CDKGen | Source code for the paper

by SVAIGBA Python Version: Current License: MIT

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

kandi X-RAY | CDKGen Summary

CDKGen is a Python library typically used in Manufacturing, Utilities, Energy, Utilities applications. CDKGen has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Source code for the paper entitled "Keyphrase Generation with Cross-Document Attention". Our implementation is built on the source code from OpenNMT-kpg-release and OpenNMT-py.

Support

Quality

Security

License

Reuse

Support

CDKGen has a low active ecosystem.

It has 19 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 1 have been closed. On average issues are closed in 13 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CDKGen is current.

Quality

CDKGen has no bugs reported.

Security

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

License

CDKGen is licensed under the MIT License. This license is Permissive.

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

Reuse

CDKGen 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Translate src to Dataset
Log a kp
Add copied flags
Dictionary representation of the object
Add training options
Decorator that wraps a function
Update the histogram
Perform a forward computation
Generate a matrix of relative positions
Build a trainer
Run a forward pass through the target
Heuristic filtering
Convert multiple Tgtts into a single batch
Perform a forward pass through the forward pass
Compute the loss
Evaluate a set of models
Forward computation
Loads a vocabulary from a vocabulary
Add test postag
Train the model
Performs a single step
Build a save dataset
Add options for training
Add model - embedding options
Compute attention scores
Deprecated

Get all kandi verified functions for this library.

CDKGen Key Features

No Key Features are available at this moment for CDKGen.

CDKGen Examples and Code Snippets

No Code Snippets are available at this moment for CDKGen.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install CDKGen

You can download it from GitHub.
You can use CDKGen 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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