tempo-cnn | estimating temporal properties of music tracks
kandi X-RAY | tempo-cnn Summary
kandi X-RAY | tempo-cnn Summary
tempo-cnn is a Python library typically used in Telecommunications, Media, Media, Entertainment applications. tempo-cnn has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install tempo-cnn' or download it from GitHub, PyPI.
Framework for estimating temporal properties of music tracks.
Framework for estimating temporal properties of music tracks.
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Quality
Security
License
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Support
tempo-cnn has a low active ecosystem.
It has 44 star(s) with 9 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 2 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of tempo-cnn is v0.0.6
Quality
tempo-cnn has no bugs reported.
Security
tempo-cnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
tempo-cnn is licensed under the AGPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
tempo-cnn releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed tempo-cnn and discovered the below as its top functions. This is intended to give you an instant insight into tempo-cnn implemented functionality, and help decide if they suit your requirements.
- Calculate temperature distribution
- Estimate the value of the model
- Calculate the norm of the predictions
- Determine bounding box limits
- Calculate the tempo for a given file
- Estimate the probability for an image
- Calculate the argmax for quadratic interpolation
- Estimate the temperature for a given prediction
- Main meter function
- Estimate the value for the model
- Estimate the meter
- Command line tool
- Extract a model from a github package
- Try to load a model from GitHub
Get all kandi verified functions for this library.
tempo-cnn Key Features
No Key Features are available at this moment for tempo-cnn.
tempo-cnn Examples and Code Snippets
No Code Snippets are available at this moment for tempo-cnn.
Community Discussions
No Community Discussions are available at this moment for tempo-cnn.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tempo-cnn
You can install using 'pip install tempo-cnn' or download it from GitHub, PyPI.
You can use tempo-cnn 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.
You can use tempo-cnn 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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