kg-2019 | 2019 Baidu Triple Extraction Competition , & quot

by bojone Python Version: Current License: No License

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

kandi X-RAY | kg-2019 Summary

kg-2019 is a Python library. kg-2019 has no bugs, it has no vulnerabilities and it has low support. However kg-2019 build file is not available. You can download it from GitHub.

2019 Baidu Triple Extraction Competition, "Scientific Space Team" source code

Support

Quality

Security

License

Reuse

Support

kg-2019 has a low active ecosystem.

It has 758 star(s) with 186 fork(s). There are 25 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 13 have been closed. On average issues are closed in 31 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of kg-2019 is current.

Quality

kg-2019 has 0 bugs and 57 code smells.

Security

kg-2019 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

kg-2019 code analysis shows 0 unresolved vulnerabilities.

There are 4 security hotspots that need review.

License

kg-2019 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

kg-2019 releases are not available. You will need to build from source code and install.

kg-2019 has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

kg-2019 saves you 582 person hours of effort in developing the same functionality from scratch.

It has 1357 lines of code, 66 functions and 4 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed kg-2019 and discovered the below as its top functions. This is intended to give you an instant insight into kg-2019 implemented functionality, and help decide if they suit your requirements.

Call the kernel function
Mask x by mask
Fixes the text representation of the text
Evaluate function
Extract items from a string
Evaluate the test prediction
Convert a sentence vector into a vector
Extract items from text
Pads a sequence of sequences
Apply weights to the model
Resets weights
Return an iterator over a string
Tokenize a string
Performs a dilated convolution of a sequence
Run test_pred
Calculate k_inter intervals from sequence x
Gather tensors
Inject weights into the model

Get all kandi verified functions for this library.

kg-2019 Key Features

No Key Features are available at this moment for kg-2019.

kg-2019 Examples and Code Snippets

No Code Snippets are available at this moment for kg-2019.

Community Discussions

No Community Discussions are available at this moment for kg-2019.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install kg-2019

You can download it from GitHub.
You can use kg-2019 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 .

Find more information at: