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26 search results found

Giskard ⭐ 2,509

🐢 The testing framework for ML models, from tabular to LLMs

Aif360 ⭐ 2,293

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.

Fairlearn ⭐ 1,727

A Python package to assess and improve fairness of machine learning models.

Responsible Ai Toolbox ⭐ 1,187

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

Amazon Sagemaker Clarify ⭐ 63

Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.

Infairness ⭐ 58

PyTorch package to train and audit ML models for Individual Fairness

Presentations ⭐ 51

Talks & Workshops by the CODAIT team

Credoai_lens ⭐ 44

Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central gateway to assessments created in the open source community.

Responsibly ⭐ 41

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰

[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models

Awesome Ml Fairness ⭐ 32

Papers and online resources related to machine learning fairness

[ICMLA 2021] Jurity: Fairness & Evaluation Library

Fairness ⭐ 27

R package for computing and visualizing fair ML metrics

Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency

Multi-Calibration & Multi-Accuracy Boosting for R

Responsible Ai Toolbox Genbit ⭐ 18

A tool for gender bias identification in text. Part of Microsoft's Responsible AI toolbox.

Fairbatch ⭐ 16

FairBatch: Batch Selection for Model Fairness (ICLR 2021)

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.

Article Information 2019 ⭐ 10

Article for Special Edition of Information: Machine Learning with Python

Responsible Ai Workshop ⭐ 9

Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice

Inequity Release ⭐ 8

Code to accompany 2019 paper.

Monitor Custom Ml Engine With Watson Openscale ⭐ 6

Deploy a Custom Machine Learning engine and Monitor Payload Logging and Fairness using AI OpenScale

Shapley_valuation ⭐ 6

PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuation of Data" by Amirata Ghorbani and James Zou [ICML 2019]

Data and code for Salesforce Research paper, GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning - https://arxiv.org/abs/2012.03900 . The paper provides methods for constraint graph augmentation and optimal facility placement problems

Open-source toolkit to help companies implement responsible AI workflows.

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