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.
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Updated
Oct 2, 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.
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.
In this repository, I classify the Iris dataset using Qutrits and IBM Quantum pulse technology.
QNN-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling.
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.
Simplified AI runtime integration for mobile app development
Kotlin bindings for Edgerunner
Hybrid Quantum Neural Network for classification of the MNIST Dataset using Classiq
基于react和antd开发的cron表达式生成组件 React and Antd based cron expression generation components
This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.
A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)
Low-Precision YOLO on PYNQ with FINN
Diabetic Retinotherapy using Quantum Computing
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
Official PyTorch repository for Quaternion Generative Adversarial Networks.
Testing and playing around with QNNs using the mnist dataset
Implementation of a Quantized Neural Network with low bitwidth of weights, activations and gradients.
Feed forward QNN
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