jukebox VS ultimatevocalremovergui

Compare jukebox vs ultimatevocalremovergui and see what are their differences.

jukebox

Code for the paper "Jukebox: A Generative Model for Music" (by openai)
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jukebox ultimatevocalremovergui
129 82
7,427 13,686
1.1% -
0.0 9.1
11 months ago about 1 month ago
Python Python
GNU General Public License v3.0 or later MIT License
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.
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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.

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.

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.

What are some alternatives?

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

spleeter - Deezer source separation library including pretrained models.

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

Retrieval-based-Voice-Conversion-WebUI - Voice data <= 10 mins can also be used to train a good VC model!

vocal-remover - Vocal Remover using Deep Neural Networks

lucid-sonic-dreams

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

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

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

mpv-scripts - mpv lua scripts

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

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