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amanchadha/iSeeBetter

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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cnn convolutional-neural-network convolutional-neural-networks gan gans generative-adversarial-network psnr pytorch recurrent-neural-networks residual-networks resnet resnets
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GitHub
stars 382
forks 67

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Metric iSeeBetter awesome-trustworthy-deep-learning neural-symbolic-machines salgan
Stars 382 383384380
Forks 67 4369106
Weekly Growth +0 -1+0+0
Language C++ N/APythonPython
Sources 1 111
License MIT MITApache-2.0MIT

Capability Radar vs awesome-trustworthy-deep-learning

iSeeBetter
awesome-trustworthy-deep-learning
Maintenance Activity 0

Last code push 313 days ago.

Community Engagement 88

Fork-to-star ratio: 17.5%. 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.