<metapackage xmlns:os="http://opensuse.org/Standards/One_Click_Install" xmlns="http://opensuse.org/Standards/One_Click_Install">
  <group>
    <repositories>
      <repository recommended="true">
        <name>science</name>
        <summary>Software for Scientists and Engineers</summary>
        <description>This project provides software for engineering and natural science.
http://en.opensuse.org/Portal:Science

If you like to help to maintain the repository, please contact the respective maintainer:
http://en.opensuse.org/openSUSE:Science_team

For electrical engineering see electronics project:
https://build.opensuse.org/project/show/electronics</description>
        <url>https://download.opensuse.org/repositories/science/16.0/</url>
      </repository>
      <repository recommended="true">
        <name>openSUSE:Backports:SLE-16.0</name>
        <summary>Community packages for SLE-16.0</summary>
        <description>Community packages for SLE-16.0</description>
        <url>https://download.opensuse.org/repositories/openSUSE:/Backports:/SLE-16.0/standard/</url>
      </repository>
      <repository recommended="false">
        <name>SUSE:SLFO:1.2</name>
        <summary>SLFO 1.2 (the base for openSUSE 16.0 and SLES 16.0)</summary>
        <description></description>
        <url>https://download.opensuse.org/repositories/SUSE:/SLFO:/1.2/standard/</url>
      </repository>
    </repositories>
    <software>
      <item>
        <name>ncnn</name>
        <summary>A high-performance neural network inference framework</summary>
        <description>ncnn is a high-performance neural network inference computing framework
optimized for mobile platforms. ncnn is deeply considerate about deployment and
uses on mobile phones from the beginning of design. ncnn does not have third
party dependencies. It is cross-platform, and runs faster than all known open
source frameworks on mobile phone cpu. Developers can easily deploy deep
learning algorithm models to the mobile platform by using efficient ncnn
implementation, create intelligent APPs, and bring the artificial intelligence
to your fingertips. ncnn is currently being used in many Tencent applications,
such as QQ, Qzone, WeChat, Pitu and so on.</description>
      </item>
    </software>
  </group>
</metapackage>
