high-energy-physics topic

Machine Learning for High Energy Physics.

arogozhnikov

Package to deal with particles, the PDG particle data table, PDGIDs, etc.

scikit-hep

pure-Python HistFactory implementation with tensors and autodiff

scikit-hep

Metapackage of Scikit-HEP project data analysis packages for Particle Physics.

scikit-hep

Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user...

zfit

Native Julia I/O package to work with CERN ROOT files objects (TTree and RNTuple)

JuliaHEP

Header only framework for data analysis in massively parallel platforms.

MultithreadCorner

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

hep-lbdl

Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics

hep-lbdl

A Python package for flavour physics phenomenology in the Standard model and beyond

flav-io