NRCan / geo-deep-learning

Deep learning applied to georeferenced datasets

Date Created 2018-09-07 (6 years ago)
Commits 1,004 (last one about a month ago)
Stargazers 150 (0 this week)
Watchers 17 (0 this week)
Forks 50
License mit
Ranking

RepositoryStats indexes 589,134 repositories, of these NRCan/geo-deep-learning is ranked #220,557 (63rd percentile) for total stargazers, and #129,849 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #39,942/117,584.

NRCan/geo-deep-learning is also tagged with popular topics, for these it's ranked: deep-learning (#4,144/8438),  pytorch (#2,893/5977),  cnn (#231/550),  semantic-segmentation (#228/516),  remote-sensing (#126/332)

Other Information

NRCan/geo-deep-learning has 2 open pull requests on Github, 228 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 39 open issues and 270 closed issues.

There have been 3 releases, the latest one was published on 2019-11-06 (5 years ago) with the name Integration of auxiliary data (metadata) in models.

Homepage URL: https://geo-deep-learning.readthedocs.io/en/latest/

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updated: 2024-11-29 @ 05:54am, id: 147853940 / R_kgDOCNASdA