This repository provides a TensorFlow implementation of DeepFM, which combines Factorization Machines with deep neural networks to predict click-through rates. It takes sparse feature indices and values as input and produces binary classification or regression predictions. The model was notably used to achieve 4th place in the Mercari Price Suggestion Challenge on Kaggle.