E1-246-Assignment1 | Implementation of word2vec skip-gram model

by ani555 Python Version: Current License: No License

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kandi X-RAY | E1-246-Assignment1 Summary

E1-246-Assignment1 is a Python library. E1-246-Assignment1 has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This repository contains the implementation of the word2vec model (skip-gram architecture) as proposed by Mikolov et al. in the paper Efficient Estimation of Word Representations in Vector Space .

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Support

E1-246-Assignment1 has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

E1-246-Assignment1 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of E1-246-Assignment1 is current.

Quality

E1-246-Assignment1 has no bugs reported.

Security

E1-246-Assignment1 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

E1-246-Assignment1 does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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E1-246-Assignment1 releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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E1-246-Assignment1 Key Features

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E1-246-Assignment1 Examples and Code Snippets

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Vulnerabilities

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Install E1-246-Assignment1

Python 3.6 is required to run the code in this repository. I have used python 3.6.7. To install the requirements.

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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