pytorch tabular provides a unified framework for deep learning models on tabular data.
TabGAN
This TabGAN repository reviews research on applying GANs to generate tabular data.

About TabGAN
This TabGAN repository reviews research on applying GANs to generate tabular data.
TabGAN is an open-source project hosted on github.com, listed in our AI Data & Analytics collection. Because the code is public, you can read how it works, run your own copy or contribute improvements.
Not quite what you need? Close alternatives include pytorch tabular, Snorkel, and TSFresh — compare them below.
TabGAN at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
TabGAN alternatives
Tools and sites you could use instead, ranked by how closely they match.
Snorkel helps generate training data programmatically through weak supervision.
tsfresh automatically extracts relevant features from time series data.
NALP covers Natural Adversarial Language Processing through a dedicated library.
neuropredict evaluates predictive performance using neuroimaging features.
nilearn provides Python tools for machine learning and neuroimaging analysis.
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