<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for submodlib-py</title>
    <link>https://pypi.org/project/submodlib-py/</link>
    <description>Recent updates to the Python Package Index for submodlib-py</description>
    <language>en</language>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/submodlib-py/0.0.3/</link>
      <description>SubModLib is an easy-to-use, efficient and scalable Python library for submodular optimization with a C++ optimization engine. Submodlib finds its application in summarization, data subset selection, hyper parameter tuning, efficient training etc. Through a rich API, it offers a great deal of flexibility in the way it can be used.</description>
<author>vkaushal@cse.iitb.ac.in, krishnateja.k@ibm.com, skothawade@google.com, ganesh@cse.iitb.ac.in, rishabh.iyer@utdallas.edu</author>      <pubDate>Wed, 14 May 2025 16:22:59 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/submodlib-py/0.0.2/</link>
      <description>SubModLib is an easy-to-use, efficient and scalable Python library for submodular optimization with a C++ optimization engine. Submodlib finds its application in summarization, data subset selection, hyper parameter tuning, efficient training etc. Through a rich API, it offers a great deal of flexibility in the way it can be used.</description>
<author>vkaushal@cse.iitb.ac.in, krishnateja.k@ibm.com, skothawade@google.com, ganesh@cse.iitb.ac.in, rishabh.iyer@utdallas.edu</author>      <pubDate>Mon, 14 Apr 2025 20:24:22 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/submodlib-py/0.0.1/</link>
      <description>SubModLib is an easy-to-use, efficient and scalable Python library for submodular optimization with a C++ optimization engine. Submodlib finds its application in summarization, data subset selection, hyper parameter tuning, efficient training etc. Through a rich API, it offers a great deal of flexibility in the way it can be used.</description>
<author>vkaushal@cse.iitb.ac.in, krishnateja.k@ibm.com, skothawade@google.com, ganesh@cse.iitb.ac.in, rishabh.iyer@utdallas.edu</author>      <pubDate>Wed, 19 Mar 2025 17:00:24 GMT</pubDate>
    </item>  </channel>
</rss>