sari-saba-sadiya / EEG-Channel-Interpolation-Using-Deep-Encoder-Decoder-NetworksLinks
Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"
☆26Updated 3 years ago
Alternatives and similar repositories for EEG-Channel-Interpolation-Using-Deep-Encoder-Decoder-Networks
Users that are interested in EEG-Channel-Interpolation-Using-Deep-Encoder-Decoder-Networks are comparing it to the libraries listed below
Sorting:
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 3 months ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 3 weeks ago
- implementation of FBCSP algorithm☆26Updated 6 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆133Updated last year
- code for NeurIPS_competition☆28Updated 3 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆65Updated 5 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated last month
- ☆44Updated 6 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆44Updated 8 months ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆66Updated 3 months ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆17Updated last year
- A Lightweight and High Performance Neural network for MI-EEG decoding☆28Updated 4 months ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated 2 months ago
- ☆83Updated 3 years ago
- ☆9Updated 3 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain…☆69Updated 2 years ago
- code for LMDA☆83Updated 2 years 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
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆60Updated last year
- 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
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 3 months ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆151Updated last year
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 4 years ago
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.☆12Updated 2 years ago