AviatorYan

AviatorYan

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AviatorYan's repositories

deep_learning_with_noisy_labels_literature

This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.

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electronic-wechat

:speech_balloon: A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.

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cleanlab

学习cleanlab的源码实现

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HRV

Methods for analyzing Heart Rate Variability

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non-contact-sleep-apnea-detection

Gihan Jayatilaka, Harshana Weligampola, Suren Sritharan, Pankayaraj Pathmanathan, Roshan Ragel and Isuru Nawinne, "Non-contact Infant Sleep Apnea Detection," 2019 14th Conference on Industrial and Information Systems (ICIIS), Kandy, Sri Lanka, 2019, pp. 260-265, doi: 10.1109/ICIIS47346.2019.9063269.

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mhrv

Matlab toolbox for calculating Heart-Rate Variability metrics on ECG signals

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PhysioNet-Cardiovascular-Signal-Toolbox

PhysioNet Cardiovascular Signal Toolbox

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DBSCAN-for-Matlab

using kd-trees

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Apnea-ECG

Detect sleep apnea using heart rate data from wearable devices

License:MITStargazers:0Issues:0Issues:0

SNNDPC

Shared Nearest Neighbor-based Clustering by Fast Search and Find of Density Peaks

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ECGDelNet

ECG delineator network for ambulatory 2-lead recordings

License:GPL-2.0Stargazers:0Issues:0Issues:0

Area-Under-the-Margin-Ranking

Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf

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matlab-kmeans

Fast implementation of the K-Means clustering algorithm adapted to work on 3D image arrays in MATLAB.

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Tianchi_ECG_Competition

心电异常检测

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tianchi_ecg

"合肥高新杯"心电人机智能大赛(https://tianchi.aliyun.com/competition/entrance/231754/introduction)

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pubmed_parser

:clipboard: Python XML parser for PubMed Open Access subset and MEDLINE dataset

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Obstructive-Sleep-Apnea-Detector

Detection of Obstructive Sleep Apnea using Heart Rate Variability in ECG Signals using the Time Domain and Frequency Domain methods and Classification is done using SVM(Support Vector Machines) and K-Means Clustering.

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SleepApneaDetection

Detection of sleep apnea using machine learning

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cvpr15deepcompare

Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

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ApneaECGAnalysis

This project includes preprocessing of APNEA-ECG database and a LSTM-RNN model for per-segment OSA detection.

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esp-idf

Espressif IoT Development Framework. Official development framework for ESP32.

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HRV-detrend

Matlab implementation of HRV detrend by MP Tarvainen et al., 2002

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autograd

Efficiently computes derivatives of numpy code.

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som-cpp

Self Organizing Map (SOM) is a type of Artificial Neural Network (ANN) that is trained using an unsupervised, competitive learning to produce a low dimensional, discretized representation (feature map) of higher dimensional data.

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spline-interpolation

spline interpolation implemented by Matlab and C++

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Phasor-Transform-for-Automatic-Delineation-of-Single-lead-ECG-Fiducial-Points

Custom implementation of signal processing based approach For ECG signal fiducial points delineation as presented in Martinez 2010 paper (http://iopscience.iop.org/article/10.1088/0967-3334/31/11/005/meta)

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lz78-1

a toy Lempel-Ziv-78 implementation

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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Machine_Learning_ECG

A Project Using Machine Learning to Mining ECG Data

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