ml-art-colabs  by dvschultz

Collection of Colab notebooks for ML visual and audio art

created 5 years ago
826 stars

Top 43.9% on sourcepulse

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Project Summary

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

  • Access to Google Colaboratory (free tier available).
  • No installation required; notebooks are run directly in the browser.
  • Some notebooks may require specific Python libraries or pre-trained models, typically handled within the Colab environment.
  • Links to demo videos and tutorials are often provided for each notebook.

Highlighted Details

  • Comprehensive coverage of popular ML art techniques including DeepDream, StyleGAN variants, GANs, and diffusion models.
  • Includes notebooks for image-to-image translation, super-resolution, and text-to-image generation.
  • Features tools for video processing like motion models and slow-motion effects.
  • Covers audio ML applications such as music generation and source separation.

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.

Health Check
Last commit

3 years ago

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Inactive

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2 stars in the last 90 days

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