Thanks! One of the benefits of Lobe is that users who build models from scratch can publish and share to use in other documents, like a community model zoo. We do this for the current architectures internally, but the goal is for the community to help keep up with the firehose state-of-the-art in ML.

Something really interesting we have discussed for a future feature is being able to train a model using the data of which architectures end up working best for different data types so that Lobe can use AutoML to suggest better templates starting out, or on the fly while you are building the model.