qnn
Here are 20 public repositories matching this topic...
QNN-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling.
-
Updated
Aug 13, 2021 - Jupyter Notebook
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
-
Updated
Apr 13, 2023 - TypeScript
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.
-
Updated
May 8, 2024
Diabetic Retinotherapy using Quantum Computing
-
Updated
Aug 20, 2023 - JavaScript
Implementation of a Quantized Neural Network with low bitwidth of weights, activations and gradients.
-
Updated
Jul 29, 2021 - Jupyter Notebook
Feed forward QNN
-
Updated
Mar 6, 2021 - Jupyter Notebook
Testing and playing around with QNNs using the mnist dataset
-
Updated
Oct 19, 2021 - Python
Hybrid Quantum Neural Network for classification of the MNIST Dataset using Classiq
-
Updated
Jan 23, 2024 - Jupyter Notebook
In this repository, I classify the Iris dataset using Qutrits and IBM Quantum pulse technology.
-
Updated
Aug 10, 2021 - Jupyter Notebook
Low-Precision YOLO on PYNQ with FINN
-
Updated
Nov 26, 2023 - Jupyter Notebook
Official PyTorch repository for Quaternion Generative Adversarial Networks.
-
Updated
Mar 30, 2022 - Python
INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target
-
Updated
Jan 10, 2020 - C
A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)
-
Updated
Nov 28, 2023 - Python
This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.
-
Updated
May 9, 2024 - Python
基于react和antd开发的cron表达式生成组件 React and Antd based cron expression generation components
-
Updated
May 16, 2024 - JavaScript
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
-
Updated
Mar 6, 2020 - C
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.
-
Updated
May 21, 2024 - Python
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.
-
Updated
Apr 11, 2024 - Python
Improve this page
Add a description, image, and links to the qnn topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the qnn topic, visit your repo's landing page and select "manage topics."