Classical-Piano-Composer | project allows you to train a neural network | Audio Utils library

by Skuldur Python Version: Current License: MIT

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

kandi X-RAY | Classical-Piano-Composer Summary

Classical-Piano-Composer is a Python library typically used in Audio, Audio Utils applications. Classical-Piano-Composer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Classical-Piano-Composer build file is not available. You can download it from GitHub.

This project allows you to train a neural network to generate midi music files that make use of a single instrument.

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Support

Classical-Piano-Composer has a low active ecosystem.

It has 539 star(s) with 288 fork(s). There are 28 watchers for this library.

It had no major release in the last 6 months.

There are 22 open issues and 16 have been closed. On average issues are closed in 71 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Classical-Piano-Composer is current.

Quality

Classical-Piano-Composer has 0 bugs and 0 code smells.

Security

Classical-Piano-Composer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Classical-Piano-Composer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Classical-Piano-Composer 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

Classical-Piano-Composer releases are not available. You will need to build from source code and install.

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

Generate the neural network
Create a midi plot from the prediction output
Prepare input sequences for LSTM
Create a LSTM model
Generate the notes for the given pattern
Train the network
Get notes from midi_songs
Train the model

Get all kandi verified functions for this library.

Classical-Piano-Composer Key Features

No Key Features are available at this moment for Classical-Piano-Composer.

Classical-Piano-Composer Examples and Code Snippets

No Code Snippets are available at this moment for Classical-Piano-Composer.

Community Discussions

Trending Discussions on Classical-Piano-Composer

reading MIDI file using music21 with partitionByInstrument() to get notes and chords returning empty list

QUESTION

reading MIDI file using music21 with partitionByInstrument() to get notes and chords returning empty list

Asked 2020-Oct-23 at 10:57

I'm trying to use the code from this github repository's .py file (the get_notes() function) to extract the notes and chords data from this midi file. Here is the exact code copied from the repo I'm using:

...

ANSWER

Answered 2020-Oct-23 at 10:57

It was simply the fact that it was taking the first instrument it found, which had no data for notes, durations or offsets. Iterating through the instruments I got different ones returning full lists.

Source https://stackoverflow.com/questions/64413988

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

Vulnerabilities

No vulnerabilities reported

Install Classical-Piano-Composer

You can download it from GitHub.
You can use Classical-Piano-Composer 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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