Alternatives and similar repositories for BlackBoxAuditing

Users that are interested in BlackBoxAuditing are comparing it to the libraries listed below

• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆161Updated 3 years ago
• adebayoj / fairml
  ☆366Updated 4 years ago
• megantosh / fairness_measures_code
  ☆40Updated last year
• columbia / fairtest
  ☆58Updated 4 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆29Updated 6 years ago
• LASER-UMASS / Themis
  Themis™ is a software fairness tester.
  ☆108Updated 5 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 5 years ago
• pymetrics / audit-ai
  detect demographic differences in the output of machine learning models or other assessments
  ☆319Updated 5 years ago
• geomblog / fairness
  Repo for GIAN fairness course
  ☆54Updated 9 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• algofairness / runaway-feedback-loops-src
  Accompanying source code for "Runaway Feedback Loops in Predictive Policing"
  ☆17Updated 8 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆119Updated 4 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆127Updated 5 years ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• christophM / explain-ml
  ☆35Updated 9 years ago
• corels / corels
  Learning Certifiably Optimal Rule Lists
  ☆176Updated 4 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆37Updated 4 years ago
• interpretable-ml / iml
  Interpretable ML package designed to explain any machine learning model.
  ☆61Updated 7 years ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆142Updated 2 years ago
• nyuvis / explanation_explorer
  A user interface to interpret machine learning models.
  ☆71Updated 6 years ago
• BeenKim / MMD-critic
  ☆135Updated 6 years ago
• nextml / NEXT
  NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-wo…
  ☆163Updated last year
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆191Updated 4 years ago
• marcotcr / anchor-experiments
  Experiments for AAAI anchor paper
  ☆66Updated 8 years ago
• Hongyuy / sbrl
  repository for R library "sbrlmod"
  ☆25Updated last year
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 8 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 7 years ago
• brain-research / data-linter
  The Data Linter identifies potential issues (lints) in your ML training data.
  ☆88Updated 8 years ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆213Updated 8 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 9 months ago