jukebox VS music-demixing-challenge-starter-kit

Compare jukebox vs music-demixing-challenge-starter-kit and see what are their differences.


Code for the paper "Jukebox: A Generative Model for Music" (by openai)


Starter kit for getting started in the Music Demixing Challenge. (by AIcrowd)
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jukebox music-demixing-challenge-starter-kit
129 1
7,427 127
1.1% 5.5%
0.0 0.0
11 months ago over 2 years 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.
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.


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.


Posts with mentions or reviews of music-demixing-challenge-starter-kit. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning music-demixing-challenge-starter-kit yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing jukebox and music-demixing-challenge-starter-kit you can also consider the following projects:


ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.

spleeter - Deezer source separation library including pretrained models.

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

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

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

ALAE - [CVPR2020] Adversarial Latent Autoencoders

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

musiclm-pytorch - Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

tt-vae-gan - Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

stargate - Innovation-first digital audio workstation (DAW), instrument and effect plugins, wave editor