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    <title>PyPI recent updates for d9d</title>
    <link>https://pypi.org/project/d9d/</link>
    <description>Recent updates to the Python Package Index for d9d</description>
    <language>en</language>    <item>
      <title>0.14.0</title>
      <link>https://pypi.org/project/d9d/0.14.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Thu, 21 May 2026 16:39:24 GMT</pubDate>
    </item>    <item>
      <title>0.13.1</title>
      <link>https://pypi.org/project/d9d/0.13.1/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Thu, 23 Apr 2026 00:04:23 GMT</pubDate>
    </item>    <item>
      <title>0.13.0</title>
      <link>https://pypi.org/project/d9d/0.13.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Mon, 20 Apr 2026 13:21:55 GMT</pubDate>
    </item>    <item>
      <title>0.12.0</title>
      <link>https://pypi.org/project/d9d/0.12.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Tue, 14 Apr 2026 21:34:05 GMT</pubDate>
    </item>    <item>
      <title>0.11.0</title>
      <link>https://pypi.org/project/d9d/0.11.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Mon, 13 Apr 2026 23:21:48 GMT</pubDate>
    </item>    <item>
      <title>0.10.0</title>
      <link>https://pypi.org/project/d9d/0.10.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Mon, 13 Apr 2026 00:57:17 GMT</pubDate>
    </item>    <item>
      <title>0.9.0</title>
      <link>https://pypi.org/project/d9d/0.9.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Wed, 08 Apr 2026 01:53:55 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/d9d/0.8.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Sun, 22 Mar 2026 00:25:31 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/d9d/0.7.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Wed, 18 Mar 2026 23:43:50 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/d9d/0.6.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Wed, 11 Mar 2026 18:11:39 GMT</pubDate>
    </item>    <item>
      <title>0.5.4</title>
      <link>https://pypi.org/project/d9d/0.5.4/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Tue, 10 Mar 2026 00:30:29 GMT</pubDate>
    </item>    <item>
      <title>0.5.3</title>
      <link>https://pypi.org/project/d9d/0.5.3/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Sun, 01 Mar 2026 23:00:28 GMT</pubDate>
    </item>    <item>
      <title>0.5.2</title>
      <link>https://pypi.org/project/d9d/0.5.2/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Tue, 24 Feb 2026 16:37:03 GMT</pubDate>
    </item>    <item>
      <title>0.5.1</title>
      <link>https://pypi.org/project/d9d/0.5.1/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Thu, 12 Feb 2026 21:44:19 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/d9d/0.5.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Thu, 12 Feb 2026 19:14:53 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/d9d/0.4.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Tue, 10 Feb 2026 21:45:16 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/d9d/0.3.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Mon, 09 Feb 2026 23:52:32 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/d9d/0.2.4/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Mon, 09 Feb 2026 15:15:48 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/d9d/0.2.3/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Thu, 05 Feb 2026 23:00:34 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/d9d/0.2.2/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Thu, 05 Feb 2026 08:31:50 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/d9d/0.2.1/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Thu, 05 Feb 2026 02:03:31 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/d9d/0.2.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Wed, 04 Feb 2026 23:33:03 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/d9d/0.1.1/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Wed, 04 Feb 2026 18:10:58 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/d9d/0.1.0/</link>
      <description>d9d - d[istribute]d - distributed training framework based on PyTorch that tries to be efficient yet hackable</description>
<author>mr.applexz@gmail.com</author>      <pubDate>Wed, 04 Feb 2026 15:57:27 GMT</pubDate>
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