Operations-ResearchSome 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.
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soptsopt:A simple python optimization library
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nuxt-prune-html🔌⚡ 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
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SuffixTreeOptimized implementation of suffix tree in python using Ukkonen's algorithm.
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psopyA SciPy compatible super fast Python implementation for Particle Swarm Optimization.
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hyper-enginePython library for Bayesian hyper-parameters optimization
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GurobiLinkWolfram Language interface to the Gurobi numerical optimization library
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AuxiLearnOfficial implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
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genealA genetic algorithm implementation in python
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SGDLibraryMATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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pybnbA parallel branch-and-bound engine for Python. (https://pybnb.readthedocs.io/)
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GARIGARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
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paper-simulationLet's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
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car-racingA toolkit for testing control and planning algorithm for car racing.
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GDLibraryMatlab library for gradient descent algorithms: Version 1.0.1
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vqfImplementation of Variational Quantum Factoring algorithm.
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neural-net-optimizationPyTorch implementations of recent optimization algorithms for deep learning.
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Learning-Lab-C-LibraryThis 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
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MIRT.jlMIRT: Michigan Image Reconstruction Toolbox (Julia version)
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simobilitysimobility - light-weight mobility simulation framework. Best for quick prototyping
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cspyA collection of algorithms for the (Resource) Constrained Shortest Path problem in Python / C++ / C#
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AscensionA metaheuristic optimization framework
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iraceIterated Racing for Automatic Algorithm Configuration
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pallas-solverGlobal optimization algorithms written in C++
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VariationalNeuralAnnealingA variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.
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gibbousConvex optimization for java and scala, built on Apache Commons Math
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fmin adamMatlab implementation of the Adam stochastic gradient descent optimisation algorithm
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rBASImplementation of the (beetle antennae search) BAS algorithm and its mutations in R code
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geneticalgorithm2Supported highly optimized and flexible genetic algorithm package for python
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dfognDFO-GN: Derivative-Free Optimization using Gauss-Newton
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biteoptDerivative-Free Optimization Method for Global Optimization (C++)
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ML-Optimizers-JAXToy implementations of some popular ML optimizers using Python/JAX
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OnePhase.jlThis package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.
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FrankWolfe.jlJulia implementation for various Frank-Wolfe and Conditional Gradient variants
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pdfoPowell's Derivative-Free Optimization solvers
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psgd tfTensorflow implementation of preconditioned stochastic gradient descent
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ForBESGeneric and efficient MATLAB solver for nonsmooth optimization problems
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benchoptMaking your benchmark of optimization algorithms simple and open
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adaboostAn implementation of the paper "A Short Introduction to Boosting"
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procrustesPython library for finding the optimal transformation(s) that makes two matrices as close as possible to each other.
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optaplanner-quickstartsOptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.
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zoofszoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
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Harris-Hawks-Optimization-Algorithm-and-ApplicationsSource codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
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RelevancyTuningDice.com tutorial on using black box optimization algorithms to do relevancy tuning on your Solr Search Engine Configuration from Simon Hughes Dice.com
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paradiseoAn evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
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sdaoptSimulated Dual Annealing for python and benchmarks
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ai-n-queensSolving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.
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csmath-2021This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju
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CurvaturefilterCurvature Filters are efficient solvers for Variational Models
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qpmadROS-compatible Eigen-based Goldfarb-Idnani quadratic programming solver
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Performance-Estimation-ToolboxCode 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.
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HashedExpressionType-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.
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