TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Generate Chinese hip-pop lyrics using GAN
SeqGAN tensorflow implementation
Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch
Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow
Implementation of a paper "Polyphonic Music Generation with Sequence Generative Adversarial Networks" in TensorFlow
SeqGAN but with more bells and whistles
An image captioning model that is inspired by the Show, Attend and Tell paper (https://arxiv.org/abs/1502.03044) and the Sequence Generative Adversarial Network paper (https://arxiv.org/abs/1609.05473)
This is an implementation of "An End-to-End Generative Architecture for Paraphrase Generation" paper.
This is a model find optimized PARP1 inhibitor based on ORGANIC
tensorflow2 , Seq2Seq with Attention
A novel approach to get concise comments for a code snippet
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