hao199509 Goto Github PK

arl-eegmodels

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

brainx

Tools for analysis of brain imaging-derived networks, based on NetworkX

buffer-bci

code4memory

deep-bci

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

eegdenoisenet

EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.

eegtools-matlab-pipeline

Complete EEG analysis framework written in matlab, using EEGLAB and BRAINSTORM

ml_notes

机器学习算法的公式推导以及numpy实现

my_mne

open-tang

p3net

Source codes for reproducing the results presented in "A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces" paper.

psychtoolbox-3

Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU Octave functions for vision and neuroscience research.

ryg_rans

Simple rANS encoder/decoder (arithmetic coding-ish entropy coder).

salientsleepnet

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

signal-feature-extraction_de-and-psd

Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.

sleep_classifiers

Classify sleep from heart rate and acceleration via Apple Watch

sleepeegnet

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

thunderboard-android

torcheeg

TorchEEG is a library built on PyTorch for EEG signal analysis.

unified-eeg-reference-rrest

Unified Bayesian Estimator of EEG Reference at Infinity: rREST (Regularized Reference Electrode Standardization Technique)