seeprettyface-ganerator-dongman | 这是一个用StyleGAN训练出的动漫脸生成器

by a312863063 Python Version: Current License: No License

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

kandi X-RAY | seeprettyface-ganerator-dongman Summary

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

seeprettyface-ganerator-dongman

Support

Quality

Security

License

Reuse

Support

seeprettyface-ganerator-dongman has a low active ecosystem.

It has 133 star(s) with 50 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 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of seeprettyface-ganerator-dongman is current.

Quality

seeprettyface-ganerator-dongman has 0 bugs and 26 code smells.

Security

seeprettyface-ganerator-dongman has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

seeprettyface-ganerator-dongman code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

seeprettyface-ganerator-dongman 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.

Reuse

seeprettyface-ganerator-dongman releases are not available. You will need to build from source code and install.

seeprettyface-ganerator-dongman has no build file. You will be need to create the build yourself to build the component from source.

seeprettyface-ganerator-dongman saves you 565 person hours of effort in developing the same functionality from scratch.

It has 1320 lines of code, 108 functions and 12 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed seeprettyface-ganerator-dongman and discovered the below as its top functions. This is intended to give you an instant insight into seeprettyface-ganerator-dongman implemented functionality, and help decide if they suit your requirements.

Applies gradients to each device
Returns the loss scaling variable
Reduces loss scaling
Resets the initializer state
Attempt to download a given URL
Return True if obj is a valid URL
Write text to the file
Flush the file
Register gradients
Apply loss scaling
Submit a run
Get a path from a template
Create the local directory for the run
Get the next run id from the run directory root
Closes the logger
Close the logger
Convert a path
Gets the template tag from a path
Get the name of an object
Save text to file

Get all kandi verified functions for this library.

seeprettyface-ganerator-dongman Key Features

No Key Features are available at this moment for seeprettyface-ganerator-dongman.

seeprettyface-ganerator-dongman Examples and Code Snippets

No Code Snippets are available at this moment for seeprettyface-ganerator-dongman.

Community Discussions

No Community Discussions are available at this moment for seeprettyface-ganerator-dongman.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install seeprettyface-ganerator-dongman

You can download it from GitHub.
You can use seeprettyface-ganerator-dongman 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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