Alternatives and similar repositories for fair_fairness_benchmark

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

• criteo-research / continuous-fairness
  ☆22Updated 6 years ago
• brandeis-machine-learning / awesome-ml-fairness
  Papers and online resources related to machine learning fairness
  ☆72Updated 2 years ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆98Updated 4 months ago
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆21Updated 4 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆88Updated 11 months 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
• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆94Updated last year
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆119Updated last year
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆78Updated last year
• guanchuwang / SHEAR
  Towards Efficient Shapley Value Estimation via Cross-contribution Maximization
  ☆14Updated 2 years ago
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆118Updated 3 months ago
• Cyrus9721 / Characterizing_graph_influence
  ☆9Updated 2 years ago
• 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
• nsfzyzz / loss_landscape_taxonomy
  [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228
  ☆19Updated 3 years ago
• isail-laboratory / iDEA-iSAIL-Reading-Group
  ☆26Updated last month
• AI4LIFE-GROUP / LLM_Explainer
  Code for paper: Are Large Language Models Post Hoc Explainers?
  ☆31Updated 10 months ago
• wujcan / GIF-torch
  ☆24Updated 2 years ago
• devnkong / GOAT
  Official implementation of GOAT model (ICML2023)
  ☆37Updated last year
• 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
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• uvanlp / valda
  A Python Data Valuation Package
  ☆30Updated 2 years ago
• steven7woo / fair_regression_reduction
  General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.
  ☆16Updated 4 years ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆69Updated last year
• meghdadk / SCRUB
  ☆44Updated 9 months 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
• skezle / sava
  Scalable data valuation using optimal transport (ICLR 2025)
  ☆12Updated last year
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆65Updated 3 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• ZhaoxuanWu / DAVINZ-DataValuation
  Training-free data valuation on deep neural network applications. (ICML-2022)
  ☆24Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆66Updated 2 years ago