The Advanced Proximal Optimization Toolbox

Proximal operators for nonsmooth optimization in Julia

Proximal algorithms for nonsmooth optimization in Julia

Proximal optimization in pure python

A Python convex optimization package using proximal splitting methods

Scientific Computational Imaging COde

Official code repository for ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization (SIGGRAPH TOG 2023)

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

PyProximal – Proximal Operators and Algorithms in Python

A Matlab convex optimization toolbox using proximal splitting methods

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

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

A small library implementing phase retrieval algorithms for 2D images.

Iterative shrinkage / thresholding algorithms (ISTAs) for linear inverse problems

Proximal Nested Sampling for high-dimensional Bayesian model selection

Cut-pursuit with preconditioned forward-Douglas-Rachford for regularization of classical functionals by graph total variation

Nonconvex Exterior Point Operator Splitting

Topics in Signal Processing

Coordinate and Incremental Aggregated Optimization Algorithms

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