Versions

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).

Repository

https://github.com/bwohlberg/sporco.git

Project Slug

sporco

Last Built

3 days, 5 hours ago passed

Maintainers

Home Page

https://github.com/bwohlberg/sporco.git

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Tags

admm, convolutional-dictionary-learning, convolutional-sparse-coding, cuda, dictionary-learning, fista, optimization, optimization-algorithms, python, robust-pca, sparse-coding, sparse-representations, sparsity, total-variation, total-variation-minimization

Short URLs

sporco.readthedocs.io
sporco.rtfd.io

Default Version

latest

'latest' Version

master