gan-go | Generative Adversarial Network in Go via Gorgonia | Machine Learning library

by LdDl Go Version: v0.2.0 License: No License

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

kandi X-RAY | gan-go Summary

gan-go is a Go library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. gan-go has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This just a repository with simple example how to build GAN in Gorgonia. Note: although there is code with some wrappings/aliasing and helping abstractions and functions in repository, this does not pretend to be high-level machine learning framework. Note #2: By the way... Code is ugly since I've decided to handle errors instead of using panic(...) calls. Panicing is considered to be in main functions of examples only.

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Quality

Security

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Support

gan-go has a low active ecosystem.

It has 69 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 3 have been closed. On average issues are closed in 11 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of gan-go is v0.2.0

Quality

gan-go has 0 bugs and 0 code smells.

Security

gan-go has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

gan-go code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gan-go 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

gan-go releases are available to install and integrate.

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

It has 2870 lines of code, 92 functions and 15 files.

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

Top functions reviewed by kandi - BETA

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

Mngonia network
defineGenerator creates a GeneratorNet .
defineDiscriminator creates a new Discriminator .
Binary cross entropy
defineCNN creates a DiscriminatorNet .
Huber loss
GenerateNormTestSamples is the same as GenerateNormNamples but takes a random number of samples .
GenerateUniformTestSamples is a utility function to generate random space samples
NewGAN creates a new GAN .
PlotXY generates XYs of two vectors .

Get all kandi verified functions for this library.

gan-go Key Features

No Key Features are available at this moment for gan-go.

gan-go Examples and Code Snippets

No Code Snippets are available at this moment for gan-go.

Community Discussions

Trending Discussions on gan-go

ContentDecodingError when getting text with beautiful soup

QUESTION

ContentDecodingError when getting text with beautiful soup

Asked 2017-Jul-07 at 08:17

I have a list of URLs (from HuffPost UK) I need to get text from. I store them in a csv file but I just copy/pasted them below as a list. I have two problems with my code (which used to work fine with some other publishers...).

It randomly stops with ContentDecodingError.
It randomly fails to generate text.

I say randomly because when I run it several times it stops at different URLs. Sometimes it prints text, sometimes it prints an empty string for the same URL. I have no idea what is going on. Could anyone suggest what is wrong? I'll greatly appreciate your help.

My code:

...

ANSWER

Answered 2017-Jul-07 at 08:17

I finally managed to solve this problem. I needed to use Selenium & PhantomJS before opening each url to allow the page to load properly.

This piece of code I added before creating my soup helped to solve the problem:

Source https://stackoverflow.com/questions/44697723

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