Re: [Faudiostream-users] New Python examples using Faust, JAX, and the Box API

Hi David, Fantastic, thanks for this great contribution! I think it would be really interesting to organize an online presentation for the Faust community. What do you think about it? Cheers, Yann Le jeu. 20 oct. 2022 à 20:15, Stéphane Letz a écrit : > Hi David, > > Thanks for this awesome

Re: [Faudiostream-users] New Python examples using Faust, JAX, and the Box API

However, the downside of relying on Flax for its standard Dense module is that there's less hope that the trained model could be re-exported into some target language like C++. On Thu, Oct 20, 2022 at 1:42 PM David Braun wrote: > Thanks! > > Yes, referring to your DNN: >

Re: [Faudiostream-users] New Python examples using Faust, JAX, and the Box API

Thanks! Yes, referring to your DNN: https://github.com/grame-cncm/faust/blob/master-dev/examples/filtering/DNN.dsp If you look at the DDSP diagram (https://magenta.tensorflow.org/ddsp), there are encoders and decoders in red. The DNN.dsp could achieve what those encoders/decoders do. Also, the

Re: [Faudiostream-users] New Python examples using Faust, JAX, and the Box API

Yes, kudos! I can't wait to try optimizing some Faust models using gradient descent! In principle, this solves the training problem for /examples/filtering/DNN.dsp, right? Cheers, - Julius On Thu, Oct 20, 2022 at 11:16 AM Stéphane Letz wrote: > > Hi David, > > Thanks for this awesome

Re: [Faudiostream-users] New Python examples using Faust, JAX, and the Box API

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 a écrit : > > Faust now supports the machine learning framework JAX as a backend. >

Re: [Faudiostream-users] New Python examples using Faust, JAX, and the Box API

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 a écrit : > > Faust now supports the machine learning framework JAX as a backend. >

[Faudiostream-users] New Python examples using Faust, JAX, and the Box API

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:

Re: [Faudiostream-users] New Python examples using Faust, JAX, and the Box API

These links will go straight to the Colabs rather than GitHub first. 1. Faust to JAX 2. Faust to QDax