GilesStrong
Doctor of physics | Researcher at Braid Technologies. Previously: Deep-learning approaches for high-energy particle physics at CERN's CMS experiment.
Shibuya, Tokyo, Japan
Pinned Repositories
calo_muon_regression
Public version of code used in "Calorimetric Measurement of Multi-TeV Muons via Deep Regression"
HiggsML_Lumin
Repo supporting arXiv:2002.01427 [physics.data-an]
LatticeQCD_IST2018
Repo for lattice QCD project for IST QCD course, 2018
lumin
LUMIN - a deep learning and data science ecosystem for high-energy physics.
mode_diffprog_22_challenge
pytorch_inferno
PyTorch implementation of inference aware neural optimisation (de Castro and Dorigo, 2018 https://www.sciencedirect.com/science/article/pii/S0010465519301948)
pytorch_tutorial_2022
A new PyTorch tutorial designed to dig into the basics
QCHS-2018
Simplified version of my HiggsML Kaggle repo, aimed at demonstrating new ML techniques on HEP data. Originally presented at QCHS Conference 2018 in Dublin
SuperTML_HiggsML_Test
Attempting to reproduce Higgs ML result of https://arxiv.org/abs/1903.06246
tomopt
TomOpt: Differential Muon Tomography Optimisation
GilesStrong's Repositories
GilesStrong/lumin
LUMIN - a deep learning and data science ecosystem for high-energy physics.
GilesStrong/pytorch_inferno
PyTorch implementation of inference aware neural optimisation (de Castro and Dorigo, 2018 https://www.sciencedirect.com/science/article/pii/S0010465519301948)
GilesStrong/tomopt
TomOpt: Differential Muon Tomography Optimisation
GilesStrong/pytorch_tutorial_2022
A new PyTorch tutorial designed to dig into the basics
GilesStrong/SuperTML_HiggsML_Test
Attempting to reproduce Higgs ML result of https://arxiv.org/abs/1903.06246
GilesStrong/calo_muon_regression
Public version of code used in "Calorimetric Measurement of Multi-TeV Muons via Deep Regression"
GilesStrong/HiggsML_Lumin
Repo supporting arXiv:2002.01427 [physics.data-an]
GilesStrong/LIP_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 2019
GilesStrong/workshop_LIP_GNN
Originally presented at LIP Big Data 1st thematic workshop
GilesStrong/mode_diffprog_22_challenge
GilesStrong/cc_by_sa_4
General repository for the distribution of modified CC BY-SA 4.0 licensed material as required by the licence terms
GilesStrong/cms_hh_proc_interface
Interface providing feature computation from ROOT LorentzVectors for CMS RunII hh->bbtautau DNN
GilesStrong/cms_hh_tf_inference
Plugin to run ensembles of TensorFlow models on incoming data in CMSSW
GilesStrong/cms_runII_data_proc
Data processor for CMS HH->bbtautau RunII
GilesStrong/cms_runII_dnn_models
Repo for models used in CMS Run II hh->bbtautau search
GilesStrong/dae_test
GilesStrong/LIP_DS_2019_Challenge
GilesStrong/mode_diffprog_22_challenge_giles_solution
My solution to the MODE '22 workshop data challenge
GilesStrong/nbdev
Create delightful python projects using Jupyter Notebooks
GilesStrong/nbdev_test
GilesStrong/Presentations
Store of public presentations in ML and physics
GilesStrong/pytorch_sphinx_theme
PyTorch Sphinx Theme
GilesStrong/PyTorch_Tutorial
PyTorch version of https://github.com/GilesStrong/LIP_DSS_Keras_Tutorial_2019
GilesStrong/spinningup
An educational resource to help anyone learn deep reinforcement learning.
GilesStrong/talk_pyhep21_lumin
Originally presented at PyHEP 2021
GilesStrong/talk_pyhep21_pytorch_inferno
Originally presented at PyHEP 2021
GilesStrong/template_python
GilesStrong/tomopt_sphinx_theme
GilesStrong/virtual-pipelines-eventselection
GilesStrong/website