fjxmlzn / DoppelGANger

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Date Created 2019-09-28 (5 years ago)

Commits 26 (last one about a year ago)

Stargazers 302 (0 this week)

Watchers 6 (0 this week)

Forks 75

License bsd-3-clause-clear

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RepositoryStats indexes 598,732 repositories, of these fjxmlzn/DoppelGANger is ranked #134,406 (78th percentile) for total stargazers, and #301,445 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #23,248/120,199.

fjxmlzn/DoppelGANger is also tagged with popular topics, for these it's ranked: privacy (#419/1051), time-series (#214/674), gan (#193/525), generative-adversarial-network (#140/373), datasets (#116/360)

Other Information

fjxmlzn/DoppelGANger has Github issues enabled, there are 4 open issues and 40 closed issues.

Homepage URL: http://arxiv.org/abs/1909.13403

All Topics

gan gans privacy datasets fidelity timeseries time-series doppelganger synthetic-data dataset-generation synthetic-data-generator synthetic-data-generation synthetic-dataset-generation generative-adversarial-network

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

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The only known language in this repository is Python

updated: 2024-12-24 @ 11:06pm, id: 211554840 / R_kgDODJwSGA