A game theoretic approach to explain the output of any machine learning model.
updated at April 28, 2024, 3:23 p.m.
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Source code/webpage/demos for the What-If Tool
updated at April 28, 2024, 9:51 a.m.
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XAI - An eXplainability toolbox for machine learning
updated at April 26, 2024, 6:55 p.m.
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🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
updated at April 26, 2024, 7:52 a.m.
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