KBRD | Source code and dataset for EMNLP 2019 paper | Recommender System library

by THUDM Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | KBRD Summary

KBRD is a Python library typically used in Artificial Intelligence, Recommender System, Pytorch applications. KBRD 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.

Towards Knowledge-Based Recommender Dialog System. Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang. In EMNLP-IJCNLP 2019.

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Quality

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KBRD has a low active ecosystem.

It has 93 star(s) with 16 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 20 have been closed. On average issues are closed in 14 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of KBRD is current.

Quality

KBRD has 0 bugs and 0 code smells.

Security

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

KBRD code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

KBRD 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

KBRD 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.

KBRD saves you 6178 person hours of effort in developing the same functionality from scratch.

It has 12873 lines of code, 810 functions and 78 files.

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

Top functions reviewed by kandi - BETA

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

Evaluate wordstat
Get the module name for the given directory
Create an agent
Convert a name to an agent class
Create a batch cache for a given function
Return the length of a string
Extract images from command line
Return the pytorch dataset class
Add command line options to the command line
Returns a dictionary of optimizer options
Set fixed candidates
Show example of a task
Keep the dialog history of an observation
Arguments for Parlai
Perform a forward projection
Evaluate a pypi script
Add command line arguments
Setup command line arguments
Train the worker
Build lr scheduler
Pads text with padding
Arguments for MTurk
Helper function to build data
Verify that the input is valid
Evaluate a single step
Segment the text into a single segment

Get all kandi verified functions for this library.

KBRD Key Features

No Key Features are available at this moment for KBRD.

KBRD Examples and Code Snippets

No Code Snippets are available at this moment for KBRD.

Community Discussions

Trending Discussions on KBRD

Stack overflow with C list when adding dynamic variables

QUESTION

Stack overflow with C list when adding dynamic variables

Asked 2017-May-25 at 14:40

I'm having some trouble with a school project.

What I need to do is fairly simple, I just have to add some data to the list. I would normally know how to do so, but the fact that the memory allocation is dynamic has confused me.

So here's the list:

...

ANSWER

Answered 2017-May-25 at 14:35

After first malloc, concept member has un-inizialize value.

You need to allocate space for the passed string before to

Source https://stackoverflow.com/questions/44183081

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

Vulnerabilities

No vulnerabilities reported

Install KBRD

Please install dependencies by.

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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