It seems like an experimental research language.
Julia also competes in this domain from a more practical standpoint and has less limitations than JAX as I understand it, but is less mature and still working on getting wider traction.
Julia also competes in this domain from a more practical standpoint and has less limitations than JAX as I understand it, but is less mature and still working on getting wider traction.
Shameless plug for one of my talks at JuliaCon 2024: https://www.youtube.com/live/ZKt0tiG5ajw?t=19747s. The comparison between Python and Julia starts at 5:31:44.
Where do you feel Julia is at this point in time (compared to say, JAX or PyTorch) from a practitioner's standpoint?
I'm positive about Julia's future because the developer experience just feels so fun and productive. I always find it impressive how much a small group of self-organized volunteers has been able to achieve. Amazing things could happen if a company like Google or Meta paid a team of full-time engineers to advance the deep learning ecosystem. Fun fact: Julia strongly influenced PyTorch's recent design decisions [1].
[1]: https://dev-discuss.pytorch.org/t/where-we-are-headed-and-wh...