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Search results for python fairness ai

24 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.

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

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

Safety Score for Pre-Trained Language Models

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.

Influenciae ⭐ 42

👋 Influenciae is a Tensorflow Toolbox for Influence Functions

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

[ICMLA 2021] Jurity: Fairness & Evaluation Library

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

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.

Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".

SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments

Article Information 2019 ⭐ 10

Article for Special Edition of Information: Machine Learning with Python

Counterfactual Local Explanations of AI systems

Inequity Release ⭐ 8

Code to accompany 2019 paper.

CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions

Intraprocessing_debiasing ⭐ 7

Code to accompany NeurIPS paper https://arxiv.org/abs/2006.08564

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]

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

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