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<description>henrik&#39;s bookmarks tagged &quot;github&quot; on Netvouz</description>
<item><title>IBM at Github</title>
<link>http://ibm.github.io/</link>
<description>IBM&#39;s open source projects at Github</description>
<category domain="http://netvouz.com/henrik?category=1331342879911545057">Development</category>
<author>henrik</author>
<pubDate>Fri, 09 Oct 2015 07:07:23 GMT</pubDate>
</item><item><title>Mobiscroll on Github</title>
<link>https://github.com/acidb/mobiscroll</link>
<description>Download latest free Mobiscroll component.</description>
<category domain="http://netvouz.com/henrik?category=855116154602654741">Development &gt; JavaScript, AJAX &amp; Dojo</category>
<author>henrik</author>
<pubDate>Sun, 09 Jun 2013 09:29:15 GMT</pubDate>
</item><item><title>MQTT Client Package - JavaScript Language</title>
<link>http://git.eclipse.org/c/paho/org.eclipse.paho.mqtt.javascript.git/</link>
<description>org.eclipse.paho.mqtt.javascript.git at Github</description>
<category domain="http://netvouz.com/henrik?category=855116154602654741">Development &gt; JavaScript, AJAX &amp; Dojo</category>
<author>henrik</author>
<pubDate>Fri, 06 Dec 2013 11:37:08 GMT</pubDate>
</item><item><title>Predicting Stock Price with LSTM - Towards Data Science</title>
<link>https://towardsdatascience.com/predicting-stock-price-with-lstm-13af86a74944</link>
<description>Machine learning has found its applications in many interesting fields over these years. Taming stock market is one of them. I had been thinking of giving it a shot for quite some time now; mostly to solidify my working knowledge of LSTMs. And finally I have finished the project and quite excited to share my experience.</description>
<category domain="http://netvouz.com/henrik?category=968349102261480250">Artificial Intelligence AI</category>
<author>henrik</author>
<pubDate>Mon, 22 Jul 2019 10:57:40 GMT</pubDate>
</item><item><title>Shinobi github</title>
<link>https://github.com/moeiscool/Shinobi/tree/master</link>
<description>Shinobi CE - The Free Open Source CCTV platform written in Node.JS (Camera Recorder - Security Surveillance Software - Restreamer</description>
<category domain="http://netvouz.com/henrik?category=3974504362012310387">Hus &amp; Hem &gt; Kameraövervakning &gt; Shinobi</category>
<author>henrik</author>
<pubDate>Sat, 07 Apr 2018 19:11:41 GMT</pubDate>
</item><item><title>Stock Market Prediction by Recurrent Neural Network on LSTM Model</title>
<link>https://blog.usejournal.com/stock-market-prediction-by-recurrent-neural-network-on-lstm-model-56de700bff68</link>
<description>The art of forecasting stock prices has been a difficult task for many of the researchers and analysts. In fact, investors are highly interested in the research area of stock price prediction. For a good and successful investment, many investors are keen on knowing the future situation of the stock market. Good and effective prediction systems for stock market help traders, investors, and analyst by providing supportive information like the future direction of the stock market. In this work, we present a recurrent neural network (RNN) and Long Short-Term Memory (LSTM) approach to predict stock market indices.</description>
<category domain="http://netvouz.com/henrik?category=968349102261480250">Artificial Intelligence AI</category>
<author>henrik</author>
<pubDate>Mon, 22 Jul 2019 10:53:46 GMT</pubDate>
</item><item><title>ZoneMinder - GitHub</title>
<link>https://github.com/ZoneMinder/ZoneMinder/</link>
<description>ZoneMinder development on GitHub</description>
<category domain="http://netvouz.com/henrik?category=1128432717950713444">Hus &amp; Hem &gt; Kameraövervakning</category>
<author>henrik</author>
<pubDate>Sat, 18 Jan 2014 20:02:31 GMT</pubDate>
</item><item><title>ZoneMinder source on GitHub</title>
<link>https://github.com/ZoneMinder/ZoneMinder</link>
<description>ZoneMinder source code on GitHub</description>
<category domain="http://netvouz.com/henrik?category=1128432717950713444">Hus &amp; Hem &gt; Kameraövervakning</category>
<author>henrik</author>
<pubDate>Wed, 22 Oct 2014 21:21:00 GMT</pubDate>
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