Alternatives and similar repositories for audit-ai

Users that are interested in audit-ai are comparing it to the libraries listed below

• adebayoj / fairml
  ☆368Updated 4 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆126Updated 5 years ago
• algofairness / BlackBoxAuditing
  Research code for auditing and exploring black box machine-learning models.
  ☆132Updated 2 years ago
• columbia / fairtest
  ☆58Updated 4 years ago
• linkedin / LiFT
  The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…
  ☆172Updated 2 years ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆490Updated 4 years ago
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆738Updated 2 weeks ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆160Updated 2 years ago
• megantosh / fairness_measures_code
  ☆39Updated last year
• 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.
  ☆106Updated 5 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated 5 months ago
• conversationai / unintended-ml-bias-analysis
  ☆332Updated this week
• dssg / triage
  General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
  ☆194Updated this week
• ResponsiblyAI / responsibly
  Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
  ☆97Updated 2 years ago
• anodot / MLWatcher
  ☆96Updated 5 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• kiprotect / data-privacy-for-data-scientists
  A workshop on data privacy methods for data scientists.
  ☆70Updated 3 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• DataResponsibly / DataSynthesizer
  ☆271Updated last year
• google / ml-fairness-gym
  ☆316Updated 2 years ago
• brain-research / data-linter
  The Data Linter identifies potential issues (lints) in your ML training data.
  ☆89Updated 8 years ago
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆263Updated last year
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 8 years ago
• drivendataorg / deon
  A command line tool to easily add an ethics checklist to your data science projects.
  ☆301Updated 2 months ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆77Updated 4 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 7 years ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆680Updated last year