<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>RSS feed</title><link>/soeren/category/open-source/</link><description>RSS feed for Open Source</description><language>en</language><lastBuildDate>Tue, 12 Oct 2010 21:11:18 -0000</lastBuildDate><item><title>Overview</title><link>http://sonnenburgs.de/soeren/item/mloss-overview/</link><description>				I am actively promoting open source software in the field of machine
				learning. I have co-organized &lt;a 
					href="http://mloss.org/workshop"&gt;workshops&lt;/a&gt; on machine
				learning open source software. Furthermore, I was involved in
				establishing a new track in the &lt;a href="http://www.jmlr.org"&gt;Journal of
					Machine Learning Research&lt;/a&gt; focusing on open source software (of which I am now one of the action editors). Recently, I became a &lt;a href="http://qa.debian.org/developer.php?login=sonne@debian.org"&gt;Debian Developer&lt;/a&gt; and I am now packaging machine learning and other (scientific) software for &lt;a href="http://www.debian.org"&gt;Debian&lt;/a&gt;. Finally, I am the main author of the open source machine learning &lt;a href="http://www.shogun-toolbox.org"&gt;Shogun toolbox&lt;/a&gt;, which includes all
				of the algorithmic implementations I used and developed in my research.</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Soeren Sonnenburg</dc:creator><pubDate>Tue, 24 Nov 2009 17:41:03 -0000</pubDate><guid>http://sonnenburgs.de/soeren/item/mloss-overview/</guid></item><item><title>Machine Learning Open Source Software</title><link>http://sonnenburgs.de/soeren/item/machine-learning-open-source-software/</link><description>&lt;object&gt;&lt;h5&gt;JMLR is now publishing Machine Learning Open Source Software&lt;/h5&gt;
&lt;p&gt;&lt;img class="jmlr" src="/soeren/media/images/jmlr.png" alt="JMLR" /&gt; The &lt;a href="http://jmlr.csail.mit.edu/"&gt;Journal of Machine Learning Research&lt;/a&gt; now publishes contributions related to implementations of non-trivial machine learning algorithms, toolboxes or even languages for scientific computing. In case you are developing (or already have developed) machine learning open source software (MLOSS) get yourself a JMLR paper in the &lt;a href="http://jmlr.csail.mit.edu/mloss/"&gt;JMLR-MLOSS&lt;/a&gt; track.&lt;/p&gt;
 
&lt;h5&gt;MLOSS.org - The Machine Learning Open Source Software Repository&lt;/h5&gt; 
 
&lt;p&gt; &lt;img class="mloss" src="/soeren/media/images/mlossorg.jpg" alt="MLOSS.org" /&gt; Complementing this effort we have been setting up &lt;a href="http://mloss.org"&gt;mloss.org&lt;/a&gt;. &lt;a href="http://mloss.org"&gt;mloss.org&lt;/a&gt; is a portal for any kind of machine learning open source software. It features
&lt;object&gt;&lt;ul&gt; 
&lt;li&gt;the most recent and up-to-date ML &lt;a href="http://mloss.org/software"&gt;software&lt;/a&gt;&lt;/li&gt; 
&lt;li&gt;software hosting for small projects&lt;/li&gt; 
&lt;li&gt;discussion &lt;a href="http://mloss.org/community/forum"&gt;forums&lt;/a&gt;, a &lt;a href="http://mloss.org/community"&gt;blog&lt;/a&gt;&lt;/li&gt; 
&lt;li&gt;and pointers to the regular &lt;a href="http://mloss.org/workshop"&gt;mloss workshops&lt;/a&gt;.&lt;/li&gt; 
&lt;/ul&gt;&lt;/object&gt;
We ask &lt;b&gt;you&lt;/b&gt; to contribute your (mature or immature), big and small code snippets. &lt;a href="http://mloss.org"&gt;mloss.org&lt;/a&gt; has been written from scratch using &lt;a href="http://djangoproject.com"&gt;Django&lt;/a&gt; by the mloss team (currently &lt;a  href="http://ml.cs.tu-berlin.de/~mikio"&gt;Mikio&lt;/a&gt;, &lt;a href="http://www.inf.ethz.ch/~cong"&gt;Cheng&lt;/a&gt; and me).
&lt;/p&gt;&lt;/object&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Soeren Sonnenburg</dc:creator><pubDate>Tue, 24 Nov 2009 18:38:43 -0000</pubDate><guid>http://sonnenburgs.de/soeren/item/machine-learning-open-source-software/</guid></item><item><title>Debian</title><link>http://sonnenburgs.de/soeren/item/debian/</link><description>In September 2008, I became an official &lt;a href="http://www.debian.org"&gt;Debian&lt;/a&gt; developer. I would like to take the opportunity to thank my sponsor &lt;a href="http://www.twerner42.de/"&gt;Torsten Werner&lt;/a&gt; for all his work and endless patience that made creating debian packages fun. We still meet occasionally at &lt;a href="http://www.c-base.org"&gt;C-Base&lt;/a&gt; doing package maintenance and discussion open source and debian related issues. Without &lt;a href="http://ekaia.org/"&gt;Ana Beatriz Guerrero López&lt;/a&gt; who took the burden of being my Application Manager for almost 10 months I would not have made it into the project - so thanks!&lt;/p&gt;

&lt;p&gt;&lt;img class="debian" src="/soeren/media/images/debian.png" alt="Debian" /&gt;Given my machine learning background I am naturally interested in packaging all kinds of machine learning software for debian.
Since machine learning software benefits from other scientific fields like operations research I am additionally packaging such software too. Together with Aramian Wasilek I am packaging the &lt;a href="http://www.coin-or.org"&gt;Coin-OR&lt;/a&gt; mathematical programming software. The full list of packages I maintain can be seen &lt;a href="http://qa.debian.org/developer.php?login=sonne@debian.org"&gt;here.&lt;/a&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Soeren Sonnenburg</dc:creator><pubDate>Tue, 24 Nov 2009 18:50:22 -0000</pubDate><guid>http://sonnenburgs.de/soeren/item/debian/</guid></item><item><title>Machine Learning Data Set Repository</title><link>http://sonnenburgs.de/soeren/item/machine-learning-data-set-repository/</link><description>Patrik Hoyer, Cheng Soon Ong, Mikio Braun and me are behind an effort to standardize machine learning data formats and to create a machine learning data set repository called &lt;a href="http://mldata.org"&gt;mldata.org&lt;/a&gt; in close resemblance to &lt;a href="http://mloss.org"&gt;mloss.org&lt;/a&gt;. Our aim is to provide a service to the machine learning community that enables reproducible research with as little effort as possible. People will be able to upload and download data sets in various formats including our newly developed &lt;a href="http://www.hdfgroup.org/HDF5/"&gt;hdf5&lt;/a&gt; based standard format. On such data sets they can define learning tasks, group tasks into challenges and submit solutions to particular tasks to get live feedback. We will be publicly announcing this website at &lt;a href="http://nips.cc"&gt;NIPS*2010&lt;/a&gt; at the demo session.</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Soeren Sonnenburg</dc:creator><pubDate>Tue, 12 Oct 2010 21:11:18 -0000</pubDate><guid>http://sonnenburgs.de/soeren/item/machine-learning-data-set-repository/</guid></item></channel></rss>