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  1. colab.research.google.comGoogle Colab

    Go to Google AI Studio and log in with your Google account. Create an API key. Use a quickstart for Python, or call the REST API using curl. Explore use cases. Create a marketing campaign....

  2. Google Colaboratory Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.

  3. colab.research.google.com › notebooksGoogle Colab

    chevron_right. Search notebooks. Search notebooks

  4. Notebooks – colab.google. Learning Resources. Curated Notebooks. Here you'll find a series of instructive and educational notebooks organized by topic areas. Gemini API. Create a marketing campaign.

  5. colab.research.google.com › notebooks › introGoogle Colab

    Colab, or "Colaboratory", allows you to write and execute Python in your browser, with. Zero configuration required. Access to GPUs free of charge. Easy sharing. Whether you're a student, a data scientist or an AI researcher, Colab can make your work easier.

  6. drive.google.com › drive › searchGoogle Drive: Sign-in

    Access Google Drive with a Google account (for personal use) or Google Workspace account (for business use).

  7. Official Colab Help Center where you can find tips and tutorials on using Colab and other answers to frequently asked questions.

  8. research.google.com › colaboratory › faqGoogle Colab

    Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free of charge access to computing resources, including GPUs and TPUs. Colab is especially well suited to...

  9. Whether you’re an ML expert or you’re just getting started, you’ll find training and information in our resource center. Learn with Google AI. At Google, we think the impact of AI will be most powerful when everyone can use it. Explore our tools.

  10. colab.google › articles › hugcolab.google

    Colab provides a platform for executing notebooks using the most appropriate computing resources (including running on GPUs and TPUs) as well as enabling more effective collaboration through features such as comments and sharing.