LingXilei10

Brain-TokenGT

"Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding" (MICCAI 2023)

IFNet

PGCN

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition

BF-GCN

This project is the code of BF-GCN. The paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems.

Awesome-Deep-Community-Detection

Deep and conventional community detection related papers, implementations, datasets, and tools.

Com-BrainTF

The official Pytorch implementation of paper "Community-Aware Transformer for Autism Prediction in fMRI Connectome" accepted by MICCAI 2023

NAGphormer

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

BGAGCN-MT

MSVTNet

MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding

LightConvNet

mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

Seizure_MoE

The official code for the paper 'Mixture of Experts for EEG-Based Seizure Subtype Classification'.

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ModernTCN

This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU

snn-sound-localization

Training spiking neural networks for sound localization

SWOWZH

Small World of Words - Zhongwen, a Chinese word association norm

mamba

Mamba SSM architecture

awesome-deep-time-series-representations

A curated list of state-of-the-art papers on deep learning for universal representations of time series.

FBCNet

FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface

TodyNet

TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification

NICE-EEG

[ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.

ViT-Adapter

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

NNFL-EEG-DRCNN

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

eeg-transformer

Analysis of Transformer attention in EEG signal classification

eeg_mi_dl

A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).

EEG-Transformer

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

EEG-Conformer

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

EEG-Transformer

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

MultiChannelSleepNet

[IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"

Emotion-Recognition-from-EEG-Data-with-Time-Series-Transformers

My master thesis about emotion recognition form EEG data with a multimodal transformer