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    <title>PyPI recent updates for eclipse-nn</title>
    <link>https://pypi.org/project/eclipse-nn/</link>
    <description>Recent updates to the Python Package Index for eclipse-nn</description>
    <language>en</language>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/eclipse-nn/0.1.6/</link>
      <description>Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks. Python implementation of the NeurIPS 2024 paper.</description>
<author>hangjun@sas.upenn.edu</author>      <pubDate>Mon, 23 Mar 2026 23:20:07 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/eclipse-nn/0.1.5/</link>
      <description>Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks. Python implementation of the NeurIPS 2024 paper.</description>
<author>hangjun@sas.upenn.edu</author>      <pubDate>Mon, 23 Mar 2026 17:52:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/eclipse-nn/0.1.4/</link>
      <description>Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks. Python implementation of the NeurIPS 2024 paper.</description>
<author>hangjun@sas.upenn.edu</author>      <pubDate>Wed, 05 Nov 2025 22:02:13 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/eclipse-nn/0.1.3/</link>
      <description>Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks. Python implementation of the NeurIPS 2024 paper.</description>
<author>hangjun@sas.upenn.edu</author>      <pubDate>Wed, 05 Nov 2025 21:53:11 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/eclipse-nn/0.1.1/</link>
      <description>Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks. Python implementation of the NeurIPS 2024 paper.</description>
<author>hangjun@sas.upenn.edu</author>      <pubDate>Wed, 01 Oct 2025 23:22:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/eclipse-nn/0.1.0/</link>
      <description>Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks. Python implementation of the NeurIPS 2024 paper.</description>
<author>hangjun@sas.upenn.edu</author>      <pubDate>Wed, 01 Oct 2025 01:39:54 GMT</pubDate>
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