Type: User
Bio: Doctor of physics | Researcher at Braid Technologies.
Previously: Deep-learning approaches for high-energy particle physics at CERN's CMS experiment.
Twitter: Giles_C_Strong
Location: Shibuya, Tokyo, Japan
Blog: https://gilesstrong.github.io/website/
gilesstrong's Projects
Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics
LSTM for generating blog posts accord to authors on https://amva4newphysics.wordpress.com/
Common analysis tools.
This is code for my CERN presentation
Tutorial docker and udocker
Public version of code used in "Calorimetric Measurement of Multi-TeV Muons via Deep Regression"
General repository for the distribution of modified CC BY-SA 4.0 licensed material as required by the licence terms
Interface providing feature computation from ROOT LorentzVectors for CMS RunII hh->bbtautau DNN
Plugin to run ensembles of TensorFlow models on incoming data in CMSSW
Data processor for CMS HH->bbtautau RunII
Repo for models used in CMS Run II hh->bbtautau search
Selection code for Delphes events
Delphes event selection used for CMS YR-2018 HL-LHC dih-Higgs->bbtautau studies
Playground for nonparametric density estimation methods, course project for Physics PhD course on Statistics and Data Analysis @ University of Padova
Version with my cuts
Di-Higgs->bbtautau CMS-data skimmer and event selector
Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
A collection of modules, functions, and wrappers for with Keras designed for application of deep learning to high energy physics
Double Higgs analyses with final state bb tautau
A sequel repo to QCHS-2018 for continuing testing deep learning methods on the HiggsML dataset
Repo supporting arXiv:2002.01427 [physics.data-an]
Sample repository to test github integration
Entries for part 1 & 2 of MLHEP2017 Kaggle
Repo of my entry to the Costa Rica Poverty Precition competition
Repo for my entries to the TGS Salt Competition
General code to convert a trained keras model into an inference tensorflow model