Alternatives and similar repositories for fair_clustering

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

• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆192Updated 3 years ago
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated 2 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆88Updated 3 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 5 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆273Updated last year
• Jianbo-Lab / L2X
  ☆125Updated 4 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆85Updated 3 years ago
• amiratag / DataShapley
  Data Shapley: Equitable Valuation of Data for Machine Learning
  ☆281Updated last year
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆160Updated 2 years ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆130Updated 2 years ago
• dmadras / predict-responsibly
  ☆14Updated last year
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆107Updated last year
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆71Updated 4 years ago
• iancovert / fastshap
  An amortized approach for calculating local Shapley value explanations
  ☆104Updated 2 years ago
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆56Updated 7 years ago
• aida-ugent / fairret
  A fairness library in PyTorch.
  ☆32Updated last year
• chenhongge / RobustTrees
  [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
  ☆68Updated 5 months ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆70Updated 2 years ago
• dtak / rrr
  Code/figures in Right for the Right Reasons
  ☆57Updated 4 years ago
• max-andr / provably-robust-boosting
  Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
  ☆50Updated 5 years ago
• chenhongge / treeVerification
  [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…
  ☆27Updated 6 years ago
• algowatchpenn / GerryFair
  library for fair auditing and learning of classifiers with respect to rich subgroup fairness.
  ☆32Updated 6 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆77Updated 4 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆119Updated 4 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆110Updated 2 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 7 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated last year