detect demographic differences in the output of machine learning models or other assessments
☆321Jul 29, 2020Updated 6 years ago
Alternatives and similar repositories for audit-ai
Users that are interested in audit-ai are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆58Apr 7, 2021Updated 5 years ago
- ☆370May 10, 2021Updated 5 years ago
- Bias Auditing & Fair ML Toolkit☆776May 12, 2026Updated 4 months ago
- Comparing fairness-aware machine learning techniques.☆161Dec 26, 2022Updated 3 years ago
- A library that implements fairness-aware machine learning algorithms☆126Oct 21, 2020Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A visual analytic system for fair data-driven decision making☆27Dec 10, 2022Updated 3 years ago
- A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…☆2,874Jun 15, 2026Updated 3 months ago
- Themis™ is a software fairness tester.☆108Aug 6, 2020Updated 6 years ago
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…☆173Dec 19, 2025Updated 9 months ago
- Accompanying source code for "Runaway Feedback Loops in Predictive Policing"☆16Dec 13, 2017Updated 8 years ago
- A Python package to assess and improve fairness of machine learning models.☆2,290Updated this week
- Implementation of provably Rawlsian fair ML algorithms for contextual bandits.☆15May 10, 2017Updated 9 years ago
- ☆315Mar 8, 2023Updated 3 years ago
- Repo for PyData 2018 tuorial☆12Oct 18, 2018Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆16Jun 25, 2018Updated 8 years ago
- FairCVtest: Testbed for Fair Automatic Recruitment and Multimodal Bias Analysis☆23Jul 24, 2023Updated 3 years ago
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆358Jul 10, 2026Updated 2 months ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆72Oct 20, 2021Updated 4 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆120Mar 10, 2021Updated 5 years ago
- FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning☆40Apr 23, 2024Updated 2 years ago
- Algorithms for explaining machine learning models☆2,648Oct 17, 2025Updated 11 months ago
- Code for "Counterfactual Fairness" (NIPS2017)☆56Jul 18, 2018Updated 8 years ago
- A toolkit that streamlines and automates the generation of model cards☆451Jul 26, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆29Jul 13, 2019Updated 7 years ago
- Source code/webpage/demos for the What-If Tool☆1,020Sep 21, 2026Updated 2 weeks ago
- FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.☆11Mar 24, 2023Updated 3 years ago
- ☆104Jul 6, 2023Updated 3 years ago
- Reading history for Fair ML Reading Group in Melbourne☆37Aug 2, 2021Updated 5 years ago
- A post-processing method to create fair rankings wrt ranked group fairness☆15Jun 5, 2019Updated 7 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,798Updated this week
- Setting up macOS the fast-way. Docs available at https://i3p9.github.io/mac-setup/☆12Oct 15, 2023Updated 2 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,956Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- XAI - An eXplainability toolbox for machine learning☆1,266Nov 29, 2025Updated 10 months ago
- PyTorch package to train and audit ML models for Individual Fairness☆67Sep 17, 2025Updated last year
- Testing theories of sentence vectors on real world data☆11Jun 21, 2017Updated 9 years ago
- Inspect ML Pipelines in Python in the form of a DAG☆69Feb 24, 2024Updated 2 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Jan 30, 2023Updated 3 years ago
- Supervisor trees for Go☆10Nov 4, 2017Updated 8 years ago
- Transformer based Trigram Blocking implementation in Tensorflow☆11Feb 26, 2020Updated 6 years ago