iis-eth-zurich / eeg-tcnet
☆80Updated 3 years ago
Alternatives and similar repositories for eeg-tcnet:
Users that are interested in eeg-tcnet are comparing it to the libraries listed below
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆127Updated last year
- code for LMDA☆79Updated last year
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆77Updated 4 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆43Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆66Updated last week
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆34Updated 2 weeks ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆70Updated 9 months ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆20Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆117Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆160Updated 5 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆91Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆106Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 5 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- EEG Motor Imagery with Deep Learning☆13Updated 3 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- ☆34Updated 11 months ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆68Updated 2 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 2 years ago
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago