swagshaw/Awesome-Cloud-Edge-AI

A curated list of research in System for Edge Intelligence and Computing(Edge MLSys), including Frameworks, Tools, Repository, etc. Paper notes are also provided.

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This resource helps engineers and researchers working with Artificial Intelligence (AI) to understand and implement AI models on edge devices, like sensors, cameras, or local servers, rather than relying solely on distant cloud data centers. It compiles a list of research papers, projects, tools, and tutorials on how to deploy and manage AI systems that can process data closer to its source. The output is a comprehensive overview of the current landscape of 'Edge AI' for practitioners involved in IoT and distributed computing.

No commits in the last 6 months.

Use this if you are a system architect, AI engineer, or researcher looking for a comprehensive overview of existing research, tools, and frameworks for deploying AI models on edge devices.

Not ideal if you are looking for a ready-to-use software library or a step-by-step coding tutorial for a specific AI application.

edge-computing distributed-AI IoT-systems AI-deployment machine-learning-operations
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 6 / 25

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MIT

Last pushed

Jan 04, 2022

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