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    <title>PyPI recent updates for dgaintel</title>
    <link>https://pypi.org/project/dgaintel/</link>
    <description>Recent updates to the Python Package Index for dgaintel</description>
    <language>en</language>    <item>
      <title>2.3</title>
      <link>https://pypi.org/project/dgaintel/2.3/</link>
      <description>Extremely fast and accurate predictions of whether a domain name is genuine or DGA with deep learning.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Fri, 24 Jul 2020 01:11:46 GMT</pubDate>
    </item>    <item>
      <title>2.2</title>
      <link>https://pypi.org/project/dgaintel/2.2/</link>
      <description>Extremely fast and accurate predictions of whether a domain name is genuine or DGA with deep learning.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Thu, 23 Jul 2020 20:59:20 GMT</pubDate>
    </item>    <item>
      <title>2.1</title>
      <link>https://pypi.org/project/dgaintel/2.1/</link>
      <description>Extremely fast and accurate predictions of whether a domain name is genuine or DGA with deep learning.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Sat, 29 Feb 2020 00:29:01 GMT</pubDate>
    </item>    <item>
      <title>2.0</title>
      <link>https://pypi.org/project/dgaintel/2.0/</link>
      <description>Extremely fast and accurate predictions of whether a domain name is genuine or DGA with deep learning.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Tue, 25 Feb 2020 14:43:41 GMT</pubDate>
    </item>    <item>
      <title>1.1</title>
      <link>https://pypi.org/project/dgaintel/1.1/</link>
      <description>Extremely fast and accurate predictions of whether a domain name is genuine or DGA with deep learning.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Thu, 05 Dec 2019 13:46:33 GMT</pubDate>
    </item>    <item>
      <title>1.0</title>
      <link>https://pypi.org/project/dgaintel/1.0/</link>
      <description>Extremely fast and accurate predictions of whether a domain name is genuine or DGA with deep learning.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Mon, 02 Dec 2019 04:38:10 GMT</pubDate>
    </item>    <item>
      <title>0.9</title>
      <link>https://pypi.org/project/dgaintel/0.9/</link>
      <description>Extremely fast and accurate predictions of whether a domain name is genuine or DGA with deep learning.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Tue, 26 Nov 2019 15:51:34 GMT</pubDate>
    </item>    <item>
      <title>0.8</title>
      <link>https://pypi.org/project/dgaintel/0.8/</link>
      <description>Use deep learning to predict whether a domain name is genuine or DGA.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Mon, 25 Nov 2019 21:23:00 GMT</pubDate>
    </item>    <item>
      <title>0.7</title>
      <link>https://pypi.org/project/dgaintel/0.7/</link>
      <description>Use deep learning to predict whether a domain name is genuine or DGA.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Mon, 25 Nov 2019 19:04:11 GMT</pubDate>
    </item>    <item>
      <title>0.6</title>
      <link>https://pypi.org/project/dgaintel/0.6/</link>
      <description>Predict whether a domain name is genuine or DGA.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Mon, 25 Nov 2019 00:49:38 GMT</pubDate>
    </item>    <item>
      <title>0.5</title>
      <link>https://pypi.org/project/dgaintel/0.5/</link>
      <description>Predict whether a domain name is genuine or DGA.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Sun, 24 Nov 2019 23:16:20 GMT</pubDate>
    </item>    <item>
      <title>0.4</title>
      <link>https://pypi.org/project/dgaintel/0.4/</link>
      <description>predict whether a domain is genuine or DGA.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Sun, 24 Nov 2019 22:18:29 GMT</pubDate>
    </item>    <item>
      <title>0.3</title>
      <link>https://pypi.org/project/dgaintel/0.3/</link>
      <description>predict whether a domain is genuine or DGA.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Sun, 24 Nov 2019 21:15:14 GMT</pubDate>
    </item>    <item>
      <title>0.2</title>
      <link>https://pypi.org/project/dgaintel/0.2/</link>
      <description>predict whether a domain is genuine or DGA.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Sun, 24 Nov 2019 20:46:59 GMT</pubDate>
    </item>    <item>
      <title>0.1</title>
      <link>https://pypi.org/project/dgaintel/0.1/</link>
      <description>predict whether a domain is genuine or DGA.</description>
<author>rushil.mallarapu@gmail.com</author>      <pubDate>Sun, 24 Nov 2019 20:34:09 GMT</pubDate>
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