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.
  ☆95Updated 2 years ago
• hbaniecki / adversarial-explainable-ai
  💡 Adversarial attacks on explanations and how to defend them
  ☆327Updated 9 months ago
• rehmanzafar / xai-iml-sota
  Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…
  ☆74Updated 2 years ago
• brandeis-machine-learning / awesome-ml-fairness
  Papers and online resources related to machine learning fairness
  ☆73Updated 2 years ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆247Updated last year
• google / ml-fairness-gym
  ☆316Updated 2 years ago
• anguyen8 / XAI-papers
  ☆602Updated 2 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆268Updated last year
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆110Updated 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)
  ☆83Updated 2 years ago
• SinaMohseni / Awesome-XAI-Evaluation
  Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
  ☆74Updated 3 years ago
• stefanoteso / awesome-explanatory-supervision
  List of relevant resources for machine learning from explanatory supervision
  ☆159Updated 2 months ago
• choprashweta / Adversarial-Debiasing
  Implementation of Adversarial Debiasing in PyTorch to address Gender Bias
  ☆31Updated 5 years ago
• pbiecek / xai_resources
  Interesting resources related to XAI (Explainable Artificial Intelligence)
  ☆837Updated 3 years ago
• MinghuiChen43 / awesome-trustworthy-deep-learning
  A curated list of trustworthy deep learning papers. Daily updating...
  ☆373Updated 3 weeks ago
• P2333 / Papers-of-Robust-ML
  Related papers for robust machine learning
  ☆567Updated 2 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆917Updated 2 years ago
• wangyongjie-ntu / Awesome-explainable-AI
  A collection of research materials on explainable AI/ML
  ☆1,552Updated 2 months ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆118Updated 4 years ago
• MadryLab / robustness
  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
  ☆946Updated last year
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆72Updated 2 years ago
• steven7woo / fair_regression_reduction
  General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.
  ☆16Updated 5 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆574Updated last year
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆132Updated 2 years ago
• charan223 / FairDeepLearning
  ☆37Updated 2 years ago
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆125Updated 6 months ago
• ankurtaly / Integrated-Gradients
  Attributing predictions made by the Inception network using the Integrated Gradients method
  ☆637Updated 3 years ago
• amiratag / ACE
  Towards Automatic Concept-based Explanations
  ☆160Updated last year
• nimarb / pytorch_influence_functions
  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…
  ☆339Updated last year