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 (PGM).
Metadata
Release files for sporco 0.2.2.post1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sporco-0.2.2.post1.tar.gz | 4.4 MB | Without provenance | Details for sporco-0.2.2.post1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sporco-0.2.2.post1-py3-none-any.whl | Python 3 | none | any | Details for sporco-0.2.2.post1-py3-none-any.whl |
Total release size: 8.9 MB
Release files / sporco-0.2.2.post1.tar.gz
| Download URL | sporco-0.2.2.post1.tar.gz |
|---|---|
| Size | 4.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.7
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Release files / sporco-0.2.2.post1-py3-none-any.whl
| Download URL | sporco-0.2.2.post1-py3-none-any.whl |
|---|---|
| Size | 4.5 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Security for sporco 0.2.2.post1
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