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androidheroes

Source code of the book - Android群英传

bcg_artefact_correction

MATLAB code of a family of ICA-based methods (PROJIC, PROJIC-OBS and PROJIC-AAS) for BCG artefact correction on EEG data simultaneously acquired with fMRI.

bci_cocktail

Program for determining which speaker a person is attending to using EEG data collected by the Muse 2 headset. This program uses a CCA + SVM pipeline for classification.

braindecode

A deep learning toolbox to decode raw time-domain EEG.

deep_recommenders

Deep Recommenders

deepeeg

Deep learning for EEG analysis. This script was used to generate the results of the paper "Joint Optimization of Algorithmic Suites for EEG analysis" at EMBC 2014

eeg-explanation-model

Classification and Explanation Model of Brain Signal based on Deep Learning Model

eegfmripy

python code for denoising eeg data from eeg-fmri experiments, and fusing with FMRI

eegrunt

A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse

ehoney

e签宝安全团队积累十几年的安全经验，都将对外逐步开放，首开的Ehoney欺骗防御系统，该系统是基于云原生的欺骗防御系统，也是业界唯一开源的对标商业系统的产品，欺骗防御系统通过部署高交互高仿真蜜罐及流量代理转发，再结合自研密签及诱饵，将攻击者攻击引导到蜜罐中达到扰乱引导以及延迟攻击的效果，可以很大程度上保护业务的安全。护网必备良药

helloword

test

locus-of-auditory-attention-cnn

real-time-tracking-of-selective-auditory-attention

This repository includes a MATLAB demo for the paper "Real-Time Tracking of Selective Auditory Attention from M/EEG: A Bayesian Filtering Approach". The code reproduces the results in case 2 of Figure 4 in the paper as an example and includes the implementation of Algorithms 1 and 2 in the paper. In order to run the demo, just run the well-commented mfile "Main.m" located in the "demo.zip" folder.

saa_experiments

A set of experiments designed to reproduce selective auditory attention in computers.

sincnet

SincNet is a neural architecture for efficiently processing raw audio samples.

springcloud-config

tf_eeglearn

A tensorflow implementation for EEGLearn