Recommender Learning with Tensorflow2.x

Factorization Machine models in PyTorch

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

detector for rotated-object based on CenterNet/基于CenterNet的旋转目标检测

CTR模型代码和学习笔记总结

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

Don't feel pain to use Deformable Convolution

Implements of Awesome RecSystem Models with PyTorch/TF2.0

主流推荐系统Rank算法的实现

基于 Pytorch 实现推荐系统相关的算法

Easy-to-use pytorch-based framework for RecSys models

用pytorch 方法复现了二十多个经典的推荐算法论文，其中包含排序论文和推荐召回论文，并在demo里面选了一个召回模型和排序模型的运行示例。

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

Web application for the management of Dynamic Circuits Networks (DCNs)

keras implementation of deformable convolution layer