snailpt / ResBiLSTMLinks
Residual and bidirectional LSTM for epileptic seizure detection
☆97Updated 7 months ago
Alternatives and similar repositories for ResBiLSTM
Users that are interested in ResBiLSTM are comparing it to the libraries listed below
Sorting:
- Multi-Scale Convolutional Transformer Network for Motor Imagery Brain-Computer Interface☆120Updated 2 months ago
- ☆17Updated last year
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆344Updated 3 weeks ago
- Multi-Source Deep Domain Adaptation Ensemble Framework for Cross-Dataset Motor Imagery EEG Transfer Learning☆25Updated last year
- Pipeline of processing and modelisation for the detection of seizure on EEG data (dataset TUH/TUSZ)☆24Updated 3 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- This code repository collects the source code of the representative deep learning-based MI-EEG models and runs a leaderboard to fairly co…☆15Updated 9 months ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆12Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆316Updated 2 months ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆26Updated last year
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆28Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆84Updated last year
- Confronto fra cinque diversi modelli di machine learning per il riconoscimento delle emozioni usando rivelazioni EEG e movimento oculare …☆13Updated 2 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆122Updated 5 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Updated 5 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆39Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆44Updated 6 years ago
- ☆32Updated 4 months ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆78Updated 2 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆21Updated 4 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆147Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated 2 years ago
- This is just a simple code of how to process EEG data when I learn motor imagination, just for reference.At the same time, it also contai…☆21Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆100Updated 2 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 5 years ago
- code for LMDA☆87Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆83Updated 4 years ago
- Dual-Branch Convolution Network with Efficient Channel Attention for EEG-Based Motor Imagery Classification☆18Updated last year