suragnair/seqGAN
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
This project helps machine learning researchers and students experiment with generating synthetic sequences of data. It takes in a dataset of existing sequences and produces new, similar sequences through an adversarial training process. This is useful for those studying or implementing generative adversarial networks (GANs) for sequence data.
648 stars. No commits in the last 6 months.
Use this if you are a researcher or student interested in a simplified, understandable implementation of SeqGAN for generating synthetic data sequences.
Not ideal if you need a robust, production-ready system for real-world sequence generation, as stability is highly sensitive to parameters.
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Python
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Last pushed
Sep 27, 2018
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