PolylearnA library for factorization machines and polynomial networks for classification and regression in Python.
DeeptablesDeepTables: Deep-learning Toolkit for Tabular data
RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Flurs🌊 FluRS: A Python library for streaming recommendation algorithms
Fwumious wabbitFwumious Wabbit, fast on-line machine learning toolkit written in Rust
RankfmFactorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Ctr model zoosome ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
DeepmatchA 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 fastFM: A Library for Factorization Machines
TffmTensorFlow implementation of an arbitrary order Factorization Machine
LightctrLightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
DeepctrEasy-to-use,Modular and Extendible package of deep-learning based CTR models .
Ytk LearnYtk-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).
DaisyrecA 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
XlearnHigh 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 XnnTensorflow implementation of DeepFM variant that won 4th Place in Mercari Price Suggestion Challenge on Kaggle.
spark-fmA parallel implementation of factorization machines based on Spark
deep-ctrNo description or website provided.