TextGAN-PyTorch is a benchmarking platform for GAN-based text generation models built with PyTorch. It implements multiple generative adversarial network architectures specifically designed for text generation, including SeqGAN, LeakGAN, MaliGAN, and other models from original research papers. The framework provides a unified implementation approach using PyTorch to help researchers familiar with PyTorch enter the text generation field more easily.