pseudo-sr | repo contains an unofficial implementation

by yoon28 Python Version: Current License: No License

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

kandi X-RAY | pseudo-sr Summary

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

This repo contains an unofficial implementation of pseudo-sr.

Support

Quality

Security

License

Reuse

Support

pseudo-sr has a low active ecosystem.

It has 13 star(s) with 2 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 1 have been closed. On average issues are closed in 6 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pseudo-sr is current.

Quality

pseudo-sr has no bugs reported.

Security

pseudo-sr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pseudo-sr 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

pseudo-sr releases are not available. You will need to build from source code and install.

pseudo-sr 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.

Top functions reviewed by kandi - BETA

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

Train a training step
Toggle requires_grad
Checks if the number of iterations is less than min_iter_iter_iter
Generate a geometry ensemble
Calculate the loss function
Get the target label
Save tensor to image file
Convert a tensor
Load network data from file
Loads the state_dict from the state_dict
Returns a DataLoader for training
Cleanup the process group
Setup nccl
Make a cleaning network
Save network to folder
Update the model
Select network
Sample from the network
Steps the learning rate
Steps learning rate
Run train step
Get the average value

Get all kandi verified functions for this library.

pseudo-sr Key Features

No Key Features are available at this moment for pseudo-sr.

pseudo-sr Examples and Code Snippets

No Code Snippets are available at this moment for pseudo-sr.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install pseudo-sr

You can download it from GitHub.
You can use pseudo-sr 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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