Pytorch implementation of Training Generative Adversarial Networks by Solving Ordinary Differential Equations.
Just drop ode_gan.py in your project directory, import ode_gan, and
instantiate your choice of optimizer (currently only RK2 [Heun's
method] is implemented), passing the generator and discriminator
parameters and loss functions.
Call the step() method in your training loop to execute a single
training step.
https://github.com/nshepperd/ode-gan-tf Tensorflow implementation.