124 Open source projects that are alternatives of or similar to Deep-Learning-Optimization-Algorithms

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

Slides and notebooks for my tutorial at PyData London 2018

Tensorflow implementation of preconditioned stochastic gradient descent

A tour of different optimization algorithms in PyTorch.

Awesome list for Neural Network Optimization methods.

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

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Wolfram Language interface to the Gurobi numerical optimization library

A JavaScript library to allocate and optimize financial portfolios.

Large scale convex optimization solvers in julia

Making your benchmark of optimization algorithms simple and open

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

MoveIt kinematics_base plugin based on particle optimization & GA

A genetic algorithm implementation in python

Semidefinite programming optimization solver

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

Classifying the Blur and Clear Images

MATLAB implementations of a variety of nonlinear programming algorithms.

Implementation of the (beetle antennae search) BAS algorithm and its mutations in R code

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju

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…

Toy implementations of some popular ML optimizers using Python/JAX

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

Iterated Racing for Automatic Algorithm Configuration

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

A mod for KerbalSaceProgram

My workshop on machine learning using python language to implement different algorithms

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.

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

Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.

Optimized implementation of suffix tree in python using Ukkonen's algorithm.

An implementation of the paper "A Short Introduction to Boosting"

Information Retrieval in High Dimensional Data (class deliverables)

A metaheuristic optimization framework

Implementation of Variational Quantum Factoring algorithm.

Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.

Python library for Bayesian hyper-parameters optimization

Seminars on optimization methods for DIHT MIPT

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

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

A toolkit for testing control and planning algorithm for car racing.

DFO-GN: Derivative-Free Optimization using Gauss-Newton

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

🔌⚡ Nuxt module to prune html before sending it to the browser (it removes elements matching CSS selector(s)), useful for boosting performance showing a different HTML for bots/audits by removing all the scripts with dynamic rendering

A course on Optimization Methods

Python library for finding the optimal transformation(s) that makes two matrices as close as possible to each other.

Optimization sample codes on Python

Supported highly optimized and flexible genetic algorithm package for python

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

Dice.com tutorial on using black box optimization algorithms to do relevancy tuning on your Solr Search Engine Configuration from Simon Hughes Dice.com

Some lecture notes of Operations Research (usually taught in Junior year of BS) can be found in this repository along with some Python programming codes to solve numerous problems of Optimization including Travelling Salesman, Minimum Spanning Tree and so on.

Functional models and algorithms for sparse signal processing

Derivative-Free Optimization Method for Global Optimization (C++)

Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

simobility - light-weight mobility simulation framework. Best for quick prototyping

Análisis numérico y cómputo científico

This package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.

The Operator Splitting QP Solver

ROS-compatible Eigen-based Goldfarb-Idnani quadratic programming solver