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.

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

深度学习与推荐系统学习，理论结合代码更香。

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。

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

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