Sparse Optimisation Research Code

Robust PCA implementation and examples (Matlab)

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

Scientific Computational Imaging COde

Proximal operators for nonsmooth optimization in Julia

Proximal algorithms for nonsmooth optimization in Julia

Implementation of the paper, "LIME: Low-Light Image Enhancement via Illumination Map Estimation"

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

A generic optimization method for any integer programming problem

Lensless imaging toolkit. Complete tutorial: https://go.epfl.ch/lenslesspicam

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.

Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

[ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang

TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software

Evaluation code of our paper in IEEE Transactions on Cognitive Communications and Networking: ''Energy-Efficient Blockchain-enabled User-Centric Mobile Edge Computing''

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

Experiments to speed up ADMM optimization algorithm for linear & semidefinite programming