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annotated_deep_learning_paper_implementations
annotated_deep_learning_paper_implementations PublicForked from labmlai/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cycleg…
Jupyter Notebook
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aima-python
aima-python PublicForked from aimacode/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Jupyter Notebook
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cumf_sgd
cumf_sgd PublicForked from cuMF/cumf_sgd
CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)
C++
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How_to_optimize_in_GPU
How_to_optimize_in_GPU PublicForked from Liu-xiandong/How_to_optimize_in_GPU
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…
Cuda
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TurboBFS
TurboBFS PublicForked from pcdslab/TurboBFS
A highly scalable GPU-based set of top-down and bottom-up BFS algorithms in the language of linear algebra.
C
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