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    <title>PyPI recent updates for streamlit-mnist-canvas</title>
    <link>https://pypi.org/project/streamlit-mnist-canvas/</link>
    <description>Recent updates to the Python Package Index for streamlit-mnist-canvas</description>
    <language>en</language>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/streamlit-mnist-canvas/0.1.1/</link>
      <description>A Streamlit component tailored for handwriting digit recognition using the MNIST dataset. This component allows users to draw digits on a canvas, facilitating integration with various machine learning models for digit recognition. It&#39;s ideal for educational, development, and testing purposes within Streamlit applications.</description>
<author>gohei.kusumi@gmail.com</author>      <pubDate>Fri, 17 Nov 2023 16:30:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/streamlit-mnist-canvas/0.1.0/</link>
      <description>A Streamlit component tailored for handwriting digit recognition using the MNIST dataset. This component allows users to draw digits on a canvas, facilitating integration with various machine learning models for digit recognition. It&#39;s ideal for educational, development, and testing purposes within Streamlit applications.</description>
<author>gohei.kusumi@gmail.com</author>      <pubDate>Fri, 17 Nov 2023 15:48:06 GMT</pubDate>
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