Overview
edge-ml is an open-source, browser-based toolchain designed to bring machine learning directly onto microcontrollers. Developed at TECO (KIT), it simplifies the entire lifecycle of embedded machine learning from data collection to deployment by providing intuitive libraries, cloud integration, and model optimization for edge devices.
Our Goal
The main goal of edge-ml is to lower the barrier for embedded machine learning. It aims to enable rapid prototyping, efficient deployment, and widespread adoption of intelligent applications on microcontrollers by simplifying the complete development workflow.
