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    <title>PyPI recent updates for onnx-ir</title>
    <link>https://pypi.org/project/onnx-ir/</link>
    <description>Recent updates to the Python Package Index for onnx-ir</description>
    <language>en</language>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/onnx-ir/0.2.0/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Tue, 24 Feb 2026 02:31:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.16</title>
      <link>https://pypi.org/project/onnx-ir/0.1.16/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Mon, 09 Feb 2026 21:04:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.15</title>
      <link>https://pypi.org/project/onnx-ir/0.1.15/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Wed, 21 Jan 2026 17:42:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.14</title>
      <link>https://pypi.org/project/onnx-ir/0.1.14/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Wed, 07 Jan 2026 01:19:46 GMT</pubDate>
    </item>    <item>
      <title>0.1.13</title>
      <link>https://pypi.org/project/onnx-ir/0.1.13/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Wed, 17 Dec 2025 18:03:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.12</title>
      <link>https://pypi.org/project/onnx-ir/0.1.12/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Tue, 28 Oct 2025 23:43:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/onnx-ir/0.1.11/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Wed, 15 Oct 2025 22:20:45 GMT</pubDate>
    </item>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/onnx-ir/0.1.10/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Tue, 30 Sep 2025 20:11:38 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/onnx-ir/0.1.9/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Fri, 12 Sep 2025 16:50:38 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/onnx-ir/0.1.8/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Fri, 05 Sep 2025 15:45:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/onnx-ir/0.1.7/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Fri, 22 Aug 2025 15:01:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/onnx-ir/0.1.6/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Mon, 11 Aug 2025 23:55:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/onnx-ir/0.1.5/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Fri, 08 Aug 2025 17:06:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/onnx-ir/0.1.4/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Fri, 04 Jul 2025 08:02:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/onnx-ir/0.1.3/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Thu, 26 Jun 2025 16:23:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/onnx-ir/0.1.2/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Wed, 18 Jun 2025 00:45:40 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/onnx-ir/0.1.1/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Tue, 03 Jun 2025 19:30:18 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/onnx-ir/0.1.0/</link>
      <description>Efficient in-memory representation for ONNX</description>
<author>onnx-technical-discuss@lists.lfaidata.foundation</author>      <pubDate>Thu, 29 May 2025 00:58:48 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/onnx-ir/0.0.1/</link>
      <description>None</description>
<author>justinchu@microsoft.com</author>      <pubDate>Thu, 30 Jan 2025 19:49:47 GMT</pubDate>
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