A game theoretic approach to explain the output of any machine learning model.
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🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Model interpretability and understanding for PyTorch
Fit interpretable models. Explain blackbox machine learning.
Algorithms for explaining machine learning models
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
