pytorch-frame
This project introduces a modular extension to PyTorch, specifically designed for handling diverse tabular data types such as numerical, categorical, temporal, textual, and image data. It facilitates the smooth deployment of current and future deep learning techniques and supports integration with multiple architectural models such as large language models. Key features include easy-to-use batch loaders, benchmark datasets, and customizable data interfaces, advancing research in deep learning across tabular data. With a focus on modular design, this framework ensures flexibility, clarity, and reusability without favoring or disfavoring any product or service.
