Skip to content

Latest commit

 

History

History
8 lines (5 loc) · 430 Bytes

README.md

File metadata and controls

8 lines (5 loc) · 430 Bytes

ML-based E/Gamma Classification

Setup

  1. Fork or clone this repository.

  2. Download data.zip from the link below and unzip the file. Locate the repository data in this repository EGamma. https://cernbox.cern.ch/index.php/s/FcZUD9iOrS0IzYy

  3. Open EGamma_ML.ipynb and run the cells. You might need to install some packages (see pytorch.yml) if you don't already have them in the environment you are running it.