hsd1503 Goto Github PK

aid

Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings

cardiodefense

cardiolearn

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

cardiov

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

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

cinc2020_meta

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

courseradatascience

Coursera Johns Hopkins Specialization in Data Science course

courseraml

Programming assignment code of Andrew Ng 2014 machine learning course on Coursera

covid19

covid19_rnn

da-rnn

📃 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

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

Data-driven inverse design of flexible pressure sensors

datasets

A collection of datasets of ML problem solving

ddl

Some CS conf. countdown

didi_contest

Code for 2016 Di-Tech Competition

dl-ecg-review

A Review of Deep Learning Methods on ECG Data

dl-sleep-ecg

dna

DNA search contest

ecg_feature_extraction

ecg_ptbxl_benchmarking

Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"

ecg_snn

Building and training a deep spiking neural network for ECG classification

ecg_uncertainty

eeg-seizure-dataset

EEG Seizure Dataset

encase

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

event2vec

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

geoman

a easy pytorch implement of GeoMAN

gitignore

A collection of useful .gitignore templates

hirid

Computing circulatory status of HiRID data

holmes

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