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    <title>PyPI recent updates for tensorflores</title>
    <link>https://pypi.org/project/tensorflores/</link>
    <description>Recent updates to the Python Package Index for tensorflores</description>
    <language>en</language>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/tensorflores/0.1.11/</link>
      <description>TensorFlores is a Python-based framework for optimizing machine learning deployment in resource-constrained environments, with support for TinyML, EdgeAI, and quantization.</description>
<author>thommas.flores.101@ufrn.edu.br</author>      <pubDate>Mon, 04 Aug 2025 00:29:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/tensorflores/0.1.10/</link>
      <description>TensorFlores is a Python-based framework for optimizing machine learning deployment in resource-constrained environments, with support for TinyML, EdgeAI, and quantization.</description>
<author>thommas.flores.101@ufrn.edu.br</author>      <pubDate>Thu, 24 Jul 2025 21:07:49 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/tensorflores/0.1.9/</link>
      <description>TensorFlores is a Python-based framework for optimizing machine learning deployment in resource-constrained environments, with support for TinyML, EdgeAI, and quantization.</description>
<author>thommas.flores.101@ufrn.edu.br</author>      <pubDate>Thu, 24 Jul 2025 19:47:29 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/tensorflores/0.1.8/</link>
      <description>TensorFlores is a Python-based framework for optimizing machine learning deployment in resource-constrained environments, with support for TinyML, EdgeAI, and quantization.</description>
<author>thommas.flores.101@ufrn.edu.br</author>      <pubDate>Thu, 10 Apr 2025 11:21:04 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/tensorflores/0.1.7/</link>
      <description>TensorFlores is a Python-based framework for optimizing machine learning deployment in resource-constrained environments, with support for TinyML, EdgeAI, and quantization.</description>
<author>thommas.flores.101@ufrn.edu.br</author>      <pubDate>Wed, 09 Apr 2025 16:51:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/tensorflores/0.1.6/</link>
      <description>TensorFlores is a Python-based framework for optimizing machine learning deployment in resource-constrained environments, with support for TinyML, EdgeAI, and quantization.</description>
<author>thommas.flores.101@ufrn.edu.br</author>      <pubDate>Wed, 09 Apr 2025 15:07:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/tensorflores/0.1.5/</link>
      <description>The TensorFlores framework is a Python-based solution designed for optimizing machine learning deployment in resource-constrained environments.</description>
<author>thommas.flores.101@ufrn.edu.br</author>      <pubDate>Fri, 14 Feb 2025 11:18:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/tensorflores/0.1.4/</link>
      <description>collection of biblical humans and their family relations</description>
<author>thommas.flores.101@ufrn.edu.br</author>      <pubDate>Thu, 13 Feb 2025 19:06:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/tensorflores/0.1.3/</link>
      <description>collection of biblical humans and their family relations</description>
<author>thommas.flores.101@ufrn.edu.br</author>      <pubDate>Thu, 13 Feb 2025 18:53:29 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/tensorflores/0.1.2/</link>
      <description>collection of biblical humans and their family relations</description>
<author>thommas.flores.101@ufrn.edu.br</author>      <pubDate>Thu, 13 Feb 2025 18:35:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/tensorflores/0.1.1/</link>
      <description>collection of biblical humans and their family relations</description>
<author>thommas.flores.101@ufrn.edu.br</author>      <pubDate>Thu, 13 Feb 2025 18:05:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/tensorflores/0.1.0/</link>
      <description>collection of biblical humans and their family relations</description>
<author>thommas.flores.101@ufrn.edu.br</author>      <pubDate>Thu, 13 Feb 2025 17:43:24 GMT</pubDate>
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