Fastai2 vs pytorch-lightening ... pros and cons? integration of the two?

This from one of their comments on this intro video

  • Lightning is built for professional researchers using PyTorch.
  • fastAI is built for students for the fastAI course (with PyTorch).

Seems to trivialize fastai as a library fine for learning if you are taking the fastai course … but that’s about it. If you want to do real research, I guess you use PyTorch-Lightening or write everything out by hand??

Sounds a bit snarky imo.

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