PyTorch Hub contributions welcome!
We are actively looking to grow the PyTorch Hub and welcome contributions. You don’t need to be an original paper author to contribute, and we’d love to see the number of domains and fields broaden. So what types of contributions are we looking for?

Artifacts of a published or an arXiv paper (or something of a similar nature that serves a different audience — such as ULMFit) that a large audience would need.

AND

Reproduces the published results (or better)

Overall these models are aimed at researchers either trying to reproduce a baseline, or trying to build downstream research on top of the model (such as feature-extraction or fine-tuning) as well as researchers looking for a demo of the paper for subjective evaluation. Please keep this audience in mind when contributing.