Alternatives and similar repositories for fair-classification

Users that are interested in fair-classification are comparing it to the libraries listed below

• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆159Updated 2 years ago
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆54Updated 6 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆263Updated last year
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆117Updated 4 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 4 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 4 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆71Updated last year
• Jianbo-Lab / L2X
  ☆125Updated 4 years ago
• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆94Updated last year
• google / ml-fairness-gym
  ☆315Updated 2 years ago
• algowatchpenn / GerryFair
  library for fair auditing and learning of classifiers with respect to rich subgroup fairness.
  ☆32Updated 5 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆124Updated 4 years ago
• riccotti / LORE
  LOcal Rule-based Exlanations
  ☆53Updated last year
• nikikilbertus / blind-justice
  Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018
  ☆14Updated 6 years ago
• lydiatliu / delayedimpact
  Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)
  ☆14Updated 2 years ago
• columbia / fairtest
  ☆58Updated 4 years ago
• VectorInstitute / laftr
  Learning Adversarially Fair and Transferable Representations
  ☆54Updated 6 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• charliemarx / pmtools
  ☆9Updated 4 years ago
• debmandal / causality-fairness
  References for Papers at the Intersection of Causality and Fairness
  ☆18Updated 6 years ago
• algofairness / BlackBoxAuditing
  Research code for auditing and exploring black box machine-learning models.
  ☆132Updated 2 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• d909b / cxplain
  Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
  ☆131Updated 4 years ago
• socialfoundations / error-parity
  Achieve error-rate fairness between societal groups for any score-based classifier.
  ☆17Updated last year
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆137Updated last year
• BeenKim / MMD-critic
  ☆134Updated 5 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• criteo-research / continuous-fairness
  ☆22Updated 6 years ago