Statistics for topic brain-computer-interface
RepositoryStats tracks 630,443 Github repositories, of these 37 are tagged with the brain-computer-interface topic. The most common primary language for repositories using this topic is Python (21).
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CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
Low Cost Electroencephalogram Based Brain-Computer-Interface
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
Low Cost Electroencephalogram Based Brain-Computer-Interface
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
A driver, parser and real time brainwave plotter for NeuroSky MindWave EEG headset
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers
Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
List of summer schools to study brain-computer interfaces, neurotechnology & related fields worldwide
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers