pyg-team/pytorch-frame
A PyTorch extension for building neural networks on heterogeneous tabular data with support for diverse column types.
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PyTorch Frame is a modular deep learning extension for PyTorch specialized in processing heterogeneous tabular data. It provides neural network implementations for tabular learning, supporting numerical, categorical, time, text, and image columns. The library includes benchmark datasets, mini-batch loaders, and interfaces for integrating custom data and model architectures including Large Language Models.
Frequently asked
- What is pyg-team/pytorch-frame?
- A PyTorch extension for building neural networks on heterogeneous tabular data with support for diverse column types.
- Is pytorch-frame open source?
- Yes — pyg-team/pytorch-frame is open source, released under the MIT license.
- What language is pytorch-frame written in?
- pyg-team/pytorch-frame is primarily written in Python.
- How popular is pytorch-frame?
- pyg-team/pytorch-frame has 793 stars on GitHub.
- Where can I find pytorch-frame?
- pyg-team/pytorch-frame is on GitHub at https://github.com/pyg-team/pytorch-frame.