REaLTabFormer

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

worldbank/REaLTabFormer

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

REaLTabFormer grew +1.2% in the last 30 days, ranks 63rd of 103 in Pretraining & Training, last commit 293 days ago.

Star trajectory

115 days tracked
2026-07-02247 stars today2026-10-25
Momentum

+1.2% in 30d, above the Pretraining & Training median of +0.0%.

Maintenance

Last commit 293 days ago, staler than the median of 163d.

How it compares in Pretraining & Training

REaLTabFormer
247
stars
+1.2% 30d
commit 293 days ago
Pretraining & Training median
316
stars
+0.0% 30d
commit ~163d ago
Leader · maxtext
2.4k
stars
+0.9% 30d
commit today

Ranked 63rd of 103 by stars.

Language
Jupyter Notebook
License
MIT License
Contributors
6
Forks
27
Watchers
2
Open issues
31
Releases
12
Created
2022-11-07
Stars this week
+1

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