I posted this in the other thread. You can use this:
It will gladly do LSTM inference, but the training has to happen in python. I haven’t done much with non-audio effect LSTMs. The very rudimentary example below does a nice job with prediction after it is trained, but I haven’t tried to do anything else. The good news is the plugin is now fairly solid and shouldn’t give you too much trouble.
from my other post:
I have found the best repository for LSTM training to be AutomatedGuitarAmpModeling by Alec Wright, which is written using PyTorch. It is used in Proteus and Aida-x and ChowDSP things. I have found it doesn’t just train guitar amps. It works well with time series things as well. I made an example attached below, which will does time series prediction. I think it could be tweaked to do more complex pitch or word prediction. If not, such scripts certainly exist on GitHub. The python scripts used are included in my repository.
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-----------end_max5_patcher-----------