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2. Google Colab - Wikipedia

   en.wikipedia.org/?title=Google_Colab&redirect=no

   Download as PDF; Printable version; In other projects Appearance. move to sidebar hide. From Wikipedia, the free encyclopedia. ... Google Colab. Add languages ...

3. Project Jupyter - Wikipedia

   en.wikipedia.org/wiki/Project_Jupyter

   Examples include Amazon SageMaker Notebooks, [9] Google's Colab, [10] [11] and Microsoft's Azure Notebook. [12] Visual Studio Code supports local development of Jupyter notebooks. As of July 2022, the Jupyter extension for VS Code has been downloaded over 40 million times, making it the second-most popular extension in the VS Code Marketplace. [13]

4. Google Brain - Wikipedia

   en.wikipedia.org/wiki/Google_Brain

   The Google Brain project began in 2011 as a part-time research collaboration between Google fellow Jeff Dean and Google Researcher Greg Corrado. [3] Google Brain started as a Google X project and became so successful that it was graduated back to Google: Astro Teller has said that Google Brain paid for the entire cost of Google X.

5. Google Notebook - Wikipedia

   en.wikipedia.org/wiki/Google_Notebook

   Google Notebook was a free online application offered by Google that allowed users to save and organize clips of information while conducting research online. The browser-based tool permitted a user to write notes, clip text and images, and save links from pages during a browser session.

6. Gemini (language model) - Wikipedia

   en.wikipedia.org/wiki/Gemini_(language_model)

   Additionally, Google Colab is integrating Gemini 2.0 to generate data science notebooks from natural language. Gemini 2.0 was available through the Gemini chat interface for all users as "Gemini 2.0 Flash experimental". On January 30, 2025, Google released Gemini 2.0 Flash as the new default model, with Gemini 1.5 Flash still available for usage.

7. JAX (software) - Wikipedia

   en.wikipedia.org/wiki/JAX_(software)

   JAX is python library that provides a machine learning framework for transforming numerical functions developed by Google with some contributions from Nvidia. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).