qnn
There are 26 repositories under qnn topic.
caiyuanhao1998/MST
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.
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.
microsoft/ai-dev-gallery
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
wangzongming/qnn-react-cron
基于react和antd开发的cron表达式生成组件 React and Antd based cron expression generation components
EEESlab/mobilenet_v1_stm32_cmsis_nn
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
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.
neuralize-ai/edgerunner
Simplified AI runtime integration for mobile app development
caiyuanhao1998/BiSCI
A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)
mrusci/training-mixed-precision-quantized-networks
This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.
neuralize-ai/edgerunner-android
Kotlin bindings for Edgerunner
sefaburakokcu/finn-quantized-yolo
Low-Precision YOLO on PYNQ with FINN
EEESlab/CMSIS_NN-INTQ
INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target
eleGAN23/QGAN
Official PyTorch repository for Quaternion Generative Adversarial Networks.
liwuhen/CVDeploy-2D
The repository supports TensorRT, QNN platform inference, 2D obstacle detection yolo series (yolov5-yolo11), semantic segmentation and so on.
wangzongming/qnn-object-ast-handle
javascript literal object manipulation plug-in in code file | 代码文件中的js字面量对象操作插件
Jindi0/SQNN
Scalable Quantum Neural Network builds and trains a large-scale QNN in a modular fashion. SQNN is evaluated with a binary classification task on the MNIST dataset.
alejomonbar/Classification-Iris_using-Qutrits
In this repository, I classify the Iris dataset using Qutrits and IBM Quantum pulse technology.
devilkiller-ag/QNN-MNIST-Classification
Hybrid Quantum Neural Network for classification of the MNIST Dataset using Classiq
alejomonbar/QNN-for-Thermodynamic-correlation
QNN-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling.
ashharr/quantum-neural-networks
Feed forward QNN
MAvRK7/Black-Hole-mass-estimation
A project comparing traditional ML with the emerging Quantum Machine Learning based on their ability to predict masses of blackholes
sabrinaherbst/qnn_local_neighborhood
Contains the source code for the paper: Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks
seblum/mnist-QNN
Testing and playing around with QNNs using the mnist dataset
clnrp/quantum_machine_learning
Quantum Neural Network (QNN), Variational Quantum Eigensolver (VQE)
shreyansh0242/quantum-classifier
Diabetic Retinotherapy using Quantum Computing
lorepas/quantized-neural-network
Implementation of a Quantized Neural Network with low bitwidth of weights, activations and gradients.