Pytorch implementation of Training Generative Adversarial Networks by Solving Ordinary Differential Equations.

Usage

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.

See Also

https://github.com/nshepperd/ode-gan-tf Tensorflow implementation.