https://github.com/slundberg/shap

A game theoretic approach to explain the output of any machine learning model.
https://github.com/slundberg/shap

deep-learning explainability gradient-boosting interpretability machine-learning shap shapley

Last synced: 13 days ago
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A game theoretic approach to explain the output of any machine learning model.

Host: GitHub
URL: https://github.com/slundberg/shap
Owner: shap
License: mit
Created: 2016-11-22T19:17:08.000Z (over 8 years ago)
Default Branch: master
Last Pushed: 2025-06-25T20:02:53.000Z (19 days ago)
Last Synced: 2025-06-25T21:19:30.119Z (19 days ago)
Topics: deep-learning, explainability, gradient-boosting, interpretability, machine-learning, shap, shapley
Language: Jupyter Notebook
Homepage: https://shap.readthedocs.io
Size: 279 MB
Stars: 24,039
Watchers: 245
Forks: 3,385
Open Issues: 701
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE

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