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Lextal/SotA-CV

A repository of state-of-the-art deep learning methods in computer vision

196 34 +0/wk
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compendium computer-vision deep-learning neural-network neural-networks research
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Metric SotA-CV zigrad AlexNet torchsurv
Stars 196 195195197
Forks 34 112615
Weekly Growth +0 +1+0+0
Language N/A ZigCPython
Sources 1 111
License MIT LGPL-3.0MITMIT

Capability Radar vs zigrad

SotA-CV
zigrad
Maintenance Activity 0

Last code push 2833 days ago.

Community Engagement 87

Fork-to-star ratio: 17.3%. 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.