ALAE VS stargan-v2

Compare ALAE vs stargan-v2 and see what are their differences.

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ALAE stargan-v2
1 1
3,201 2,738
- 2.3%
0.0 3.1
about 1 year ago 2 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.
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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.

ALAE

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

stargan-v2

Posts with mentions or reviews of stargan-v2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-20.
  • How to Run stargan2 on Google Colab
    2 projects | dev.to | 20 Jul 2021
    This version of StarGAN2 (coined as 'Post-modern Style Transfer') is intended mostly for fellow artists, who rarely look at scientific metrics, but rather need a working creative tool. At least, this is what I use nearly daily myself. Here are few pieces, made with it: Terminal Blink, Occurro, etc. Tested on Pytorch 1.4-1.8. Sequence-to-video conversions require FFMPEG. For more explicit details refer to the original implementation.

What are some alternatives?

When comparing ALAE and stargan-v2 you can also consider the following projects:

jukebox - Code for the paper "Jukebox: A Generative Model for Music"

AvatarMe - Public repository for the CVPR 2020 paper AvatarMe and the TPAMI 2021 AvatarMe++

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

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

These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁

aitg - plug and play gpt-2/3 (and more) for http api or command line!

meshed-memory-transformer - Meshed-Memory Transformer for Image Captioning. CVPR 2020

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

stargan2 - StarGAN2 for practice

StyleFlow - StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)

sequitur - Library of autoencoders for sequential data