This repository is an unofficial, curated gallery of Google Colaboratory notebooks and repositories, aimed at data scientists and researchers. It provides a collection of "click-and-run" notebooks with integrated code and data, simplifying the execution of various machine learning and data science tasks in the cloud.

How It Works

The project functions as a directory, linking to GitHub repositories that have been specifically adapted to run within Google Colab. It leverages Colab's ability to execute Jupyter notebooks directly from GitHub, often by simply modifying the URL. This approach eliminates the need for local Python installations and provides immediate access to GPU and TPU runtimes for supported projects.

Quick Start & Requirements

• To run notebooks, replace github.com with colab.research.google.com/github/ in the repository URL.
• No local Python installation is required.
• Access to Google Colaboratory is necessary.
• Specific notebooks may require additional data or module adaptations.
• See https://google-colab.com/ for submitting individual notebooks.

Highlighted Details

• Features notebooks for advanced business analytics, reinforcement learning, NLP, computer vision (e.g., Detectron2, DeepFaceLab), and more.
• Includes tutorials and resources for deep learning, probabilistic machine learning, and data visualization.
• Showcases applications in finance, medical research, and operations.
• Provides a method to run most GitHub Jupyter notebooks directly in Colab with minor URL modifications.

Maintenance & Community

The repository is noted as unmaintained since March 2021, with the original author seeking a takeover. It receives significant traffic, indicating community interest. Links to social media and a website are provided.

Licensing & Compatibility

The README does not explicitly state a license for the curated list itself. Individual linked repositories retain their original licenses. Compatibility for commercial use depends on the licenses of the linked projects.

Limitations & Caveats

The project is explicitly stated as a work in progress and unmaintained, meaning listed notebooks may be broken, outdated, or lack necessary data/descriptions. Contributions are requested via pull requests or direct contact.