Search Results - RepositoryStats

161

821

gpl-3.0

34

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

pagmo python python3 optimization metaheuristics genetic-algorithm optimization-tools parallel-computing parallel-processing optimization-methods evolutionary-strategy stochastic-optimizers artificial-intelligence evolutionary-algorithms optimization-algorithms multi-objective-optimization

Created 2017-01-08

4,630 commits to master branch, last one a day ago

96

304

mit

17

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

nmf divergence orthogonal data-analysis matlab-toolbox online-learning gradient-descent robust-optimization clustering-algorithm matrix-factorization stochastic-optimizers sparse-representations optimization-algorithms constrained-optimization nonnegativity-constraints nonnegative-matrix-factorization probabilistic-matrix-factorization

Created 2017-04-04

149 commits to master branch, last one 2 years ago

9

141

mit

13

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

optimization meta-heuristic metaheuristics genetic-algorithm optimization-tools global-optimization integer-programming optimization-methods discrete-optimization stochastic-optimizers black-box-optimization constraint-programming differential-evolution evolutionary-algorithms optimization-algorithms mathematical-programming mathematical-optimization mixed-integer-programming hyperparameter-optimization global-optimization-algorithms

Created 2016-07-13

409 commits to master branch, last one about a month ago

23

63

mit

5

Riemannian stochastic optimization algorithms: Version 1.0.3

sgd big-data manifold optimization online-learning machine-learning variance-reduction riemannian-manifold large-scale-learning stochastic-optimizers nonlinear-optimization non-convex-optimization optimization-algorithms riemannian-optimization stochastic-optimization constrained-optimization machine-learning-algorithms stochastic-gradient-descent nonlinear-optimization-algorithms

Created 2018-07-12

63 commits to master branch, last one about a year ago

6

30

bsd-3-clause

4

PyTorch implementation of the Hessian-free optimizer

ggn matrix-free hessian-free deep-learning newtons-method conjugate-gradient deep-neural-networks stochastic-optimizers pytorch-implementation optimization-algorithms second-order-optimization

Created 2022-07-11

104 commits to main branch, last one 3 months ago