kandi X-RAY | MIDI-VAE Summary
kandi X-RAY | MIDI-VAE Summary
MIDI-VAE is a Python library typically used in Telecommunications, Media, Media, Entertainment applications. MIDI-VAE has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However MIDI-VAE build file is not available. You can download it from GitHub.
MIDI-VAE
MIDI-VAE
Support
Quality
Security
License
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Support
MIDI-VAE has a low active ecosystem.
It has 42 star(s) with 13 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 470 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of MIDI-VAE is current.
Quality
MIDI-VAE has no bugs reported.
Security
MIDI-VAE has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
MIDI-VAE 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
MIDI-VAE releases are not available. You will need to build from source code and install.
MIDI-VAE has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed MIDI-VAE and discovered the below as its top functions. This is intended to give you an instant insight into MIDI-VAE implemented functionality, and help decide if they suit your requirements.
- Generate a latent sweep over a set of dimensions
- Draw the difference between two pianorolls
- Process the decoder outputs
- Prepare data for drawing
- Convert an instrument vector to a list of programs
- Given a list of instrument dictionaries determine the best prediction for each instrument
- Converts a monophonic pianoroll to a khot
- Create a LSTM model
- Builds the composer decoder for the given notes
- Build the composer decoder for the given instrument
- Builds a composer decoder decoder
- Runs the test
- Prepare the encoder input list
- Prepare the autoencoder input
- Import MIDI from folder
- Load the rolls from a MIDI file
- Convert a pianoroll to a PrettyMIDI
- Generates a signature from a pianoroll
- Extract the signature from a pianoroll
- Convert a pianoroll of a pianoroll to khot
- Generate a signature from a pianoroll
- Prepare autoencoder input for autoencoder
- Compute the prediction of the predicted predictions
- Computes the Mahalanobis distance between x and cov
- Restructure a song to fit the given data
- Draws a pianoroll
- Calculate the phononicity score of a pianoroll
- Given a list of dictionaries and a list of instrument dictionaries determine the best match
- Convert an instrument list into a list of programs
- Prepare the y - axis for drawing
- Draws the difference between two pianorolls
- Prepare encoder input list
- Convert a pianoroll into a PrettyMIDI
- Processes the decoder outputs
Get all kandi verified functions for this library.
MIDI-VAE Key Features
No Key Features are available at this moment for MIDI-VAE.
MIDI-VAE Examples and Code Snippets
No Code Snippets are available at this moment for MIDI-VAE.
Community Discussions
No Community Discussions are available at this moment for MIDI-VAE.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install MIDI-VAE
You can download it from GitHub.
You can use MIDI-VAE 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 MIDI-VAE 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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