wangmengxiao319 Goto Github PK

-nc-paper-automatic-ecg-diagnosis

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

-physo-

这是物理学公式拟合工具PhySo（Φ-SO）的demo的中文注释项目，帮助需要快速入门此工具的**科研人员初步熟悉该工具的使用

ami-database1

andrew-ng_ecg

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

arcade_submit

Submit Page for ARCADE challenge for MICCAI Conference

arrowcmr

Repository for FPGA and ARM code for Arrow CMR development board

autosam

finetuning SAM with non-promptable decoder on medical images

choice_stu_no_register

选择今日未打卡的人，并粘贴在剪贴板

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deep-learning-coursera

吴恩达深度学习课程课后编程作业

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningbook-chinese

Deep Learning Book Chinese Translation

ecg-age-prediction

Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predictor".

ecg-with-scatter-graph

fastbook

The fastai book, published as Jupyter Notebooks

lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

machine-learning-notes

白板推导系列课程笔记 初版

matlab_dof4

Analyzing the system with four degrees of freedom, from the homework of <Mechanical System Dynamics>

mitab_ecg_cnn_classification

Basic Algorithm For Beginners （Python version）

mousavi2018_ecg-heartbeat-classification-seq2seq-model

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

oxyford_mi-multilabel

physo

Physical Symbolic Optimization

rta-cnn

The code of An End-to-End Atrial Fibrillation Detection by A Novel Residual-Based Temporal Attention Convolutional Neural Network with Exponential Nonlinearity Loss

shenda-hong2019_mina

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

snippet-policy-network-v2

The source code of SPN-V2

sota_ecg-classification

ECG Arrhythmia classification using CNN

vgg16-mlp_anomaly-detection-in-time-series-with-triadic-motif-fields

Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification

zero-shot-ecg

A Personalized Zero-Shot ECG Anomaly Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Suspicious Beat Detection for a Practical ECG Surveillance