Simple ML neural network
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@Christoph-Hart This is pretty awesome news. I agree that RTNeural looks like a good choice to add as a player. I wouldn't be completely bummed if we had to train models outside of HISE, but the integration of PyTorch would be much welcomed to streamline the workflow.
I would most likely be training models of basic things (like guitar amps) but also component level models. -
i'll just leave this one here, the most impressive use-case i've seen so far
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@Christoph-Hart said in Simple ML neural network:
no need to learn Python and it's weird whitespace syntax lol
i like Python
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@Christoph-Hart WOW!!! Nice surprise,
I can think of ML HISE playing the same role it did for non JUCE C++ experts in dsp developing arena. DDSP or RAVE also will be nice to have onboard.
We all are waiting for your news!! -
Alright maybe I‘ll hold off with the HISE network training part and dust off my Python skillset, the pipeline is just to advanced to not use it for model building.
DDSP and stuff is nice but I think I need to add „conventional“ neural networks first, then we can expand on that (basically fast forwarding the last 30 years of development in this area lol).
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@Christoph-Hart Jatin (the guy who made RTNeural) is super friendly and knowledgeable, i'm sure he'd be happy to answer any questions you have about recurrent models and such if you haven't touched base with him already
i don't think training inside HISE would be particularly useful since it would be limited to the CPU anyway right?
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@iamlamprey No libtorch has GPU support. But I just discovered TorchStudio, that's precisely the kind of GUI wrapper I needed to avoid the frustrating Python first steps stage...
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@Christoph-Hart Alright, the first experimental integration is pushed. You can now load neural networks using RTNeural and either inference it using the scripting API or run it as realtime effect using the
math.neuralnode. I've created an example project with some hello world stuff and a roundtrip tutorial for getting started with TorchStudio:https://github.com/christophhart/hise_tutorial/tree/master/NeuralNetworkExample
This is far from being production ready but it should be good enough for playing around and let me know what features might be interesting to add.
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@Christoph-Hart oh shit! There goes my weekend plans. R.I.P my marriage
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@Christoph-Hart Awesome. My knowledge of Neural Networks is close to 0 but this is a good opportunity to learn something new. Thank you genius!
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checking this out now, very exciting stuff. I also appreciate you skipping over MNIST in the roundtrip example
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@Christoph-Hart Thanks for this
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https://github.com/christophhart/HISE/commit/a295c6c31d7a44e5323cbfde67395131b223a2b4
:beaming_face_with_smiling_eyes:
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@Christoph-Hart said in Simple ML neural network:
A very powerful boost for this functionality could be the Loris library, I can imagine that having an array of highly precise time-varying gain values associated to the harmonic index is a much better input data than these few pixels from a spectrogram
Have you had a chance to play around with this particular use-case? Having the neural node handle the greyishbox modelling sounds a lot more streamlined than fine tuning an additive synth
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@iamlamprey nope, I‘ve suspended my journey into ML until I have a real use case for it :)
If anyone is using this stuff I‘m happy to implement new features or fix issues, but now that the „hello world“ is implemented I expect it to grow with actual projects and their requirement.
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@Christoph-Hart yeah fair enough, i'll keep noodling on this additive synth but i'll definitely be trying the neural & loris pairing at some point
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@Christoph-Hart do you happen to have the training/dataloader for the sine model handy? the repo only has tanh
i'm currently migrating the example over to pure torch because torchstudio keeps uninstalling my local packages and in general is kinda gross
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@d-healey is there a Rhapsody update coming soon? I just tried loading the example as a rhapsody library and (duh) it broke everything, i assume the next version of Rhapsody will be built with the latest version of HISE?
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@iamlamprey said in Simple ML neural network:
is there a Rhapsody update coming soon?
Probably next month.
@iamlamprey said in Simple ML neural network:
i assume the next version of Rhapsody will be built with the latest version of HISE?
Yup
Libre Wave - Freedom respecting instruments and effects
My Patreon - HISE tutorials
YouTube Channel - Public HISE tutorials -
@d-healey i am excited to ignite everyone's CPUs
