MCLNN-theano | Masked ConditionaL Neural Networks

by fadymedhat Python Version: Current License: MIT

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

kandi X-RAY | MCLNN-theano Summary

MCLNN-theano is a Python library. MCLNN-theano has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Masked ConditionaL Neural Networks

Support

Quality

Security

License

Reuse

Support

MCLNN-theano has a low active ecosystem.

It has 14 star(s) with 6 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

MCLNN-theano has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MCLNN-theano is current.

Quality

MCLNN-theano has no bugs reported.

Security

MCLNN-theano has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

MCLNN-theano 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

MCLNN-theano 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.

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

Top functions reviewed by kandi - BETA

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

Run the visualization
Clip data based on segment_size
Builds the model
Evaluate a model
Navigate through a csv file
Process a batch of clip files
Load librosa
Store a set of clips
Build the keras
Construct binary mask
Visualize prediction for given epoch
Navigate through the source directory of the source

Get all kandi verified functions for this library.

MCLNN-theano Key Features

No Key Features are available at this moment for MCLNN-theano.

MCLNN-theano Examples and Code Snippets

No Code Snippets are available at this moment for MCLNN-theano.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install MCLNN-theano

You can download it from GitHub.
You can use MCLNN-theano 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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