
layout: blog_detail
title: 'Towards Reproducible Research with PyTorch Hub'
author: Team PyTorch
redirect_from: /2019/06/10/pytorch_hub.html

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.