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    <title>PyPI recent updates for autoneuronet</title>
    <link>https://pypi.org/project/autoneuronet/</link>
    <description>Recent updates to the Python Package Index for autoneuronet</description>
    <language>en</language>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/autoneuronet/0.1.11/</link>
      <description>AutoNeuroNet is a fully implemented automatic differentiation engine with custom matrices, a full neural network architecture, and a training pipeline. It comes with Python bindings via PyBind11, enabling quick, easy network development in Python, backed by C++ for enhanced speed and performance.</description>
<author>rishabsaia@gmail.com</author>      <pubDate>Wed, 15 Apr 2026 13:36:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/autoneuronet/0.1.10/</link>
      <description>AutoNeuroNet is a fully implemented automatic differentiation engine with custom matrices, a full neural network architecture, and a training pipeline. It comes with Python bindings via PyBind11, enabling quick, easy network development in Python, backed by C++ for enhanced speed and performance.</description>
<author>rishabsaia@gmail.com</author>      <pubDate>Sat, 21 Feb 2026 12:19:04 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/autoneuronet/0.1.9/</link>
      <description>AutoNeuroNet is a fully implemented automatic differentiation engine with custom matrices and a full neural network architecture and training pipeline. It comes with Python bindings through PyBind11, allowing for quick and easy development of networks through Python, backed with C++ for enhanced speed and performance.</description>
<author>rishabsaia@gmail.com</author>      <pubDate>Sun, 15 Feb 2026 04:25:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/autoneuronet/0.1.7/</link>
      <description>AutoNeuroNet is a fully implemented automatic differentiation engine with custom matrices and a full neural network architecture and training pipeline. It comes with Python bindings through PyBind11, allowing for quick and easy development of networks through Python, backed with C++ for enhanced speed and performance.</description>
<author>rishabsaia@gmail.com</author>      <pubDate>Sat, 14 Feb 2026 21:24:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/autoneuronet/0.1.2/</link>
      <description>AutoNeuroNet is a fully implemented automatic differentiation engine with custom matrices and a full neural network architecture and training pipeline. It comes with Python bindings through PyBind11, allowing for quick and easy development of networks through Python, backed with C++ for enhanced speed and performance.</description>
<author>rishabsaia@gmail.com</author>      <pubDate>Sat, 14 Feb 2026 19:10:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/autoneuronet/0.1.1/</link>
      <description>AutoNeuroNet is a fully implemented automatic differentiation engine with custom matrices and a full neural network architecture and training pipeline. It comes with Python bindings through PyBind11, allowing for quick and easy development of networks through Python, backed with C++ for enhanced speed and performance.</description>
<author>rishabsaia@gmail.com</author>      <pubDate>Sat, 14 Feb 2026 18:53:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/autoneuronet/0.1.0/</link>
      <description>AutoNeuroNet is a fully implemented automatic differentiation engine with custom matrices and a full neural network architecture and training pipeline. It comes with Python bindings through PyBind11, allowing for quick and easy development of networks through Python, backed with C++ for enhanced speed and performance.</description>
<author>rishabsaia@gmail.com</author>      <pubDate>Sat, 14 Feb 2026 18:46:46 GMT</pubDate>
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