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qualcomm/ai-hub-models — GitHub trending stats & insights | Trendshift
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qualcomm/ai-hub-models
#
AI infrastructure
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.
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Python
1.1k
197
22 contributors
BSD 3-Clause "New" or "Revised" License
website
Social mentions
Recent discussions about this repository across the web
Qualcomm AI Hub Models just gives edge-AI builders a Python workflow for Qualcomm-device export, profiling, and sample inference. The annoying part is not only picking a model. It is export formats,…
@DanKornas · x.com
Most people think AI runs in the cloud. The next billion AI users will run models on their phones, laptops, cars, cameras, drones, and edge devices. That's where the real opportunity is. Qualcomm AI…
@RoyAmal · x.com
Most people think AI runs in the cloud. The next billion AI users will run models on their phones, laptops, cars, cameras, and edge devices. That's why this repo matters. "Qualcomm AI Hub Models" is…
@RoyAmal · x.com
🧵 1/2 Stop wrestling with manual model tweaks every time you want to deploy to Snapdragon chips.
@MichaelHutu · x.com
Optimized AI models for Qualcomm edge devices
@tom_doerr · x.com
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