mixture-of-experts | Mixture of experts layers for Keras | Machine Learning library

by eminorhan Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | mixture-of-experts Summary

mixture-of-experts is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. mixture-of-experts has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However mixture-of-experts build file is not available. You can download it from GitHub.

This repository contains Keras layers implementing convolutional and dense mixture of experts models.

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mixture-of-experts has a low active ecosystem.

It has 62 star(s) with 13 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 14 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mixture-of-experts is current.

Quality

mixture-of-experts has no bugs reported.

Security

mixture-of-experts has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

mixture-of-experts is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

mixture-of-experts releases are not available. You will need to build from source code and install.

mixture-of-experts has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Build the expert kernel
Compute the output shape
Compute the Jacobian

Get all kandi verified functions for this library.

mixture-of-experts Key Features

No Key Features are available at this moment for mixture-of-experts.

mixture-of-experts Examples and Code Snippets

No Code Snippets are available at this moment for mixture-of-experts.

Community Discussions

Trending Discussions on mixture-of-experts

NoneType' object has no attribute '_inbound_nodes'

Mixture of experts - Train best model only at each iteration

QUESTION

NoneType' object has no attribute '_inbound_nodes'

Asked 2018-Oct-03 at 23:04

Hi I am trying to build a Mixture-of-experts neural network. I found a code here: http://blog.sina.com.cn/s/blog_dc3c53e90102x9xu.html. My goal is that the gate and expert come from different data, but with same dimensions.

...

ANSWER

Answered 2018-Oct-03 at 23:04

Well, you need to put tf.multiply() inside a Lambda layer to get a Keras Tensor as output (and not a Tensor):

Source https://stackoverflow.com/questions/52636328

QUESTION

Mixture of experts - Train best model only at each iteration

Asked 2017-Feb-08 at 22:58

I am trying to implement a crude method based on the Mixture-of-Experts paper in tensorflow - https://arxiv.org/abs/1701.06538

There would be n models defined:

...

ANSWER

Answered 2017-Feb-08 at 22:58

This seems to be doable with tf.cond:

Source https://stackoverflow.com/questions/42109590

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

Vulnerabilities

No vulnerabilities reported

Install mixture-of-experts

You can download it from GitHub.
You can use mixture-of-experts 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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