higgs-boson
There are 0 repository under higgs-boson topic.
jmduarte / capstone-particle-physics-domain
Website for Particle Physics Domain (UCSD Capstone)
Language:Jupyter Notebook 8FAIR4HEP / hbb_interaction_network
FAIR AI model (interaction network) for identifying H(bb) jets at the LHC
Language:Jupyter Notebook 4WilliamHirst / Advanced-Machine-Learning
This is a reoository with the code created for a course on Advanced machine learning in physics. The project was based on the Higgs ML challenge from 2012.
Language:Python 4giacomoorsi / HiggsBosonChallenge
Code for the Higgs Boson Machine Learning Challenge organised by CERN & EPFL
Language:Python 3copev313 / Deep-Learning-Introduction
A collection of deep learning exercises collected while completing an Intro to Deep Learning course. We use TensorFlow and Keras to build and train neural networks for structured data.
Language:Jupyter Notebook 2sohailahmedkhan / Searching-for-exotic-particles-in-high-energy-physics-using-classic-supervised-learning-algorithms
Supervised classification algorithms employed to explore and identify Higgs bosons from particle collisions, like the ones produced in the Large Hadron Collider. HIGGS dataset is used..
Language:Python 2sugatagh / Higgs-Boson-Event-Detection
The goal of the project is to classify an event produced in the particle accelerator as background or signal. A background event is explained by the existing theories and previous observations. A signal event, however, indicates a process that cannot be described by previous observations and leads to the potential discovery of a new particle.
Language:Jupyter Notebook 2louisheery / higgs-ML
🔭 📈 Supervised Machine Learning techniques used to categorise Higgs boson events using data collected from the Large Hadron Collider, CERN.
Language:Python 1mariamkhmahran / higgs-boson-discrimination
GPU-based ML to classify Higgs boson signal from background in particle physics using RAPIDS framework
Language:Jupyter Notebook 1shprdchris / 20-07_GABE_chris
Heavily modified version of GABE C++ code for paper https://arxiv.org/abs/2007.10978. Solves coupled differential equations for early universe reheating on finite spatial lattice. Plus helpful mathematica noteboks (made by me).
Language:Mathematica 1souvik1982 / HbbHbb_Run2
Analysis software for resonant Higgs boson pair production decaying to bottom quark anti-quark pairs in LHC Run II. https://cds.cern.ch/record/2141024/files/HIG-16-002-pas.pdf
Language:C++ 1hiroki-kozuki / STOM-Higgs-Boson-Mass-Data-Analysis
A 1st year statistics of measurements project for the undergraduate physics course at Imperial College London.
Language:Python 0jkielbaey / mlnd-capstone
Capstone project for Udacity Machine Learning Nanodegree
Language:HTML 0MarijaLaz / Higgs-Boson-Challenge
Machine Learning Project for the course Machine Learning at EPFL.
Language:Jupyter Notebook 0- Language:Mathematica 0
ruelasvh / higgsML
Study of Higgs boson to tau-tau decay channel classification using shallow neural networks.
Language:MATLAB 0v-hill / invisible-higgs
Repository for 2020/2021 Physics MSci project using TensorFlow to construct machine learning algorithms for detecting invisible Higgs Boson decays at the CMS detector (LHC) CERN.
Language:Jupyter Notebook 0EliaFantini / 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 Notebookgiordano-lucas / higgs-boson-classification
Higgs Boson Classification project for the Machine Learning course CS-433 at EPFL
Language:Jupyter Notebookjean-pierreBoth / Higgs.jl
Basic exploration of Higgs boson data
Language:Jupyter NotebookNeerajHazarika / kaggle-intro-to-deeplearning
This is a report on what are the things that I have learned from the Kaggle course intro to deep learning.
tushar2704 / Higgs_Boson_Event_Detection
Classifying whether the given event was a signal or a background noise in the process of decay for Higgs particle acceleration.
Language:Jupyter Notebook
