Factorization Machines Python Packages

deepctr

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

torchfm

Factorization Machine models in PyTorch

myfm

A Python/C++ implementation of Bayesian Factorization Machines

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.

rtrec

An realtime recommendation system supporting online updates

rankfm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

deepmatch

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**.

flurs

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

daisyrec

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

pyfms

A Theano-based Python implementation of Factorization Machines

reco

a simple yet versatile recommendation systems library in python

tffm

TensorFlow implementation of an arbitrary order Factorization Machine

recstudio

A modular, efficient, unified, and comprehensive recommendation library based on PyTorch.

xlearntestbyamshoreline

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.

xdeepctr

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