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action-detection

temporal action detection with SSN

actionrecognition

Explore Action Recognition

activitynet-toolkit

This repository is intended to host tools and demos for ActivityNet

autosmart

awesome-anomaly-detection

A complete list of papers on anomaly detection.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

benchmarking_dl_mimiciii

biosignalprocessingfinalproject

bloodpressure_ppg_ml

Repository from final conclusion work of Computer Engineering. Estimation of Systolic and Diastolic Blood Pressure Using PPG and ECG Signals and Machine Learning Algorithms

bp-estimation-mimic3

Crucial pieces of code for the BP estimation using MIMIC III database. Paper submitted to Sensors journal.

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

caffe

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

cinc-challenge2017

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

cuff_less_bp_prediction

Prediction of Blood Pressure from ECG and PPG signals using regression methods.

curve

An Integrated Experimental Platform for time series data anomaly detection.

deepecg

A library for classifying single-lead ECG waveforms as either Normal Sinus Rhythm, Atrial Fibrillation, or Other Rhythm.

deeprnn

long-term blood pressure prediction with deep recurrent neural networks

diabeteshelper

血压及脉搏监测和简单变化趋势预测 APP

early-hospital-mortality-prediction-using-vital-signals

The source code of "Early Hospital Mortality Prediction using Vital Signals"

ecg

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

ecg-arrhythmia-classification

ECG arrhythmia classification using a 2-D convolutional neural network

ecg-classification

ecg-heartbeat-classification-seq2seq-model

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

ecgneuralnetwork

eeg-literature

Notes on methods using EEG for seizure prediction

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

gluon-ts

GluonTS - Probabilistic Time Series Modeling in Python

gpu_flow

GPU based optical flow extraction in OpenCV

health_exg

Repository for the course "Analysis of medical signals" under the specialisation healthcare Engineering at IMT Atlantique