crespum/edge-ai

A curated list of resources for embedded AI

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/ 100
Emerging

This is a curated list of resources for individuals who want to deploy Artificial Intelligence models directly onto small, specialized devices rather than powerful servers or the cloud. It provides a comprehensive overview of hardware (like AI-enabled camera modules or low-power chips) and software tools for running AI tasks, particularly machine learning inference, right at the 'edge' of a network. The target audience includes engineers, product designers, or hobbyists building smart devices, IoT solutions, or embedded systems with AI capabilities.

505 stars.

Use this if you are exploring or building real-world devices that need to perform AI tasks on-device, for applications like local computer vision, voice recognition, or sensor data analysis, especially where power efficiency, latency, or data privacy are critical.

Not ideal if you are looking for resources on cloud-based AI, general-purpose machine learning libraries, or high-performance computing for training large AI models.

embedded-systems IoT device-intelligence edge-computing tinyML
No License No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 18 / 25

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505

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Last pushed

Jan 13, 2026

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