sparse-coding

alphacsc/alphacsc

Convolution dictionary learning for time-series

JeffFessler/MIRT.jl

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

fubel/sparselandtools

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

hongyehu/RG-Flow

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

hiroyuki-kasai/ClassifierToolbox

A MATLAB toolbox for classifier: Version 1.0.7

VITA-Group/ALISTA

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

rfeinman/pytorch-lasso

L1-regularized least squares with PyTorch

larc/gproshan

geometry processing and shape analysis framework

valeoai/PointBeV

Official implementation of PointBeV: A Sparse Approach to BeV Predictions

Alfo5123/Variational-Sparse-Coding

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

pirofti/ksvd_reg

Regularized K-SVD Algorithm

fonfonx/FaceRecognition

Face Recognition in real-world images [ICASSP 2017]

NeuroFan/Compressive_Sensing_C_and_MATLAB

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

codearxiv/PCReconstruct

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.

sorush-khajepor/listLBM

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

permfl/dictlearn

Dictionary Learning for image processing

amzn/sparse-vqvae

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

lpjiang97/sparse-coding

An implementation of Olshausen and Field (96) in PyTorch

kpandey008/Abnormal-Event-Detection

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

ml-uol/prosper

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

transbioZI/RMTL

Regularized Multi-task Learning in R

DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection

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

thtang/Sparse-Coding-for-Face-Image-Retrieval

work in Advanced Topics in Multimedia Analysis and Indexing

iemre/MRSR

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

kevtimova/deep-sparse

We introduce a way to extend sparse dictionary learning to deep architectures.

coolbay/Image-deblocking-SSRQC

Image deblocking method using structural sparse representation and quantization constraint

DavideNardone/Blind-Source-Separation-using-Dictionary-Learning

A model for Blind Source Separation using Dictionary Learning

dizcza/EmbedderSDR

Embedder with binary sparse distributed representation.

verlab/SceneUnderstanding_CIARP_2017

YangLiu9208/JSRDA

[IEEE T-CSVT 2019] Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition

yokoxue/HRP

Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. N. Lau and S. Cai, doi: 10.1109/TSP.2021.3093769.

DavideNardone/Greedy-Adaptive-Dictionary

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

thanh-isu/double-sparse-coding

Matlab code for learning doubly sparse dictionary on synthetic data. Details can be found in the paper "A Provable Approach for Double-Sparse Coding".

dizcza/sparse-representation

Sparse representation solvers for P0- and P1-problems

jsikyoon/tree-structured-group-lasso

Python Implementation of Proximal Methods for Hierarchical Sparse Coding