There are 21 repositories under factorization-machines topic.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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.
Factorization Machine models in PyTorch
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.
DeepTables: Deep-learning Toolkit for Tabular data
TenforFlow Implementation of Neural Factorization Machine
TensorFlow Implementation of Attentional 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).
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
A library for factorization machines and polynomial networks for classification and regression in Python.
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
KDD17_FMG
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
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
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
Building recommender systems in Julia
Attention,Factorization Machine, Deep Learning, Recommender System
paper collection for recommendation aspet
Some popular algorithms(dbscan,knn,fm etc.) on spark
#nowplaying-RS: Music Recommendation using Factorization Machines
Solution to Kaggle's Mercari Price Suggestion Competition
My simplest implementations of common ML algorithms