PetrochukM/PyTorch-NLP

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

2222 stars · 253 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PyTorch-NLP (torchnlp) is a Python library of basic utilities for natural language processing built on PyTorch, providing text data loading, datasets, encoders, word vector embeddings, and metrics. The repository has been archived, with the author recommending Hugging Face and PyTorch toolchain alternatives.

Use cases

• load NLP datasets like IMDB into PyTorch
• load pretrained word vectors and embeddings in PyTorch
• compute NLP metrics for model evaluation
• build text data processing pipelines for PyTorch models
• tokenize and encode text for neural networks

When to choose

• you are maintaining a legacy codebase that already depends on torchnlp
• you need a lightweight, self-contained PyTorch NLP utility library and accept it is unmaintained

When to avoid

• you are starting a new NLP project - use Hugging Face Datasets, Tokenizers, or torchtext instead
• you need actively maintained code, bug fixes, or support for recent PyTorch versions

Facets

library · maturity abandoned

machine-learning nlp data-science serialization machine-learning deep-learning python pytorch torchnlp text-processing word-vectors embeddings datasets archived natural-language-processing

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