tbmihailov / lxmls-toolkit

Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School

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Summary

Machine learning toolkit for natural language processing. Written for Lisbon Machine Learning Summer School (lxmls.it.pt). This covers

  • Scientific Python and Mathematical background
  • Linear Classifiers
  • Sequence Models
  • Structured Prediction
  • Syntax and Parsing
  • Feed-forward models in deep learning
  • Sequence models in deep learning

Instructions for Students

  • Use the student branch not this one!

  • You do not need to run setup.py or pip install, read instructions in the Day 0 chapter of the LXMLS guide.

Instructions for non Students

Feel free to install the toolkit with

pip install .

Bear in mind that the main purpose of the toolkit is educative. You may resort to other toolboxes if you are looking for efficient implementations of the algorithms described.

About

Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School

License:MIT License


Languages

Language:Python 88.8%Language:Jupyter Notebook 5.3%Language:Perl 5.2%Language:HTML 0.8%