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    <title>PyPI recent updates for sotam</title>
    <link>https://pypi.org/project/sotam/</link>
    <description>Recent updates to the Python Package Index for sotam</description>
    <language>en</language>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/sotam/0.2.2/</link>
      <description>SOTAM-VLSTM: A versatile LSTM framework for diverse tasks, cutting workload by ~40% with automation and multi-GPU support.</description>
<author>anandaram.ganapathi@gmail.com</author>      <pubDate>Sat, 07 Dec 2024 10:51:29 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/sotam/0.2.1/</link>
      <description>SOTAM-VLSTM: A versatile LSTM framework for diverse tasks, cutting workload by ~40% with automation and multi-GPU support.</description>
<author>anandaram.ganapathi@gmail.com</author>      <pubDate>Mon, 02 Dec 2024 10:33:15 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/sotam/0.2.0/</link>
      <description>SOTAM-VLSTM: A versatile LSTM framework for diverse tasks, cutting workload by ~40% with automation and multi-GPU support.</description>
<author>anandaram.ganapathi@gmail.com</author>      <pubDate>Mon, 02 Dec 2024 06:33:18 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/sotam/0.1.8/</link>
      <description>SOTAM-VLSTM: A powerful LSTM-based framework for time-series forecasting with automated preprocessing, multi-GPU support, and insightful visualizations.</description>
<author>anandaram.ganapathi@gmail.com</author>      <pubDate>Mon, 02 Dec 2024 05:18:05 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/sotam/0.1.7/</link>
      <description>SOTAM-VLSTM: A next-generation, powerful LSTM-based framework for time-series forecasting and sequential data analysis. It automates preprocessing, enhances training with multi-GPU support, and provides insightful visualizations, making it perfect for applications in finance, healthcare, IoT, and beyond.</description>
<author>anandaram.ganapathi@gmail.com</author>      <pubDate>Sun, 01 Dec 2024 08:56:26 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/sotam/0.1.6/</link>
      <description>SOTAM-VLSTM: A next-generation, powerful LSTM-based framework for time-series forecasting and sequential data analysis. It automates preprocessing, enhances training with multi-GPU support, and provides insightful visualizations, making it perfect for applications in finance, healthcare, IoT, and beyond.</description>
<author>anandaram.ganapathi@gmail.com</author>      <pubDate>Sun, 01 Dec 2024 08:45:19 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/sotam/0.1.5/</link>
      <description>SOTAM-VLSTM: A next-generation, powerful LSTM-based framework for time-series forecasting and sequential data analysis. It automates preprocessing, enhances training with multi-GPU support, and provides insightful visualizations, making it perfect for applications in finance, healthcare, IoT, and beyond.</description>
<author>anandaram.ganapathi@gmail.com</author>      <pubDate>Sun, 01 Dec 2024 08:37:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/sotam/0.1.4/</link>
      <description>SOTAM-VLSTM: A next-generation, powerful LSTM-based framework for time-series forecasting and sequential data analysis. It automates preprocessing, enhances training with multi-GPU support, and provides insightful visualizations, making it perfect for applications in finance, healthcare, IoT, and beyond.</description>
<author>anandaram.ganapathi@gmail.com</author>      <pubDate>Sun, 01 Dec 2024 08:10:05 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/sotam/0.1.3/</link>
      <description>SOTAM-VLSTM: An advanced LSTM framework for time-series prediction and sequential data tasks. It automates preprocessing, optimizes training, supports multi-GPU setups, and provides interactive visualizations. Perfect for applications in finance, IoT, healthcare, and beyond.</description>
<author>anandaram.ganapathi@gmail.com</author>      <pubDate>Sun, 01 Dec 2024 07:25:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/sotam/0.1.2/</link>
      <description>SOTAM-VLSTM: An advanced LSTM framework for time-series prediction and sequential data tasks. It automates preprocessing, optimizes training, supports multi-GPU setups, and provides interactive visualizations. Perfect for applications in finance, IoT, healthcare, and beyond.</description>
<author>anandaram.ganapathi@gmail.com</author>      <pubDate>Sun, 01 Dec 2024 07:12:26 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/sotam/0.1.1/</link>
      <description>A package for VLSTM models and time series forecasting</description>
<author>anandaram.ganapathi@gmail.com</author>      <pubDate>Sat, 30 Nov 2024 14:33:14 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/sotam/0.1.0/</link>
      <description>A finest arch of LSTM</description>
<author>anandaram.ganapathi@gmail.com</author>      <pubDate>Sat, 30 Nov 2024 14:19:58 GMT</pubDate>
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