ultimatevocalremovergui VS jukebox

Compare ultimatevocalremovergui vs jukebox and see what are their differences.

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ultimatevocalremovergui jukebox
82 129
14,928 7,571
- 0.5%
8.7 0.0
6 days ago 2 months ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ultimatevocalremovergui

Posts with mentions or reviews of ultimatevocalremovergui. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-02.

jukebox

Posts with mentions or reviews of jukebox. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-02.

What are some alternatives?

When comparing ultimatevocalremovergui and jukebox you can also consider the following projects:

spleeter - Deezer source separation library including pretrained models.

lucid-sonic-dreams

demucs - Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.

Retrieval-based-Voice-Conversion-WebUI - Easily train a good VC model with voice data <= 10 mins!

music-demixing-challenge-starter-kit - Starter kit for getting started in the Music Demixing Challenge.

vocal-remover - Vocal Remover using Deep Neural Networks

dalle-mini - DALL·E Mini - Generate images from a text prompt

so-vits-svc-fork - so-vits-svc fork with realtime support, improved interface and more features.

latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models

mpv-scripts - mpv lua scripts

gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"