Regarding Tensorflow models in Tensorflow Hub (https://tfhub.dev/tensorflow) vs models found on official Tensorflow Github Repository (https://github.com/tensorflow/models/tree/master/official):
- Does Tensorflow regularly maintain and update both of them?
- What are the biggest differences between them?
- What functionality does one have that the other doesn't?
- Do they have overlaps models (i.e Resnet, R-CNN)? Are there some models that are only exclusive to one of them?
- Are they installed differently? Why or why not?
- Are they deployed on differently? Why or why not?
- Is one more "official" than the other? Does one have more stable models?
- As a user of the model, what would be the biggest difference in experience while using them?
Thanks!