Free DIY amp & pedal modelling for hardware pedal using the RaspberryPi platform.
GuitarML founder, Keith Bloemer, is an aerospace engineer and guitar player. What started as a passion project has grown into a community of developers and musicians that contribute time and brainpower to make a great product. GuitarML uses machine learning and related technologies to create high-quality guitar tones. Advances in deep learning (artificial intelligence) have made it possible to play near-perfect tonal matches of real amps and pedals through a plugin. While there are many guitar plugins out there, GuitarML’s plugins are unique in that they use advanced machine learning to model the dynamic response of real amps and pedals. GuitarML is working to make this technology easy and accessible to musicians, developers, and AI researchers.
NeuralPi is a DIY guitar pedal using neural networks to emulate real amps and pedals on a Raspberry Pi 4. Models trained from recordings of real amps and pedals can be loaded into the plugin for endless possibilities on your guitar. GuitarML provides the cross compiled VST3 plugin to build your own NeuralPi, as well as Windows and Mac installers (VST3, AU, Standalone) to control the NeuralPi over WiFi. The Win/Mac plugins are fully functional guitar plugins that allow you to try GuitarML’s most advanced amp/pedal models without building the NeuralPi. Version 1.3 has the ability to load conditioned models, in addition to snapshot models. This type of model more accurately replicates the full range of a gain/drive knob.
v1.3 Available formats (from installer):
- Windows 7 and up, 32-bit or 64-bit (Standalone, VST3)
- Mac 10.11 and up (Standalone, AU, VST3)
- Linux (Standalone, VST3, LV2)