# zhezhaoa/ngram2vec

<https://repo.masters-masters.com/en/repos/zhezhaoa/ngram2vec>

[Home](https://repo.masters-masters.com/en) › [zhezhaoa](https://repo.masters-masters.com/en/owners/zhezhaoa) › [ngram2vec](https://repo.masters-masters.com/en/repos/zhezhaoa/ngram2vec)

zhezhaoa/ngram2vec has 847 stars on GitHub. Its RepoMasters card: Beta tier. Four word embedding models implemented in Python. Supporting arbitrary context…

| Field | Value |
| --- | --- |
| Owner | [zhezhaoa](https://repo.masters-masters.com/en/owners/zhezhaoa) |
| Stars | 847 |
| Forks | 171 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Topics | ngram, word2vec, ngram2vec, embedding, analogy, chinese, glove, ppmi, svd, n-gram |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [zhezhaoa/ngram2vec](https://github.com/zhezhaoa/ngram2vec) |

## Repository

Four word embedding models implemented in Python. Supporting arbitrary context features

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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