This is the official code repository of our IEEE FG 2024 paper "RS-rPPG: Robust Self-Supervised Learning for rPPG"

Image processing toolkit for development and testing of remote photoplethysmography algorithms.

rPPG-Toolbox: Deep Remote PPG Toolbox

OpenMMLab Detection Toolbox and Benchmark

iBVP Dataset: RGB-Thermal rPPG Dataset with High Resolution Signal Quality Labels

Metrical Monocular Photometric Tracker [ECCV2022]

A Library for Advanced Deep Time Series Models.

A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.

Open source implementation of CVPR 2020 "Video to Events: Recycling Video Dataset for Event Cameras"

FILM: Frame Interpolation for Large Motion, In ECCV 2022.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Code for "Continuous-time Intensity Estimation Using Event Cameras" (ACCV, 2018)

Code used in creating YouTube videos

Fast Event Video Annotation Tool

Python framework for Virtual Heart Rate

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Official and maintained implementation of the paper "Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning" (ECG-DualNet) [Phy…

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Stochastic filtering with moment representation

Benchmark Framework for fair evaluation of rPPG

Python example code for the 2023 PhysioNet Challenge

A supercharged version of paperless: scan, index and archive all your physical documents

A latent text-to-image diffusion model

rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

A toolbox providing functionality for processing iPPG signals

The source code of 'Visual Attribute Transfer through Deep Image Analogy'.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.