juliahep Goto Github PK
Type: Organization
Type: Organization
Awkward Array in Julia mirrors the Python library, enabling effortless zero-copy data exchange between Julia and Python
Geant4 examples repository
Geant4 interface for Julia, based on Cxx.jl [WORK IN PROGRESS]
Data API for CERN Indico meeting schedule platform. Reference: https://gitlab.cern.ch/indicomb/indicomb
Jet reconstruction (reclustering) with Julia
Materials for the JuliaHEP 2023 Workshop
Extending `Distributions.jl` to include Landau Distribution based on CERN ROOT's implementation.
Quick and dirty implementation of the Les Houches Event Format (LHE Files) in Julia
Light-weight HistFactory in pure Julia, attempts to be compatible with `pyhf` json format
x, y, z, t and pt, eta, phi, M Lorentz Vectors as used in collider experiments at CERN and other places
fast cylindrical Lorentz vectors
A place to collect julia related talks and references
CERN ROOT compatiblility for Julia
Development tool for ROOT.jl
Interface to the ROOT analysis framewok
[WIP] [Shelved] CERN ROOT interface for Julia, based on Cxx.jl
Interface to ROOT file format with read/write support based on the C++ ROOT libraries.
Native Julia I/O package to work with CERN ROOT files objects (TTree and RNTuple)
Julia package to access CERN ROOT files, wraps Python package uproot
Website for JuliaHEP organization
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.