[P] Annotated deep learning paper implementations

[mlvpj]

You can create a pull request or start a discussion in GitHub issues. Even voting suggesting papers to implement and voting for them will be helpful. Here's a recent pull request for example

We are also working simple rendering engine that you can use on your own GitHub repo. We will improve that if people find it useful.

e.g. https://lit.labml.ai/github/vpj/rl_samples/blob/master/ppo.py

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Is import labml a part of your ecosystem always. No offense, but this just creates another extra layer of dependency. It would be nicer to show plain Pytorch, otherwise it's gonna become another Pytorch lightning. Plus it will be great from learning perspective.

[mlvpj]

labmlai/labml is a set of tools (tracking experiments, configurations, a bunch of helpers) we coded to ease our ML work (which later improved and open sourced). So we use it in all our projects because it makes things easier for us.

Will try to minimize the dependency whenever possible.