A framework for large scale recommendation algorithms.
TensorFlow template application for deep learning
DeepTables: Deep-learning Toolkit for Tabular data
TensorFlow Script
CTRMo Xing Dai Ma He Xue Xi Bi Ji Zong Jie
Wide and Deep Learning for CTR Prediction in tensorflow
Zhu Liu Tui Jian Xi Tong RankSuan Fa De Shi Xian
Deep-Learning based CTR models implemented by PyTorch
Keras implementation of Tensorflow's Wide and Deep Algorithm
Shen Du Xue Xi Yu Tui Jian Xi Tong Xue Xi ,Li Lun Jie He Dai Ma Geng Xiang .
Zi Ji Shi Xian De Shen Du Xue Xi Xun Lian Kuang Jia ,Chun javaShi Xian ,Mei You Guo Duo De Di San Fang Yi Lai ,Ke Fen Bu Shi Xun Lian
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
a simple yet versatile recommendation systems library in python
Recommendation Models in TensorFlow
rater, recommender systems. Tui Jian Mo Xing ,Bao Gua :DeepFM,Wide&Deep,DIN,DeepWalk,Node2VecDeng Mo Xing Shi Xian ,Kai Xiang Ji Yong .
This project demonstrates how to run and save predictions locally using exported tensorflow estimator model
wide deep ctr model by pytorch
Implementation with Pytorch of DeepCrossing, DeepFM,NFM,Wide&Deep
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