Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
TabSyngithub.comTabSyn is a deep generative model that synthesizes mixed-type tabular data (continuous and categorical) using a variational autoencoder and a score-based diffusion model in latent space. It achieves state-of-the-art performance in recovering ground truth distributions and offers faster sampling than previous diffusion-based methods.
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Sources
arxiv.org shapes more of what AI says about TabSyn than any other source, at 100% of its citations.
