There are 2 repositories under wide-and-deep topic.
TensorFlow template application for deep learning
DeepTables: Deep-learning Toolkit for Tabular data
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.
Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
深度学习与推荐系统学习,理论结合代码更香。
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
Build a deep learning model for predicting the price of wine given the description
[제 10회 투빅스 컨퍼런스] Tripbigs - 호텔부터 맛집까지, 여행객을 위한 추천 시스템
SIGSPATIAL 2021 GISCUP ETA Contest
This is a C# WPF software, which helps to understand how TensorFlow and computer vision works in general. The efficiency of code will be improved as the project expands. Feel free to suggest how the code can be improved.
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
A comprehensive toolkit package designed to help you accurately predict key metrics in commercial area
Handwritten Text Extraction from an Image of a Document using Transformers
Predicting the Euro price using news and price fluctuations.
[제 10회 투빅스 컨퍼런스] Tripbigs - 호텔부터 맛집까지, 여행객을 위한 추천시스템
A flexible package to combine tabular data with text and images using Wide and Deep models in Pytorch