Amir-Hofo / EEGNetLinks
This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Computer Interfaces". 
☆41Updated 6 months ago
Alternatives and similar repositories for EEGNet
Users that are interested in EEGNet are comparing it to the libraries listed below
Sorting:
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆45Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆78Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆284Updated last month
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆37Updated 2 years ago
- Public EEG Dataset☆65Updated 2 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆231Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆81Updated 3 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆90Updated 7 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆140Updated last year
- EEG-based emotion classification using DEAP dataset☆152Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆318Updated 2 years ago
- code for LMDA☆84Updated 2 years ago
- EEG Emotion classification using the DEAP pre-processed data☆160Updated 6 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆87Updated 6 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆81Updated 4 years ago
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆145Updated 3 months ago
- This code repository collects the source code of the representative deep learning-based MI-EEG models and runs a leaderboard to fairly co…☆13Updated 6 months ago
- Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of w…☆129Updated 4 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆89Updated 3 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆96Updated 5 months ago
- ☆33Updated 4 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆49Updated 4 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆95Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆42Updated 6 years ago
- ☆37Updated last year
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆19Updated 4 years ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆26Updated last year
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆182Updated 6 years ago