keras-toolbox | Your every day Keras toolbox | Machine Learning library

by hadim Python Version: 0.1.2 License: Non-SPDX

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

kandi X-RAY | keras-toolbox Summary

keras-toolbox is a Python library typically used in Artificial Intelligence, Machine Learning, Keras applications. keras-toolbox has no bugs, it has no vulnerabilities, it has build file available and it has low support. However keras-toolbox has a Non-SPDX License. You can install using 'pip install keras-toolbox' or download it from GitHub, PyPI.

Your every day Keras toolbox.

Support

Quality

Security

License

Reuse

Support

keras-toolbox has a low active ecosystem.

It has 77 star(s) with 16 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 2 have been closed. On average issues are closed in 83 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of keras-toolbox is 0.1.2

Quality

keras-toolbox has 0 bugs and 0 code smells.

Security

keras-toolbox has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

keras-toolbox code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

keras-toolbox has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

keras-toolbox releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

keras-toolbox saves you 174 person hours of effort in developing the same functionality from scratch.

It has 430 lines of code, 38 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Augment X and Y
Transform images using elastic transformation
Random shift a matrix
Generate a random rotation matrix
Apply a transformation to an array
Transform transformation matrix to center coordinates
Plot all layers of the model
Generate a mosaic mosaic of weights
Make a mosaic image
Called when epoch is finished
Average minute per epoch
Plot all features for a given model
Plot a feature map
Plot weights of a layer
Initialize the model
Finalize training

Get all kandi verified functions for this library.

keras-toolbox Key Features

No Key Features are available at this moment for keras-toolbox.

keras-toolbox Examples and Code Snippets

No Code Snippets are available at this moment for keras-toolbox.

Community Discussions

Trending Discussions on keras-toolbox

Hyperas: How to deal with this IndentationError?

QUESTION

Hyperas: How to deal with this IndentationError?

Asked 2017-Apr-20 at 20:07

I am using python=3.5 on a windows computer and trying to create a grid search in keras using hyperas. I keep getting either this error:

...

ANSWER

Answered 2017-Apr-20 at 20:07

I used pip to install hyperas and it gave me and old version.

I did pip install git+https://github.com/maxpumperla/hyperas.git@master --upgrade and it gave me the right version.

Source https://stackoverflow.com/questions/43526595

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

Vulnerabilities

No vulnerabilities reported

Install keras-toolbox

You can install using 'pip install keras-toolbox' or download it from GitHub, PyPI.
You can use keras-toolbox 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.