yining1023/Machine-Learning-for-Physical-Computing
Repository for the "Machine Learning for Physical Computing" class at ITP, NYU
This course helps creative technologists and physical computing enthusiasts integrate machine learning into their interactive projects. It teaches how to use sensor data with microcontrollers like Arduino to enable functionalities such as gesture or speech detection. The typical user is someone with experience in physical computing and programming who wants to add intelligent, responsive behavior to their hardware creations.
No commits in the last 6 months.
Use this if you want to build interactive devices that respond intelligently to sensor data, like recognizing gestures or sounds.
Not ideal if you are looking for a deep dive into machine learning theory or are unfamiliar with basic physical computing and programming concepts.
Stars
51
Forks
20
Language
JavaScript
License
—
Category
Last pushed
Apr 21, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/yining1023/Machine-Learning-for-Physical-Computing"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
alibaba/pipcook
Machine learning platform for Web developers
imjoy-team/ImJoy
ImJoy: Deep Learning Made Easy!
mljs/ml
Machine learning tools in JavaScript
deepforge-dev/deepforge
A modern development environment for deep learning
machinelearnjs/machinelearnjs
Machine Learning library for the web and Node.