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conda-forge.org : sporco
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. The optimisation algorithms in the current version are based on the Alternating Direction Method of Multipliers (ADMM) or on the Proximal Gradient Method (PGM).
Registry
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Source
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purl: pkg:conda/sporco
Keywords: admm, convolutional-dictionary-learning, convolutional-sparse-coding, cuda, dictionary-learning, fista, optimization, optimization-algorithms, plug-and-play-priors, python, robust-pca, sparse-coding, sparse-representations, sparsity, total-variation, total-variation-minimization
License: BSD-3-Clause
Latest release: over 1 year ago
First release: over 5 years ago
Stars: 222 on GitHub
Forks: 37 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 15 days ago