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worldbank/REaLTabFormer

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

Owner
worldbank (organization)
Stars
Stars: 247
Forks
Forks: 27
Language
Jupyter Notebook
License
MIT
Created
2022
Topics
data-generationdeep-learningseq2seq-modelsynthetic-datasynthetic-dataset-generationtabular-datatransformersgptgpt-2
Tier
Prototype (100 to 249 ★) What this tier means
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