Sparse Optimisation Research Code: A Python package for sparse coding and dictionary learning
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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|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|sporco-0.1.6-py2.7.egg (4.6 MB) Copy SHA256 Checksum SHA256||2.7||Egg||May 22, 2017|
|sporco-0.1.6-py3.4.egg (4.6 MB) Copy SHA256 Checksum SHA256||3.4||Egg||May 22, 2017|
|sporco-0.1.6-py3.5.egg (4.6 MB) Copy SHA256 Checksum SHA256||3.5||Egg||May 22, 2017|
|sporco-0.1.6.tar.gz (4.4 MB) Copy SHA256 Checksum SHA256||–||Source||May 22, 2017|