# suragnair/seqGAN

<https://repo.masters-masters.com/en/repos/suragnair/seqGAN>

[Home](https://repo.masters-masters.com/en) › [suragnair](https://repo.masters-masters.com/en/owners/suragnair) › [seqGAN](https://repo.masters-masters.com/en/repos/suragnair/seqGAN)

suragnair/seqGAN has 647 stars on GitHub. Its RepoMasters card: Alpha tier. A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial…

| Field | Value |
| --- | --- |
| Owner | [suragnair](https://repo.masters-masters.com/en/owners/suragnair) |
| Stars | 647 |
| Forks | 146 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Topics | deep-learning, generative-adversarial-network, seqgan, policy-gradient, nlp, generative-model, gan, natural-language-processing, natural-language-understanding |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [suragnair/seqGAN](https://github.com/suragnair/seqGAN) |

## Repository

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.