pytorch_tabular
The PyTorch Tabular library facilitates deep learning for tabular data by offering intuitive interfaces, customizable configurations, and scalability. Based on PyTorch and PyTorch Lightning, it accommodates various models such as FeedForward Networks, TabNet, and Mixture Density Networks. The library comes with pre-configured setups for streamlined model training and deployment. It also supports custom model implementation, supplemented by extensive documentation and tutorials. Upcoming improvements will feature hyperparameter tuning and multi-label classification support, maintaining its utility in both research and practical contexts.
