zzz-ray Goto Github PK

a-simple-tutorial-to-start-with-functional-networks.

Here we are! The main idea is to who how we can build up a functional brain network from a EEG recording database, then visualize some network features in the brain network. So let's star! (Since v. R2015b and henceforth)

aiinterview

算法工程师面试题整理

attention

some attention implements

attention-pytorch

注意力机制实践

autoencoder-method-for-eeg-classification

awesome-ai-algorithm

人工智能算法方面的综合资料合集:包括求职面试、机器学习、深度学习、强化学习等方面的资料和代码

awesome-spider

爬虫集合

bci_toolbox

Classification toolbox for ERP and SSVEP based BCI data

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

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

book_deeplearning_in_pytorch_source

brain-computer-interfaces

Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset

brainnet-ml-toolbox

Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.

cascade-parallel

cnn-p300

Using CNN to Detect P300

code

面试高频算法题总结，个人博客

course-tensorflow

Python与机器学习方向，《TensorFlow基础教程》课程仓库

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deep-learning-tensorflow2

基于Tensorflow2的深度学习开源书籍

digital-image-preocessing

UCAS Digital-Image-Processing homework based Python3

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

ece-c247-eeg-gan

GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.

eeg-adapt

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

eeg-datasets

A list of all public EEG-datasets

eeg-emotion-recognition

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

eeg-synthetic-data-using-gans

This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs) in order to augment existing training datasets to reduce caliberation time in MI-based BCI's.

eeg_motor_imagery_gan

This repository save my work about GAN applied to motor imagery eeg signals

eeggraphanalysis

Graph analysis of resting state eeg data using MNE and Networkx