gan-vae-pretrained-pytorch VS AvatarGAN

Compare gan-vae-pretrained-pytorch vs AvatarGAN and see what are their differences.

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gan-vae-pretrained-pytorch AvatarGAN
1 1
162 61
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0.0 3.8
over 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.
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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.

gan-vae-pretrained-pytorch

Posts with mentions or reviews of gan-vae-pretrained-pytorch. 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 gan-vae-pretrained-pytorch and AvatarGAN you can also consider the following projects:

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

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

AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper

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

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

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

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

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

JoJoGAN - Official PyTorch repo for JoJoGAN: One Shot Face Stylization

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, ... 🧠

pytorch-image-classification - Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

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