ml.lib

Machine Learning for Max and Pure Data
Project Description

ml.lib is a library of machine learning externals for Max and Pure Data. ml.lib is primarily based on the Gesture Recognition Toolkit by Nick Gillian ml.lib is designed to work on a variety of platforms including OS X, Windows, Linux, on Intel and ARM architectures.

The goal of ml-lib is to provide a simple, consistent interface to a wide range of machine learning techniques in Max and Pure Data. The canonical NIME 2015 paper on ml-lib can be found here.

This project is a collaboration with Carnegie Mellon University’s ArtFab research group.

Project Details
  • Date - 2014–15
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