Model-predictive control for microcontrollers

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.

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

ADOM: ADMM-Based Optimization Model for Stripe Noise Removal in Remote Sensing Image

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.

Derivation of ADMM for solving soft-margin SVM objective function and implementation of the solver in Matlab.

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

Python implementation of optimization methods for inverse problems in imaging.

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

convex optimization

ADMM for Class-Imbalanced Training of Binary Image Classifiers

Codes of `Tensor Robust Principal Component Analysis` expreiments. Besides, this repo is for my own convex optimization assignments, so do not copy for your assignments !!!

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.

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