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Colab poster for No Wave band benefit concert for X Motion Picture Magazine including The Contortions, Boris Policeband, Theoretical Girls, DNA, Terminal and Erasers. From November 1978, different artist members organized and installed original one-off group shows in their own studios or other temporary sites, such as The Batman Show, (591 Broadway 1979), Income and Wealth Show (5 Bleecker ...
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]
To improve the quality of articles that are short or lacking in detail, Wikipedia's community takes part in collaboration to expand and improve articles. A collaboration on an article may be chosen by a group of users interested in the topic (WikiProjects) for a period of time (a week, fortnight, or month) or random editors coming together under Wikipedia's principle of collaborative editing.
Wiki engines: see List of wiki software; Realtime editors: see Collaborative real-time editor; Revision control for software engineering projects: see Comparison of revision control software; Collaborative development environment; Tools for collaborative writing such as O'Reilly Media's wiki-like git-managed authoring platform Atlas [31] [32]
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.
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
A collaboratory, as defined by William Wulf in 1989, is a “center without walls, in which the nation’s researchers can perform their research without regard to physical location, interacting with colleagues, accessing instrumentation, sharing data and computational resources, [and] accessing information in digital libraries” (Wulf, 1989).