FixNoise
stylegan2-projecting-images
FixNoise | stylegan2-projecting-images | |
---|---|---|
2 | 136 | |
179 | 288 | |
- | - | |
3.9 | 10.0 | |
12 months ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 or later | 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.
FixNoise
-
[R] Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN (CVPRW 2022)
Paper: https://arxiv.org/abs/2204.14079
-
[R]Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN
Github: https://github.com/LeeDongYeun/FixNoise
stylegan2-projecting-images
-
Getting Started with Gemma Models
A Colab notebook.
- Welcome to Colaboratory
-
A playground to practice differential privacy - Antigranular
To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab.
-
Topic and Subtopic Extraction with the Google Gemini Pro
Please head over to the Google Colab
-
How do I begin building AI tools for myself?
But regardless of what you want to do, you'll probably use Python. In this context, a good way to work with Python is using Jupyter Notebooks. So you should start with installing Python and Jupyter and go from there. If you want to get started without installing anything, Google Colab gives you a remote Jupyter Notebook which runs in the browser for free.
-
教程:使用 Google Colab 安全地转发 B 站视频
访问 Google Colab 。
-
Journey into Jupyter Notebooks: A Beginner's Guide
Remember school days when you'd share notes with classmates? Jupyter takes that spirit and amplifies it. Once you've crafted your Notebook, you can share it with peers, collaborators, and the world. Platforms like GitHub and Google's Colab natively render Jupyter Notebooks. It's like penning an open letter to the world but in a delightful mix of code, text, and visuals.
- This feels like an obvious question, but if I load a pickle file that is 1GB in size, is it taking up 1GB of memory?
-
Leveraging Google Colab to run Postgres: A Comprehensive Guide
Open your web browser and navigate to Google Colab.
-
No excuses to start working with Python
Using Google Colab you can develop Python codes, similar to Jupyter Notebooks. You will have an environment prepared with various Python libraries. In addition you have tips on small codes for development, some tutorials, gihub connection, cloud -saved notebooks and more.
What are some alternatives?
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
encoder4editing - Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766
stable-diffusion-webui-colab - stable diffusion webui colab
PixelAlchemist - Semantic image editing in realtime with a multi-parameter interface for StyleCLIP global directions
gimp-stable-diffusion
DualStyleGAN - [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
discoart - 🪩 Create Disco Diffusion artworks in one line
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
quickstart-android - Firebase Quickstart Samples for Android
comfyui-colab - comfyui colabs templates new nodes
textual_inversion