Metadata-Version: 1.1
Name: orcanet
Version: 0.11.3
Summary: Runs Neural Networks for usage in the KM3NeT project
Home-page: https://git.km3net.de/ml/OrcaNet
Author: Michael Moser, Stefan Reck
Author-email: mmoser@km3net.de, michael.m.moser@fau.de, stefan.reck@fau.de
License: AGPL
Description: OrcaNet: A training organizer for Deep Learning in KM3NeT
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        .. image:: https://badge.fury.io/py/orcanet.svg
            :target: https://badge.fury.io/py/orcanet
        
        .. image:: https://git.km3net.de/ml/OrcaNet/badges/master/pipeline.svg
            :target: https://git.km3net.de/ml/OrcaNet/pipelines
        
        .. image:: https://examples.pages.km3net.de/km3badges/docs-latest-brightgreen.svg
            :target: https://ml.pages.km3net.de/OrcaNet
        
        .. image:: https://git.km3net.de/ml/OrcaNet/badges/master/coverage.svg
            :target: https://ml.pages.km3net.de/OrcaNet/coverage
        
        .. image:: https://api.codacy.com/project/badge/Grade/6c81a8396eb34a9d88f07b6620535432
            :alt: Codacy Badge
            :target: https://www.codacy.com/app/sreck/OrcaNet?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=StefReck/OrcaNet&amp;utm_campaign=Badge_Grade
        
        
        OrcaNet is a deep learning framework based on Keras in order to simplify the 
        training process of neural networks for astroparticle physics. It incorporates 
        automated logging, plotting and validating during the training, as well as
        saving and continuing the training process. Additionally, it features easy 
        management of multiple neural network inputs and the use of training data 
        which is split over multiple files.
        
        In this sense, it tackles many challenges that are usually found in 
        astroparticle physics, like huge datasets.
        
        OrcaNet is a part of the Deep Learning efforts for the neutrino telescope KM3NeT.
        Find more information about KM3NeT on http://www.km3net.org
        
        OrcaNet is currently being developed at the official KM3NeT gitlab (https://git.km3net.de/ml/OrcaNet).
        
        However, there's also a github mirror that can be found at https://github.com/ViaFerrata/OrcaNet.
        
        OrcaNet can be installed via pip by running::
        
            pip install orcanet
        
        
        Tensorflow 1.X
        --------------
        
        Orcanet per default runs on tensorflow 2, but there is also no longer supperted
        tf 1 branch, which makes use of the deprecated stand-alone keras package.
        For the tf 1 version, orcanet will install tensorflow (the cpu version).
        For training with graphics cards, tensorflow-gpu is required, which needs
        to be installed manually via::
        
            pip install tensorflow-gpu
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
