Robust PCA implementation and examples (Matlab)
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Updated
Feb 21, 2018 - MATLAB
Robust PCA implementation and examples (Matlab)
Sparse Optimisation Research Code
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"
An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.
Proximal operators for nonsmooth optimization in Julia
Lensless imaging toolkit. Complete tutorial: https://go.epfl.ch/lenslesspicam
Implementation of the paper, "LIME: Low-Light Image Enhancement via Illumination Map Estimation"
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
A generic optimization method for any integer programming problem
Proximal algorithms for nonsmooth optimization in Julia
Scientific Computational Imaging COde
Experiments to speed up ADMM optimization algorithm for linear & semidefinite programming
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
Belief propagation with sparse matrices (scipy.sparse) in Python for LDPC codes. Includes NumPy implementation of message passing (min-sum and sum-product) and a few other decoders.
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