sparse-coding

Sparse Optimisation Research Code

Convolution dictionary learning for time-series

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

A MATLAB toolbox for classifier: Version 1.0.7

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

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

geometry processing and shape analysis framework

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge

Face Recognition in real-world images [ICASSP 2017]

L1-regularized least squares with PyTorch

Regularized K-SVD Algorithm

Dictionary Learning for image processing

C and MATLAB implementation of CS recovery algorithm, i.e. Orthogonal Matching Pursuit, Approximate Message Passing, Iterative Hard Thresholding Algorithms

ListLBM is a sparse lattice Boltzmann solver for multiphase flow in porous media

The project is an OpenCV based C++ implementation of the paper 'Abnormal Event Detection at 150FPS in Matlab'

Experimental implementation for a sparse-dictionary based version of the VQ-VAE2 paper

Point cloud completion tool based on dictionary learning. Takes a PCL point cloud surface and fills in gaps or densifies sparse regions by learning from the various surface features of the cloud. This is done using a variation of the k-SVD dictionary learning algorithm that allows for continuous atoms and dealing with unstructured point cloud data. Written in Qt C++, using Eigen, OpenMP, and OpenGL.

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

An implementation of Olshausen and Field (96) in PyTorch