Anjok07

    Anjok07/ultimatevocalremovergui

    #356 this week

    GUI for a Vocal Remover that uses Deep Neural Networks.

    machine-learning
    audio
    instrumental
    karaoke
    kareokee
    music
    Python
    MIT
    26.6K stars
    2.0K forks
    26.6K GitHub watchers
    Updated Oct 12, 2026
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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #356 of 1,950 repositories GStars tracks this week (top 18%).

    The project lists 8 contributors on GitHub.

    Use Cases & Benefits

    • Provides a graphical interface to remove vocals from audio files using deep neural network source separation models.
    • Delivers state-of-the-art vocal separation with easy-to-use GUI and pre-trained models requiring no prerequisite setup.
    • Use for creating karaoke tracks by isolating instrumentals from songs for personal or professional use.
    • Use for audio engineers needing to extract or suppress vocals in music production and remixing workflows.
    • Use for researchers or hobbyists experimenting with audio source separation and neural network model performance.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present

    Watch-outs

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    From the README

    This application uses state-of-the-art source separation models to remove vocals from audio files. UVR's core developers trained all of the models provided in this package (except for the Demucs v3 and v4 4-stem models).

    These bundles contain the UVR interface, Python, PyTorch, and other dependencies needed to run the application effectively. No prerequisites are required.

    Excerpt from the Anjok07/ultimatevocalremovergui README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    2.0K+118

    Open issues

    1.6K+77

    Compared with peers in Machine Learning

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth

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