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    <title>PyPI recent updates for engression-pytorch</title>
    <link>https://pypi.org/project/engression-pytorch/</link>
    <description>Recent updates to the Python Package Index for engression-pytorch</description>
    <language>en</language>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/engression-pytorch/0.1.3/</link>
      <description>The engression loss (energy score) proposed by Shen et al. for distributional regression with a few convenient wrappers, in Pytorch.</description>
<author>ecantuc@umich.edu</author>      <pubDate>Sat, 24 May 2025 02:14:04 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/engression-pytorch/0.1.2/</link>
      <description>The engression loss (energy score) proposed by Shen et al. for distributional regression with a few convenient wrappers, in Pytorch.</description>
<author>ecantuc@umich.edu</author>      <pubDate>Tue, 13 May 2025 02:01:49 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/engression-pytorch/0.1.1/</link>
      <description>The engression loss (energy score) proposed by Shen et al. for distributional regression with a few convenient wrappers, in Pytorch.</description>
<author>ecantuc@umich.edu</author>      <pubDate>Thu, 08 May 2025 03:13:57 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/engression-pytorch/0.1.0/</link>
      <description>The engression loss (energy score) proposed by Shen et al. for distributional regression with a few convenient wrappers, in Pytorch.</description>
<author>ecantuc@umich.edu</author>      <pubDate>Thu, 08 May 2025 02:05:52 GMT</pubDate>
    </item>  </channel>
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