There are 0 repository under proximal-operators topic.
Proximal operators for nonsmooth optimization in Julia
Proximal algorithms for nonsmooth optimization in Julia
A Python convex optimization package using proximal splitting methods
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
A Julia package for manipulation of univariate piecewise quadratic functions.
MATLAB implementations of a variety of machine learning/signal processing algorithms.
Primal-Dual Solver for Inverse Problems
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
Test Cases for Regularized Optimization
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks
A Python package which implements the Elastic Net using the (accelerated) proximal gradient method.
An efficient GPU-compatible library built on PyTorch, offering a wide range of proximal operators and constraints for optimization and machine learning tasks.
CoCaIn BPG escapes Spurious Stationary Points
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.
Fortran code implementing Newton-like algorithms for proximal mapping of total variation.