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aaai-fairrec

Fairrec: fairness-aware news recommendation with decomposed adversarial learning

alda

Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.

arl-uva

A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demographics through Adversarially Reweighted Learning".

awesome-fairness-in-ai

A curated list of awesome Fairness in AI resources

cdcl-based-sat-solver

Implementation of basic CDCL-based SAT solver in Python

cdcl-sat-solver

A CDCL SAT solver implemented in Java.

eidig

Source code, datasets and models of the paper "Efficient White-box Fairness Testing through Gradient Search" by Lingfeng Zhang, Yueling Zhang, Min Zhang in ISSTA'21.

fair-ml-4-ethical-ai

Fair Statistical Learning Algorithms for Ethical Artificial Intelligence

fair_erm

Fair Empirical Risk Minimization (FERM)

fair_regression_reduction

General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.

fairgan

FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback

fairness-testing

fairness-without-demographics-through-adversarially-reweighted-learning

forhardsat

The data and programs stored in this repository are to prove the authenticity and validity of the experiments of the algorithm mentioned in the paper which was sent to knowledge-based systems. So we just only put all programs and test data in a zip file. In the zip file,'SelectNS' is our solver which mentioned in the paper.

minisat

nosqlhomework

pysat

Simple SAT solver with CDCL implemented in Python

research-sat-solvers

Comparison of modern and competitive SAT solvers

wasserstein_fairness

An implementation of Wasserstein Fair Classification, a conference paper submitted to UAI 2019.

zhang-et-al-mitigating-unwanted-biases-with-adversarial-learning