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AI · June 10, 2019

PyTorch Hub

Towards Reproducible Machine Learning

PyTorch Hub launched on June 10, 2019 with 3 votes. The site was still online in September 2026, 7 years on.

Visit pytorch.org ↗PyTorch Hub alternatives

What it does

PyTorch Hub: a simple API and workflow that provides the basic building blocks for improving machine learning research reproducibility. PyTorch Hub consists of a pre-trained model repository designed specifically to facilitate research reproducibility.

Reproducibility is an essential requirement for many fields of research including those based on machine learning techniques. However, many machine learning publications are either not reproducible or are difficult to reproduce. With the continued growth in the number of research publications, including tens of thousands of papers now hosted on arXiv and submissions to conferences at an all time high, research reproducibility is more important than ever. While many of these publications are accompanied by code as well as trained models which is helpful but still leaves a number of steps for users to figure out for themselves. We are excited to announce the availability of PyTorch Hub, a…from pytorch.org

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