# AuCson/PyTorch-Batch-Attention-Seq2seq

<https://repo.masters-masters.com/en/repos/AuCson/PyTorch-Batch-Attention-Seq2seq>

[Home](https://repo.masters-masters.com/en) › [AuCson](https://repo.masters-masters.com/en/owners/AuCson) › [PyTorch-Batch-Attention-Seq2seq](https://repo.masters-masters.com/en/repos/AuCson/PyTorch-Batch-Attention-Seq2seq)

AuCson/PyTorch-Batch-Attention-Seq2seq has 281 stars on GitHub. Its RepoMasters card: Alpha tier. PyTorch implementation of batched bi-RNN encoder and…

| Field | Value |
| --- | --- |
| Owner | [AuCson](https://repo.masters-masters.com/en/owners/AuCson) |
| Stars | 281 |
| Forks | 45 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Topics | seq2seq, attention-model, nlp |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [AuCson/PyTorch-Batch-Attention-Seq2seq](https://github.com/AuCson/PyTorch-Batch-Attention-Seq2seq) |

## Repository

PyTorch implementation of batched bi-RNN encoder and attention-decoder.

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.