Innovative Data Exploration Laboratory (InDeX Lab)

Innovative Data Exploration Laboratory (InDeX Lab)'s repositories

news-ordering

Maximizing Neutrality in News Ordering

Language:Jupyter NotebookMIT3 30

CoverageICDE

Language:Java2 20

fair_entity_matching

Fair Entity Matching: A Fairness Suite for Auditing Entity Matching Approaches

Language:PythonMIT2 20

CovidInsights

Language:JavaScript1 30

DetectingCherryPickedTrendlines

Language:PythonMIT1 20

FCS

Language:PythonGPL-3.01 30

FMC

Language:PythonMIT1 20

MithraLabel

Language:JavaScriptMIT1 20

online-MISH

Online Maximum Independent Set of Hyperrectangles

Language:Jupyter NotebookMIT1 30

RepresentationBias-ContinuousCoverage

Language:JavaMIT1 20

SignalReconstruction

Language:C++MIT1 30

Businesses-Recommendation-on-Maps-using-RRR

Language:JavaScriptGPL-3.0020

LargeScale_Training

Language:Python040

Chameleon

Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities

Language:Jupyter Notebook020

ExplainMatchTopK

Language:Python000

fair_set_cover

This repository contains the implemented algorithms and experiments for the 'Fair Set Cover' project.

Language:Jupyter Notebook000

FairEMDemo

Language:JavaScript000

FairEMRepro

Language:Jupyter Notebook000

FairER

Language:Jupyter Notebook020

fairHashmap

Language:Python000

Image-Data-Coverage

Language:Python000

Mining_U3Ms

Language:Jupyter Notebook000

PopSim

Language:Jupyter Notebook020