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https://github.com/brummer10/Ratatouille.lv2
for ratatouille, the Neural-Amp-Modeler and the RTNeural loaders into self contained C++ classes it wont be to hard to reuse them in other projects. Same is true for the convolver class and the dcblocker.
Feel free to use those classes and do so. But note, RTNeural is, as well as BYOD, original written by jatinchowdhury18, so, implementing a model loader into BYOD as plugin would be straight forward for him.
Feel free to use those classes and do so. But note, RTNeural is, as well as BYOD, original written by jatinchowdhury18, so, implementing a model loader into BYOD as plugin would be straight forward for him.
https://github.com/brummer10/Ratatouille.lv2
for ratatouille, the Neural-Amp-Modeler and the RTNeural loaders into self contained C++ classes it wont be to hard to reuse them in other projects. Same is true for the convolver class and the dcblocker.
https://github.com/Chowdhury-DSP/BYOD
for BYOD, there is a signal chain type GUI that already accepts IRs and will just need to accept NAM files
originally posted:
mikeoliphant/neural-amp-modeler-lv2#67
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