orkhon | Orkhon : ML Inference Framework and Server Runtime | Machine Learning library

by vertexclique Rust Version: v0.2.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | orkhon Summary

orkhon is a Rust library typically used in Artificial Intelligence, Machine Learning applications. orkhon has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Orkhon is Rust framework for Machine Learning to run/use inference/prediction code written in Python, frozen models and process unseen data. It is mainly focused on serving models and processing unseen data in a performant manner. Instead of using Python directly and having scalability problems for servers this framework tries to solve them with built-in async API.

Support

Quality

Security

License

Reuse

Support

orkhon has a low active ecosystem.

It has 98 star(s) with 3 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 3 have been closed. On average issues are closed in 539 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of orkhon is v0.2.0

Quality

orkhon has no bugs reported.

Security

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

License

orkhon 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

orkhon releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of orkhon

Get all kandi verified functions for this library.

orkhon Key Features

No Key Features are available at this moment for orkhon.

orkhon Examples and Code Snippets

No Code Snippets are available at this moment for orkhon.

Community Discussions

Trending Discussions on orkhon

Ordering the bars in the ggplot stacked bar chart by value

Display words nicely without blank space with css

QUESTION

Ordering the bars in the ggplot stacked bar chart by value

Asked 2019-Apr-29 at 19:39

I acknowledge that there are many similar questions and I checked them, but still cannot resolve my problem.

Trying to create a stacked barchart in ggplot, but cannot order bars properly.

My data looks like this

...

ANSWER

Answered 2019-Apr-29 at 19:39

I think the reason you are not getting the order from reorder('Aimag/Capital', sumAmount) that you were expecting is because there is more than one value of sumAmount for each instance of 'Aimag/Capital' (one for Ground and the other for Surface). So I think the reorder function must be getting kind of lost. I imagine that you would like to order by the Total water usage (Ground + Surface). The way I did it was to compute the total water usage for each location and create an ordered factor according to this ranking. Then I can change the data format of column 'Aimag/Capital' to an ordered factor and feed it into ggplot.

Source https://stackoverflow.com/questions/55908977

QUESTION

Display words nicely without blank space with css

Asked 2018-Apr-24 at 22:23

Facing troubles to display nicely two words lists aside, inquiring some advises.

What I am looking to do is to display two words list in the screen sides, somewhat as a background cloud, keeping them aligned with the css direction (left to right, right to left)

Using calc or grid doesn't provide something better for me than the following snippet.

...

ANSWER

Answered 2018-Apr-24 at 22:21

You can simply use text-align: justify; to spread the words over the whole line due to increasing existing spaces.

Source https://stackoverflow.com/questions/50011331

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