DataResponsibly
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FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.
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FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.
FairPrep is under active development, and is planning a first publicly available release with installation instructions and examples soon.
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Created
January 10, 2020
Last Updated
March 20, 2024