Dpex | Distributed DataLoader For Pytorch Based On Ray | Machine Learning library

by eedalong Python Version: Current License: MIT

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

kandi X-RAY | Dpex Summary

Dpex is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. Dpex 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.

Distributed DataLoader For Pytorch Based On Ray

Support

Quality

Security

License

Reuse

Support

Dpex has a low active ecosystem.

It has 9 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 3 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Dpex is current.

Quality

Dpex has no bugs reported.

Security

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

License

Dpex 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

Dpex 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Returns the next available data
Get data from the queue
Try to put an index into the queue
Try to get data from the queue
Process data
Inner loop
Pin data into memory
Read content of a file

Get all kandi verified functions for this library.

Dpex Key Features

No Key Features are available at this moment for Dpex.

Dpex Examples and Code Snippets

No Code Snippets are available at this moment for Dpex.

Community Discussions

Trending Discussions on Dpex

How to change the legend of each datapoint?

QUESTION

How to change the legend of each datapoint?

Asked 2020-Mar-20 at 13:24

I want to compare experimental curve against a bunch of simulations data. The simulations tries to replicate a single point of the curve.

I can plot both the curve and the plots together, however the legend isn't what I need.

...

ANSWER

Answered 2020-Mar-20 at 12:55

Factors are no good choice for continuous data. Factors are good for categorical data. Simply add an id variable for each of your simulation points. Try this:

Source https://stackoverflow.com/questions/60774249

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

Vulnerabilities

No vulnerabilities reported

Install Dpex

You can download it from GitHub.
You can use Dpex 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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