TensorFlow template application for deep learning

TensorFlow Script

A flexible package to combine tabular data with text and images using Wide and Deep models in Pytorch

Wide and Deep Learning for CTR Prediction in tensorflow

Keras implementation of Tensorflow's Wide and Deep Algorithm

DeepTables: Deep-learning Toolkit for Tabular data

Deep-Learning based CTR models implemented by PyTorch

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

CTR模型代码和学习笔记总结

LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

Recommendation Models in TensorFlow

a simple yet versatile recommendation systems library in python

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

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

基于wide deep模型的CTR预估，从训练到部署

various models implemented via tensorflow

Build a deep learning model for predicting the price of wine given the description

wide deep ctr model by pytorch

rater is a comparative framework for multimodal recommender systems. It was developed to facilitate the designing, comparing, and sharing of recommendation models.

Multimodal deep learning package that uses both categorical and text-based features in a single deep architecture for regression and binary classification use cases.

Deep Learning Project using Yelp Dataset

The notebooks for the competition Data Science Bowl 2019

implement kerase base wide_deep

My foray into the Coursera tensorflow specialization, working with BigQuery, GCP and TF2 with TPU's