Arm-Examples/ML-examples
Arm Machine Learning tutorials and examples
This collection provides practical examples and tutorials for optimizing machine learning models to run efficiently on Arm hardware. It takes trained machine learning models and shows how to prepare them for deployment on Arm Ethos NPUs, Cortex-based platforms, or Corstone reference platforms. The resource is designed for embedded systems engineers, AI/ML practitioners working with edge devices, or hardware developers integrating machine learning into Arm-based products.
484 stars.
Use this if you are developing machine learning applications for Arm processors and need guidance on optimizing models for performance and efficiency on Arm Ethos NPUs, Cortex-M, or Corstone platforms.
Not ideal if you are looking for high-level machine learning frameworks for cloud-based training or general-purpose data science tasks on non-Arm hardware.
Stars
484
Forks
212
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 18, 2026
Commits (30d)
0
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