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TabularGAN-GANs-and-Conditional-GANs-for-Realistic-Synthetic-Data-Generation-on-Adult-Dataset

Generate high-fidelity synthetic tabular data using GANs and cGANs on the UCI Adult dataset. Includes Optuna-tuned architectures, label conditioning, and downstream evaluation via Random Forest classifiers.

adversarial-networks conditional-gan data-augmentation gan machine-learning pytorch synthetic-dataset-generation tabular-data uciadult

Creat：2025-07-31T23:51:24

Update：2025-08-01T00:03:09

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