YundongWang / BCI_ChallengeLinks
☆20Updated 4 years ago
Alternatives and similar repositories for BCI_Challenge
Users that are interested in BCI_Challenge are comparing it to the libraries listed below
Sorting:
- Hands-on tutorial on deep learning for EEG classification.☆78Updated last year
- A collection of workshop materials.☆33Updated 6 years ago
- Deep Learning EEG Playground☆74Updated 9 months ago
- Material for Pybrain 2020 MNE-Python workshop☆135Updated 4 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆275Updated 2 years ago
- This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.☆33Updated this week
- ☆40Updated 4 years ago
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆50Updated 4 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆148Updated last year
- Moved to https://github.com/TNTLFreiburg/braindecode!☆63Updated 5 years ago
- Some tutorials for students of neuroscience☆115Updated 2 months ago
- ☆109Updated last year
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆223Updated last year
- Supplementary material for systematic literature review on deep learning and EEG.☆155Updated 5 years ago
- ☆129Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- Automated seizure detection algorithm for neonatal EEG☆40Updated 6 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 7 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆198Updated last year
- Youtube codes☆26Updated last year
- Generate statistical features from Electroencephalographic data☆92Updated 2 years ago
- EEG Features to be extract from raw data.☆27Updated 8 years ago
- Analyze and manipulate EEG data using PyEEGLab.☆61Updated 4 years ago
- Alzheimer’s Disease (AD) is the most common neurodegenerative disease. It is typically late onset and can develop substantially before di…☆31Updated 5 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆39Updated 9 months ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆317Updated 5 years ago
- Automatic EEG IC classification plugin for EEGLAB☆61Updated 4 months ago
- This project demonstrates various signal processing techniques, such as signal generation, window functions, filtering, downsampling, zer…☆25Updated last year
- Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models☆13Updated last year