Model-predictive control for microcontrollers

dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers

Accelerating Quadratic Optimization with Reinforcement Learning

Implementations of QP/QCQP solvers using ADMM algorithm

Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Chambolle & Pock, ...)

A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.

[IEEE Access 2023] ADOM: ADMM-Based Optimization Model for Stripe Noise Removal in Remote Sensing Image

UTV：A novel dark channel prior guided variational framework for underwater image restoration

Alternating Direction Method of Multipliers for Support Vector Machine

Plug-and-Play ADMM scheme based on an adaptive denoiser using the Schroedinger equation's solutions of quantum physics.

Project to Solve a SVM fitting problem in MATLAB using a consensus distributed ADMM approach and CVX. Two SMW has been trained and tested on different datasets.

A re-implementaion of Professor Stanley Chan's Plug and Play ADMM Paper created for Professor Qi Guo's machine learning class at Purdue University

This repository includes the codes for the paper: SAPA:Sparse Affine Projection Algorithm in ADMM-LP decoding of LDPC codes

Software package for (N-1-1) LASCOPF (Look-Ahead Security Constrained Optimal Power Flow) with post-contingency restoration in terms of thermal line limits. Also includes Distributed Deep Reinforcement Learning (DDRL) based decision making and Electricity Market model simulation among prosumers.

convex optimization

Python implementation of optimization methods for inverse problems in imaging.

Codes of `Tensor Robust Principal Component Analysis` expreiments.

ADMM for Class-Imbalanced Training of Binary Image Classifiers

The project is a straightforward video processing system, designed to perform singular value decomposition (SVD) on video images.

Analyzing LASSO and Ridge regressions using ADMM and Gradient Descent methods. Also the ADMM model is compared with that of Sci-Kit Learn's existing model.