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stochastic-optimizers

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esa / pagmo2

Star 838

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

python optimization genetic-algorithm parallel-computing python3 artificial-intelligence evolutionary-algorithms multi-objective-optimization optimization-methods optimization-tools optimization-algorithms parallel-processing evolutionary-strategy stochastic-optimizers metaheuristics pagmo
  • Updated Oct 8, 2024
  • C++

100 / Solid

Star 576

🎯 A comprehensive gradient-free optimization framework written in Python

python machine-learning library algorithm optimization genetic-algorithm machine-learning-algorithms artificial-intelligence genetic-algorithm-framework simulated-annealing hill-climbing evolutionary-algorithm optimization-algorithms particle-swarm-optimization tabu-search stochastic-optimizers metaheuristics discrete-optimization harmony-search continuous-optimization
  • Updated Jul 19, 2019
  • Python

hiroyuki-kasai / NMFLibrary

Star 312

NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

matrix-factorization constrained-optimization data-analysis robust-optimization gradient-descent matlab-toolbox clustering-algorithm optimization-algorithms nmf online-learning stochastic-optimizers nonnegativity-constraints orthogonal divergence probabilistic-matrix-factorization nonnegative-matrix-factorization sparse-representations
  • Updated Feb 24, 2023
  • MATLAB
biteopt

avaneev / biteopt

Star 146

Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

optimization genetic-algorithm hyperparameter-optimization evolutionary-algorithms global-optimization constraint-programming meta-heuristic optimization-methods differential-evolution optimization-tools black-box-optimization optimization-algorithms integer-programming global-optimization-algorithms stochastic-optimizers metaheuristics discrete-optimization mixed-integer-programming mathematical-programming mathematical-optimization
  • Updated Aug 21, 2024
  • C++

hiroyuki-kasai / RSOpt

Star 63

Riemannian stochastic optimization algorithms: Version 1.0.3

machine-learning big-data optimization machine-learning-algorithms constrained-optimization sgd manifold nonlinear-optimization optimization-algorithms large-scale-learning online-learning stochastic-optimizers variance-reduction stochastic-gradient-descent nonlinear-optimization-algorithms stochastic-optimization riemannian-manifold riemannian-optimization non-convex-optimization
  • Updated Jan 5, 2023
  • MATLAB

harshraj11584 / Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

Star 23

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

adadelta momentum gradient-descent optimization-methods optimization-algorithms adam adagrad rmsprop gradient-descent-algorithm stochastic-optimizers stochastic-gradient-descent gradient-boosting adam-optimizer adamax stochastic-optimization batch-gradient-descent nesterov-accelerated-sgd amsgrad nesterov-momentum nadam
  • Updated Mar 23, 2019
  • Python

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