canonical-polyadic

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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

MaksimEkin / RFoT

Star

Random Forest of Tensors (RFoT) is a tensor decomposition based ensemble semi-supervised classifier.

machine-learning clustering cybersecurity classification semi-supervised-learning malware-analysis factorization cpd tensors tensor-decomposition latent-variables canonical-polyadic

Updated
Python

RodniO / multiplication-tensor-approximation

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Algorithm for finding discrete approximations of small multiplication tensors.

tensor alternating-least-squares fast-multiplication canonical-polyadic

Updated
Fortran

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