High energy physics, python based, neural network framework
Project description
Hepynet
High energy physics, python-based, neural-network assistant framework
Introduction
The goal of the hepynet: perform DNN related high energy physics analysis tasks with simple config files
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for ATLAS Analysis: include supports for various ATLAS analysis jobs
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Config Driven: all tasks defined by a simple config file
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Python Based: codes are written in Python, which is the mainstream language for DNN studies
Installation
pip install hepynet
GPU support
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You can refer to Tensorflow GPU support to set up the environment to use GPU for training
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This is not mandatory, CPU alone is enough to run hepynet
Set Up the Workspace
Please refer to hepynet_example to see how to set up the workspace of hepynet.
Release Note - v0.4.2
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