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. 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 files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size sporco-0.1.12-py2-none-any.whl (4.4 MB) | File type Wheel | Python version py2 | Upload date | Hashes View hashes |
| Filename, size sporco-0.1.12-py3-none-any.whl (4.4 MB) | File type Wheel | Python version py3 | Upload date | Hashes View hashes |
| Filename, size sporco-0.1.12.tar.gz (4.4 MB) | File type Source | Python version None | Upload date | Hashes View hashes |
