Machine Learning for Fundamental Physics School 2024

Prerequisites

LXPlus Account:

ATLAS experiment members will need a working LXPlus account for one tutorial

Python packages:

It is absolutely necessary that you are familiar with Python. We strongly recommend you to go through the basics (eg. numpy, matplotlib) if you do not use python frequently.

• Go through the python.ipynb, numpy.ipynb, matplotlib.ipynb notebooks of this tutorial: https://github.com/maxnoe/scientific_python_notebooks
• A more detailed tutorial (optional): https://swcarpentry.github.io/python-novice-inflammation/01-intro.html

 

ML packages: PyTorch, Keras/TF, SKLearn

It will be worthwhile to already familiarize yourself with common ML tools like PyTorch, Keras and SKLearn. We will quickly introduce these tools before using them for more advanced tutorials.

PyTorch

• PyTorch tutorials: https://pytorch.org/tutorials/
• PyTorch video lecture: Deep Learning With PyTorch - Full Course

Keras and TensorFlow

• Keras tutorials: https://www.tensorflow.org/tutorials
• TensorFlow + Keras video lecture: TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial