Omni-GAN-PyTorch | This repository contains code for the paper

by PeterouZh Python Version: Current License: MIT

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

kandi X-RAY | Omni-GAN-PyTorch Summary

Omni-GAN-PyTorch is a Python library. Omni-GAN-PyTorch has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Omni-GAN-PyTorch

Support

Quality

Security

License

Reuse

Support

Omni-GAN-PyTorch has a low active ecosystem.

It has 32 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Omni-GAN-PyTorch is current.

Quality

Omni-GAN-PyTorch has no bugs reported.

Security

Omni-GAN-PyTorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Omni-GAN-PyTorch 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

Omni-GAN-PyTorch releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Prepare the argument parser
Main function
Calculate the maximization score
Loads inception network
Return a new Distribution instance
Forward computation
Execute a master message
Run the given message
Put the result
Add sample options to an argument parser
Parse command line arguments
This function calculates the mean and standard deviation from a list
Compute the mean and variance of a batch norm
Convert a biggan module into a TFHub
Load generator
Perform the forward computation
Test the test case
Run a single model
Prepare argument parser
Run the training function
Create the parameters for the model
Make images in a directory
Generate random samples
Save record to file
Sample the images
Load a convolution layer
Default loader
Reset the parameters

Get all kandi verified functions for this library.

Omni-GAN-PyTorch Key Features

No Key Features are available at this moment for Omni-GAN-PyTorch.

Omni-GAN-PyTorch Examples and Code Snippets

No Code Snippets are available at this moment for Omni-GAN-PyTorch.

Community Discussions

No Community Discussions are available at this moment for Omni-GAN-PyTorch.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Omni-GAN-PyTorch

You can download it from GitHub.
You can use Omni-GAN-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 .

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