positive-definite-matrices

Here are 6 public repositories matching this topic...

pyRiemann / pyRiemann

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

python machine-learning statistics time-series signal-processing image-processing eeg remote-sensing brain-computer-interface covariance-matrix positive-definite-matrices covariance-estimation riemannian-geometry radar-image symmetric-matrices hermitian-matrices

Updated
Python

lezcano / geotorch

Star

Constrained optimization toolkit for PyTorch

pytorch constrained-optimization invertible-neural-networks positive-definite-matrices manifold-optimization low-rank positive-semi-definite orthogonality

Updated
Python

JuliaStats / PDMats.jl

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Uniform Interface for positive definite matrices of various structures

julia linear-algebra positive-definite-matrices

Updated
Julia

👁 PosDefManifold.jl

Marco-Congedo / PosDefManifold.jl

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A Julia package for manipulating data in the Riemannian Manifold of Positive Definite Matrices

distance manifold procrustes covariance-matrix geodesic laplacian positive-definite-matrices hermitian riemannian-geometry

Updated
Julia

ActurialCapital / synthetica

Sponsor

Star

Generate synthetic time series data.

time-series statistical-models positive-definite-matrices synthetic-data cholesky-decomposition

Updated
Python

incrementaliser / CholeskyDecompositionHilbertMatrix

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Cholesky decomposition for Hilbert matrix of any order in Python 3 (Two programs)

python numpy matrix python3 matrix-factorization scipy numerical-methods matrix-decompositions linalg cholesky positive-definite-matrices numerical-linear-algebra cholesky-decomposition symmetric-matrix hilbert-matrix computational-linear-algebra matrix-decomposition

Updated
Python

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