MixPath | Unified Approach for One-shot Neural Architecture | Network Attached Storage library

by xiaomi-automl Python Version: Current License: No License

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

kandi X-RAY | MixPath Summary

MixPath is a Python library typically used in Storage, Network Attached Storage, Pytorch applications. MixPath has no bugs, it has no vulnerabilities and it has low support. However MixPath build file is not available. You can download it from GitHub.

This repo provides the supernet of S1 and our confirmatory experiments on NAS-Bench-101.

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Quality

Security

License

Reuse

Support

MixPath has a low active ecosystem.

It has 28 star(s) with 6 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 0 have been closed. On average issues are closed in 169 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of MixPath is current.

Quality

MixPath has 0 bugs and 0 code smells.

Security

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

MixPath code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MixPath 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

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

MixPath 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.

MixPath saves you 383 person hours of effort in developing the same functionality from scratch.

It has 913 lines of code, 49 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Updates the sum
Get command line arguments
Validate search
Calculate the accuracy of the model
Convert a convolution matrix into a 2x3 matrix
Validate the CAL objective function
Return a random choice
Set random seed
Separate base parameters from a model

Get all kandi verified functions for this library.

MixPath Key Features

No Key Features are available at this moment for MixPath.

MixPath Examples and Code Snippets

No Code Snippets are available at this moment for MixPath.

Community Discussions

Trending Discussions on MixPath

How to read mix-manifest.json from javascript

QUESTION

How to read mix-manifest.json from javascript

Asked 2020-Jan-03 at 20:03

I cached my images using laravel-mix. For the image in blade, it works. However I couldn't figure out how to access that versioned paths from javascript.

Is it possible to read mix-manifest.json from compiled javascript? So that I can create a mixin and get the versioned paths

For example, in my mix-manifest.json I have

"/images/hello.svg": "/images/hello.svg?id=0360de485c68385550da",

and I thought if I can read the mix-manifest.json from my compiled javascript, I can create a helper method like

...

ANSWER

Answered 2020-Jan-03 at 20:03

I could access mix-manifest.json with

Source https://stackoverflow.com/questions/59583374

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

Vulnerabilities

No vulnerabilities reported

Install MixPath

You can download it from GitHub.
You can use MixPath 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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