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

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.​.

Capstone project for Udacity Machine Learning Nanodegree

Study of Higgs boson to tau-tau decay channel classification using shallow neural networks.

🔭 📈 Supervised Machine Learning techniques used to categorise Higgs boson events using data collected from the Large Hadron Collider, CERN.

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).

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.

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.

This is a report on what are the things that I have learned from the Kaggle course intro to deep learning.

Higgs Boson Classification project for the Machine Learning course CS-433 at EPFL

Machine Learning Project for the course Machine Learning at EPFL.

Website for Particle Physics Domain (UCSD Capstone)

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

Higgs transverse momentum distributions in Momentum and Mellin space.

A 1st year statistics of measurements project for the undergraduate physics course at Imperial College London.

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

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.

FAIR AI model (interaction network) for identifying H(bb) jets at the LHC

Basic exploration of Higgs boson data

Classifying whether the given event was a signal or a background noise in the process of decay for Higgs particle acceleration.