# ThoughtRiver/lmdb-embeddings

<https://repo.masters-masters.com/en/repos/ThoughtRiver/lmdb-embeddings>

[Home](https://repo.masters-masters.com/en) › [ThoughtRiver](https://repo.masters-masters.com/en/owners/ThoughtRiver) › [lmdb-embeddings](https://repo.masters-masters.com/en/repos/ThoughtRiver/lmdb-embeddings)

ThoughtRiver/lmdb-embeddings has 418 stars on GitHub. Its RepoMasters card: Alpha tier. Fast word vectors with little memory usage in Python Language: Python.

| Field | Value |
| --- | --- |
| Owner | [ThoughtRiver](https://repo.masters-masters.com/en/owners/ThoughtRiver) |
| Stars | 418 |
| Forks | 31 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2018 |
| Topics | word, vectors, embeddings, lmdb, gensim, memory, speed, text, word2vec, fasttext |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ThoughtRiver/lmdb-embeddings](https://github.com/ThoughtRiver/lmdb-embeddings) |

## Repository

Fast word vectors with little memory usage in Python

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.