SalvatoreRa/tabular-deep-learning-survey

This project is a comprehensive guide for data scientists and machine learning engineers looking to apply deep learning techniques to structured, tabular data. It provides an organized overview of current research, from basic neural networks to transformer models, for tasks like prediction, classification, and imputation. The project helps you understand which deep learning models are best suited for your specific tabular datasets, enabling you to improve prediction accuracy and model performance.