yandex-research/tab-ddpm
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
Applies diffusion models to tabular data generation by treating mixed data types (continuous and categorical features) through a unified continuous representation during the diffusion process. The implementation uses PyTorch and provides modular training/sampling pipelines with evaluation against multiple baselines (CTGAN, CTAB-GAN) using tuned downstream models like CatBoost and MLPs to assess synthetic data quality.
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