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  1. An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

    Jupyter Notebook 1.6k 417

  2. Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings

    Python 52 11

  3. A step-by-step problem set for implementing a high-quality deep dependency parser in Pytorch

    Python 13 3

  4. BiLSTM-CRF for sequence labeling in Dynet

    Python 85 18

  5. Convenient Vim package management

    Shell

  6. Forked from torch/torch7

    http://torch.ch

    C 1

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May - July 2020

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April 2020

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