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.

Hyperparameter Experiments with TensorFlow and Keras

moDel Agnostic Language for Exploration and eXplanation

Bias Auditing & Fair ML Toolkit

Python code for training fair logistic regression classifiers.

Deep learning for clustering of multivariate short time series with potentially many missing values