hiroyuki-kasai / RSOpt

Riemannian stochastic optimization algorithms: Version 1.0.3

Date Created 2018-07-12 (6 years ago)

Commits 63 (last one about a year ago)

Stargazers 63 (0 this week)

Watchers 5 (0 this week)

Forks 23

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RepositoryStats indexes 579,555 repositories, of these hiroyuki-kasai/RSOpt is ranked #394,002 (32nd percentile) for total stargazers, and #331,043 for total watchers. Github reports the primary language for this repository as MATLAB, for repositories using this language it is ranked #766/1,397.

hiroyuki-kasai/RSOpt is also tagged with popular topics, for these it's ranked: machine-learning (#5,923/7877), optimization (#652/879), big-data (#295/360), machine-learning-algorithms (#208/274), optimization-algorithms (#82/123)

All Topics

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

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14 commits on the default branch (master) since jan '22

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updated: 2024-08-27 @ 09:02pm, id: 140662347 / R_kgDOCGJWSw