We are excited to announce the availability of 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 and enable new research. It also has built-in support for Colab, integration with Papers With Code and currently contains a broad set of models that include Classification and Segmentation, Generative, Transformers, etc.



[Owner] Publishing models
PyTorch Hub supports the publication of pre-trained models (model definitions and pre-trained weights) to a GitHub repository by adding a simple hubconf.py file.
This provides an enumeration of which models are to be supported and a list of dependencies needed to run the models.