Neural Networks based Deep Learning models and tools for sequence tagging.
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Updated
Jan 2, 2018 - Python
Neural Networks based Deep Learning models and tools for sequence tagging.
Temporal Hierarchies in Sequence to Sequence for Sentence Correction (IJCNN 2018)
Sequence-to-Sequence Deep Learning approach to Machine Translation
Toolkit for efficient experimentation with various sequence-to-sequence models
Implementing a transformer model for the SCAN compositionality tasks.
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
CommE 5045, Machine Learning and Having It Deep and Structured, 2018 Spring, National Taiwan University (NTU)
Generating unit test by sequence-to-sequence model.
Transformer Balance Research
TextAI: Popular deep neural networks trained on text data for common NLP task.
Some natural language processing networks from scratch in PyTorch for personal educational purposes.
Seq2seq neural network model for text summarization
seq2seq model enhanced with attention mechanism
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