A fast, efficient universal vector embedding utility package.
Project description
About
A feature-packed Python package and vector storage file format for utilizing vector embeddings in machine learning models in a fast, efficient, and simple manner developed by Plasticity. It is primarily intended to be a faster alternative to Gensim, but can be used as a generic key-vector store for domains outside NLP.
Documentation
You can see the full documentation and README at the GitLab repository or the GitHub repository.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pymagnitude-0.1.127.tar.gz
(5.4 MB
view details)
File details
Details for the file pymagnitude-0.1.127.tar.gz.
File metadata
- Download URL: pymagnitude-0.1.127.tar.gz
- Upload date:
- Size: 5.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: Python-urllib/3.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
66a5205b2660cece8b65b64065bcca89b6f6ffabe10054f9a633a38956fb71ca
|
|
| MD5 |
0da106cb16931e0042b09bb6b3207e72
|
|
| BLAKE2b-256 |
bec67746d018ee1972351fe76e32338a58ebd7d8a1eb531ff77d6130830a4f0b
|
