v3551g Goto Github PK

otl2

implementation of OTL, titled "Online Transfer Learning", author={Peilin Zhao a, Steven C.H. Hoi b,∗, Jialei Wang c, Bin Li d}

paddledetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

pe_prediction

Prediction of pre-eclampsia in expectant mothers via Viterbi algorithm and daily blood-pressure measurements

ppg

Code to estimate HR from PPG signals using Subspace Decomposition and Kalman filter for the dataset of 22 PPG recordings provided for the 2015 IEEE Signal Processing Cup (SP Cup) competition. The traces are stored in folder 'DATABASE'. Please cite this publication when referencing this material: "Measuring Heart Rate During Physical Exercise by Subspace Decomposition and Kalman Smoothing", IEEE Transaction on Instrumentation & Measurement.

ppg-1

Photoplethysmogram-based Real-Time Cognitive Load Assessment Using Multi-Feature Fusion Model

ppg2abp

ppg_and_ecg_filters

A collection of subroutines and functions for removing noise and processing ECG and PPG signals

ppg_cnn

this is a cnn_net to achieve the goal of using ppg to predict blood pressure

ppgprocessing

Obtain heart rate and SpO2 level from PPG data

preprocess

Automatically exported from code.google.com/p/preprocess

prophet

py-findpeaks

Overview of the peaks dectection algorithms available in Python

python-for-eeg-analysis

Currently working on analysis of EEG (Electroencephalography) signals on the emotion recognition and sleep stage classification problems. This package/file is a summary/gathering of the most frequently used packages, functions and papers of EEG analysis in Python.

pythonscriptsmimic

Python scripts for pre-processing MIMIC data as input of PntRCon and IntRCon algorithms

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_learn

Record_pytorch

radam

On the Variance of the Adaptive Learning Rate and Beyond

random-output-trees

Randomized output tree for multilabel / multi-output regression tasks

reliablemstl

reproducibility-mimic

Evaluating the reproducibility of mortality prediction studies in the MIMIC-III database

resnet

Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet

ressl

Implementation of the paper published at ICDM, titled "Reliable Semi-supervised Learning", author={Junming Shao, Chen Huang, Qinli Yang and Guangchun Luo}

roc

Everything ROC and Precision-Recall curves.

rppg

rrn

rteeg

[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time

scurnn

Code for the paper "Complex Unitary recurrent Neural Network using Scaled Cayley Transform "

sequence_transformer

sleep_staging_shhs

Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"

sparktest

implementation of test code of basic machine learning algorithms in Scala language