Scientific Computational Imaging COde
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Updated
May 13, 2024 - Python
Scientific Computational Imaging COde
Bazinga.jl: a toolbox for constrained composite optimization
PyProximal – Proximal Operators and Algorithms in Python
The Advanced Proximal Optimization Toolbox
Nonconvex Exterior Point Operator Splitting
Self-concordant Smoothing for Large-Scale Convex Composite Optimization
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.
Proximal Nested Sampling for high-dimensional Bayesian model selection
Official code repository for ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization (SIGGRAPH TOG 2023)
Proximal operators for use with RegularizedOptimization
Test Cases for Regularized Optimization
Proximal algorithms for nonsmooth optimization in Julia
Proximal operators for nonsmooth optimization in Julia
A Matlab convex optimization toolbox using proximal splitting methods
Solving inverse problems with Proximal Markov Chain Monte Carlo
A Python convex optimization package using proximal splitting methods
Nonnegative Tensor Decomposition
Coordinate and Incremental Aggregated Optimization Algorithms
Repository for the MVA Optimization courses.
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