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- W2964277995 abstract "We present OpenSeq2Seq – an open-source toolkit for training sequence-to-sequence models. The main goal of our toolkit is to allow researchers to most effectively explore different sequence-to-sequence architectures. The efficiency is achieved by fully supporting distributed and mixed-precision training. OpenSeq2Seq provides building blocks for training encoder-decoder models for neural machine translation and automatic speech recognition. We plan to extend it with other modalities in the future." @default.
- W2964277995 created "2019-07-30" @default.
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- W2964277995 date "2018-01-01" @default.
- W2964277995 modified "2023-10-17" @default.
- W2964277995 title "OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models" @default.
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- W2964277995 doi "https://doi.org/10.18653/v1/w18-2507" @default.
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