andrisgauracs / whistle-esp32
Whistle speech-to-text running fully on an ESP32-S3: hold a button, say a colour in one of 7 languages, the LED does it. No network.
andrisgauracs / whistle-esp32
harvard-edge / cs249r_book
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
cactus-compute / needle
Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.
rl-tools / rl-tools
The Fastest Deep Reinforcement Learning Library
lokutor-ai / oido
Oído: open-vocabulary speech recognition that fits in a $5 ESP32-S3. 3.7% LibriSpeech WER, no cloud, no NPU.
zou-shui / MugglesWand
基于 ESP32-S3 + TinyML 的魔杖。挥动魔杖即可触发魔法效果，支持手势识别、低功耗待机、个性化模型训练，软硬件全开源。
ayutaz / sanoTTS-jp
559 K パラメータの日本語 TTS を ESP32-S3 で実時間合成。漢字かな交じり文の形態素解析・アクセント推定まで端末内で走る（M5Stack CoreS3 実機で確認）。推論は依存ゼロの C99、ブラウザ demo あり。arXiv:2608.21378 sanoTTS の日本語 clean-room 再実装。⚠️ コードは MIT ですが、配布モデルの重みは MIT ではありません（LICENSE-MODEL.md。出力に用途制限が伝播します）
AydinAdnan / PulseVAD
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.
SweiryDev / MicroCNN-TangNano20k
SystemVerilog SoC implementing MicroCNN accelerator on the Tang Nano 20K for BloodMNIST image classification.
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.
Bellman281 / esp32-tinyLLM
Rust inference engine for a 28.9M-parameter PLE TinyLM on the ESP32-S3 — 9.4 tok/s, faster than the C implementation it was ported from
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
lokutor-ai / ito
Natural-sounding streaming text-to-speech for the ESP32-S3: 4.4 M params, 4.9 MB, no cloud, no NPU