SSProbing | Using Self-Supervised Probing

by d-ailin Python Version: Current License: MIT

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

kandi X-RAY | SSProbing Summary

SSProbing is a Python library. SSProbing 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.

Code for the paper: Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness (ECCV'22).

Support

Quality

Security

License

Reuse

Support

SSProbing has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

SSProbing has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SSProbing is current.

Quality

SSProbing has no bugs reported.

Security

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

License

SSProbing 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

SSProbing 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.

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SSProbing Key Features

No Key Features are available at this moment for SSProbing.

SSProbing Examples and Code Snippets

No Code Snippets are available at this moment for SSProbing.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install SSProbing

Setup environment and install with the packages:. Our environment is partly based on the ConfidNet. After installing above packages, install packages in the requirements.txt. The Juypter Lab is not installed in the requirements. If you would like to use it, you could install it manually.
Python==3.6.13
torch==1.10.1
torchvision==0.11.2

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 .

Find more information at: