An open-source machine learning framework for global analyses of parton distributions.
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Updated
Mar 27, 2026 - Python
An open-source machine learning framework for global analyses of parton distributions.
SModelS
Smooth inference for reinterpretation studies
Colibri is an adaptable, open-source platform for flexible Parton Distribution Function (PDF) fitting. It is a reportengine app that performs PDF fits with any given parametrisation.
BU HEP analysis code based on the coffea framework.
D<ee>p Learning [dev library]
Using Machine Learning to Simulate Distributions of Observables at the Large Hadron Collider
Real-time LHC data streaming pipeline: C++ event generation, Apache Kafka streaming, Python physics triggers, and a live monitoring dashboard.
PyTorch MLP for boosted W/Z→qq̄ jet tagging on ATLAS Open Data; compares to cuts and outputs ROC/purity plots.
A package to handle cross-section grid data
L1 Trigger menu VHDL producer
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