Nmtpynmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.
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NpmtTowards Neural Phrase-based Machine Translation
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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Marian DevFast Neural Machine Translation in C++ - development repository
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Mtbook《机器翻译:基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
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OpennmtOpen Source Neural Machine Translation in Torch (deprecated)
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Opus MtOpen neural machine translation models and web services
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colocatFegeya Colocat, Colorized 'cat' implementation. Written in C++17.
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Document TransformerImproving the Transformer translation model with document-level context
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Good PapersI try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
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Code Docstring CorpusPreprocessed Python functions and docstrings for automated code documentation (code2doc) and automated code generation (doc2code) tasks.
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Nspm🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
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ModernmtNeural Adaptive Machine Translation that adapts to context and learns from corrections.
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Subword NmtUnsupervised Word Segmentation for Neural Machine Translation and Text Generation
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ruby-implementationsList of Ruby implementations.
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Nlp Models TensorflowGathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
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Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
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TensorFlow-OS-ELMA tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
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