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algorithms

candock

尝试多种不同的深度神经网络结构(如LSTM,RESNET,DFCNN等)对单通道EEG进行自动化睡眠阶段分期.我们相信这些代码同时可以用于其他生理信号(如ECG,EMG等)的分类.希望这将有助于您的研究.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cnn-eeg

CNN classifier to classify MI-EEG signals

code

ECG Classification

de_cnn

This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition" (To appear...)

deepcca

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

demo01

this is first commit

dl

docs

Documentation for OpenBCI

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-datasets

A list of all public EEG-datasets

eeg-emotion-recognition

EEG data processing and it's convolution using AutoEncoder + CNN + RNN

eeg-explanation-model

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

eeg_cnn

Python code for mental state recognition from EEG observations using CNN and RNN networks.

eegrunt

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

hadoop

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南

javaguide

「Java学习+面试指南」一份涵盖大部分Java程序员所需要掌握的核心知识。

kaggle_eeg

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

machinelearningtopic

机器学习笔记

ml_

ml_01

ml_tutorial

movie_recommend

基于Spark的电影推荐系统，包含爬虫项目、web网站、后台管理系统以及spark推荐系统

neurokit.py

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

openbci_lsl

An application for establishing an OpenBCI stream through the Lab Streaming Layer (LSL)