LangFair
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases - Published in JOSS (2025)
mcboost
mcboost: Multi-Calibration Boosting for R - Published in JOSS (2021)
RSMTool
RSMTool: collection of tools building and evaluating automated scoring models - Published in JOSS (2016)
FAT Forensics
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems - Published in JOSS (2020)
fairlearn
A Python package to assess and improve fairness of machine learning models.
howfairis
Command line tool to analyze a GitHub or GitLab repository's compliance with the fair-software.eu recommendations
aif360
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.
ethicml
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
thetis
Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects.
dynamic-clearing
[WWW 2023] Official code release for "Dynamic Interventions for Networked Contagions"
https://github.com/csinva/matching-with-gans
Matching in GAN latent space for better bias benchmarking and semantic image editing. 👶🏻🧒🏾👩🏼🦰👱🏽♂️👴🏾
https://github.com/aida-ugent/fipr
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer (ECML-PKDD 2021).
vlslice
Code for the 2023 ICCV paper "VLSlice: Interactive Vision-and-Language Slice Discovery."
image-crop-analysis
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
folktexts
Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!
sd-fair-mod
Supplemental material for paper "Fair-mod: Fair Modular Community Detection"
pre-em-bias
Official implementation of the IEEE Big Data 2024 paper "Evaluating Blocking Biases in Entity Matching"
califair-em
Official implementation of GUIDE-AI @ SIGMOD paper "Threshold-Independent Fair Matching through Score Calibration"
bayesian-optimization-1d-csnn
Source code of the paper entitled "Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks through Bayesian Optimization", and presented at EPIA 2024, the 23rd International Conference on Artificial Intelligence.
financial-contagion
[WWW 2022] Supplementary Code for "Allocating Stimulus Checks in Times of Crisis"
https://github.com/aida-ugent/debayes
DeBayes: a Bayesian Method for Debiasing Network Embeddings (ICML 2020).