DarkStar | Machine learning project to create new Grateful Dead shows

by maximinus Python Version: Current License: No License

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

kandi X-RAY | DarkStar Summary

DarkStar is a Python library. DarkStar has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

DarkStar is a project to generate new Grateful Dead shows from scratch. Sphinx documentation can be found in the docs folder. To build, you will need Python3. Then go into the /docs folder and run build.sh. To read, open the /docs/html/index.html file in a browser.

Support

Quality

Security

License

Reuse

Support

DarkStar has a low active ecosystem.

It has 2 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 4 open issues and 2 have been closed. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DarkStar is current.

Quality

DarkStar has no bugs reported.

Security

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

License

DarkStar does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Invert the wavefunction into a wavefunction .
Iterate over the spectrogram
Compute the overlap of a series .
Compute filterbanks .
Calculate the offset between two points .
Return a list of all files in the input path .
Sets up the mel files
Compute the discrete Fourier Transform .
Generate a spectral spectral spectrogram .
Converts input files to raw paths .

Get all kandi verified functions for this library.

DarkStar Key Features

No Key Features are available at this moment for DarkStar.

DarkStar Examples and Code Snippets

No Code Snippets are available at this moment for DarkStar.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install DarkStar

You can download it from GitHub.
You can use DarkStar 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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