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    <title>PyPI recent updates for echelon3</title>
    <link>https://pypi.org/project/echelon3/</link>
    <description>Recent updates to the Python Package Index for echelon3</description>
    <language>en</language>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/echelon3/0.6.0/</link>
      <description>Config-driven PyTorch training framework: assemble nets, data, losses and trainers from YAML</description>
<author>kir.groshenkov@gmail.com</author>      <pubDate>Wed, 08 Jul 2026 10:30:11 GMT</pubDate>
    </item>    <item>
      <title>0.5.2</title>
      <link>https://pypi.org/project/echelon3/0.5.2/</link>
      <description>Config-driven PyTorch training framework: assemble nets, data, losses and trainers from YAML</description>
<author>kir.groshenkov@gmail.com</author>      <pubDate>Wed, 08 Jul 2026 09:24:19 GMT</pubDate>
    </item>    <item>
      <title>0.5.1</title>
      <link>https://pypi.org/project/echelon3/0.5.1/</link>
      <description>Config-driven PyTorch training framework: assemble nets, data, losses and trainers from YAML</description>
<author>kir.groshenkov@gmail.com</author>      <pubDate>Wed, 08 Jul 2026 08:45:00 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/echelon3/0.5.0/</link>
      <description>Config-driven PyTorch training framework: assemble nets, data, losses and trainers from YAML</description>
<author>kir.groshenkov@gmail.com</author>      <pubDate>Wed, 08 Jul 2026 08:30:35 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/echelon3/0.4.1/</link>
      <description>Config-driven PyTorch training framework: assemble nets, data, losses and trainers from YAML</description>
<author>kir.groshenkov@gmail.com</author>      <pubDate>Tue, 07 Jul 2026 10:21:01 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/echelon3/0.4.0/</link>
      <description>Config-driven PyTorch training framework: assemble nets, data, losses and trainers from YAML</description>
<author>kir.groshenkov@gmail.com</author>      <pubDate>Tue, 07 Jul 2026 10:06:14 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/echelon3/0.3.1/</link>
      <description>Config-driven PyTorch training framework: assemble nets, data, losses and trainers from YAML</description>
<author>kir.groshenkov@gmail.com</author>      <pubDate>Tue, 07 Jul 2026 07:29:51 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/echelon3/0.3.0/</link>
      <description>Config-driven PyTorch training framework: assemble nets, data, losses and trainers from YAML</description>
<author>kir.groshenkov@gmail.com</author>      <pubDate>Sun, 05 Jul 2026 15:49:15 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/echelon3/0.2.0/</link>
      <description>Config-driven PyTorch training framework: assemble nets, data, losses and trainers from YAML</description>
<author>kir.groshenkov@gmail.com</author>      <pubDate>Sun, 05 Jul 2026 10:45:30 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/echelon3/0.1.0/</link>
      <description>Config-driven PyTorch training framework: assemble nets, data, losses and trainers from YAML</description>
<author>kir.groshenkov@gmail.com</author>      <pubDate>Sun, 05 Jul 2026 10:21:22 GMT</pubDate>
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