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 36 (last one 17 days ago)

Stargazers 213 (-1 this week)

Watchers 4 (0 this week)

Forks 24

License mit

Ranking

RepositoryStats indexes 598,732 repositories, of these worldbank/REaLTabFormer is ranked #173,650 (71st percentile) for total stargazers, and #378,444 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,965/17,660.

worldbank/REaLTabFormer is also tagged with popular topics, for these it's ranked: deep-learning (#3,449/8543), gpt (#453/1152), transformers (#349/850)

Other Information

worldbank/REaLTabFormer has Github issues enabled, there are 29 open issues and 43 closed issues.

There have been 10 releases, the latest one was published on 2024-12-13 (17 days 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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36 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: 2024-12-26 @ 03:42am, id: 563089528 / R_kgDOIZAQeA