Alternatives and similar repositories for ResponsibleAI

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

• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆110Updated 2 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆125Updated 5 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 3 weeks ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆77Updated 5 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 6 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆29Updated 6 years ago
• interpretml / interpret-community
  Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…
  ☆437Updated 11 months ago
• jphall663 / GWU_rml
  ☆39Updated 8 months ago
• fairlearn / talks
  Talks / presentations / tutorials about Fairlearn and fairness in ML
  ☆22Updated 3 years ago
• thampiman / interpretability
  Interpretability Techniques to Build Robust AI Applications
  ☆39Updated 6 years ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆142Updated 2 years ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆160Updated 3 years ago
• columbia / fairtest
  ☆58Updated 4 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆74Updated 2 years ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆491Updated 5 years ago
• drivendataorg / deon
  A command line tool to easily add an ethics checklist to your data science projects.
  ☆302Updated 3 months ago
• shreyashankar / datasets-for-good
  List of datasets to apply stats/machine learning/technology to the world of social good.
  ☆247Updated 5 years ago
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆745Updated 3 weeks ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆250Updated 3 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆164Updated 5 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆128Updated 2 years ago
• IBM / UQ360
  Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…
  ☆268Updated 3 months ago
• megantosh / fairness_measures_code
  ☆39Updated last year
• dynamicwebpaige / kaggle-survey-spelunking
  ☆144Updated 4 years ago
• PAIR-code / datacardsplaybook
  The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.
  ☆197Updated last year