<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for metaflowx</title>
    <link>https://pypi.org/project/metaflowx/</link>
    <description>Recent updates to the Python Package Index for metaflowx</description>
    <language>en</language>    <item>
      <title>1.1.10</title>
      <link>https://pypi.org/project/metaflowx/1.1.10/</link>
      <description>A comprehensive, modular machine-learning framework that consolidates datasets, model architectures, optimization algorithms, preprocessing utilities, and evaluation tools into a unified toolkit designed for research, experimentation, and education. metaflowx streamlines end-to-end workflows—from data ingestion to model selection, training, tuning, and validation—empowering learners and researchers with a clean, extensible, and production-aware interface.</description>
<author>the.application.in@gmail.com</author>      <pubDate>Mon, 22 Dec 2025 10:50:28 GMT</pubDate>
    </item>    <item>
      <title>1.1.9</title>
      <link>https://pypi.org/project/metaflowx/1.1.9/</link>
      <description>A comprehensive, modular machine-learning framework that consolidates datasets, model architectures, optimization algorithms, preprocessing utilities, and evaluation tools into a unified toolkit designed for research, experimentation, and education. metaflowx streamlines end-to-end workflows—from data ingestion to model selection, training, tuning, and validation—empowering learners and researchers with a clean, extensible, and production-aware interface.</description>
<author>the.application.in@gmail.com</author>      <pubDate>Mon, 22 Dec 2025 10:47:05 GMT</pubDate>
    </item>    <item>
      <title>1.1.8</title>
      <link>https://pypi.org/project/metaflowx/1.1.8/</link>
      <description>A comprehensive, modular machine-learning framework that consolidates datasets, model architectures, optimization algorithms, preprocessing utilities, and evaluation tools into a unified toolkit designed for research, experimentation, and education. metaflowx streamlines end-to-end workflows—from data ingestion to model selection, training, tuning, and validation—empowering learners and researchers with a clean, extensible, and production-aware interface.</description>
<author>the.application.in@gmail.com</author>      <pubDate>Mon, 22 Dec 2025 10:41:52 GMT</pubDate>
    </item>    <item>
      <title>1.1.7</title>
      <link>https://pypi.org/project/metaflowx/1.1.7/</link>
      <description>A comprehensive, modular machine-learning framework that consolidates datasets, model architectures, optimization algorithms, preprocessing utilities, and evaluation tools into a unified toolkit designed for research, experimentation, and education. metaflowx streamlines end-to-end workflows—from data ingestion to model selection, training, tuning, and validation—empowering learners and researchers with a clean, extensible, and production-aware interface.</description>
<author>the.application.in@gmail.com</author>      <pubDate>Sun, 21 Dec 2025 22:24:53 GMT</pubDate>
    </item>    <item>
      <title>1.1.6</title>
      <link>https://pypi.org/project/metaflowx/1.1.6/</link>
      <description>A comprehensive, modular machine-learning framework that consolidates datasets, model architectures, optimization algorithms, preprocessing utilities, and evaluation tools into a unified toolkit designed for research, experimentation, and education. metaflowx streamlines end-to-end workflows—from data ingestion to model selection, training, tuning, and validation—empowering learners and researchers with a clean, extensible, and production-aware interface.</description>
<author>the.application.in@gmail.com</author>      <pubDate>Sun, 21 Dec 2025 21:53:12 GMT</pubDate>
    </item>    <item>
      <title>1.1.5</title>
      <link>https://pypi.org/project/metaflowx/1.1.5/</link>
      <description>A comprehensive, modular machine-learning framework that consolidates datasets, model architectures, optimization algorithms, preprocessing utilities, and evaluation tools into a unified toolkit designed for research, experimentation, and education. metaflowx streamlines end-to-end workflows—from data ingestion to model selection, training, tuning, and validation—empowering learners and researchers with a clean, extensible, and production-aware interface.</description>
<author>the.application.in@gmail.com</author>      <pubDate>Sun, 21 Dec 2025 21:50:39 GMT</pubDate>
    </item>    <item>
      <title>1.1.4</title>
      <link>https://pypi.org/project/metaflowx/1.1.4/</link>
      <description>A comprehensive, modular machine-learning framework that consolidates datasets, model architectures, optimization algorithms, preprocessing utilities, and evaluation tools into a unified toolkit designed for research, experimentation, and education. metaflowx streamlines end-to-end workflows—from data ingestion to model selection, training, tuning, and validation—empowering learners and researchers with a clean, extensible, and production-aware interface.</description>
<author>the.application.in@gmail.com</author>      <pubDate>Sun, 21 Dec 2025 20:55:23 GMT</pubDate>
    </item>    <item>
      <title>1.1.3</title>
      <link>https://pypi.org/project/metaflowx/1.1.3/</link>
      <description>A comprehensive, modular machine-learning framework that consolidates datasets, model architectures, optimization algorithms, preprocessing utilities, and evaluation tools into a unified toolkit designed for research, experimentation, and education. metaflowx streamlines end-to-end workflows—from data ingestion to model selection, training, tuning, and validation—empowering learners and researchers with a clean, extensible, and production-aware interface.</description>
<author>the.application.in@gmail.com</author>      <pubDate>Sun, 21 Dec 2025 20:22:09 GMT</pubDate>
    </item>    <item>
      <title>1.1.2</title>
      <link>https://pypi.org/project/metaflowx/1.1.2/</link>
      <description>A comprehensive, modular machine-learning framework that consolidates datasets, model architectures, optimization algorithms, preprocessing utilities, and evaluation tools into a unified toolkit designed for research, experimentation, and education. metaflowx streamlines end-to-end workflows—from data ingestion to model selection, training, tuning, and validation—empowering learners and researchers with a clean, extensible, and production-aware interface.</description>
<author>the.application.in@gmail.com</author>      <pubDate>Mon, 01 Dec 2025 06:04:22 GMT</pubDate>
    </item>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/metaflowx/1.1.1/</link>
      <description>A comprehensive, modular machine-learning framework that consolidates datasets, model architectures, optimization algorithms, preprocessing utilities, and evaluation tools into a unified toolkit designed for research, experimentation, and education. metaflowx streamlines end-to-end workflows—from data ingestion to model selection, training, tuning, and validation—empowering learners and researchers with a clean, extensible, and production-aware interface.</description>
<author>the.application.in@gmail.com</author>      <pubDate>Sun, 30 Nov 2025 14:32:19 GMT</pubDate>
    </item>  </channel>
</rss>