dav/word2vec
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4764
- days_rel: n/a
- days_push: 1941
- n_releases_24m: 0
Adoption not part of the score
1741 stars · 626 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
The original Google word2vec tool, hosted on GitHub with community patches for Mac OS X compilation and memory fixes. It efficiently trains word vector representations using CBOW and skip-gram architectures from a text corpus.
Use cases
- train word embeddings from a text corpus
- compute vector representations of words with skip-gram
- compute word vectors with continuous bag-of-words
- explore word similarity interactively
- research natural language processing applications
When to choose
- you need the classic, fast C implementation of word2vec
- you want to train word embeddings on your own corpus
- you need a lightweight command-line tool without Python dependencies
When to avoid
- you need modern contextual embeddings like BERT or transformer models
- you want an actively maintained project with recent fixes
- you need deep integration with a Python ML pipeline
Facets
library · maturity maintenance
machine-learning nlp cli machine-learning cli word-embeddings word2vec cbow skip-gram c natural-language-processing linux macos
1 source
- readme: https://github.com/dav/word2vec · fetched 2026-08-28 · d99978e6647f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| dav/word2vec | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem