MikeTrendsTrends right now

⬢github C++ · 156 ★ +116 since we first saw it · pushed 4 d ago · GPL-3.0

dashersw/coyopedal

ESP32-S3 A2-Full NAM pedalboard with direct SD-card NAM loading and a Gea-compiled native frontend

CoyoPedal is a standalone guitar amp and effects pedal running full-size Neural Amp Modeler captures in real time on an ESP32-S3. It loads .nam files from SD card, offers effects like gate, compressor, chorus, drive, delay and reverb, presets, and a tuner, with a touchscreen UI compiled from TSX to native C++ (also buildable to WebAssembly for browser use).

Why now: It was featured on Hacker News, notable for running a full 23-layer WaveNet NAM model at 48 kHz on a microcontroller without a JavaScript engine, plus a browser demo requiring no hardware.

Who it is for: Guitarists and embedded audio hackers who want a cheap DIY neural amp modeling pedal.

esp32guitarneural-amp-modelerdspembeddedc++

Open on GitHub →

Stars over our 45 snapshots: 40 to 156, since 11 h ago.

Where people talked about it

API: https://socialmediatrends-api.osmike.com/v1/repos/dashersw/coyopedal