Starred repositories
The Open Source Java EE Reference Implementation
Turn any glasses into AI-powered smart glasses
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
ifyz / chatgpt_academic
Forked from binary-husky/gpt_academic中科院科研工作专用ChatGPT,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能
Leuven.MapMatching toolbox for aligning GPS measurements to locations on a map.
Leuven.MapMatching toolbox for aligning GPS measurements to locations on a map.
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
SHUNSU321 / PyVRP
Forked from PyVRP/PyVRPOpen-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
Stress detection using Electrodermal Activity (EDA) changes. EDA is collected by Empatica E3 wristbands and Bitalino setup with EDA and ECG sensors. Stress condition is triggered by image sequences…
ComEDA: a new tool for complexity assessment of electrodermal activity dynamics
Electrodermal Activity - phasic and tonic components during VR simulation
Software for the analysis of electrodermal activity (EDA) using convex optimization
Pytorch code for our TOMM2022 paper "A Multimodal framework for large scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals"
A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
Popular ECG QRS detectors written in python
Systole: A python package for cardiac signal synchrony and analysis
This method provide jointly the low component and the driver response of a galvanic skin response signal.
Algorithm for the analysis of electrodermal activity (EDA) using convex optimization
Heart rate variability (HRV) biofeedback with Polar ECG chest straps.
C# library that handles the full process of gathering biometric data from a body-worn sensor, transforming it into handcrafted feature vectors, and delivering an inferencing result in thirty-five l…
E4 TimeStamper helps researchers to automatically add timestamps to physiological data derived from Empatica's E4 wristbands.
For running psychology and neuroscience experiments