Face_MAE | paper Masked Autoencoders Are Scalable Vision Learners

by kaiwang960112 Python Version: Current License: Non-SPDX

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

kandi X-RAY | Face_MAE Summary

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

This is a PyTorch/GPU re-implementation of the paper Masked Autoencoders Are Scalable Vision Learners:.

Support

Quality

Security

License

Reuse

Support

Face_MAE has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Face_MAE is current.

Quality

Face_MAE has no bugs reported.

Security

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

License

Face_MAE has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Face_MAE 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.

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Face_MAE Key Features

No Key Features are available at this moment for Face_MAE.

Face_MAE Examples and Code Snippets

No Code Snippets are available at this moment for Face_MAE.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Face_MAE

You can download it from GitHub.
You can use Face_MAE 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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