wangxb96/Awesome-EdgeAI

Resources of our survey paper "Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies"

42
/ 100
Emerging

This resource provides a curated collection of materials for deploying and optimizing Artificial Intelligence models directly on devices like mobile phones, IoT sensors, or smart cameras. It helps practitioners, researchers, and students understand how to make AI systems run efficiently on edge devices by focusing on strategies for data handling, model design, and system configuration. The materials cover what goes into optimizing Edge AI and what comes out are more efficient, real-time AI applications.

100 stars. No commits in the last 6 months.

Use this if you are involved in designing, deploying, or managing AI systems that need to operate directly on devices rather than in the cloud.

Not ideal if you are looking for ready-to-use code or a specific AI model for a particular edge device.

Edge AI deployment IoT intelligence Real-time AI Embedded machine learning Device-side AI
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

100

Forks

13

Language

License

MIT

Last pushed

Sep 11, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/wangxb96/Awesome-EdgeAI"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.