Popular GitHub Repositories for Factorization Machines

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.

This repo includes some graph-based CTR prediction models and other representative baselines.

Attention,Factorization Machine, Deep Learning, Recommender System

DeepCU: Integrating Both Common and Unique Latent Information for Multimodal Sentiment Analysis, IJCAI-19

AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.

Building a movie recommender system with factorization machines on Amazon SageMaker.

Restaurant Recommendation Systems based on the Yelp dataset (2019) using Ensemble method based on Images and text from reviews.