/XAI-Tutorials

Self-explanatory tutorials for different model-agnostic and model-specific XAI methods

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Tutorials for eXplainable Artificial Intelligence (XAI) methods

This repository contains a collection of self-explanatory tutorials for different model-agnostic and model-specific XAI methods. Each tutorial comes with a video lecture and practical exercises.

List of Tutorials for Model-Agnostic Methods

  • Permutation Feature Importance
  • SHapley Additive exPlanations (SHAP)
  • Local Interpretable Model-Agnostic Explanations

List of Tutorials for Model-Specific Methods

  • Forest-Guided Clustering
  • Grad-CAM