The Advanced Proximal Optimization Toolbox
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Dec 16, 2024 - C++
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proximal-algorithms
Here are 45 public repositories matching this topic...
Proximal operators for nonsmooth optimization in Julia
optimization julia julia-language admm proximal-algorithms proximal-operators prox numerical-optimization nonlinear-programming first-order-methods nonsmooth-optimization
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Oct 27, 2023 - Julia
Proximal algorithms for nonsmooth optimization in Julia
machine-learning optimization julia admm optimal-control proximal-algorithms proximal-operators numerical-optimization optimization-algorithms nonlinear-programming nonsmooth-optimization proximal-gradient-method
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Oct 1, 2024 - Julia
Proximal optimization in pure python
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Jun 13, 2022 - Python
A Python convex optimization package using proximal splitting methods
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Aug 18, 2023 - Python
Scientific Computational Imaging COde
optimization admm proximal-algorithms proximal-operators inverse-problems convex-optimization computational-imaging fista total-variation jax plug-and-play-priors
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Dec 11, 2024 - Python
Official code repository for ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization (SIGGRAPH TOG 2023)
compiler optimization proximal domain-specific-language proximal-algorithms differentiable-optimization delta-prox
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Mar 27, 2024 - Python
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
machine-learning big-data algorithms optimization machine-learning-algorithms solver lasso logistic-regression gradient-descent support-vector-machines admm proximal-algorithms proximal-operators sparse-regression optimization-algorithms matrix-completion elasticnet lasso-regression coordinate-descent sparse-linear-solver
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Nov 20, 2018 - MATLAB
PyProximal – Proximal Operators and Algorithms in Python
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Dec 15, 2024 - Python
A Matlab convex optimization toolbox using proximal splitting methods
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Oct 12, 2023 - MATLAB
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.
machine-learning deep-learning graph-algorithms signal-processing proximal-algorithms variational-inference bayesian-statistics convex-optimization graph-convolutional-networks normalizing-flows variational-autoencoder graph-clustering
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Jul 22, 2024 - Jupyter Notebook
Iterative shrinkage / thresholding algorithms (ISTAs) for linear inverse problems
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May 24, 2024 - MATLAB
A small library implementing phase retrieval algorithms for 2D images.
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Jun 10, 2020 - Jupyter Notebook
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
optimization julia julia-language constrained-optimization admm proximal-algorithms proximal-operators prox convex-optimization piecewise first-order-methods convex quadratic first-order linearly-separable nonsmooth-optimization admm-algorithm piecewise-quadratic separable-optimization linearly-constrained
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Jul 19, 2021 - Julia
Proximal Nested Sampling for high-dimensional Bayesian model selection
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Apr 18, 2024 - Jupyter Notebook
Cut-pursuit with preconditioned forward-Douglas-Rachford for regularization of classical functionals by graph total variation
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Aug 5, 2020
Topics in Signal Processing
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Aug 21, 2022 - TeX
Nonconvex Exterior Point Operator Splitting
optimization proximal-algorithms sparse-regression nonlinear-optimization low-rank-matrix-recovery nonconvex-optimization
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Apr 27, 2024 - Jupyter Notebook
Newton-type accelerated proximal gradient method in Julia
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May 13, 2019 - Julia
Coordinate and Incremental Aggregated Optimization Algorithms
machine-learning julia proximal-algorithms convex-optimization stochastic-optimization nonconvex-optimization
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May 20, 2023 - Julia
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