Niccolò Granieri

We are delighted to announce the latest release of ml-lib, a machine learning library 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 and on both Intel and ARM architectures.

The latest release of ml.lib includes, but is not limited to:

- Documentation improvements: a newly autogenerated set of helpfiles will ship with every ml.lib object providing the user with a detailed description and example of every feature

- Object renaming: a few objects conflicting with other libraries have been renamed to provide a better user experience

 for specific bug reports or requests. Please don't hesitate to contact Jamie, the lead developer (jamie.b.bullock AT gee mail point com) or myself (granieriniccolo AT gee mail point com) if you have any questions or requests.

For more details, installation instructions and various links: 

ml-lib: A machine learning library for Max and Pure Data

Please use the GitHub issue tracker for specific bug reports or requests. Please don't hesitate to contact Jamie, the lead developer (jamie.b.bullock AT gee mail point com) or myself (granieriniccolo AT gee mail point com) if you have any questions or requests.

For more details, installation instructions and various links: ml-lib: A machine learning library for Max and Pure Data 

We are delighted to announce the latest release of ml-lib, a machine learning library for Max and Pure Data. ml-lib is primarily based on th

ml.lib 1.0.2 release announcement