Alternatives and similar repositories for LSTM-1DCNN-GRU-for-Depression:

Users that are interested in LSTM-1DCNN-GRU-for-Depression are comparing it to the libraries listed below

• eason123789 / Transformer-for-Single-Channel-EEG
  This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of dr…
  ☆11Updated last year
• MaximoDouglas / systemic-blood-pressure-regression
  Regression with SVR, CNN and CNN-LSTM
  ☆13Updated 4 years ago
• weiming1122 / 1D-ResNet-SE-LSTM
  Codes for the paper 'Automatic sleep staging by a hybrid model based on deep 1D-ResNet-SE and LSTM with single-channel raw EEG signals' h…
  ☆18Updated last year
• jamalsyed00 / PSO-feature-selection
  Emotion Recognition using PSO and SVM
  ☆15Updated 3 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
  ☆18Updated 5 years ago
• kaiwenup / fire_detection_1dcnn
  基于1D CNN的火灾检测模型
  ☆14Updated 4 years ago
• Qianli-Wu / EEG_classification
  The final project for ECE C147/C247, which evaluates the performance of CNN + Transformer and CNN + GRU + SimpleRNN models on an EEG data…
  ☆12Updated last year
• Jaxcute / 1DCNN
  一维卷积神经网络
  ☆38Updated 5 years ago
• Bmajor98 / emd
  Python implementations of empirical mode decomposition as well as EEMD and CEEMD variants.
  ☆24Updated 4 years ago
• fortuneSuyue / CNN-BiGRU-AM
  This repository includes code for the paper: Lithology Identification Based on One-dimensional Convolutional Neural Network and Recurrent…
  ☆12Updated 2 years ago
• Hzam / EEG-Datamining
  Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;
  ☆10Updated 2 years ago
• cingtiye / Basic-time-domain-and-frequency-domain-features-of-signals
  ☆33Updated 4 years ago
• Emeraki / ActivityRecognition
  1DCNN + LSTM + Self-Attention HAR
  ☆15Updated 3 years ago
• HeyyyyyyG / Multi-souce-Separation-and-Alignment-Network-for-EEG-Emotion-Classification
  Transfer learning for multi source EEG-emotion-classification
  ☆13Updated 4 years ago
• theyou21 / BigProject
  EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models
  ☆38Updated 5 years ago
• iDestro / Gramian-Angular-Field-in-Pytorch
  A implementation of Gramian Angular Field (GAF) in Pytorch.
  ☆13Updated last year
• LiAngelo / signal_processing
  Different methods(STFT, CWT) transform EEG signal into image visualization
  ☆12Updated 4 years ago
• secondlevel / EEG-classification
  It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You …
  ☆14Updated 2 years ago
• vrcarva / ewtpy
  Empirical wavelet transform (EWT) in Python
  ☆87Updated 4 years ago
• ziyujia / Signal-feature-extraction_DE-and-PSD
  Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.
  ☆74Updated 4 years ago
• renqi1 / Time_Series_Classification
  ☆50Updated last year
• shenmusmart / VMD_python
  Variational Mode Decomposition for Python
  ☆58Updated 4 years ago
• meitetsu3 / 1DCNN
  Explanation of 1D CNN
  ☆57Updated 6 years ago
• Song-zhenzhen / base_TCN_emotion_recognition
  EEG emotion recognition based on Temporal convolutional network
  ☆24Updated 5 years ago
• abhijithrb / SeizurePrediction
  A CNN + LSTM architecture to predict seizure from EEG data
  ☆41Updated last year
• paudelprabesh / Hyperparameter-Tuning-In-LSTM-Network
  Hyperparameter Tuning in LSTM using Genetic Algorithm, Bayesian Optimization, Random Search, Grid Search.
  ☆30Updated 3 years ago
• yangsh827 / Seizure_FE
  Feature extraction for EEG signals
  ☆28Updated 4 years ago
• dyq0811 / EEG-Transformer-seq2seq
  Modified transformer network utilizing the attention mechanism for time series or any other numerical data. 6.100 project at MIT Media La…
  ☆59Updated 4 years ago
• Huai-qIu-tec / undergraduate_design_motorimagery_classification
  本科毕业设计，基于Transformer的运动想象脑电信号分类，采用CNN+Transformer框架，CNN提取局部时间空间特征，Transformer提取全局依赖
  ☆26Updated last year
• soloyuyang / CEEMDAN
  for de-noising
  ☆30Updated 7 years ago