AI Shanghai Lablet
Amazon Web Services

HA_Hero-AI

Who Are We?

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Amazon Web Services AI Shanghai Lablet was established in the fall of 2018 and is part of Amazon Web Services Machine Learning.

We focus on:

  • Open-source projects such as the popular Deep Graph Library (DGL) framework,
  • Fundamental research in the area of graph neural networks (GNNs) and their applications,
  • Impact to Amazon Web Services customers through Amazon Web Services releases such as SageMaker DGL and Netpune ML, and
  • Actively foster collaboration with the research community.

The Latest News

We Provide Open Source Projects for Researchers and Developers

DGL logo

DGL

DGL is an easy-to-use, high performance and scalable Python package for deep learning on graphs. DGL is framework agnostic, meaning if a deep graph model is a component of an end-to-end application, the rest of the logics can be implemented in any major frameworks, such as PyTorch, Apache MXNet or TensorFlow.

DGL LifeScience

DGL-LifeSci

DGL-LifeSci is a specialized package for applications in bioinformatics and cheminformatics powered by graph neural networks.

 

DGL-KE

DGL-KE

DGL-KE is an easy-to-use and highly scalable package for learning large-scale knowledge graph embeddings.

 

Publications

Machine Learning eBook 1up

See publications from Amazon Web Services AI Shanghai Lablet.

Career Opportunities

Amazon Web Services AI Shanghai Lablet is hiring full-time positions and intern positions. Please check the Amazon recruitment website for more information and job descriptions. Welcome to apply via the position link.

Machine Learning Skills Gap 1up