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Low Rank Approximation Techniques Project ( ❛ ͜ʖ ❛ )

A project for the course Low-rank Approximation Techniques.

le chat + le Big Ben = le chat dans le Big Ben

Code:

  • The notebook main.ipynb contain all runnable code and output all the figures. Change the number of the images in the main to chose which original images you want to use.
  • The python file sinkhorn.py contain the main function Sinkhorn for the sinkhorn algorithm and variations.
  • The python file builders.py contain the builders functions used to manipulate images and initialize parameters of Sinkhorn.

Dependencies:

  • Numpy
  • Matplotlib
  • Sikit-Learn

Main references:

low_rank_approximation_techniques_project's People

Contributors

armelle-h avatar benoit-muller avatar

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low_rank_approximation_techniques_project's Issues

Divergence des scalling vectors de Sinkhorn()

Les scalling vectors u et v retournés par sinkhorn() ont l'air de diverger: l'un tends vers zero, l'autre vers l'infini. Voir les tests dans run.py.
-> en rapport avec le fait qu'il sont unique à multiplication près uniquement.

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