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Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: Sparse matrix processing is an important computational kernel widely applied in various fields such as graph processing, and big data analysis. In many applications, sparse matrix processing ...

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Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

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The command "get_adjacency_sparse" does not return a sparse matrix (i.e., csr_matrix) instead it returns an igraph matrix object. However the documentation mentions that a csr_matrix should be ...