Shenda Hong

resnet1d. PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

DL-ECG-Review. A Review of Deep Learning Methods on ECG Data

PhysioNet. MIT-BIH data preprocessing and a sample deep model

transformer1d. pytorch implementation of transformer for 1D data

ENCASE. Deep Learning on ECG, the First place in the PhysioNet/CinC Challenge 2017 (F1=0.83)

MINA. MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals, IJCAI 2019

PIC_mortality. Predicting In-hospital Mortality of Patients in the Pediatric ICU

ECG_feature_extraction. Python

HOLMES. HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units (KDD 2020)

CardioV. Estimating Critical Value from Electrocardiogram using a Deep Ordinal Convolutional Neural Network

ecg_plot. Jupyter Notebook

ECG_SNN. Building and training a deep spiking neural network for ECG classification

CardioLearn. CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram (WWW 2020 Demo)

cinc2020_meta. Practical Lessons of 12-lead ECG Classification: Meta-Analysis of Methods from PhysioNet/Computing in Cardiology Challenge 2020

DDL. Some CS conf. countdown

EEG-Seizure-Dataset. EEG Seizure Dataset

DL-Sleep-ECG.

mimic3-benchmarks. Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

ecg_uncertainty. Python

hsd1503.github.io. https://hsd1503.github.io/

PIC. PIC dataset related codes

data-driven-inverse-design-of-flexible-pressure-sensors. Data-driven inverse design of flexible pressure sensors

RDPD. RDPD: Rich Data Helps Poor Data via Imitation, IJCAI 2019

event2vec. Event2vec: Learning Representations of Events on Temporal Sequences. APWeb-WAIM 2017

covid19_rnn. Jupyter Notebook

hirid. Computing circulatory status of HiRID data

CardioDefense. Python

Interpretability. Interpretability

MachineLearningTutorials.

TEG-net. Gated Temporal Convolutional Neural Network and Expert Features for Diagnosing and Explaining Physiological Time Series

covid19. Jupyter Notebook