# MaximumEntropy/Seq2Seq-PyTorch

<https://repo.masters-masters.com/en/repos/MaximumEntropy/Seq2Seq-PyTorch>

[Home](https://repo.masters-masters.com/en) › [MaximumEntropy](https://repo.masters-masters.com/en/owners/MaximumEntropy) › [Seq2Seq-PyTorch](https://repo.masters-masters.com/en/repos/MaximumEntropy/Seq2Seq-PyTorch)

MaximumEntropy/Seq2Seq-PyTorch has 739 stars on GitHub. Its RepoMasters card: Beta tier. Sequence to Sequence Models with PyTorch Language: Python.

| Field | Value |
| --- | --- |
| Owner | [MaximumEntropy](https://repo.masters-masters.com/en/owners/MaximumEntropy) |
| Stars | 739 |
| Forks | 158 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | WTFPL |
| Created | 2017 |
| Topics | pytorch, seq2seq, deep-learning, rnn |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [MaximumEntropy/Seq2Seq-PyTorch](https://github.com/MaximumEntropy/Seq2Seq-PyTorch) |

## Repository

Sequence to Sequence Models with PyTorch

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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