higgs-boson-challenge

There are 12 repositories under higgs-boson-challenge topic.

  • bourcierj/higgsml

    A solution to the Higgs boson machine learning challenge

    Language:HTML4101
  • efeacer/EPFL_ML_Project1

    First project of the EPFL Machine Learning course, which aims to solve the Higgs Boson classification problem using various regression techniques. (2018-2019)

    Language:Python3201
  • giacomoorsi/HiggsBosonChallenge

    Code for the Higgs Boson Machine Learning Challenge organised by CERN & EPFL

    Language:Python3103
  • GilesStrong/HiggsML_Lumin

    Repo supporting arXiv:2002.01427 [physics.data-an]

    Language:Jupyter Notebook2300
  • iamanshika/Higgs-Boson-ML

    The discovery of Higgs particle was announced on 4th July 2012. In 2013, Nobel Prize was conferred upon two scientists, Francois Englert and Peter Higgs for their contribution towards its discovery. A characteristic property of Higgs Boson is its decay into other particles through different processes. At the ATLAS detector at CERN, very high energy protons are accelerated in a circular trajectory in both directions thus colliding with themselves and resulting in hundreds of particles per second. The goal of the Challenge is to improve the classification procedure that produces the selection region. We have used Random Forest Classifiers and experimented with VIME.

    Language:Jupyter Notebook1100
  • Quentin18/higgs-boson-challenge

    Higgs Boson ML Challenge

    Language:Jupyter Notebook120
  • rubenguevara/QuantumMachineLearning

    Special curriculum project at UiO. Where the aim was to do the Higgs Boson Machine Learning challenge from 2014 using Neural Networks and Quantum Neural Networks

    Language:Python1201
  • ArbitraryY/higgsmlmdb

    Import the Higgs Machine Learning Challenge data (CSV) to MongoDB Instance

    Language:Python0200
  • n1ghtf4l1/turbo-octo-waffle

    Detecting the Higgs Boson particle with TPUs

    Language:Jupyter Notebook0200
  • NiccoloSacchi/ml-boson

    Higgs Boson Challenge: a hard classification task achieved without the help of a machine learning library.

    Language:Jupyter Notebook0301
  • EliaFantini/Higgs-Boson-Classifier-using-LHC-CERN-data

    An AICrowd Challenge: Logistic Regression classifier that predicts whether an event's decay signature was the one of a Higgs Boson

    Language:Jupyter Notebook20
  • liuvince/polytech-ml-project

    Rapport de projet en apprentissage statistique MAIN5 2019-2020. Higgs Boson Machine Learning Kaggle Challenge.