tinyml

Paper, Course, and Article for Deep Learning Quantization

IoT based TinyML anomaly detection for pumps using acoustic signals

jeremy-ellis-tinyML-teacher-feedback-2022

This project focuses on building a low-power, real-time cancer classification system using TinyML and deploying it on an Arduino Nano microcontroller.

Keyword spotting on ESP32-S3-EYE

STM32CubeMX / X-CUBE-AI project running a quantized TTT ResNet on the Nucleo-N657X0-Q NPU.

Modern Hopfield Network (aka Dense Associative Memory) In Rust

Real-time motor anomaly detection using TinyML on ESP32-CAM with secured MQTT and Node-RED IoT dashboard

On-device YOLO11n object detection on an ESP32-S3 with an OV3660 camera: MJPEG streaming, a web UI and WiFi OTA, with no PC, no cloud and no SD card.

Modelo neuronal de lenguaje local de 2,3 M de parámetros para ESP32-WROOM-32, con firmware, REPL serial y chat web sin conexión.

Ejemplo de implementación de un clasificador de bosque aleatorio en un Arduino UNO usando scikit-learn y m2cgen.

A handful of basic NeuralNetworks examples ported for native OS use.

TinyML-style activity classification pipeline: Python training now, C++ inference next.

Cortex-M target support for TiGrIS-compiled models: board bring-up, CMSIS-NN build, and a minimal example.

Projects and summaries of the undergraduate course about Embedded Artificial Intelligence [DCA0306]

Ứng dụng TinyML GRU trong hệ thống giám sát, dự đoán chỉ số chất lượng không khí (AQI)

DroneWave: A Vehicular-Edge Federated, Quantized YOLOv12 System for Real-Time 3D Hand-Gesture–Based UAV Control

TinyML Signal Classifier: Lightweight CNN for embedded signal classification using TensorFlow Lite — optimized for IoT, telecom, and edge computing applications.

Real-time face detection system using ESP32-CAM and TinyML. Captures images via ESP32-CAM, runs TFLite face detection on a Flask backend, and provides a web dashboard for monitoring. Features instant Telegram alerts, training notebook, and is optimized for low-resource IoT AI applications.