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.
  ☆94Updated 2 weeks ago
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆133Updated 9 months ago
• MinghuiChen43 / awesome-trustworthy-deep-learning
  A curated list of trustworthy deep learning papers. Daily updating...
  ☆376Updated 2 weeks 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
• ahxt / fair_fairness_benchmark
  FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
  ☆30Updated last year
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆123Updated 2 years ago
• criteo-research / continuous-fairness
  ☆22Updated 6 years ago
• meghdadk / SCRUB
  ☆49Updated last year
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆99Updated 9 months 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, …
  ☆23Updated 5 months ago
• wujcan / GIF-torch
  ☆26Updated 3 years ago
• datamllab / awesome-fairness-in-ai
  A curated list of awesome Fairness in AI resources
  ☆329Updated 2 years ago
• LFhase / GIA-HAO
  [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
  ☆38Updated last year
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆22Updated 5 years ago
• isail-laboratory / iDEA-iSAIL-Reading-Group
  ☆34Updated last week
• EdisonLeeeee / Awesome-Fair-Graph-Learning
  Paper List for Fair Graph Learning (FairGL).
  ☆142Updated last year
• YaoRujing / Data-Optimization
  Data Optimization in Deep Learning: A Survey
  ☆19Updated 2 years ago
• zhaohan-xi / GraphBackdoor
  ☆58Updated 3 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆83Updated last year
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆81Updated last year
• tmlr-group / MC-GRA
  [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"
  ☆34Updated 2 years ago
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆69Updated 4 years ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated 2 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆51Updated 4 years ago
• lmgraves / AmnesiacML
  Methods for removing learned data from neural nets and evaluation of those methods
  ☆38Updated 4 years ago
• AdityaGolatkar / SelectiveForgetting
  ☆58Updated 5 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆72Updated last year
• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆182Updated last year
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆91Updated last year