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ncclabsustech's repositories

EEGdenoiseNet

EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.

Language:Jupyter NotebookMIT160 3 9

DeepSeparator

Deep learning model for EEG artifact removal

Language:Python56 1 5

Chinese_reading_task_eeg_processing

Language:Python51 2 5

Brain-structure-function-modelling

Brain structure-function modelling (DTI & fMRI process)

Language:Jupyter Notebook19 10

Single-Channel-EEG-Denoise

Language:Jupyter NotebookMIT1400

BI-AI-2022-Lecture-Notes

南科大研究生课BME5012 人脑智能与机器智能 2022秋

9 10

MOVEA

Release data can be found in https://github.com/ncclab-sustech/MOVEA/releases/tag/MOVEA_data

Language:PythonGPL-3.0300

eeg_chn_resource

Language:Python2 10

HyperNTF

Hypergraph reguralization nonnegative tensor factorization

2 1 1

translations

We upload our Chinese translations for some important reviews in neuroscience and AI field.

2 10

AI-BI

100

2020summer

Language:CSS010

IFCIS-55

Language:Python010

lectures

010

MODA-algorithm

Language:MATLAB010

PLSRbiGr

Two methods for solving partial least square regression via Riemannian manifold optimization, namely PLSRbiGr and PLSRSt.

010

RDA-algorithm

001

README

README文件语法解读，即Github Flavored Markdown语法介绍

Unlicense000

SAT-in-sensorimotor-control

Language:MATLAB010