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Sparse Optimisation Research Code

Alphacsc ⭐ 105

Convolution dictionary learning for time-series

Sparselandtools ⭐ 79

✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Pytorch Lasso ⭐ 39

L1-regularized least squares with PyTorch

Facerecognition ⭐ 36

Face Recognition in real-world images [ICASSP 2017]

A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions

Dictlearn ⭐ 14

Dictionary Learning for image processing

Sceneunderstanding_ciarp_2017 ⭐ 12

Sparse Representation ⭐ 10

Sparse representation solvers for P0- and P1-problems

Lca Pytorch ⭐ 8

Sparse coding in PyTorch via the Locally Competitive Algorithm (LCA)

Sparse Coding ⭐ 8

An implementation of Olshausen and Field (96) in PyTorch

Non Negative Sparse AutoEncoder (NNSAE). An efficient online learning scheme for non-negative and sparse coding in autoencoder neural networks.

Embeddersdr ⭐ 8

Embedder with binary sparse distributed representation.

An unsupervised compressed-sensing technique for fundamental objects selection

A Sparse Coding Based Approach For Class Specific Feature Selection ⭐ 8

A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.

Greedy Adaptive Dictionary ⭐ 7

Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.

Hybrid Function Sparse Representation ⭐ 6

Hybrid function sparse representation (HFSR) for super resolution

Tree Structured Group Lasso ⭐ 5

Python Implementation of Proximal Methods for Hierarchical Sparse Coding

Transform-Invariant Non-Negative Matrix Factorization

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