MauriceRohr's repositories
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
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)
PPG_Peak_Detection
for paper https://doi.org/10.3390/bios12020082
PhysBench
Simple, fast, and fair evaluation of remote physiological sensing models
PhysRecorder
A tool for recording high availability rPPG datasets
PPGI-Toolbox
A MATLAB toolbox for Photoplethysmography Imaging
python-classifier-2022
Python example classifier for the PhysioNet Challenge 2022
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.