Word2Bits | Quantized word vectors | Data Manipulation library

by agnusmaximus C++ Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Word2Bits Summary

Word2Bits is a C++ library typically used in Utilities, Data Manipulation applications. Word2Bits has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Word2Bits extends the Word2Vec algorithm to output high quality quantized word vectors that take 8x-16x less storage than regular word vectors. Read the details at

Support

Quality

Security

License

Reuse

Support

Word2Bits has a low active ecosystem.

It has 756 star(s) with 37 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 5 have been closed. On average issues are closed in 25 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Word2Bits is current.

Quality

Word2Bits has 0 bugs and 0 code smells.

Security

Word2Bits has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Word2Bits code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Word2Bits is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Word2Bits releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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Word2Bits Key Features

No Key Features are available at this moment for Word2Bits.

Word2Bits Examples and Code Snippets

No Code Snippets are available at this moment for Word2Bits.

Community Discussions

Trending Discussions on Word2Bits

Why word2bits RAM usage like word2vec?

QUESTION

Why word2bits RAM usage like word2vec?

Asked 2019-May-02 at 07:11

I am using word2bits for large datasets. Actually, what I observed was word2bits occupying RAM like word2vec. So, I thought that what will happen for a small dataset.

Because of this purpose, I ran the word2bits example which mentioned in Readme (https://github.com/agnusmaximus/Word2Bits).I observed the RAM usage in htop.

When I ran this text8 on word2vec. It is also occupying the same RAM.

...

ANSWER

Answered 2018-Jun-05 at 07:42

The word2bits use RAM like word2vec. This issue was solved in the GitHub issues (github.com/agnusmaximus/Word2Bits/issues/7)

Source https://stackoverflow.com/questions/50636287

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Word2Bits

All word vectors are in Glove/Fasttext format (format details here). Files are compressed using gzip.
Description of the most common flags:.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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