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This workflow trains a GAN (Generative Adversarial Network) to learn the statistical patterns in a tabular dataset, then uses the trained model to generate new synthetic rows that look like real data.

This workflow generates synthetic versions of tabular datasets (CSV files, pandas DataFrames). Instead of modeling an entire table as one sequence, it splits columns into smaller groups, trains a ...