Stars
CR/Nova ; Demo about Python package 6-axis V3 based on TCP/IP protocol ; Version V3.5.5.0 or above .
LabStreamingLayer super repository comprising submodules for LSL and associated apps.
A Library of Datasets and Algorithms for Brain-Computer Interface
Code of "Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization"
Classification of Motor Imagery from EEG signals- produced for the G.tec spring school hackathon.
Intrinsic Time-Scale Decomposition
Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive models on EEG: a systematic comparison", 2022).
A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm a…
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
Attention temporal convolutional network for EEG-based motor imagery classification
Motor Imagery-based Brain-Computer Interfaces (MI-BCI) are a promise to revolutionize the way humans interact with machinery or software, performing actions by just thinking about them. Patients su…
Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"
WeBrain: Building a docker image for EEG analysis
A playbook for systematically maximizing the performance of deep learning models.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Learning"
An open software package dedicated for the development of Brain-Computer Interfaces with various advanced pattern recognition algorithms
SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by Xinqiao Zhao , Hongmiao Zhang , Member, IEEE, Guilin Zhu, F…
robintibor / braindecode
Forked from TNTLFreiburg/braindecodeMoved to https://github.com/TNTLFreiburg/braindecode!