mikigom / Wgan Lp Tensorflow
Licence: mit
Reproduction code for WGAN-LP
Stars: ✭ 13
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WGAN-LP-tensorflow
Reproduction code for the following paper:
Title:
On the regularization of Wasserstein GANs
Authors:
Petzka, Henning; Fischer, Asja; Lukovnicov, Denis
Publication:
eprint arXiv:1709.08894
Publication Date:
09/2017
Origin:
ARXIV
Keywords:
Statistics - Machine Learning, Computer Science - Learning
2017arXiv170908894P
Repository structure
data_generator.py
- provides a class that generates the sample data needed for learning.
reg_losses.py
- defines the sampling method and loss term for regularization.
model.py
- implements 3-layer neural networks for a generator and a critic.
trainer.py
- a pipeline for model learning and visualization.
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