Plot short video of 2/3D scalp topography using EEGLAB

A repository for tools that help plotting EEG data.

ScalpPlot is a easy-to-use/customizable plot tool for drawing scalp maps of EEG/MEG data in MATLAB

Repo for Brain Networks course

A ready-to-use notebook!

Official implementation of "MARS, Multi-Agent Reinforcement Learning for Spatial-Spectral and Temporal Feature Selection in EEG-based BCI"

A model to select an optimal subset of features from the target data using swarm intelligence metaheuristic-based approach-Grey Wolf Optimization(GWO). A new variant of GWO was introduced by enhanc…

我的一些面试心得；自学CS历程分享；找工作求职经验分享

CVPR 2024 论文和开源项目合集

一份计算机专业宝藏求职攻略【校招时间表+求职攻略+简历制作+大厂面试经验+职业发展】

An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectral density (PSD), differential entropy (DE), empirical mode …

semantic segmentation based on SegNet ,use dataset CamVid

Notes about courses Dive into Deep Learning by Mu Li

vit初步，CIFAR10

Feature Extraction and Classification of Cognitive Mental workload | EEG signals | Machine Learning | Deep Learning.

Curated Collection of BCI resources

A convolution network neural network in Keras with Python using CIFAR-10 dataset

A fast xgboost feature selection algorithm

Pytorch实现：使用ResNet18网络训练Cifar10数据集，测试集准确率达到95.46%(从0开始，不使用预训练模型)

A collection of research papers on decision, classification and regression trees with implementations.

脑机接口资源汇总

Feature extraction for EEG signals

This toolbox offers several deep learning methods, which are simple and easy to implement.

This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.

Courses in UCAS

中国科学院大学2019-2020课程（秋季，春季，夏季）

LaTeX Thesis Template for the University of Chinese Academy of Sciences

all courses' homework