Alternatives and similar repositories for error-parity

Users that are interested in error-parity are comparing it to the libraries listed below

• socialfoundations / folktables
  Datasets derived from US census data
  ☆276Updated last year
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆191Updated 4 years ago
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆55Updated 7 years ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆161Updated 3 years ago
• steven7woo / fair_regression_reduction
  General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.
  ☆16Updated 5 years ago
• algowatchpenn / GerryFair
  library for fair auditing and learning of classifiers with respect to rich subgroup fairness.
  ☆32Updated 6 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 5 years ago
• oxfordinternetinstitute / oxonfair
  Fairness toolkit for pytorch, scikit learn and autogluon
  ☆33Updated 2 months ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆252Updated last year
• klasnja / HeartStepsV1
  Data from the HeartSteps V1 study
  ☆19Updated 2 years ago
• aai-institute / pyDVL
  pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
  ☆142Updated 2 weeks ago
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated 2 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆85Updated 3 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 5 years ago
• debmandal / causality-fairness
  References for Papers at the Intersection of Causality and Fairness
  ☆18Updated 7 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆88Updated 3 years ago
• VectorInstitute / laftr
  Learning Adversarially Fair and Transferable Representations
  ☆56Updated 7 years ago
• interpretml / fastSparse
  ☆24Updated 2 years ago
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆19Updated 2 years ago
• janezd / baycomp
  ☆75Updated last year
• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆95Updated 2 months ago
• datamllab / awesome-fairness-in-ai
  A curated list of awesome Fairness in AI resources
  ☆332Updated 2 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆86Updated 4 years ago
• talwagner / fair_clustering
  ☆20Updated 6 years ago
• aida-ugent / fairret
  A fairness library in PyTorch.
  ☆32Updated last year
• virelay / corelay
  CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.
  ☆29Updated 6 months ago
• alan-turing-institute / tapas
  ☆39Updated 2 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆77Updated 3 years ago
• saist1993 / fairgrad
  FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.
  ☆14Updated 2 years ago