SRGCAE

Graph Neural Network Library for PyTorch

links to conference publications in graph-based deep learning

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

A distributed graph deep learning framework.

Conditionally run actions based on files modified by PR, feature branch or pushed commits

Advanced Deep Learning with Keras, published by Packt

Use unsupervised and supervised learning to predict stocks

Graph Convolutional Networks for Text Classification. AAAI 2019