Alternatives and similar repositories for fairlearn-proposals:

Users that are interested in fairlearn-proposals are comparing it to the libraries listed below

• PracticalFairness / BookRepo
  ☆14Updated 4 years ago
• jphall663 / GWU_rml
  ☆35Updated this week
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 4 years ago
• yoshavit / fairml-farm
  A collection of implementations of fair ML algorithms
  ☆12Updated 7 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• DataResponsibly / FairPrep
  FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.
  ☆11Updated 2 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• ayong8 / FairSight
  A visual analytic system for fair data-driven decision making
  ☆25Updated 2 years ago
• fairlearn / talks
  Talks / presentations / tutorials about Fairlearn and fairness in ML
  ☆22Updated 2 years ago
• charliemarx / pmtools
  ☆9Updated 4 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 5 years ago
• columbia / fairtest
  ☆58Updated 4 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆75Updated 4 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• Yu-Group / imodels-experiments
  Experiments with experimental rule-based models to go along with imodels.
  ☆16Updated this week
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• romanlutz / ResponsibleAI
  A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoi…
  ☆64Updated 4 years ago
• christophM / explain-ml
  ☆34Updated 8 years ago
• MLBazaar / piex
  Pipeline Explorer - Explore and analyze millions of pipelines learned using MLBlocks and MLPrimitives.
  ☆17Updated last year
• fairmlbook / fairmlbook.github.io
  ☆32Updated last year
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 2 years ago
• algofairness / runaway-feedback-loops-src
  Accompanying source code for "Runaway Feedback Loops in Predictive Policing"
  ☆16Updated 7 years ago
• algofairness / BlackBoxAuditing
  Research code for auditing and exploring black box machine-learning models.
  ☆132Updated last year
• poloclub / FairVis
  FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
  ☆38Updated 11 months ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆23Updated 3 years ago
• megantosh / fairness_measures_code
  ☆38Updated last year
• realityengines / post_hoc_debiasing
  ☆17Updated 4 years ago
• thiippal / MoodCat
  MoodCat😼 classifies the mood of English sentences.
  ☆14Updated 2 years ago
• summerscope / fair-ml-reading-group
  Reading history for Fair ML Reading Group in Melbourne
  ☆36Updated 3 years ago