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lumin
LUMIN - a deep learning and data science ecosystem for high-energy physics.tomopt
TomOpt: Differential Muon Tomography OptimisationQCHS-2018
Simplified version of my HiggsML Kaggle repo, aimed at demonstrating new ML techniques on HEP data. Originally presented at QCHS Conference 2018 in Dublinpytorch_inferno
PyTorch implementation of inference aware neural optimisation (de Castro and Dorigo, 2018 https://www.sciencedirect.com/science/article/pii/S0010465519301948)SuperTML_HiggsML_Test
Attempting to reproduce Higgs ML result of https://arxiv.org/abs/1903.06246pytorch_tutorial_2022
A new PyTorch tutorial designed to dig into the basicsSmith_HyperParams1_Demo
Demonstration of the techniques developed in arXiv:1803:09820, originally presented at LIP Big-Data Meeting on 06/07/18LatticeQCD_IST2018
Repo for lattice QCD project for IST QCD course, 2018AMVA4NP_BlogGen
LSTM for generating blog posts accord to authors on https://amva4newphysics.wordpress.com/HiggsML_Lumin
Repo supporting arXiv:2002.01427 [physics.data-an]ML_Tutorials
Short introduction to machine learning with a focus on high-energy physicsworkshop_LIP_GNN
Originally presented at LIP Big Data 1st thematic workshopLIP_DSS_Keras_Tutorial_2019
Repo. for my tutorial at the 2019 LIP Data Science School, adapted and extended for the LIP Summer Student tutorials for 2019calo_muon_regression
Public version of code used in "Calorimetric Measurement of Multi-TeV Muons via Deep Regression"Love Open Source and this site? Check out how you can help us