Resources and notebook for "Deep Learning and Modern NLP" Workshop for PyData Miami 2019
This tutorial requires an existing installation of Anaconda 3 (tested with Python 3.6). From the root directory of the repo, run:
conda env create -f environment.yml
source activate deep-learning-nlp
Data for these tutorials are sourced from various locations, and prepared in advance into pickled Pandas DataFrames. The original sources of the data can be found in the links below.
- Perceptron
- LSTM Classification
- Part of Speech Tagging
- Sample of the Penn Treebank dataset from the NLTK Corpora
- Machine Translation