rapidmax is the RapidLib C++ machine learning library wrapped into a max object.
A machine learning object for gesture-sound interaction design. It provides a set of supervised machine learning algorithms that implement multilayer perceptron artificial neural networks, allowing to train linear regression and k-nearerst neighbour classification models between multiple dimensions of input and target output, and predict new output values based on new input data.
If you have Git or GitHub Desktop installed, you can clone this repo via Terminal using the following commands:
cd ~/Documents/Max\ 8/Packages
git clone https://github.com/francesco-di-maggio/rapidmax
If not, you can download the latest release here. After decompressing the zip archive, the resulting folder must be placed in the max search path, preferably in the following path:
~/Documents/Max\ 8/Packages
Open the helpfile (rapidmax/help/rapidmax.maxhelp) for how to use the object.
This object is one outcome of the RapidMix project, which received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N°644862.
- MacOS version by Sam Parke Wolfe —› RapidMax
- Windows version by Martin Townley —› RapidMax_Windows
© 2021 Goldsmiths University of London