AlexiaJM/Deep-learning-with-cats
Deep learning with cats (^._.^)
Implements multiple GAN architectures (DCGAN, WGAN, WGAN-GP, LSGAN) for image generation alongside fast neural style transfer for artistic rendering, built in PyTorch with TensorBoard logging for loss visualization. The codebase supports variable image resolutions (64x64 to 128x128) and explores training stabilization techniques like SELU activation and gradient penalty variants across different loss functions.
1,434 stars. No commits in the last 6 months.
Stars
1,434
Forks
187
Language
Python
License
GPL-3.0
Category
Last pushed
May 16, 2020
Commits (30d)
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