Since you wrote "using something other than Python" and not necessarily only Ruby, definitely look into Livebook and Elixir, and the whole ecosystem around it, including:
Very interesting, thanks for sharing! I didn't know Elixir was so invested in Machine Learning. I have a background in Erlang so I'll definitely dive in. Do you know of any individuals / companies that have had success with Elixir+ML in production?
You welcome. Afaik it has been a long-time bet done by José Valim (former Rubyist & author of e.g. Devise) and others, this is not something that is going away anytime.
Each library has been building on top of the previous libraries & abstractions (including transpiling Elixir instructions into GPU code, see "defn" etc).
I am also starting to use ML + Elixir in production and I'm aware of other individuals doing so.
I do not have a registry of companies doing so, but we're seeing more and more experienced ML practitioners mentioning they are coming from Python and willing to try something different (e.g. https://elixirforum.com/t/data-science-and-machine-learning-... and other posts on Elixir Forum).
- https://github.com/elixir-nx/axon Nx-powered Neural Networks
- https://github.com/elixir-nx/nx Multi-dimensional arrays (tensors) and numerical definitions for Elixir
- https://github.com/elixir-nx/scholar Traditional machine learning on top of Nx
- https://github.com/elixir-nx/bumblebee Pre-trained Neural Network models in Axon (+ Models integration)
- https://github.com/elixir-explorer/explorer Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
- https://fly.io/blog/rethinking-serverless-with-flame/ (for offloading large work to remote containers)
- https://www.youtube.com/watch?v=RABXu7zqnT0 InstructorEx
And of course Livebook (https://livebook.dev)
Old but interesting video https://www.youtube.com/watch?v=g3oyh3g1AtQ (Bumblebee: GPT2, Stable Diffusion, and more in Elixir)
A talk on the upcoming Elixir conference (https://2024.elixirconf.com/schedule/#schedules) is actually titled "Livebook in the cloud: GPUs and clustered workflows in seconds".