Metadata-Version: 1.1
Name: sporco
Version: 0.1.2
Summary: Sparse Optimisation Research Code: A Python package for sparse coding and dictionary learning
Home-page: http://bwohlberg.github.io/sporco
Author: Brendt Wohlberg
Author-email: brendt@ieee.org
License: BSD
Description: 
        SPORCO is a Python package for solving optimisation problems with
        sparsity-inducing regularisation. These consist primarily of sparse
        coding and dictionary learning problems, including convolutional
        sparse coding and dictionary learning, but there is also support for
        other problems such as Total Variation regularisation and Robust
        PCA. In the current version all of the optimisation algorithms are
        based on the Alternating Direction Method of Multipliers (ADMM).
        
Keywords: Sparse Representations,Sparse Coding,Dictionary Learning,Convolutional Sparse Representations,Convolutional Sparse Coding,Optimization,ADMM
Platform: Any
Classifier: License :: OSI Approved :: BSD License
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
