Show HN: Keep your PyTorch model in VRAM by hot swapping code

3 days ago (github.com)

We use python notebooks for that functionality in the early stages of script testing. Load a cell up top with the model, then do your stuff below, and once things look good convert it to a normal python script.

Tensor visualizer app itself already looks pretty interesting

  • Thanks, I will do a deep writeup on that at some point.

    • Are you running both DearImGui visualisation and training locally? If not, how can one use it in the client-server mode? I think this is the most common requirement for visualisation libraries in Deep Learning.

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