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  1. annotated_deep_learning_paper_implementations annotated_deep_learning_paper_implementations Public

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    🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cycleg…

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  4. How_to_optimize_in_GPU How_to_optimize_in_GPU Public

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    This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, s…

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    A highly scalable GPU-based set of top-down and bottom-up BFS algorithms in the language of  linear algebra.

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