Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Tensorflow implementation of Wasserstein GAN.
Two versions:
How to run (an example):
python wgan_v2.py --data mnist --model mlp --gpus 0
A 1D toy example of optimizing a generative model using the WGAN-GP model.
Tensorflow implementation of Generative Adversarial Network for approximating a 1D Gaussian distr...
Some interesting TensorFlow tutorials for beginners.
Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" ...
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Ready to use implementations of state-of-the-art generative models in TensorFlow 2
GAN in Tensorflow to be run via Linux command line
Tooling for GANs in TensorFlow
🐳 GAN implemented as Tensorflow 2.X
GAN-based models to flash-simulate the LHCb PID detectors
Generative Adversarial Networks in TensorFlow 2.0
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
This's a re-implementation of generative adversarial networks using tensorflow.
Collection of generative models in Tensorflow