#计算机科学#Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
翻译 - 基于深度学习的CTR模型的易于使用，模块化和可扩展的软件包。
#计算机科学#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 int...
翻译 - 高性能，易于使用且可扩展的机器学习（ML）软件包，包括适用于Python和CLI接口的线性模型（LR），因式分解机（FM）和现场感知的因式分解机（FFM）。
Recommender Learning with Tensorflow2.x
Factorization Machine models in PyTorch
Implements of Awesome RecSystem Models with PyTorch/TF2.0
#计算机科学#some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
#算法刷题#rater, recommender systems. 推荐模型，包括：DeepFM，Wide&Deep，DIN，DeepWalk，Node2Vec等模型实现，开箱即用。
Field-aware factorization machine (FFM) with FTRL
Call Java from C++ and C++ from Java with a variety of old and new projects like JNI, JNA, JNR, FFM, JExtract, BridJ, GraalVM, JNI-Bind, etc.
A easy library for recommendation system or computational advertising