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    Simple ML neural network

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    • d.healeyD
      d.healey @scottmire
      last edited by

      @scottmire MIT is a weak license so you can take MIT code and relicense it pretty much however you like. If you are releasing a GPL project then all code in that project needs to be GPL. So the developer of nam-JUCE has relicensed NAM as GPL within their project.

      Libre Wave - Freedom respecting instruments and effects
      My Patreon - HISE tutorials
      YouTube Channel - Public HISE tutorials

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      • S
        scottmire @d.healey
        last edited by

        @d-healey Ahhh got it. Thanks for the clarification.

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        • orangeO
          orange @Dan Korneff
          last edited by

          @Dan-Korneff said in Simple ML neural network:

          Using loadTensorFlowModel() was indeed the solution. I'll try to make some tutorials on training and loading models this weekend.

          @Dan-Korneff @Christoph-Hart
          Is there any progress? We look forward to using this neural model in a guitar amp simulation :)

          develop Branch / XCode 13.1
          macOS Monterey / M1 Max

          Christoph HartC Dan KorneffD 2 Replies Last reply Reply Quote 1
          • Christoph HartC
            Christoph Hart @orange
            last edited by

            @orange Jatin said in the GitHub issue that he's thinking about adding the wavenet model to RTNeural, when that's the case, I'll resume the work to support NAM models.

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            • Dan KorneffD
              Dan Korneff @orange
              last edited by

              @orange I had to take a couple days vacation over here. Back in the office Monday :)

              Dan Korneff - Producer / Mixer / Audio Nerd

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              • O
                Orvillain
                last edited by

                @Christoph-Hart Looks like Jatin has made some progress with this:
                https://github.com/jatinchowdhury18/RTNeural/issues/143#issuecomment-2472915024

                So does this bring us closer to being able to load NAM models into RTNeural inside Hise???

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                • L
                  LozPetts @Orvillain
                  last edited by

                  @Orvillain said in Simple ML neural network:

                  @Christoph-Hart Looks like Jatin has made some progress with this:
                  https://github.com/jatinchowdhury18/RTNeural/issues/143#issuecomment-2472915024

                  So does this bring us closer to being able to load NAM models into RTNeural inside Hise???

                  Has there been any more on getting this going in HISE? I’m following this quite closely, being able to load NAM models into HISE would be a gamechanger, especially if (as someone mentioned before) it was similar to loading in convolution reverbs in terms of ease of use and control.

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                  • JulesVJ
                    JulesV
                    last edited by JulesV

                    @Christoph-Hart Is the CPU performance issue resolved?
                    We look forward to being able to use NAM models quickly and efficiently in our plugins šŸ˜Ž

                    1 Reply Last reply Reply Quote 1
                    • C
                      ccbl
                      last edited by

                      Hey folks! I've been out of the loop for a while. Wondering if there has been any progress with the NAM integration?

                      I actually got a functional plugin working with LSTM but the training procedure is very chaotic so I haven't moved ahead much with it. I will probably provide some updates on that in a different thread though for more discussion around the particulars because I think there are other efficiencies I think might need to be ironed out.

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                      • O
                        Orvillain
                        last edited by

                        @Christoph-Hart @Dan-Korneff

                        Link Preview Image
                        HISE | Scripting | NeuralNetwork

                        Access the neuralNetwork object

                        favicon

                        (docs.hise.dev)

                        There is this call in the docs - does it work? How do you use it? Can you feed in the raw .NAM file as JSON and use it directly?

                        Dan KorneffD 1 Reply Last reply Reply Quote 0
                        • Dan KorneffD
                          Dan Korneff @Orvillain
                          last edited by

                          @Orvillain loadNAMModel is news to me. Haven't tinkered with it yet.

                          Dan Korneff - Producer / Mixer / Audio Nerd

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                          • S
                            scottmire @Dan Korneff
                            last edited by

                            @Dan-Korneff - If memory serves me, I tried this and it didn't work for me. I think it's not fully cooked. I have only been able to get the Tensorflow/AIDA-X stuff to work.

                            1 Reply Last reply Reply Quote 1
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