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Music composing using genetic programming and neural networks
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cagatay/Evolution-9
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this is our bs project which aims to create songs like the ones by the beatles (by 'like' i simply mean 'as catchy as') using genetic programming and artificial neural networks and no human interaction at all during evaluation process. It has a GTK gui to track the process and play the results. if anybody here is interested in the idea or thinks it's viable, please contact us. we don't have crazy results yet, but there's still a lot to do. CONTRIBUTIONS (IN ANY WAY) ARE HIGHLY APPRECIATED, especially on neural networks and music theory which we miserably suck at. (i know code is a mess now, sorry) requirements: python 2.6 (strictly) pybrain (and its own requirements) mingus pyevolve pygtk installation: python 2.6 http://www.python.org/download pybrain http://pybrain.org/pages/download (make sure that you installed SciPy and Numpy) mingus http://code.google.com/p/mingus/downloads/list pyevolve http://pyevolve.sourceforge.net/intro.html#downloads
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