<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for dlspit</title>
    <link>https://pypi.org/project/dlspit/</link>
    <description>Recent updates to the Python Package Index for dlspit</description>
    <language>en</language>    <item>
      <title>2.0.1</title>
      <link>https://pypi.org/project/dlspit/2.0.1/</link>
      <description>A multi-domain experiment package: Deep Learning (MLP, CNN, ResNet, RNN, LSTM, Transformer, GAN, VAE) and ML ESE Lab (regression, SVM, decision tree, random forest, XGBoost, k-means).</description>
      <pubDate>Mon, 11 May 2026 18:21:15 GMT</pubDate>
    </item>    <item>
      <title>2.0.0</title>
      <link>https://pypi.org/project/dlspit/2.0.0/</link>
      <description>A multi-domain experiment package: Deep Learning (MLP, CNN, ResNet, RNN, LSTM, Transformer, GAN, VAE) and ML ESE Lab (regression, SVM, decision tree, random forest, XGBoost, k-means).</description>
<author>pratham.shid23@spit.ac.in</author>      <pubDate>Sun, 10 May 2026 18:40:44 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/dlspit/1.0.3/</link>
      <description>A collection of Deep Learning experiments: MLP, CNN, ResNet, RNN, LSTM, Transformer, GAN, VAE, Transfer Learning.</description>
<author>pratham.shid23@spit.ac.in</author>      <pubDate>Tue, 28 Apr 2026 20:53:12 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/dlspit/1.0.0/</link>
      <description>A collection of Deep Learning experiments: MLP, CNN, ResNet, RNN, LSTM, Transformer, GAN, VAE, Transfer Learning.</description>
<author>pratham.shid23@spit.ac.in</author>      <pubDate>Tue, 28 Apr 2026 20:19:58 GMT</pubDate>
    </item>  </channel>
</rss>