In which areas doesn't PyTorch yet provide good solutions?

I like PyTorch, but I found that it still lacks some if not many useful and reliable tools/libraries/solutions, in certain areas. The aim of this post is to encourage people to list the areas in which PyTorch still doesn’t provide reliable, complete, elegant and “production-ready” solutions.

Here are a few of them

Hi @nbro,

Jakub from here.
I have recently developed a utility that helps you run pretty much any hyperparameter optimization library on pretty much any python script. You can check it out here with examples in scikit-optimize and hyperopt.

Before you ask, Neptune is open and free for non-organizations.
Read more about it in the docs page to get a better view.