https://github.com/rocketmlhq/sciml

Scientific Machine Learning Tutorials
https://github.com/rocketmlhq/sciml

Last synced: 14 days ago
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Scientific Machine Learning Tutorials

• Host: GitHub
• URL: https://github.com/rocketmlhq/sciml
• Owner: rocketmlhq
• Created: 2021-09-28T16:23:10.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-11-20T19:32:12.000Z (almost 3 years ago)
• Last Synced: 2024-08-01T16:46:25.579Z (3 months ago)
• Language: Jupyter Notebook
• Size: 6.13 MB
• Stars: 36
• Watchers: 5
• Forks: 11
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# 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_

## Contents

- [Resources](#resources)

- [Target Audience](#target-audience)

- [Content Level](#content-level)

- [Prerequisites](#prerequisites)

- [Getting Started](#getting-started)

- [Frequently Asked Questions](#faq)

## Resources

- [Slack Invite](https://join.slack.com/t/sciml-workspace/shared_invite/zt-xfzyqf2u-zh4GRt7sRoh4RLSY9~yyJw)

- [Youtube Playlist](https://www.youtube.com/watch?v=ssZO8Y_TqxI&list=PLcK0exoS00ZTPdvhmh0IdyCIlVQ2lzjJ5)

- [RocketML support](mailto:[email protected])

- [DeepXDE](https://github.com/lululxvi/deepxde)

- [DiffNet](https://github.com/adityabalu/DiffNet)

## 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

## Prerequisites

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

## Getting Started

- Please email [RocketML](mailto:[email protected]) for a user account on [sciml.rocketml.net](https://sciml.rocketml.net). We will send you email instructions on how to log in. 

- Log in to [sciml.rocketml.net](https://sciml.rocketml.net) using the instructions received from RocketML



- 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



- Select a tutorial and wait for Jupyter Compute to start



- Run the tutorial notebook one cell at a time. If you are not familiar with Jupyter notebook please google for a relevant [tutorial](https://www.youtube.com/watch?v=CwFq3YDU6_Y)



## FAQ

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._