midea-ai/Aidget

Ai edge toolbox,专门面向边端设备尤其是嵌入式RTOS平台,AI模型部署工具链,包括模型推理引擎和模型压缩工具

46
/ 100
Emerging

This toolbox helps AI engineers deploy deep learning models onto small, resource-constrained devices like smart appliances and IoT gadgets. It takes trained ONNX or TFLite models, optimizes their size and performance, and outputs highly efficient, ready-to-run code for various embedded systems. AI engineers working on smart home products or other edge AI applications would use this to ensure their AI runs smoothly on limited hardware.

174 stars. No commits in the last 6 months.

Use this if you need to deploy AI models on edge devices with limited memory and processing power, especially in consumer electronics or IoT.

Not ideal if your target deployment environment is a powerful cloud server or a desktop computer with ample resources.

Embedded AI Smart Appliances IoT Devices Edge Computing Model Deployment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

How are scores calculated?

Stars

174

Forks

33

Language

Python

License

Apache-2.0

Last pushed

Dec 20, 2023

Commits (30d)

0

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