# hiroyuki-kasai/SGDLibrary

<https://repo.masters-masters.com/en/repos/hiroyuki-kasai/SGDLibrary>

[Home](https://repo.masters-masters.com/en) › [hiroyuki-kasai](https://repo.masters-masters.com/en/owners/hiroyuki-kasai) › [SGDLibrary](https://repo.masters-masters.com/en/repos/hiroyuki-kasai/SGDLibrary)

hiroyuki-kasai/SGDLibrary has 228 stars on GitHub. Its RepoMasters card: Prototype tier. MATLAB/Octave library for stochastic optimization algorithms: Version…

| Field | Value |
| --- | --- |
| Owner | [hiroyuki-kasai](https://repo.masters-masters.com/en/owners/hiroyuki-kasai) |
| Stars | 228 |
| Forks | 87 |
| Language | [MATLAB](https://repo.masters-masters.com/en/languages/matlab) |
| License | MIT |
| Created | 2016 |
| Topics | optimization, optimization-algorithms, machine-learning, machine-learning-algorithms, stochastic-optimization-algorithms, stochastic-gradient-descent, big-data, gradient-descent-algorithm, gradient, logistic-regression |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hiroyuki-kasai/SGDLibrary](https://github.com/hiroyuki-kasai/SGDLibrary) |

## Repository

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.