SGDLibrary
Optimization library
A collection of stochastic optimization algorithms for large-scale machine learning problems
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
221 stars
20 watching
84 forks
Language: MATLAB
last commit: almost 2 years ago
Linked from 1 awesome list
big-dataclassificationgradientgradient-descent-algorithmlinear-regressionlogistic-regressionmachine-learningmachine-learning-algorithmsmatlabnewtons-methodonline-learningoptimizationoptimization-algorithmsquasi-newtonsgdsoftmax-classificationstochastic-gradient-descentstochastic-optimization-algorithmssvrgvariance-reduction
Related projects:
Repository | Description | Stars |
---|---|---|
| A collection of unconstrained optimization algorithms implemented in MATLAB | 67 |
| A collection of unconstrained optimization algorithms for sparse modeling in MATLAB | 53 |
| A comprehensive Java library of local search algorithms with customization and hybridization capabilities | 60 |
| Provides a unified interface to multiple nonlinear optimization algorithms for global and local problem-solving in various fields | 1,908 |
| A comprehensive collection of optimization algorithms implemented in MATLAB | 185 |
| A Matlab implementation of a genetic algorithm to find optimal solutions to optimization problems | 422 |
| A collection of algorithm implementations for optimization and problem-solving in various fields | 700 |
| A comprehensive resource for machine learning and deep learning algorithms | 295 |
| This project presents optimization techniques for federated learning and minimax games in the context of machine learning | 1 |
| Develops an approach to learning probabilistic models in stochastic optimization problems | 201 |
| A software library for purely functional genetic algorithms with an emphasis on multi-objective optimization and robustness to noisy fitness functions | 72 |
| A collection of implementations for various optimization algorithms in MATLAB | 443 |
| Provides a Matlab interface to SNOPT for nonlinear optimization | 56 |
| A Matlab-based optimization framework for nonlinear least squares problems | 68 |
| An optimization algorithm designed to fit computational models in the absence of gradient information or noisy objective functions. | 246 |