# rguthrie3/DeepLearningForNLPInPytorch

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

Repository: https://github.com/rguthrie3/DeepLearningForNLPInPytorch
Canonical: https://ross.abutalabs.com/products/deeplearningfornlpinpytorch
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: nlp, pytorch, deep-learning, tutorial, lstm, neural-network
Last push: 2023-01-22T21:41:03+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3469, "days_push": 1319, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1956, forks 457 (observed 2026-08-28T04:05:59.069747+00:00)

## What it is
An IPython Notebook tutorial teaching deep learning for natural language processing in PyTorch, from tensor basics through LSTMs and BiLSTM-CRF structure prediction. It was written for a Georgia Tech NLP class and emphasizes linguistic structure prediction.

## Use cases
- learn deep learning for NLP in PyTorch
- understand LSTM part-of-speech tagging
- implement a BiLSTM-CRF for named-entity recognition
- learn word embeddings with PyTorch
- study linguistic structure prediction with dynamic computation graphs

## When to choose
- you want a hands-on notebook-based introduction to deep NLP in PyTorch
- you need coverage of sequence modeling and structure prediction beyond basic RNN language models

## When to avoid
- you need up-to-date PyTorch APIs or transformer-based NLP
- you want a production library rather than educational material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, machine-learning, deep-learning
- domain: deep-learning, tutorials
- platform: python
- tags: pytorch, jupyter-notebook, lstm, word-embeddings, structure-prediction, bilstm-crf, natural-language-processing

## Member repositories
- rguthrie3/DeepLearningForNLPInPytorch (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:59.069747+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:06:14.320103+00:00, confidence not recorded.
  - readme: https://github.com/rguthrie3/DeepLearningForNLPInPytorch (fetched 2026-08-28T04:05:59.069747+00:00, sha e5de1b2c8d76)
- Data as of 2026-08-30T08:39:29.467469+00:00.