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)
  ☆53Updated 6 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆261Updated 11 months ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 4 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 4 years ago
• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆92Updated last year
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆71Updated last year
• 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
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• google / ml-fairness-gym
  ☆314Updated 2 years ago
• riccotti / LORE
  LOcal Rule-based Exlanations
  ☆53Updated last year
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• algofairness / BlackBoxAuditing
  Research code for auditing and exploring black box machine-learning models.
  ☆132Updated last year
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• Jianbo-Lab / L2X
  ☆125Updated 3 years ago
• algowatchpenn / GerryFair
  library for fair auditing and learning of classifiers with respect to rich subgroup fairness.
  ☆32Updated 5 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 3 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
• charliemarx / pmtools
  ☆9Updated 4 years ago
• VectorInstitute / laftr
  Learning Adversarially Fair and Transferable Representations
  ☆54Updated 6 years ago
• BeenKim / MMD-critic
  ☆134Updated 5 years ago
• zjelveh / learning-fair-representations
  Python numba implementation of Zemel et al. 2013
  ☆26Updated 4 years ago
• MarcelRobeer / ContrastiveExplanation
  Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
  ☆45Updated 2 years ago
• talwagner / fair_clustering
  ☆20Updated 6 years ago
• nikikilbertus / blind-justice
  Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018
  ☆14Updated 6 years ago
• charan223 / FairDeepLearning
  ☆37Updated 2 years ago
• debmandal / causality-fairness
  References for Papers at the Intersection of Causality and Fairness
  ☆18Updated 6 years ago