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 about a month ago)

Stargazers 221 (0 this week)

Watchers 4 (0 this week)

Forks 25

License mit

Ranking

RepositoryStats indexes 609,066 repositories, of these worldbank/REaLTabFormer is ranked #170,873 (72nd percentile) for total stargazers, and #381,252 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,912/18,075.

worldbank/REaLTabFormer is also tagged with popular topics, for these it's ranked: deep-learning (#3,385/8637), gpt (#456/1170), transformers (#347/865)

Other Information

worldbank/REaLTabFormer has 1 open pull request on Github, 21 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 30 open issues and 43 closed issues.

There have been 10 releases, the latest one was published on 2024-12-13 (about a month 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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Recent Commit History

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: 2025-01-26 @ 07:19pm, id: 563089528 / R_kgDOIZAQeA