# materialsintelligence/mat2vec

<https://repo.masters-masters.com/en/repos/materialsintelligence/mat2vec>

[Home](https://repo.masters-masters.com/en) › [materialsintelligence](https://repo.masters-masters.com/en/owners/materialsintelligence) › [mat2vec](https://repo.masters-masters.com/en/repos/materialsintelligence/mat2vec)

materialsintelligence/mat2vec has 642 stars on GitHub. Its RepoMasters card: Alpha tier. Supplementary Materials for Tshitoyan et al. "Unsupervised word…

| Field | Value |
| --- | --- |
| Owner | [materialsintelligence](https://repo.masters-masters.com/en/owners/materialsintelligence) |
| Stars | 642 |
| Forks | 185 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [materialsintelligence/mat2vec](https://github.com/materialsintelligence/mat2vec) |

## Repository

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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