AgaMiko / data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

Date Created 2019-09-28 (4 years ago)

Commits 88 (last one 7 months ago)

Stargazers 1,575 (2 this week)

Watchers 42 (0 this week)

Forks 201

License unknown

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RepositoryStats indexes 528,822 repositories, of these AgaMiko/data-augmentation-review is ranked #31,077 (94th percentile) for total stargazers, and #49,903 for total watchers.

AgaMiko/data-augmentation-review is also tagged with popular topics, for these it's ranked: machine-learning (#899/7315), generative-adversarial-network (#41/350), style-transfer (#12/133)

Other Information

AgaMiko/data-augmentation-review has 1 open pull request on Github, 8 pull requests have been merged over the lifetime of the repository.

There have been 1 release, the latest one was published on 2021-09-01 (2 years ago) with the name A comprehensive review of data augmentation resources.

All Topics

review survey autoaugment data-synthesis style-transfer data-generation machine-learning nlp-augmentation data-augmentation audio-augmentation data-augmentations image-augmentation augmentation-policies graph-data-augmentation generative-adversarial-network

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

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updated: 2024-06-10 @ 06:10am, id: 211553569 / R_kgDODJwNIQ