interpretable-machine-learning

Fit interpretable models. Explain blackbox machine learning.

A curated list of awesome responsible machine learning resources.

Generate Diverse Counterfactual Explanations for any machine learning model.

moDel Agnostic Language for Exploration and eXplanation

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

[CONTRIBUTORS WELCOME] Generalized Additive Models in Python

OmniXAI: A Library for eXplainable AI

Shapley Interactions and Shapley Values for Machine Learning

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.