hiroyuki-kasai / RSOpt

Riemannian stochastic optimization algorithms: Version 1.0.3

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

Commits 63 (last one 2 years ago)

Stargazers 64 (0 this week)

Watchers 4 (0 this week)

Forks 23

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RepositoryStats indexes 632,894 repositories, of these hiroyuki-kasai/RSOpt is ranked #415,971 (34th percentile) for total stargazers, and #365,706 for total watchers. Github reports the primary language for this repository as MATLAB, for repositories using this language it is ranked #850/1,635.

hiroyuki-kasai/RSOpt is also tagged with popular topics, for these it's ranked: machine-learning (#6,161/8405), optimization (#685/945), big-data (#307/371), machine-learning-algorithms (#213/294), optimization-algorithms (#89/133)

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: 2025-03-07 @ 07:03am, id: 140662347 / R_kgDOCGJWSw