Sockeye
Visit ToolSockeye is an open-source sequence-to-sequence framework for Neural Machine Translation based on PyTorch. It implements distributed training and optimized inference for state-of-the-art models.
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Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation based on PyTorch. It implements distributed training and optimized inference for state-of-the-art models.
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About
Sockeye is an open-source sequence-to-sequence framework specifically designed for Neural Machine Translation (NMT), built on PyTorch. It provides capabilities for distributed training and optimized inference, powering applications like Amazon Translate. While Sockeye has entered maintenance mode and is no longer adding new features, it remains a valuable resource for researchers and developers in the NMT field. The framework supports PyTorch exclusively in its latest versions, with previous versions offering compatibility with MXNet. It includes tools for converting MXNet models to PyTorch for inference, making it adaptable for existing projects. Comprehensive documentation and developer guidelines are available for users.
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Free
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