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

• machine learning
• feature extraction

Patches and objects for Algorithmic Composition and statistical processes

• random
• algorithmic
• Experimental DSP
• Probability Distribution Functions
• Heretical Sound Synthesis
• Algorithmic Composition
• synthesis
• probability
• audio
• Statistical Processes
• noise

The Delicious Max tutorial series, as a Max package

• Youtube
• tutorials
• dude837

Zero-configuration networking for Max.

Lightweight reference implementation of a package built using the Min-API.

Use easing functions in Max for audio, visuals, and automation.

With VIZZIE, you just grab a few simple modules, connect them together and almost instantly have a VJ rig or interactive video work, complete with real-time effects.

A collection of useful abstractions for gesture processing and building digital musical instruments.

• data
• control
• abstractions
• gesture
• quaternion
• music
• audio

MuBu: A toolbox for Multimodal Analysis of Sound and Motion, Interactive Sound Synthesis and Machine Learning. Including: real-time and batch data processing (sound descriptors, motion features, filtering); granular, concatenative and additive synthesis; data visualization; static and temporal recognition; regression algorithms.

• gesture recognition
• visualization
• descriptors
• externals
• gesture
• filtering
• data
• synthesis
• machine learning
• analysis

Connect to Sensel Morph control surfaces.

A toolbox of unsupervised machine learning algorithms implemented in Max to support on-line learning, and real-time interactive music and video, aimed at the computer artist and musician.

• machine learning
• audio
• video
• markov

Tools to build and deploy Gen effects on the MOD Duo pedal from MOD Devices.

• audio
• gen
• hardware
• code export