Last time I looked the automatic differentiation was in a compiler branch with no immediate plans to merge in master.

But overall it is promising. I even installed Swift on Linux to play with it, didn't get to ML as I have an AMD GPU and this is a can of worms. Hope it's finished one day.

I would prefer for Julia ml libraries to become mainstream. But, it is what it is.

Also, the ideal for me would be Rust for tensorflow, but the slower compile times (didn't compare with Swift) are an impediment for an iterative workflow such as tweaking models.

I hope all the work being done on improving incremental compilation[a] and developing interactive Rust REPLs like evcxr[b] makes using Rust for AI a practical reality.

[a] https://doc.rust-lang.org/edition-guide/rust-2018/the-compil...

[b] https://github.com/google/evcxr