ALAE VS jukebox

Compare ALAE vs jukebox and see what are their differences.

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ALAE jukebox
1 47
3,201 4,919
- 1.9%
0.0 0.0
about 1 year ago 5 months ago
Python Python
- 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.

ALAE

Posts with mentions or reviews of ALAE. We have used some of these posts to build our list of alternatives and similar projects.

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 2021-12-25.

What are some alternatives?

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

lucid-sonic-dreams

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

spleeter - Deezer source separation library including pretrained models.

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

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

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

simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch

stargan-v2 - StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

sequitur - Library of autoencoders for sequential data