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google/seq2seq

An encoder-decoder neural network framework for TensorFlow used for machine translation, text summarization, and image captioning.

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This is a general-purpose encoder-decoder framework built on TensorFlow for training sequence-to-sequence models. It supports tasks like neural machine translation, text summarization, conversational modeling, and image captioning. The repository contains the official implementation from Google’s research on exploring neural machine translation architectures.

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