🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
This curated list contains 910 awesome open-source projects with a total of 3.5M 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 58 projects
- Data Visualization 54 projects
- Text Data & NLP 100 projects
- Image Data 64 projects
- Graph Data 36 projects
- Audio Data 29 projects
- Geospatial Data 22 projects
- Financial Data 25 projects
- Time Series Data 28 projects
- Medical Data 20 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 39 projects
- Model Serialization & Deployment 20 projects
- Model Interpretability 54 projects
- Vector Similarity Search (ANN) 12 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 65 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 · ⭐ 170K) - An Open Source Machine Learning Framework for Everyone. Apache-2

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GitHub (👨💻 4.2K · 🔀 87K · 📦 230K · 📋 36K - 6% open · ⏱️ 01.12.2022):
git clone https://github.com/tensorflow/tensorflow
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PyPi (📥 15M / month · 📦 14K · ⏱️ 18.11.2022):
pip install tensorflow
-
Conda (📥 3.8M · ⏱️ 25.09.2022):
conda install -c conda-forge tensorflow
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Docker Hub (📥 70M · ⭐ 2.1K · ⏱️ 01.12.2022):
docker pull tensorflow/tensorflow
scikit-learn (🥇52 · ⭐ 52K) - scikit-learn: machine learning in Python. BSD-3

XGBoost (🥇44 · ⭐ 24K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
StatsModels (🥇44 · ⭐ 8K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
LightGBM (🥈43 · ⭐ 14K · 📈) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. MIT
PaddlePaddle (🥈42 · ⭐ 19K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2

pytorch-lightning (🥈40 · ⭐ 21K) - Build and train PyTorch models and connect them to.. Apache-2

Catboost (🥈40 · ⭐ 6.8K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
Jina (🥈39 · ⭐ 17K) - The most advanced MLOps platform for multimodal AI on the cloud Neural.. Apache-2
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GitHub (👨💻 160 · 🔀 2K · 📦 400 · 📋 1.7K - 1% open · ⏱️ 30.11.2022):
git clone https://github.com/jina-ai/jina
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PyPi (📥 71K / month · 📦 2 · ⏱️ 06.07.2022):
pip install jina
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Conda (📥 32K · ⏱️ 16.08.2022):
conda install -c conda-forge jina-core
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Docker Hub (📥 1.2M · ⭐ 7 · ⏱️ 30.11.2022):
docker pull jinaai/jina
Thinc (🥈36 · ⭐ 2.6K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
Vowpal Wabbit (🥈35 · ⭐ 8.1K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
tensorflow-upstream (🥉33 · ⭐ 620) - TensorFlow ROCm port. Apache-2

tensorpack (🥉32 · ⭐ 6.2K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2

Neural Network Libraries (🥉30 · ⭐ 2.6K) - Neural Network Libraries. Apache-2
Neural Tangents (🥉27 · ⭐ 1.9K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
mace (🥉22 · ⭐ 4.7K · 💤) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
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GitHub (👨💻 64 · 🔀 810 · 📥 1.4K · 📋 670 - 8% open · ⏱️ 30.05.2022):
git clone https://github.com/XiaoMi/mace
ThunderSVM (🥉20 · ⭐ 1.4K · 💤) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
ThunderGBM (🥉16 · ⭐ 650) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
Show 12 hidden projects...
- dlib (🥈38 · ⭐ 12K) - A toolkit for making real world machine learning and data analysis..
❗️BSL-1.0
- Theano (🥈37 · ⭐ 9.6K · 💀) - Theano was a Python library that allows you to define, optimize, and..
BSD-3
- MindsDB (🥈34 · ⭐ 12K) - In-Database Machine Learning.
❗️GPL-3.0
- Turi Create (🥉33 · ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine..
BSD-3
- TFlearn (🥉32 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow.
MIT
- NuPIC (🥉28 · ⭐ 6.3K · 💀) - Numenta Platform for Intelligent Computing is an implementation..
❗️AGPL-3.0
- Lasagne (🥉28 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano.
MIT
- SHOGUN (🥉26 · ⭐ 2.9K · 💀) - Unified and efficient Machine Learning.
BSD-3
- NeuPy (🥉25 · ⭐ 730 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building..
MIT
- neon (🥉22 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best..
Apache-2
- Torchbearer (🥉21 · ⭐ 630 · 💀) - torchbearer: A model fitting library for PyTorch.
MIT
- StarSpace (🥉16 · ⭐ 3.8K · 💀) - Learning embeddings for classification, retrieval and ranking.
MIT
General-purpose and task-specific data visualization libraries.
Matplotlib (🥇49 · ⭐ 16K) - matplotlib: plotting with Python. Python-2.0
Plotly (🥇41 · ⭐ 13K) - The interactive graphing library for Python (includes Plotly Express). MIT
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GitHub (👨💻 200 · 🔀 2.2K · 📦 13 · 📋 2.5K - 51% open · ⏱️ 27.10.2022):
git clone https://github.com/plotly/plotly.py
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PyPi (📥 8.5M / month · 📦 4.1K · ⏱️ 24.06.2022):
pip install plotly
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Conda (📥 3.4M · ⏱️ 29.10.2022):
conda install -c conda-forge plotly
-
npm (📥 44K / month · 📦 4 · ⏱️ 12.01.2021):
npm install plotlywidget
dash (🥇40 · ⭐ 18K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required. MIT
pandas-profiling (🥇39 · ⭐ 9.9K) - Create HTML profiling reports from pandas DataFrame.. MIT


HoloViews (🥈35 · ⭐ 2.3K) - With Holoviews, your data visualizes itself. BSD-3

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GitHub (👨💻 130 · 🔀 360 · 📋 2.9K - 32% open · ⏱️ 30.11.2022):
git clone https://github.com/holoviz/holoviews
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PyPi (📥 510K / month · 📦 220 · ⏱️ 07.07.2022):
pip install holoviews
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Conda (📥 990K · ⏱️ 04.11.2022):
conda install -c conda-forge holoviews
-
npm (📥 1.1K / month · ⏱️ 24.05.2020):
npm install @pyviz/jupyterlab_pyviz
datashader (🥈32 · ⭐ 2.9K) - Quickly and accurately render even the largest data. BSD-3
D-Tale (🥈30 · ⭐ 3.7K) - Visualizer for pandas data structures. ❗️LGPL-2.1


bqplot (🥈30 · ⭐ 3.4K) - Plotting library for IPython/Jupyter notebooks. Apache-2

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GitHub (👨💻 59 · 🔀 470 · 📦 35 · 📋 600 - 39% open · ⏱️ 29.09.2022):
git clone https://github.com/bqplot/bqplot
-
PyPi (📥 130K / month · 📦 97 · ⏱️ 11.02.2022):
pip install bqplot
-
Conda (📥 1.1M · ⏱️ 02.09.2022):
conda install -c conda-forge bqplot
-
npm (📥 4.6K / month · 📦 11 · ⏱️ 02.09.2022):
npm install bqplot
hvPlot (🥈30 · ⭐ 680) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
Perspective (🥉29 · ⭐ 5K) - A data visualization and analytics component, especially.. Apache-2

-
GitHub (👨💻 72 · 🔀 550 · 📦 6 · 📋 580 - 16% open · ⏱️ 30.11.2022):
git clone https://github.com/finos/perspective
-
PyPi (📥 2K / month · 📦 9 · ⏱️ 06.06.2022):
pip install perspective-python
-
Conda (📥 220K · ⏱️ 09.10.2022):
conda install -c conda-forge perspective
-
npm (📥 700 / month · ⏱️ 25.11.2022):
npm install @finos/perspective-jupyterlab
pythreejs (🥉29 · ⭐ 840) - A Jupyter - Three.js bridge. BSD-3

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GitHub (👨💻 30 · 🔀 180 · 📦 21 · 📋 220 - 25% open · ⏱️ 25.08.2022):
git clone https://github.com/jupyter-widgets/pythreejs
-
PyPi (📥 66K / month · 📦 42 · ⏱️ 26.02.2021):
pip install pythreejs
-
Conda (📥 440K · ⏱️ 06.09.2022):
conda install -c conda-forge pythreejs
-
npm (📥 4.5K / month · 📦 7 · ⏱️ 24.08.2022):
npm install jupyter-threejs
data-validation (🥉29 · ⭐ 680) - Library for exploring and validating machine learning.. Apache-2


mpld3 (🥉27 · ⭐ 2.2K) - D3 Renderings of Matplotlib Graphics. BSD-3
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GitHub (👨💻 51 · 🔀 350 · 📦 31 · 📋 360 - 59% open · ⏱️ 03.08.2022):
git clone https://github.com/mpld3/mpld3
-
PyPi (📥 260K / month · 📦 400 · ⏱️ 27.05.2022):
pip install mpld3
-
Conda (📥 160K · ⏱️ 27.05.2022):
conda install -c conda-forge mpld3
-
npm (📥 380 / month · 📦 4 · ⏱️ 27.05.2022):
npm install mpld3
AutoViz (🥉27 · ⭐ 1K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
Chartify (🥉26 · ⭐ 3.2K) - Python library that makes it easy for data scientists to create.. Apache-2
HyperTools (🥉25 · ⭐ 1.8K · 💤) - A Python toolbox for gaining geometric insights into high-.. MIT
Sweetviz (🥉22 · ⭐ 2.2K) - Visualize and compare datasets, target values and associations, with one.. MIT
Pandas-Bokeh (🥉22 · ⭐ 820 · 💤) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT

python-ternary (🥉22 · ⭐ 610) - Ternary plotting library for python with matplotlib. MIT
Plotly-Resampler (🥉21 · ⭐ 580) - Visualize large time series data with plotly.py. MIT
Show 14 hidden projects...
- cartopy (🥈32 · ⭐ 1.1K) - Cartopy - a cartographic python library with matplotlib support.
❗️LGPL-3.0
- Cufflinks (🥉29 · ⭐ 2.7K · 💀) - Productivity Tools for Plotly + Pandas.
MIT
- Facets Overview (🥉28 · ⭐ 7K · 💀) - Visualizations for machine learning datasets.
Apache-2
- Multicore-TSNE (🥉24 · ⭐ 1.7K · 💀) - Parallel t-SNE implementation with Python and Torch..
BSD-3
- PandasGUI (🥉23 · ⭐ 2.8K · 💤) - A GUI for Pandas DataFrames.
❗️MIT-0
- PDPbox (🥉23 · ⭐ 710 · 💀) - python partial dependence plot toolbox.
MIT
- pivottablejs (🥉22 · ⭐ 500 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython..
MIT
- ivis (🥉19 · ⭐ 280) - Dimensionality reduction in very large datasets using Siamese..
Apache-2
- animatplot (🥉17 · ⭐ 400 · 💀) - A python package for animating plots build on matplotlib.
MIT
- pdvega (🥉17 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite.
MIT
- data-describe (🥉17 · ⭐ 290 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science.
Apache-2
- vegafusion (🥉17 · ⭐ 120) - Serverside acceleration for the Vega visualization grammar.
❗️AGPL-3.0
- nx-altair (🥉15 · ⭐ 200 · 💀) - Draw interactive NetworkX graphs with Altair.
MIT
- nptsne (🥉12 · ⭐ 29 · 💀) - 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 (🥇50 · ⭐ 75K) - Transformers: State-of-the-art Machine Learning for.. Apache-2


nltk (🥇43 · ⭐ 11K · 📉) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
gensim (🥇39 · ⭐ 14K) - Topic Modelling for Humans. ❗️LGPL-2.1
flair (🥇38 · ⭐ 12K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT

sentence-transformers (🥇36 · ⭐ 8.9K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2

sentencepiece (🥈35 · ⭐ 6.3K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
Tokenizers (🥈33 · ⭐ 6.1K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
TensorFlow Text (🥈33 · ⭐ 1K) - Making text a first-class citizen in TensorFlow. Apache-2

snowballstemmer (🥈32 · ⭐ 600) - Snowball compiler and stemming algorithms. BSD-3
haystack (🥈31 · ⭐ 6.1K) - Haystack is an open source NLP framework that leverages pre-trained.. Apache-2
DeepPavlov (🥈31 · ⭐ 5.9K) - An open source library for deep learning end-to-end dialog.. Apache-2

SciSpacy (🥈30 · ⭐ 1.3K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
TextDistance (🥈29 · ⭐ 3K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
vaderSentiment (🥈28 · ⭐ 3.8K · 💤) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
fastNLP (🥈28 · ⭐ 2.8K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2
PyTextRank (🥈28 · ⭐ 1.9K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
spacy-transformers (🥈28 · ⭐ 1.2K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT
spacy
Ciphey (🥉27 · ⭐ 11K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT
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GitHub (👨💻 46 · 🔀 680 · 📋 300 - 16% open · ⏱️ 28.06.2022):
git clone https://github.com/Ciphey/Ciphey
-
PyPi (📥 27K / month · ⏱️ 06.06.2021):
pip install ciphey
-
Docker Hub (📥 17K · ⭐ 9 · ⏱️ 27.05.2022):
docker pull remnux/ciphey
english-words (🥉27 · ⭐ 8.4K) - A text file containing 479k English words for all your.. Unlicense
scattertext (🥉26 · ⭐ 2K) - Beautiful visualizations of how language differs among document.. Apache-2
rubrix (🥉25 · ⭐ 1.4K) - Open-source tool for data-centric NLP. Argilla helps domain experts.. Apache-2
lightseq (🥉24 · ⭐ 2.5K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2
OpenPrompt (🥉24 · ⭐ 2.1K) - An Open-Source Framework for Prompt-Learning. Apache-2
promptsource (🥉24 · ⭐ 910) - Toolkit for creating, sharing and using natural language.. Apache-2
gpt-2-simple (🥉23 · ⭐ 3.1K · 💤) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT

qdrant (🥉22 · ⭐ 3.2K) - Qdrant - Vector Search Engine for the next generation of AI.. Apache-2
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GitHub (👨💻 28 · 🔀 140 · 📋 340 - 7% open · ⏱️ 25.11.2022):
git clone https://github.com/qdrant/qdrant
Texthero (🥉22 · ⭐ 2.6K) - Text preprocessing, representation and visualization from zero to hero. MIT
small-text (🥉21 · ⭐ 370) - Active Learning for Text Classification in Python. MIT


happy-transformer (🥉21 · ⭐ 360) - A package built on top of Hugging Faces transformers.. Apache-2
huggingface
NLP Architect (🥉20 · ⭐ 2.9K) - A model library for exploring state-of-the-art deep learning.. Apache-2
TextBox (🥉20 · ⭐ 430) - TextBox 2.0 is a text generation library with pre-trained language models. MIT
fastT5 (🥉18 · ⭐ 390 · 💤) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
OpenNRE (🥉16 · ⭐ 3.8K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
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GitHub (👨💻 11 · 🔀 1K · 📋 360 - 4% open · ⏱️ 03.11.2022):
git clone https://github.com/thunlp/OpenNRE
Show 38 hidden projects...
- ChatterBot (🥇36 · ⭐ 13K · 💀) - ChatterBot is a machine learning, conversational dialog engine..
BSD-3
- TextBlob (🥈34 · ⭐ 8.4K · 💀) - Simple, Pythonic, text processing--Sentiment analysis, part-of-..
MIT
- fuzzywuzzy (🥈33 · ⭐ 8.8K · 💀) - Fuzzy String Matching in Python.
❗️GPL-2.0
- GluonNLP (🥈30 · ⭐ 2.5K · 💀) - Toolkit that enables easy text preprocessing, datasets..
Apache-2
- neuralcoref (🥈28 · ⭐ 2.6K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks.
MIT
- polyglot (🥉27 · ⭐ 2.1K · 💀) - Multilingual text (NLP) processing toolkit.
❗️GPL-3.0
- langid (🥉27 · ⭐ 2K · 💀) - Stand-alone language identification system.
BSD-3
- flashtext (🥉26 · ⭐ 5.3K · 💀) - Extract Keywords from sentence or Replace keywords in sentences.
MIT
- underthesea (🥉26 · ⭐ 1.1K) - Underthesea - Vietnamese NLP Toolkit.
❗️GPL-3.0
- Snips NLU (🥉25 · ⭐ 3.7K · 💀) - Snips Python library to extract meaning from text.
Apache-2
- sense2vec (🥉25 · ⭐ 1.4K · 💀) - Contextually-keyed word vectors.
MIT
- textgenrnn (🥉24 · ⭐ 4.8K · 💀) - Easily train your own text-generating neural network of any..
MIT
- MatchZoo (🥉24 · ⭐ 3.7K · 💀) - Facilitating the design, comparison and sharing of deep..
Apache-2
- pytorch-nlp (🥉24 · ⭐ 2.1K · 💀) - Basic Utilities for PyTorch Natural Language Processing..
BSD-3
- whoosh (🥉24 · ⭐ 330 · 💤) - Pure-Python full-text search library.
❗️BSD-1-Clause
- Kashgari (🥉23 · ⭐ 2.3K · 💀) - Kashgari is a production-level NLP Transfer learning..
Apache-2
- YouTokenToMe (🥉23 · ⭐ 840 · 💀) - Unsupervised text tokenizer focused on computational efficiency.
MIT
- pySBD (🥉23 · ⭐ 520 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence..
MIT
- DeepMatcher (🥉22 · ⭐ 4.5K · 💀) - Python package for performing Entity and Text Matching using..
BSD-3
- Texar (🥉22 · ⭐ 2.3K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and..
Apache-2
- anaGo (🥉22 · ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,..
MIT
- DELTA (🥉21 · ⭐ 1.5K · 💀) - DELTA is a deep learning based natural language and speech..
Apache-2
- stop-words (🥉21 · ⭐ 140 · 💀) - Get list of common stop words in various languages in Python.
BSD-3
- pyfasttext (🥉20 · ⭐ 230 · 💀) - Yet another Python binding for fastText.
❗️GPL-3.0
- textpipe (🥉19 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text.
MIT
- NeuroNER (🥉18 · ⭐ 1.6K · 💀) - Named-entity recognition using neural networks. Easy-to-use and..
MIT
- nboost (🥉17 · ⭐ 640 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying..
Apache-2
- textaugment (🥉17 · ⭐ 290 · 💤) - TextAugment: Text Augmentation Library.
MIT
- skift (🥉17 · ⭐ 230) - scikit-learn wrappers for Python fastText.
MIT
- spacy-dbpedia-spotlight (🥉16 · ⭐ 83) - A spaCy wrapper for DBpedia Spotlight.
MIT
spacy
- Camphr (🥉15 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components.
Apache-2
spacy
- NeuralQA (🥉15 · ⭐ 220 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets..
MIT
- numerizer (🥉15 · ⭐ 190) - A Python module to convert natural language numerics into ints and..
MIT
- BLINK (🥉14 · ⭐ 970 · 💀) - Entity Linker solution.
MIT
- Headliner (🥉14 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models.
MIT
- ONNX-T5 (🥉14 · ⭐ 210 · 💀) - Summarization, translation, sentiment-analysis, text-generation..
Apache-2
- TransferNLP (🥉13 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation..
MIT
- textvec (🥉12 · ⭐ 180) - Text vectorization tool to outperform TFIDF for classification tasks.
MIT
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 (🥇43 · ⭐ 5.1K · 📉) - Image processing in Python. BSD-2
torchvision (🥇42 · ⭐ 13K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3

PyTorch Image Models (🥇39 · ⭐ 22K) - PyTorch image models, scripts, pretrained weights --.. Apache-2

MMDetection (🥇38 · ⭐ 22K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2

Albumentations (🥈36 · ⭐ 11K) - Fast image augmentation library and an easy-to-use wrapper.. MIT

PaddleDetection (🥈34 · ⭐ 9.1K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2

detectron2 (🥈33 · ⭐ 23K) - Detectron2 is a platform for object detection, segmentation.. Apache-2

InsightFace (🥈33 · ⭐ 13K) - State-of-the-art 2D and 3D Face Analysis Project. MIT

Face Recognition (🥈32 · ⭐ 47K) - The worlds simplest facial recognition api for Python and.. MIT

opencv-python (🥈32 · ⭐ 3.1K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
deepface (🥈31 · ⭐ 5K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender,.. MIT
sahi (🥈29 · ⭐ 2.2K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
vit-pytorch (🥈28 · ⭐ 12K) - Implementation of Vision Transformer, a simple way to achieve.. MIT

CellProfiler (🥈28 · ⭐ 730) - An open-source application for biological image analysis. BSD-3
facenet-pytorch (🥉26 · ⭐ 3.2K · 💤) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT

vidgear (🥉26 · ⭐ 2.5K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
Image Deduplicator (🥉25 · ⭐ 4.3K) - Finding duplicate images made easy!. Apache-2

segmentation_models (🥉25 · ⭐ 4.1K) - Segmentation models with pretrained backbones. Keras.. MIT

pytorchvideo (🥉25 · ⭐ 2.7K) - A deep learning library for video understanding research. Apache-2

Norfair (🥉25 · ⭐ 1.7K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
layout-parser (🥉24 · ⭐ 3.3K) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
tensorflow-graphics (🥉23 · ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2

icevision (🥉23 · ⭐ 780) - An Agnostic Computer Vision Framework - Pluggable to any Training.. Apache-2
scenic (🥉21 · ⭐ 1.6K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2

-
GitHub (👨💻 54 · 🔀 210 · 📦 28 · 📋 90 - 42% open · ⏱️ 30.11.2022):
git clone https://github.com/google-research/scenic
Classy Vision (🥉20 · ⭐ 1.5K) - An end-to-end PyTorch framework for image and video.. MIT

DE⫶TR (🥉19 · ⭐ 10K · 💤) - End-to-End Object Detection with Transformers. Apache-2

-
GitHub (👨💻 25 · 🔀 1.8K · 📋 470 - 40% open · ⏱️ 07.03.2022):
git clone https://github.com/facebookresearch/detr
PySlowFast (🥉19 · ⭐ 5.3K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2

Show 16 hidden projects...
- glfw (🥈35 · ⭐ 9.9K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.
❗️Zlib
- imgaug (🥈34 · ⭐ 13K · 💀) - Image augmentation for machine learning experiments.
MIT
- imageai (🥈30 · ⭐ 7.4K · 💀) - A python library built to empower developers to build applications..
MIT
- PyTorch3D (🥈29 · ⭐ 6.8K) - PyTorch3D is FAIRs library of reusable components for..
❗Unlicensed
- Face Alignment (🥉27 · ⭐ 6K · 💀) - 2D and 3D Face alignment library build using pytorch.
BSD-3
- chainercv (🥉27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision.
MIT
- Pillow-SIMD (🥉26 · ⭐ 1.9K) - The friendly PIL fork.
❗️PIL
- mtcnn (🥉25 · ⭐ 1.9K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP..
MIT
- Image Super-Resolution (🥉23 · ⭐ 3.9K · 💀) - Super-scale your images and run experiments with..
Apache-2
- Luminoth (🥉23 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision.
BSD-3
- nude.py (🥉21 · ⭐ 880 · 💀) - Nudity detection with Python.
MIT
- image-match (🥉20 · ⭐ 2.8K · 💀) - Quickly search over billions of images.
Apache-2
- Caer (🥉18 · ⭐ 660 · 💀) - A lightweight Computer Vision library. Scale your models, not boilerplate.
MIT
- solt (🥉17 · ⭐ 260) - Streaming over lightweight data transformations.
MIT
- Torch Points 3D (🥉16 · ⭐ 120 · 💤) - Pytorch framework for doing deep learning on point..
BSD-3
- HugsVision (🥉14 · ⭐ 170 · 💤) - HugsVision is a easy to use huggingface wrapper for state-of-..
MIT
huggingface
Libraries for graph processing, clustering, embedding, and machine learning tasks.
PyTorch Geometric (🥇38 · ⭐ 16K) - Graph Neural Network Library for PyTorch. MIT

dgl (🥇37 · ⭐ 11K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
ogb (🥈29 · ⭐ 1.5K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
Paddle Graph Learning (🥈28 · ⭐ 1.4K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2

pygraphistry (🥈27 · ⭐ 1.8K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3

pytorch_geometric_temporal (🥈25 · ⭐ 1.8K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT

PyKEEN (🥈25 · ⭐ 1.1K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
PyTorch-BigGraph (🥈24 · ⭐ 3.1K) - Generate embeddings from large-scale graph-structured.. BSD-3

torch-cluster (🥉22 · ⭐ 590) - PyTorch Extension Library of Optimized Graph Cluster.. MIT

GraphEmbedding (🥉16 · ⭐ 3.1K) - Implementation and experiments of graph embedding algorithms. MIT

-
GitHub (👨💻 9 · 🔀 890 · 📦 22 · 📋 70 - 64% open · ⏱️ 21.06.2022):
git clone https://github.com/shenweichen/GraphEmbedding
OpenKE (🥉15 · ⭐ 3.3K) - An Open-Source Package for Knowledge Embedding (KE). MIT
-
GitHub (👨💻 11 · 🔀 920 · 📋 360 - 1% open · ⏱️ 03.11.2022):
git clone https://github.com/thunlp/OpenKE
OpenNE (🥉14 · ⭐ 1.6K) - An Open-Source Package for Network Embedding (NE). MIT

-
GitHub (👨💻 11 · 🔀 480 · 📋 100 - 4% open · ⏱️ 02.11.2022):
git clone https://github.com/thunlp/OpenNE
Show 15 hidden projects...
- igraph (🥇32 · ⭐ 1K) - Python interface for igraph.
❗️GPL-2.0
- StellarGraph (🥈28 · ⭐ 2.6K · 💀) - StellarGraph - Machine Learning on Graphs.
Apache-2
- pygal (🥈27 · ⭐ 2.5K · 💀) - PYthon svg GrAph plotting Library.
❗️LGPL-3.0
- Karate Club (🥈26 · ⭐ 1.8K) - Karate Club: An API Oriented Open-source Python Framework for..
❗️GPL-3.0
- AmpliGraph (🥈24 · ⭐ 1.9K · 💀) - Python library for Representation Learning on Knowledge..
Apache-2
- DIG (🥉23 · ⭐ 1.3K) - A library for graph deep learning research.
❗️GPL-3.0
- DeepWalk (🥉21 · ⭐ 2.5K · 💀) - DeepWalk - Deep Learning for Graphs.
❗️GPL-3.0
- graph-nets (🥉20 · ⭐ 5.2K · 💀) - Build Graph Nets in Tensorflow.
Apache-2
- deepsnap (🥉19 · ⭐ 450 · 💀) - Python library assists deep learning on graphs.
MIT
- pyRDF2Vec (🥉18 · ⭐ 170) - Python Implementation and Extension of RDF2Vec.
MIT
- Sematch (🥉17 · ⭐ 400 · 💀) - semantic similarity framework for knowledge graph.
Apache-2
- DeepGraph (🥉17 · ⭐ 270 · 💀) - Analyze Data with Pandas-based Networks. Documentation:.
BSD-3
- Euler (🥉16 · ⭐ 2.8K · 💀) - A distributed graph deep learning framework.
Apache-2
- GraphSAGE (🥉15 · ⭐ 2.9K · 💀) - Representation learning on large graphs using stochastic..
MIT
- GraphVite (🥉13 · ⭐ 1.1K · 💀) - GraphVite: A General and High-performance Graph Embedding..
Apache-2
Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks.
speechbrain (🥇34 · ⭐ 4.9K) - A PyTorch-based Speech Toolkit. Apache-2

torchaudio (🥇34 · ⭐ 1.9K) - Data manipulation and transformation for audio signal.. BSD-2

SpeechRecognition (🥈32 · ⭐ 6.6K) - Speech recognition module for Python, supporting several.. BSD-3
pyAudioAnalysis (🥈28 · ⭐ 5K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
python-soundfile (🥈28 · ⭐ 500) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
audioread (🥈28 · ⭐ 410) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT
audiomentations (🥉27 · ⭐ 1.2K) - A Python library for audio data augmentation. Inspired by.. MIT
tinytag (🥉26 · ⭐ 570) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT
Show 9 hidden projects...
- DeepSpeech (🥇35 · ⭐ 21K · 💀) - DeepSpeech is an open source embedded (offline, on-..
MPL-2.0
- aubio (🥈28 · ⭐ 2.8K · 💤) - a library for audio and music analysis.
❗️GPL-3.0
- Essentia (🥉26 · ⭐ 2.2K) - C++ library for audio and music analysis, description and..
❗️AGPL-3.0
- python_speech_features (🥉23 · ⭐ 2.2K · 💀) - This library provides common speech features for ASR..
MIT
- Dejavu (🥉22 · ⭐ 5.9K · 💀) - Audio fingerprinting and recognition in Python.
MIT
- TTS (🥉21 · ⭐ 6.4K · 💀) - Deep learning for Text to Speech (Discussion forum:..
MPL-2.0
- TimeSide (🥉21 · ⭐ 340) - Scalable audio processing framework written in Python with a..
❗️AGPL-3.0
- Muda (🥉17 · ⭐ 210 · 💀) - A library for augmenting annotated audio data.
ISC
- textlesslib (🥉9 · ⭐ 380 · 💤) - 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 (🥇42 · ⭐ 10K) - WebGL2 powered visualization framework. MIT

-
GitHub (👨💻 210 · 🔀 1.9K · 📦 5K · 📋 2.6K - 7% open · ⏱️ 23.11.2022):
git clone https://github.com/visgl/deck.gl
-
PyPi (📥 950K / month · 📦 24 · ⏱️ 25.10.2021):
pip install pydeck
-
Conda (📥 240K · ⏱️ 04.11.2022):
conda install -c conda-forge pydeck
-
npm (📥 350K / month · 📦 420 · ⏱️ 15.11.2022):
npm install deck.gl
ipyleaflet (🥈33 · ⭐ 1.3K) - A Jupyter - Leaflet.js bridge. MIT

-
GitHub (👨💻 81 · 🔀 350 · 📦 3.2K · 📋 540 - 39% open · ⏱️ 27.10.2022):
git clone https://github.com/jupyter-widgets/ipyleaflet
-
PyPi (📥 160K / month · 📦 110 · ⏱️ 07.07.2022):
pip install ipyleaflet
-
Conda (📥 930K · ⏱️ 19.10.2022):
conda install -c conda-forge ipyleaflet
-
npm (📥 57K / month · 📦 3 · ⏱️ 19.10.2022):
npm install jupyter-leaflet
ArcGIS API (🥉28 · ⭐ 1.5K) - Documentation and samples for ArcGIS API for Python. Apache-2
-
GitHub (👨💻 82 · 🔀 940 · 📥 6.4K · 📋 540 - 10% open · ⏱️ 17.11.2022):
git clone https://github.com/Esri/arcgis-python-api
-
PyPi (📥 55K / month · 📦 26 · ⏱️ 02.06.2022):
pip install arcgis
-
Docker Hub (📥 7.5K · ⭐ 37 · ⏱️ 17.06.2022):
docker pull esridocker/arcgis-api-python-notebook
Show 8 hidden projects...
- Geocoder (🥉32 · ⭐ 1.5K · 💀) - Python Geocoder.
MIT
- Satpy (🥉30 · ⭐ 880) - Python package for earth-observing satellite data processing.
❗️GPL-3.0
- Sentinelsat (🥉26 · ⭐ 830) - Search and download Copernicus Sentinel satellite images.
❗️GPL-3.0
- pymap3d (🥉26 · ⭐ 290 · 📈) - pure-Python (Numpy optional) 3D coordinate conversions for geospace..
BSD-2
- prettymaps (🥉23 · ⭐ 8.9K) - A small set of Python functions to draw pretty maps from..
❗️AGPL-3.0
- gmaps (🥉23 · ⭐ 750 · 💀) - Google maps for Jupyter notebooks.
BSD-3
- Mapbox GL (🥉23 · ⭐ 620 · 💀) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook.
MIT
- geoplotlib (🥉21 · ⭐ 980 · 💀) - 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.
TensorTrade (🥉24 · ⭐ 4K) - An open source reinforcement learning framework for training,.. Apache-2
stockstats (🥉24 · ⭐ 1.1K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
Crypto Signals (🥉23 · ⭐ 4.2K) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
-
GitHub (👨💻 28 · 🔀 1.2K · 📋 260 - 22% open · ⏱️ 09.08.2022):
git clone https://github.com/CryptoSignal/crypto-signal
-
Docker Hub (📥 140K · ⭐ 8 · ⏱️ 03.09.2020):
docker pull shadowreaver/crypto-signal
tf-quant-finance (🥉22 · ⭐ 3.4K) - High-performance TensorFlow library for quantitative.. Apache-2

finmarketpy (🥉19 · ⭐ 3K · 💤) - Python library for backtesting trading strategies & analyzing.. Apache-2
Show 14 hidden projects...
- zipline (🥇33 · ⭐ 16K · 💀) - Zipline, a Pythonic Algorithmic Trading Library.
Apache-2
- backtrader (🥈29 · ⭐ 9.6K · 💀) - Python Backtesting library for trading strategies.
❗️GPL-3.0
- pyfolio (🥈29 · ⭐ 4.7K · 💀) - Portfolio and risk analytics in Python.
Apache-2
- arch (🥈28 · ⭐ 1K) - ARCH models in Python.
❗️NCSA
- Alpha Vantage (🥈27 · ⭐ 3.8K · 💀) - A python wrapper for Alpha Vantage API for financial data.
MIT
- Alphalens (🥈27 · ⭐ 2.5K · 💀) - Performance analysis of predictive (alpha) stock factors.
Apache-2
- empyrical (🥉26 · ⭐ 1K · 💀) - Common financial risk and performance metrics. Used by zipline..
Apache-2
- Enigma Catalyst (🥉25 · ⭐ 2.4K · 💀) - An Algorithmic Trading Library for Crypto-Assets in..
Apache-2
- PyAlgoTrade (🥉24 · ⭐ 3.8K · 💀) - Python Algorithmic Trading Library.
Apache-2
- FinTA (🥉23 · ⭐ 1.8K) - Common financial technical indicators implemented in Pandas.
❗️LGPL-3.0
- Backtesting.py (🥉22 · ⭐ 3K · 📈) - Backtest trading strategies in Python.
❗️AGPL-3.0
- FinQuant (🥉18 · ⭐ 870 · 💀) - A program for financial portfolio management, analysis and..
MIT
- surpriver (🥉12 · ⭐ 1.5K · 💀) - Find big moving stocks before they move using machine..
❗️GPL-3.0
- pyrtfolio (🥉7 · ⭐ 120 · 💀) - 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 (🥇36 · ⭐ 15K) - Tool for producing high quality forecasts for time series data that has.. MIT
NeuralProphet (🥇33 · ⭐ 2.7K) - NeuralProphet: A simple forecasting package. MIT

pmdarima (🥈32 · ⭐ 1.3K) - A statistical library designed to fill the void in Pythons time series.. MIT
STUMPY (🥈31 · ⭐ 2.4K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
Darts (🥈30 · ⭐ 5.1K) - A python library for easy manipulation and forecasting of time series. Apache-2
-
GitHub (👨💻 71 · 🔀 540 · 📦 140 · 📋 770 - 27% open · ⏱️ 01.12.2022):
git clone https://github.com/unit8co/darts
-
PyPi (📥 9.1K / month · 📦 3 · ⏱️ 22.06.2022):
pip install u8darts
-
Conda (📥 19K · ⏱️ 05.10.2022):
conda install -c conda-forge u8darts-all
-
Docker Hub (📥 360 · ⏱️ 04.10.2022):
docker pull unit8/darts
pytorch-forecasting (🥈30 · ⭐ 2.4K) - Time series forecasting with PyTorch. MIT
StatsForecast (🥈28 · ⭐ 1.7K) - Lightning fast forecasting with statistical and econometric.. Apache-2
uber/orbit (🥉26 · ⭐ 1.5K · 📈) - A Python package for Bayesian forecasting with object-.. Apache-2
NeuralForecast (🥉23 · ⭐ 980) - Scalable and user friendly neural forecasting algorithms for.. Apache-2
Show 8 hidden projects...
- PyFlux (🥉22 · ⭐ 2K · 💀) - Open source time series library for Python.
BSD-3
- luminol (🥉21 · ⭐ 1.1K · 💀) - Anomaly Detection and Correlation library.
Apache-2
- pydlm (🥉20 · ⭐ 440 · 💀) - A python library for Bayesian time series modeling.
BSD-3
- tick (🥉20 · ⭐ 410 · 💀) - Module for statistical learning, with a particular emphasis on time-..
BSD-3
- ADTK (🥉19 · ⭐ 880 · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in time..
MPL-2.0
- matrixprofile-ts (🥉19 · ⭐ 690 · 💀) - A Python library for detecting patterns and anomalies..
Apache-2
- tsflex (🥉17 · ⭐ 190) - Flexible time series feature extraction & processing.
MIT
- tsaug (🥉14 · ⭐ 270 · 💀) - 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 (🥇37 · ⭐ 2.1K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
pyRiemann (🥉25 · ⭐ 440) - Python machine learning package based on sklearn API for multivariate.. BSD-3
DeepVariant (🥉24 · ⭐ 2.7K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3

Medical Detection Toolkit (🥉15 · ⭐ 1.2K · 💤) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2

-
GitHub (👨💻 3 · 🔀 290 · 📋 130 - 33% open · ⏱️ 04.04.2022):
git clone https://github.com/MIC-DKFZ/medicaldetectiontoolkit
Show 9 hidden projects...
- NiftyNet (🥉25 · ⭐ 1.3K · 💀) - [unmaintained] An open-source convolutional neural..
Apache-2
- MedPy (🥉23 · ⭐ 440) - Medical image processing in Python.
❗️GPL-3.0
- NIPY (🥉23 · ⭐ 320 · 💀) - Neuroimaging in Python FMRI analysis package.
BSD-3
- DLTK (🥉22 · ⭐ 1.3K · 💀) - Deep Learning Toolkit for Medical Image Analysis.
Apache-2
- Brainiak (🥉20 · ⭐ 290 · 💀) - Brain Imaging Analysis Kit.
Apache-2
- Glow (🥉19 · ⭐ 220) - An open-source toolkit for large-scale genomic analysis.
Apache-2
- MedicalTorch (🥉16 · ⭐ 790 · 💀) - A medical imaging framework for Pytorch.
Apache-2
- DeepNeuro (🥉13 · ⭐ 110 · 💀) - A deep learning python package for neuroimaging data. Made by:.
MIT
- MedicalNet (🥉12 · ⭐ 1.5K · 💀) - Many studies have shown that the performance on deep learning is..
MIT
Libraries for processing tabular and structured data.
carefree-learn (🥇22 · ⭐ 380) - Deep Learning PyTorch. MIT

pytorch_tabular (🥉17 · ⭐ 780) - A standard framework for modelling Deep Learning Models.. MIT

Show 2 hidden projects...
- miceforest (🥈20 · ⭐ 200) - Multiple Imputation with LightGBM in Python.
MIT
- upgini (🥉19 · ⭐ 160) - Free automated data enrichment library for machine learning searches..
BSD-3
Libraries for optical character recognition (OCR) and text extraction from images or videos.
EasyOCR (🥇35 · ⭐ 16K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
Tesseract (🥈33 · ⭐ 4.5K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
OCRmyPDF (🥈29 · ⭐ 7.8K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
pdftabextract (🥉21 · ⭐ 2K) - A set of tools for extracting tables from PDF files helping to.. Apache-2
Mozart (🥉10 · ⭐ 420) - An optical music recognition (OMR) system. Converts sheet music.. Apache-2

-
GitHub (👨💻 5 · 🔀 60 · 📋 13 - 30% open · ⏱️ 24.08.2022):
git clone https://github.com/aashrafh/Mozart
Show 2 hidden projects...
- attention-ocr (🥉21 · ⭐ 930 · 💀) - A Tensorflow model for text recognition (CNN + seq2seq..
MIT
- doc2text (🥉20 · ⭐ 1.3K · 💀) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python..
MIT
General-purpose data containers & structures as well as utilities & extensions for pandas.
🔗 best-of-python - Data Containers ( ⭐ 2.6K) - 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 ( ⭐ 2.6K) - 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 ( ⭐ 1.7K) - 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 ( ⭐ 2.6K) - Libraries for data batch- and stream-processing,..
Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure.
Ray (🥇44 · ⭐ 23K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2
dask.distributed (🥇40 · ⭐ 1.4K) - A distributed task scheduler for Dask. BSD-3
horovod (🥇38 · ⭐ 13K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
DeepSpeed (🥈35 · ⭐ 8.2K) - DeepSpeed is a deep learning optimization library that makes.. MIT

-
GitHub (👨💻 150 · 🔀 950 · 📦 510 · 📋 1.2K - 48% open · ⏱️ 30.11.2022):
git clone https://github.com/microsoft/DeepSpeed
-
PyPi (📥 460K / month · 📦 12 · ⏱️ 25.05.2022):
pip install deepspeed
-
Docker Hub (📥 14K · ⭐ 3 · ⏱️ 02.09.2022):
docker pull deepspeed/deepspeed
BigDL (🥈35 · ⭐ 4.1K) - Fast, distributed, secure AI for Big Data. Apache-2
-
GitHub (👨💻 170 · 🔀 1.1K · 📦 41 · 📋 1.7K - 37% open · ⏱️ 01.12.2022):
git clone https://github.com/intel-analytics/BigDL
-
PyPi (📥 3.6K / month · 📦 1 · ⏱️ 07.07.2022):
pip install bigdl
-
Maven (📦 4 · ⏱️ 20.04.2021):
<dependency> <groupId>com.intel.analytics.bigdl</groupId> <artifactId>bigdl-SPARK_2.4</artifactId> <version>[VERSION]</version> </dependency>
H2O-3 (🥈33 · ⭐ 6.1K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
ColossalAI (🥈27 · ⭐ 6.8K) - Colossal-AI: A Unified Deep Learning System for Big Model Era. Apache-2
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GitHub (👨💻 81 · 🔀 630 · 📦 140 · 📋 280 - 37% open · ⏱️ 01.12.2022):
git clone https://github.com/hpcaitech/colossalai
TensorFlowOnSpark (🥈27 · ⭐ 3.8K · 💤) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2


petastorm (🥉26 · ⭐ 1.5K) - Petastorm library enables single machine or distributed training.. Apache-2
analytics-zoo (🥉25 · ⭐ 2.5K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2

Apache Singa (🥉21 · ⭐ 2.7K) - a distributed deep learning platform. Apache-2
-
GitHub (👨💻 79 · 🔀 880 · 📦 2 · 📋 100 - 37% open · ⏱️ 01.06.2022):
git clone https://github.com/apache/singa
-
Conda (📥 550 · ⏱️ 09.08.2021):
conda install -c nusdbsystem singa
-
Docker Hub (📥 2.4K · ⭐ 4 · ⏱️ 31.05.2022):
docker pull apache/singa
BytePS (🥉19 · ⭐ 3.3K · 💤) - A high performance and generic framework for distributed DNN.. Apache-2
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GitHub (👨💻 19 · 🔀 460 · 📋 260 - 38% open · ⏱️ 10.02.2022):
git clone https://github.com/bytedance/byteps
-
PyPi (📥 71 / month · ⏱️ 02.08.2021):
pip install byteps
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Docker Hub (📥 1.3K · ⏱️ 03.03.2020):
docker pull bytepsimage/tensorflow
parallelformers (🥉18 · ⭐ 550) - Parallelformers: An Efficient Model Parallelization.. Apache-2
mesh-transformer-jax (🥉16 · ⭐ 4.6K · 💤) - Model parallel transformers in JAX and Haiku. Apache-2

-
GitHub (👨💻 23 · 🔀 640 · 📋 190 - 16% open · ⏱️ 28.01.2022):
git clone https://github.com/kingoflolz/mesh-transformer-jax
moolib (🥉12 · ⭐ 340) - A library for distributed ML training with PyTorch. MIT

-
GitHub (👨💻 5 · 🔀 15 · 📦 3 · 📋 17 - 35% open · ⏱️ 07.11.2022):
git clone https://github.com/facebookresearch/moolib
Show 10 hidden projects...
- DEAP (🥈32 · ⭐ 4.9K) - Distributed Evolutionary Algorithms in Python.
❗️LGPL-3.0
- ipyparallel (🥈29 · ⭐ 2.3K) - IPython Parallel: Interactive Parallel Computing in..
❗Unlicensed
- TensorFrames (🥉21 · ⭐ 760 · 💀) - [DEPRECATED] Tensorflow wrapper for DataFrames on..
Apache-2
- launchpad (🥉21 · ⭐ 280) - Launchpad is a library that simplifies writing distributed..
Apache-2
- sk-dist (🥉20 · ⭐ 280 · 💀) - Distributed scikit-learn meta-estimators in PySpark.
Apache-2
- somoclu (🥉18 · ⭐ 240) - Massively parallel self-organizing maps: accelerate training on multicore..
MIT
- Fiber (🥉17 · ⭐ 990 · 💀) - Distributed Computing for AI Made Simple.
Apache-2
- bluefog (🥉16 · ⭐ 280 · 💤) - Distributed and decentralized training framework for PyTorch..
Apache-2
- LazyCluster (🥉14 · ⭐ 44 · 💀) - Distributed machine learning made simple.
Apache-2
- autodist (🥉11 · ⭐ 120 · 💀) - Simple Distributed Deep Learning on TensorFlow.
Apache-2
Libraries for hyperparameter optimization, automl and neural architecture search.
Bayesian Optimization (🥇34 · ⭐ 6.4K) - A Python implementation of global optimization with.. MIT
auto-sklearn (🥇33 · ⭐ 6.6K) - Automated Machine Learning with scikit-learn. BSD-3

featuretools (🥇33 · ⭐ 6.4K) - An open source python library for automated feature engineering. BSD-3
Keras Tuner (🥇33 · ⭐ 2.6K) - A Hyperparameter Tuning Library for Keras. Apache-2

mljar-supervised (🥈25 · ⭐ 2.3K) - Python package for AutoML on Tabular Data with Feature.. MIT
lazypredict (🥈25 · ⭐ 600) - Lazy Predict help build a lot of basic models without much code.. MIT

HpBandSter (🥉23 · ⭐ 550 · 💤) - a distributed Hyperband implementation on Steroids. BSD-3
featurewiz (🥉23 · ⭐ 330) - Use advanced feature engineering strategies and select best.. Apache-2
Hyperactive (🥉22 · ⭐ 420) - An optimization and data collection toolbox for convenient and fast.. MIT
Neuraxle (🥉21 · ⭐ 550) - The worlds cleanest AutoML library - Do hyperparameter tuning with.. Apache-2
igel (🥉18 · ⭐ 3K · 💤) - a delightful machine learning tool that allows you to train, test, and use.. MIT
AlphaPy (🥉18 · ⭐ 820 · 💤) - Automated Machine Learning [AutoML] with Python, scikit-learn,.. Apache-2
opytimizer (🥉18 · ⭐ 540) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2
Auto ViML (🥉18 · ⭐ 380) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
shap-hypetune (🥉17 · ⭐ 410) - A python package for simultaneous Hyperparameters Tuning and.. MIT
model_search (🥉11 · ⭐ 3.2K · 💤) - AutoML algorithms for model architecture search at scale. Apache-2
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GitHub (👨💻 1 · 🔀 360 · 📋 52 - 71% open · ⏱️ 09.02.2022):
git clone https://github.com/google/model_search
Show 26 hidden projects...
- TPOT (🥈32 · ⭐ 8.8K) - A Python Automated Machine Learning tool that optimizes machine..
❗️LGPL-3.0
- Hyperopt (🥈32 · ⭐ 6.5K · 💀) - Distributed Asynchronous Hyperparameter Optimization in Python.
BSD-3
- scikit-optimize (🥈31 · ⭐ 2.5K · 💀) - Sequential model-based optimization with a..
BSD-3
- Hyperas (🥈27 · ⭐ 2.1K · 💀) - Keras + Hyperopt: A very simple wrapper for convenient..
MIT
- GPyOpt (🥈27 · ⭐ 840 · 💀) - Gaussian Process Optimization using GPy.
BSD-3
- Orion (🥈27 · ⭐ 250) - Asynchronous Distributed Hyperparameter Optimization.
BSD-3
- SMAC3 (🥈26 · ⭐ 760) - SMAC3: A Versatile Bayesian Optimization Package for..
❗️BSD-1-Clause
- AdaNet (🥉24 · ⭐ 3.4K · 💀) - Fast and flexible AutoML with learning guarantees.
Apache-2
- MLBox (🥉23 · ⭐ 1.4K · 💀) - MLBox is a powerful Automated Machine Learning python library.
❗️BSD-1-Clause
- lightwood (🥉23 · ⭐ 300) - Lightwood is Legos for Machine Learning.
❗️GPL-3.0
- auto_ml (🥉22 · ⭐ 1.6K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production.
MIT
- Test Tube (🥉22 · ⭐ 730 · 💀) - Python library to easily log experiments and parallelize..
MIT
- optunity (🥉22 · ⭐ 400 · 💀) - optimization routines for hyperparameter tuning.
BSD-3
- sklearn-deap (🥉20 · ⭐ 710 · 💀) - Use evolutionary algorithms instead of gridsearch in..
MIT
- Auto Tune Models (🥉18 · ⭐ 520 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for..
MIT
- Sherpa (🥉18 · ⭐ 320 · 💀) - Hyperparameter optimization that enables researchers to..
❗️GPL-3.0
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Apache-2
- Parfit (🥉17 · ⭐ 200 · 💀) - A package for parallelizing the fit and flexibly scoring of..
MIT
- automl-gs (🥉16 · ⭐ 1.8K · 💀) - Provide an input CSV and a target field to predict, generate a..
MIT
- HyperparameterHunter (🥉16 · ⭐ 700 · 💀) - Easy hyperparameter optimization and automatic result..
MIT
- Xcessiv (🥉15 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated..
Apache-2
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Apache-2
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❗️GPL-3.0
- Devol (🥉11 · ⭐ 950 · 💀) - Genetic neural architecture search with Keras.
MIT
- Hypermax (🥉11 · ⭐ 100 · 💀) - Better, faster hyper-parameter optimization.
BSD-3
- Hypertunity (🥉9 · ⭐ 120 · 💀) - A toolset for black-box hyperparameter optimisation.
Apache-2
Libraries for building and evaluating reinforcement learning & agent-based systems.
OpenAI Gym (🥇41 · ⭐ 29K) - A toolkit for developing and comparing reinforcement learning.. MIT
TensorLayer (🥈27 · ⭐ 7.1K · 💤) - Deep Learning and Reinforcement Learning Library for.. Apache-2

PARL (🥈27 · ⭐ 2.8K) - A high-performance distributed training framework for Reinforcement.. Apache-2

Stable Baselines (🥉23 · ⭐ 3.7K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT
TensorForce (🥉23 · ⭐ 3.2K · 💤) - Tensorforce: a TensorFlow library for applied.. Apache-2

rliable (🥉12 · ⭐ 520) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
Show 7 hidden projects...
- baselines (🥇29 · ⭐ 13K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement..
MIT
- keras-rl (🥈28 · ⭐ 5.3K · 💀) - Deep Reinforcement Learning for Keras.
MIT
- ChainerRL (🥉23 · ⭐ 1.1K · 💀) - ChainerRL is a deep reinforcement learning library built on top of..
MIT
- TRFL (🥉22 · ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning.
Apache-2
- SerpentAI (🥉19 · ⭐ 6.4K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to..
MIT
- DeepMind Lab (🥉17 · ⭐ 6.8K) - A customisable 3D platform for agent-based AI research.
❗Unlicensed
- Maze (🥉15 · ⭐ 220) - Maze Applied Reinforcement Learning Framework.
❗️Custom
Libraries for building and evaluating recommendation systems.
Recommenders (🥇35 · ⭐ 15K) - Best Practices on Recommendation Systems. MIT
TF Recommenders (🥇31 · ⭐ 1.5K) - TensorFlow Recommenders is a library for building.. Apache-2

scikit-surprise (🥈30 · ⭐ 5.6K) - A Python scikit for building and analyzing recommender.. BSD-3
lightfm (🥈29 · ⭐ 4.2K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2
TF Ranking (🥈29 · ⭐ 2.6K) - Learning to Rank in TensorFlow. Apache-2

recmetrics (🥉18 · ⭐ 440 · 💤) - A library of metrics for evaluating recommender systems. MIT
Show 7 hidden projects...
- tensorrec (🥉23 · ⭐ 1.2K · 💀) - A TensorFlow recommendation algorithm and framework in..
Apache-2
- fastFM (🥉21 · ⭐ 1K · 💀) - fastFM: A Library for Factorization Machines.
BSD-3
- Spotlight (🥉19 · ⭐ 2.8K · 💀) - Deep recommender models using PyTorch.
MIT
- lkpy (🥉19 · ⭐ 220) - Python recommendation toolkit.
MIT
- Case Recommender (🥉17 · ⭐ 430 · 💀) - Case Recommender: A Flexible and Extensible Python..
MIT
- OpenRec (🥉16 · ⭐ 400 · 💀) - OpenRec is an open-source and modular library for neural network-..
Apache-2
- Collie (🥉16 · ⭐ 94) - 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 · ⭐ 1.7K) - Library for training machine learning models with.. Apache-2

TFEncrypted (🥉24 · ⭐ 1.1K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2

Show 1 hidden projects...
- PipelineDP (🥉20 · ⭐ 240) - PipelineDP is a Python framework for applying differentially..
Apache-2
Libraries to organize, track, and visualize machine learning experiments.
Tensorboard (🥇43 · ⭐ 6K) - TensorFlows Visualization Toolkit. Apache-2

DVC (🥇41 · ⭐ 11K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2
wandb client (🥇37 · ⭐ 5K) - A tool for visualizing and tracking your machine learning.. MIT
SageMaker SDK (🥇37 · ⭐ 1.7K) - A library for training and deploying machine learning.. Apache-2


AzureML SDK (🥈35 · ⭐ 3.5K) - Python notebooks with ML and deep learning examples with Azure.. MIT
ClearML (🥈34 · ⭐ 3.8K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2
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GitHub (👨💻 58 · 🔀 510 · 📥 570 · 📦 350 · 📋 670 - 45% open · ⏱️ 01.12.2022):
git clone https://github.com/allegroai/clearml
-
PyPi (📥 500K / month · 📦 8 · ⏱️ 04.07.2022):
pip install clearml
-
Docker Hub (📥 30K · ⏱️ 05.10.2020):
docker pull allegroai/trains
tensorboardX (🥈32 · ⭐ 7.5K · 📉) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
Neptune.ai (🥈29 · ⭐ 350) - Experiment tracking tool and model registry. Apache-2
ml-metadata (🥉28 · ⭐ 500) - For recording and retrieving metadata associated with ML.. Apache-2
livelossplot (🥉25 · ⭐ 1.2K · 💤) - Live training loss plot in Jupyter Notebook for Keras,.. MIT

Labml (🥉24 · ⭐ 1.2K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
Show 16 hidden projects...
- kaggle (🥈29 · ⭐ 5K · 💀) - Official Kaggle API.
Apache-2
- knockknock (🥉25 · ⭐ 2.5K · 💀) - Knock Knock: Get notified when your training ends with only two..
MIT
- SKLL (🥉24 · ⭐ 530) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine..
❗️BSD-1-Clause
- hiddenlayer (🥉21 · ⭐ 1.7K · 💀) - Neural network graphs and training metrics for..
MIT
- TensorWatch (🥉20 · ⭐ 3.3K · 💀) - Debugging, monitoring and visualization for Python Machine..
MIT
- TensorBoard Logger (🥉20 · ⭐ 620 · 💀) - Log TensorBoard events without touching TensorFlow.
MIT
- Studio.ml (🥉20 · ⭐ 380 · 💀) - Studio: Simplify and expedite model building process.
Apache-2
- quinn (🥉20 · ⭐ 370 · 💀) - pyspark methods to enhance developer productivity.
Apache-2
- gokart (🥉20 · ⭐ 270) - Gokart solves reproducibility, task dependencies, constraints of good code,..
MIT
- MXBoard (🥉19 · ⭐ 330 · 💀) - Logging MXNet data for visualization in TensorBoard.
Apache-2
- datmo (🥉17 · ⭐ 340 · 💀) - Open source production model management tool for data scientists.
MIT
- chitra (🥉16 · ⭐ 210) - A multi-functional library for full-stack Deep Learning. Simplifies..
Apache-2
- steppy (🥉15 · ⭐ 130 · 💀) - Lightweight, Python library for fast and reproducible experimentation.
MIT
- caliban (🥉14 · ⭐ 440 · 💀) - Research workflows made easy, locally and in the Cloud.
Apache-2
- ModelChimp (🥉13 · ⭐ 120 · 💀) - Experiment tracking for machine and deep learning projects.
BSD-2
- traintool (🥉8 · ⭐ 11 · 💀) - 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 (🥇31 · ⭐ 3K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
huggingface_hub (🥇31 · ⭐ 600) - All the open source things related to the Hugging Face Hub. Apache-2
Hummingbird (🥈29 · ⭐ 3.1K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
TorchServe (🥈29 · ⭐ 3K) - Serve, optimize and scale PyTorch models in production. Apache-2

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GitHub (👨💻 140 · 🔀 650 · 📥 2.3K · 📋 1.1K - 17% open · ⏱️ 01.12.2022):
git clone https://github.com/pytorch/serve
-
PyPi (📥 19K / month · 📦 9 · ⏱️ 13.05.2022):
pip install torchserve
-
Conda (📥 49K · ⏱️ 14.11.2022):
conda install -c pytorch torchserve
-
Docker Hub (📥 1.1M · ⭐ 16 · ⏱️ 14.11.2022):
docker pull pytorch/torchserve
m2cgen (🥈25 · ⭐ 2.3K) - Transform ML models into a native code (Java, C, Python, Go, JavaScript,.. MIT
mmdnn (🥉24 · ⭐ 5.7K) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
sklearn-porter (🥉23 · ⭐ 1.2K · 💤) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3

Show 7 hidden projects...
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Apache-2
- OMLT (🥉20 · ⭐ 170) - Represent trained machine learning models as Pyomo optimization formulations.
BSD-3
- pytorch2keras (🥉19 · ⭐ 820 · 💀) - PyTorch to Keras model convertor.
MIT
- tfdeploy (🥉16 · ⭐ 350 · 💀) - Deploy tensorflow graphs for fast evaluation and export to..
BSD-3
- modelkit (🥉14 · ⭐ 140) - Toolkit for developing and maintaining ML models.
MIT
- backprop (🥉13 · ⭐ 230 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-..
Apache-2
- ml-ane-transformers (🥉11 · ⭐ 480 · 🐣) - Reference implementation of the Transformer..
❗Unlicensed
Libraries to visualize, explain, debug, evaluate, and interpret machine learning models.
shap (🥇38 · ⭐ 18K · 📉) - A game theoretic approach to explain the output of any machine learning.. MIT
InterpretML (🥇33 · ⭐ 5.1K) - Fit interpretable models. Explain blackbox machine learning. MIT

Model Analysis (🥇31 · ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2


dtreeviz (🥈30 · ⭐ 2.3K) - A python library for decision tree visualization and model interpretation. MIT
yellowbrick (🥈29 · ⭐ 3.9K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2

Fairness 360 (🥈29 · ⭐ 1.9K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
evaluate (🥈29 · ⭐ 980) - Evaluate: A library for easily evaluating machine learning models.. Apache-2
responsible-ai-widgets (🥈29 · ⭐ 620) - This project provides responsible AI user interfaces.. MIT



explainerdashboard (🥈28 · ⭐ 1.4K) - Quickly build Explainable AI dashboards that show the inner.. MIT
Explainability 360 (🥈26 · ⭐ 1.2K) - Interpretability and explainability of data and.. Apache-2
imodels (🥉24 · ⭐ 970) - Interpretable ML package for concise, transparent, and accurate predictive.. MIT
sklearn-evaluation (🥉24 · ⭐ 350) - Machine learning model evaluation made easy: plots,.. MIT

LIT (🥉23 · ⭐ 3K · 💤) - The Language Interpretability Tool: Interactively analyze NLP models.. Apache-2
iNNvestigate (🥉21 · ⭐ 1.1K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2

tf-explain (🥉21 · ⭐ 950) - Interpretability Methods for tf.keras models with Tensorflow 2.x. MIT

What-If Tool (🥉21 · ⭐ 760 · 💤) - Source code/webpage/demos for the What-If Tool. Apache-2
-
GitHub (👨💻 20 · 🔀 140 · 📋 120 - 52% open · ⏱️ 05.01.2022):
git clone https://github.com/PAIR-code/what-if-tool
-
PyPi (📥 9.9K / month · 📦 3 · ⏱️ 12.10.2021):
pip install witwidget
-
Conda (📥 1.4M · ⏱️ 06.01.2022):
conda install -c conda-forge tensorboard-plugin-wit
-
npm (📥 1.8K / month · ⏱️ 12.10.2021):
npm install wit-widget
model-card-toolkit (🥉19 · ⭐ 320) - a tool that leverages rich metadata and lineage.. Apache-2
interpret-text (🥉14 · ⭐ 340 · 💤) - A library that incorporates state-of-the-art explainers.. MIT

ExplainX.ai (🥉14 · ⭐ 320) - Explainable AI framework for data scientists. Explain & debug any.. MIT
Show 21 hidden projects...
- Lime (🥇33 · ⭐ 10K · 💀) - Lime: Explaining the predictions of any machine learning classifier.
BSD-2
- pyLDAvis (🥇31 · ⭐ 1.7K · 💀) - Python library for interactive topic model visualization...
BSD-3
- Deep Checks (🥈29 · ⭐ 2.2K) - Tests for Continuous Validation of ML Models & Data...
❗️AGPL-3.0
- eli5 (🥈27 · ⭐ 2.6K · 💀) - A library for debugging/inspecting machine learning classifiers and..
MIT
- scikit-plot (🥈27 · ⭐ 2.3K · 💀) - An intuitive library to add plotting functionality to..
MIT
- Lucid (🥈26 · ⭐ 4.5K · 💀) - A collection of infrastructure and tools for research in..
Apache-2
- keras-vis (🥉25 · ⭐ 2.9K · 💀) - Neural network visualization toolkit for keras.
MIT
- DALEX (🥉25 · ⭐ 1.1K) - moDel Agnostic Language for Exploration and eXplanation.
❗️GPL-3.0
- TreeInterpreter (🥉22 · ⭐ 720 · 💀) - Package for interpreting scikit-learns decision tree..
BSD-3
- random-forest-importances (🥉22 · ⭐ 530 · 💀) - Code to compute permutation and drop-column..
MIT
- aequitas (🥉22 · ⭐ 510 · 💀) - Bias and Fairness Audit Toolkit.
MIT
- Skater (🥉21 · ⭐ 1K · 💤) - Python Library for Model Interpretation/Explanations.
❗️UPL-1.0
- deeplift (🥉21 · ⭐ 690 · 💀) - Public facing deeplift repo.
MIT
- Quantus (🥉21 · ⭐ 260) - Quantus is an eXplainable AI toolkit for responsible evaluation of..
❗️LGPL-3.0
- tcav (🥉19 · ⭐ 550 · 💀) - Code for the TCAV ML interpretability project.
Apache-2
- fairness-indicators (🥉19 · ⭐ 280) - Tensorflows Fairness Evaluation and Visualization..
Apache-2
- XAI (🥉16 · ⭐ 870 · 💀) - XAI - An eXplainability toolbox for machine learning.
MIT
- FlashTorch (🥉16 · ⭐ 690 · 💀) - Visualization toolkit for neural networks in PyTorch! Demo --.
MIT
- contextual-ai (🥉12 · ⭐ 82 · 💀) - Contextual AI adds explainability to different stages of..
Apache-2
- Attribution Priors (🥉11 · ⭐ 110 · 💀) - Tools for training explainable models using..
MIT
- bias-detector (🥉10 · ⭐ 40) - Bias Detector is a python package for detecting bias in machine..
MIT
Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search.
🔗 ANN Benchmarks ( ⭐ 3.1K) - Benchmarks of approximate nearest neighbor libraries in Python.
Milvus (🥇38 · ⭐ 14K) - Vector database for scalable similarity search and AI applications. Apache-2
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GitHub (👨💻 230 · 🔀 1.9K · 📥 26K · 📋 6.6K - 5% open · ⏱️ 01.12.2022):
git clone https://github.com/milvus-io/milvus
-
PyPi (📥 170K / month · 📦 17 · ⏱️ 02.04.2022):
pip install pymilvus
-
Docker Hub (📥 2.4M · ⭐ 23 · ⏱️ 01.12.2022):
docker pull milvusdb/milvus
Faiss (🥇36 · ⭐ 19K) - A library for efficient similarity search and clustering of dense vectors. MIT
Annoy (🥈33 · ⭐ 11K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2
NMSLIB (🥈30 · ⭐ 2.9K · 💤) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
PyNNDescent (🥈28 · ⭐ 690) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
Show 4 hidden projects...
- Magnitude (🥉24 · ⭐ 1.5K · 💀) - A fast, efficient universal vector embedding utility package.
MIT
- NearPy (🥉21 · ⭐ 720 · 💀) - Python framework for fast (approximated) nearest neighbour search in..
MIT
- N2 (🥉19 · ⭐ 530 · 💀) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs..
Apache-2
- PySparNN (🥉11 · ⭐ 900 · 💀) - 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 (🥇37 · ⭐ 3.8K) - Probabilistic reasoning and statistical analysis in.. Apache-2

SALib (🥉29 · ⭐ 650) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT
pomegranate (🥉27 · ⭐ 3K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
Orbit (🥉26 · ⭐ 1.5K · 📈) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
Baal (🥉19 · ⭐ 680) - Library to enable Bayesian active learning in your research or labeling.. Apache-2
Show 7 hidden projects...
- pingouin (🥉28 · ⭐ 1.2K) - Statistical package in Python based on Pandas.
❗️GPL-3.0
- Edward (🥉27 · ⭐ 4.7K · 💀) - A probabilistic programming language in TensorFlow. Deep..
Apache-2
- PyStan (🥉27 · ⭐ 220) - PyStan, a Python interface to Stan, a platform for statistical modeling...
ISC
- pyhsmm (🥉21 · ⭐ 530 · 💀) - Bayesian inference in HSMMs and HMMs.
MIT
- scikit-posthocs (🥉21 · ⭐ 260) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python.
MIT
- Funsor (🥉18 · ⭐ 200) - Functional tensors for probabilistic programming.
Apache-2
- ZhuSuan (🥉16 · ⭐ 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 (🥇34 · ⭐ 3.4K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
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GitHub (👨💻 120 · 🔀 910 · 📦 270 · 📋 740 - 12% open · ⏱️ 28.11.2022):
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
-
PyPi (📥 40K / month · 📦 7 · ⏱️ 01.07.2022):
pip install adversarial-robustness-toolbox
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Conda (📥 19K · ⏱️ 16.11.2022):
conda install -c conda-forge adversarial-robustness-toolbox
TextAttack (🥈30 · ⭐ 2.2K) - TextAttack is a Python framework for adversarial attacks, data.. MIT
AdvBox (🥉19 · ⭐ 1.3K) - Advbox is a toolbox to generate adversarial examples that fool neural.. Apache-2
robustness (🥉19 · ⭐ 750 · 💤) - A library for experimenting with, training and evaluating neural.. MIT
Show 4 hidden projects...
- CleverHans (🥈30 · ⭐ 5.7K · 💀) - An adversarial example library for constructing attacks,..
MIT
- advertorch (🥉22 · ⭐ 1.1K · 💤) - A Toolbox for Adversarial Robustness Research.
❗️GPL-3.0
- textflint (🥉16 · ⭐ 580) - Unified Multilingual Robustness Evaluation Toolkit for Natural..
❗️GPL-3.0
- Adversary (🥉14 · ⭐ 370 · 💀) - 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.
optimum (🥈27 · ⭐ 800) - Accelerate training and inference of Transformers with easy to use.. Apache-2
CuPy (🥈25 · ⭐ 6.5K · 📉) - NumPy & SciPy for GPU. MIT
-
GitHub (👨💻 260 · 🔀 640):
git clone https://github.com/cupy/cupy
-
PyPi (📥 19K / month · 📦 160 · ⏱️ 30.06.2022):
pip install cupy
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Conda (📥 2.2M · ⏱️ 28.11.2022):
conda install -c conda-forge cupy
-
Docker Hub (📥 56K · ⭐ 8 · ⏱️ 11.11.2022):
docker pull cupy/cupy
DALI (🥉24 · ⭐ 4.1K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
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GitHub (👨💻 79 · 🔀 530 · 📋 1.3K - 17% open · ⏱️ 01.12.2022):
git clone https://github.com/NVIDIA/DALI
scikit-cuda (🥉24 · ⭐ 920 · 💤) - Python interface to GPU-powered libraries. BSD-3
Vulkan Kompute (🥉22 · ⭐ 1K · 📈) - General purpose GPU compute framework built on Vulkan to.. Apache-2
cuSignal (🥉19 · ⭐ 640) - GPU accelerated signal processing. Apache-2
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GitHub (👨💻 42 · 🔀 100 · 📋 140 - 11% open · ⏱️ 28.11.2022):
git clone https://github.com/rapidsai/cusignal
Show 6 hidden projects...
- GPUtil (🥉22 · ⭐ 920 · 💀) - A Python module for getting the GPU status from NVIDA GPUs using..
MIT
- py3nvml (🥉22 · ⭐ 210 · 💤) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside..
BSD-3
- BlazingSQL (🥉21 · ⭐ 1.8K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for..
Apache-2
- nvidia-ml-py3 (🥉20 · ⭐ 92 · 💀) - Python 3 Bindings for the NVIDIA Management Library.
BSD-3
- SpeedTorch (🥉15 · ⭐ 660 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch.
MIT
- ipyexperiments (🥉14 · ⭐ 150 · 💤) - jupyter/ipython experiment containers for GPU and..
Apache-2
Libraries that extend TensorFlow with additional capabilities.
TensorFlow Datasets (🥇36 · ⭐ 3.5K) - TFDS is a collection of datasets ready to use with.. Apache-2

tensorflow-hub (🥇36 · ⭐ 3.2K) - A library for transfer learning by reusing parts of.. Apache-2

tensor2tensor (🥈33 · ⭐ 13K) - Library of deep learning models and datasets designed to.. Apache-2

TensorFlow Transform (🥈33 · ⭐ 940) - Input pipeline framework. Apache-2

TF Model Optimization (🥈32 · ⭐ 1.3K) - A toolkit to optimize ML models for deployment for.. Apache-2

Keras-Preprocessing (🥉29 · ⭐ 1K · 💤) - Utilities for working with image data, text data, and.. MIT

TensorFlow I/O (🥉29 · ⭐ 600) - Dataset, streaming, and file system extensions.. Apache-2

Neural Structured Learning (🥉28 · ⭐ 950) - Training neural models with structured signals. Apache-2

TensorFlow Cloud (🥉25 · ⭐ 340) - The TensorFlow Cloud repository provides APIs that.. Apache-2

TF Compression (🥉22 · ⭐ 690) - Data compression in TensorFlow. Apache-2

Show 2 hidden projects...
- efficientnet (🥉25 · ⭐ 2K · 💀) - Implementation of EfficientNet model. Keras and..
Apache-2
- TensorNets (🥉21 · ⭐ 1K · 💀) - High level network definitions with pre-trained weights in..
MIT
Libraries that extend Jax with additional capabilities.
Show 1 hidden projects...
- jaxdf (🥉9 · ⭐ 64) - A JAX-based research framework for writing differentiable..
❗️LGPL-3.0
Libraries that extend scikit-learn with additional capabilities.
imbalanced-learn (🥇34 · ⭐ 6.2K · 💤) - A Python Package to Tackle the Curse of Imbalanced.. MIT

category_encoders (🥇34 · ⭐ 2.1K) - A library of sklearn compatible categorical variable.. BSD-3

scikit-learn-intelex (🥈30 · ⭐ 850) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2

scikit-multilearn (🥈27 · ⭐ 800) - A scikit-learn based module for multi-label et. al... BSD-2

scikit-lego (🥉25 · ⭐ 930) - Extra blocks for scikit-learn pipelines. MIT

scikit-opt (🥉24 · ⭐ 3.7K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT

sklearn-contrib-lightning (🥉23 · ⭐ 1.6K · 💤) - Large-scale linear classification, regression and.. BSD-3

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GitHub (👨💻 17 · 🔀 210 · 📥 240 · 📦 110 · 📋 96 - 56% open · ⏱️ 30.01.2022):
git clone https://github.com/scikit-learn-contrib/lightning
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PyPi (📥 2.3K / month · 📦 6 · ⏱️ 30.01.2022):
pip install sklearn-contrib-lightning
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Conda (📥 180K · ⏱️ 31.10.2022):
conda install -c conda-forge sklearn-contrib-lightning
iterative-stratification (🥉21 · ⭐ 740) - scikit-learn cross validators for iterative.. BSD-3

combo (🥉21 · ⭐ 600) - (AAAI 20) A Python Toolbox for Machine Learning Model Combination. BSD-2

xgboost
scikit-tda (🥉16 · ⭐ 370 · 💤) - Topological Data Analysis for Python. MIT

Show 7 hidden projects...
- scikit-survival (🥈27 · ⭐ 860) - Survival analysis built on top of scikit-learn.
❗️GPL-3.0
- fancyimpute (🥈26 · ⭐ 1.1K · 💀) - Multivariate imputation and matrix completion..
Apache-2
- sklearn-crfsuite (🥈26 · ⭐ 410 · 💀) - scikit-learn inspired API for CRFsuite.
MIT
- skope-rules (🥉21 · ⭐ 490 · 💀) - machine learning with logical rules in Python.
❗️BSD-1-Clause
- celer (🥉20 · ⭐ 170) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,..
BSD-3
- skggm (🥉17 · ⭐ 210 · 💤) - Scikit-learn compatible estimation of general graphical models.
MIT
- dabl (🥉17 · ⭐ 120 · 💀) - Data Analysis Baseline Library.
BSD-3
Libraries that extend Pytorch with additional capabilities.
accelerate (🥇34 · ⭐ 3.3K) - A simple way to train and use PyTorch models with multi-.. Apache-2

PML (🥇31 · ⭐ 4.9K) - The easiest way to use deep metric learning in your application. Modular,.. MIT

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GitHub (👨💻 29 · 🔀 590 · 📦 400 · 📋 400 - 13% open · ⏱️ 01.11.2022):
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
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PyPi (📥 140K / month · 📦 12 · ⏱️ 29.06.2022):
pip install pytorch-metric-learning
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Conda (📥 9K · ⏱️ 01.11.2022):
conda install -c metric-learning pytorch-metric-learning
torchdiffeq (🥇28 · ⭐ 4.3K) - Differentiable ODE solvers with full GPU support and.. MIT

lightning-flash (🥇28 · ⭐ 1.6K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2

torch-scatter (🥈26 · ⭐ 1.1K) - PyTorch Extension Library of Optimized Scatter Operations. MIT

tinygrad (🥈25 · ⭐ 9.3K) - You like pytorch? You like micrograd? You love tinygrad!. MIT

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GitHub (👨💻 70 · 🔀 810 · 📦 3 · 📋 130 - 14% open · ⏱️ 15.11.2022):
git clone https://github.com/geohot/tinygrad
PyTorch Sparse (🥈25 · ⭐ 740) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT

Pytorch Toolbelt (🥈24 · ⭐ 1.3K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT

reformer-pytorch (🥉20 · ⭐ 1.8K) - Reformer, the efficient Transformer, in Pytorch. MIT

Torch-Struct (🥉19 · ⭐ 1.1K · 💤) - Fast, general, and tested differentiable structured.. MIT

Performer Pytorch (🥉19 · ⭐ 900 · 💤) - An implementation of Performer, a linear attention-.. MIT

Tensor Sensor (🥉16 · ⭐ 700 · 💤) - The goal of this library is to generate more helpful.. MIT

Show 17 hidden projects...
- pretrainedmodels (🥇31 · ⭐ 8.7K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,..
BSD-3
- pytorch-summary (🥇28 · ⭐ 3.7K · 💀) - Model summary in PyTorch similar to
model.summary()
..MIT
- pytorch-optimizer (🥈27 · ⭐ 2.6K · 💀) - torch-optimizer -- collection of optimizers for..
Apache-2
- EfficientNet-PyTorch (🥈26 · ⭐ 7.2K · 💀) - A PyTorch implementation of EfficientNet and..
Apache-2
- Torchmeta (🥈24 · ⭐ 1.7K · 💀) - A collection of extensions and data-loaders for few-shot..
MIT
- SRU (🥉23 · ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).
MIT
- EfficientNets (🥉23 · ⭐ 1.5K · 💀) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,..
Apache-2
- Higher (🥉23 · ⭐ 1.5K · 💀) - higher is a pytorch library allowing users to obtain higher..
Apache-2
- torchsde (🥉23 · ⭐ 1.1K · 💀) - Differentiable SDE solvers with GPU support and efficient..
Apache-2
- AdaBound (🥉20 · ⭐ 2.9K · 💀) - An optimizer that trains as fast as Adam and as good as SGD.
Apache-2
- Antialiased CNNs (🥉20 · ⭐ 1.6K · 💀) - pip install antialiased-cnns to improve stability and..
❗️CC BY-NC-SA 4.0
- Poutyne (🥉20 · ⭐ 530) - A simplified framework and utilities for PyTorch.
❗️LGPL-3.0
- pytorchviz (🥉18 · ⭐ 2.4K · 💀) - A small package to create visualizations of PyTorch execution..
MIT
- micrograd (🥉17 · ⭐ 3.3K · 💀) - A tiny scalar-valued autograd engine and a neural net library..
MIT
- Lambda Networks (🥉17 · ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to..
MIT
- Pywick (🥉15 · ⭐ 380 · 💀) - High-level batteries-included neural network training library for..
MIT
- TorchDrift (🥉14 · ⭐ 260) - Drift Detection for your PyTorch Models.
Apache-2
Libraries for connecting to, operating, and querying databases.
🔗 best-of-python - DB Clients ( ⭐ 2.6K) - Collection of database clients for python.
scipy (🥇49 · ⭐ 11K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
PyOD (🥇35 · ⭐ 6.5K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2
adapter-transformers (🥇34 · ⭐ 1.1K · 📈) - Huggingface Transformers + Adapters =. Apache-2
huggingface
PennyLane (🥈31 · ⭐ 1.6K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2
alibi-detect (🥈29 · ⭐ 1.6K) - Algorithms for outlier, adversarial and drift detection. Apache-2
anomalib (🥉27 · ⭐ 1.4K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
TabPy (🥉27 · ⭐ 1.3K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
metric-learn (🥉26 · ⭐ 1.3K) - Metric learning algorithms in Python. MIT

MONAILabel (🥉23 · ⭐ 340) - MONAI Label is an intelligent open source image labeling and.. Apache-2
Feature Engine (🥉22 · ⭐ 1.1K) - Feature engineering package with sklearn like functionality. BSD-3
StreamAlert (🥉21 · ⭐ 2.7K) - StreamAlert is a serverless, realtime data analysis framework.. Apache-2
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GitHub (👨💻 33 · 🔀 320 · 📋 340 - 24% open · ⏱️ 20.07.2022):
git clone https://github.com/airbnb/streamalert
benchmark_VAE (🥉21 · ⭐ 1.1K) - Unifying Generative Autoencoder implementations in.. Apache-2

SUOD (🥉19 · ⭐ 340) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2
traingenerator (🥉13 · ⭐ 1.2K) - A web app to generate template code for machine learning. MIT
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GitHub (👨💻 3 · 🔀 170 · 📋 16 - 81% open · ⏱️ 30.06.2022):
git clone https://github.com/jrieke/traingenerator
Show 19 hidden projects...
- agate (🥈31 · ⭐ 1.1K · 💀) - A Python data analysis library that is optimized for humans instead of..
MIT
- Cython BLIS (🥈31 · ⭐ 190) - Fast matrix-multiplication as a self-contained Python library no..
BSD-3
- cleanlab (🥈29 · ⭐ 4.3K) - The standard data-centric AI package for data quality and machine..
❗️AGPL-3.0
- pyclustering (🥉27 · ⭐ 1K · 💀) - pyclustering is a Python, C++ data mining library.
BSD-3
- minisom (🥉25 · ⭐ 1.2K) - MiniSom is a minimalistic implementation of the Self Organizing..
❗️CC-BY-3.0
- modAL (🥉24 · ⭐ 1.9K · 💀) - A modular active learning framework for Python.
MIT
- mlens (🥉22 · ⭐ 760 · 💀) - ML-Ensemble high performance ensemble learning.
MIT
- vecstack (🥉22 · ⭐ 670 · 💀) - Python package for stacking (machine learning technique).
MIT
- metricflow (🥉21 · ⭐ 710) - MetricFlow allows you to define, build, and maintain metrics in..
❗️AGPL-3.0
- rrcf (🥉21 · ⭐ 410 · 💀) - Implementation of the Robust Random Cut Forest algorithm for anomaly..
MIT
- opyrator (🥉20 · ⭐ 2.7K · 💀) - Turns your machine learning code into microservices with web API,..
MIT
- impyute (🥉20 · ⭐ 330 · 💀) - Data imputations library to preprocess datasets with missing data.
MIT
- scikit-rebate (🥉19 · ⭐ 370 · 💀) - A scikit-learn-compatible Python implementation of..
MIT
- pandas-ml (🥉19 · ⭐ 300 · 💀) - pandas, scikit-learn, xgboost and seaborn integration.
BSD-3
- pymdp (🥉19 · ⭐ 230) - A Python implementation of active inference for Markov Decision Processes.
MIT
- baikal (🥉18 · ⭐ 590 · 💀) - A graph-based functional API for building complex scikit-learn..
BSD-3
- apricot (🥉17 · ⭐ 450 · 💀) - apricot implements submodular optimization for the purpose of..
MIT
- NeuralCompression (🥉15 · ⭐ 290) - A collection of tools for neural compression enthusiasts.
MIT
- nylon (🥉12 · ⭐ 78 · 💀) - An intelligent, flexible grammar of machine learning.
MIT
- Papers With Code: Discover ML papers, code, and evaluation tables.
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- Google Dataset Search: Dataset search engine by Google.
- Dataset List: List of the biggest ML datasets from across the web.
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- Best-of lists: Discover other best-of lists with awesome open-source projects on all kinds of topics.
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