rguthrie3/DeepLearningForNLPInPytorch
An IPython Notebook tutorial covering deep learning techniques for natural language processing tasks using PyTorch.
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This repository provides an interactive tutorial on applying deep learning to NLP problems, created for a Georgia Tech NLP class. It covers foundational topics including word embeddings, LSTMs, and sequence modeling, progressing to advanced structure prediction tasks like named-entity recognition using BiLSTM-CRF architectures. The material is designed to prepare students for implementing transition parsers using PyTorch’s dynamic computation graphs.
Frequently asked
- What is rguthrie3/DeepLearningForNLPInPytorch?
- An IPython Notebook tutorial covering deep learning techniques for natural language processing tasks using PyTorch.
- Is DeepLearningForNLPInPytorch open source?
- Yes — rguthrie3/DeepLearningForNLPInPytorch is open source, released under the MIT license.
- What language is DeepLearningForNLPInPytorch written in?
- rguthrie3/DeepLearningForNLPInPytorch is primarily written in Jupyter Notebook.
- How popular is DeepLearningForNLPInPytorch?
- rguthrie3/DeepLearningForNLPInPytorch has 2k stars on GitHub.
- Where can I find DeepLearningForNLPInPytorch?
- rguthrie3/DeepLearningForNLPInPytorch is on GitHub at https://github.com/rguthrie3/DeepLearningForNLPInPytorch.