SeqGAN-PyTorch

A implementation of SeqGAN in PyTorch, following the implementation in tensorflow.

Tested with:

• PyTorch v1 Stable
• Python 3.6
• CUDA at least 8.0 (For GPU)

Origin

The idea is from paper SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

The code is rewrited in PyTorch with the structure largely from Tensorflow Implementation

Runing

$ python main.py

After runing this file, the results will be printed on terminal. You can change the parameters in the main.py.