qnn

An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.

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.

A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.

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.

基于react和antd开发的cron表达式生成组件 React and Antd based cron expression generation components

FaceFusion for Android. Offline face swap running on the phone's NPU, GPU or CPU. Qualcomm Hexagon (v68 to v81), Vulkan fallback, no server and no upload.

Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support

Simplified AI runtime integration for mobile app development

On-device ComfyUI style node graph for Stable Diffusion on Android. Local SD1.5, SDXL, Flux, Z-image, Anima, Qwen Image 2.1, Krea 2, text to image, img2img, inpainting, outpainting, controlnet, LoRA, IPAdapter and WAN 2.2 5B video generation on the Qualcomm Hexagon NPU. Fully offline, no server, no account.

A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)

This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.

Low-Precision YOLO on PYNQ with FINN

Kotlin bindings for Edgerunner

Port Apple's SHARP (single-image 3D Gaussian Splatting) to on-device Android via Qualcomm QNN HTP — fully offline inference on Snapdragon

Official PyTorch repository for Quaternion Generative Adversarial Networks.

The repository supports TensorRT, QNN platform inference, 2D obstacle detection yolo series (yolov5, yolov8, yolo11, yolox), semantic segmentation and so on.

INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target

Running AMD FSR4 W8A8 on a phone's Hexagon NPU by intercepting DLSS calls: a Retroid Pocket 6 energy study (whitepaper inside)

HK NPU STUDIO — Local AI for Snapdragon® PCs. NPU-accelerated image generation for Windows 11 ARM64. Featuring Phoenix Boost.