A curated list of awesome responsible machine learning resources.
A comprehensive set of fairness metrics for datasets and machine learnin...
A Python package to assess and improve fairness of machine learning models.
moDel Agnostic Language for Exploration and eXplanation
Gno: An interpreted, stack-based Go virtual machine to build succinct an...
Examples of techniques for training interpretable ML models, explaining ...
Bias Auditing & Fair ML Toolkit
H2O.ai Machine Learning Interpretability Resources
An experimental platform to quickly realize and compare with popular cen...
A curated list of trustworthy deep learning papers. Daily updating...
Conformalized Quantile Regression
Python code for training fair logistic regression classifiers.
Code for using CDEP from the paper "Interpretations are useful: penalizi...
A library that implements fairness-aware machine learning algorithms