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 for user and item 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

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).

Factorization Machine models in PyTorch

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

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

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

DeepTables: Deep-learning Toolkit for Tabular data

KDD17_FMG

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

🌊 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

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

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

⚙️ 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

零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结