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matrix-completion

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Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

  • Updated May 7, 2024
  • Python

A project performing gradient descent and stochastic average gradient descent for matrix completion. The algorithms are tested on some synthetic data before being used on downscaled real X-ray absorption data from a spectromicroscopy experiment. The algorithms' behaviours and outputs are examined in the report.

  • Updated May 30, 2023
  • Jupyter Notebook

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