[rsfern]

Thanks for elaborating!

> And running/testing the approaches and models is often still quite cumbersome due to different versions and so on.

I definitely agree with this. I don’t know that I have any particular insight on infrastructure, but I think one of the things that makes huggingface and SMP [0] successful is a well defined common model and data API.

It can be hard to clone a random research repo and train models on custom datasets because the model API is slightly different, or expects the data in a different format. I think this is a thing in graph neural networks right now, where different libraries use different data formats, and some groups roll their own

0: https://segmentation-models-pytorch.readthedocs.io/en/latest...