PyTorch-Batch-Attention-Seq2seq

AuCson

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

nlp

View on GitHub

275 Stars

49 Forks

275 Watchers

Python Language

Cost to Build

$953

Market Value

$2.0K

How is this calculated?

Growth over time

7 data points · 2021-08-01 → 2023-07-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about PyTorch-Batch-Attention-Seq2seq

Question copied to clipboard

What is the AuCson/PyTorch-Batch-Attention-Seq2seq GitHub project? Description: "PyTorch implementation of batched bi-RNN encoder and attention-decoder.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone PyTorch-Batch-Attention-Seq2seq

Clone via HTTPS

git clone https://github.com/AuCson/PyTorch-Batch-Attention-Seq2seq.git

Clone via SSH

[email protected]:AuCson/PyTorch-Batch-Attention-Seq2seq.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the PyTorch-Batch-Attention-Seq2seq issue tracker:

Open GitHub Issues

Similar to PyTorch-Batch-Attention-Seq2seq

lectures spaCy HanLP gensim tensorflow_cookbook tensorflow-nlp Awesome-pytorch-list spacy-models TagUI Repo-2017 stanford-tensorflow-tutorials awesome-nlp franc nlp_tasks nltk TextBlob CoreNLP allennlp mycroft-core practical-pytorch prose ltp libpostal sling DeepNLP-models-Pytorch attention-is-all-you-need-pytorch kaggle-CrowdFlower hubot-natural chat KGQA-Based-On-medicine