# fjxmlzn/DoppelGANger

<https://repo.masters-masters.com/en/repos/fjxmlzn/DoppelGANger>

[Home](https://repo.masters-masters.com/en) › [fjxmlzn](https://repo.masters-masters.com/en/owners/fjxmlzn) › [DoppelGANger](https://repo.masters-masters.com/en/repos/fjxmlzn/DoppelGANger)

fjxmlzn/DoppelGANger has 313 stars on GitHub. Its RepoMasters card: Alpha tier. \[IMC 2020 (Best Paper Finalist)\] Using GANs for Sharing Networked Time Series…

| Field | Value |
| --- | --- |
| Owner | [fjxmlzn](https://repo.masters-masters.com/en/owners/fjxmlzn) |
| Stars | 313 |
| Forks | 74 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause-Clear |
| Created | 2019 |
| Topics | dataset-generation, privacy, time-series, timeseries, gan, gans, generative-adversarial-network, synthetic-data, synthetic-dataset-generation, synthetic-data-generation |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [fjxmlzn/DoppelGANger](https://github.com/fjxmlzn/DoppelGANger) |

## Repository

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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.