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- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
- This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transformers library) into inference-ready formats that run efficiently on Qualcomm Cloud AI 100 accelerators.
qemu
PublicOfficial QEMU mirror. Please see http://wiki.qemu.org/Contribute/SubmitAPatch for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.ai-engine-direct-helper
Publicmusl
Publicgunyah-support-scripts
Publicgunyah-c-runtime
Publicgunyah-resource-manager
Publicgunyah-hypervisor
Public- AIMET GitHub pages documentation
qbox
Publicai-hub-apps
PublicThe Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.ai-hub-models
PublicThe Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.crash-plugins
Publicufs-tools
Publiccloud-ai-containers
Publiccloud-ai-sdk
PublicQualcomm Cloud AI SDK (Platform and Apps) enable high performance deep learning inference on Qualcomm Cloud AI platforms delivering high throughput and low latency across Computer Vision, Object Detection, Natural Language Processing and Generative AI models.toolchain_for_hexagon
Publiccloud-ai-sdk-pages
Public