pillbox VS AvatarGAN

Compare pillbox vs AvatarGAN and see what are their differences.

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pillbox AvatarGAN
2 1
21 62
- -
0.0 3.8
about 2 years ago 7 months ago
Jupyter Notebook Jupyter Notebook
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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.

pillbox

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

AvatarGAN

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

What are some alternatives?

When comparing pillbox and AvatarGAN you can also consider the following projects:

daydreamer - DayDreamer: World Models for Physical Robot Learning

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

GAN-Anime-Characters - Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

RefinementGAN - Official implementation of the paper: https://arxiv.org/abs/2108.04957

Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

faceswap-GAN - A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.