scatnet_learn | Repo containing code to do the learnable scatternet

by fbcotter Python Version: Current License: No License

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

kandi X-RAY | scatnet_learn Summary

scatnet_learn is a Python library. scatnet_learn has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Repo containing code to do the learnable scatternet/invariant convolutional layer

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Quality

Security

License

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Support

scatnet_learn has a low active ecosystem.

It has 23 star(s) with 6 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of scatnet_learn is current.

Quality

scatnet_learn has no bugs reported.

Security

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

License

scatnet_learn 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

scatnet_learn 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.

Top functions reviewed by kandi - BETA

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

Loads the cifar10 dataset
Compute md5 checksum of a file
Download CIFAR10 data
Download a file
Get data for training
Provide a subsample of the images
Set up training and test loader
Update the statistics
Forward scattering
Convert an integer to a mode name
Generate a changelayer
Restore the state of a checkpoint
Save the model to a checkpoint directory
Builds the filter matrix
Get the version number
Second layer filter
Inverse inverse of filter1
Save experiment info file
Save ACC_TEMPLATE rst file
Compute the forward gradient
Run the test
Compute the convolutional gradient
Validate the given loader
Train the model
Forward the input array
Setup the MNIST dataset

Get all kandi verified functions for this library.

scatnet_learn Key Features

No Key Features are available at this moment for scatnet_learn.

scatnet_learn Examples and Code Snippets

No Code Snippets are available at this moment for scatnet_learn.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install scatnet_learn

You can download it from GitHub.
You can use scatnet_learn 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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