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Search results for optimization algorithms
optimization-algorithms
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374 search results found
Min Cost Flow Class
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50
C++ solvers for Minimum Cost Flow Problems
Neural Net Optimization
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49
PyTorch implementations of recent optimization algorithms for deep learning.
Performance Estimation Toolbox
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49
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.
Qpmad
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49
ROS-compatible Eigen-based Goldfarb-Idnani quadratic programming solver
Hybrid Gwopso Optimization
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47
This script implements the hybrid of PSO and GWO optimization algorithm.
Phoenics
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46
Phoenics: Bayesian optimization for efficient experiment planning
Littleconv
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45
The C++11 deep learning framework, which is very easy to use
Throttlecontrolledavionics
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45
A mod for KerbalSaceProgram
Pybads
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45
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
Gari
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43
GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
Hashedexpression
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41
Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.
Suffixtree
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39
Optimized implementation of suffix tree in python using Ukkonen's algorithm.
Kerax
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39
Keras-like APIs for JAX framework
Jensen
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39
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
Vqf
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38
Implementation of Variational Quantum Factoring algorithm.
Igc Xc Score
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38
A scoring program for gliding competitions striving for 100% accuracy and determinism
Deep Learning Optimization Algorithms
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37
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
Disropt
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37
DISROPT: A Python framework for distributed optimization
Rieoptax
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36
Riemannian Optimization Using JAX
Fliscopt
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36
Algorithms for flight scheduling optimization.
Dfols
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36
Python-based Derivative-Free Optimizer for Least-Squares
Neorl
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35
NeuroEvolution Optimization with Reinforcement Learning
Pybnb
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35
A parallel branch-and-bound engine for Python. (https://pybnb.readthedocs.io/)
Pallas Solver
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34
Global optimization algorithms written in C++
Smoof
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34
Single- and Multi-Objective Optimization Test Functions
Hego
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34
Metaheuristics / Blackbox Optimization Algorithms for Go: Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Tabu Search, Particle Swarm Optimization ...
Occamypy
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34
Python library for solving large-scale inverse problems
Powellopt
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34
Optimization algorithms by M.J.D. Powell
Psgd_tf
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34
Tensorflow implementation of preconditioned stochastic gradient descent
Monotree
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34
An optimized Sparse Merkle Tree in Rust
Istoryline.js
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31
For more information about iStoryline
Jensen
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30
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
Optimkit.jl
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30
OptimKit: A blissfully ignorant Julia package for gradient optimization
Learning Lab C Library
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30
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
A Tour Of Pytorch Optimizers
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30
A tour of different optimization algorithms in PyTorch.
Flpytorch
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30
FL_PyTorch: Optimization Research Simulator for Federated Learning
Nature Inspired Algorithms
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30
Sample Code Collection of Nature-Inspired Computational Methods
Variance_reduced_neural_networks
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29
Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
Pydiffgame
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29
PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems
Spotz
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29
Spark Parameter Optimization and Tuning
Energysystemmodelling
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28
Resources for the Energy System Modelling course by Tom Brown at Karlsruhe Institute of Technology (2020).
Mantella
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28
Research on self-developing optimisation algorithms
Py2opt
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27
How to solve the traveling salesman problem with the 2-opt algorithm, a fast heuristic search algorithm.
Gdlibrary
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27
Matlab library for gradient descent algorithms: Version 1.0.1
Specialut
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27
Runtime choosing of template specializations using compile-time lookup-tables. Compile all states of a template function, but execute the optimal one at runtime.
Csmath 2021
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26
This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju
Differential Evolution
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26
Single header c++ implementation of Differential Evolution algorithm for general purpose optimization.
Sopt
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26
sopt:A simple python optimization library
Stochasticoptimization.jl
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26
Implementations of stochastic optimization algorithms and solvers
Nuxt Apis To File
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25
📞 Nuxt module to merge and transform multiple API + GraphQL requests into a single one, during build-time, like a payload extractor
Qsearch
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25
A compiler for quantum computers based on A* and numerical optimization.
Modopt
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25
Modular Optimisation tools for solving inverse problems
Mausr
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25
Simple neural network library and web-based recognizer of hand drawn Unicode symbols.
Degraph
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25
Evolving graph plotting with differentiable programming on Tensorflow 2
Solvertools.jl
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25
Tools for developing nonlinear optimization solvers.
Harris Hawks Optimization Algorithm And Applications
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25
Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/ In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
Minsqn
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25
Optimization using Stochastic quasi-Newton methods
Hessianlearn
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24
Hessian based stochastic optimization in TensorFlow and keras
Yaglm
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24
A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.
Parameterize.net
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24
Parameterize.Net is a library that allows developers to represent complex objects using float array.
Forbes
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24
Generic and efficient MATLAB solver for nonsmooth optimization problems
L2l
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24
Learning to Learn: Gradient-free Optimization framework
Optimizers.numpy
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23
Blackboxopt
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23
Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.
Ypea
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23
Yarpiz Evolutionary Algorithms Toolbox for MATLAB
Awesome Or
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23
A curated list of awesome Operations Research (OR) resources.
Ccsc_code_iccv2017
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23
This is the source code repository for the ICCV 2017 paper "Consensus Convolutional Sparse Coding".
Ml Optimizers Jax
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23
Toy implementations of some popular ML optimizers using Python/JAX
Psopy
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22
A SciPy compatible super fast Python implementation for Particle Swarm Optimization.
Variationalneuralannealing
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22
A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.
Ai N Queens
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22
Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.
Simobility
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21
simobility - light-weight mobility simulation framework. Best for quick prototyping
Sparsegdlibrary
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21
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
Fmin_adam
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21
Matlab implementation of the Adam stochastic gradient descent optimisation algorithm
Structural Model Updating
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21
This GitHub package provides example MATLAB code for finite element model updating. The code offers selection of different updating formulations and optimization algorithms.
Dfogn
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20
DFO-GN: Derivative-Free Optimization using Gauss-Newton
Onephase.jl
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20
This package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.
Geneticalgorithm2
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20
Supported genetic algorithm package for python
Projects
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20
Various Small Projects on Various Subjects
Fatrop
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19
Fatrop is a nonlinear optimal control problem solver that aims to be fast, support a broad class of optimal control problems and achieve a high numerical robustness.
Boscia.jl
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19
Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations
Relevancytuning
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19
Dice.com tutorial on using black box optimization algorithms to do relevancy tuning on your Solr Search Engine Configuration from Simon Hughes Dice.com
Gerjoii
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19
Radar and DC resistivity 2.5D multi-physics inversion suite. Forward modeling, separate inversions, joint inversions.
Rbas
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19
Implementation of the (beetle antennae search) BAS algorithm and its mutations in R code
Tf Madgrad
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19
A tf.keras implementation of Facebook AI's MadGrad optimization algorithm
Groupsparselp_dereverberation
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18
This code solves multichannel sparse linear prediction using the Least Absolute Deviation (LAD) and Group LASSO (GL) algorithms with applications in dereverberation
Cma Es
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18
Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
Soptsc
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18
SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network from scRNA-seq data.
Lp_mp
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18
Solving LPs with convergent message passing
Dualdecomposition.jl
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18
An algorithmic framework for parallel dual decomposition methods in Julia
Optim4rl
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17
Optim4RL is a framework of learning to optimize for reinforcement learning.
Optimization Algorithms
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17
Optimization methods
Expensiveoptimbenchmark
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16
Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
Fides
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16
Trust Region Optimization in Python
Pso
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16
This repository include implementation of particle swarm optimization (pso) algorithm in C++
Adaboost
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16
An implementation of the paper "A Short Introduction to Boosting"
Lcqpow
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16
LCQPow - A Solver for Quadratic Programs with Linear Complementarity Constraints
Ascension
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15
A metaheuristic optimization framework
Firstordersolvers.jl
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15
Large scale convex optimization solvers in julia
Moptipy
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14
Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.
101-200 of 374 search results
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