Collection of Colab notebooks for ML visual and audio art
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This repository provides a curated list of Google Colaboratory notebooks for machine learning-driven visual art generation. It serves artists, researchers, and hobbyists exploring creative applications of AI, offering a centralized resource for discovering and utilizing cutting-edge ML art techniques.
How It Works
The project is a collection of links to Colab notebooks, each dedicated to a specific ML art technique or model. It categorizes these notebooks by functionality, such as image generation, style transfer, video manipulation, and text-to-image synthesis, facilitating easy discovery of relevant tools.
Quick Start & Requirements
Highlighted Details
Maintenance & Community
The repository is maintained by dvschultz, with contributions and inspirations noted from various individuals and projects (e.g., Manuel Romero, Lia Coleman, Tensorflow, Ultralytics, Magenta). Links to community notebooks are also provided.
Licensing & Compatibility
The licensing for individual Colab notebooks can vary, as they often wrap existing open-source projects. Users should verify the license of each notebook and its underlying dependencies. Compatibility is generally high within the Google Colab environment.
Limitations & Caveats
As a curated list, the repository itself does not host the code but links to external Colab notebooks. The availability and functionality of these linked notebooks depend on their original creators and may change over time. Some advanced techniques might require Colab Pro for sufficient computational resources.
3 years ago
Inactive