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

moDel Agnostic Language for Exploration and eXplanation

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

Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.

• data-science
• model-explanation