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

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

Alternating Direction Method of Multipliers for Support Vector Machine

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

Python implementation of optimization methods for inverse problems in imaging.

Codes of `Tensor Robust Principal Component Analysis` expreiments.

convex optimization

ADMM for Class-Imbalanced Training of Binary Image Classifiers

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.

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

All the stuff related to MATHS and GOD........ it's hard xp