Alternatives and similar repositories for ml-bias-fairness:

Users that are interested in ml-bias-fairness are comparing it to the libraries listed below

• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆70Updated last year
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆160Updated 2 years ago
• ResponsiblyAI / responsibly
  Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
  ☆96Updated 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 3 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆74Updated 4 years ago
• slanglab / twitteraae
  Code for Blodgett et al. 2016, Demographic dialectal variation in social media
  ☆25Updated 5 years ago
• oxfordinternetinstitute / oxonfair
  Fairness toolkit for pytorch, scikit learn and autogluon
  ☆31Updated last month
• rcrupiISP / ISParity
  Repository of experiments in fairness Machine Learning.
  ☆8Updated 7 months ago
• summerscope / fair-ml-reading-group
  Reading history for Fair ML Reading Group in Melbourne
  ☆37Updated 3 years ago
• yoshavit / fairml-farm
  A collection of implementations of fair ML algorithms
  ☆12Updated 7 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆125Updated 4 years ago
• DataResponsibly / FairPrep
  FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.
  ☆11Updated last year
• BoulderDS / human-centered-machine-learning
  ☆53Updated 4 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆107Updated last year
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• charliemarx / pmtools
  ☆9Updated 4 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆50Updated 2 years ago
• uclanlp / gn_glove
  Learning Gender-Neutral Word Embeddings
  ☆46Updated 5 years ago
• BiDAlab / FairCVtest
  FairCVtest: Testbed for Fair Automatic Recruitment and Multimodal Bias Analysis
  ☆18Updated last year
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• wikistat / Fair-ML-4-Ethical-AI
  Fair Statistical Learning Algorithms for Ethical Artificial Intelligence
  ☆24Updated last year
• IBM / inFairness
  PyTorch package to train and audit ML models for Individual Fairness
  ☆64Updated last year
• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆91Updated last year
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆188Updated 3 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 5 years ago
• holistic-ai / holisticai-old
  ☆18Updated last year
• dirkhovy / text_analysis_for_social_science
  Code for the CUP Elements on text analysis in Python for social scientists
  ☆135Updated 2 years ago
• socialfoundations / error-parity
  Achieve error-rate fairness between societal groups for any score-based classifier.
  ☆16Updated 9 months ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆75Updated 4 years ago
• EricWiener / liwc-analysis
  Driver for LIWC2015 analysis. LIWC2015 dictionary not included.
  ☆16Updated 2 years ago