# pdrm83/sent2vec

<https://repo.masters-masters.com/en/repos/pdrm83/sent2vec>

[Home](https://repo.masters-masters.com/en) › [pdrm83](https://repo.masters-masters.com/en/owners/pdrm83) › [sent2vec](https://repo.masters-masters.com/en/repos/pdrm83/sent2vec)

pdrm83/sent2vec has 134 stars on GitHub. Its RepoMasters card: Prototype tier. How to encode sentences in a high-dimensional vector space, a.k.a., sentence…

| Field | Value |
| --- | --- |
| Owner | [pdrm83](https://repo.masters-masters.com/en/owners/pdrm83) |
| Stars | 134 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | nlp, nlp-machine-learning, encode-sentences, sent2vec, sentence-embeddings, word2vec, natural-language-processing, machine-learning, artificial-intelligence, ai |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [pdrm83/sent2vec](https://github.com/pdrm83/sent2vec) |

## Repository

How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.