GitHub topics: bias-reduction
Trusted-AI/AIF360
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.
Language: Python - Size: 6.52 MB - Last synced at: about 7 hours ago - Pushed at: 4 months ago - Stars: 2,566 - Forks: 868

cdancette/rubi.bootstrap.pytorch
NeurIPS 2019 Paper: RUBi : Reducing Unimodal Biases for Visual Question Answering
Language: Python - Size: 183 KB - Last synced at: 11 days ago - Pushed at: about 4 years ago - Stars: 60 - Forks: 14

dccuchile/wefe
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!
Language: Python - Size: 41.6 MB - Last synced at: 29 days ago - Pushed at: 10 months ago - Stars: 177 - Forks: 14

hudson-newey/Bias-Alert
A small and simple prototype designed to alert users of the bias of the news source.
Language: JavaScript - Size: 19.5 KB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Ethical-Spectacle/rumormill
Bias detection Toolkit: Chrome Extension, Python Package, SOTA research paper docs.
Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: 2 days ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

ToineSayan/counterfactual-representations-for-explanation
Pytorch implementation of 'Explaining text classifiers with counterfactual representations' (Lemberger & Saillenfest, 2024), ECAI 2024 - 27th European conference on AI
Language: Python - Size: 15.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

ikosmidis/brglm2
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
Language: R - Size: 2.52 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 32 - Forks: 11

ResponsiblyAI/responsibly
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems ππ€π§°
Language: Python - Size: 33 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 96 - Forks: 22

btschwertfeger/BiasAdjustCXX
Bias correction command-line tool for climatic research written in C++
Language: C++ - Size: 12.5 MB - Last synced at: 20 days ago - Pushed at: 7 months ago - Stars: 8 - Forks: 2

nlbao/what-to-ask-when
Critical questions to help you gain useful information, clarify the context, figure out the pain points, and overcome biases.
Size: 8.79 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ikosmidis/MEstimation.jl
Methods for M-estimation of statistical models
Language: Julia - Size: 345 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 1

meowoodie/Data-Bias-Reduction
A method to preprocess the training data, producing an adjusted dataset that is independent of the group variable with minimum information loss.
Language: Python - Size: 1.38 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

NeilFabiao/UnbiasedML-tradeoff-main
πIn recent years the advancement of ML (machine learning) increased automation for tasks in different domains. One of the challanges was an issues with job recruitment systems that demonstrated bias toward female applicants [4]. This repo will investigate some of the techniques used to overcome these challenges. π¨π½βπ§
Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ehsansaleh/code_dcf
This repository contains the firth bias reduction experiments on the few-shot distribution calibration method conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".
Language: Python - Size: 94.7 KB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

hushon/learning-not-to-learn-tensorflow
Tensorflow implementation of Learning Not to Learn (CVPR 2019)
Language: Python - Size: 340 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

Frankluox/Channel_Importance_FSL
[ICML 2022] Channel Importance Matters in Few-shot Image Classification
Language: Python - Size: 181 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 3

ikosmidis/brquasi
Bias reduction in quasi likelihood estimation
Language: R - Size: 49.8 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 0

ehsansaleh/firth_bias_reduction
This repository contains the experiments conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".
Size: 46.9 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 0

samorso/IBpaper
This repository contains the code to replicate the numerical studies presented in the paper "A Flexible Bias Correction Method based on Inconsistent Estimators".
Language: R - Size: 316 KB - Last synced at: 21 days ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

mthalken/Credit_Risk_Analysis
Sampling algorithms and machine learning models to reduce bias and predict credit risk.
Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

yurayli/jigsaw-toxic-bias-reduction
unbiased toxicity detection from comments
Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ikosmidis/waldi
Location-adjusted Wald statistics
Language: HTML - Size: 338 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 2

sverma88/ADMA_Demo_2018
The repository contains software library for Data Augmentation Services
Language: Python - Size: 73.2 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
