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  1. Evaluate and compare three neural machine translation models, including RNN-based encoder-decoder, RNN-encoder-decoder with attention, and CNN-encoder-RNN-decoder with attention. [Team Project for …

    Jupyter Notebook 2

  2. CSCI-GA.2590 - Natural Language Processing - Spring 2018 - Term Project

    Python 2 2

  3. NYC crime time analysis

    Jupyter Notebook 1 3

  4. Viterbi part-of-speech tagger, trained on Wall Street Journal (WSJ) data

    Python 8 3

  5. Bag-of-words (BOW) sentiment classifier

    Python 1

  6. CNN/RNN model evaluation on the Stanford Natural Language Inference (SNLI) task

    Python 3

12 contributions in the last year

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Contribution activity

July 2020

melanietosik has no activity yet for this period.

June 2020

1 contribution in private repositories Jun 2

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