38 Open Source Factorization Machines Software Projects

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

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.

#nowplaying-RS: Music Recommendation using Factorization Machines

Solution to Kaggle's Mercari Price Suggestion Competition

4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.

Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing

Attention,Factorization Machine, Deep Learning, Recommender System

Technical writings on Deep Learning

My simplest implementations of common ML algorithms

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

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.

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

Factorization Machine models in PyTorch

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

paper collection for recommendation aspet

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 Python/C++ implementation of Bayesian Factorization Machines

DeepTables: Deep-learning Toolkit for Tabular data

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.

fastFM: A Library for Factorization Machines

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

TensorFlow implementation of an arbitrary order Factorization Machine

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

a simple yet versatile recommendation systems library in python

Building recommender systems in Julia

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

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

:ocean: FluRS: A Python library for streaming recommendation algorithms

KDD17_FMG

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

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 parallel implementation of factorization machines based on Spark

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.

Some deep learning based recsys for open learning.

TenforFlow Implementation of Neural Factorization Machine

TensorFlow Implementation of Attentional Factorization Machine