XAI - An eXplainability toolbox for machine learning
updated at May 17, 2024, 7:35 a.m.
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Source code/webpage/demos for the What-If Tool
updated at May 18, 2024, 10 p.m.
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A game theoretic approach to explain the output of any machine learning model.
updated at May 18, 2024, 10:23 p.m.
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🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
updated at May 19, 2024, 2:54 a.m.
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