silviutroscot / CodeSLAM

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

Date Created 2019-12-21 (4 years ago)

Commits 35 (last one 2 years ago)

Stargazers 196 (0 this week)

Watchers 12 (0 this week)

Forks 23

License unknown

Ranking

RepositoryStats indexes 582,119 repositories, of these silviutroscot/CodeSLAM is ranked #180,976 (69th percentile) for total stargazers, and #177,412 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #32,064/115,750.

silviutroscot/CodeSLAM is also tagged with popular topics, for these it's ranked: deep-learning (#3,538/8363), pytorch (#2,469/5931), computer-vision (#1,187/3069), slam (#205/433)

Other Information

silviutroscot/CodeSLAM has 3 open pull requests on Github, 5 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 1 closed issue.

All Topics

slam vision pytorch autoencoder deep-learning computer-vision paper-implementations representation-learning variational-autoencoder representations-learning

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

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updated: 2024-10-16 @ 11:45pm, id: 229407693 / R_kgDODax7zQ