ChenWei1ong's Stars
MikhailMurashov/ecgGAN
LSTM-GAN for generate plausible ECG signals
DikshantDulal/SoftServe_QLSTM
We implement a quantum-classical hybrid QLSTM model by incorporating quantum variational layers into the classical LSTM in order to improve the efficiency and trainability of LSTM for better stock price prediction.
rdisipio/qlstm
Example of a Quantum LSTM
theerfan/Maqenta
Generating music using quantum machine learning models. (QuGAN and QLSTM)
yingmao/Quantum-Generative-Adversarial-Network
A Quantum State Fidelity based Generative Adversarial Network
tomasvicar/GAN_ECG_Generator
bdg9412/GAN_One-class-Anomaly-detection
using GAN for ECG classification
abbasloo/dnnHealth
ECG Data Augmentation with CNN GAN
OzerCanDevecioglu/Blind-ECG-Restoration-by-Operational-Cycle-GANs
mandrakedrink/ECG-Synthesis-and-Classification
1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.
Richar-Du/ECG-with-Deep-learning
使用深度学习对人体心电数据进行多分类
lxysl/mit-bih_ecg_recognition
MIT-BIH ECG recognition using 1d CNN with TensorFlow2 and PyTorch
jundeli/quantum-gan
PyTorch and PennyLane implementation of Quantum GAN with Hybrid Generator.
PimVeefkind/Quantum-GAN
Quantum generative adversarial network.
pykao/QuantumMolGAN-PyTorch
This repository contains the source code of Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry
contepablod/QCNNCancerBinaryClassifier
Quantum Convolutional Neural Network to classify esophagus cancer
TingsongYu/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
zhenyx19/medmnist
Dhutchison00/medmnist
cantabile-kwok/MedMNIST
2021 Spring Machine Learning Project
Different-Tom/MedMNIST-NPY-to-JPG-PNG
Researchers at Shanghai Jiaotong University created a new open medical image data set MedMNIST and designed the "MedMNIST Classification Decathlon" to promote the research of AutoML algorithms in the field of medical image analysis. But their data set is in Npy file format. I help you to extract npy into png, jpg and other file formats, which can facilitate the experimentation of researchers.
Menborong/Simple-QCNN
phy710/ICML2023-HT
xJohnnyC/CS4701
Quantum-Classical Convolutional Hybrid Neural Network
PTaylor18/Machine-Learning-Summer-Code
Repository containing code for my learning of classical and quantum machine learning. Includes a variational quantum classifier, fully-connected and quantum convolutional neural networks as well as benchmarks.
yunseo-kim/Qlassifier
Qlassifier: Classical-Quantum Hybrid Convolutional Neural Network
christorange/QC-CNN
Quantum-classical hybrid convolutional neural network for classical image classification
zhu-xlab/LULC_MSI_QCNN
Land Cover Classification from Sentinel-2 Images with Quantum-Classical Convolutional Neural Networks (FQCNN and MQCNN)
Fahlevi20/quantum-cnn
Quantum convolutional neural network for classical data classification
lnhutnam/quanconv_nets
Hybrid Convolutional quantum-classical Neural Networks with PyTorch and Qiskit