hello, i’m new to data-science 👋 I’m wondering how Clojure is doing with ML, given everything unfolding in ecosystem. anything similar to Elixir’s https://github.com/elixir-nx/bumblebee in Clojure, that let’s you use pre-trained models? similarly, what’s the go to library for working on neural networks? Elixir, for example, has https://github.com/elixir-nx/axon. I opt for Clojure when possible! Elixir’s efforts were just easier to delineate for me, so I would appreciate if someone with more experience can fill me as I would like to track future developments.

It depends on the subdomain of machine learning you care about. In terms of simpler models such xgboost or elastic net Clojure is fine. For exactly what you typed above in some cases deep diamond will work and in other cases https://github.com/scicloj/clj-djl will work.

The latter requires you to at least somewhat understand how the parent library, djl works.