# worldbank/REaLTabFormer

<https://repo.masters-masters.com/en/repos/worldbank/REaLTabFormer>

[Home](https://repo.masters-masters.com/en) › [worldbank](https://repo.masters-masters.com/en/owners/worldbank) › [REaLTabFormer](https://repo.masters-masters.com/en/repos/worldbank/REaLTabFormer)

worldbank/REaLTabFormer has 247 stars on GitHub. Its RepoMasters card: Prototype tier. A suite of auto-regressive and Seq2Seq (sequence-to-sequence)…

| Field | Value |
| --- | --- |
| Owner | [worldbank](https://repo.masters-masters.com/en/owners/worldbank) |
| Stars | 247 |
| Forks | 27 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2022 |
| Topics | data-generation, deep-learning, seq2seq-model, synthetic-data, synthetic-dataset-generation, tabular-data, transformers, gpt, gpt-2 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [worldbank/REaLTabFormer](https://github.com/worldbank/REaLTabFormer) |

## Repository

A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.