Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

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.

fastFM: A Library for Factorization Machines

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

TensorFlow implementation of an arbitrary order Factorization Machine

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.

TenforFlow Implementation of Neural Factorization Machine

Some deep learning based recsys for open learning.

TensorFlow Implementation of Attentional Factorization Machine

Factorization Machine models in PyTorch

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).

Tensorflow implementation of DeepFM variant that won 4th Place in Mercari Price Suggestion Challenge on Kaggle.

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

A library for factorization machines and polynomial networks for classification and regression in Python.

DeepTables: Deep-learning Toolkit for Tabular data

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

KDD17_FMG

🌊 FluRS: A Python library for streaming recommendation algorithms

Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing

A parallel implementation of factorization machines based on Spark

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Attention,Factorization Machine, Deep Learning, Recommender System

a simple yet versatile recommendation systems library in python

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

⚙️ A Theano-based Python implementation of Factorization Machines (Rendle 2010).

Solution to Kaggle's Mercari Price Suggestion Competition

#nowplaying-RS: Music Recommendation using Factorization Machines

A Python/C++ implementation of Bayesian Factorization Machines