proximal-algorithms
There are 47 repositories under proximal-algorithms topic.
Simple-Robotics/proxsuite
The Advanced Proximal Optimization Toolbox
lanl/scico
Scientific Computational Imaging COde
JuliaFirstOrder/ProximalAlgorithms.jl
Proximal algorithms for nonsmooth optimization in Julia
JuliaFirstOrder/ProximalOperators.jl
Proximal operators for nonsmooth optimization in Julia
epfl-lts2/pyunlocbox
A Python convex optimization package using proximal splitting methods
pmelchior/proxmin
Proximal optimization in pure python
princeton-computational-imaging/Delta-Prox
Official code repository for ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization (SIGGRAPH TOG 2023)
PyLops/pyproximal
PyProximal – Proximal Operators and Algorithms in Python
epfl-lts2/unlocbox
A Matlab convex optimization toolbox using proximal splitting methods
hiroyuki-kasai/SparseGDLibrary
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
Yunhui-Gao/ISTA
Iterative shrinkage / thresholding algorithms (ISTAs) for linear inverse problems
gnthibault/Optimisation-Python
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.
JuliaFirstOrder/SeparableOptimization.jl
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
astro-informatics/proxnest
Proximal Nested Sampling for high-dimensional Bayesian model selection
Hekstra-Lab/phase-retrieval
A small library implementing phase retrieval algorithms for 2D images.
1a7r0ch3/CP_PFDR_graph_d1
Cut-pursuit with preconditioned forward-Douglas-Rachford for regularization of classical functionals by graph total variation
shailesh1729/tisp
Topics in Signal Processing
Shuvomoy/NExOS.jl
Nonconvex Exterior Point Operator Splitting
kul-optec/PANOC.jl
Newton-type accelerated proximal gradient method in Julia
clarkzinzow/Machine-Learning-and-Signal-Processing-Algorithms
MATLAB implementations of a variety of machine learning/signal processing algorithms.
kul-optec/CIAOAlgorithms.jl
Coordinate and Incremental Aggregated Optimization Algorithms
auggiemarignier/pxmcmc
Solving inverse problems with Proximal Markov Chain Monte Carlo
aldma/Bazinga.jl
Bazinga.jl: a toolbox for constrained composite optimization
JuliaSmoothOptimizers/ShiftedProximalOperators.jl
Proximal operators for use with RegularizedOptimization
mmahesh/cocain-bpg-matrix-factorization
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
alexshtf/inc_prox_pt
Proximal-point methods for machine learning
phasepack/fasta-python
A Python implementation of Goldstein et. al's FASTA algorithm for convex optimization.
JuliaSmoothOptimizers/RegularizedProblems.jl
Test Cases for Regularized Optimization
isucsp/pnpg
PNPG algorithm implementation and examples
mmahesh/cocain-bpg-phase-retrieval
Fast Inertial Algorithm for Phase Retrieval
mzalaya/collectivemc
Implementation of Collective Matrix Completion by Mokhtar Z. Alaya and Olga Klopp https://arxiv.org/abs/1807.09010
qiuweili/altmin
Second-Order Convergence of Alternating Minimizations
wangdeqing/Nonnegative_Tensor_Decomposition
Nonnegative Tensor Decomposition
LARS-research/NASP
Q. Yao, J. Xu, W. Tu, Z. Zhu. Efficient Neural Architecture Search via Proximal Iterations. AAAI 2020.
mmahesh/cocain-bpg-escapes-spurious-stationary-points
CoCaIn BPG escapes Spurious Stationary Points
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.