radam_dgcnn_for_reading_comprehension

by natureLanguageQing Python Version: Current License: No License

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

kandi X-RAY | radam_dgcnn_for_reading_comprehension Summary

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

在苏剑林老师的代码上改了一下，改成了python3.6，基于膨胀卷积，字词混合向量，radam梯度优化算法，百度百科词向量的阅读理解模型

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Quality

Security

License

Reuse

Support

radam_dgcnn_for_reading_comprehension has a low active ecosystem.

It has 17 star(s) with 9 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 125 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of radam_dgcnn_for_reading_comprehension is current.

Quality

radam_dgcnn_for_reading_comprehension has 0 bugs and 0 code smells.

Security

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

radam_dgcnn_for_reading_comprehension code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

radam_dgcnn_for_reading_comprehension 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

radam_dgcnn_for_reading_comprehension 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.

radam_dgcnn_for_reading_comprehension saves you 251 person hours of effort in developing the same functionality from scratch.

It has 610 lines of code, 46 functions and 3 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed radam_dgcnn_for_reading_comprehension and discovered the below as its top functions. This is intended to give you an instant insight into radam_dgcnn_for_reading_comprehension implemented functionality, and help decide if they suit your requirements.

Evaluate competition answer
Calculate the acu character level F
Evaluate the ACCESS score
Format a string
Evaluate weights for a given epoch
Apply weights to model weights
Resets weights
Call the convolution function
Replaces the given layer
Calculate loss function
Inject momentum weights
Calculate the focal loss
Apply embedding

Get all kandi verified functions for this library.

radam_dgcnn_for_reading_comprehension Key Features

No Key Features are available at this moment for radam_dgcnn_for_reading_comprehension.

radam_dgcnn_for_reading_comprehension Examples and Code Snippets

No Code Snippets are available at this moment for radam_dgcnn_for_reading_comprehension.

Community Discussions

No Community Discussions are available at this moment for radam_dgcnn_for_reading_comprehension.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install radam_dgcnn_for_reading_comprehension

You can download it from GitHub.
You can use radam_dgcnn_for_reading_comprehension 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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