POSTECH-CVLab / PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Date Created 2020-06-19 (4 years ago)

Commits 1,588 (last one about a year ago)

Stargazers 3,427 (2 this week)

Watchers 54 (0 this week)

Forks 343

License other

Ranking

RepositoryStats indexes 579,555 repositories, of these POSTECH-CVLab/PyTorch-StudioGAN is ranked #14,367 (98th percentile) for total stargazers, and #37,814 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #2,164/115,123.

POSTECH-CVLab/PyTorch-StudioGAN is also tagged with popular topics, for these it's ranked: deep-learning (#459/8344), machine-learning (#488/7877), pytorch (#273/5914), generative-adversarial-network (#17/364)

Other Information

POSTECH-CVLab/PyTorch-StudioGAN has 2 open pull requests on Github, 60 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 38 open issues and 79 closed issues.

There have been 4 releases, the latest one was published on 2022-07-05 (2 years ago) with the name v.0.4.0.

Homepage URL: https://github.com/MINGUKKANG

All Topics

biggan pytorch clean-fid stylegan2 stylegan3 deep-learning stylegan2-ada machine-learning data-efficient-gan-training generative-adversarial-network

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

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updated: 2024-11-07 @ 01:08pm, id: 273400964 / R_kgDOEEvEhA