There are 1 repository under proximal-algorithms topic.
The Advanced Proximal Optimization Toolbox
Proximal algorithms for nonsmooth optimization in Julia
Proximal operators for nonsmooth optimization in Julia
A Python convex optimization package using proximal splitting methods
Official code repository for ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization (SIGGRAPH TOG 2023)
PyProximal – Proximal Operators and Algorithms in Python
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
Iterative shrinkage / thresholding algorithms (ISTAs) for linear inverse problems
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.
Proximal Nested Sampling for high-dimensional Bayesian model selection
A small library implementing phase retrieval algorithms for 2D images.
Cut-pursuit with preconditioned forward-Douglas-Rachford for regularization of classical functionals by graph total variation
Topics in Signal Processing
MATLAB implementations of a variety of machine learning/signal processing algorithms.
Coordinate and Incremental Aggregated Optimization Algorithms
Solving inverse problems with Proximal Markov Chain Monte Carlo
Bazinga.jl: a toolbox for constrained composite optimization
Proximal operators for use with RegularizedOptimization
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
Proximal-point methods for machine learning
A Python implementation of Goldstein et. al's FASTA algorithm for convex optimization.
Test Cases for Regularized Optimization
Fast Inertial Algorithm for Phase Retrieval
Implementation of Collective Matrix Completion by Mokhtar Z. Alaya and Olga Klopp https://arxiv.org/abs/1807.09010
Nonnegative Tensor Decomposition
Q. Yao, J. Xu, W. Tu, Z. Zhu. Efficient Neural Architecture Search via Proximal Iterations. AAAI 2020.
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.