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ML for Science Course for DiRAC - Offered by SciML - November, 2021

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sciml-workshop

Practical notebooks for the SciML workshop

Google Colab

Directions for setup

Notes while running

  • At the start of the session make sure you are running a GPU. NB - if you go back and change this the notebook will have to restart.
    • Runtime → Runtime Type → Hardware Accelerator = GPU
  • If you wish to keep a copy with saved changes, there are two options:
    • To download the notebook to your computer: File → Download .ipynb
    • To save a copy in your Google Drive: File → Save a copy in Drive

SCD Cloud

Directions for setup

  • Go to SCD Cloud's JupyterHub https://training.jupyter.stfc.ac.uk
  • Click on the "sign-up"
  • Enter your supplied username (sciml-XX) and a password of your choice.
  • Click "Create User"
  • Login with your username and password
  • On the server options page choose "SciML GPU environment"
  • Click "Start"
  • Wait a minute or two for your environment to load.

Authors

Keith Butler, Kuangdai Leng, Sam Jackson, Jaehoon Cha, Susmita Basak, Jeyan Thiyagalingam

Scientific Machine Learning (SciML) Group, Scientific Computing Department, Science and Technology Facilities Council

Richard Regan, Clare Jenner, Mark Wilkinson

Distributed Research utilising Advanced Computing Community

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ML for Science Course for DiRAC - Offered by SciML - November, 2021

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  • Jupyter Notebook 100.0%