Pinned Repositories
a3d3-institute.github.io
draft website using html5up template
APx_Gen0_Algo
APx Phase-2 Gen-0 Algorithm Playground
Bacon
Bacon makes it Better
BaconAnalyzer
Analysis code for Bacon
BaconAnalyzer-1
Skimming step from BaconProd
BaconProd
Bayesian
boostedhiggs
NanoAOD boosted higgs analysis package
boostedWScalefactorProducer
Code to estimate scale factors for W-taggers in a semileptonic ttbar sample based on a simultaneous fit of pass and fail samples.
QUASAR
Quasi-Anomalous Algorithm for Anomaly Detection
SangeonPark's Repositories
SangeonPark/QUASAR
Quasi-Anomalous Algorithm for Anomaly Detection
SangeonPark/a3d3-institute.github.io
draft website using html5up template
SangeonPark/APx_Gen0_Algo
APx Phase-2 Gen-0 Algorithm Playground
SangeonPark/Bacon
Bacon makes it Better
SangeonPark/BaconAnalyzer-1
Skimming step from BaconProd
SangeonPark/BaconProd
SangeonPark/Bayesian
SangeonPark/boostedhiggs
NanoAOD boosted higgs analysis package
SangeonPark/coffeandbacon
A delicious breakfast
SangeonPark/course_material
SangeonPark/dotfiles
Dotfiles
SangeonPark/fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
SangeonPark/food
SangeonPark/GenerativeArt
generative art
SangeonPark/genproductions
Generator fragments for MC production
SangeonPark/HttMassRegression
SangeonPark/JetToyHI
Code intended for use for the HI Jet workshop at CERN (2017)
SangeonPark/ManifoldLaplacian
Constructing manifold Laplacian for studying global properties
SangeonPark/MITJuniorLab
Some Jupyter notebook examples for data analysis
SangeonPark/mlhep2019_2_phase
SangeonPark/nanoAOD-tools
Tools for working with NanoAOD (requiring only python + root, not CMSSW)
SangeonPark/NanoTools
tools, usage examples for CMS nanoAOD
SangeonPark/psets
This is where we put the problem sets for MIT computational Data Science in Physics. Problem Set 0 is intended for
SangeonPark/QUAK
QUasi Anomalous Knowledge for Anomaly Detection and Tagging in High Energy Physics
SangeonPark/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
SangeonPark/sangeonpark.github.io
personal web page
SangeonPark/sangeonpark.github.io_jekyll
Build a Jekyll blog in minutes, without touching the command line.
SangeonPark/sheaf-learn-project
SangeonPark/ToyJetGenerator
SangeonPark/vae_mnist