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Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Factorization Machine models in PyTorch
DeepTables: Deep-learning Toolkit for Tabular data
原理解析及代码实战,推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴,欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues,也可加文末的联系方式向我询问!
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.
Easy-to-use pytorch-based framework for RecSys models
一些CTR模型和常见特征工程的方法
A easy library for recommendation system or computational advertising
Explicit high order interaction models implemented in Keras, including: DCN, xDeepFM, AutoInt etc.
Deep-learning based CTR models implemented with tensorflow2.0. / 使用tensorflow2.0实现的一些基于深度学习的CTR模型