Urg that website is so incredibly out of date.
Julia has amazing things for autodiff.
But like not the things listed on that website.
Also python is still doing great with Jax and PyTorch.
Also python is still doing great with Jax and PyTorch.
I don't know much about Jax. I've seen competent benchmarks showing an order of magnitude benefit for using ReverseDiff from the AutoDiff suite over Autograd, which is what Pytorch uses for reverse-mode autodiff
It really should be updated to have basically the content of this thread https://discourse.julialang.org/t/state-of-automatic-differe...