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5 search results found

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.

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!

Rubi.bootstrap.pytorch ⭐ 47

RUBi : Reducing Unimodal Biases for Visual Question Answering

Responsibly ⭐ 41

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

Channel_importance_fsl ⭐ 38

[ICML 2022] Channel Importance Matters in Few-shot Image Classification

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