This repository contains jupyter notebooks with generative models implemented in tensorflow 2.0.0a0.
- without Docker: Install tensorflow 2.0.0a0 with GPU support:
pip install tensorflow-gpu==2.0.0-alpha0 https://github.com/steven-mi/Tensorflow-2.0-Generative-Models.git
- without Docker: Pull from the official tensorflow dockerhub account the
tensorflow:2.0.0a0container, clone the repository and run the notebooks.1.Note: If you don't have a GPU then just drop thenvidia-docker run -it --rm tensorflow/tensorflow:2.0.0a0-gpu-py3-jupyter bash https://github.com/steven-mi/Tensorflow-2.0-Generative-Models.git
gputag. I don't recommend runnig a generative model on a CPU. 2.Note: You need CUDA >= 10.0 in order to run tensorflow 2.0
- Simple Generative Adversarial Network
- Deep Convolutional Generative Adversarial Network
- Wasserstein Gernerative Adversarial Network
- https://github.com/wiseodd/generative-models
- https://github.com/eriklindernoren/Keras-GAN
- https://github.com/GANs-in-Action/gans-in-action
- Documentation of VAE
- Documentation of Simple GAN
- Documentation of Deep Convolutional GAN
- Documenation of Wasserstein GAN
- Documentation of Wasserstein GAN GP
- Documentation of Condiional GAN
- Implementation of other GANs