A free, open-source machine-learning guitar amp & pedal modeller.
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.
Proteus is the new standard in GuitarML device capture, maintaining sound quality while dramatically decreasing CPU usage from the SmartPedal. Create your own Knob captures of the full range of a Drive / Gain / EQ knob from your amp or pedal, or quickly create snapshot models of a single setting. Download the Proteus Capture Utility and check out the tutorial videos for the easiest way to capture Amplifiers and Distortion/Overdrive/Boost pedals, and check out the growing ToneLibrary for pre-made tones from popular and rare guitar gear.
Proteus uses a LSTM neural network to emulate guitar amplifiers/preamps and distortion/overdrive/boost pedals. You can capture the sound of an amplifier either by recording with a microphone, or direct out from a load box. When running “Direct Out” models, you will need to use an Impulse Response plugin to accurately model the amp speaker/cabinet.
Version 1.2 adds a 3-Band EQ and default IR with an updated look.
Version 1.2 Available formats (from installer):
-Windows 10/11 64-bit (VST3, AAX)
-Mac 10.11 and up (AU, VST3, AAX)
-Linux (VST3, AAX)