Max Packages
Data Knot
Developed by long-time Max contributor Rodrigo Costanzo (co-author of the karma package), Data Knot builds on the power of FluCoMa to provide a set practical and inspiring machine-learning tools purpose-built for performing musicians.
Learn MoreMachine Learning Packages
Vision
by Cycling '74
Cross-platform and easy-to-use computer vision tools including body, face, and hand trackers, object detection, depth detection and more.
Data Knot
by Rodrigo Constanzo
Machine Learning tools for low latency real-time performance
CataRT-MuBu
by IRCAM & ISMM Team
CataRT-MuBu is a collection of Max patches for corpus-based concatenative synthesis, audio mosaicing, descriptor analysis, transcription, and composition (MuBu package required).
FluidCorpusManipulation
by FluCoMa
Fluid Corpus Manipulation instigates new musical ways of exploiting ever-growing banks of sound and gestures within the digital composition process -- a DSP and machine learning toolset.
ml.lib
by IRL Labs
A library of machine learning externals and feature extraction externals for Max and Pure Data. ml-lib is primarily based on the Gesture Recognition Toolkit by Nick Gillian
MuBu For Max
by ISMM Team & IRCAM
A toolbox for Multimodal Analysis of Sound and Motion, Interactive Sound Synthesis and Machine Learning.
ml.star
by Benjamin D. Smith
Unsupervised machine learning algorithms to support on-line learning, and real-time interactive music and video, aimed at the computer artist and musician.
cv.jit
by Jean-Marc Pelletier
A collection of max/msp/jitter externals, abstractions and help files for computer vision applications originally authored by Jean-Marc Pelletier.
Share Your Creations with Max Packages
A Max Package is the recommended way to share and manage bundles of Max objects along with examples and documentation. You can submit your own package for inclusion in the Max Package Manager, making it easy for others in the community to discover and try your tools.