simulated-unsupervised-tensorflow and SimGAN
These are competing implementations of the same paper (SimGAN), both aiming to reproduce Apple's approach for bridging the domain gap between synthetic and real images through adversarial training, with the carpedm20 version using TensorFlow while the mjdietzx version's framework choice differs.
Maintenance
0/25
Adoption
10/25
Maturity
9/25
Community
25/25
Maintenance
0/25
Adoption
10/25
Maturity
9/25
Community
24/25
Stars: 577
Forks: 145
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 417
Forks: 98
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About simulated-unsupervised-tensorflow
carpedm20/simulated-unsupervised-tensorflow
TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"
About SimGAN
mjdietzx/SimGAN
Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
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