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    <title>PyPI recent updates for uqdeepnn</title>
    <link>https://pypi.org/project/uqdeepnn/</link>
    <description>Recent updates to the Python Package Index for uqdeepnn</description>
    <language>en</language>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/uqdeepnn/0.2.1/</link>
      <description>PyTorch uncertainty quantification toolkit with deep ensembles, Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, Gaussian Processes, and scientific ML backbones.</description>
      <pubDate>Fri, 15 May 2026 12:48:23 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/uqdeepnn/0.2.0/</link>
      <description>PyTorch uncertainty quantification toolkit with deep ensembles, Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, Gaussian Processes, and scientific ML backbones.</description>
      <pubDate>Fri, 15 May 2026 04:02:28 GMT</pubDate>
    </item>    <item>
      <title>0.1.20</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.20/</link>
      <description>PyTorch uncertainty quantification toolkit with deep ensembles, Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, Gaussian Processes, and scientific ML backbones.</description>
      <pubDate>Mon, 11 May 2026 05:01:45 GMT</pubDate>
    </item>    <item>
      <title>0.1.19</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.19/</link>
      <description>PyTorch uncertainty quantification toolkit with deep ensembles, Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, Gaussian Processes, and scientific ML backbones.</description>
      <pubDate>Thu, 02 Apr 2026 04:07:10 GMT</pubDate>
    </item>    <item>
      <title>0.1.18</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.18/</link>
      <description>PyTorch uncertainty quantification toolkit with deep ensembles, Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, Gaussian Processes, and scientific ML backbones.</description>
      <pubDate>Sat, 28 Mar 2026 17:08:42 GMT</pubDate>
    </item>    <item>
      <title>0.1.17</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.17/</link>
      <description>PyTorch uncertainty quantification toolkit with deep ensembles, Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, Gaussian Processes, and scientific ML backbones.</description>
      <pubDate>Thu, 12 Mar 2026 23:57:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.16</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.16/</link>
      <description>PyTorch uncertainty quantification toolkit with deep ensembles, Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, Gaussian Processes, and scientific ML backbones.</description>
      <pubDate>Wed, 11 Mar 2026 05:05:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.15</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.15/</link>
      <description>PyTorch uncertainty quantification toolkit with deep ensembles, Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, Gaussian Processes, and scientific ML backbones.</description>
      <pubDate>Tue, 10 Mar 2026 22:15:03 GMT</pubDate>
    </item>    <item>
      <title>0.1.14</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.14/</link>
      <description>PyTorch uncertainty quantification toolkit with deep ensembles, Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, Gaussian Processes, and scientific ML backbones.</description>
      <pubDate>Tue, 10 Mar 2026 17:15:46 GMT</pubDate>
    </item>    <item>
      <title>0.1.13</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.13/</link>
      <description>PyTorch uncertainty quantification toolkit with deep ensembles, Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, Gaussian Processes, and scientific ML backbones.</description>
      <pubDate>Tue, 10 Mar 2026 05:05:37 GMT</pubDate>
    </item>    <item>
      <title>0.1.12</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.12/</link>
      <description>PyTorch uncertainty quantification toolkit with deep ensembles, Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, Gaussian Processes, and scientific ML backbones.</description>
      <pubDate>Sun, 08 Mar 2026 20:22:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.11/</link>
      <description>PyTorch uncertainty quantification toolkit with deep ensembles, Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, Gaussian Processes, and scientific ML backbones.</description>
      <pubDate>Sun, 08 Mar 2026 19:22:42 GMT</pubDate>
    </item>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.10/</link>
      <description>PyTorch uncertainty quantification toolkit with Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, and Gaussian Processes.</description>
      <pubDate>Sun, 08 Mar 2026 18:17:32 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.9/</link>
      <description>PyTorch uncertainty quantification toolkit with Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, and Gaussian Processes.</description>
      <pubDate>Sun, 08 Mar 2026 15:33:24 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.8/</link>
      <description>PyTorch uncertainty quantification toolkit with Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, and Gaussian Processes.</description>
      <pubDate>Sun, 08 Mar 2026 00:16:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.6/</link>
      <description>PyTorch uncertainty quantification toolkit with Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, and Gaussian Processes.</description>
      <pubDate>Thu, 05 Mar 2026 22:04:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.5/</link>
      <description>PyTorch uncertainty quantification toolkit with Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, and Gaussian Processes.</description>
      <pubDate>Wed, 04 Mar 2026 23:26:29 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.3/</link>
      <description>PyTorch uncertainty quantification toolkit with Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, and Gaussian Processes.</description>
      <pubDate>Tue, 03 Mar 2026 19:30:44 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.2/</link>
      <description>PyTorch uncertainty quantification toolkit with Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, and Gaussian Processes.</description>
      <pubDate>Tue, 03 Mar 2026 17:58:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.1/</link>
      <description>PyTorch uncertainty quantification toolkit with Bayes-by-Backprop VI, Laplace, SGLD, MC Dropout, and Gaussian Processes.</description>
      <pubDate>Sat, 28 Feb 2026 21:04:54 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/uqdeepnn/0.1.0/</link>
      <description>Unified deep learning uncertainty quantification (UQ) toolkit: VI, Laplace, SGLD MCMC, MC Dropout (PyTorch)</description>
      <pubDate>Fri, 03 Oct 2025 05:14:20 GMT</pubDate>
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