An easy-to-use rPPG inference toolbox

ME-rPPG is a memory-efficient realtime rPPG network

Demo of ME-rPPG, streaming BVP & heart rate inference

Robust rPPG

Turns Data and AI algorithms into production-ready web applications in no time.

AMD lab notes with code examples to demonstrate use of AMD GPUs

An Open-source Toolkit for LLM Development

Assessment of non-invasive blood pressure prediction from PPG and rPPG signals using deep learning

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

Benchmark Framework for fair evaluation of rPPG

[ICLR 2023, Oral] SimPer: Simple Self-Supervised Learning of Periodic Targets

Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)

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

MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral)

The source code and pre-trained models for Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing (WACV 2024, Oral).

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

SCAMPS Dataset