fairness-assessment

There are 0 repository under fairness-assessment topic.

fairlearn / fairlearn
A Python package to assess and improve fairness of machine learning models.
fairness-ml fairness-ai fairness machine-learning artificial-intelligence unfairness-mitigation fairness-assessment ai responsible-ai harms group-fairness ai-systems
Language:Python 2118
ashryaagr / Fairness.jl
Julia Toolkit with fairness metrics and bias mitigation algorithms
bias-audit bias-mitigation fairness fairness-assessment fairness-ml julia machine-learning mlj
Language:Julia 32
wearepal / EthicML
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
ethical-artificial-intelligence fairness toolkit pytorch machine-learning fairness-comparison data-science ethical-data-science computer-vision algorithmic-fairness fairness-ml fairness-ai responsible-ai machine-bias fairness-awareness-model fairness-assessment
Language:Python 23
agroportal / fairness
This project is a FAIRness assessment tool for ontologies, vocabularies and semantic resources.
fairness-assessment java ontologies semantic-resources
Language:Java 19
hharcolezi / ldp-fairness-impact
Repository for the DBSec 2023 paper "(Local) Differential Privacy has NO Disparate Impact on Fairness"
differential-privacy fairness fairness-assessment fairness-ml local-differential-privacy privacy
Language:Jupyter Notebook 8
yromano / fair_dummies
implementation of fair dummies
fairness fairness-ml fairness-awareness-model fairness-assessment fairness-testing equalized-odds conditional-independence neural-network prediction-intervals regression multiclass-classification
Language:Jupyter Notebook 3
huahuang95 / Data-Ethics
US Income Tax Audit Algorithms
exploratory-data-analysis fairness-assessment decision-tree data-ethics
Language:Jupyter Notebook 1
fixouttech / fixout
Algorithmic inspection for trustworthy ML models
fairness machine-learning fairness-ai fairness-algorithms fairness-assessment fairness-indicators fairness-ml ml-testing mlops trustworthy-ai ai ai-systems explainable-ai explainable-ml group-fairness harms responsible-ai unfairness-mitigation algorithmic-fairness bias-measurement
Language:Python