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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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HashedExpressionType-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.
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iraceIterated Racing for Automatic Algorithm Configuration
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SGDLibraryMATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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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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fmin adamMatlab implementation of the Adam stochastic gradient descent optimisation algorithm
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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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geneticalgorithm2Supported highly optimized and flexible genetic algorithm package for python
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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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biteoptDerivative-Free Optimization Method for Global Optimization (C++)
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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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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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GurobiLinkWolfram Language interface to the Gurobi numerical optimization library
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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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soptsopt:A simple python optimization library
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benchoptMaking your benchmark of optimization algorithms simple and open
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neural-net-optimizationPyTorch implementations of recent optimization algorithms for deep learning.
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AuxiLearnOfficial implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
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optaplanner-quickstartsOptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.
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psopyA SciPy compatible super fast Python implementation for Particle Swarm Optimization.
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paradiseoAn evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
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pybnbA parallel branch-and-bound engine for Python. (https://pybnb.readthedocs.io/)
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pallas-solverGlobal optimization algorithms written in C++
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Aleph starReinforcement learning with A* and a deep heuristic
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ArgminMathematical optimization in pure Rust
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