Re: GSOC 2020 Idea Discussion

[Benson Muite]

Octave developers are mostly not very fond of "workarounds" meant to defy the provisions of the GPL.

It might be hard to find support for the project idea and therefore a dev willing to mentor if that is the approach.

c.

GNU Octave is GPL (https://www.gnu.org/software/octave/license.html ), but may be helpful to add version number on the website. MLPack is BSD (https://github.com/mlpack/mlpack/blob/master/LICENSE.txt ), which seems compatible with Octave. Dependencies Armadillo (http://arma.sourceforge.net/), Ensmallen (https://ensmallen.org/) and Boost (https://www.boost.org/) seem to have compatible licenses. Pytorch seems to give code writers copyright and require no liability (https://github.com/pytorch/pytorch/blob/master/LICENSE ). Many of the speedups in Pytorch and other large machine learning libraries do come from proprietary architecture specific libraries though.