plainerman / Variational-Doob

Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling

Date Created 2024-04-18 (about a year ago)

Commits 168 (last one 25 days ago)

Stargazers 49 (0 this week)

Watchers 2 (0 this week)

Forks 5

License mit

Ranking

RepositoryStats indexes 641,914 repositories, of these plainerman/Variational-Doob is ranked #503,418 (22nd percentile) for total stargazers, and #486,545 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,578/19,410.

plainerman/Variational-Doob is also tagged with popular topics, for these it's ranked: machine-learning (#7,124/8488), neural-networks (#662/768)

Other Information

plainerman/Variational-Doob has Github issues enabled, there is 1 open issue and 1 closed issue.

There have been 2 releases, the latest one was published on 2024-10-10 (6 months ago) with the name NeurIPS Camera Ready.

All Topics

neural-networks machine-learning transition-paths variational-method

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168 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2025-04-04 @ 07:09pm, id: 788632722 / R_kgDOLwGUkg