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Accelerated sparse representations and compressive sensing

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

Documentation | Code | Issues | Discussions | Sparse-Plex

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