proximal-operators

There are 0 repository under proximal-operators topic.

albarji / proxTV
Matlab and Python toolbox for fast Total Variation proximity operators
proximal-operators optimization-algorithms machine-learning signal-processing
Language:C++ 234
lanl / scico
Scientific Computational Imaging COde
computational-imaging inverse-problems optimization admm fista total-variation plug-and-play-priors jax convex-optimization proximal-algorithms proximal-operators
Language:Python 142
JuliaFirstOrder / ProximalAlgorithms.jl
Proximal algorithms for nonsmooth optimization in Julia
proximal-algorithms optimization julia nonsmooth-optimization proximal-operators admm machine-learning optimal-control optimization-algorithms proximal-gradient-method numerical-optimization nonlinear-programming
Language:Julia 138
JuliaFirstOrder / ProximalOperators.jl
Proximal operators for nonsmooth optimization in Julia
optimization proximal-algorithms proximal-operators julia julia-language admm prox nonsmooth-optimization first-order-methods numerical-optimization nonlinear-programming
Language:Julia 137
epfl-lts2 / pyunlocbox
A Python convex optimization package using proximal splitting methods
convex-optimization proximal-algorithms proximal-operators
Language:Python 118
epfl-lts2 / unlocbox
A Matlab convex optimization toolbox using proximal splitting methods
convex-optimization proximal-operators proximal-algorithms
Language:MATLAB 56
hiroyuki-kasai / SparseGDLibrary
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
optimization optimization-algorithms machine-learning-algorithms machine-learning big-data gradient-descent sparse-linear-solver sparse-regression lasso-regression lasso elasticnet solver algorithms admm proximal-algorithms proximal-operators logistic-regression matrix-completion coordinate-descent support-vector-machines
Language:MATLAB 55
tum-vision / learn_prox_ops
Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
convolutional-neural-networks deep-learning denoising-networks inverse-problems proximal-operators
Language:Python 47
eboigne / PyTV-4D
Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Chambolle & Pock, ...)
tomography totalvariation computed-tomography total-variation total-variation-loss total-variation-minimization proximal-operators admm-algorithm chambolle-pock
Language:Python 44
JuliaFirstOrder / SeparableOptimization.jl
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
optimization julia julia-language separable-optimization admm admm-algorithm proximal-operators proximal-algorithms prox convex-optimization piecewise convex quadratic piecewise-quadratic linearly-separable linearly-constrained constrained-optimization first-order first-order-methods nonsmooth-optimization
Language:Julia 28
JuliaFirstOrder / PiecewiseQuadratics.jl
A Julia package for manipulation of univariate piecewise quadratic functions.
piecewise quadratic optimization julia julia-language prox proximal-operators convex convex-hull convex-optimization piecewise-quadratic
Language:Julia 19
lucasplagwitz / recon
Primal-Dual Solver for Inverse Problems
inverse-problems total-variation bregman-projection reconstruction segmentation python primal-dual-algorithm proximal-operators
Language:Python 13
clarkzinzow / Machine-Learning-and-Signal-Processing-Algorithms
MATLAB implementations of a variety of machine learning/signal processing algorithms.
machine-learning algorithm matlab-implementations signal-processing-algorithms algorithms-implemented ml proximal-algorithms proximal-operators gradient-descent gradient-descent-algorithm stochastic-gradient-descent backpropagation backpropagation-learning-algorithm backpropagation-algorithm matrix-completion partial-sampling
Language:MATLAB 11
mmahesh / cocain-bpg-matrix-factorization
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
matrix-factorization proximal-algorithms matrix-decompositions matrix-completion optimization-algorithms non-convex-optimization non-negative-matrix-factorization nmf-decomposition nmf machine-learning signal-processing proximal-operators
Language:Python 7
jameschapman19 / proxtorch
An efficient GPU-compatible library built on PyTorch, offering a wide range of proximal operators and constraints for optimization and machine learning tasks.
proximal-gradient-descent proximal-operator proximal-operators proximal-regularization
Language:Python 6
ddegras / sparseGFL
Hybrid Approach to Sparse Group Fused Lasso
fused-lasso segmentation multivariate-timeseries convex-optimization hybrid-algorithms proximal-operators fixed-point-iteration sparse-regression
Language:C++ 5
JuliaSmoothOptimizers / RegularizedProblems.jl
Test Cases for Regularized Optimization
proximal-algorithms proximal-operators proximal-regularization proximal-gradient-method julia optimization test-problems
Language:Julia 5
leon-bungert / Eigenvectors-of-Proximal-Operators-and-Neural-Networks
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks
eigenvector neural-network power-method proximal-operators
Language:MATLAB 3
mmahesh / cocain-bpg-escapes-spurious-stationary-points
CoCaIn BPG escapes Spurious Stationary Points
non-convex-optimization proximal-algorithms machine-learning signal-processing computer-vision proximal-operators
Language:Python 3
ngmarchant / prox_elasticnet
A Python package which implements the Elastic Net using the (accelerated) proximal gradient method.
scikit-learn proximal-operators elastic-net
Language:Python 3
qntwrsm / ProximalMethods.jl
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.
julia proximal-algorithms proximal-operators proximal-gradient-descent optimization
Language:Julia 3
jopago / proxasm
A C/x86 assembly implementation of proximal operators with SSE3/AVX SIMD instructions
proximal-operators simd-instructions assembly-x86 sse optimization avx
Language:C++ 2
XIRZC / trpca.exp
Codes of `Tensor Robust Principal Component Analysis` expreiments.
convex-optimization admm-algorithm background-subtraction proximal-operators robust-pca tensor-robust-pca
Language:MATLAB 2
aldma / OptiMo.jl
Modeling language and tools for constrained, structured optimization problems
optimization julia proximal-algorithms nonsmooth-optimization proximal-operators
Language:Julia 0
buntonj / TVproximal
Fortran code implementing Newton-like algorithms for proximal mapping of total variation.
fortran optimization-algorithms proximal-operators total-variational-denoising
Language:Fortran 0
zevwoodstock / AsyncProx
Asynchronous implementation of a Projective Splitting algorithm in Julia
asynchronous julia nonsmooth-optimization proximal-algorithms proximal-operators projective-splitting
Language:Julia 0