avilay

  1. Distributed Reinforcement Learning with RLLib
  2. Distributed Deep Learning with PyTorch
  3. Reinforcement Learning with PyTorch
  4. Linear Algebra for ML with numpy
  5. Other (please specify)

I like to teach what I learn and have a few tutorials up on YouTube. I need your help in figuring what should I put up next.

Hello HN community - for the past year or so I have been plugging away on a side project called torchutils (https://gitlab.com/avilay/torchutils). It'd be great if you could take it for a spin when training your next ML model and give me some feedback. Here are the detailed docs (https://avilay.gitlab.io/torchutils/)

I am an ML engineer and have my own workflow that I use now and an aspirational workflow that I want to use. But I was curious how other ML engineers make this call. Here are some options to kickstart your thinking: a) Release it if it performs well in offline training b) A/B test in production alongside existing model(s) c) Use contextual bandits in production d) Some other way (details appreciated :-) )