What AI says about TableGAN

TableGAN is an implementation of data synthesis for tabular data using Generative Adversarial Networks (GANs). It generates synthetic data from real data to protect sensitive information while preserving key statistical properties, reducing re-identification risk. The repository provides code and data scaffolding (datasets in /data, including Adult) built with Python, TensorFlow, and common ML libraries for experiments.