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this repository accompanies the book "Grokking Deep Learning"
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
We are building an open database of COVID-19 cases with chest X-ray or CT images.
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
Tutorial on fine tuning DeepLabv3 segmentation network for your own segmentation task in PyTorch.
IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition
A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.
Fully automated code for Covid-19 detection from CT scans from paper: https://doi.org/10.1016/j.bspc.2021.102588
A repository for finishing my undergraduate thesis titled: Quantum Image Classifier Design with Data Re-uploading Quantum Convolution and Data Re-uploading Classifier Scheme.
Quantum Convolutional Neural Network to classify esophagus cancer
CoroNet is a Covid-19 detection and diagnosis tool. It scans chest x-rays and clasifies it into normal, pneumonia or covid classes
A repository for the 10th Grade Research Project Constructing a Quantum Optical Convolutional Neural Network (QOCNN) and providing scripts that evaluate future feasibility.
The official code repository for "Variational Quanvolutional Neural Networks with enhanced image encoding", https://arxiv.org/abs/2106.07327
An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine
Classical and quantum hybrid circuit for classifying MNIST
Klasifikasi COVID-19 menggunakan Filter Gabor dan CNN dengan Hyperparameter Tuning | Dataset SarsCoV2 CT-Scan | 2021
India is on track to become the world’s diabetes capital thus demanding accurate diagnosis of Diabetic retinopathy from optical coherence tomography (OCT) retinal images. Accurate and faster diagno…
Covid-19 automated detection