Alternatives and similar repositories for awesome-ml-fairness:

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

• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆92Updated last year
• lucweytingh / ARL-UvA
  A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…
  ☆20Updated 4 years ago
• criteo-research / continuous-fairness
  ☆22Updated 5 years ago
• ahxt / fair_fairness_benchmark
  FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
  ☆28Updated last year
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆77Updated last year
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆118Updated last year
• EnyanDai / FairGNN
  A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…
  ☆64Updated last year
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆118Updated 2 months ago
• LFhase / GIA-HAO
  [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
  ☆38Updated last year
• EdisonLeeeee / Awesome-Fair-Graph-Learning
  Paper List for Fair Graph Learning (FairGL).
  ☆136Updated 7 months ago
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆65Updated 3 years ago
• isail-laboratory / iDEA-iSAIL-Reading-Group
  ☆26Updated 2 weeks ago
• charan223 / FairDeepLearning
  ☆37Updated 2 years ago
• OPTML-Group / Unlearn-WorstCase
  [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …
  ☆22Updated 7 months ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• meghdadk / SCRUB
  ☆44Updated 8 months ago
• davidchouzdw / iDEA-iSAIL-Reading-Group
  ☆2Updated 3 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆69Updated last year
• Cyrus9721 / Characterizing_graph_influence
  ☆9Updated 2 years ago
• sigeisler / robustness_of_gnns_at_scale
  This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).
  ☆30Updated last year
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆67Updated 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
• wujcan / GIF-torch
  ☆24Updated 2 years ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆96Updated 3 months ago
• ispamm / FairDrop
  ☆14Updated 3 years ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 3 years ago
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆21Updated 4 years ago
• AI4LIFE-GROUP / LLM_Explainer
  Code for paper: Are Large Language Models Post Hoc Explainers?
  ☆31Updated 9 months ago
• AdityaGolatkar / SelectiveForgetting
  ☆56Updated 4 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆85Updated 10 months ago