DINE | CVPR 2022 paper `` DINE : Domain Adaptation

by tim-learn Python Version: Current License: MIT

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

kandi X-RAY | DINE Summary

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

code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"

Support

Quality

Security

License

Reuse

Support

DINE has a low active ecosystem.

It has 66 star(s) with 8 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 19 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DINE is current.

Quality

DINE has no bugs reported.

Security

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

License

DINE 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

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

DINE has no build file. You will be need to create the build yourself to build the component from source.

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DINE Key Features

No Key Features are available at this moment for DINE.

DINE Examples and Code Snippets

No Code Snippets are available at this moment for DINE.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install DINE

You can download it from GitHub.
You can use DINE 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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