Alternatives and similar repositories for audit-ai

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

• adebayoj / fairml
  ☆364Updated 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…
  ☆171Updated 2 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆126Updated 4 years ago
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆724Updated 2 months ago
• columbia / fairtest
  ☆57Updated 4 years ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆489Updated 4 years ago
• algofairness / BlackBoxAuditing
  Research code for auditing and exploring black box machine-learning models.
  ☆132Updated 2 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆165Updated last week
• conversationai / unintended-ml-bias-analysis
  ☆327Updated 3 weeks ago
• HoloClean / holoclean
  A Machine Learning System for Data Enrichment.
  ☆520Updated last year
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆261Updated last year
• LASER-UMASS / Themis
  Themis™ is a software fairness tester.
  ☆104Updated 4 years ago
• megantosh / fairness_measures_code
  ☆38Updated last year
• drivendataorg / deon
  A command line tool to easily add an ethics checklist to your data science projects.
  ☆298Updated last year
• anodot / MLWatcher
  ☆95Updated 5 years ago
• dssg / triage
  General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
  ☆193Updated this week
• tensorflow / fairness-indicators
  Tensorflow's Fairness Evaluation and Visualization Toolkit
  ☆351Updated 2 weeks ago
• IBM / lale
  Library for Semi-Automated Data Science
  ☆339Updated 2 months ago
• d6t / d6tpipe
  Push and pull data files like code
  ☆175Updated last year
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 6 years ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆804Updated 2 years ago
• RTIInternational / gobbli
  Deep learning with text doesn't have to be scary.
  ☆276Updated 2 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, …
  ☆681Updated last year
• suraz09 / FairClassifier
  An open source package that evaluate the fairness of a Neural Network using a fairness metric called p% rule.
  ☆18Updated 6 years ago
• ResponsiblyAI / responsibly
  Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
  ☆97Updated last year
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 7 years ago
• manifoldai / docker-cookiecutter-data-science
  A fork of the cookiecutter-data-science leveraging Docker for local development.
  ☆131Updated 5 years ago
• brain-research / data-linter
  The Data Linter identifies potential issues (lints) in your ML training data.
  ☆88Updated 7 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆102Updated 3 years ago
• EthicalML / explainability-and-bias
  ☆102Updated 2 years ago