Deep Learning for Tabular Data using PyTorch

On a multiclass classification problem Deep learning has proved to be groundbreaking in a lot of domains like Computer Vision, Natural Language Processing, Signal Processing, etc. However, when it comes to more structured, tabular data consisting of categorical or numerical variables, traditional machine learning approaches (such as Random Forests, XGBoost) are believed to perform better. […]