stormraiser/GAN-weight-norm
Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
This project helps researchers and machine learning practitioners explore how different normalization techniques impact Generative Adversarial Networks (GANs). It takes image datasets (like LSUN or CIFAR-10) and trains GAN models, outputting generated images. The primary users are researchers focused on improving the stability and performance of image generation models.
181 stars. No commits in the last 6 months.
Use this if you are a researcher experimenting with the effects of batch and weight normalization on GAN training and image output quality.
Not ideal if you need a production-ready GAN for immediate use, as this is a research-focused implementation with acknowledged bugs and ongoing investigations.
Stars
181
Forks
35
Language
Lua
License
GPL-3.0
Last pushed
Jan 15, 2018
Commits (30d)
0
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