All repos — GH Trending Explorer

Playing FM transmitter on various Microcontrollers without using any external hardware

Ultra-tiny 2.1k streaming voice activity detector (2.1 KB INT8). 200 ms window for microcontrollers, edge devices, and DSPs. ships with ONNX, TorchScript, and standalone C header.

z3oya / rttsh

A host-side, scriptable command-line terminal for Segger-RTT; Also the AI-ready command line for embedded validation.

php-baremetal / php-esp32

The official PHP 8.3-8.5 engine running on an ESP32-P4/ESP32-S3. No emulation, no clone: reads a PHP file from microSD and runs it.

affirmitv / ghosthands

Give an agent real hands and eyes: undetectable, DOM-independent GUI automation. A $4 USB-HID microcontroller for hands, a vision grounding model for eyes, any LLM for a brain.

674274107-creator / dsPIC30F4013-Forge

DsPic30f4013 Embedded Firmware Projects and PIC Microcontroller Code 2026

chilly23 / RP2040-and-ESP32-AI

Run a 28.9M-parameter TinyLM on ESP32-S3 with an RP2040 OLED display node for fully local embedded AI inference.

GuitarML / GuitarPedalSTM32

Guitar pedal using a stm32h7 microcontroller programmed with CubeIDE (PCB and Firmware)

tlack / babytalk

Optimized ESP32-S3/P4 fully offline speech to text and text to speech system for Micropython and AtomVM, featuring a finetuned STT model for noisy environments, plus a data generation/field capture/model finetuning framework. Includes high performance 4/8bit int kernels for Xtensa/RiscV PIE vector units

fotonik-sk / stm32n6-speech-recognition

Offline speech-to-text on the STM32N6 microcontroller: free English speech recognition on the NPU, no cloud

Novotarskyi / ivan-bohun

A personal website served from six ESP32-S3 microcontrollers: elected load balancer, virtual-MAC failover, OTA with rollback. No cloud, no CDN, no Pi.

kariagepompadour / SOUND-TERRARIUM

Sound generates the terrain, tilt shapes the world, real-world time and weather shape the sky — a tiny living world for M5Stack Cardputer ADV.

lokutor-ai / ito

Natural-sounding streaming text-to-speech for the ESP32-S3: 4.4 M params, 4.9 MB, no cloud, no NPU