A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture videos (where applicable).

This repository holds the Google Colabs for the EdX TinyML Specialization

This repository holds the Arduino Library for the EdX TinyML Specialization

Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.

It generate C code for microcontrollers from Python with Scikit-learn.

[EMSOFT 2022] Adaptive Edge Offloading for Image Classification Under Rate Limit

Resources for our Workshops on Edge AI

This is the page for our semester project for CS581 - Embedded Machine Learning. CAN DO - Controller Area Network (CAN) - Discrepancy/Divergence/Deviation Observer(TBD)

[SEC 2024] Optimizing Edge Offloading Decisions for Object Detection

A repository for research contests spanning topics from hardware security and embedded/VLSI machine learning to electronic design automation, bio design automation, and formal verification.

Toothbrush tracker/timer using accelerometer and machine learning

This project focuses on developing a method to measure human height using ultrasound sensors under challenging conditions caused by dense scalp hair.

Combining AI and RTOS for resource constrained embedded systems

On-Device Emotion Recognition from Spoken Language in Embedded Devices

Yuvaraj Govindarajulu - Personal profile and blog

Engineered a 5,000 sample wind noise dataset and employed a CNN to estimate wind speed from their spectrograms. Gathered data using MEMS microphones and a cup anemometer as ground truth using ESP32. Recorded a mean-absolute error (MAE) of 1.12 m/s for wind speed

Machine Learning dual model running on bare-metal STM32 microcontroller, controlling LED backlight using time series from a retro-reflective sensor.