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    <title>PyPI recent updates for matching-pmh</title>
    <link>https://pypi.org/project/matching-pmh/</link>
    <description>Recent updates to the Python Package Index for matching-pmh</description>
    <language>en</language>    <item>
      <title>2.0.0</title>
      <link>https://pypi.org/project/matching-pmh/2.0.0/</link>
      <description>Perturbation Matching Hypothesis (PMH): estimate Sigma_task, matched PMH training, falsification controls — PyTorch, sklearn, HF.</description>
      <pubDate>Thu, 21 May 2026 04:11:00 GMT</pubDate>
    </item>    <item>
      <title>1.5.3</title>
      <link>https://pypi.org/project/matching-pmh/1.5.3/</link>
      <description>Domain-robust PyTorch and sklearn: train on site A, deploy on site B with the same labels.</description>
      <pubDate>Wed, 20 May 2026 07:47:40 GMT</pubDate>
    </item>    <item>
      <title>1.5.1</title>
      <link>https://pypi.org/project/matching-pmh/1.5.1/</link>
      <description>Domain-robust PyTorch and sklearn: train on site A, deploy on site B with the same labels.</description>
      <pubDate>Wed, 20 May 2026 05:07:38 GMT</pubDate>
    </item>    <item>
      <title>1.5.0</title>
      <link>https://pypi.org/project/matching-pmh/1.5.0/</link>
      <description>Domain-robust PyTorch and sklearn: train on site A, deploy on site B with the same labels.</description>
      <pubDate>Wed, 20 May 2026 04:27:31 GMT</pubDate>
    </item>    <item>
      <title>1.4.1</title>
      <link>https://pypi.org/project/matching-pmh/1.4.1/</link>
      <description>Matching Principle for ML: estimate deployment nuisance geometry (Sigma_task, D1-D7) and train any encoder with matched PMH on your representations</description>
      <pubDate>Tue, 19 May 2026 20:19:07 GMT</pubDate>
    </item>    <item>
      <title>1.3.0</title>
      <link>https://pypi.org/project/matching-pmh/1.3.0/</link>
      <description>Matching Principle for ML: estimate deployment nuisance geometry (Sigma_task, D1-D7) and train any encoder with matched PMH on your representations</description>
      <pubDate>Tue, 19 May 2026 18:38:06 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/matching-pmh/1.2.0/</link>
      <description>Architecture-agnostic matching principle: estimate Sigma_task (D1-D7) and train any encoder with matched PMH penalties</description>
      <pubDate>Tue, 19 May 2026 14:58:00 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/matching-pmh/0.8.0/</link>
      <description>Architecture-agnostic matching principle: estimate Sigma_task (D1-D7) and train any encoder with matched PMH penalties</description>
      <pubDate>Tue, 19 May 2026 14:25:37 GMT</pubDate>
    </item>    <item>
      <title>0.7.2</title>
      <link>https://pypi.org/project/matching-pmh/0.7.2/</link>
      <description>Architecture-agnostic matching principle: estimate Sigma_task (D1-D7) and train any encoder with matched PMH penalties</description>
      <pubDate>Tue, 19 May 2026 14:22:47 GMT</pubDate>
    </item>    <item>
      <title>0.7.1</title>
      <link>https://pypi.org/project/matching-pmh/0.7.1/</link>
      <description>Matching Principle for PyTorch: estimate Sigma_task (D1-D7), matched PMH on any encoder (ResNet, ViT, GNN, LLM)</description>
      <pubDate>Tue, 19 May 2026 13:47:03 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/matching-pmh/0.7.0/</link>
      <description>Architecture-agnostic matching principle: estimate Sigma_task (D1-D7) and train any encoder with matched PMH penalties</description>
      <pubDate>Tue, 19 May 2026 13:43:49 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/matching-pmh/0.6.0/</link>
      <description>Reference library for the matching principle: estimate Sigma_task (D1-D7) and matched PMH penalties</description>
      <pubDate>Tue, 19 May 2026 11:39:52 GMT</pubDate>
    </item>  </channel>
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