yongkaiwu / FairAILinks
This is a collection of papers and other resources related to fairness.
☆94Updated 3 weeks ago
Alternatives and similar repositories for FairAI
Users that are interested in FairAI are comparing it to the libraries listed below
Sorting:
- Papers and online resources related to machine learning fairness☆74Updated 2 years ago
- A curated list of awesome Fairness in AI resources☆329Updated 2 years ago
- ☆37Updated 2 years ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆135Updated 9 months ago
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 4 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 10 months ago
- Implementation of Adversarial Debiasing in PyTorch to address Gender Bias☆31Updated 5 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆77Updated 3 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 5 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- ☆22Updated 6 years ago
- FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.☆30Updated last year
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆98Updated 2 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 5 years ago
- Implementation of Minimax Pareto Fairness framework☆22Updated 5 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆17Updated 5 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆83Updated last year
- A simple PyTorch implementation of influence functions.☆91Updated last year
- List of relevant resources for machine learning from explanatory supervision☆161Updated 4 months ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 7 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆75Updated 3 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆343Updated 2 years ago
- Python code for training fair logistic regression classifiers.☆192Updated 3 years ago
- Distributionally robust neural networks for group shifts☆286Updated 2 years ago
- A repository for summaries of recent explainable AI/Interpretable ML approaches☆87Updated last year
- A curated list of trustworthy deep learning papers. Daily updating...☆378Updated this week
- Code for "Generative causal explanations of black-box classifiers"☆35Updated 4 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆56Updated 7 years ago
- An amortized approach for calculating local Shapley value explanations☆103Updated 2 years ago