Yes, kudos! I can't wait to try optimizing some Faust models using gradient descent!
In principle, this solves the training problem for <faust>/examples/filtering/DNN.dsp, right? Cheers, - Julius On Thu, Oct 20, 2022 at 11:16 AM Stéphane Letz <l...@grame.fr> wrote: > > Hi David, > > Thanks for this awesome contribution ! Hopefully opening an entirely new > world in the Machine Learning domain for the Faust ecosystem! > > Cheers, > > Stéphane > > > Le 20 oct. 2022 à 12:48, David Braun <br...@ccrma.stanford.edu> a écrit : > > > > Faust now supports the machine learning framework JAX as a backend. > > DawDreamer is a python module where you can conveniently convert Faust code > > to JAX. DawDreamer has two new Colabs demonstrating this Faust to JAX > > pipeline: > > • Faust to JAX: Optimize parameters using gradient descent. > > • Faust to QDax: Optimize with Quality-Diversity algorithms. > > There's an additional notebook covering the Box API in Python. You can > > access the intermediate representation of Faust, programmatically compose > > boxes, then render audio with DawDreamer, or transpile to a target language > > (C++, JAX, Rust, etc.). > > > > More information in the tweet: > > https://twitter.com/DoItRealTime/status/1583042473227452416 > > > > Please check out the Colabs, and feel free to contact me. > > > > Best, > > > > David > > _______________________________________________ > > Faudiostream-users mailing list > > Faudiostream-users@lists.sourceforge.net > > https://lists.sourceforge.net/lists/listinfo/faudiostream-users > > > > _______________________________________________ > Faudiostream-users mailing list > Faudiostream-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/faudiostream-users -- "Anybody who knows all about nothing knows everything" -- Leonard Susskind _______________________________________________ Faudiostream-users mailing list Faudiostream-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/faudiostream-users
