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Detect sleep apnea using heart rate data from wearable devices
This project includes preprocessing of APNEA-ECG database and a LSTM-RNN model for per-segment OSA detection.
Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf
Efficiently computes derivatives of numpy code.
A curated list of resources for Learning with Noisy Labels
An ECG based biometric model for specialised authentication systems
A Python package for the analysis of biopsychological data.
Caffe: a fast open framework for deep learning.
Configure Caffe in one hour for Windows users.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
学习cleanlab的源码实现
Public facing notes page
Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"
Directed Batch Growing Self Organizing Map
A matlab implementation of dbscan
Implementation of DBSCAN clustering algorithm in Matlab
using kd-trees
Calculate the DC and DRs use matlab
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
demo's source code for my blog: http://blog.csdn.net/housisong
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Deep learning model to identify ECG signals and tell their similarity
Random tree walk for ECG delineation.
This is ECGdeli - A selection of delicious algorithms for ECG delineation
ECG delineator network for ambulatory 2-lead recordings
Neatly packaged AI methods for explainable ECG analysis
EEMD family, Matlab version. PARFOR supported.
The codes of paper "Electrocardio Panorama: Synthesizing New ECG views with Self-supervision"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.