sent2vec

pdrm83

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

artificial-intelligence natural-language-processing

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134 Stars

12 Forks

134 Watchers

Python Language

mit License

Cost to Build

$2.7K

Market Value

$6.8K

How is this calculated?

Growth over time

7 data points · 2021-11-01 → 2025-08-01

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What is the pdrm83/sent2vec GitHub project? Description: "How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone sent2vec

Clone via HTTPS

git clone https://github.com/pdrm83/sent2vec.git

Clone via SSH

[email protected]:pdrm83/sent2vec.git

Download ZIP

Download master.zip

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