| title: TabGAN - Synthetic Tabular Data Generator | |
| emoji: 🎲 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 5.23.0 | |
| app_file: app.py | |
| pinned: true | |
| license: apache-2.0 | |
| short_description: Synthetic tabular data via GANs & Diffusion | |
| tags: | |
| - synthetic-data | |
| - tabular | |
| - gan | |
| - diffusion | |
| - privacy | |
| # TabGAN Demo | |
| Generate high-quality synthetic tabular data using multiple generative approaches. | |
| **Methods:** CTGAN (GAN) | Forest Diffusion | Random Baseline | |
| Upload your CSV or try built-in demo datasets, generate synthetic data, and evaluate quality & privacy metrics — all in one place. | |
| [GitHub](https://github.com/Diyago/Tabular-data-generation) | [PyPI](https://pypi.org/project/tabgan/) | |