XAI¶
- Interpretable ML
- Interpretable ML with Python
- SHAP decision plot
- Making sense of Shapley values
- SHAP values and kernelexplainer
- Additive feature importances
- SHAP overview
- Explainer dashboard
- Shapash model explaining webapp
- Black box vs glass box models
- Interpretable Machine Learning book
- InterpretML
- Permutation feature importance
- Interpretation of Isolation Forest with
shap - Eli5
- SHAP vs ACV
- FastTreeSHAP: speed up SHAP values computation for tree-based models
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics