[PD] [PD-announce] Deep Learning Models in Pure Data with pyext for Python 3
koray.tahiroglu at gmail.com
Thu Jun 3 05:42:00 CEST 2021
As part of the Deep learning with Audio course, we integrated AI-Duet, DDSP, NSynth, GANSynth, SampleRNN models and GANSpaceSynth hybrid architecture in Pure Data. Here it is the link to the course materials with Pd templates and further setup instructions;
We have also developed the pyext external to support Python 3, currently we have instructions for building and installing the SOPI fork of pyext for macOS and linux only. Windows has been problematic when we tried to build pyext, contributions are welcome with building for windows instructions!
Here it is the link to the SOPI fork of pyext.
Department of Media,
School of Arts, Design and Architecture
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