Matlab and Python toolbox for fast Total Variation proximity operators
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Feb 20, 2020 - C++
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proximal-operators
Here are 26 public repositories matching this topic...
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
machine-learning big-data algorithms optimization machine-learning-algorithms solver lasso logistic-regression gradient-descent support-vector-machines admm proximal-algorithms proximal-operators sparse-regression optimization-algorithms matrix-completion elasticnet lasso-regression coordinate-descent sparse-linear-solver
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Nov 20, 2018 - MATLAB
A Python convex optimization package using proximal splitting methods
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Aug 18, 2023 - Python
Proximal operators for nonsmooth optimization in Julia
optimization julia julia-language admm proximal-algorithms proximal-operators prox numerical-optimization nonlinear-programming first-order-methods nonsmooth-optimization
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Oct 27, 2023 - Julia
Proximal algorithms for nonsmooth optimization in Julia
machine-learning optimization julia admm optimal-control proximal-algorithms proximal-operators numerical-optimization optimization-algorithms nonlinear-programming nonsmooth-optimization proximal-gradient-method
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Jan 5, 2025 - Julia
A Matlab convex optimization toolbox using proximal splitting methods
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Oct 12, 2023 - MATLAB
Scientific Computational Imaging COde
optimization admm proximal-algorithms proximal-operators inverse-problems convex-optimization computational-imaging fista total-variation jax plug-and-play-priors
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Mar 5, 2025 - Python
Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
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Mar 31, 2020 - Python
Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Chambolle & Pock, ...)
tomography proximal-operators computed-tomography totalvariation total-variation total-variation-minimization chambolle-pock admm-algorithm total-variation-loss
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Oct 17, 2023 - Python
Test Cases for Regularized Optimization
optimization julia proximal-algorithms proximal-operators proximal-regularization test-problems proximal-gradient-method
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Dec 14, 2024 - Julia
Primal-Dual Solver for Inverse Problems
python segmentation reconstruction proximal-operators inverse-problems total-variation bregman-projection primal-dual-algorithm
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Mar 24, 2021 - Python
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
machine-learning signal-processing matrix-factorization proximal-algorithms proximal-operators optimization-algorithms nmf matrix-completion matrix-decompositions non-negative-matrix-factorization nmf-decomposition non-convex-optimization
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Jun 21, 2022 - Python
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
optimization julia julia-language constrained-optimization admm proximal-algorithms proximal-operators prox convex-optimization piecewise first-order-methods convex quadratic first-order linearly-separable nonsmooth-optimization admm-algorithm piecewise-quadratic separable-optimization linearly-constrained
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Jul 19, 2021 - Julia
MATLAB implementations of a variety of machine learning/signal processing algorithms.
machine-learning algorithm ml gradient-descent backpropagation-learning-algorithm proximal-algorithms proximal-operators backpropagation algorithms-implemented matrix-completion backpropagation-algorithm gradient-descent-algorithm stochastic-gradient-descent matlab-implementations signal-processing-algorithms partial-sampling
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Aug 24, 2016 - MATLAB
Hybrid Approach to Sparse Group Fused Lasso
segmentation proximal-operators sparse-regression convex-optimization hybrid-algorithms multivariate-timeseries fused-lasso fixed-point-iteration
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Sep 7, 2021 - C++
A Julia package for manipulation of univariate piecewise quadratic functions.
optimization julia julia-language convex-hull proximal-operators prox convex-optimization piecewise convex quadratic piecewise-quadratic
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Jul 19, 2021 - Julia
A Python package which implements the Elastic Net using the (accelerated) proximal gradient method.
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Nov 7, 2016 - Python
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.
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Jan 30, 2023 - Julia
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks
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Mar 23, 2021 - MATLAB
CoCaIn BPG escapes Spurious Stationary Points
machine-learning computer-vision signal-processing proximal-algorithms proximal-operators non-convex-optimization
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Jun 21, 2022 - Python
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