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Last indexation completed on 2025-10-13 09:45:02 UTC

 
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folder Parent directory - 2025-10-13 07:01:23

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/ - 2025-10-13 07:01:23  
folder utils/ - 2025-10-13 07:01:23  
condor.sub 395 bytes 2025-10-13 07:01:23 -  
convert.py 2156 bytes 2025-10-13 07:01:23 2025-10-13 08:28:38  
generate.py 3177 bytes 2025-10-13 07:01:23 2025-10-13 08:28:38  
README.md 4637 bytes 2025-10-13 07:01:23 -  
requirements.txt 237 bytes 2025-10-13 07:01:23 -  
root2h5.py 3828 bytes 2025-10-13 07:01:23 2025-10-13 08:28:38  
root2h5_for_vae.py 4003 bytes 2025-10-13 07:01:23 2025-10-13 08:28:38  
run.sh 515 bytes 2025-10-13 07:01:23 2025-10-13 08:28:38  
setup.py 584 bytes 2025-10-13 07:01:23 2025-10-13 08:28:38  
train.py 2198 bytes 2025-10-13 07:01:23 2025-10-13 08:28:38  
tune_model.py 1927 bytes 2025-10-13 07:01:23 2025-10-13 08:28:38  
validate.py 2416 bytes 2025-10-13 07:01:23 2025-10-13 08:28:38  
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