Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Keras | 57,659 | 330 | 4 hours ago | 68 | May 13, 2022 | 375 | apache-2.0 | Python | ||
Deep Learning for humans | ||||||||||
Scikit Learn | 53,438 | 18,944 | 6,722 | 4 hours ago | 64 | May 19, 2022 | 2,122 | bsd-3-clause | Python | |
scikit-learn: machine learning in Python | ||||||||||
Ml For Beginners | 45,278 | 7 days ago | 11 | mit | Jupyter Notebook | |||||
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all | ||||||||||
Made With Ml | 32,763 | 2 days ago | 5 | May 15, 2019 | 8 | mit | Jupyter Notebook | |||
Learn how to responsibly develop, deploy and maintain production machine learning applications. | ||||||||||
Spacy | 25,551 | 1,533 | 842 | a day ago | 196 | April 05, 2022 | 109 | mit | Python | |
💫 Industrial-strength Natural Language Processing (NLP) in Python | ||||||||||
Ray | 24,664 | 80 | 199 | 3 hours ago | 76 | June 09, 2022 | 2,949 | apache-2.0 | Python | |
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads. | ||||||||||
Ai Expert Roadmap | 24,033 | 24 days ago | 13 | mit | JavaScript | |||||
Roadmap to becoming an Artificial Intelligence Expert in 2022 | ||||||||||
Data Science Ipython Notebooks | 23,924 | 5 months ago | 26 | other | Python | |||||
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. | ||||||||||
Streamlit | 23,373 | 17 | 404 | 4 hours ago | 182 | July 27, 2022 | 629 | apache-2.0 | Python | |
Streamlit — The fastest way to build data apps in Python | ||||||||||
Applied Ml | 23,344 | a month ago | 4 | mit | ||||||
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. |
We are making a human curated index of easily accessible, comprehensive and up-to-date data sources, maintained and relevant programming libraries, and mission focussed open-source organisations to increase our awareness and ability to act on the climate emergency.
Before proposing changes, please read the CONTRIBUTING.MD
to understand in more depth what we are looking for.