Nim has also a powerful deep learning library called Arraymancer. It's selling point is that you don't have to rewrite your code from research to production. It

Nim has also a powerful deep learning library called Arraymancer. It's selling point is that you don't have to rewrite your code from research to production. It's used in various machine learning projects, but one recent one that caught my eye was https://github.com/amkrajewski/nimCSO https://github.com/amkrajewski/nimCSO "Composition Space Optimization" https://github.com/mratsim/Arraymancer https://github.com/mratsim/Arraymancer