pytorch-tabular/pytorch_tabular
A unified framework for Deep Learning Models on tabular data
Implements diverse neural architectures (NODE, TabNet, TabTransformer, FT-Transformer, GATE, GANDALF, DANets) optimized for tabular data, leveraging PyTorch Lightning for distributed training with automatic hardware selection and experiment logging. Supports heterogeneous data through categorical embeddings and feature interaction learning, with extensible design enabling custom model implementations.
1,640 stars. Used by 1 other package. Available on PyPI.
Stars
1,640
Forks
173
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Dependencies
11
Reverse dependents
1
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