My implementations of deep neural networks for practice.
This repository implements the following:
- Subpixel Convolutions: paper, code
- Translated Parametric ReLU: paper, code
- Weight Normalization: paper, code
- Label Smoothing: paper, code
- Wasserstein GAN: paper, code
- Improved Training of Wasserstein GANs: paper, code
- Deep Regret Analytic Generative Adversarial Networks: paper, code
- Conditional Image Synthesis With Auxiliary Classifier GANs: paper
- Learning to Discover Cross-Domain Relations with Generative Adversarial Networks: paper, code
- Minibatch Stat Concatenation: paper, code
- tensorflow >= 1.4.0
- Python 3