An open-source machine learning framework for global analyses of parton distributions.
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Updated
Apr 10, 2026 - Python
An open-source machine learning framework for global analyses of parton distributions.
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
FLARE : FCCee b2Luigi Automated Reconstruction And Event processing
Moment Decorrelation for constrained NN outputs with respect to protected attributes. (Decorrelated (flat), linear, quadratic, etc.)
PineAPPL + EKO ─➤ fast theories
Benchmarking AgaiNst Apfel aNd Anything
Compression code for PDF replicas.
Python Program to read LHE file and convert into ROOT Tree
An open source machine learning framework that provides predictions for all-energy neutrino structure functions.
Natural Units converter for GNU-Units (with PDG values)
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