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PyTorch implementation of beam search decoding for seq2seq models based on Decoding goes seperately for each sentence and stores the nodes in prioritized queue.

Usage: You can specify additional reward for decoding through BeamSearchNode.eval. Works for model with and without attention.

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Python (1,142,144
Pytorch (11,083
Natural Language Processing (4,610
Search (2,695
Seq2seq (538
Torch (371
Decoding (339
Neural (181
Beam (163
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