materials-word-embeddings

olivettigroup

Word2Vec model trained across 640k+ materials science journal articles

natural-language-processing

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45 Stars

11 Forks

45 Watchers

Python Language

mit License

Cost to Build

$12.47M

Market Value

$17.45M

How is this calculated?

Growth over time

4 data points · 2021-08-07 → 2022-02-20

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What is the olivettigroup/materials-word-embeddings GitHub project? Description: "Word2Vec model trained across 640k+ materials science journal articles". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/olivettigroup/materials-word-embeddings.git

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[email protected]:olivettigroup/materials-word-embeddings.git

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