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.
☆2,755Nov 13, 2025Updated 3 months ago
Alternatives and similar repositories for AIF360
Users that are interested in AIF360 are comparing it to the libraries listed below
Sorting:
- Interpretability and explainability of data and machine learning models☆1,761Feb 26, 2025Updated last year
- A Python package to assess and improve fairness of machine learning models.☆2,211Updated this week
- Bias Auditing & Fair ML Toolkit☆750Feb 3, 2026Updated 3 weeks ago
- 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…☆5,844Dec 12, 2025Updated 2 months ago
- Fit interpretable models. Explain blackbox machine learning.☆6,802Updated this week
- Algorithms for explaining machine learning models☆2,612Oct 17, 2025Updated 4 months ago
- ☆366May 10, 2021Updated 4 years ago
- A curated list of awesome Fairness in AI resources☆332Sep 15, 2023Updated 2 years ago
- Python code for training fair logistic regression classifiers.☆191Jan 10, 2022Updated 4 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,072Feb 20, 2026Updated last week
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆358Aug 4, 2025Updated 6 months ago
- A curated list of awesome responsible machine learning resources.☆3,988Feb 18, 2026Updated last week
- Lime: Explaining the predictions of any machine learning classifier☆12,101Jul 25, 2024Updated last year
- Source code/webpage/demos for the What-If Tool☆990Jan 24, 2026Updated last month
- detect demographic differences in the output of machine learning models or other assessments☆319Jul 29, 2020Updated 5 years ago
- Datasets derived from US census data☆278May 15, 2024Updated last year
- ☆316Mar 8, 2023Updated 2 years ago
- Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable …☆1,725Feb 6, 2026Updated 3 weeks ago
- A library that implements fairness-aware machine learning algorithms☆127Oct 21, 2020Updated 5 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…☆7,970Feb 18, 2026Updated last week
- A system for quickly generating training data with weak supervision☆5,939May 2, 2024Updated last year
- Data and analysis for 'Machine Bias'☆675Jun 13, 2017Updated 8 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,499Jul 13, 2025Updated 7 months ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,174Feb 9, 2026Updated 3 weeks ago
- XAI - An eXplainability toolbox for machine learning☆1,226Nov 29, 2025Updated 3 months ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆119Mar 10, 2021Updated 4 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 2 months ago
- A visual analytic system for fair data-driven decision making☆26Dec 10, 2022Updated 3 years ago
- Algorithms for outlier, adversarial and drift detection☆2,493Dec 11, 2025Updated 2 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Feb 10, 2026Updated 3 weeks ago
- An open source python library for automated feature engineering☆7,614Feb 3, 2026Updated 3 weeks ago
- Model interpretability and understanding for PyTorch☆5,560Updated this week
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,982Dec 28, 2025Updated 2 months ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆679Jun 17, 2024Updated last year
- 🌊 Online machine learning in Python☆5,726Feb 9, 2026Updated 3 weeks ago
- Perform data science on data that remains in someone else's server☆9,857Jul 15, 2025Updated 7 months ago
- Robustness Gym is an evaluation toolkit for machine learning.☆445Jun 28, 2022Updated 3 years ago
- ☆58Apr 7, 2021Updated 4 years ago