DhrLhj

DhrLhj's Stars

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.1k3071.4k2.5k

• cool-RR/PySnooper

  Never use print for debugging again

  Language:Python16.4k228134952

• mne-tools/mne-python

  MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

  Language:Python2.7k834.8k1.3k

• neuropsychology/NeuroKit

  NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

  Language:Python1.6k30500417

• Pi-EEG/EEGwithRaspberryPI

  Open-Source board for converting RaspberryPI to Brain-computer interface

  Language:Python86243587

• aangelopoulos/conformal-prediction

  Lightweight, useful implementation of conformal prediction on real data.

  Language:Jupyter Notebook772131086

• NeuroTechX/moabb

  Mother of All BCI Benchmarks

  Language:Python68631287178

• bbaaii/DreamDiffusion

  Implementation of “DreamDiffusion: Generating High-Quality Images from Brain EEG Signals”

  Language:Python469143859

• facebookresearch/brainmagick

  Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published in Nature Machine Intelligence, 2023.

  Language:Python40415462

• fwillett/handwritingBCI

  Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"

  Language:Jupyter Notebook3628879

• malele4th/sEMG_DeepLearning

  sEMG-based gesture recognition using deep learnig

  Language:Jupyter Notebook35586119

• emadeldeen24/AttnSleep

  [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

  Language:Python19211962

• ncclabsustech/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 Notebook1633944

• zhangks98/eeg-adapt

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

  Language:Python836137

• LiaoPan/MNE-Cookbook

  使用MNE-python过程中的小技巧,即如何处理MEG/EEG信号数据.

  Language:Jupyter Notebook785013

• ZitongLu1996/Python-EEG-Handbook

  A handbook for EEG data analysis based on Python

  Language:Jupyter Notebook48117

• Alokia/Idempotent-Generative-Network

  Idempotent Generative Network's unofficial pytorch implementation

  Language:Python44104

• Oichii/DeepPulse-pytorch

  PyTorch implementation of pulse measurement neural networks.

  Language:Python40288

• ziyujia/Chinese-Reading-Materials

  A list of experts in the field of the brain-computer interface and biological signal processing in China

  Language:HTML39205

• hsd1503/MINA

  MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals, IJCAI 2019

  Language:Python362413

• bruAristimunha/Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-Models

  Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.

  Language:Python33845

• JaeyoungShin/hybrid-BCI

  Tutorial for data processing for hybrid BCI

  Language:Matlab332511

• jayheo/UA

  Language:Python23115

• Ma-Xinzhi/LightConvNet

  Language:Python19134

• ncclabsustech/Single-Channel-EEG-Denoise

  Language:Jupyter Notebook14001

• Kang1121/GITGAN

  Language:Python11124

• JinY97/GCTNet

  Language:Python10131

• JKDomoguen/Uncertainty-Aware-Pytorch-Implem

  The pytorch implementation of paper "Uncertainty-Aware Attention for Reliable Interpretation and Prediction" by Jay Heo, Hae Beom Lee, Saehoon Kim, Juho Lee.

  Language:Python5313

• xuhui-hu/SciData2021

  The acquisition programe of SciData2021

  Language:HTML5100

• alberto-jj/functional_data_analysis_rs_eeg

  Codes for spectral features extraction and Functional Data Analysis (FDA) in resting-state EEG recordings

  Language:Jupyter Notebook2200