models | Pre-trained and Reproduced Deep Learning Models

by shiyutang Python Version: Current License: Apache-2.0

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

kandi X-RAY | models Summary

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

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Support

Quality

Security

License

Reuse

Support

models has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of models is current.

Quality

models has no bugs reported.

Security

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

License

models is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

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models Key Features

No Key Features are available at this moment for models.

models Examples and Code Snippets

No Code Snippets are available at this moment for models.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install models

You can download it from GitHub.
You can use models 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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