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Search results for jupyter notebook high energy physics
high-energy-physics
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jupyter-notebook
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12 search results found
Hep_ml
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163
Machine Learning for High Energy Physics.
Calogan
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103
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Adversarial Jets
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45
Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics
Decaylanguage
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41
Package to parse decay files, describe and convert particle decays between digital representations.
Idao 2019 Muon Id
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23
Problem for IDAO 2019 on LHCb Muon Identification
Machine Learning Hats
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18
FNAL LPC Machine Learning HATS
Qcnn Hep
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17
A Google Summer of Code 2021 Project Repository. This project aims to demonstrate quantum machine learning's potential, specifically Quantum Convolutional Neural Network (QCNN), in HEP events classification from particle image data. The code used in the research is wrapped as an open-source package to ease future research in this field.
Statistics Notes
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15
Personal notes on statistics with a focus on applications to experimental high energy physics
Machine Learning Das
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9
Machine Learning DAS Short Exercise with CMS Open Data
Blipfinder
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7
Analysis pipeline capable of searching for dark compact objects in the Milky Way through astrometric lensing in real or mock Gaia DR4 data.
Raredecay
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6
Machine Learning based Analysis Framework for physics on top of REP
Statistics Das
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5
Statistics DAS Short Exercise
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