Diyago / Tabular-data-generation
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Unified API. switch between GANs, diffusion models, and LLMs with a single parameter change
- Adversarial filtering. built-in LightGBM-based validation keeps synthetic samples distribution-consistent
- Mixed data types. native handling of continuous, categorical, and free-text columns
- Conditional generation. generate text conditioned on categorical attributes via LLM prompting
- LLM API support. integrate with LM Studio, OpenAI, Ollama, or any OpenAI-compatible endpoint
Get started
pip install tabgan- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 571
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v3.2.0
- Released 7 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 36 merged
- 0 waiting
- Releases
- 6
- 2 in the last year
- No contributing guide
- Security policy (opens in new tab)
- Code of conduct (opens in new tab)
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| pytorch-tabular / pytorch_tabular | 1,698 | 56 days ago | MIT | No downloads |
| yandex-research / rtdl | 1,170 | 6 months ago | Apache-2.0 | No downloads |
| PriorLabs / tabpfn-extensions | 344 | 6 days ago | Apache-2.0 | No downloads |
More: languages, topics, project record and preview image
Languages
- Python 100%
Topics
- tabular-data
- gans
- train-dataframe
- adversarial-filtering
- deep-learning
- feature-engineering
- gan
- machine-learning
- python
Project record
- JobOther AI tools
- StatusListed
- Commits260
- Forks81
- Watching9
- Stars in 28 days+1
- CreatedMar 21, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026