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non-negative-tensor-factorization

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neel-dey / robustNTF

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PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction and Functional Statistics to Understand Fixation in Fluorescence Microscopy".

pytorch tensor-factorization robust-optimization nonnegativity-constraints non-negative-matrix-factorization parafac beta-divergence majorize-minimization l21-norm non-negative-tensor-factorization
  • Updated Nov 12, 2023
  • Jupyter Notebook

lanl / pyCP_APR

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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 Dec 18, 2023
  • Python

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