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Awesome Opensource Ai
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
alvinreal/awesome-opensource-ai
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GitHub stars and default-branch commits for alvinreal/awesome-opensource-ai.
Latest scan 2026-07-17 10:49
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shap/shap
A game theoretic approach to explain the output of any machine learning model.
AI dev
- Updated
- 2026-07-15
- Lists
- 2 list mentions
- First commit
- 2016-11-22
- License
- MIT
- Issues
- 1,038 open
25,615
stars
- Forks
- 3,729
- Commits
- 3,027 commits
- Star growth, last 7 days
- 0 0.0%
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- 0 0.0%
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
AI dev
- Updated
- 2026-07-13
- Lists
- 3 list mentions
- First commit
- 2019-05-03
- License
- MIT
- Issues
- 48 open
6,895
stars
- Forks
- 781
- Commits
- 3,967 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
meta-pytorch/captum
Model interpretability and understanding for PyTorch
- Updated
- 2026-07-15
- Lists
- 1 list mention
- First commit
- 2019-08-27
- License
- BSD-3-Clause
- Issues
- 66 open
5,669
stars
- Forks
- 561
- Commits
- 1,552 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
- Updated
- 2026-07-09
- Lists
- 2 list mentions
- First commit
- 2020-05-29
- License
- Apache-2.0
- Issues
- 47 open
3,242
stars
- Forks
- 388
- Commits
- 1,991 commits
- Star growth, last 7 days
- 0 0.0%
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- 0 0.0%
microsoft/responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Stack
- Updated
- 2026-04-29
- Lists
- 1 list mention
- First commit
- 2020-07-06
- License
- MIT
- Issues
- 96 open
1,802
stars
- Forks
- 484
- Commits
- 1,985 commits
- Star growth, last 7 days
- 0 0.0%
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- 0 0.0%
EthicalML/xai
XAI - An eXplainability toolbox for machine learning
GitHub topics
- Updated
- 2025-11-29
- Lists
- 1 list mention
- First commit
- 2018-12-09
- License
- MIT
- Issues
- 0 open
1,253
stars
- Forks
- 186
- Commits
- 101 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%