Sparse Optimisation Research Code
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Updated
Apr 29, 2024 - Python
Sparse Optimisation Research Code
Robust PCA implementation and examples (Matlab)
Proximal operators for nonsmooth optimization in Julia
Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
Proximal algorithms for nonsmooth optimization in Julia
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
Scientific Computational Imaging COde
A generic optimization method for any integer programming problem
Implementation of the paper, "LIME: Low-Light Image Enhancement via Illumination Map Estimation"
An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
[ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Experiments to speed up ADMM optimization algorithm for linear & semidefinite programming
Lensless imaging toolkit. Complete tutorial: https://go.epfl.ch/lenslesspicam
Simulation code of our paper in IEEE Transactions on Cognitive Communications and Networking: ''Energy-Efficient Blockchain-enabled User-Centric Mobile Edge Computing''
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