RNN-Drummer-Swift | recurrent neural network to teach the iPhone to play drums

by hollance Python Version: Current License: No License

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

kandi X-RAY | RNN-Drummer-Swift Summary

RNN-Drummer-Swift is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. RNN-Drummer-Swift has no bugs, it has no vulnerabilities and it has low support. However RNN-Drummer-Swift build file is not available. You can download it from GitHub.

Using a recurrent neural network to teach the iPhone to play drums

Support

Quality

Security

License

Reuse

Support

RNN-Drummer-Swift has a low active ecosystem.

It has 40 star(s) with 9 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

RNN-Drummer-Swift has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RNN-Drummer-Swift is current.

Quality

RNN-Drummer-Swift has 0 bugs and 15 code smells.

Security

RNN-Drummer-Swift has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

RNN-Drummer-Swift code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

RNN-Drummer-Swift 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

RNN-Drummer-Swift releases are not available. You will need to build from source code and install.

RNN-Drummer-Swift 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.

RNN-Drummer-Swift saves you 195 person hours of effort in developing the same functionality from scratch.

It has 480 lines of code, 31 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Imports a MIDI file
Skip bytes from f
Returns the next byte from the stream
Read a single chunk
Read MIDI
Read a track from a file
Read a byte from the file
Reads the length of a variable
Train RNN
Get a range from start to end
Prepare the weights for training
Return next batch
Train the model
Sample from the RNN
Sample from the given data
Writes a variable length to a file
Write a MIDI file to a MIDI file
Create the graph
Generate random notes
Print usage of the script

Get all kandi verified functions for this library.

RNN-Drummer-Swift Key Features

No Key Features are available at this moment for RNN-Drummer-Swift.

RNN-Drummer-Swift Examples and Code Snippets

No Code Snippets are available at this moment for RNN-Drummer-Swift.

Community Discussions

No Community Discussions are available at this moment for RNN-Drummer-Swift.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install RNN-Drummer-Swift

You can download it from GitHub.
You can use RNN-Drummer-Swift 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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