Did-Somebody-Say-Corgi
stylegan2-projecting-images
Did-Somebody-Say-Corgi | stylegan2-projecting-images | |
---|---|---|
3 | 136 | |
87 | 288 | |
- | - | |
0.0 | 10.0 | |
over 2 years ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
- | 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.
Did-Somebody-Say-Corgi
-
AI-based corgi synthesis (x-post r/machinelearning)
Have a look at the GitHub page for more information. You can use this Colab Notebook if you'd like synthesize your own corgi images or videos! You probably need some basic Python knowledge though.
-
[P] StyleGAN2-ADA trained on cute corgi images <3
Have a look at my [GitHub page](https://github.com/seawee1/Did-Somebody-Say-Corgi) for more information. You'll also find all the links there, i.e. one to the dataset (eventhough I'm not sure if anybody would actually need such a dataset :D) and the model checkpoints.
-
StyleGAN2 model trained on images of corgis
It took quite some time to aquire and preprocess the high-resolution corgi dataset, and even more time to train the model using Colab Pro (~18 days). Have a look at my [https://github.com/seawee1/Did-Somebody-Say-Corgi](GitHub page) for more information. You can also play around with it using this Colab notebook.
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?
models - A collection of pre-trained, state-of-the-art models in the ONNX format
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
DualStyleGAN - [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
stable-diffusion-webui-colab - stable diffusion webui colab
SatelliteCloudGenerator - A PyTorch-based tool to generate clouds for satellite images.
gimp-stable-diffusion
discoart - 🪩 Create Disco Diffusion artworks in one line
quickstart-android - Firebase Quickstart Samples for Android
comfyui-colab - comfyui colabs templates new nodes
textual_inversion
civitai - A repository of models, textual inversions, and more
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.