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323

1.2k

apache-2.0

50

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

pytorch seq2seq sockeye transformer translation deep-learning attention-model encoder-decoder machine-learning attention-mechanism machine-translation transformer-network deep-neural-networks sequence-to-sequence transformer-architecture attention-is-all-you-need neural-machine-translation sequence-to-sequence-models

Created 2017-06-08

836 commits to main branch, last one about a month ago

attention-mechanisms uzaymacar

82

349

mit

11

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

keras tensorflow keras-layer many-to-one many-to-many language-model text-generation attention-mechanism machine-translation sentiment-classification recurrent-neural-networks natural-language-processing sequence-to-sequence-models natural-language-understanding

Created 2019-06-19

53 commits to master branch, last one 2 years ago

stconvs2s AILAB-CEFET-RJ

24

64

gpl-3.0

8

Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevier)

weather-forecasting 3d-convolutional-network sequence-to-sequence-models spatiotemporal-data-analysis

Created 2019-11-20

14 commits to master branch, last one 3 years ago

Transformer-DyNet duyvuleo

19

63

mit

8

An Implementation of Transformer (Attention Is All You Need) in DyNet

cpp dynet transformer neural-machine-translation sequence-to-sequence-models

Created 2017-11-01

240 commits to master branch, last one 6 years ago