Best way to list all classification models?

Hi all,

Just curious if there is a better way to list all classification models in torchvision besides something like torchvision.models.__dict__.keys() I am trying to find something similar to pytorch-image-models you can do timm.list_models() to get a list of all available models.

You used to be able to query all segmentation models via something like __all__ = ['fcn_resnet50', 'fcn_resnet101', 'deeplabv3_resnet50', 'deeplabv3_resnet101'] from vision/ at v0.6.0 · pytorch/vision · GitHub, but I see that was removed in v0.12.0