OctaveConv | A MXNet Implementation for Drop an Octave

by terrychenism Python Version: Current License: No License

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

kandi X-RAY | OctaveConv Summary

OctaveConv is a Python library. OctaveConv has no vulnerabilities and it has low support. However OctaveConv has 2 bugs and it build file is not available. You can download it from GitHub.

A MXNet Implementation for Drop an Octave. This repository contains a MXNet implementation of the paper Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution. OctResNet-v1-50-cosine model used alpha = 0.25 in the table 2 of the paper.

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Quality

Security

License

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Support

OctaveConv has a low active ecosystem.

It has 494 star(s) with 93 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 2 have been closed. On average issues are closed in 9 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of OctaveConv is current.

Quality

OctaveConv has 2 bugs (0 blocker, 0 critical, 2 major, 0 minor) and 47 code smells.

Security

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

OctaveConv code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

OctaveConv 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

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

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

OctaveConv saves you 114 person hours of effort in developing the same functionality from scratch.

It has 289 lines of code, 27 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Get symbol
Get before pooling
Convolutional convolution
First octet conv layer
Residual filter
Residual unit
Calculate the last octet convolution
Residual unit norm
Convolution layer
Get a linear layer
Convolutional BN
Convolutional convolution layer
Conv convolution layer
Create a convolution layer
Compute the last octave convolution
A convolutional layer
Conv convolutional convolution
Convenience function to create a network
ANN convolutional layer
A convolutional CNN

Get all kandi verified functions for this library.

OctaveConv Key Features

No Key Features are available at this moment for OctaveConv.

OctaveConv Examples and Code Snippets

No Code Snippets are available at this moment for OctaveConv.

Community Discussions

No Community Discussions are available at this moment for OctaveConv.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install OctaveConv

You can download it from GitHub.
You can use OctaveConv 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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