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    <title>PyPI recent updates for nnlogging</title>
    <link>https://pypi.org/project/nnlogging/</link>
    <description>Recent updates to the Python Package Index for nnlogging</description>
    <language>en</language>    <item>
      <title>0.2.0a1</title>
      <link>https://pypi.org/project/nnlogging/0.2.0a1/</link>
      <description>A powerful and elegant logging library designed specifically for neural network and machine learning experiments.</description>
<author>amadeusxu127@gmail.com</author>      <pubDate>Fri, 26 Dec 2025 11:42:25 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/nnlogging/0.1.4/</link>
      <description>A powerful and elegant logging library designed specifically for neural network and machine learning experiments. nnlogging seamlessly integrates [Rich](https://github.com/Textualize/rich) for beautiful terminal output and [Aim](https://github.com/aimhubio/aim) for comprehensive experiment tracking.</description>
      <pubDate>Tue, 11 Nov 2025 06:49:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/nnlogging/0.1.2/</link>
      <description>A powerful and elegant logging library designed specifically for neural network and machine learning experiments. nnlogging seamlessly integrates [Rich](https://github.com/Textualize/rich) for beautiful terminal output and [Aim](https://github.com/aimhubio/aim) for comprehensive experiment tracking.</description>
      <pubDate>Mon, 03 Nov 2025 02:08:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/nnlogging/0.1.1/</link>
      <description>A powerful and elegant logging library designed specifically for neural network and machine learning experiments. nnlogging seamlessly integrates [Rich](https://github.com/Textualize/rich) for beautiful terminal output and [Aim](https://github.com/aimhubio/aim) for comprehensive experiment tracking.</description>
      <pubDate>Wed, 29 Oct 2025 05:03:24 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/nnlogging/0.1.0/</link>
      <description>Add your description here</description>
      <pubDate>Sat, 04 Oct 2025 16:42:29 GMT</pubDate>
    </item>  </channel>
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