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    <title>PyPI recent updates for gabp-sparse-inv</title>
    <link>https://pypi.org/project/gabp-sparse-inv/</link>
    <description>Recent updates to the Python Package Index for gabp-sparse-inv</description>
    <language>en</language>    <item>
      <title>0.3.3</title>
      <link>https://pypi.org/project/gabp-sparse-inv/0.3.3/</link>
      <description>Differentiable selected inverse (plus log-det, Gaussian sampling, and solve) for sparse block-structured SPD and non-symmetric matrices, via Gaussian belief propagation / the Takahashi recurrence.</description>
<author>vanshdeep.sehrawat@gmail.com</author>      <pubDate>Fri, 24 Jul 2026 00:29:52 GMT</pubDate>
    </item>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/gabp-sparse-inv/0.3.2/</link>
      <description>Differentiable selected inverse (plus log-det, Gaussian sampling, and solve) for sparse block-structured SPD and non-symmetric matrices, via Gaussian belief propagation / the Takahashi recurrence.</description>
<author>vanshdeep.sehrawat@gmail.com</author>      <pubDate>Thu, 02 Jul 2026 21:24:00 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/gabp-sparse-inv/0.3.1/</link>
      <description>Differentiable selected inverse (plus log-det, Gaussian sampling, and solve) for sparse block-structured SPD and non-symmetric matrices, via Gaussian belief propagation / the Takahashi recurrence.</description>
<author>vanshdeep.sehrawat@gmail.com</author>      <pubDate>Thu, 02 Jul 2026 20:01:12 GMT</pubDate>
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