An open-source machine learning framework for global analyses of parton distributions.
-
Updated
Jan 27, 2025 - Python
An open-source machine learning framework for global analyses of parton distributions.
A package for event file analysis and recasting of LHC results
Cluster sets of histograms/curves, in particular kinematic distributions in high energy physics.
PDFflow is parton distribution function interpolation library written in Python and based on the TensorFlow framework.
Smooth inference for reinterpretation studies
Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets
A library that enables the calculation of photodisintegration constraints for a variety of BSM scenarios
xsec is a tool for fast evaluation of cross-sections, taking advantage of the power and flexibility of Gaussian process regression.
MadAnalysis 5 - Plugin for interpreting expert mode analyses
Monte Carlo Simulation of Compton Scattering
Moment Decorrelation for constrained NN outputs with respect to protected attributes. (Decorrelated (flat), linear, quadratic, etc.)
PineAPPL + EKO ─➤ fast theories
Compression code for PDF replicas.
Benchmarking AgaiNst Apfel aNd Anything
Natural Units converter for GNU-Units (with PDG values)
An open source machine learning framework that provides predictions for all-energy neutrino structure functions.
Yet Another SLHA module for Python3
Add a description, image, and links to the hep-ph topic page so that developers can more easily learn about it.
To associate your repository with the hep-ph topic, visit your repo's landing page and select "manage topics."