cfcooney / BiModNeuroCNNLinks
Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/
☆12Updated 3 years ago
Alternatives and similar repositories for BiModNeuroCNN
Users that are interested in BiModNeuroCNN are comparing it to the libraries listed below
Sorting:
- code for LMDA☆80Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆67Updated last month
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆20Updated last year
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆22Updated 11 months ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆19Updated 4 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 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
- ☆11Updated last year
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆71Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆130Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆108Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆33Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆92Updated 2 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- ☆20Updated last year
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- EEG Motor Imagery with Deep Learning☆13Updated 3 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆22Updated 4 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆44Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆73Updated 10 months ago
- ☆82Updated 3 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆107Updated 2 years ago
- ☆9Updated 2 years ago
- Python A novel multimodal approach for hybridbrain-computer interface☆17Updated 5 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 3 weeks ago
- ☆36Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆35Updated last month