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Awesome Interpretable Machine Learning https://awesome.re/badge.svg

Opinionated list of resources facilitating model interpretability (introspection, simplification, visualization, explanation).

Interpretable Models

Feature Importance

Feature Selection

Model Explanations

Philosophy

Model Agnostic Explanations

Model Specific Explanations - Neural Networks

Extracting Interpretable Models From Complex Ones

Model Visualization

Selected Review Talks and Tutorials

Venues

Software

Software related to papers is mentioned along with each publication. Here only standalone software is included.

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  • Python 98.2%
  • Makefile 1.8%