GIMLeT – Gestural Interaction Machine Learning Toolkit
"Dicy2 for Max" is a Max package implementing interactive agents using machine-learning to generate musical sequences that can be integrated into musical situations ranging from the production of structured material within a compositional process to the design of autonomous agents for improvised interaction. Check also our plugin for Ableton live !
A set of Max abstractions designed for computing motion descriptors from raw motion capture data in real time.
Model View Controller in Max
Repository for the TouchBox
A student collaboration for a class at HKU. A standalone system that uses cloth to interact between human touch and a musical/sound coding system
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