ChenWei1ong

ChenWei1ong's Stars

• MikhailMurashov/ecgGAN

  LSTM-GAN for generate plausible ECG signals

  Language:Jupyter Notebook9026

• 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.

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• rdisipio/qlstm

  Example of a Quantum LSTM

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• theerfan/Maqenta

  Generating music using quantum machine learning models. (QuGAN and QLSTM)

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• yingmao/Quantum-Generative-Adversarial-Network

  A Quantum State Fidelity based Generative Adversarial Network

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• tomasvicar/GAN_ECG_Generator

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• bdg9412/GAN_One-class-Anomaly-detection

  using GAN for ECG classification

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• abbasloo/dnnHealth

  ECG Data Augmentation with CNN GAN

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• OzerCanDevecioglu/Blind-ECG-Restoration-by-Operational-Cycle-GANs

  Language:Python213

• mandrakedrink/ECG-Synthesis-and-Classification

  1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.

  Language:Python10615

• Richar-Du/ECG-with-Deep-learning

  使用深度学习对人体心电数据进行多分类

  Language:Python17541

• lxysl/mit-bih_ecg_recognition

  MIT-BIH ECG recognition using 1d CNN with TensorFlow2 and PyTorch

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• jundeli/quantum-gan

  PyTorch and PennyLane implementation of Quantum GAN with Hybrid Generator.

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• PimVeefkind/Quantum-GAN

  Quantum generative adversarial network.

  Language:Python81

• pykao/QuantumMolGAN-PyTorch

  This repository contains the source code of Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry

  Language:Python2213

• contepablod/QCNNCancerBinaryClassifier

  Quantum Convolutional Neural Network to classify esophagus cancer

  Language:Jupyter Notebook209

• TingsongYu/PyTorch_Tutorial

  《Pytorch模型训练实用教程》中配套代码

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• zhenyx19/medmnist

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• Dhutchison00/medmnist

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• cantabile-kwok/MedMNIST

  2021 Spring Machine Learning Project

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• 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.

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• Menborong/Simple-QCNN

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• phy710/ICML2023-HT

  Language:Python43

• xJohnnyC/CS4701

  Quantum-Classical Convolutional Hybrid Neural Network

  Language:Jupyter Notebook22

• 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.

  Language:Jupyter Notebook112

• yunseo-kim/Qlassifier

  Qlassifier: Classical-Quantum Hybrid Convolutional Neural Network

  Language:Jupyter Notebook114

• christorange/QC-CNN

  Quantum-classical hybrid convolutional neural network for classical image classification

  Language:Python8720

• zhu-xlab/LULC_MSI_QCNN

  Land Cover Classification from Sentinel-2 Images with Quantum-Classical Convolutional Neural Networks (FQCNN and MQCNN)

  Language:Python21

• Fahlevi20/quantum-cnn

  Quantum convolutional neural network for classical data classification

  31

• lnhutnam/quanconv_nets

  Hybrid Convolutional quantum-classical Neural Networks with PyTorch and Qiskit

  Language:Python31