Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'
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Updated
Oct 18, 2022 - Jupyter Notebook
Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'
Code example for ModusToolbox that enables any PSoC 6 to run Machine Learning
ASLSpellingGame, an American Sign Language based gesture alphabet spelling game. This is the final project by Group 1 of the course PACSAR-201005, Introduction to Machine Learning and Neural Networks
Submitted for NXP-Hackathon-2021 on electromaker.io
Research on the capabilities of the STM32F429I-DISC1 board to perform Machine Learning tasks
Calido - Open Smart Thermostat and Smart Home Controller. Built on a Thingy:91 (nRF9160).
Pneumonia Detection on a Raspberry Pi using balenaCloud and Edge Impulse.
Prototype to predict power cuts with Arduino and Edge Impulse TinyML
ROS2 wrapper for Edge Impulse
American Sign Language trainer with Machine Learning via Edge Impulse and Texas Instruments AM62A
An IoT based Driver Alert System , making use of ML Models and Communication through LoRA
Detector de moedas de 1 real e 50 centavos utilizando a plataforma Edge Impulse.
Testing TinyML by recognizing if Arduino 33 Sense is Stationary or in an Up-Down Motion
Gesture recognition on @RAKWireless WisBlock using Accelerometer sensor and @edgeimpulse and @tensorflow Lite Micro.
Fever Detection Web Dashboard built using Azure.
Posture enforcer with Texas Instruments TDA4VM board and Edge Impulse Machine Learning platform
This repository contains code for TinyML deployed on RP2040 MCU
Micropython tool for Data Ingest into EdgeImpulse
This collection of apps scrapes car images from the Autotrader website in order to create a dataset of car brands for Machine Learning (ML).
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