candecomp-parafac

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lanl / pyCP_APR

CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.

gpu numpy pytorch cybersecurity sparse tensor-factorization cpd tensors tensor-decomposition poisson-distribution latent-features anomaly-detection dense sparse-tensors non-negative-tensor-factorization candecomp-parafac canonical-polyadic dense-tensors

Updated
Python

AnnabelleGillet / MuLOT

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Implementation of tensor decompositions in Scala

scala spark tensor tensor-decomposition candecomp-parafac

Updated
Scala

wangdeqing / Nonnegative_Tensor_Decomposition

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Nonnegative Tensor Decomposition

proximal-algorithms optimization-algorithms sparse-regularization candecomp-parafac nonnegative-tensor-decomposition

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MATLAB

wangdeqing / Inexact_Alternating_Proximal_Gradient

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An inexact alternating proximal gradient algorithm for nonnegative CP tensor decomposition

algorithms tensor-decomposition candecomp-parafac nonnegative-tensor-decomposition alternating-proximal-gradient

Updated
MATLAB

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