ml-bias-fairness

A Python package to assess and improve fairness of machine learning models.

An experimental platform for federated learning.

Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

Collaborative text editor (like Google Docs or CoderPad) with integrated semi-anonymizing voice chat intended to help reduce bias in technical communication.

The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

Paper List for Fair Graph Learning (FairGL).

A library that implements fairness-aware machine learning algorithms

A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.

Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper