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 34 (last one 20 days ago)

Stargazers 212 (0 this week)

Watchers 4 (0 this week)

Forks 23

License mit

Ranking

RepositoryStats indexes 579,238 repositories, of these worldbank/REaLTabFormer is ranked #170,337 (71st percentile) for total stargazers, and #371,611 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,856/16,882.

worldbank/REaLTabFormer is also tagged with popular topics, for these it's ranked: deep-learning (#3,398/8339), gpt (#435/1098), transformers (#330/817)

Other Information

worldbank/REaLTabFormer has Github issues enabled, there are 29 open issues and 42 closed issues.

There have been 9 releases, the latest one was published on 2024-10-18 (20 days ago) with the name v0.2.1.

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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34 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: 2024-11-05 @ 01:24pm, id: 563089528 / R_kgDOIZAQeA