GraphCTR

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Factorization Machine models in PyTorch

TensorFlow implementation of an arbitrary order Factorization Machine

Some deep learning based recsys for open learning.

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

A highly-modularized and recommendation-efficient recommendation library based on PyTorch.

A parallel implementation of factorization machines based on Spark

Attention,Factorization Machine, Deep Learning, Recommender System

Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021

Some popular algorithms(dbscan,knn,fm etc.) on spark