maciejkula/glove-python

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1253 stars · 316 forks observed · 2026-08-28

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

A toy Python/Cython implementation of the GloVe algorithm for training dense word vector embeddings by factorizing the log of the word co-occurrence matrix. It provides a Corpus class and a Glove class with a sklearn-esque API, plus basic paragraph vector support.

Use cases

• train word embeddings from a text corpus in python
• compute most similar words to a given word
• build a co-occurrence matrix from tokenized text
• get paragraph embeddings for multi-word text
• alternative to word2vec for word vectors

When to choose

• you want a pure-Python, hackable GloVe implementation with a simple sklearn-like API
• you need to train word embeddings on a small to medium corpus
• you want paragraph vectors similar to tf-idf weighted averaging

When to avoid

• you need production-grade, well-tested GloVe training at scale
• you need modern transformer-based embeddings
• you are on macOS with Clang and cannot install gcc/OpenMP

Facets

library · maturity maintenance

machine-learning nlp machine-learning python windows word-embeddings glove cython word-vectors co-occurrence-matrix natural-language-processing linux macos

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