Sparse Optimisation Research Code

python sparsity optimization cuda admm sparse-coding dictionary-learning optimization-algorithms robust-pca fista convolutional-sparse-coding total-variation sparse-representations convolutional-dictionary-learning total-variation-minimization plug-and-play-priors

• Updated Nov 18, 2025
• Python

Official implementation of PointBeV: A Sparse Approach to BeV Predictions

driving segmentation autonomous-driving sparse-coding birdeyeview

• Updated Mar 7, 2024
• Python

Convolution dictionary learning for time-series

meg sparse-coding dictionary-learning convolutional-sparse-coding nips-2017 neurips-2018

• Updated Oct 1, 2026
• Python

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

image-reconstruction julia lasso mirt mri tomography sparse-coding inverse-problems optimization-algorithms k-space nufft sinogram

• Updated Jul 21, 2026
• Julia

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

python image-processing pursuit sparse-coding dictionary-learning image-denoising sparse-representations k-svd dct-dictionary haar-dictionary

• Updated Apr 12, 2025
• Python

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

• Updated Jan 5, 2023
• MATLAB

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

• Updated Aug 22, 2022
• Python

[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

• Updated Dec 31, 2021
• Python

geometry processing and shape analysis framework

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

• Updated Sep 23, 2026
• C++

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

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

• Updated Feb 9, 2026
• Jupyter Notebook

L1-regularized least squares with PyTorch

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

• Updated Feb 19, 2023
• Python

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

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

• Updated Jul 6, 2023
• Jupyter Notebook

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

• Updated Sep 2, 2022
• C

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

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

• Updated Apr 28, 2017
• MATLAB

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

• Updated Jul 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

• Updated Feb 1, 2023
• C++

Face Recognition in real-world images [ICASSP 2017]

python opencv face-recognition landmarks sparse-coding rsc real-world-images lfw icassp

• Updated Feb 27, 2017
• Python

Dictionary Learning for image processing

machine-learning signal-processing image-processing segmentation sparse-coding dictionary-learning inpainting denoising

• Updated Feb 15, 2021
• Python

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

sparse-coding vqvae

• Updated Oct 27, 2023
• Python

A curated reading list of research in Sparse Autoencoders, Feature Extraction and related topics in Mechanistic Interpretability

sparse-coding interpretability mechanistic-interpretability

• Updated Jan 30, 2025