Alternatives and similar repositories for FairAI:

Users that are interested in FairAI are comparing it to the libraries listed below

• brandeis-machine-learning / awesome-ml-fairness
  Papers and online resources related to machine learning fairness
  ☆72Updated last year
• charan223 / FairDeepLearning
  ☆37Updated 2 years ago
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆53Updated 6 years ago
• choprashweta / Adversarial-Debiasing
  Implementation of Adversarial Debiasing in PyTorch to address Gender Bias
  ☆31Updated 4 years ago
• ahxt / fair_fairness_benchmark
  FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
  ☆28Updated 11 months ago
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆189Updated 3 years ago
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆74Updated 2 years ago
• datamllab / awesome-fairness-in-ai
  A curated list of awesome Fairness in AI resources
  ☆320Updated last year
• criteo-research / continuous-fairness
  ☆22Updated 5 years ago
• debmandal / causality-fairness
  References for Papers at the Intersection of Causality and Fairness
  ☆18Updated 6 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 4 years ago
• steven7woo / fair_regression_reduction
  General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.
  ☆15Updated 4 years ago
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆71Updated last year
• VectorInstitute / laftr
  Learning Adversarially Fair and Transferable Representations
  ☆54Updated 6 years ago
• uvanlp / valda
  A Python Data Valuation Package
  ☆30Updated 2 years ago
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆21Updated 4 years ago
• lucweytingh / ARL-UvA
  A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…
  ☆20Updated 4 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆77Updated last year
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆118Updated 2 months ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆261Updated 11 months ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated last year
• ryokamoi / pytorch_influence_functions
  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…
  ☆16Updated 4 years ago
• yuji-roh / fr-train
  FR-Train: A Mutual Information-Based Approach to Fair and Robust Training (ICML 2020)
  ☆13Updated 3 years ago
• uva-fact-ai-course / uva-fact-ai-course
  This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accou…
  ☆33Updated 2 years ago
• kohpangwei / group-influence-release
  ☆50Updated 2 years ago
• iancovert / fastshap
  An amortized approach for calculating local Shapley value explanations
  ☆97Updated last year
• ermongroup / lag-fairness
  ☆22Updated 6 years ago
• yolomeus / DMLab2020VFAE
  Data Mining Lab 2020. The Variational Fair Autoencoder.
  ☆15Updated 2 years ago