SRNS | 20 paper Simplify and Robustify Negative Sampling

by dingjingtao Python Version: Current License: No License

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

kandi X-RAY | SRNS Summary

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

This repository is the official implementation of Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering (Accepted by NeurIPS 2020). Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li,Depeng Jin. Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering.

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Quality

Security

License

Reuse

Support

SRNS has a low active ecosystem.

It has 11 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 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SRNS is current.

Quality

SRNS has no bugs reported.

Security

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

License

SRNS 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

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

SRNS 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.

Top functions reviewed by kandi - BETA

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

Run test
Train the model
Calculate training
Parse command line arguments
Performs a prediction of the model
Evaluate the model
Performs a fast prediction
Create the loss
Performs sampling
Create tensorflow variables
Build the graph
Save embedding to file
Save the embedding of the model
Create placeholder tensors
Create the optimizer

Get all kandi verified functions for this library.

SRNS Key Features

No Key Features are available at this moment for SRNS.

SRNS Examples and Code Snippets

No Code Snippets are available at this moment for SRNS.

Community Discussions

Trending Discussions on SRNS

Not able to convert a list into a data frame

QUESTION

Not able to convert a list into a data frame

Asked 2017-Apr-19 at 14:30

I'm new in programming in R, and I've been having this problem for several days now. I started with a list, I created from splitting a file. This list contains a number of items in a single row.

...

ANSWER

Answered 2017-Apr-19 at 14:30

I am not sure what is your final desired output. But the following script can convert your list to a data frame. Perhaps you can begin your analysis from this data frame.

Source https://stackoverflow.com/questions/43474131

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

Vulnerabilities

No vulnerabilities reported

Install SRNS

You can download it from GitHub.
You can use SRNS 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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