DAGAN | implementation code for `` DAGAN : Deep De | Machine Learning library

by tensorlayer Python Version: Current License: No License

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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 and it has low support. However DAGAN build file is not available. You can download it from GitHub.

This is the official implementation code for DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction published in IEEE Transactions on Medical Imaging (2018). Guang Yang*, Simiao Yu*, et al. (* equal contributions). If you use this code for your research, please cite our paper. If you have any questions about this code, please feel free to contact Simiao Yu (simiao.yu13@imperial.ac.uk).

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Quality

Security

License

Reuse

Support

DAGAN has a low active ecosystem.

It has 167 star(s) with 56 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 5 have been closed. On average issues are closed in 24 days. There are no pull 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 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

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

DAGAN 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 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.

Run train .
Embed VGG16 layer .
Unet layer .
A discriminator layer .
Setup logging .
Flattens an image .
Convert input image to bad image .
Absolute absolute value for the absolute fft .
Compute the SSim similarity measure .
Preprog prepro

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

You can download it from GitHub.
You can use DAGAN 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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