sisy | Genetic Algorithms for neural network optimization | Machine Learning library

by qorrect Python Version: Current License: Apache-2.0

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

kandi X-RAY | sisy Summary

sisy is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. sisy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install sisy' or download it from GitHub, PyPI.

Sisy is still in development, to install it you would need to clone the repository and at the sisy/-root install it locally as a pip package wtih pip install -e . See Using Minos to do the heavy lifting, Sisy uses genetic algorithms to find the best topology and hyper parameters for your keras neural networks.

Support

Quality

Security

License

Reuse

Support

sisy has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sisy is current.

Quality

sisy has 0 bugs and 0 code smells.

Security

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

sisy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sisy is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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.

It has 11038 lines of code, 314 functions and 95 files.

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

Top functions reviewed by kandi - BETA

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

Runs a SSEy experiment .
Start training workers .
Train the model .
Performs a single model training .
Run a Gaussian search .
Configure logging .
Create a random layout .
Build a multiple GPU model .
Mix two layouts .
Return the next batch .

Get all kandi verified functions for this library.

sisy Key Features

No Key Features are available at this moment for sisy.

sisy Examples and Code Snippets

No Code Snippets are available at this moment for sisy.

Community Discussions

Trending Discussions on sisy

firebase error while trying to get SHA certificate fingerprints?

QUESTION

firebase error while trying to get SHA certificate fingerprints?

Asked 2018-Sep-10 at 13:02

While trying to get SHA certificate fingerprints I run this line and that was the result line:

...

ANSWER

Answered 2018-Sep-10 at 13:02

It looks like %USERPROFILE% returns a value with a space in it.
Try wrapping in quotes like

Source https://stackoverflow.com/questions/52257884

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

Vulnerabilities

No vulnerabilities reported

Install sisy

You can install using 'pip install sisy' or download it from GitHub, PyPI.
You can use sisy 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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