X-czh/SeqGAN-PyTorch
Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch
This project helps machine learning researchers and developers working with generative models to implement and experiment with Sequence Generative Adversarial Networks (SeqGANs). It takes an existing dataset of sequences (e.g., text, discrete data) and generates new sequences that mimic the statistical properties of the original. This is useful for researchers exploring advanced sequence generation techniques and model training methodologies.
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Use this if you are a machine learning researcher or developer interested in implementing and experimenting with generative adversarial networks specifically for sequence data, using PyTorch.
Not ideal if you are looking for a ready-to-use application for generating sequences without needing to understand or modify the underlying generative model's training process.
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Jun 28, 2020
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