zh0501

zh0501's Stars

• PKU-YuanGroup/ChatLaw

  ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

  7k546

• OpenHUTB/neuro

  神经科学原理

  Language:TeX3442

• lpj-github-io/MWCNNv2

  Multi-level Wavelet Convolutional Neural Networks

  Language:Python27465

• jingwang2020/ECML-PKDD_MMCNN

  MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification

  185

• AbbasSalami/EEG-ITNet

  Language:Jupyter Notebook274

• TBC-TJU/MetaBCI

  MetaBCI: China’s first open-source platform for non-invasive brain computer interface. The project of MetaBCI is led by Prof. Minpeng Xu from Tianjin University, China.

  Language:Python381159

• IoBT-VISTEC/Decoding-EEG-during-AO-MI-ME

  The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)

  Language:Python3816

• drwuHUST/TLBCI

  Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline, Information Sciences, 2021, submitted."

  Language:MATLAB6827

• SuperBruceJia/EEG-DL

  A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

  Language:Python967225

• braindecode/braindecode

  Deep learning software to decode EEG, ECG or MEG signals

  Language:Python826180

• NeuroTechX/moabb

  Mother of All BCI Benchmarks

  Language:Python703181

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.2k881

• Altaheri/EEG-ATCNet

  Attention temporal convolutional network for EEG-based motor imagery classification

  Language:Python19826

• Fuminides/athena

  Athena is a library that comprises many different bci frameworks that perform classification on a set of eeg data.

  Language:Python193

• fbcsptoolbox/fbcsp_code

  Language:Python3113

• TBC-TJU/brainda

  BCI datasets and algorithms

  Language:Python6917

• mochakai/EEGNet_DeepConvNet

  Language:Python5

• gibranfp/P300-CNNT

  1D Convolutional Neural Networks for P300 detection from EEG signals

  Language:Python8319

• orvindemsy/BCICIV2a-FBCSP

  Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python

  Language:Jupyter Notebook3610

• vlawhern/arl-eegmodels

  This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

  Language:Python1.2k294

• aliasvishnu/EEGNet

  [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

  Language:Jupyter Notebook28967

• matt-houk/MB3DCNN

  Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by Xinqiao Zhao , Hongmiao Zhang , Member, IEEE, Guilin Zhu, Fengxiang You, Shaolong Kuang, Member, IEEE, and Lining Sun

  Language:Python183

• basel-shehabi/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.

  Language:Python488

• ayushigupta97/BCI_competition_III_2DLDA_svm

  Physical Activity Recognition Using Brain Signals

  Language:Python72

• dalinzhangzdl/BCI_MI_Wavelet_CNN

  Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network

  Language:Jupyter Notebook10328

• krishk97/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.

  Language:Jupyter Notebook15543