chaklam-silpasuwanchai / Python-for-EEGLinks
A basic demonstration how to use Python, MNE, and PyTorch to analyze EEG signal.
☆24Updated 2 years ago
Alternatives and similar repositories for Python-for-EEG
Users that are interested in Python-for-EEG are comparing it to the libraries listed below
Sorting:
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆31Updated 3 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆152Updated last year
- Hands-on tutorial on deep learning for EEG classification.☆82Updated last year
- EEG-based emotion classification using DEAP dataset☆150Updated 2 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆64Updated 2 years ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Updated 2 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆62Updated 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
- 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
- ☆33Updated 4 years ago
- The codes that I implemented during my B.Sc. project.☆21Updated 3 years ago
- Generate statistical features from Electroencephalographic data☆93Updated 3 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆76Updated last year
- EEG motor imagery classification using convolutional neural networks☆37Updated 2 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆46Updated 2 years ago
- ☆44Updated 6 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆63Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- Material for Pybrain 2020 MNE-Python workshop☆140Updated 4 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆46Updated 10 months ago
- ☆37Updated 5 years 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…☆127Updated 4 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆93Updated 3 months ago
- PyTorch EEG emotion analysis using DEAP dataset☆90Updated 7 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆45Updated last year
- EEG-Based Emotion Recognition☆59Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆40Updated 2 years ago