Alternatives and similar repositories for ResponsibleAI

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

• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆733Updated last week
• 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
• drivendataorg / deon
  A command line tool to easily add an ethics checklist to your data science projects.
  ☆301Updated last month
• interpretml / interpret-community
  Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…
  ☆434Updated 8 months ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆110Updated 2 years ago
• shreyashankar / datasets-for-good
  List of datasets to apply stats/machine learning/technology to the world of social good.
  ☆247Updated 4 years ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆126Updated 4 years ago
• google / ml-fairness-gym
  ☆316Updated 2 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• thampiman / interpretability
  Interpretability Techniques to Build Robust AI Applications
  ☆39Updated 6 years ago
• jphall663 / GWU_rml
  ☆39Updated 5 months ago
• fairlearn / talks
  Talks / presentations / tutorials about Fairlearn and fairness in ML
  ☆22Updated 3 years ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆159Updated 2 years ago
• ivylee / model-cards-and-datasheets
  A collection of machine learning model cards and datasheets.
  ☆80Updated last week
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆77Updated 4 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆126Updated 2 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆118Updated 4 years ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆249Updated 3 years ago
• IBM / UQ360
  Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…
  ☆266Updated last month
• 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
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆489Updated 4 years ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆294Updated 2 years ago
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆72Updated 2 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆149Updated last year
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆209Updated 3 years ago