TensorFlow template application for deep learning
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Updated
Jan 3, 2019 - Python
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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.
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a simple yet versatile recommendation systems library in python
This project demonstrates how to run and save predictions locally using exported tensorflow estimator model
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
My foray into the Coursera tensorflow specialization, working with BigQuery, GCP and TF2 with TPU's
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