Alternatives and similar repositories for awesome-fairness-in-ai

Users that are interested in awesome-fairness-in-ai are comparing it to the libraries listed below

• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆94Updated last year
• hbaniecki / adversarial-explainable-ai
  💡 Adversarial attacks on explanations and how to defend them
  ☆315Updated 6 months ago
• google / ml-fairness-gym
  ☆314Updated 2 years ago
• brandeis-machine-learning / awesome-ml-fairness
  Papers and online resources related to machine learning fairness
  ☆72Updated 2 years ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆159Updated 2 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆263Updated last year
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆189Updated 3 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆247Updated 9 months ago
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆71Updated last year
• MinghuiChen43 / awesome-trustworthy-deep-learning
  A curated list of trustworthy deep learning papers. Daily updating...
  ☆368Updated this week
• rehmanzafar / xai-iml-sota
  Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…
  ☆72Updated 2 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆109Updated last year
• SinaMohseni / Awesome-XAI-Evaluation
  Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
  ☆74Updated 3 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆124Updated 4 years ago
• alexandrainst / responsible-ai
  Responsible AI knowledge base
  ☆103Updated 2 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
• altamiracorp / awesome-xai
  Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
  ☆163Updated 4 years ago
• stefanoteso / awesome-explanatory-supervision
  List of relevant resources for machine learning from explanatory supervision
  ☆157Updated 4 months ago
• choprashweta / Adversarial-Debiasing
  Implementation of Adversarial Debiasing in PyTorch to address Gender Bias
  ☆31Updated 4 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆117Updated 4 years ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆289Updated last year
• P2333 / Papers-of-Robust-ML
  Related papers for robust machine learning
  ☆568Updated 2 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 4 years ago
• charan223 / FairDeepLearning
  ☆37Updated 2 years ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆132Updated last year
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆220Updated last year
• davidstutz / pytorch-adversarial-examples-training-articles
  PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.
  ☆68Updated 2 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆565Updated last year
• riccotti / LORE
  LOcal Rule-based Exlanations
  ☆52Updated last year