Implementation and experiments of graph embedding algorithms.

Apache Spark - A unified analytics engine for large-scale data processing

Classical RecSys algorithms implemented by using TensorFlow Estimators

A distributed graph deep learning framework.

Protocol Buffers - Google's data interchange format

Must-read papers on network representation learning (NRL) / network embedding (NE)

Deep Learning Specialization by Andrew Ng on Coursera.

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Topic Modelling for Humans

Implementation of Graph Convolutional Networks in TensorFlow

Keras-based implementation of Relational Graph Convolutional Networks

Spark+AI Summit Europe 2018 PPT下载[共95个]

Deep Learning framework for Julia

The Julia Programming Language

Models and examples built with TensorFlow

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2