rennet | Deep Learning Utilities for Audio Segmentation | Machine Learning library

by fraunhofer-iais Python Version: Current License: Apache-2.0

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

kandi X-RAY | rennet Summary

rennet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. rennet 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.

Deep Learning Utilities for Audio Segmentation

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Quality

Security

License

Reuse

Support

rennet has a low active ecosystem.

It has 5 star(s) with 4 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

rennet has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rennet is current.

Quality

rennet has no bugs reported.

Security

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

License

rennet 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

rennet 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, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Predict on inputs
Viterbi decomposition
Compute the confusion matrix for each category
Generic Confmatrix for concatenation
Returns a copy of the inputs that are shuffled
Generate a set of labels
Prepare a list of Segments
Return labels at the given indices
Set a new samplerate
Perform pre - sampling
Return an instance for the given callids
Apply the model to a file
Compute the confusion matrix
Prepped data
Plot a confusion matrix
Plot a normalized confusion matrix
Calculate the log - likelihood
Create speaker from annotations
Return an instance of the CallId given a filepath
Overlay the speaker with another
Read an EAF file
Normalize an array along a given axis
Create a SequenceLabel object from a file
Plot confusion history
Returns a copy of the input data
Return the labels for the given indices

Get all kandi verified functions for this library.

rennet Key Features

No Key Features are available at this moment for rennet.

rennet Examples and Code Snippets

No Code Snippets are available at this moment for rennet.

Community Discussions

Trending Discussions on rennet

Vuejs how to display Div if an array contains a value [Solved]

QUESTION

Vuejs how to display Div if an array contains a value [Solved]

Asked 2020-Mar-24 at 20:38

I'm trying to display images based on the contents of an array.

I'm building a menu like page for a cafeteria. I need to display each items allergens but can't figure out how to use v-if to display a div containing the corresponding allergen image if it's contained in the allergens array. I'm pulling all of the data from an api that I don't have control over. This is a sample of what the api returns.

...

ANSWER

Answered 2020-Feb-04 at 19:03

What if you used an object to store the relationship between allergen strings and their corresponding images? Something like this:

Source https://stackoverflow.com/questions/60063022

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

Vulnerabilities

No vulnerabilities reported

Install rennet

At the moment, RENNET is not available on PyPI as a downloadable package.
analysis :: for data-analysis and preparation tasks alongside the package.
test :: for testing the package.
dev :: for development on the package (use -e to install it in editable form).

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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