Qualcomm Innovation Center, Inc.

Pinned Repositories

ai-hub-apps
The 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.
Language:Java329 11 9781
ai-hub-models
The 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.
Language:Python830 22 234146
aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Language:Python2.5k 45 1.5k424
aimet-model-zoo
Language:Python338 17 2359
cloud-ai-sdk
Qualcomm 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.
Language:Jupyter Notebook67 8 914
efficient-transformers
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.
Language:Python82 8 1059
gunyah-hypervisor
Gunyah is a Type-1 hypervisor designed for strong security, performance and modularity.
Language:C406 23 3272
qidk
Language:C166 8 6335
sample-apps-for-robotics-platforms
Language:C134 8 4046
sense
Enhance your application with the ability to see and interact with humans using any RGB camera.
Language:Python738 27 33107

Qualcomm Innovation Center, Inc.'s Repositories

quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Language:Python2.5k 45 1.5k424
quic/ai-hub-models
The 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.
Language:Python830 22 234146
quic/gunyah-hypervisor
Gunyah is a Type-1 hypervisor designed for strong security, performance and modularity.
Language:C406 23 3272
quic/ai-hub-apps
The 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.
Language:Java329 11 9781
quic/eud
Language:C++95 2 17
quic/ai-engine-direct-helper
QAI AppBuilder is designed to help developers easily execute models on WoS and Linux platforms. It encapsulates the Qualcomm® AI Runtime SDK APIs into a set of simplified interfaces for running models on the NPU/HTP.
Language:C++83 4 1120
quic/efficient-transformers
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.
Language:Python82 8 1059
quic/cloud-ai-sdk
Qualcomm 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.
Language:Jupyter Notebook67 8 914
quic/qbox
Qbox
Language:C++67 8 2418
quic/crash-plugins
The plugins of crash-utility
Language:C++35 1 315
quic/toolchain_for_hexagon
Language:Shell32 6 413
quic/qemu
Official 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.
Language:C24 12 011
quic/gunyah-resource-manager
A Root VM supporting virtualization with the Gunyah Hypervisor.
Language:C23 8 17
quic/gunyah-c-runtime
A small C runtime for bare-metal VMs on the Gunyah Hypervisor.
Language:C13 7 14
quic/gunyah-support-scripts
Language:Shell12 7 811
quic/comment-filter
A Python library and command-line utility that filters comments from a source file
Language:Python10 5 18
quic/quic-teec
Qualcomm Clients for the Linux TEE subsystem
Language:C10 2 34
quic/aimet-pages
AIMET GitHub pages documentation
Language:HTML9 4 04
quic/ufs-tools
Language:C9 2 05
quic/musl
musl libc fork for Hexagon support
Language:C6 6 02
quic/sample-apps-for-qualcomm-linux
Language:Python6 2 09
quic/cloud-ai-containers
5 0 00
quic/v4l-video-test-app
Language:C++5 3 112
quic/qmi-framework
Language:C4 1 01
quic/sbom-check
Python library and CLI application that check a provided SPDX SBOM for adherence to the official specification SPDX 2.3 specification and for the presence of a set of minimum-required values.
Language:Python3 2 02
quic/aic-operator
Language:Go2 1 02
quic/SvUTest
Language:SystemVerilog1
quic/wos-ai-demos
Language:Jupyter Notebook0 1 01
quic/OpenBLAS
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
Language:C0 0
quic/riscv-elf-psabi-quic-extensions
Qualcomm's non-Standard Extensions to RISC-V ELF psABI
Language:Makefile1 0