Contrastive-COVIDNet | IEEE JBHI'20 ] Contrastive Cross

by med-air Python Version: Current License: No License

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

kandi X-RAY | Contrastive-COVIDNet Summary

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

[IEEE JBHI'20] Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification

Support

Quality

Security

License

Reuse

Support

Contrastive-COVIDNet has a low active ecosystem.

It has 31 star(s) with 7 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 4 have been closed. On average issues are closed in 17 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Contrastive-COVIDNet is current.

Quality

Contrastive-COVIDNet has no bugs reported.

Security

Contrastive-COVIDNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Contrastive-COVIDNet 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

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

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

Perform validation
Print a summary of the metrics
Calculate the accuracy of the top k
Compute accuracy
Resets the index
Updates the dictionary with the given values
Saves the optimizer
Create a directory
Save checkpoint
Train the model
Get arguments
Adjust the learning rate
Create a directory

Get all kandi verified functions for this library.

Contrastive-COVIDNet Key Features

No Key Features are available at this moment for Contrastive-COVIDNet.

Contrastive-COVIDNet Examples and Code Snippets

No Code Snippets are available at this moment for Contrastive-COVIDNet.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Contrastive-COVIDNet

You can download it from GitHub.
You can use Contrastive-COVIDNet 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.