Hey all,
One problem we face is how unmodular deep learning code can be, meaning that adapting someone else's code for your own dataset, your own workflow, your own way of training, and so on, can be a real pain.
We made an open source resource and framework to make it easy to combine and train deep learning models and datasets, with a heavy focus on modularity. Right now we have a few example models and datasets - mainly GANs! - that you can play with on the site.
We invite you to contribute to this new open source resource. We will be also adding a lot of content in the coming weeks. Of course, if you have any feedback that would be great too.
