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Description

Neural Sequence Learning Using TensorFlow

The Neural Monkey package provides a higher level abstraction for sequential neural network models, most prominently in Natural Language Processing (NLP). It is built on TensorFlow. It can be used for fast prototyping of sequential models in NLP which can be used e.g. for neural machine translation or sentence classification.

The higher-level API brings together a collection of standard building blocks (RNN encoder and decoder, multi-layer percetpron) and a simple way of adding new building blocks implemented directly in TensorFlow.

Repository

https://github.com/ufal/neuralmonkey

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3 days, 22 hours ago passed

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https://github.com/ufal/neuralmonkey

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Tags

machine translation, tensorflow, sequence-to-sequence learning, neural machine translation, NMT

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neural-monkey.readthedocs.io
neural-monkey.rtfd.io

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master