PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
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Updated
Apr 29, 2024 - Python
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
Sparse multi-dimensional arrays for the PyData ecosystem
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High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
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👀 Visualization for SciPy sparse matrices.
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A Modern Fortran sparse matrices gallery
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