This repository provides PyTorch implementations of various factorization machine models and deep learning architectures used for click-through rate prediction and recommendation systems. It includes classical models like FM and FFM alongside deep models such as Wide&Deep, DeepFM, DCN, xDeepFM, and Neural Collaborative Filtering. The package also bundles common benchmark datasets for CTR prediction research.