Alternatives and similar repositories for CNN-LSTM-Network:

Users that are interested in CNN-LSTM-Network are comparing it to the libraries listed below

• jollyjonson / tqwt_tools
  Tunable-Q Wavelet Transform and Resonance-based Signal Decomposition Toolkit
  ☆29Updated last year
• JavisPeng / ecg_pytorch
  ecg classfication
  ☆212Updated 5 years ago
• Aiwiscal / CPSC_Scheme
  ☆94Updated 6 years ago
• Aiwiscal / MIT_Scheme
  An implementation of inter-patient arrhythmia diagnosis using Andrew Y. Ng-style ResNet
  ☆54Updated 6 years ago
• Daipuwei / DANN-MNIST-tf2
  这是论文Unsupervised Domain Adaptation by Backpropagation的复现tf2代码，并完成了MNIST与MNIST-M数据集之间的迁移训练
  ☆20Updated 3 years ago
• Aiwiscal / ECG_UNet
  A demo on ECG semantic segmentation using U-Net
  ☆90Updated 6 years ago
• StChenHaoGitHub / 1D-deeplearning-model-pytorch
  To do a deep learning project on ecg. I use pytorch to reproduce the traditional CNN models include LeNet AlexNet ZFNet VGG GoogLeNet Res…
  ☆91Updated last year
• lxysl / mit-bih_ecg_recognition
  MIT-BIH ECG recognition using 1d CNN with TensorFlow2 and PyTorch
  ☆145Updated 2 years ago
• RespectKnowledge / EEG-using-deep-Learning
  In this Basic Tutorial, I have used 1DCNN for EEG classification using random dataset, You can use your own dataset
  ☆19Updated 5 years ago
• syorami / DDC-transfer-learning
  A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
  ☆155Updated 6 years ago
• geekfeiw / Multi-Scale-1D-ResNet
  pytorch code of multi scale 1d resnet, we hope it will help your research
  ☆218Updated 4 years ago
• yshanyes / Pytorch-ECG-Classifier-Cinc2020-Official
  This is a PyTorch implementation of "Multi-label Classification of Electrocardiogram with Modified Residual Networks" paper.
  ☆18Updated 4 years ago
• RAMIRO-GM / Cardiac-frecuency-and-ECG-signal-denoising-by-EEMD
  ECG signal denoising using Ensemble Empirical Mode Decomposition and R peak detection (cardiac frequency) using Hilbert Transform.
  ☆70Updated 6 years ago
• amnesiiac / ISEnet
  a 1d attention CNN for signal classification written in tensorflow
  ☆11Updated 2 years ago
• herokoking / ECG_MIT_BIH_Arryhthmia_2D_CNN
  Use 2D-CNN to deal with mit_bih_arryhthmia dataset (python)
  ☆12Updated 5 years ago
• andtem2000 / PPG
  ☆29Updated 6 years ago
• StepyHan / dcgan-for-fault-diagnosis
  ☆9Updated 6 years ago
• hzzhangqf0558 / ECG_Nets
  model collection of deep learning applied into ECGs
  ☆23Updated 4 years ago
• Amadeuszhao / SE-ECGNet
  ☆31Updated 4 years ago
• courageface / wavelet-denoising
  Some algorithms of wavelet denoising based on PyWavelets.
  ☆46Updated 5 years ago
• ynulonger / DE_CNN
  This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …
  ☆57Updated 2 years ago
• cingtiye / Basic-time-domain-and-frequency-domain-features-of-signals
  ☆33Updated 4 years ago
• cay846545867 / MITAB_ECG_CNN_Classification
  Basic Algorithm For Beginners （Python version）
  ☆55Updated 5 years ago
• mah533 / Synthetic-ECG-Generation---GAN-Models-Comparison
  In this project we compared 5 models from GAN family in synthetic single heartbeat generation
  ☆20Updated 2 years ago
• kobiso / CBAM-keras
  CBAM implementation on Keras
  ☆364Updated 4 years ago
• ddrrrr / project_FD
  deep learning methods for bearing fault diagnosis
  ☆13Updated 6 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆124Updated 2 years ago
• meitetsu3 / 1DCNN
  Explanation of 1D CNN
  ☆57Updated 6 years ago
• irakaundal / arrhythmia-cnn
  2D CNN to classify different types of arrhythmia from ECG Signals
  ☆7Updated 5 years ago
• zmuzai / ApneaDetection_by_Breath
  the algorithm of Apnea detection by breath
  ☆11Updated 4 years ago