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SC21 Tutorial on Scientific Machine Learning

In this repository, you can find all the example notebooks used for SC21 full-day tutorial: Scientific Machine Learning using HPC Servers on Cloud



Target Audience

Practitioners who use numerical simulations of Partial Differential Equations (PDEs) in analysis, optimization, design and control of complex engineered systems

Content level

20% Beginner, 40 % Intermediate, 40% Advanced


Partial Differential Equations, Numerical methods, Machine Learning, Deep Learning, High Performance Computing, Python programming, Jupyter

Getting Started

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  • Go through the onboarding screens

  • You will see a list of tutorials that are ready to use

  • Group by Topic to see Beginner, Intermediate, Advanced tutorials

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  • Select a tutorial and wait for Jupyter Compute to start

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  • Run the tutorial notebook one cell at a time. If you are not familiar with Jupyter notebook please google for a relevant tutorial

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  1. My tutorial screen is stuck at Please Wait Jupyter Compute is not started yet for more than 5 minutes. What do I do?

This can happen due to following reasons:

  • When you log in for the first time. Resources like persistent disk space and Azure blob storage are being created for you to store the tutorials and for you to create new notebooks. For first login, expect up to 10 minutes delay.

  • There is a delay in creating containers when new nodes are being added to Azure Kubernetes cluster. A new node creation and downloading Docker images can take up to 10 minutes. If it takes more than 15 minutes, please ping us on slack.

  • Similar to system reboot for Windows that fixes all the issues, we have two fixes 1) Browser refresh, 2) Log out/Log in to get new containers.


Scientific Machine Learning Tutorials






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