agrimgupta92/sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

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deep-learning generative-adversarial-network human-trajectory-prediction pytorch social-navigation trajectory-prediction

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Metric	sgan	Change-Detection-Review	TextGAN-PyTorch	PConv-Keras
Stars	908	907	909	907
Forks	272	187	206	247
Weekly Growth	+0	+0	+0	+0
Language	Python	N/A	Python	Jupyter Notebook
Sources	1	1	1	1
License	MIT	N/A	MIT	MIT

sgan

Change-Detection-Review

Maintenance Activity 0

Last code push 867 days ago.

Community Engagement 100

Fork-to-star ratio: 30.0%. Active community forking and contributing.

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 95

Licensed under MIT. Permissive — safe for commercial use.

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