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Video processing and computer vision library for GNU/Linux offering interfaces to do image- and video-I/O with ImageMagick/Magick++, Xine, firewire digital camera (DC1394), and video for linux (V4L2).
Note that this version of HornetsEye is deprecated. HornetsEye now is released as multiple packages on RubyGems.org. The source code is available on Github.com (see https://wedesoft.github.io/hornetseye-doc/ for more information).
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COLDIC is an integrated lexicographic platform for creation and management of electronic lexica. Generates itself automatically from a DTD with the database schema and provides human interfaces (query and insert tools) and machine interfaces(webservices)
Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
A tool for segmenting objects of interest in images, namely creating masks, and storing them for a set of images. It may provide some automatic/interactive segmentation for certain classes of objects. For computer vision / machine learning applications.
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Hollaka Hollala is a chatbot engine and IRC bot. The chatbot engine uses a knowledge base organized in an XML file and WordNet for dictionary lookup. The IRC Bot has some WordNet- and Web-based functionality and is hot-extensible through Ruby programs.
Convert copy. Pipes existing converter tools together to convert files from a format to another.
E.g. add the converters 'pdf -> text' and 'text -> wav' and you can convert pdf to wav.
Automatically installs missing converters in Debian.
The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
Learner lets you teach a computer in plain English. You can teach both simple statements and ways of reasoning. Learner will ask you follow-up and new questions. See http://teach-computers.org (not yet active).
This is a recommendation system built in ruby which is able to generate recommendations for user inputted data (a text file and a ratings matrix). It works on a hybrid model of collaborative filtering and content based filtering.