Alternatives and similar repositories for 2024-lbnl

Users that are interested in 2024-lbnl are comparing it to the libraries listed below

• iml-wg / HEPML-LivingReview
  Living Review of Machine Learning for Particle Physics
  ☆393Updated this week
• usatlas-ml-training / lbnl-2023
  This repository contains all the notebooks used for the US-ATLAS ML Training 2023
  ☆11Updated 3 weeks ago
• atlas-outreach-data-tools / notebooks-collection-opendata
  A set of simple notebooks using 8 TeV and 13 TeV ATLAS Open Data datasets
  ☆52Updated this week
• Alexanders101 / SPANet
  Symmetry Preserving Attention Networks for Event Reconstruction
  ☆43Updated 6 months ago
• jmduarte / phys139_239
  UCSD PHYS 139/239: Machine Learning in Physics (Winter 2023)
  ☆17Updated last year
• mit-physics-data / lectures
  ☆17Updated 3 months ago
• jet-universe / particle_transformer
  Official implementation of "Particle Transformer for Jet Tagging".
  ☆107Updated last year
• makagan / SSI_Projects
  ☆14Updated 2 years ago
• CaloChallenge / homepage
  ☆29Updated 3 weeks ago
• joeycarter / atlas-plots
  ATLAS Plots provides a simple interface to produce plots in ROOT following the standard ATLAS style guidelines.
  ☆14Updated 4 months ago
• iml-wg / HEP-ML-Resources
  Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
  ☆347Updated 4 years ago
• hsf-training / PyHEP-resources
  Python libraries of interest to particle physicists. This is meant for educational purposes.
  ☆137Updated last month
• heidelberg-hepml / ml-tutorials
  Tutorials for the Deep Learning in Particle Physics course, first helt spring semester 2022, at the University of Heidelberg.
  ☆22Updated 4 months ago
• bmdillon / dlpp-tutorials
  Tutorials for the Deep Learning in Particle Physics course, spring semester 2022, at the University of Heidelberg.
  ☆12Updated 2 years ago
• ajgilbert / EFT2Obs
  Automatically parametrize the effect of EFT coefficients on arbitrary observables
  ☆10Updated 4 months ago
• FlorianMarquardt / machine-learning-for-physicists
  Code for "Machine Learning for Physicists" lecture series by Florian Marquardt
  ☆311Updated 3 months ago
• violatingcp / MIT_8.S50
  ☆32Updated 3 years ago
• mg5amcnlo / mg5amcnlo
  ☆76Updated this week
• wiso / StatisticsLectures
  Material for statistics lectures for physicist
  ☆12Updated 11 months ago
• HEPML-AnomalyDetection / CATHODE
  CATHODE program from arxiv.org/abs/2109.00546
  ☆11Updated last year
• hqucms / weaver-core
  Streamlined neural network training.
  ☆54Updated 10 months ago
• cms-analysis / HiggsAnalysis-CombinedLimit
  CMS Higgs Combination toolkit.
  ☆80Updated 3 weeks ago
• GENIE-MC / Generator
  The GENIE Generator is a leading simulation tool for neutrino experiments, featuring a modular framework with advanced physics, BSM chann…
  ☆55Updated 2 weeks ago
• dgerosa / scientificcomputing_bicocca_2023
  Scientific Computing with Python - PhD class at the University of Milan-Bicocca (Italy)
  ☆28Updated 10 months ago
• ViniciusMikuni / OmniLearn
  ☆21Updated 5 months ago
• cms-ml / documentation
  CMS ML Documentation
  ☆20Updated last month
• sdogsq / LorentzNet-release
  [JHEP] An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging
  ☆24Updated 3 years ago
• DeepLearningForPhysicsResearchBook / deep-learning-physics
  This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor …
  ☆68Updated 3 weeks ago
• LHCfitNikhef / ML4PA
  Machine Learning for Physics and Astronomy
  ☆64Updated 3 years ago
• delphes / delphes
  A framework for fast simulation of a generic collider experiment
  ☆113Updated last week