Trusted-AI / AIF360Links
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.
☆2,647Updated 9 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☆1,732Updated 6 months ago
- A Python package to assess and improve fairness of machine learning models.☆2,116Updated last month
- Bias Auditing & Fair ML Toolkit☆727Updated 4 months ago
- Algorithms for explaining machine learning models☆2,555Updated this week
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,443Updated 2 months ago
- XAI - An eXplainability toolbox for machine learning☆1,198Updated 3 years ago
- Source code/webpage/demos for the What-If Tool☆970Updated 3 weeks ago
- Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable …☆1,616Updated 7 months ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆435Updated 7 months ago
- Fit interpretable models. Explain blackbox machine learning.☆6,668Updated last week
- A library that implements fairness-aware machine learning algorithms☆126Updated 4 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆807Updated 3 years ago
- A curated list of awesome responsible machine learning resources.☆3,857Updated last week
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆353Updated last month
- OmniXAI: A Library for eXplainable AI☆949Updated last year
- Algorithms for outlier, adversarial and drift detection☆2,419Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,493Updated 2 weeks ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆836Updated 3 years ago
- ☆917Updated 2 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆682Updated last year
- A collection of research materials on explainable AI/ML☆1,537Updated last month
- A toolkit that streamlines and automates the generation of model cards☆437Updated 2 years ago
- ☆316Updated 2 years ago
- Code for the TCAV ML interpretability project☆643Updated 2 months ago
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,366Updated 7 months ago
- Library for Semi-Automated Data Science☆343Updated 4 months ago
- A curated list of awesome Fairness in AI resources☆327Updated last year
- Data and analysis for 'Machine Bias'☆659Updated 8 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,368Updated last year
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆5,533Updated this week