Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754
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Jan 7, 2024 - Python
Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754
CpGPT: a Foundation Model for DNA Methylation.
The neuro-imaging brain aging chart [niCHART] is a comprehensive solution to analyze standard structural and functional brain MRI data across studies. [niCHART] and the associated pre-processing tools implement computational morphometry, functional signal analysis, quality control, statistical harmonization, data standardization, interactive visual
Official Implementation for "SelfAge: Personalized Facial Age Transformation Using Self-reference Images"
Official Implementation for "Age-Dependent Face Diversification via Latent Space Analysis" (CGI2023)
A longitudinal reliability benchmark foundation for agent lifespan engineering.
Aging Time Lapse using Stable Diffusion
Supporting cognitive wellness over time
Open Genes API provides access to research data collected for the genes associated with aging
Numerical model for life history evolution of age-structured populations
Tools associated with the Calico Murine Aging Cell Atlas, Kimmel 2019 et. al., Genome Research
This repository include the source codes for "AutoFTIR", an FTIR analysis tool, developed by Asphalt Binder and Mixture Laboratory (ABML) at Turner-Fairbank Highway Research Center (TFHRC). AutoFTIR provides GUI to facilitate the analysis of asphalt binder FTIR spectrum and serves as a database for storing the results.
Quantifying senescence, the easy way.
Code for our pilot study on social closeness, trust, and aging.
24 epigenetic aging clocks (GrimAge V1/V2, Horvath, Hannum, PhenoAge, Ying, DunedinPoAm, DNAmTL…) as an installable, offline agent skill — pandas+numpy only.
往来账款账龄分析工具 — 先进先出法自动计算往来账龄,导出审计底稿。基于 AGPL-3.0 开源。
Prediction and characterization of human ageing-related proteins by using machine learning. Related publication: https://doi.org/10.1038/s41598-018-22240-w
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