Data, Responsibly

Data, Responsibly's repositories

MirrorDataGenerator is a python tool that generates synthetic data based on user-specified causal relations among features in the data. It focuses on how features relate with demographic attributes (e.g. gender, race, disability status, etc), which are considered as sensitive information for certain domains (e.g. employment, housing, etc).

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FairPrep

FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.

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FairRank

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CIFRank

The repo for causal intersectionality for fair ranking.

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Virny

An in-depth performance profiling library for machine learning models

Language:PythonBSD-3-Clause8 40

dataResponsiblyUI

A Django project for the Web UIs of the Data, Resposibly.

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hiring-stability-audit

External stability audit to test the validity of personality predictions made by AI hiring systems

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courses

This is repo of all Data Responsibly related courses.

Language:Jupyter NotebookMIT5 60

DataResponsibly

The repository for all the datasets and projects related with data responsibly.

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RankingFacts

This is the repository of source codes for RankingFacts demo.

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Datasets

This is the repository for all the public datasets that have been used in DataResponsibly projects.

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accuracy-explainability-tradeoff

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algorithmic-transparency-playbook

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DataResponsibly.github.io

Data, Responsibly

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fairDAGs

This is the repository of code for fairDAGs.

Language:Jupyter NotebookMIT1 30

MLcF

A controlled environment to play around with various data errors and stages in the ML lifecycle and measure their impact on model fairness and stability.

Language:Jupyter NotebookBSD-3-Clause1 50