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That’s terribly interesting, given that this popped up too very recently: https://www.stochasticlifestyle.com/engineering-trade-offs-in-automatic-differentiatio
by baggiponte 5y ago
That’s terribly interesting, given that this popped up too very recently: https://www.stochasticlifestyle.com/engineering-trade-offs-in-automatic-differentiation-from-tensorflow-and-pytorch-to-jax-and-julia/ https://www.stochasticlifestyle.com/engineering-trade-offs-i...
However, while they speak of ML they refer only to deep learning, and I was wondering where Julia stands in terms of scikit-learn equivalents and if they ever took off.
- sanxiyn 5y agoThere is ScikitLearn.jl if you want a literal port, and MLJ.jl if you want a spiritual one.
- sundarurfriend 5y agoDo you know how much MLJ.jl is used out in the wild and how well it is maintained? I don't see it coming up much in discussions in, for eg., the Julia Zulip or Discourse forums, not nearly as much as Flux for example. It may just be that it's outside my visibility bubble, but the only context I see it mentioned is similar to this where someone mentions it as an available option.
- thetwentyone 5y agoI've used MLJ for some small projects at work without issue.
- adgjlsfhk1 5y agoI think a lot of the answer is that MLJ is pretty stable, and works so there's a lot less discussion of it. Discussion indicates a combination of interest and complexity.
- sundarurfriend 5y agoThanks, that's really good to know.