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    <title>PyPI recent updates for datatunner</title>
    <link>https://pypi.org/project/datatunner/</link>
    <description>Recent updates to the Python Package Index for datatunner</description>
    <language>en</language>    <item>
      <title>3.1.1</title>
      <link>https://pypi.org/project/datatunner/3.1.1/</link>
      <description>DataTunner: Scientific Platform for Optimal Artificial Data Proportion in Deep Learning</description>
<author>leandrocrx@gmail.com</author>      <pubDate>Fri, 10 Jul 2026 17:17:53 GMT</pubDate>
    </item>    <item>
      <title>3.1.0</title>
      <link>https://pypi.org/project/datatunner/3.1.0/</link>
      <description>DataTunner: Scientific Platform for Optimal Artificial Data Proportion in Deep Learning</description>
<author>leandrocrx@gmail.com</author>      <pubDate>Thu, 09 Jul 2026 18:25:57 GMT</pubDate>
    </item>    <item>
      <title>3.0.0</title>
      <link>https://pypi.org/project/datatunner/3.0.0/</link>
      <description>DataTunner: Scientific Platform for Optimal Artificial Data Proportion in Deep Learning</description>
<author>leandrocrx@gmail.com</author>      <pubDate>Thu, 09 Jul 2026 16:32:48 GMT</pubDate>
    </item>    <item>
      <title>2.0.0</title>
      <link>https://pypi.org/project/datatunner/2.0.0/</link>
      <description>Ferramenta para determinar a proporção ideal de dados sintéticos em modelos de ML</description>
<author>leandro.rocha@example.com</author>      <pubDate>Tue, 07 Jul 2026 01:39:45 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/datatunner/0.1.5/</link>
      <description>Ferramenta para determinar a proporção ideal de dados sintéticos em modelos de ML</description>
<author>leandro.rocha@example.com</author>      <pubDate>Mon, 23 Feb 2026 20:57:53 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/datatunner/0.1.4/</link>
      <description>Ferramenta para determinar a proporção ideal de dados sintéticos em modelos de ML</description>
<author>leandro.rocha@example.com</author>      <pubDate>Mon, 23 Feb 2026 14:39:19 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/datatunner/0.1.3/</link>
      <description>Ferramenta para determinar a proporção ideal de dados sintéticos em modelos de ML</description>
<author>leandro.rocha@example.com</author>      <pubDate>Mon, 23 Feb 2026 14:26:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/datatunner/0.1.2/</link>
      <description>Ferramenta para determinar a proporção ideal de dados sintéticos em modelos de ML</description>
<author>leandro.rocha@example.com</author>      <pubDate>Tue, 10 Feb 2026 17:32:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/datatunner/0.1.1/</link>
      <description>Ferramenta para determinar a proporção ideal de dados sintéticos em modelos de ML</description>
<author>leandro.rocha@example.com</author>      <pubDate>Tue, 10 Feb 2026 12:22:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/datatunner/0.1.0/</link>
      <description>Ferramenta para determinar a proporção ideal de dados sintéticos em modelos de ML</description>
<author>leandro.rocha@example.com</author>      <pubDate>Mon, 09 Feb 2026 20:55:53 GMT</pubDate>
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