mgan | Masking GAN - Image attribute mask generation | Machine Learning library

by tgeorgy Python Version: Current License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | mgan Summary

mgan is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Generative adversarial networks applications. mgan has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However mgan build file is not available. You can download it from GitHub.

Masking GAN - Image attribute mask generation

Support

Quality

Security

License

Reuse

Support

mgan has a low active ecosystem.

It has 122 star(s) with 23 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 6 have been closed. On average issues are closed in 154 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mgan is current.

Quality

mgan has 0 bugs and 0 code smells.

Security

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

mgan code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mgan 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

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

mgan 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.

mgan saves you 96 person hours of effort in developing the same functionality from scratch.

It has 246 lines of code, 7 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Initialize the model .
Builds a convolution block .
Forward the image .

Get all kandi verified functions for this library.

mgan Key Features

No Key Features are available at this moment for mgan.

mgan Examples and Code Snippets

Returns an HttpClient that supports TLS and TLS versions .

java

Lines of Code : 16

License : Permissive (MIT License)

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public static CloseableHttpClient setTlsVersionPerConnection() {
        SSLConnectionSocketFactory sslsf = new SSLConnectionSocketFactory(SSLContexts.createDefault()) {

            @Override
            protected void prepareSocket(SSLSocket socket

Enable TLS - 1 on the http connection .

java

Lines of Code : 14

License : Permissive (MIT License)

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public void enableTLSv12UsingHttpConnection() throws IOException, NoSuchAlgorithmException, KeyManagementException {
        URL urls = new URL("https://" + url + ":" + port);
        SSLContext sslContext = SSLContext.getInstance("TLSv1.2");

Enable TLS Version 2 . 0

java

Lines of Code : 9

License : Permissive (MIT License)

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public void enableTLSv12UsingSSLParameters() throws UnknownHostException, IOException {
        SSLSocketFactory socketFactory = (SSLSocketFactory) SSLSocketFactory.getDefault();
        SSLSocket sslSocket = (SSLSocket) socketFactory.createSocket(ur

Community Discussions

Trending Discussions on mgan

Is a torch.FloatTensor not a Tensor?

QUESTION

Is a torch.FloatTensor not a Tensor?

Asked 2018-Mar-05 at 05:51

Although this example has no training, this is an adapted part of a larger program where training does occur. I simply want the generator network to spew out a random image in this case:

...

ANSWER

Answered 2018-Mar-05 at 05:51

Simply changing the second last line of your main function solves the problem:

Source https://stackoverflow.com/questions/49088670

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

Vulnerabilities

No vulnerabilities reported

Install mgan

You can download it from GitHub.
You can use mgan 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: