Deep-Learning VS anime_biggan_toy

Compare Deep-Learning vs anime_biggan_toy and see what are their differences.

Deep-Learning

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

anime_biggan_toy

Generate Amazing Anime Pictures With BigGAN. Just Have Fun !!! (by HighCWu)
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Deep-Learning anime_biggan_toy
1 1
147 142
- -
0.0 0.0
4 months ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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.

Deep-Learning

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

anime_biggan_toy

Posts with mentions or reviews of anime_biggan_toy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-18.

What are some alternatives?

When comparing Deep-Learning and anime_biggan_toy you can also consider the following projects:

pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

deep-music-visualizer - The Deep Visualizer uses BigGAN (Brock et al., 2018) to visualize music.

AvatarGAN - Generate Cartoon Images using Generative Adversarial Network

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

PTI - Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744

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, ... 🧠

stylegan-encoder - StyleGAN Encoder - converts real images to latent space

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Artifact_Removal_GAN - A U-net GAN for jpeg artifact removal

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

peacasso - UI interface for experimenting with multimodal (text, image) models (stable diffusion).

ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace