Fast Factorization Machines
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Updated
Mar 26, 2018 - C++
Fast Factorization Machines
Running field-aware factorization machines on the Criteo data
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.
A Python/C++ implementation of Bayesian Factorization Machines
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.
A high-performance toolkit for LR/FM training on large-scale sparse data.
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