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DeepJetCore

Kieseler, Jan; Stoye, Markus; Verzetti, Mauro; Silva, Pedro; MEHTA, Swapneel Sundeep; Stakia, Anna; IIYAMA, Yutaro; Bols, Emil; QASIM, Shah Rukh; KIRSCHENMANN, Henning; Qu, Huilin; Rieger, Marcel; Gouskos, Loukas


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  <identifier identifierType="DOI">10.5281/zenodo.3670882</identifier>
  <creators>
    <creator>
      <creatorName>Kieseler, Jan</creatorName>
      <givenName>Jan</givenName>
      <familyName>Kieseler</familyName>
      <affiliation>CERN</affiliation>
    </creator>
    <creator>
      <creatorName>Stoye, Markus</creatorName>
      <givenName>Markus</givenName>
      <familyName>Stoye</familyName>
      <affiliation>CERN</affiliation>
    </creator>
    <creator>
      <creatorName>Verzetti, Mauro</creatorName>
      <givenName>Mauro</givenName>
      <familyName>Verzetti</familyName>
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      <creatorName>Silva, Pedro</creatorName>
      <givenName>Pedro</givenName>
      <familyName>Silva</familyName>
      <affiliation>CERN</affiliation>
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    <creator>
      <creatorName>MEHTA, Swapneel Sundeep</creatorName>
      <givenName>Swapneel Sundeep</givenName>
      <familyName>MEHTA</familyName>
      <affiliation>CERN</affiliation>
    </creator>
    <creator>
      <creatorName>Stakia, Anna</creatorName>
      <givenName>Anna</givenName>
      <familyName>Stakia</familyName>
      <affiliation>Nat. Cent. for Sci. Res. Demokritos</affiliation>
    </creator>
    <creator>
      <creatorName>IIYAMA, Yutaro</creatorName>
      <givenName>Yutaro</givenName>
      <familyName>IIYAMA</familyName>
      <affiliation>CERN</affiliation>
    </creator>
    <creator>
      <creatorName>Bols, Emil</creatorName>
      <givenName>Emil</givenName>
      <familyName>Bols</familyName>
      <affiliation>Vrije Universiteit Brussel (VUB)</affiliation>
    </creator>
    <creator>
      <creatorName>QASIM, Shah Rukh</creatorName>
      <givenName>Shah Rukh</givenName>
      <familyName>QASIM</familyName>
      <affiliation>CERN</affiliation>
    </creator>
    <creator>
      <creatorName>KIRSCHENMANN, Henning</creatorName>
      <givenName>Henning</givenName>
      <familyName>KIRSCHENMANN</familyName>
      <affiliation>Helsinki Institute of Physics (HIP)</affiliation>
    </creator>
    <creator>
      <creatorName>Qu, Huilin</creatorName>
      <givenName>Huilin</givenName>
      <familyName>Qu</familyName>
      <affiliation>Univ. of California Santa Barbara</affiliation>
    </creator>
    <creator>
      <creatorName>Rieger, Marcel</creatorName>
      <givenName>Marcel</givenName>
      <familyName>Rieger</familyName>
      <affiliation>CERN</affiliation>
    </creator>
    <creator>
      <creatorName>Gouskos, Loukas</creatorName>
      <givenName>Loukas</givenName>
      <familyName>Gouskos</familyName>
      <affiliation>CERN</affiliation>
    </creator>
  </creators>
  <titles>
    <title>DeepJetCore</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-02-17</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3670882</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3670881</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/hsf</relatedIdentifier>
  </relatedIdentifiers>
  <version>2.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;DeepJetCore: Package for training and evaluation of deep neural networks for HEP&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;This package provides the basic functions for out-of-memory training, resampling, and basic evaluation. For simple use cases, only two files need to be adapted: the actual training data structures, describing how to fill numpy arrays from root trees, and the DNN model itself. Both must be defined in an additional user package. Please refer to the Section &amp;#39;Usage&amp;#39; for more information.&lt;/p&gt;</description>
  </descriptions>
</resource>
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