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. The optimisation algorithms in the current version are based on the Alternating Direction Method of Multipliers (ADMM) or on the Fast Iterative Shrinkage-Thresholding Algorithm (FISTA).
Release history Release notifications
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|sporco-0.1.10-py2-none-any.whl (4.4 MB) Copy SHA256 hash SHA256||Wheel||py2|
|sporco-0.1.10-py3-none-any.whl (4.4 MB) Copy SHA256 hash SHA256||Wheel||py3|
|sporco-0.1.10.tar.gz (4.3 MB) Copy SHA256 hash SHA256||Source||None|