38 Open source projects that are alternatives of or similar to ADMM

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

The sample question for Interview a job in Binary options

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

The Operator Splitting QP Solver

MoveIt kinematics_base plugin based on particle optimization & GA

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

Convex optimization for java and scala, built on Apache Commons Math

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

Awesome list for Neural Network Optimization methods.

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define m…

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Large scale convex optimization solvers in julia

CRAN R Package: Ridge Regression with automatic selection of the penalty parameter

Optimization sample codes on Python

Functional models and algorithms for sparse signal processing

Análisis numérico y cómputo científico

A collection of Benchmark functions for numerical optimization problems (https://opfunu.readthedocs.io)

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders

Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250

Semidefinite programming optimization solver

A set of lightweight header-only template functions implementing commonly-used optimization methods on Riemannian manifolds and convex spaces.

A JavaScript library to allocate and optimize financial portfolios.

Seminars on optimization methods for DIHT MIPT

A Perspective-n-Points-and-Lines method.

FlexBox is a fexible MATLAB toolbox for finite dimensional convex variational problems in image processing and beyond.

Pycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.

Information Retrieval in High Dimensional Data (class deliverables)

A Julia package for robust regressions using M-estimators and quantile regressions

A course on Optimization Methods

Slides and notebooks for my tutorial at PyData London 2018

Wolfram Language interface to the Gurobi numerical optimization library

Source code for the examples accompanying the paper "Learning convex optimization control policies."

Making your benchmark of optimization algorithms simple and open

Distances to sets for MathOptInterface

APPM 5630 at CU Boulder

Proximal operators for nonsmooth optimization in Julia

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