worldbank / REaLTabFormer

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

Date Created 2022-11-07 (2 years ago)

Commits 37 (last one 12 days ago)

Stargazers 223 (0 this week)

Watchers 3 (0 this week)

Forks 26

License mit

Ranking

RepositoryStats indexes 630,459 repositories, of these worldbank/REaLTabFormer is ranked #173,637 (72nd percentile) for total stargazers, and #416,812 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,982/18,993.

worldbank/REaLTabFormer is also tagged with popular topics, for these it's ranked: deep-learning (#3,416/8797), gpt (#475/1232), transformers (#355/898)

Other Information

worldbank/REaLTabFormer has Github issues enabled, there are 30 open issues and 44 closed issues.

There have been 10 releases, the latest one was published on 2024-12-13 (3 months ago) with the name v0.2.2.

Homepage URL: https://worldbank.github.io/REaLTabFormer/

All Topics

gpt gpt-2 tabular-data transformers deep-learning seq2seq-model synthetic-data data-generation synthetic-dataset-generation

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37 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2025-03-14 @ 09:44am, id: 563089528 / R_kgDOIZAQeA