Skip to main content

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).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sporco-0.1.5.tar.gz (4.4 MB view hashes)

Uploaded Source

Built Distributions

sporco-0.1.5-py3.5.egg (4.6 MB view hashes)

Uploaded Source

sporco-0.1.5-py3.4.egg (4.6 MB view hashes)

Uploaded Source

sporco-0.1.5-py2.7.egg (4.6 MB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page