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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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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
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- 781
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- 3,967 commits
- Star growth, last 7 days
- 0 0.0%
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truera/trulens
Evaluation and Tracking for LLM Experiments and AI Agents
AI dev
GitHub topics
- Updated
- 2026-07-11
- Lists
- 2 list mentions
- First commit
- 2020-11-13
- License
- MIT
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- 110 open
3,438
stars
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- 311
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- 1,755 commits
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MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
- Updated
- 2026-07-09
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- 2 list mentions
- First commit
- 2020-05-29
- License
- Apache-2.0
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- 47 open
3,242
stars
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- 388
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- 1,991 commits
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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
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- 2026-04-29
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- 1 list mention
- First commit
- 2020-07-06
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- MIT
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- 96 open
1,802
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- 484
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- 1,985 commits
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Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
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- 2026-05-22
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- 2 list mentions
- First commit
- 2019-07-11
- License
- Apache-2.0
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- 57 open
1,787
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- 325
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- 633 commits
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EthicalML/xai
XAI - An eXplainability toolbox for machine learning
GitHub topics
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- 2025-11-29
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- First commit
- 2018-12-09
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- MIT
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- 0 open
1,253
stars
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- 186
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- 101 commits
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- 0 0.0%
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