PyTorch Tabular provides a high-level interface for deep learning architectures on tabular datasets. It wraps PyTorch and PyTorch Lightning to handle scaling on GPU or CPU with automatic logging. The framework aims to standardize deep learning workflows for structured/tabular data problems.