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
1 year, 3 months ago passed
Maintainers
Home Page
https://github.com/bwohlberg/sporco.git
Badge
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
