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Author:
None
License:
MIT License
Copyright (c) 2025 Vinicius Gabriel Angelozzi Verona de Resende, Héber Hwang Arcolezi
Permission is hereby granted, free of charge, to any person obtainin...
Summary:
A differentially private data synthesizer and fairness intervention benchmark framework
Latest version:
0.2.7
Required dependencies:
aif360
|
blackboxauditing
|
chex
|
cvxpy
|
fairlearn
|
infairness
|
matplotlib
|
matplotlib-inline
|
numpy
|
pandas
|
scikit-learn
|
scipy
|
smartnoise-sql
|
smartnoise-synth
|
tabulate
|
ucimlrepo
|
xgboost
|
xgboost-cpu
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