[PR #3003] [MERGED] Add TabGAN - synthetic tabular data generation with GANs, Diffusion, and LLMs #6710

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GiteaMirror · 2026-04-17T07:38:01-05:00

GiteaMirror commented

2026-04-17 07:38:01 -05:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/3003
Author: @Diyago
Created: 3/28/2026
Status: ✅ Merged
Merged: 3/29/2026
Merged by: @JinyangWang27

Base: master ← Head: add-tabgan

📝 Commits (2)

13b8410 Add TabGAN - synthetic tabular data generation library
fed92e7 Remove extra empty line, place TabGAN in alphabetical order

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

Add TabGAN — Synthetic Tabular Data Generation

TabGAN is a Python library for generating high-quality synthetic tabular data using multiple generative approaches through a unified API:

CTGAN (Conditional Tabular GAN) for mixed data types
ForestDiffusion (tree-based diffusion) for structured data
GReaT (Large Language Models) for semantic dependencies

Key Features

Unified API across GANs, Diffusion Models, and LLMs
Adversarial filtering ensures distribution consistency
Privacy metrics (DCR, NNDR, membership inference)
Constraint enforcement (range, uniqueness, formula, regex)
HTML quality reports with distribution comparisons
sklearn TabGANTransformer for Pipeline integration
100K+ PyPI downloads, 115 tests, Apache 2.0

Paper: Tabular GANs for uneven distribution

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/3003 **Author:** [@Diyago](https://github.com/Diyago) **Created:** 3/28/2026 **Status:** ✅ Merged **Merged:** 3/29/2026 **Merged by:** [@JinyangWang27](https://github.com/JinyangWang27) **Base:** `master` ← **Head:** `add-tabgan` --- ### 📝 Commits (2) - [`13b8410`](https://github.com/vinta/awesome-python/commit/13b84109e03fa38f10c757fab12d499176724634) Add TabGAN - synthetic tabular data generation library - [`fed92e7`](https://github.com/vinta/awesome-python/commit/fed92e79f39c84b76106abeab37d0787729e872f) Remove extra empty line, place TabGAN in alphabetical order ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## Add [TabGAN](https://github.com/Diyago/Tabular-data-generation) — Synthetic Tabular Data Generation [TabGAN](https://github.com/Diyago/Tabular-data-generation) is a Python library for generating high-quality synthetic tabular data using multiple generative approaches through a unified API: - **CTGAN** (Conditional Tabular GAN) for mixed data types - **ForestDiffusion** (tree-based diffusion) for structured data - **GReaT** (Large Language Models) for semantic dependencies ### Key Features - Unified API across GANs, Diffusion Models, and LLMs - Adversarial filtering ensures distribution consistency - Privacy metrics (DCR, NNDR, membership inference) - Constraint enforcement (range, uniqueness, formula, regex) - HTML quality reports with distribution comparisons - sklearn `TabGANTransformer` for Pipeline integration - 100K+ PyPI downloads, 115 tests, Apache 2.0 *Paper: [Tabular GANs for uneven distribution](https://arxiv.org/abs/2010.00638)* --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-04-17 07:38:01 -05:00

GiteaMirror closed this issue

2026-04-17 07:38:01 -05:00

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Reference: github-starred/awesome-python#6710