Top 96 optimization-algorithms open source projects

Reinforcement learning with A* and a deep heuristic

Mathematical optimization in pure Rust

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

Image-processing software for cryo-electron microscopy

Collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

Visualize Tensorflow's optimizers.

Sparse Optimisation Research Code

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

Python microframework for building nature-inspired algorithms. Official docs: http://niapy.readthedocs.io/en/stable/

Matlab and Python toolbox for fast Total Variation proximity operators

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)

Algorithmic trading strategies

Typesafe, purely functional Computational Intelligence

Visualize optimization algorithms in MATLAB.

Videos of deep learning optimizers moving on 3D problem-landscapes

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

[ICLR 2021] Is Attention Better Than Matrix Decomposition?

C++ solvers for Minimum Cost Flow Problems

Neural Networks in Java 8 with CuDNN and Aparapi

A research toolkit for particle swarm optimization in Python

船长关于机器学习、计算机视觉和工程技术的总结和分享

A Genetic Algorithm Framework in Python

a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

🎯 A comprehensive gradient-free optimization framework written in Python

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

A curated list of awesome links and software libraries that are useful for robots.

A header-only C++ library for numerical optimization --

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

oj! Algorithms

Unconstrained function minimization in Javascript

Curvature Filters are efficient solvers for Variational Models

Generic and efficient MATLAB solver for nonsmooth optimization problems

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

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

Implementation of Variational Quantum Factoring algorithm.

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

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

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

MATLAB implementations of a variety of nonlinear programming algorithms.

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

A mod for KerbalSaceProgram

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

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

Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.

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.

A tour of different optimization algorithms in PyTorch.

Large scale convex optimization solvers in julia

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

Python library for Bayesian hyper-parameters optimization

Toy implementations of some popular ML optimizers using Python/JAX

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

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

🔌⚡ 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

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