StyleGAN2.pytorch

by huangzh13 Python Version: Current License: Non-SPDX

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

kandi X-RAY | StyleGAN2.pytorch Summary

StyleGAN2.pytorch is a Python library. StyleGAN2.pytorch has no bugs, it has no vulnerabilities and it has low support. However StyleGAN2.pytorch build file is not available and it has a Non-SPDX License. You can download it from GitHub.

StyleGAN2.pytorch

Support

Quality

Security

License

Reuse

Support

StyleGAN2.pytorch has a low active ecosystem.

It has 45 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 140 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of StyleGAN2.pytorch is current.

Quality

StyleGAN2.pytorch has 0 bugs and 0 code smells.

Security

StyleGAN2.pytorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

StyleGAN2.pytorch code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

StyleGAN2.pytorch 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

StyleGAN2.pytorch releases are not available. You will need to build from source code and install.

StyleGAN2.pytorch has no build file. You will be need to create the build yourself to build the component from source.

StyleGAN2.pytorch saves you 1289 person hours of effort in developing the same functionality from scratch.

It has 2894 lines of code, 220 functions and 35 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed StyleGAN2.pytorch and discovered the below as its top functions. This is intended to give you an instant insight into StyleGAN2.pytorch implemented functionality, and help decide if they suit your requirements.

Applies updates
Runs the default session
Creates a tf summary
Create tensorflow variable
Fuse the fused bias function
Return GPU arch string
Calculate bias
Returns a TensorFlow plugin
Upsample x
Downsample a 2d array
Print the list of layers
Parse arguments
Translate a key to a string
Apply a 2D filter
Create a TensorFlow Session
Draw a truncation tick figure
Forward computation
Linearize noise
Upsample x with w
Fill the state_dict with weights
Draws a style mixing plot
Downsamples x to w
Upsample input tensor
Upper function for 2d
Register gradients
Submit a run

Get all kandi verified functions for this library.

StyleGAN2.pytorch Key Features

No Key Features are available at this moment for StyleGAN2.pytorch.

StyleGAN2.pytorch Examples and Code Snippets

No Code Snippets are available at this moment for StyleGAN2.pytorch.

Community Discussions

No Community Discussions are available at this moment for StyleGAN2.pytorch.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install StyleGAN2.pytorch

You can download it from GitHub.
You can use StyleGAN2.pytorch 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 .

Find more information at: