Kyle Daruwalla

> If that works, "smart" training of MLJ pipelines would mean no "re-batching" when retraining the composite model, unless the batch size changes, which is good. If I'm understanding this...

Yes, to be clear, I didn't mean that augmentation happens on the full batch. It is still a per-sample operation. There are multiple ways to apply an augmentation. It can...

Any update to this give the callback integration in FluxTraining.jl?

These are great comments. I'll try and give some insight on some of them. - **Julia files vs. Jupyter notebooks:** I believe Chris has given us some references on how...

> As someone newer to the ecosystem and Julia, it would probably be good to have a list of best practices when implementing a model - a checklist with explanations....

> @darsnack , when you said "the custom dataset interface" it sounds like you were referring to something in particular? Yes, since we've adopted MLDataPattern.jl for iterating datasets, any custom...

> IMHO the model zoo should find the right balance between three things: > Impress with what can be done with Flux > Guide people trying to learn Flux >...

We are working on establishing a "Flux" Publish theme for all the ecosystem packages. I can put together a sample PR where I translate a couple of the zoo examples...

~~Ah I didn't realize that the model-zoo was already capable of feeding the tutorials on the website. Does this happening automatically on release?~~ I'm thinking of something like the tutorials...

Yeah moving off Jekyll to a Julia-based static website generator would make this all easier for sure.