semvec/pypi-packages huggingface dataset:
sporco 0.2.2.post1
Sparse Optimisation Research Code: A Python package for sparse coding and dictionary learning
License: BSD-3-Clause
Keywords: Sparse Representations, Sparse Coding, Dictionary Learning, Convolutional Sparse Representations, Convolutional Sparse Coding, Optimization, ADMM, PGM


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).