Shypd.aiThe largest open index of AI toolsnmt-keras is an open-source neural machine translation library built with Keras. It supports attentional recurrent neural networks and Transformer models for sequence-to-sequence tasks, offering multi-GPU training and beam search decoding.
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NMT-Keras is an open-source library designed for Neural Machine Translation (NMT) using the Keras framework. It provides implementations of both attentional recurrent neural network NMT models and Transformer NMT models. Key features include multi-GPU training for TensorFlow, Tensorboard integration, and online learning capabilities. The library supports various attention mechanisms like Bahdanau and Luong, along with double stochastic attention. Users can leverage beam search decoding, ensemble decoding, and model averaging for improved translation quality. It also offers support for GRU/LSTM networks, label smoothing, N-best list generation, and unknown words replacement. NMT-Keras facilitates the use of pretrained word embeddings and includes a client-server architecture for web demos, making it suitable for researchers and developers in the machine translation domain.
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