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Last indexation completed on 2025-11-25 10:30:14 UTC

 
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folder Parent directory - 2025-11-25 08:01:09

Geant4 - an Object-Oriented Toolkit for Simulation in HEP
Example Par04
This example demonstrates how to use the Machine Learning (ML) inference to create energy deposits as a fast simulation model using ONNX Runtime [1], LWTNN [2], and LibTorch [3] libraries.


SEE ALSO: README

folder core/ - 2025-11-25 08:01:09  
folder utils/ - 2025-11-25 08:01:09  
condor.sub 395 bytes 2025-11-25 08:01:09 -  
convert.py 2156 bytes 2025-11-25 08:01:09 2025-11-25 09:28:15  
generate.py 3177 bytes 2025-11-25 08:01:09 2025-11-25 09:28:15  
README.md 4637 bytes 2025-11-25 08:01:09 -  
requirements.txt 237 bytes 2025-11-25 08:01:09 -  
root2h5.py 3828 bytes 2025-11-25 08:01:09 2025-11-25 09:28:15  
root2h5_for_vae.py 4003 bytes 2025-11-25 08:01:09 2025-11-25 09:28:15  
run.sh 515 bytes 2025-11-25 08:01:09 2025-11-25 09:28:15  
setup.py 584 bytes 2025-11-25 08:01:09 2025-11-25 09:28:15  
train.py 2198 bytes 2025-11-25 08:01:09 2025-11-25 09:28:15  
tune_model.py 1927 bytes 2025-11-25 08:01:09 2025-11-25 09:28:15  
validate.py 2416 bytes 2025-11-25 08:01:09 2025-11-25 09:28:15  
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