segmentation_tf | 用TensorFlow实现的最朴素的神经网络分词器

by licstar Python Version: Current License: No License

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kandi X-RAY | segmentation_tf Summary

segmentation_tf is a Python library. segmentation_tf has no bugs, it has no vulnerabilities and it has low support. However segmentation_tf build file is not available. You can download it from GitHub.

TODO 交叉熵莫名其妙写了两遍，还没找到合适的api batch不对计时不对 summary还没写成功读取embedding one-hot的转换数字字母的特殊处理.

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Support

segmentation_tf has a low active ecosystem.

It has 5 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

segmentation_tf has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of segmentation_tf is current.

Quality

segmentation_tf has no bugs reported.

Security

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

License

segmentation_tf 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.

Reuse

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

segmentation_tf has no build file. You will be need to create the build yourself to build the component from source.

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segmentation_tf Key Features

No Key Features are available at this moment for segmentation_tf.

segmentation_tf Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install segmentation_tf

You can download it from GitHub.
You can use segmentation_tf like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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