The Advanced Proximal Optimization Toolbox

Proximal operators for nonsmooth optimization in Julia

Proximal algorithms for nonsmooth optimization in Julia

A Python convex optimization package using proximal splitting methods

Proximal optimization in pure python

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

A Matlab convex optimization toolbox using proximal splitting methods

PyProximal – Proximal Operators and Algorithms in Python

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

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

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.

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

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

Nonconvex Exterior Point Operator Splitting

Coordinate and Incremental Aggregated Optimization Algorithms

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

Topics in Signal Processing