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Top 27 factorization-machines open source projects

Polylearn
A library for factorization machines and polynomial networks for classification and regression in Python.
Deeptables
DeepTables: Deep-learning Toolkit for Tabular data
Rsparse
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Flurs
🌊 FluRS: A Python library for streaming recommendation algorithms
Fwumious wabbit
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
Rankfm
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Ctr model zoo
some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
Deepmatch
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.
Tffm
TensorFlow implementation of an arbitrary order Factorization Machine
Lightctr
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.
Pytorch Fm
Factorization Machine models in PyTorch
Neural factorization machine
TenforFlow Implementation of Neural Factorization Machine
Attentional factorization machine
TensorFlow Implementation of Attentional Factorization Machine
Ytk Learn
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).
Daisyrec
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
Xlearn
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.
Tensorflow Xnn
Tensorflow implementation of DeepFM variant that won 4th Place in Mercari Price Suggestion Challenge on Kaggle.
spark-fm
A parallel implementation of factorization machines based on Spark
customer churn prediction
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
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