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9 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

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Bias reduction in quasi likelihood estimation

Firth_bias_reduction ⭐ 7

This repository contains the experiments conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".

Mestimation.jl ⭐ 6

Methods for M-estimation of statistical models

Related Searches

Python Bias Reduction (7)

Deep Learning Bias Reduction (3)

R Bias Reduction (3)

Few Shot Learning Bias Reduction (3)

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