It's been awhile, but last time I was doing serious work in Julia things were a little janky. For example, the REPL would segfault sometimes if I Ctrl-C'ed during heavy computations. And Flux at first seems like it will work on any code, which seems amazing, but then you find out at runtime that one of the operations you used isn't supported and get a runtime error. PyTorch might not work on regular Python code, but at least I know the APIs provided by PyTorch will work, even though they are a subset of what can be done in regular Python.

Still, most things worked in Julia, and there have been many improvements since then so I suspect the few remaining rough spots are being smoothed out. In the future I will be happy if I get to work with Julia more.