Alternatives and similar repositories for MOO_Fairness

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

• cmu-transparency / aaai-2021-tutorial
  Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang
  ☆18Updated 4 years ago
• criteo-research / continuous-fairness
  ☆22Updated 6 years ago
• jjbrophy47 / dare_rf
  Machine Unlearning for Random Forests
  ☆21Updated last year
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 5 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated last year
• steven7woo / fair_regression_reduction
  General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.
  ☆16Updated 5 years ago
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆22Updated 5 years ago
• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆95Updated 2 months ago
• Daftstone / CIMI
  ☆28Updated 2 years ago
• zleizzo / datadeletion
  ☆14Updated 5 years ago
• divyat09 / cf-feasibility
  Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"
  ☆31Updated 2 years ago
• wuyinjun-1993 / DeltaGrad
  ☆31Updated 4 years ago
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆136Updated 11 months ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆73Updated 4 years ago
• ErdunGAO / FedDAG
  [TMLR23] FedDAG: Federated DAG Structure Learning
  ☆19Updated 3 years ago
• ZhiningLiu1998 / mesa
  [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
  ☆111Updated last year
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 5 years ago
• ahxt / fair_fairness_benchmark
  FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
  ☆31Updated last year
• brandeis-machine-learning / awesome-ml-fairness
  Papers and online resources related to machine learning fairness
  ☆75Updated 2 years ago
• charan223 / FairDeepLearning
  ☆37Updated 2 years ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆99Updated 11 months ago
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated 7 months ago
• yzeng58 / Improving-Fairness-via-Federated-Learning
  ☆13Updated 3 years ago
• cuis15 / FCFL
  ☆21Updated 3 years ago
• DPBayes / ADADP
  Learning rate adaptation for differentially private stochastic gradient descent
  ☆17Updated 4 years ago
• siplab-gt / generative-causal-explanations
  Code for "Generative causal explanations of black-box classifiers"
  ☆35Updated 5 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆56Updated last year
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆42Updated 2 years ago
• CompML / survey-distribution-shift
  Survey for Distribution Shift
  ☆19Updated 4 years ago
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆62Updated 4 years ago