TensorFlow template application for deep learning
A framework for large scale recommendation algorithms.
TensorFlow Script
DeepTables: Deep-learning Toolkit for Tabular data
CTR模型代码和学习笔记总结
Wide and Deep Learning for CTR Prediction in tensorflow
Deep-Learning based CTR models implemented by PyTorch
主流推荐系统Rank算法的实现
Keras implementation of Tensorflow's Wide and Deep Algorithm
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
深度学习与推荐系统学习，理论结合代码更香。
自己实现的深度学习训练框架，纯java实现，没有过多的第三方依赖，可分布式训练
Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
a simple yet versatile recommendation systems library in python
Recommendation Models in TensorFlow
rater, recommender systems. 推荐模型，包括：DeepFM，Wide&Deep，DIN，DeepWalk，Node2Vec等模型实现，开箱即用。
This project demonstrates how to run and save predictions locally using exported tensorflow estimator model
Implementation with Pytorch of DeepCrossing, DeepFM,NFM,Wide&Deep
wide deep ctr model by pytorch
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