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    Ultimate Vocal Remover (UVR5)

    Ultimate Vocal Remover (UVR5)

    GUI for a Vocal Remover that uses Deep Neural Networks

    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).
    Downloads: 769 This Week
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    Context Engineering Template

    Context Engineering Template

    Context engineering is the new vibe coding

    ...The repository provides templates such as CLAUDE.md for defining global project rules, INITIAL.md for feature requests, and folders for examples, PRPs, validation scripts, and settings to support systematic prompt generation and execution with tools like Claude Code. By using this template, teams can ensure consistency across AI outputs, reduce errors that stem from contextual misunderstandings, and build reusable patterns.
    Downloads: 1 This Week
    Last Update:
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    GLM-4.5V

    GLM-4.5V

    GLM-4.6V/4.5V/4.1V-Thinking, towards versatile multimodal reasoning

    ...GLM-4.5V emerged from a training framework that leverages scalable reinforcement learning (with curriculum sampling) to boost performance across tasks ranging from STEM problem solving to long-context reasoning, giving it broad applicability beyond narrow benchmarks. When it was released, it achieved state-of-the-art results on a large collection of public multimodal benchmarks for open-source models.
    Downloads: 2 This Week
    Last Update:
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  • 4
    vocal-separate

    vocal-separate

    An extremely simple tool for separating vocals and background music

    ...After processing, the tool outputs separate WAV files for each extracted stem, making it easy to export and use in audio editing or remix software.
    Downloads: 1 This Week
    Last Update:
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