Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
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Updated
Apr 17, 2025 - Python
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
Constrained optimization toolkit for PyTorch
Uniform Interface for positive definite matrices of various structures
A Julia package for manipulating data in the Riemannian manifold of positive definite matrices
Cholesky decomposition for Hilbert matrix of any order in Python 3 (Two programs)
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