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Sparse Optimisation Research Code: A Python package for sparse coding and dictionary learning

Project 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).

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Files for sporco, version 0.1.2
Filename, size File type Python version Upload date Hashes
Filename, size sporco-0.1.2-py2.7.egg (4.0 MB) File type Egg Python version 2.7 Upload date Hashes View
Filename, size sporco-0.1.2-py3.4.egg (4.0 MB) File type Egg Python version 3.4 Upload date Hashes View
Filename, size sporco-0.1.2-py3.5.egg (4.0 MB) File type Egg Python version 3.5 Upload date Hashes View
Filename, size sporco-0.1.2.tar.gz (2.2 MB) File type Source Python version None Upload date Hashes View

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