sparse-coding

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

computer-vision generative-model representation-learning sparse-coding hierarchical-models renormalization-group normalizing-flow

UpdatedAug 22, 2022
Python

hiroyuki-kasai /ClassifierToolbox

Star89

A MATLAB toolbox for classifier: Version 1.0.7

linear-regression pca classification src face-recognition support-vector-machines manifold sparse-coding dictionary-learning matlab-toolbox principal-component-analysis covariance-matrix eigenfaces linear-discriminant-analysis subspace spd classification-algorithims manifold-optimization symmetric-positive-definite

UpdatedJan 5, 2023
MATLAB

VITA-Group /ALISTA

Star78

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

machine-learning deep-learning lista sparse-coding sparse-reconstruction compressive-sensing

UpdatedDec 31, 2021
Python

rfeinman /pytorch-lasso

Star72

L1-regularized least squares with PyTorch

pytorch lasso least-squares sparse-coding dictionary-learning l1-regularization

UpdatedFeb 19, 2023
Python

larc /gproshan

Star69

geometry processing and shape analysis framework

opengl cpp cuda computational-geometry geometry-processing sparse-coding dictionary-learning shape-analysis

UpdatedMar 29, 2025
C++

hadivafaii /IterativeVAE

Star68

The Official PyTorch Implementation of "Brain-like Variational Inference" (NeurIPS 2025 Paper)

vae sparse-coding free-energy variational-inference predictive-coding

UpdatedFeb 9, 2026
Jupyter Notebook

Alfo5123 /Variational-Sparse-Coding

Star62

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

reproducible-research pytorch unsupervised-learning sparse-coding iclr variational-autoencoder disentangled-representations

UpdatedJul 6, 2023
Jupyter Notebook

pirofti /ksvd_reg

Star50

This repository has been moved tohttps://codeberg.org/pirofti/ksvd_reg. Please visit the new location for the latest updates.

machine-learning algorithms signal-processing sparse-coding dictionary-learning

UpdatedApr 28, 2017
MATLAB

NeuroFan /Compressive_Sensing_C_and_MATLAB

Star49

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

compressed-sensing amp sparse decomposition factorization sparse-coding omp matching-pursuit sparse-reconstruction compressive-sensing iht compressive

UpdatedSep 2, 2022
C

sorush-khajepor /listLBM

Star49

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

cfd sparse-matrix sparse-coding computational-fluid-dynamics lattice-boltzmann multiphase-flow porous-media fortran2008 porous multiphase shan-chen

UpdatedJul 7, 2020
Fortran

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 da…

machine-learning point-cloud sparse-coding inpainting point-cloud-processing ksvd point-cloud-reconstruction point-cloud-completion