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.

Python code for training fair logistic regression classifiers.

Fair ML in credit scoring: Assessment, implementation and profit implications

Some @scikit-learn compatible tools to address fairness issues in classification problems.