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adatime

[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

algorithms_in_ipython_notebooks

A repository with IPython notebooks of algorithms implemented in Python.

cross-subject-eeg-emotion-recognition-through-nn

dann

pytorch implementation of Domain-Adversarial Training of Neural Networks

dann-seed

Emotion Recognition with DANN

deeptransfereeg

dgcnn

pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

eeg-adapt

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

eegmatch

gnn4eeg

hello-brain

lmda-code

code for LMDA

ms-mda

Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

pgcn

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition

pr-pl

official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)

pyriemann

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

rgnn

The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"

tas-net

We propose a time-aware sampling network (TAS-Net) using deep reinforcement learning (DRL) for unsupervised emotion recognition, which is able to detect key emotion moments and disregard irrelevant and misleading parts.

trca-ssvep

Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed brain-computer interface (BCI).