# diyago/tabular-data-generation

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570 stars · 83 forks · Python · Apache-2.0

## Links

- GitHub: https://github.com/Diyago/Tabular-data-generation
- Homepage: https://towardsdatascience.com/review-of-gans-for-tabular-data-a30a2199342
- awesome-repositories: https://awesome-repositories.com/repository/diyago-tabular-data-generation.md

## Topics

`adversarial-filtering` `deep-learning` `feature-engineering` `gan` `gans` `machine-learning` `python` `tabular-data` `train-dataframe`

## Description

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.

## Tags

### Part of an Awesome List

- [Machine Learning](https://awesome-repositories.com/f/awesome-lists/ai/machine-learning.md) — Synthetic tabular data generation using GANs, Diffusion Models, and LLMs.
- [Data Annotation and Synthesis](https://awesome-repositories.com/f/awesome-lists/data/data-annotation-and-synthesis.md) — Synthetic tabular data generation using generative models.
- [Data-centric AI](https://awesome-repositories.com/f/awesome-lists/data/data-centric-ai.md) — Synthetic tabular data generation using generative models.