POSTECH-CVLab/PyTorch-StudioGAN

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

3.5k 343 +0/wk

GitHub

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

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Star & Fork Trend (24 data points)

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GitHub

stars 3.5k

forks 343

Growth Velocity

POSTECH-CVLab/PyTorch-StudioGAN has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric	PyTorch-StudioGAN	huggingface_hub	Bindu	min-dalle
Stars	3.5k	3.5k	3.5k	3.5k
Forks	343	983	339	251
Weekly Growth	+0	+4	+31	+0
Language	Python	Python	Python	Python
Sources	1	1	1	1
License	NOASSERTION	Apache-2.0	NOASSERTION	MIT

Capability Radar vs huggingface_hub

PyTorch-StudioGAN

huggingface_hub

Maintenance Activity 0

Last code push 607 days ago.

Community Engagement 49

Fork-to-star ratio: 9.8%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 30

No clear license detected — proceed with caution.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.