|11 months ago||17 days ago|
|MIT License||MIT License|
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.
Anycost GANs for Interactive Image Synthesis and Editing
1 project | news.ycombinator.com | 20 Mar 2021
Imagined ML model deployment on normal machine, is it possible?
5 projects | reddit.com/r/learnmachinelearning | 6 Mar 2022
Code for training your own [original] [simple] [light]
[P] - These Nebulae Do Not Exist
1 project | reddit.com/r/MachineLearning | 6 Mar 2022
Trained lightweight-gan on public domain nebulae images. The blogpost covers how it was assembled end-to-end, from data scraping, to model training, and finally deploying it as a web app using free cloud services only
Questi politici italiani non esistono
1 project | reddit.com/r/italy | 6 Feb 2022
It begins! [Sixth World Music Comp Update]
2 projects | reddit.com/r/sixthworldmusic | 8 Aug 2021
https://github.com/lucidrains/stylegan2-pytorch is the simplest implementation I know of, and https://github.com/lucidrains/lightweight-gan is similar but designed for relatively lower performance machines.
Bow Generation Using Lightweight GAN (In Progress)
1 project | reddit.com/r/Terraria | 7 Apr 2021
GAN-generated Minecraft skins
1 project | reddit.com/r/MediaSynthesis | 6 Feb 2021
I also regret using https://github.com/lucidrains/lightweight-gan over the standard StyleGAN2. The training time wasn't an issue for 128x128 images and I should have gone for the higher quality model.
GAN-generated "Now That's What I Call Music!" CDs
1 project | reddit.com/r/MediaSynthesis | 27 Jan 2021
GAN-generated "Now That's What I Call Music!" covers
1 project | reddit.com/r/deepdream | 24 Jan 2021
It's hard to tell if the medicore results are due to the small dataset (~305 semi-aligned images, yes there's that many of these) or my own inexperience in GAN generation (i used https://github.com/lucidrains/lightweight-gan and the only changes i made from the defaults were to decrease the batch size and add color augmentation)
What are some alternatives?
HyperGAN - Composable GAN framework with api and user interface
PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
Anime-face-generation-DCGAN-webapp - A port of my Anime face generation using Pytorch into a Webapp
DeepSIM - Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
alias-free-gan-pytorch - Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch
pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
stylegan-waifu-generator - Generate your waifu with styleGAN, stylegan老婆生成器
GIMP-ML - AI for GNU Image Manipulation Program