Popular GitHub Repositories for Higgs Boson

Event level classifier for the hh-->yybb analysis using multi-stream RNNs

A solution to the Higgs boson machine learning challenge

Deep Learning code for Higgs Boson Dataset

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.?.

The aim of this project is to use ML algorithms to tackle various challenges in LHC.

GPU-based ML to classify Higgs boson signal from background in particle physics using RAPIDS framework

This project leverages H2O.ai AutoML to classify Higgs Boson signal and background events from particle collision data. Using advanced ensemble learning, feature engineering, and hyperparameter tuning, the model achieves 98-100% accuracy. The project focuses on optimizing classification performance while ensuring scalability and interpretability.