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data-synthetic

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mlab-inf-ufrgs / bias2fair-synth

Source code for the BRACIS 2026 project: [ From Bias to Fairness: Can Synthetic Data Bridge the Gap in Tabular Machine Learning? ]

machine-learning race bias sex copula-models bias-mitigation ctgan fairness-algorithms models-generation tvae data-synthetic difussion-model wage-disparity

Updated Jul 1, 2026
Python

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