Pure Data patch learning and automation

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I want to experiment with software optimisation, taking the program Pure Data, an open source procedural sound deisgn program, and applying machine learning + community participation to see what we can come up with in terms of optimal patches for the results we want to acheive, and thereby optimise and hopefully automate certain processes in sound and audio production.

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