Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Machine Learning With Python | 2,980 | a year ago | 8 | bsd-2-clause | Jupyter Notebook | |||||
Practice and tutorial-style notebooks covering wide variety of machine learning techniques | ||||||||||
Ai_all_resources | 647 | 6 months ago | 1 | Jupyter Notebook | ||||||
A curated list of Best Artificial Intelligence Resources | ||||||||||
Compendium Of Free Ml Reading Resources | 106 | 4 months ago | ||||||||
Compendium of free ML reading resources | ||||||||||
Betaml.jl | 83 | 3 months ago | 7 | mit | Julia | |||||
Beta Machine Learning Toolkit | ||||||||||
Droiddetective | 56 | 2 years ago | gpl-3.0 | Python | ||||||
A machine learning malware analysis framework for Android apps. | ||||||||||
Aiml Projects | 44 | 3 years ago | mit | Jupyter Notebook | ||||||
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning | ||||||||||
Icc 2019 Wc Prediction | 39 | 3 years ago | mit | Jupyter Notebook | ||||||
Predicting the winner of 2019 cricket world cup using random forest algorithm | ||||||||||
Disentangled Attribution Curves | 23 | 3 years ago | mit | Python | ||||||
Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees" | ||||||||||
Shapley_regressions | 22 | 5 years ago | other | Python | ||||||
Statistical inference on machine learning or general non-parametric models | ||||||||||
Emotion Prediction With Quantum5 Neural Network Ai Machine Learning | 13 | 2 years ago | gpl-3.0 | Jupyter Notebook | ||||||
Emotion Prediction with Semi Supervised Learning of Machine Learning Software with RC Algorithm - By Emirhan BULUT Emotion-Prediction-with-Quantum5-Neural-Network-AI-Machine-Learning |