GitHub topics: seq2seq-pytorch
joeynmt/joeynmt
Minimalist NMT for educational purposes
Language: Python - Size: 37.8 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 692 - Forks: 215

shashwath94/Hierarchical-Seq2Seq
A PyTorch implementation of the hierarchical encoder-decoder architecture (HRED) introduced in Sordoni et al (2015). It is a hierarchical encoder-decoder architecture for modeling conversation triples in the MovieTriples dataset. This version of the model is built for the MovieTriples dataset.
Language: Python - Size: 22.5 KB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 28 - Forks: 4

Tixierae/deep_learning_NLP
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Language: Jupyter Notebook - Size: 105 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 435 - Forks: 106

gionanide/Neural_Machine_Translation
Neural Machine Translation using LSTMs and Attention mechanism. Two approaches were implemented, models, one without out attention using repeat vector, and the other using encoder decoder architecture and attention mechanism.
Language: Python - Size: 223 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 0

GeekTemo/sequence-to-sequence-from-scratch Fork of astorfi/sequence-to-sequence-from-scratch
:speech_balloon: Sequence to Sequence from Scratch Using Pytorch
Language: Python - Size: 14.5 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

WenjieWWJ/Pytorch_Seq2seq
The sequence-to sequence model implemented by pytorch
Language: Python - Size: 19.5 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

itsmystyle/autoencoder-interpretation
Interpretation for english autoencoder (seq2seq model).
Language: Jupyter Notebook - Size: 70.5 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

msank00/api_seq2seq
REST API for training and prediction of seq2seq model
Language: Python - Size: 2.72 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

dilettacal/nmt_seq2seq
Repository containing the code to my bachelor thesis about Neural Machine Translation
Language: Python - Size: 84.2 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

ndalton12/bert-seq2seq
Language: Jupyter Notebook - Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 3

jayden5744/NMT_Korean_To_English
한글을 영어로 번역하는 자연어처리 모델 스터디입니다.
Language: Jupyter Notebook - Size: 4.41 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

hash2430/French_EN_NMT
French to English neural machine translation trained on multi30k dataset.
Language: Python - Size: 94.7 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

Shandilya21/papers_implemetation
Implementation of Selected Published Papers from AI, RL, NLP Conferences and reputed Journals
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kalifou/ICLR_2018_Reproducibility_Challenge
ICLR_2018_Reproducibility_Challenge : Sketch-RNN
Language: Jupyter Notebook - Size: 149 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 0
