resnext-wsl | Robustness properties of Facebook 's ResNeXt WSL models

by eminorhan Python Version: Current License: No License

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kandi X-RAY | resnext-wsl Summary

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

The code here can be used to reproduce the results reported in the following paper:. Orhan AE (2019) Robustness properties of Facebook's ResNeXt WSL models. arXiv:1907.07640. All simulation results reported in the paper are provided in the results folder.

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resnext-wsl has a low active ecosystem.

It has 11 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

resnext-wsl has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of resnext-wsl is current.

Quality

resnext-wsl has no bugs reported.

Security

resnext-wsl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

resnext-wsl 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.

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

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

Validate the model
Compute accuracy
Updates the statistics
Display a single batch
Show calibration results
Calculate the calib error
Calculates the accuracy of the response
Calculate the accuracy of a given net
Convert x to numpy array
Calculate the distance between the ranking of ranks
R Compute the distance between the given sigma
Calculate the significance of a confidence interval
Soft_f1_f1
Computes the accuracy of the image
Flip the probability of the given prediction
Load a model

Get all kandi verified functions for this library.

resnext-wsl Key Features

No Key Features are available at this moment for resnext-wsl.

resnext-wsl Examples and Code Snippets

No Code Snippets are available at this moment for resnext-wsl.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install resnext-wsl

You can download it from GitHub.
You can use resnext-wsl 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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