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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

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

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