TF Hub

- A lot of confusion and legacy between old TF / Keras / Hub models / SavedModels
- Instructions are like 10 separate documents, but after looking at examples it is kind of easy ... but the docs are very ... non-intuitive
- ~1000 models published, most of them by Google, most of them just very niche research artefacts
- Overall structure consists of models and collections. Nice tagging, nice web UI to look through the models, I see why there is so much hassle with format documents
- Zero traffic from there though =(
- Core models and community models are separated ... so I believe this is the reason. Also PyTorch hosts its hub on their main domain, whereas TF created a separate one ... you see what I mean =)
- I could fit PyTorch logic there as well, so it is nice after all!
- No focus on licensing - you can just add any license you want