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GitHub topics: proximal-operators

lanl/scico

Scientific Computational Imaging COde

Language: Python - Size: 2.29 MB - Last synced at: 7 days ago - Pushed at: 11 days ago - Stars: 131 - Forks: 18

JuliaFirstOrder/ProximalAlgorithms.jl

Proximal algorithms for nonsmooth optimization in Julia

Language: Julia - Size: 6.04 MB - Last synced at: 6 days ago - Pushed at: 15 days ago - Stars: 133 - Forks: 22

JuliaFirstOrder/PiecewiseQuadratics.jl

A Julia package for manipulation of univariate piecewise quadratic functions.

Language: Julia - Size: 267 KB - Last synced at: 22 days ago - Pushed at: almost 4 years ago - Stars: 18 - Forks: 1

JuliaSmoothOptimizers/RegularizedProblems.jl

Test Cases for Regularized Optimization

Language: Julia - Size: 566 KB - Last synced at: 20 days ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 7

albarji/proxTV

Matlab and Python toolbox for fast Total Variation proximity operators

Language: C++ - Size: 7.22 MB - Last synced at: 13 days ago - Pushed at: over 5 years ago - Stars: 229 - Forks: 60

tum-vision/learn_prox_ops

Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"

Language: Python - Size: 35 MB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 47 - Forks: 14

qntwrsm/ProximalMethods.jl

Provides proximal operator evaluation routines and proximal optimization algorithms, such as (accelerated) proximal gradient methods and alternating direction method of multipliers (ADMM), for non-smooth/non-differentiable objective functions.

Language: Julia - Size: 178 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

JuliaFirstOrder/SeparableOptimization.jl

A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.

Language: Julia - Size: 220 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 25 - Forks: 4

JuliaFirstOrder/ProximalOperators.jl

Proximal operators for nonsmooth optimization in Julia

Language: Julia - Size: 2.13 MB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 134 - Forks: 26

zevwoodstock/AsyncProx

Asynchronous implementation of a Projective Splitting algorithm in Julia

Language: Julia - Size: 3.88 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

epfl-lts2/unlocbox

A Matlab convex optimization toolbox using proximal splitting methods

Language: MATLAB - Size: 4.22 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 53 - Forks: 18

epfl-lts2/pyunlocbox

A Python convex optimization package using proximal splitting methods

Language: Python - Size: 4.13 MB - Last synced at: 19 days ago - Pushed at: almost 2 years ago - Stars: 111 - Forks: 26

jameschapman19/proxtorch

An efficient GPU-compatible library built on PyTorch, offering a wide range of proximal operators and constraints for optimization and machine learning tasks.

Language: Python - Size: 429 KB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

XIRZC/trpca.exp

Codes of `Tensor Robust Principal Component Analysis` expreiments. Besides, this repo is for my own convex optimization assignments, so do not copy for your assignments !!!

Language: MATLAB - Size: 57.4 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

eboigne/PyTV-4D

Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Chambolle & Pock, ...)

Language: Python - Size: 4.01 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 6

ddegras/sparseGFL

Hybrid Approach to Sparse Group Fused Lasso

Language: C++ - Size: 2.98 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

buntonj/TVproximal

Fortran code implementing Newton-like algorithms for proximal mapping of total variation.

Language: Fortran - Size: 232 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

hiroyuki-kasai/SparseGDLibrary

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

Language: Matlab - Size: 22.3 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 41 - Forks: 27

aldma/OptiMo.jl 📦

Modeling language and tools for constrained, structured optimization problems

Language: Julia - Size: 13.7 KB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

lucasplagwitz/recon

Primal-Dual Solver for Inverse Problems

Language: Python - Size: 39.3 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 3

clarkzinzow/Machine-Learning-and-Signal-Processing-Algorithms

MATLAB implementations of a variety of machine learning/signal processing algorithms.

Language: Matlab - Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: almost 9 years ago - Stars: 8 - Forks: 4

mmahesh/cocain-bpg-matrix-factorization

New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB

Language: Python - Size: 4.59 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 4

ngmarchant/prox_elasticnet

A Python package which implements the Elastic Net using the (accelerated) proximal gradient method.

Language: Python - Size: 463 KB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 3 - Forks: 0

mmahesh/cocain-bpg-escapes-spurious-stationary-points

CoCaIn BPG escapes Spurious Stationary Points

Language: Python - Size: 5.99 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

Related Keywords
proximal-operators 24 proximal-algorithms 14 optimization 9 julia 8 convex-optimization 7 machine-learning 6 optimization-algorithms 5 nonsmooth-optimization 5 admm 5 admm-algorithm 3 total-variation 3 inverse-problems 3 matrix-completion 3 signal-processing 3 prox 3 julia-language 3 proximal-gradient-descent 2 first-order-methods 2 segmentation 2 proximal-regularization 2 quadratic 2 piecewise-quadratic 2 gradient-descent 2 nonlinear-programming 2 numerical-optimization 2 non-convex-optimization 2 proximal-gradient-method 2 convex 2 sparse-regression 2 piecewise 2 algorithm 1 reconstruction 1 python 1 primal-dual-algorithm 1 bregman-projection 1 support-vector-machines 1 sparse-linear-solver 1 coordinate-descent 1 solver 1 elasticnet 1 lasso 1 machine-learning-algorithms 1 logistic-regression 1 lasso-regression 1 computer-vision 1 scikit-learn 1 elastic-net 1 non-negative-matrix-factorization 1 nmf-decomposition 1 nmf 1 matrix-factorization 1 matrix-decompositions 1 stochastic-gradient-descent 1 signal-processing-algorithms 1 partial-sampling 1 ml 1 matlab-implementations 1 gradient-descent-algorithm 1 backpropagation-learning-algorithm 1 backpropagation-algorithm 1 backpropagation 1 algorithms-implemented 1 big-data 1 projective-splitting 1 asynchronous 1 separable-optimization 1 linearly-separable 1 linearly-constrained 1 first-order 1 constrained-optimization 1 denoising-networks 1 deep-learning 1 convolutional-neural-networks 1 test-problems 1 convex-hull 1 optimal-control 1 plug-and-play-priors 1 jax 1 fista 1 computational-imaging 1 algorithms 1 total-variational-denoising 1 fortran 1 multivariate-timeseries 1 hybrid-algorithms 1 fused-lasso 1 fixed-point-iteration 1 totalvariation 1 total-variation-minimization 1 total-variation-loss 1 tomography 1 computed-tomography 1 chambolle-pock 1 tensor-robust-pca 1 robust-pca 1 background-subtraction 1 proximal-operator 1