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GitHub / worldbank / REaLTabFormer
A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/worldbank%2FREaLTabFormer
Stars: 187
Forks: 22
Open Issues: 26
License: mit
Language: Jupyter Notebook
Repo Size: 6.12 MB
Dependencies:
25
Created: over 1 year ago
Updated: 2 days ago
Last pushed: about 1 month ago
Last synced: about 7 hours ago
Commit Stats
Commits: 26
Authors: 3
Mean commits per author: 8.67
Development Distribution Score: 0.077
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/worldbank/REaLTabFormer
Topics: data-generation, deep-learning, gpt, gpt-2, seq2seq-model, synthetic-data, synthetic-dataset-generation, tabular-data, transformers
Files
Dependencies
- jupyter-book >=0.12.0
- datasets >= 2.6.1
- numpy >= 1.21.6
- pandas >= 1.3.5
- scikit_learn >= 1.0.2
- shapely >= 1.8.5.post1
- torch >= 1.13.0
- tqdm >= 4.64.1
- transformers >= 4.24.0
- bandit >=1.6.2,<2.0 test
- black * test
- build * test
- import-linter ==1.2.6 test
- openpyxl * test
- pre-commit >=2.9.2,<3.0 test
- pylint >=2.5.2,<3.0 test
- pytest * test
- pytest-cov * test
- pytest-mock >=1.7.1,<2.0 test
- pytest-xdist * test
- trufflehog * test
- twine * test
- actions/checkout v3 composite
- actions/setup-python v4 composite
- peaceiris/actions-gh-pages v3 composite