nx

Professionally, I'm working on extending Nx, the Elixir ML framework which I help maintain, for distributed and sharded computing. Should have an working v0 by December! GitHub for the project: https://github.com/elixir-nx/nx As a side-project, I've been diving back into hardware. Fixed/modded a crappy guitar amplifier I had into a great amp, and the next project in line will be a new version of a digital synth I designed a fey years back

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: - 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