FractalNet | Implementation of FractalNet

by tensorpro Python Version: Current License: MIT

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

kandi X-RAY | FractalNet Summary

FractalNet is a Python library. FractalNet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However FractalNet build file is not available. You can download it from GitHub.

Implementation of FractalNet (in TensorFlow. Fractal blocks have components with separated columns, as well as the fractal layout. For rounds of training with global drop path, the separated layout is used. In all other cases, the fractal layout is used.

Support

Quality

Security

License

Reuse

Support

FractalNet has a low active ecosystem.

It has 47 star(s) with 13 fork(s). There are 4 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 1154 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FractalNet is current.

Quality

FractalNet has 0 bugs and 0 code smells.

Security

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

FractalNet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FractalNet 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

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

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

FractalNet saves you 65 person hours of effort in developing the same functionality from scratch.

It has 170 lines of code, 10 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

A 2D convolutional convolutional layer
Create fractal template
Perform a join on columns
Applies a mask to columns
Drop the given columns
A coin flip
Return a random column from the given columns
Computes the drop path for the given column
Returns the shape of a tensor

Get all kandi verified functions for this library.

FractalNet Key Features

No Key Features are available at this moment for FractalNet.

FractalNet Examples and Code Snippets

No Code Snippets are available at this moment for FractalNet.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install FractalNet

You can download it from GitHub.
You can use FractalNet 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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