Evaluate: A library for easily evaluating machine learning models and.. Apache-2
explainerdashboard (🥈29 · ⭐ 2.3K) - Quickly build Explainable AI dashboards that show the inner.. MIT
Model Analysis (🥈29 · ⭐ 1.3K) - Model analysis tools for TensorFlow. Apache-2
LIT (🥈28 · ⭐ 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2
dtreeviz (🥈28 · ⭐ 3K) - A python library for decision tree visualization and model interpretation. MIT
Fairness 360 (🥈26 · ⭐ 2.4K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
responsible-ai-widgets (🥈26 · ⭐ 1.4K) - Responsible AI Toolbox is a suite of tools providing.. MIT
iNNvestigate (🥈26 · ⭐ 1.3K · 💤) - A toolbox to iNNvestigate neural networks predictions!. BSD-2
Explainability 360 (🥉24 · ⭐ 1.6K) - Interpretability and explainability of data and.. Apache-2
What-If Tool (🥉23 · ⭐ 910 · 💤) - Source code/webpage/demos for the What-If Tool. Apache-2
-
GitHub (👨💻 20 · 🔀 170 · 📦 2 · 📋 140 - 61% open · ⏱️ 01.02.2024):
git clone https://github.com/PAIR-code/what-if-tool -
PyPi (📥 9.5K / month · 📦 6 · ⏱️ 12.10.2021):
pip install witwidget -
Conda (📥 2.3M · ⏱️ 16.06.2023):
conda install -c conda-forge tensorboard-plugin-wit -
npm (📥 570 / month · 📦 3 · ⏱️ 12.10.2021):
npm install wit-widget
random-forest-importances (🥉22 · ⭐ 600) - Code to compute permutation and drop-column.. MIT
fairness-indicators (🥉19 · ⭐ 340) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
ExplainX.ai (🥉16 · ⭐ 420) - Explainable AI framework for data scientists. Explain & debug any.. MIT
interpret-text (🥉15 · ⭐ 410 · 💤) - A library that incorporates state-of-the-art explainers.. MIT
Show 24 hidden projects...
- Lime (🥇32 · ⭐ 12K · 💀) - Lime: Explaining the predictions of any machine learning classifier.
BSD-2 - Deep Checks (🥈29 · ⭐ 3.6K · 💤) - Deepchecks: Tests for Continuous Validation of ML Models..
❗️AGPL-3.0 - scikit-plot (🥈29 · ⭐ 2.4K · 💀) - An intuitive library to add plotting functionality to..
MIT - DALEX (🥈28 · ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation.
❗️GPL-3.0 - yellowbrick (🥈27 · ⭐ 4.3K · 💀) - Visual analysis and diagnostic tools to facilitate..
Apache-2 - Lucid (🥈26 · ⭐ 4.7K · 💀) - A collection of infrastructure and tools for research in..
Apache-2 - eli5 (🥈26 · ⭐ 2.8K · 💀) - A library for debugging/inspecting machine learning classifiers and..
MIT - Alibi (🥈26 · ⭐ 2.4K) - Algorithms for explaining machine learning models.
❗️Intel - keras-vis (🥉25 · ⭐ 3K · 💀) - Neural network visualization toolkit for keras.
MIT - checklist (🥉24 · ⭐ 2K · 💀) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList.
MIT - tf-explain (🥉22 · ⭐ 1K · 💀) - Interpretability Methods for tf.keras models with Tensorflow..
MIT - deeplift (🥉22 · ⭐ 820 · 💀) - Public facing deeplift repo.
MIT - TreeInterpreter (🥉21 · ⭐ 740 · 💀) - Package for interpreting scikit-learns decision tree..
BSD-3 - Quantus (🥉21 · ⭐ 550) - Quantus is an eXplainable AI toolkit for responsible evaluation of..
❗️GPL-3.0 - XAI (🥉19 · ⭐ 1.1K · 💀) - XAI - An eXplainability toolbox for machine learning.
MIT - tcav (🥉19 · ⭐ 630 · 💀) - Code for the TCAV ML interpretability project.
Apache-2 - sklearn-evaluation (🥉19 · ⭐ 460 · 💀) - Machine learning model evaluation made easy: plots,..
MIT - model-card-toolkit (🥉18 · ⭐ 420 · 💀) - A toolkit that streamlines and automates the..
Apache-2 - Anchor (🥉16 · ⭐ 800 · 💀) - Code for High-Precision Model-Agnostic Explanations paper.
BSD-2 - FlashTorch (🥉16 · ⭐ 730 · 💀) - Visualization toolkit for neural networks in PyTorch! Demo --.
MIT - Skater (🥉14 · ⭐ 1.1K · 💀) - Python Library for Model Interpretation/Explanations.
❗️UPL-1.0 - Attribution Priors (🥉14 · ⭐ 120 · 💀) - Tools for training explainable models using..
MIT - bias-detector (🥉14 · ⭐ 44 · 💤) - Bias Detector is a python package for detecting bias in machine..
MIT - contextual-ai (🥉13 · ⭐ 86 · 💀) - Contextual AI adds explainability to different stages of..
Apache-2
Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search.
🔗 ANN Benchmarks ( ⭐ 4.9K) - Benchmarks of approximate nearest neighbor libraries in Python.
Faiss (🥇41 · ⭐ 31K) - A library for efficient similarity search and clustering of dense vectors. MIT
Milvus (🥇41 · ⭐ 30K) - A cloud-native vector database, storage for next generation AI.. Apache-2
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GitHub (👨💻 290 · 🔀 2.9K · 📥 280K · 📋 12K - 6% open · ⏱️ 31.10.2024):
git clone https://github.com/milvus-io/milvus -
PyPi (📥 1M / month · 📦 180 · ⏱️ 29.10.2024):
pip install pymilvus -
Docker Hub (📥 67M · ⭐ 64 · ⏱️ 31.10.2024):
docker pull milvusdb/milvus
Annoy (🥈35 · ⭐ 13K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2
hnswlib (🥈32 · ⭐ 4.3K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2
NMSLIB (🥈32 · ⭐ 3.4K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
USearch (🥉30 · ⭐ 2.2K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2
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GitHub (👨💻 54 · 🔀 130 · 📥 30K · 📦 130 · 📋 160 - 32% open · ⏱️ 29.10.2024):
git clone https://github.com/unum-cloud/usearch -
PyPi (📥 190K / month · 📦 21 · ⏱️ 29.10.2024):
pip install usearch -
npm (📥 9.2K / month · 📦 14 · ⏱️ 29.10.2024):
npm install usearch -
Docker Hub (📥 130 · ⭐ 1 · ⏱️ 29.10.2024):
docker pull unum/usearch
PyNNDescent (🥉28 · ⭐ 880) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
Show 4 hidden projects...
- Magnitude (🥉20 · ⭐ 1.6K · 💀) - A fast, efficient universal vector embedding utility package.
MIT - NearPy (🥉20 · ⭐ 760 · 💀) - Python framework for fast (approximated) nearest neighbour search in..
MIT - N2 (🥉20 · ⭐ 570 · 💀) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs..
Apache-2 - PySparNN (🥉11 · ⭐ 920 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!.
BSD-3
Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics.
tensorflow-probability (🥇36 · ⭐ 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2
SALib (🥈31 · ⭐ 880) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT
PyStan (🥉28 · ⭐ 340) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC
pomegranate (🥉27 · ⭐ 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
scikit-posthocs (🥉26 · ⭐ 350) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT
Orbit (🥉23 · ⭐ 1.9K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2
Baal (🥉22 · ⭐ 860) - Bayesian active learning library for research and industrial usecases. Apache-2
Show 6 hidden projects...
- filterpy (🥈31 · ⭐ 3.3K · 💀) - Python Kalman filtering and optimal estimation library. Implements..
MIT - pingouin (🥉30 · ⭐ 1.6K) - Statistical package in Python based on Pandas.
❗️GPL-3.0 - Edward (🥉28 · ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep..
Apache-2 - pyhsmm (🥉21 · ⭐ 550 · 💀) - Bayesian inference in HSMMs and HMMs.
MIT - Funsor (🥉20 · ⭐ 240 · 💀) - Functional tensors for probabilistic programming.
Apache-2 - ZhuSuan (🥉15 · ⭐ 2.2K · 💀) - A probabilistic programming library for Bayesian deep learning,..
MIT
Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples.
ART (🥇35 · ⭐ 4.8K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
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GitHub (👨💻 140 · 🔀 1.2K · 📦 600 · 📋 900 - 15% open · ⏱️ 22.10.2024):
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox -
PyPi (📥 93K / month · 📦 20 · ⏱️ 02.10.2024):
pip install adversarial-robustness-toolbox -
Conda (📥 52K · ⏱️ 03.10.2024):
conda install -c conda-forge adversarial-robustness-toolbox
TextAttack (🥈27 · ⭐ 3K) - TextAttack is a Python framework for adversarial attacks, data.. MIT
Show 6 hidden projects...
- CleverHans (🥈29 · ⭐ 6.2K · 💀) - An adversarial example library for constructing attacks,..
MIT - advertorch (🥉23 · ⭐ 1.3K · 💀) - A Toolbox for Adversarial Robustness Research.
❗️GPL-3.0 - AdvBox (🥉21 · ⭐ 1.4K · 💀) - Advbox is a toolbox to generate adversarial examples that fool..
Apache-2 - robustness (🥉20 · ⭐ 920 · 💀) - A library for experimenting with, training and evaluating neural..
MIT - textflint (🥉17 · ⭐ 640 · 💀) - Unified Multilingual Robustness Evaluation Toolkit for..
❗️GPL-3.0 - Adversary (🥉16 · ⭐ 400 · 💀) - Tool to generate adversarial text examples and test machine..
MIT
Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks.
CuPy (🥇39 · ⭐ 9.4K) - NumPy & SciPy for GPU. MIT
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GitHub (👨💻 390 · 🔀 820 · 📥 190K · 📦 2.3K · 📋 2.4K - 26% open · ⏱️ 31.10.2024):
git clone https://github.com/cupy/cupy -
PyPi (📥 50K / month · 📦 270 · ⏱️ 22.08.2024):
pip install cupy -
Conda (📥 4.9M · ⏱️ 18.10.2024):
conda install -c conda-forge cupy -
Docker Hub (📥 69K · ⭐ 13 · ⏱️ 22.08.2024):
docker pull cupy/cupy
optimum (🥇36 · ⭐ 2.5K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2
gpustat (🥈30 · ⭐ 4.1K · 💤) - A simple command-line utility for querying and monitoring GPU status. MIT
DALI (🥉25 · ⭐ 5.1K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
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GitHub (👨💻 94 · 🔀 620 · 📋 1.6K - 14% open · ⏱️ 31.10.2024):
git clone https://github.com/NVIDIA/DALI
scikit-cuda (🥉24 · ⭐ 990 · 💤) - Python interface to GPU-powered libraries. BSD-3
Vulkan Kompute (🥉23 · ⭐ 2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
Show 7 hidden projects...
- GPUtil (🥉25 · ⭐ 1.1K · 💀) - A Python module for getting the GPU status from NVIDA GPUs using..
MIT - py3nvml (🥉22 · ⭐ 240 · 💀) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside..
BSD-3 - BlazingSQL (🥉20 · ⭐ 1.9K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for..
Apache-2 - nvidia-ml-py3 (🥉18 · ⭐ 130) - Python 3 Bindings for the NVIDIA Management Library.
BSD-3 - ipyexperiments (🥉17 · ⭐ 200 · 💤) - Automatic GPU+CPU memory profiling, re-use and memory..
Apache-2 - cuSignal (🥉16 · ⭐ 710 · 💀) - GPU accelerated signal processing.
Apache-2 - SpeedTorch (🥉16 · ⭐ 680 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch.
MIT
Libraries that extend TensorFlow with additional capabilities.
TensorFlow Datasets (🥇39 · ⭐ 4.3K) - TFDS is a collection of datasets ready to use with.. Apache-2
tensorflow-hub (🥈32 · ⭐ 3.5K) - A library for transfer learning by reusing parts of.. Apache-2
TensorFlow I/O (🥈30 · ⭐ 700) - Dataset, streaming, and file system extensions.. Apache-2
TF Model Optimization (🥈28 · ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2
TensorFlow Transform (🥈28 · ⭐ 980) - Input pipeline framework. Apache-2
Neural Structured Learning (🥉24 · ⭐ 980) - Training neural models with structured signals. Apache-2
TF Compression (🥉22 · ⭐ 860) - Data compression in TensorFlow. Apache-2
TensorFlow Cloud (🥉21 · ⭐ 380 · 💤) - The TensorFlow Cloud repository provides APIs that.. Apache-2
Show 5 hidden projects...
- tensor2tensor (🥈33 · ⭐ 15K · 💀) - Library of deep learning models and datasets designed..
Apache-2 - Keras-Preprocessing (🥈28 · ⭐ 1K · 💀) - Utilities for working with image data, text data, and..
MIT - efficientnet (🥉26 · ⭐ 2.1K · 💀) - Implementation of EfficientNet model. Keras and..
Apache-2 - TensorNets (🥉21 · ⭐ 1K · 💀) - High level network definitions with pre-trained weights in..
MIT - tffm (🥉19 · ⭐ 780 · 💀) - TensorFlow implementation of an arbitrary order Factorization Machine.
MIT
Libraries that extend Jax with additional capabilities.
Show 1 hidden projects...
- jaxdf (🥉13 · ⭐ 120) - A JAX-based research framework for writing differentiable..
❗️LGPL-3.0
Libraries that extend scikit-learn with additional capabilities.
scikit-learn-intelex (🥇35 · ⭐ 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2
imbalanced-learn (🥇33 · ⭐ 6.8K) - A Python Package to Tackle the Curse of Imbalanced.. MIT
category_encoders (🥈32 · ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3
scikit-lego (🥈27 · ⭐ 1.3K) - Extra blocks for scikit-learn pipelines. MIT
scikit-opt (🥉25 · ⭐ 5.3K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
iterative-stratification (🥉23 · ⭐ 850) - scikit-learn cross validators for iterative.. BSD-3
scikit-tda (🥉19 · ⭐ 530) - Topological Data Analysis for Python. MIT
Show 9 hidden projects...
- scikit-survival (🥈31 · ⭐ 1.1K) - Survival analysis built on top of scikit-learn.
❗️GPL-3.0 - fancyimpute (🥈27 · ⭐ 1.2K · 💀) - Multivariate imputation and matrix completion..
Apache-2 - scikit-multilearn (🥈27 · ⭐ 920 · 💀) - A scikit-learn based module for multi-label et. al...
BSD-2 - sklearn-crfsuite (🥈27 · ⭐ 430 · 💀) - scikit-learn inspired API for CRFsuite.
MIT - sklearn-contrib-lightning (🥉22 · ⭐ 1.7K · 💀) - Large-scale linear classification, regression and..
BSD-3 - combo (🥉21 · ⭐ 640 · 💀) - (AAAI 20) A Python Toolbox for Machine Learning Model..
BSD-2xgboost - skope-rules (🥉21 · ⭐ 620 · 💀) - machine learning with logical rules in Python.
❗️BSD-1-Clause - celer (🥉21 · ⭐ 200 · 📈) - Fast solver for L1-type problems: Lasso, sparse Logisitic..
BSD-3 - skggm (🥉18 · ⭐ 240 · 💀) - Scikit-learn compatible estimation of general graphical models.
MIT
Libraries that extend Pytorch with additional capabilities.
accelerate (🥇40 · ⭐ 7.9K) - A simple way to launch, train, and use PyTorch models on.. Apache-2
tinygrad (🥇33 · ⭐ 27K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
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GitHub (👨💻 350 · 🔀 2.9K · 📦 120 · 📋 780 - 15% open · ⏱️ 31.10.2024):
git clone https://github.com/geohot/tinygrad
PML (🥇32 · ⭐ 6K) - The easiest way to use deep metric learning in your application. Modular,.. MIT
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GitHub (👨💻 42 · 🔀 660 · 📦 2K · 📋 510 - 12% open · ⏱️ 11.09.2024):
git clone https://github.com/KevinMusgrave/pytorch-metric-learning -
PyPi (📥 760K / month · 📦 50 · ⏱️ 25.07.2024):
pip install pytorch-metric-learning -
Conda (📥 12K · ⏱️ 16.06.2023):
conda install -c metric-learning pytorch-metric-learning
torchdiffeq (🥇31 · ⭐ 5.6K · 💤) - Differentiable ODE solvers with full GPU support and.. MIT
lightning-flash (🥈27 · ⭐ 1.7K · 💤) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2
EfficientNets (🥈25 · ⭐ 1.6K) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2
torch-scatter (🥈25 · ⭐ 1.6K) - PyTorch Extension Library of Optimized Scatter Operations. MIT
Pytorch Toolbelt (🥉24 · ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT
PyTorch Sparse (🥉23 · ⭐ 1K) - PyTorch Extension Library of Optimized Autograd Sparse Matrix.. MIT
Show 23 hidden projects...
- pretrainedmodels (🥈29 · ⭐ 9K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,..
BSD-3 - torchsde (🥈29 · ⭐ 1.6K · 💀) - Differentiable SDE solvers with GPU support and efficient..
Apache-2 - EfficientNet-PyTorch (🥈27 · ⭐ 7.9K · 💀) - A PyTorch implementation of EfficientNet.
Apache-2 - pytorch-summary (🥈27 · ⭐ 4K · 💀) - Model summary in PyTorch similar to
model.summary()in..MIT - pytorch-optimizer (🥈26 · ⭐ 3K · 💀) - torch-optimizer -- collection of optimizers for..
Apache-2 - TabNet (🥈26 · ⭐ 2.6K · 💀) - PyTorch implementation of TabNet paper :..
MIT - Higher (🥉24 · ⭐ 1.6K · 💀) - higher is a pytorch library allowing users to obtain higher..
Apache-2 - micrograd (🥉23 · ⭐ 10K · 💀) - A tiny scalar-valued autograd engine and a neural net library..
MIT - SRU (🥉23 · ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).
MIT - Torchmeta (🥉23 · ⭐ 2K · 💀) - A collection of extensions and data-loaders for few-shot..
MIT - AdaBound (🥉21 · ⭐ 2.9K · 💀) - An optimizer that trains as fast as Adam and as good as SGD.
Apache-2 - reformer-pytorch (🥉21 · ⭐ 2.1K · 💀) - Reformer, the efficient Transformer, in Pytorch.
MIT - Antialiased CNNs (🥉21 · ⭐ 1.7K · 💀) - pip install antialiased-cnns to improve stability and..
❗️CC BY-NC-SA 4.0 - Poutyne (🥉21 · ⭐ 570) - A simplified framework and utilities for PyTorch.
❗️LGPL-3.0 - Lambda Networks (🥉20 · ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to..
MIT - pytorchviz (🥉19 · ⭐ 3.2K · 💀) - A small package to create visualizations of PyTorch execution..
MIT - Performer Pytorch (🥉19 · ⭐ 1.1K · 💀) - An implementation of Performer, a linear attention-..
MIT - Tez (🥉18 · ⭐ 1.2K · 💀) - Tez is a super-simple and lightweight Trainer for PyTorch. It..
Apache-2 - Torch-Struct (🥉18 · ⭐ 1.1K · 💀) - Fast, general, and tested differentiable structured..
MIT - Tensor Sensor (🥉18 · ⭐ 790 · 💀) - The goal of this library is to generate more helpful..
MIT - Pywick (🥉17 · ⭐ 400 · 💀) - High-level batteries-included neural network training library for..
MIT - madgrad (🥉16 · ⭐ 800 · 💀) - MADGRAD Optimization Method.
MIT - TorchDrift (🥉15 · ⭐ 310 · 💀) - Drift Detection for your PyTorch Models.
Apache-2
Libraries for connecting to, operating, and querying databases.
🔗 best-of-python - DB Clients ( ⭐ 3.7K) - Collection of database clients for python.
scipy (🥇50 · ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
PyOD (🥈34 · ⭐ 8.6K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2
anomalib (🥈31 · ⭐ 3.8K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
avalanche (🥈29 · ⭐ 1.8K · 📈) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT
TabPy (🥈29 · ⭐ 1.6K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
adapter-transformers (🥉27 · ⭐ 2.6K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface
pyclustering (🥉27 · ⭐ 1.2K · 💤) - pyclustering is a Python, C++ data mining library. BSD-3
Feature Engine (🥉26 · ⭐ 1.8K) - Feature engineering package with sklearn like functionality. BSD-3
metric-learn (🥉25 · ⭐ 1.4K) - Metric learning algorithms in Python. MIT
MONAILabel (🥉24 · ⭐ 600) - MONAI Label is an intelligent open source image labeling and.. Apache-2
benchmark_VAE (🥉21 · ⭐ 1.8K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2
pymdp (🥉20 · ⭐ 460) - A Python implementation of active inference for Markov Decision Processes. MIT
NeuralCompression (🥉16 · ⭐ 500) - A collection of tools for neural compression enthusiasts. MIT
Show 24 hidden projects...
- cleanlab (🥈31 · ⭐ 9.7K) - The standard data-centric AI package for data quality and machine..
❗️AGPL-3.0 - Cython BLIS (🥈30 · ⭐ 220) - Fast matrix-multiplication as a self-contained Python library no..
BSD-3 - pysc2 (🥉28 · ⭐ 8K · 💀) - StarCraft II Learning Environment.
Apache-2 - alibi-detect (🥉28 · ⭐ 2.2K) - Algorithms for outlier, adversarial and drift detection.
❗️Intel - modAL (🥉28 · ⭐ 2.2K · 💀) - A modular active learning framework for Python.
MIT - minisom (🥉28 · ⭐ 1.4K) - MiniSom is a minimalistic implementation of the Self Organizing..
❗️CC-BY-3.0 - PySwarms (🥉28 · ⭐ 1.3K · 💀) - A research toolkit for particle swarm optimization in Python.
MIT - gplearn (🥉26 · ⭐ 1.6K · 💀) - Genetic Programming in Python, with a scikit-learn inspired API.
BSD-3 - metricflow (🥉26 · ⭐ 1.1K) - MetricFlow allows you to define, build, and maintain metrics..
❗Unlicensed - findspark (🥉24 · ⭐ 510 · 💀) - Find pyspark to make it importable.
BSD-3 - vecstack (🥉23 · ⭐ 680 · 💀) - Python package for stacking (machine learning technique).
MIT - pandas-ai (🥉22 · ⭐ 13K) - Chat with your database (SQL, CSV, pandas, polars, mongodb,..
❗Unlicensed - opyrator (🥉22 · ⭐ 3.1K · 💀) - Turns your machine learning code into microservices with web API,..
MIT - mlens (🥉22 · ⭐ 850 · 💀) - ML-Ensemble high performance ensemble learning.
MIT - apricot (🥉22 · ⭐ 500 · 💀) - apricot implements submodular optimization for the purpose of..
MIT - impyute (🥉21 · ⭐ 350 · 💀) - Data imputations library to preprocess datasets with missing data.
MIT - StreamAlert (🥉20 · ⭐ 2.9K · 💀) - StreamAlert is a serverless, realtime data analysis..
Apache-2 - rrcf (🥉20 · ⭐ 500 · 💀) - Implementation of the Robust Random Cut Forest algorithm for anomaly..
MIT - baikal (🥉19 · ⭐ 590 · 💀) - A graph-based functional API for building complex scikit-learn..
BSD-3 - scikit-rebate (🥉19 · ⭐ 410 · 💀) - A scikit-learn-compatible Python implementation of..
MIT - KD-Lib (🥉16 · ⭐ 600 · 💀) - A Pytorch Knowledge Distillation library for benchmarking and..
MIT - pandas-ml (🥉16 · ⭐ 320 · 💀) - pandas, scikit-learn, xgboost and seaborn integration.
BSD-3 - nylon (🥉14 · ⭐ 83 · 💀) - An intelligent, flexible grammar of machine learning.
MIT - traingenerator (🥉13 · ⭐ 1.4K · 💀) - A web app to generate template code for 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:
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