WilliamRo / EEG-DenoiseLinks
☆19Updated 5 months ago
Alternatives and similar repositories for EEG-Denoise
Users that are interested in EEG-Denoise are comparing it to the libraries listed below
Sorting:
- SOTA methods for performing emotion classification using Transformers.☆21Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- ☆13Updated last year
- IEEE Transactions on Emerging Topics in Computational Intelligence☆67Updated 5 months ago
- Analysis of Transformer attention in EEG signal classification☆45Updated last year
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆30Updated 4 years ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆16Updated 3 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆26Updated 4 months ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated 2 years ago
- Emotion recognition base on EEG.☆17Updated 2 years ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆12Updated 6 years ago
- ☆12Updated 2 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- ☆28Updated 2 months ago
- ☆25Updated 9 months ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated 2 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆22Updated 2 years ago
- ☆32Updated 2 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆83Updated 2 months ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- ☆25Updated 2 weeks ago
- ☆31Updated 6 months ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆55Updated 4 years ago
- Deep learning model for EEG artifact removal☆77Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 4 months ago
- ☆16Updated 9 months ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- code for LMDA☆84Updated 2 years ago
- This repository contains information on emotion recognition from eeg signals using DEAP data set☆10Updated 4 years ago