music_rnn | Music Language Modeling with Recurrent Neural Networks

 by   yoavz Python Version: Current License: No License

kandi X-RAY | music_rnn Summary

kandi X-RAY | music_rnn Summary

music_rnn is a Python library. music_rnn has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Music Language Modeling with Recurrent Neural Networks
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            kandi-support Support

              music_rnn has a low active ecosystem.
              It has 193 star(s) with 39 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 2 have been closed. On average issues are closed in 178 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of music_rnn is current.

            kandi-Quality Quality

              music_rnn has 0 bugs and 0 code smells.

            kandi-Security Security

              music_rnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              music_rnn code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              music_rnn does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              music_rnn releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              music_rnn saves you 641 person hours of effort in developing the same functionality from scratch.
              It has 1489 lines of code, 52 functions and 11 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed music_rnn and discovered the below as its top functions. This is intended to give you an instant insight into music_rnn implemented functionality, and help decide if they suit your requirements.
            • Parse a Nottingham to a sequence of tracks .
            • Prepare a pickle file .
            • Calculate the accuracy .
            • Dump a sequence to a MIDI file .
            • Parse a MIDI file into a sequence of Track events .
            • Round a sequence of notes to track_ticks .
            • Calculates the accuracy between two trials .
            • Extract notes from a track .
            • Parses input directory and returns a list of sequences .
            • Sample a list of notes .
            Get all kandi verified functions for this library.

            music_rnn Key Features

            No Key Features are available at this moment for music_rnn.

            music_rnn Examples and Code Snippets

            No Code Snippets are available at this moment for music_rnn.

            Community Discussions

            QUESTION

            Uncaught (in promise) Error: Number of splits must evenly divide the axis
            Asked 2020-Jul-26 at 18:11
            Summary
            1. Context
            2. The problem
            3. What did I try to fix this bug?
            4. How to reproduce this bug (+ required data)?
            5. My questions
            6. Sources
            Context

            I would want to generate a new sequence of notes of a MIDI file thanks to MusicRNN chord_pitches_improv.

            The problem

            My call to music_rnn.continueSequence triggers the following error:

            Uncaught (in promise) Error: Number of splits must evenly divide the axis. at C (music:22) at split_ (music:22) at Module.split (music:22) at t.sampleRnn (music:83) at music:83 at music:22 at t.scopedRun (music:22) at t.tidy (music:22) at Module.$e (music:22) at t. (music:83)

            What did I try to fix this bug?

            Nothing because I don't even understand the error. Note: I have MuseScore. So If something must be changed in the MIDI file, I can do it.

            How to reproduce this bug (+ required data)?
            1. Download the following MIDI file: https://a.uguu.se/kP1iJ4JVeTrD_b.mid and rename it "b.mid"

            2. Create a directory in which you store the MIDI file

            3. In this same directory, create a file titled index.html: copy/paste in this HTML file the code provided below (section "Sources")

            4. Open your browser and open this HTML file: my script will automatically be executed, and the error will be triggered.

            My questions

            What does this error mean? How could I fix it? Should I change something in the MIDI file (if yes: what? How? Can I use MuseScore to do it?)?

            Sources ...

            ANSWER

            Answered 2020-Jul-26 at 18:11

            I got same error when I was trying to quantize my note sequence which was already in quantized format. It is worthy to check your note sequence format.

            Source https://stackoverflow.com/questions/62360586

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

            Vulnerabilities

            No vulnerabilities reported

            Install music_rnn

            You can download it from GitHub.
            You can use music_rnn 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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          • HTTPS

            https://github.com/yoavz/music_rnn.git

          • CLI

            gh repo clone yoavz/music_rnn

          • sshUrl

            git@github.com:yoavz/music_rnn.git

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