bdanzi/Addressing-Large-Hadron-Collider-Challenges-by-Machine-Learning bdanzi/Addressing-Large-Hadron-Collider-Challenges-by-Machine-Learning

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created almost 4 years ago
  • Updated over 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
bdanzi/Addressing-Large-Hadron-Collider-Challenges-by-Machine-Learning
github

bdanzi

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

This repositories contains proposed solutions of the exercises proposed in the course "Addressing Large Hadron Collider Challenges by Machine Learning" of the National Research University Higher School of Economics in Coursera

More Repositories

1

Higgs_exercise

This repository hosts software related to INFN-ML project (2021-2023)
Jupyter Notebook
2
star
2

drifttubes_offline_analysis

This repository has the purpose of collecting the data analysis framework of the CERN H8 test beam performed by RD_FCC Lecce and Bari group in November 2021 and July 2022
C
1
star
3

QCD_and_Monte_Carlo_techniques

This repository has the purpose of showing exercises with solutions in C++ and Python programming languages of the Tutorial "QCD and Monte Carlo Techniques" by the 2020 Online Terascale Summer School held by Hannes Jung.
Jupyter Notebook
1
star