DeepBCI / Deep-BCILinks
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
☆395Updated last year
Alternatives and similar repositories for Deep-BCI
Users that are interested in Deep-BCI are comparing it to the libraries listed below
Sorting:
- An open software package dedicated for the development of Brain-Computer Interfaces with various advanced pattern recognition algorithms☆208Updated 2 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆320Updated 5 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆276Updated 2 years ago
- Mother of All BCI Benchmarks☆794Updated this week
- Supplementary material for systematic literature review on deep learning and EEG.☆156Updated 5 years ago
- Outdated, see new https://github.com/braindecode/braindecode☆330Updated 5 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆224Updated last year
- ☆130Updated 2 years ago
- Deep learning software to decode EEG, ECG or MEG signals☆959Updated last month
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆251Updated 3 years ago
- A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.☆739Updated 4 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆265Updated 3 months ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆572Updated 11 months ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆249Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- MATLAB toolbox for Brain-Computer Interfacing (BCI)☆160Updated 5 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆163Updated 5 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆63Updated 5 years ago
- Classification and Explanation Model of Brain Signal based on Deep Learning Model☆72Updated 6 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 …☆137Updated 6 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆302Updated 2 years ago
- EEG Experiments in Python☆502Updated last month
- Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed b…☆131Updated last year
- ☆82Updated 3 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆128Updated 5 years ago
- Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset☆66Updated 2 years ago
- 🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python☆200Updated last week
- Generate statistical features from Electroencephalographic data☆92Updated 2 years ago
- EEG Emotion classification using the DEAP pre-processed data☆146Updated 6 years ago
- This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.☆215Updated 7 years ago