MidiNet | repository contains the source code

by RichardYang40148 Python Version: Current License: No License

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

kandi X-RAY | MidiNet Summary

MidiNet is a Python library. MidiNet has no bugs, it has no vulnerabilities and it has low support. However MidiNet build file is not available. You can download it from GitHub.

This repository contains the source code of MdidNet : A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation

Support

Quality

Security

License

Reuse

Support

MidiNet has a low active ecosystem.

It has 165 star(s) with 43 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 12 have been closed. On average issues are closed in 59 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MidiNet is current.

Quality

MidiNet has 0 bugs and 0 code smells.

Security

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

MidiNet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MidiNet 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

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

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

MidiNet saves you 29 person hours of effort in developing the same functionality from scratch.

It has 78 lines of code, 9 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Train the model .
Convert layers to JSON .
Donv2d convolutional layer .
Main function .
Generate sample labels .
Generate samples .
Compute the binary cross entropy .
Make a gif from a list of images .
Create a linear layer .
2D convolution layer .

Get all kandi verified functions for this library.

MidiNet Key Features

No Key Features are available at this moment for MidiNet.

MidiNet Examples and Code Snippets

No Code Snippets are available at this moment for MidiNet.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install MidiNet

You can download it from GitHub.
You can use MidiNet 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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