mauricerohr Goto Github PK

adam-experiments

Experiments with Adam/AdamW/amsgrad

ar_nav

Autonomous hovering of a Crazyflie 2.0 using ArUco markers

cinc-challenge2017

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

crazyflie_ros

ROS Driver for Bitcraze Crazyflie

cvd-physiological-measurement

Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling. (ECCV2020 oral)

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

ippg-toolbox

A toolbox providing functionality for processing iPPG signals

mesh

meta-rppg

Implementation of "Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner"

mtts-can

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)

physbench

Simple, fast, and fair evaluation of remote physiological sensing models

physrecorder

A tool for recording high availability rPPG datasets

ppg_peak_detection

for paper https://doi.org/10.3390/bios12020082

ppgi-toolbox

A MATLAB toolbox for Photoplethysmography Imaging

prj._wettbewerb_kuenstliche_intelligenz_in_der_medizin

python-classifier-2022

Python example classifier for the PhysioNet Challenge 2022

rppg-toolbox

sfd

S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017

udacity-deep-learning-nanodegree

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.