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attention_based_neural_networks_for_wireless_channel_estimation

Code for the paper Attention Based Neural Networks for Wireless Channel Estimation HA02

bci4als-online

braingb

Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

fc_geodesic

code for NIMG paper

hmm-mar

Toolbox for segmentation and characterisation of transient connectivity

husformer

This repository contains the source code for our paper: "Husformer: A Multi-Modal Transformer for Multi-Modal Human State Recognition". For more details, please refer to our paper at https://arxiv.org/abs/2209.15182.

icare-dl

Predicting Neurological Outcome in Comatose Patients after Cardiac Arrest with Deep Neural Networks

matlab-example-2023

MATLAB example code for the 2023 PhysioNet Challenge

mncs

multi-physiological-emotion-recognition

multimodal-transformer

[ACL'19] [PyTorch] Multimodal Transformer

phmgnnbenchmark

this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.

tensor-cspnet-and-graph-cspnet

This is the python implementation of Tensor-CSPNet and Graph-CSPNet.