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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

bci_mi_csp_dnn

Classification algorithm based on motor imagery brain-computer interface

bci_mi_wavelet_cnn

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

bcidatasetiv2a

This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor imagery

eeg-analysis-for-motor-imagery-application

eeg-datasets

A list of all public EEG-datasets

eeg_classify

Some attempts to classify EEG signals from the BCI competition

eeglab_cn

EEGLAB 免费中文教程

introduction-to-pattern-recognition-a-matlab-approach

Software for the book: “Introduction to Pattern Recognition: a MATLAB Approach”, Sergios Theodoridis, Aggelos Pikrakis, Konstantinos Koutroumbas, Dionisis Cavouras Academic Press (imprint of Elsevier Science), 2010

keras

Deep Learning for humans

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

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

missionplanner

Mission Planner Ground Control Station (c# .net)

ml-mastery-zh

:book: [译] MachineLearningMastery 博客文章

mne-cookbook

使用MNE-python过程中的小技巧,即如何处理MEG/EEG信号数据.

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

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

proximal-gradient-method

pyeegpipeline

A complete pipeline for reading preprocessing and classification of EEG data using different statistical ML models and different deep Learning models

stash

StaSh - Shell for Pythonista

test

test