proximal-operators
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Matlab and Python toolbox for fast Total Variation proximity operators
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Feb 20, 2020 - C++
Proximal operators for nonsmooth optimization in Julia
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Oct 27, 2023 - Julia
Proximal algorithms for nonsmooth optimization in Julia
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Jan 5, 2025 - Julia
Scientific Computational Imaging COde
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Mar 25, 2025 - Python
A Python convex optimization package using proximal splitting methods
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Aug 18, 2023 - Python
A Matlab convex optimization toolbox using proximal splitting methods
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Oct 12, 2023 - MATLAB
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
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Nov 20, 2018 - MATLAB
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, ...)
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Oct 17, 2023 - Python
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
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Jul 19, 2021 - Julia
A Julia package for manipulation of univariate piecewise quadratic functions.
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Jul 19, 2021 - Julia
Primal-Dual Solver for Inverse Problems
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Mar 24, 2021 - Python
MATLAB implementations of a variety of machine learning/signal processing algorithms.
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Aug 24, 2016 - MATLAB
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
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Jun 21, 2022 - Python
Test Cases for Regularized Optimization
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Dec 14, 2024 - Julia
Hybrid Approach to Sparse Group Fused Lasso
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Sep 7, 2021 - C++
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
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Jun 21, 2022 - Python
A Python package which implements the Elastic Net using the (accelerated) proximal gradient method.
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Nov 7, 2016 - Python
An efficient GPU-compatible library built on PyTorch, offering a wide range of proximal operators and constraints for optimization and machine learning tasks.
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Oct 9, 2023 - Python
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