Jupyter Notebooks for the 2024 CERN School of Computing Course on Machine Learning

https://indico.cern.ch/event/1376644/

installation instructions for local execution

Some dependencies are rather hard to install for this workflow. The requirements.txt was tested with python 3.9 to 3.12.

0. clone this repo: git clone https://github.com/psteinb/2024-intro2ml-cern-school-of-computing csc24-ml
1. change into the repo root folder: cd csc24-ml
2. create a venv by python -m venv py311 --upgrade-deps (e.g. for python 3.11)
3. setup that venv by doing source py311/bin/activate
4. (optional) install uv for faster installations (see uv docs)
5. either do uv pip install -r ./requirements.txt or plain python -m pip install -r ./requirements.txt

If you like to train cpu-only, you can install torch without CUDA support. This is best beformed between step 2 and 4 in the recipe above by running:

uv pip install --extra-index-url https://download.pytorch.org/whl/cpu torch

or without uv:

python -m pip install --extra-index-url https://download.pytorch.org/whl/cpu torch

Usage on SWAN

If you want to use the CERN SWAN system, here is a brief intro on how to do it:

0. open https://swan.cern.ch (provide your credentials if required)

1. you should be queried for the software environment to setup (if not use ... in the top menue and click Change configuration)

Make the changes as highlighted below:

2. Under My Projects, click on Download Project from git (right hand side)

You should see this now:

3. insert the URL to this repo https://github.com/psteinb/2024-intro2ml-cern-school-of-computing.git (including a trailing .git suffix as indicated)

4. Hit Download!

5. You should see something like this

6. Please open notebooks/00_intro2ml_envcheck.ipynb. Read and run all cells!

Updating your project

If this repo changes, you may want to update your version of this repository on SWAN. To do this, you have to follow these 2 steps:

1. Open a terminal in the SWAN webgui

2. Navigate to your project space. According to the steps outlined earlier, this should be:

cd SWAN_projects/2024-intro2ml-cern-school-of-computing/

3. perform a git pull

git pull

This might look as much as:

Check your Software Stack

This repo has a small utility prepared which can check if you software environment is ready. Either run:

python notebooks/00_intro2ml_envcheck.py

or open the paired notebook notebooks/00_intro2ml_envcheck.ipynb and execute all cells.