fairness-ml topic
fairgbm
Train Gradient Boosting models that are both high-performance *and* Fair!
mcboost
Multi-Calibration & Multi-Accuracy Boosting for R
EthicML
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
Metric-Fairness
EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
TERM
Tilted Empirical Risk Minimization (ICLR '21)
dsit
Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
responsibly
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
synthcity
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
responsible-ai-workshop
Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice
bold
Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper