Repository Index

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

• ai
• fairness-ai
• fairness
• fairness-testing

A library for debugging/inspecting machine learning classifiers and explaining their predictions

• scikit-learn
• machine-learning
• xgboost
• lightgbm

Algorithms for explaining machine learning models

• machine-learning
• explanations
• interpretability
• counterfactual

moDel Agnostic Language for Exploration and eXplanation

• machine-learning
• interpretability
• data-science
• xai

Code for "High-Precision Model-Agnostic Explanations" paper

Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University

• interpretability
• machine-learning
• contrastive-explanations
• foil