Download README.md from lucascamillomd/pyaging-data: direct link, hf CLI and curl.
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https://huggingface.co/lucascamillomd/pyaging-data/resolve/4be50ce1ce58651776e32d59c594cdfd0e2957a5/README.md
- Command line
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hf download hf://lucascamillomd/pyaging-data@4be50ce1ce58651776e32d59c594cdfd0e2957a5/README.md
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license: other
library_name: pyaging
tags:
- biology
- aging
- biological-age
- pytorch
pyaging data
This public repository contains the model weights and data files used by
lucascamillomd/pyaging.
Contents
- Root-level
*.ptfiles are the current pyaging clock models. all_clock_metadata.ptis the live aggregate clock catalog.- Root-level example files support the pyaging tutorials.
supporting_files/contains dependencies used to construct or document clocks.
Files used by the Python package are intentionally stored at the repository root so
hf_hub_download(..., local_dir="pyaging_data") preserves existing flat local paths.
The main branch is the live data release and may change independently of the Python
package version.
Licensing and provenance
This is a mixed-provenance research collection, so the repository license is other.
The pyaging BSD license does not grant additional rights to third-party clock weights or
source datasets. Consult each clock's embedded metadata, cited publication, and notes
before use. Some clocks are marked research-only or have separate commercial terms.
Security
Clock files are trusted Python/PyTorch objects loaded by pyaging with
torch.load(..., weights_only=False). Loading a malicious pickle can execute code. Only
load these files from this official repository and review unexpected repository changes.
Publishing policy
The repository is maintained solely by Lucas Paulo de Lima Camillo (lucascamillomd).
Weights are uploaded before aggregate metadata so the catalog never advertises a missing
clock file. Public users need no Hugging Face token to download files.