qualcomm/ai-hub-models
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
This project provides pre-optimized machine learning models for computer vision tasks that run efficiently on Qualcomm-powered devices like smartphones, automotive platforms, and IoT hardware. It takes an existing model and optimizes it for specific Qualcomm chipsets and runtimes, producing a high-performance, ready-to-deploy model. This is for AI application developers and embedded systems engineers who want to integrate AI capabilities directly into edge devices.
940 stars. Actively maintained with 116 commits in the last 30 days.
Use this if you are building an AI application for a Qualcomm-powered device and need to deploy pre-trained models with optimized performance for speed and memory.
Not ideal if you are developing AI models for general-purpose computing platforms or if your target hardware does not feature Qualcomm chipsets.
Stars
940
Forks
162
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 12, 2026
Commits (30d)
116
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