gcommands | Speech Commands Recognition using end-to-end deep learning | Speech library

by jarfo Python Version: Current License: Apache-2.0

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

kandi X-RAY | gcommands Summary

gcommands is a Python library typically used in Artificial Intelligence, Speech, Deep Learning, Pytorch applications. gcommands has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However gcommands build file is not available. You can download it from GitHub.

Speech Commands Recognition using end-to-end deep learning models in pytorch

Support

Quality

Security

License

Reuse

Support

gcommands has a low active ecosystem.

It has 23 star(s) with 8 fork(s). There are 4 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 150 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gcommands is current.

Quality

gcommands has no bugs reported.

Security

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

License

gcommands 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

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

gcommands has no build file. You will be need to create the build yourself to 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 gcommands and discovered the below as its top functions. This is intended to give you an instant insight into gcommands implemented functionality, and help decide if they suit your requirements.

Create a dataset
Calculate a segment based on wav file
Evaluate the given model
Train the model
Load a parameter file
Compute the FFT of a wave signal
Read a wav file
Generate a filter bank
R Normalize a logarithm
Apply preemphasis to y
Calculate a window of n times
Convert a frequency frequency to a melogram
Convert mel frequency to frequency

Get all kandi verified functions for this library.

gcommands Key Features

No Key Features are available at this moment for gcommands.

gcommands Examples and Code Snippets

No Code Snippets are available at this moment for gcommands.

Community Discussions

Trending Discussions on gcommands

ceylon run: Module default/unversioned not found

QUESTION

ceylon run: Module default/unversioned not found

Asked 2017-Feb-04 at 21:53

Today i installed the intelliJ ceylon IDE on my macbook. When compiling my project I get the following message

...

ANSWER

Answered 2017-Feb-04 at 11:31

That might be a bug with the IntelliJ plugin not handling "default" modules correctly. We tend not to use default modules much because they're more limited than regular modules.

Try creating a module and moving your code to it. THat will most likely fix the problem. If so you can then open an issue to have this bug fixed here: https://github.com/ceylon/ceylon-ide-intellij/issues/new

Source https://stackoverflow.com/questions/42034455

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

Vulnerabilities

No vulnerabilities reported

Install gcommands

You can download it from GitHub.
You can use gcommands 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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