Cascade xDAWN EEGNet for ERP detection

Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

This is a framework for EEG signal seizure detection.

Improving BCIs with generative models synthesizing realistic EEG signals. Co-authored research paper: https://arxiv.org/abs/2402.09453

[ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

图神经网络、图卷积网络、图注意力网络、图自编码网络、时空图神经网络等论文合集。

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

WNFG-SSGCNet-ADMM

A web application for visualising quic-tracker test results

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

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.

Deep learning software to decode EEG, ECG or MEG signals

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying …

Code for spectral analysis of EEG using Morlet wavelets based on the frequency-based parametrization presented in [Bomatter et al 2024, eBioMedicine](https://doi.org/10.1016/j.ebiom.2024.105259)

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K -…

Fully Convlutional Neural Networks for state-of-the-art time series classification

TorchEEG is a library built on PyTorch for EEG signal analysis.

Digital signal processing for neural time series.

A list of openly available datasets in (mostly human) electrophysiology.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

A collection of resources on applications of multi-modal learning in medical imaging.

a distributed Hyperband implementation on Steroids