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bci_mi_wavelet_cnn

Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network

bigproject

EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models

bsstest

Matlab utilities to automatically test different techniques of blind source separation. I developed this during my master thesis in order to test artefact removal on EEG data.

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

cnn-mi-bci

CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of EEG motor imagery signals")

cnn-visualization

CNN可视化、理解CNN

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

daily-deeplearning

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

ece-239as-project

RNNs on EEG Data

eeg-analysis

Process and analyse EEG brain signals using EEGlab

eeg-classification

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.

eeg-cnn

eeg-datasets

A list of all public EEG-datasets

eeg-filtering

Removal of EOG artifacts from EEG using Adaptive Filtering

eeg-motor-imagery-classification-cnns-tensorflow

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs)

eeglab_plugin_aar

AAR plug-in for EEGLAB

high-gamma-dataset

interview_python

关于Python的面试题

lv_drivers

TFT and touch pad drivers for LVGL embedded GUI library

lvgl

Embedded graphics library to create beautiful UIs for any MCU, MPU and display type. It's boosted by a professional yet affordable drag and drop UI editor, called SquareLine Studio.

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

motor-imagery-tasks-classification-using-eeg-data

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

ninaprocnn

Convolutional Neural Networks On Ninapro datasets

pre-trained-eeg-for-deep-learning

Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)

qwidgetdemo

Qt编写的一些开源的demo，预计会有100多个，一直持续更新完善，代码简洁易懂注释详细，每个都是独立项目，非常适合初学者，代码随意传播使用，拒绝打赏和捐赠，欢迎留言评论！

reptile

一个具有高拓展性的Java多线程爬虫框架reptile 0.2版本

shiyanlou

tf_eeglearn

A tensorflow implementation for EEGLearn

webserver