MusicGenerator | Experiment diverse Deep learning models for music | Machine Learning library

by Conchylicultor Python Version: Current License: Apache-2.0

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

kandi X-RAY | MusicGenerator Summary

MusicGenerator is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras, Neural Network applications. MusicGenerator has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However MusicGenerator build file is not available. You can download it from GitHub.

Experiment diverse Deep learning models for music generation with TensorFlow

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Quality

Security

License

Reuse

Support

MusicGenerator has a low active ecosystem.

It has 274 star(s) with 71 fork(s). There are 33 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 8 have been closed. On average issues are closed in 142 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MusicGenerator is current.

Quality

MusicGenerator has 0 bugs and 0 code smells.

Security

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

MusicGenerator code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MusicGenerator 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

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

MusicGenerator has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are available. Examples and code snippets are not available.

MusicGenerator saves you 766 person hours of effort in developing the same functionality from scratch.

It has 1763 lines of code, 185 functions and 19 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Main training loop
Save parameters to configparser
Return the model name
Saves the given session
Load a MIDI file
Set the instrument
Run the test
Return list of model names
Performs a single step
Generate generator
Print all the results of each module
Save all modules
Process a single song
Get device name
Convert midi files to MP3
Print current parameters
Convert a song to a NumPy array
Convert an array to a music song
Register all modules
Reconstruct a batch of notes
Get a list of extracted songs
Restore the previous model
Restore the dataset
Write a MIDI song to a MIDI file
Restore the model parameters
Parse command line arguments

Get all kandi verified functions for this library.

MusicGenerator Key Features

No Key Features are available at this moment for MusicGenerator.

MusicGenerator Examples and Code Snippets

No Code Snippets are available at this moment for MusicGenerator.

Community Discussions

Trending Discussions on MusicGenerator

Installing specific tensorflow branch with pip

QUESTION

Installing specific tensorflow branch with pip

Asked 2018-Dec-11 at 16:49

I am working on this project which was tested with tensorflow v0.10.0rc0.

I don't want to take any dependency risks, and I'm a bit confused about this syntax version (instead of less cryptic 1.0, 1.1, 1.2, 1.3and 1.4 versions)

so how do I safely install this v0.10.0rc0 version using a pip command?

...

ANSWER

Answered 2017-Nov-19 at 01:32

To install a specific version with pip:

Source https://stackoverflow.com/questions/47372856

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

Vulnerabilities

No vulnerabilities reported

Install MusicGenerator

The program requires the following dependencies (easy to install using pip):.
Python 3
TensorFlow (tested with v0.10.0rc0. Won't work with previous versions)
CUDA (for using gpu, see TensorFlow installation page for more details)
Numpy (should be installed with TensorFlow)
Mido (midi library)
Tqdm (for the nice progression bars)
OpenCv (Sorry, there is no simple way to install it with python 3. It's primarily used as visualisation tool to print the piano roll so is quite optional. All OpenCv calls are contained inside the imgconnector file so if you want to use test the program without OpenCv, you can try removing the functions inside the file)

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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