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Topic: explainability
shap/shap
A game theoretic approach to explain the output of any machine learning model.
Jupyter Notebook
#deep-learning#explainability#gradient-boosting#interpretability#machine-learning
AI dev signals
2 awesome lists
2998 commits
3 history points
updated 2026-05-23
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
C++
#ai#artificial-intelligence#bias#blackbox#differential-privacy
AI dev signals
3 awesome lists
3965 commits
3 history points
updated 2026-05-25
MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Jupyter Notebook
#ethical-artificial-intelligence#explainability#explainable-ml#interpretability#lime
2 awesome lists
1903 commits
1 history point
updated 2026-05-23
CodeBoarding/CodeBoarding
Interactive architecture diagrams for codebases
Python
FastAPILangChainpytest
CargoComposer.NET SDK
#agents#aiagentic#codedocs#codedocumentator#explainability
AI dev signals
0 awesome lists
396 commits
first commit 2025-04-08
1 history point
updated 2026-05-31
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.
TypeScript
#data-analysis#data-science#data-visualization#error-analysis#explainability
1 awesome list
1985 commits
1 history point
updated 2026-04-29
EthicalML/xai
XAI - An eXplainability toolbox for machine learning
Python
#ai#artificial-intelligence#bias#bias-evaluation#downsampling
1 awesome list
101 commits
1 history point
updated 2025-11-29