Practical notebooks for the SciML workshop
- Go to colab https://colab.research.google.com/notebooks/intro.ipynb
- File → Open Notebook
- Click tab "Github"
- In the search box enter https://github.com/stfc-sciml/sciml-workshop
- Scroll down and choose the appropriate lesson
- Authorise yourself with Google.
- 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
- 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.
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