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Algorithms for Sparse and Redundant Representations

Project description

This library aims to provide XLA/JAX based Python implementations for various algorithms related to:

  • Sparse approximation

  • Compressive sensing

  • Dictionary learning

Included sparse recovery algorithms:

  • Orthogonal matching pursuit

  • Compressive sampling matching pursuit

The library also provides

  • Various simple dictionaries and sensing matrices

  • Sample data generation utilities

  • Framework for evaluation of sparse recovery algorithms

Project details


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cr-sparse-0.1.0.macosx-10.9-x86_64.tar.gz (35.5 kB view hashes)

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