A Deep learning library for neutrino telescopes
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Updated
Aug 15, 2024 - Python
A Deep learning library for neutrino telescopes
Tree-level completions of LNV operators for neutrino-mass model building
Global Neutrino Analysis
Application of ML for Neutrino Physics experiment LEGEND-200
Scalable Particle Imaging with Neural Embeddings
Convolutional networks (and CapsNET) for SuperNEMO tracker
An open source machine learning framework that provides predictions for all-energy neutrino structure functions.
Monte Carlo based generator of neutrino induced dimuon events. Simulates muons from heavy quark (charm) production and Trident production. Container with all software dependencies provided for future developments.
Tensor based neutrino oscillation probability calculator
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