Transformer-in-Transformer VS AvatarGAN

Compare Transformer-in-Transformer vs AvatarGAN and see what are their differences.

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Transformer-in-Transformer AvatarGAN
4 1
41 61
- -
0.0 3.8
about 2 years ago 7 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 -
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.

Transformer-in-Transformer

Posts with mentions or reviews of Transformer-in-Transformer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-06.

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 Transformer-in-Transformer and AvatarGAN you can also consider the following projects:

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

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

LongNet - Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens"

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

swarms - Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Real World Workflow Automation. Join our Community: https://discord.gg/DbjBMJTSWD

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

principia - The Principia Rewrite

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

planckforth - Bootstrapping a Forth interpreter from hand-written tiny ELF binary. Just for fun.

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, ... 🧠

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

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