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Awesome Machine Learning
A curated list of awesome Machine Learning frameworks, libraries and software.
josephmisiti/awesome-machine-learning
- List stars
- 74,596
- README repos
- 887
- Indexed repos
- 149
- List commits
- -
- Forks
- 15,677
- Open issues
- 23
Tracked list growth
GitHub stars and default-branch commits for josephmisiti/awesome-machine-learning.
Latest scan 2026-10-17 10:50
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fastai/fastai
The fastai deep learning library
Stack
GitHub topics
- Updated
- 2026-09-09
- Lists
- 2 list mentions
- First commit
- 2019-11-23
- License
- Apache-2.0
- Issues
- 269 open
28,133
stars
- Forks
- 7,639
- Commits
- 2,945 commits
- Star growth, last 7 days
- No 7-day history
- Commit velocity, last 7 days
- No 7-day history
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Stack
- Updated
- 2025-11-23
- Lists
- 2 list mentions
- First commit
- 2018-11-01
- License
- MIT
- Issues
- 30 open
24,783
stars
- Forks
- 4,189
- Commits
- 255 commits
- Star growth, last 7 days
- No 7-day history
- Commit velocity, last 7 days
- No 7-day history
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Stack
GitHub topics
- Updated
- 2025-09-11
- Lists
- 2 list mentions
- First commit
- 2023-03-24
- License
- LGPL-3.0
- Issues
- 311 open
10,055
stars
- Forks
- 1,559
- Commits
- 551 commits
- Star growth, last 7 days
- No 7-day history
- Commit velocity, last 7 days
- No 7-day history
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- Updated
- 2026-08-31
- Lists
- 5 list mentions
- First commit
- 2020-11-25
- License
- Apache-2.0
- Issues
- 303 open
7,898
stars
- Forks
- 914
- Commits
- 2,795 commits
- Star growth, last 7 days
- No 7-day history
- Commit velocity, last 7 days
- No 7-day history
h2oai/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
AI dev
Stack
GitHub topics
- Updated
- 2026-09-25
- Lists
- 3 list mentions
- First commit
- 2014-03-03
- License
- Apache-2.0
- Issues
- 2,852 open
7,509
stars
- Forks
- 2,019
- Commits
- 32,845 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
skorch-dev/skorch
A scikit-learn compatible neural network library that wraps PyTorch
Stack
GitHub topics
- Updated
- 2026-09-08
- Lists
- 3 list mentions
- First commit
- 2017-07-18
- License
- BSD-3-Clause
- Issues
- 63 open
6,179
stars
- Forks
- 417
- Commits
- 1,148 commits
- Star growth, last 7 days
- No 7-day history
- Commit velocity, last 7 days
- No 7-day history
ml-tooling/ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stack
GitHub topics
- Updated
- 2024-07-26
- Lists
- 3 list mentions
- First commit
- 2019-05-27
- License
- Apache-2.0
- Issues
- 0 open
3,546
stars
- Forks
- 456
- Commits
- 847 commits
- Star growth, last 7 days
- No 7-day history
- Commit velocity, last 7 days
- No 7-day history
MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
- Updated
- 2026-09-08
- Lists
- 2 list mentions
- First commit
- 2020-05-29
- License
- Apache-2.0
- Issues
- 54 open
3,254
stars
- Forks
- 387
- Commits
- 2,066 commits
- Star growth, last 7 days
- No 7-day history
- Commit velocity, last 7 days
- No 7-day history
yandex/rep
Machine Learning toolbox for Humans
Stack
- Updated
- 2024-07-31
- Lists
- 2 list mentions
- First commit
- 2015-04-14
- License
- NOASSERTION
- Issues
- 34 open
699
stars
- Forks
- 144
- Commits
- 975 commits
- Star growth, last 7 days
- No 7-day history
- Commit velocity, last 7 days
- No 7-day history
AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
Stack
GitHub topics
- Updated
- 2021-09-22
- Lists
- 2 list mentions
- First commit
- 2015-07-30
- License
- MIT
- Issues
- 20 open
- Forks
- 117
- Commits
- 550 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%