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ecg_ptbxl_benchmarking

Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"

ProstheticHand

PaWFE---Parallel-Window-Feature-Extraction

Parallel signal feature extraction code. The code was originally written for sEMG, but it can be applied to other data arranged as multiple sequences of values (e.g. EEG).

EIT_EE

Electrical Impedance Tomography PCB design

awesome-bci

Curated Collection of BCI resources

pytorch-sentiment-analysis-classification

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

SPDNet

This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017

dgcnn

gnn-eeg

Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.

DGCNN

Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch

EEG-Transformer

A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification

MIN2Net

End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)

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)

BCI-2021-Riemannian-Geometry-workshop

Riemannian Geometry workshop at vBCI Meeting 2021

geometric_ml

This repository contains code for applying Riemannian geometry in machine learning.

cnn-eeg

CNN classifier to classify MI-EEG signals

Pywptemd

Class to filter EEG artifacts using WPT, ICA and EMD

cs231n_course_homework

cs231n_course_homework code

feature-visualization

tensorflow example of visualizing features from a convnet

ERBCPSI

The code for "EEG-based Emotion Recognition Using Convolutional Neural Network with Functional Connections"

handwritingBCI

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

fbcsp_code

ijcnn

This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network"

emotion-classifcation-eeg-seed-ensemble

Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble

EEG_Emotion_Classifier_DEAP

EEG Emotion classification using the DEAP pre-processed data

MLSEED

Emotion Recognition using ML methods on the SEED dataset

EEGNet

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

CrossViT

Official implementation of CrossViT. https://arxiv.org/abs/2103.14899