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14 search results found

Hepml Livingreview ⭐ 293

Living Review of Machine Learning for Particle Physics

Hep Ml Resources ⭐ 224

Listing of useful learning resources for machine learning applications in high energy physics (HEPML)

Machine Learning for High Energy Physics.

Calogan ⭐ 103

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

LUMIN - a deep learning and data science ecosystem for high-energy physics.

Adversarial Jets ⭐ 45

Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics

Materials for ML course at Lebedev Physical Institute

Gnn_tracking ⭐ 24

Charged particle tracking with graph neural networks

Minimal heavy ion physics environment for Machine Learning

Clusterking ⭐ 11

Cluster sets of histograms/curves, in particular kinematic distributions in high energy physics.

Hsf Training Ml Webpage ⭐ 8

Introduction to machine learning

Mlaas4hep ⭐ 8

Machine Learning as a Service for HEP

Performance Pred ⭐ 5

Code developed during my internship at CERN Openlab in summer 2022

Hep Analysis ⭐ 5

hep-analysis aims to reproduce the traditional data-analysis workflow in high-energy physics using Python.

Tasks_hep_2020 ⭐ 5

Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets

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