Annotated deep learning paper implementations

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This is a bunch of deep learning paper implementation in PyTorch with side-by-side notes (math and diagrams too). We started this project about a year ago and have been adding new paper implementations almost weekly, and have 46 paper implementations now.


There's unfortunately not much to read here yet...

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