A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
☆2,773Nov 13, 2025Updated 4 months ago
Alternatives and similar repositories for AIF360
Users that are interested in AIF360 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Interpretability and explainability of data and machine learning models☆1,768Feb 26, 2025Updated last year
- A Python package to assess and improve fairness of machine learning models.☆2,215Mar 16, 2026Updated last week
- Bias Auditing & Fair ML Toolkit☆754Feb 3, 2026Updated last month
- Comparing fairness-aware machine learning techniques.☆161Dec 26, 2022Updated 3 years ago
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆5,893Dec 12, 2025Updated 3 months ago
- Python code for training fair logistic regression classifiers.☆191Jan 10, 2022Updated 4 years ago
- ☆366May 10, 2021Updated 4 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,816Updated this week
- A curated list of awesome Fairness in AI resources☆332Sep 15, 2023Updated 2 years ago
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆358Aug 4, 2025Updated 7 months ago
- Algorithms for explaining machine learning models☆2,621Oct 17, 2025Updated 5 months ago
- ☆315Mar 8, 2023Updated 3 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,131Mar 12, 2026Updated last week
- detect demographic differences in the output of machine learning models or other assessments☆319Jul 29, 2020Updated 5 years ago
- A library that implements fairness-aware machine learning algorithms☆126Oct 21, 2020Updated 5 years ago
- Datasets derived from US census data☆279May 15, 2024Updated last year
- Lime: Explaining the predictions of any machine learning classifier☆12,106Jul 25, 2024Updated last year
- A curated list of awesome responsible machine learning resources.☆3,998Mar 16, 2026Updated last week
- Source code/webpage/demos for the What-If Tool☆994Mar 11, 2026Updated last week
- Data and analysis for 'Machine Bias'☆678Jun 13, 2017Updated 8 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆119Mar 10, 2021Updated 5 years ago
- Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable …☆1,741Feb 6, 2026Updated last month
- A visual analytic system for fair data-driven decision making☆26Dec 10, 2022Updated 3 years ago
- ☆58Apr 7, 2021Updated 4 years ago
- This is a collection of papers and other resources related to fairness.☆95Nov 9, 2025Updated 4 months ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,501Jul 13, 2025Updated 8 months ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆267Sep 17, 2025Updated 6 months ago
- ☆26Nov 2, 2017Updated 8 years ago
- XAI - An eXplainability toolbox for machine learning☆1,229Nov 29, 2025Updated 3 months ago
- tempeh is a framework to TEst Machine learning PErformance exHaustively which includes tracking memory usage and run time.☆18Jan 3, 2022Updated 4 years ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆7,999Mar 14, 2026Updated last week
- Learning Adversarially Fair and Transferable Representations☆56Sep 7, 2018Updated 7 years ago
- Research code for auditing and exploring black box machine-learning models.☆132May 24, 2023Updated 2 years ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,255Mar 5, 2026Updated 2 weeks ago
- Code and data for the experiments in "On Fairness and Calibration"☆50Apr 22, 2022Updated 3 years ago
- Model interpretability and understanding for PyTorch☆5,580Mar 11, 2026Updated last week
- 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 3 months ago
- A system for quickly generating training data with weak supervision☆5,937May 2, 2024Updated last year
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,994Dec 28, 2025Updated 2 months ago