vunet | A generative model conditioned on shape and appearance | Machine Learning library

by CompVis Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | vunet Summary

vunet is a Python library typically used in Artificial Intelligence, Machine Learning, Generative adversarial networks applications. vunet has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A generative model conditioned on shape and appearance.

Support

Quality

Security

License

Reuse

Support

vunet has a low active ecosystem.

It has 438 star(s) with 90 fork(s). There are 21 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 26 have been closed. On average issues are closed in 22 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of vunet is current.

Quality

vunet has 0 bugs and 0 code smells.

Security

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

vunet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

vunet 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

vunet 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.

vunet saves you 539 person hours of effort in developing the same functionality from scratch.

It has 1262 lines of code, 77 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Define the graph
Make the loss op
Convert input to RGB
Calculate grams from fs
Compute a decoder for decimations
2d convolution layer
Create a name for a given layer
Generate latent parameters
Encodes latent units
Define the models
Create a TensorFlow model
Convolution layer
Decompose input c
Fit the model
Log a result
Plots a batch of data
Apply postprocessing postprocessing
Wrapper for IndexFlow
Plot a batch of data
Return True if index i is good
Restore the graph to the given path
Convolutional decoder
Extract features from input data
Make feature ops

Get all kandi verified functions for this library.

vunet Key Features

No Key Features are available at this moment for vunet.

vunet Examples and Code Snippets

No Code Snippets are available at this moment for vunet.

Community Discussions

Trending Discussions on vunet

how to close a index in elasticsearch?

QUESTION

how to close a index in elasticsearch?

Asked 2020-Dec-15 at 14:02

I have multiple indexes like 'vunet-%{tenant_id}-%{bu_id}-index-info-2020.09.01' in elasticsearch . I want to delete these indexes. But when ever I am trying to delete it by using following command

...

ANSWER

Answered 2020-Dec-15 at 14:02

Try this (this solves the escaping issue):

Source https://stackoverflow.com/questions/65306639

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

Vulnerabilities

No vulnerabilities reported

Install vunet

You can download it from GitHub.
You can use vunet 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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