DAGAN | DAGAN : Data Augmentation Generative Adversarial Networks | Machine Learning library

by AntreasAntoniou Python Version: Current License: MIT

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

kandi X-RAY | DAGAN Summary

DAGAN is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Generative adversarial networks applications. DAGAN 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.

This is an implementation of DAGAN as described in The implementation provides data loaders, model builders, model trainers, and synthetic data generators for the Omniglot and VGG-Face datasets.

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Quality

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DAGAN has a low active ecosystem.

It has 389 star(s) with 98 fork(s). There are 20 watchers for this library.

It had no major release in the last 6 months.

There are 17 open issues and 14 have been closed. On average issues are closed in 40 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DAGAN is current.

Quality

DAGAN has 0 bugs and 0 code smells.

Security

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

DAGAN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DAGAN 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

DAGAN 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, examples and code snippets are available.

DAGAN saves you 582 person hours of effort in developing the same functionality from scratch.

It has 1359 lines of code, 66 functions and 15 files.

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

Top functions reviewed by kandi - BETA

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

Runs the experiment
Retrieve a batch of genotypes
Get a batch of data
Gets multiple batch inputs
Compute the loss for the given gpu_id
Augment two images
Rotates two images
Rotate a batch of images
Get multiple inputs for a given set
Get a batch of data for a given dataset
Returns the next gen batch
Computes the slerp of a curve
Sigma interpolation
Get test batch
Parse command line arguments
Generates random images from the input images
Lerp a Gaussian distribution

Get all kandi verified functions for this library.

DAGAN Key Features

No Key Features are available at this moment for DAGAN.

DAGAN Examples and Code Snippets

No Code Snippets are available at this moment for DAGAN.

Community Discussions

Trending Discussions on DAGAN

Regex to extract bibliography text from paragraph - Python

QUESTION

Regex to extract bibliography text from paragraph - Python

Asked 2020-Jul-06 at 20:34

In my Python task, I've a string (Paragraph) of bibliography that I want to parse into list of strings.

here is whole string

...

ANSWER

Answered 2020-Jul-06 at 20:34

unable to get a proper result. because string does not have any specific end. But every new string is starting with Author Name(s) following by year

This may be enough. I've written a regex that works on your whole sample,
however it is still subjective. Any add or subtract of name form or punctuation
will blow it out of the water.

Source https://stackoverflow.com/questions/62762766

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

Vulnerabilities

No vulnerabilities reported

Install DAGAN

To use the DAGAN repository you must first install the project dependencies. This can be done by install miniconda3 from here with python 3 and running:.

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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