DDLO | Distributed Deep Learning-based Offloading | Machine Learning library

by revenol Python Version: Current License: MIT

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

kandi X-RAY | DDLO Summary

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

Python code to reproduce our works on Deep Learning-based Offloading for Mobile-Edge Computing Networks [1], where multiple parallel Deep Neural Networks (DNNs) are used to efficiently generate near-optimal binary offloading decisions. This project includes:.

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Quality

Security

License

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Support

DDLO has a low active ecosystem.

It has 100 star(s) with 62 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DDLO is current.

Quality

DDLO has 0 bugs and 0 code smells.

Security

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

DDLO code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DDLO 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

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

DDLO has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Initialize network .
Build the network .
Compute the Q result .
plot the gain
Train the network .
Saves the gain to a text file .

Get all kandi verified functions for this library.

DDLO Key Features

No Key Features are available at this moment for DDLO.

DDLO Examples and Code Snippets

No Code Snippets are available at this moment for DDLO.

Community Discussions

Trending Discussions on DDLO

Using Json in select option value - errors due to double quotes

QUESTION

Using Json in select option value - errors due to double quotes

Asked 2017-Oct-11 at 16:27

I have a ajax request which returns a list of options for a select form input. I have a json for the value of each option to represent an address. However the double quotes cause an issue and only the first { is returned to the back end.

Looking at the value in chrome dev tools I can see that the value recognised by chrome is the first { and not the whole json. How can I get the value of a select to correctly hold a json value.

The option value that appears in the browser is:

...

ANSWER

Answered 2017-Oct-11 at 16:27

You can use the new Option constructor to avoid string concatenation. This will work for any string value.

Source https://stackoverflow.com/questions/46692962

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

Vulnerabilities

No vulnerabilities reported

Install DDLO

You can download it from GitHub.
You can use DDLO 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.