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This is a list of free and open-source software packages, computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
Playwright is an open-source automation library for browser testing and web scraping [ 3] developed by Microsoft [ 4][ 5] and launched on 31 January 2020, which has since become popular among programmers and web developers . Playwright provides the ability to automate browser tasks in Chromium, Firefox and WebKit [ 6] with a single API.
Any textual language. DMS Software Reengineering Toolkit. Several code generation DSLs (attribute grammars, tree patterns, source-to-source rewrites) Active. DSLs represented as abstract syntax trees. DSL instance. Well-formed output language code fragments. Any programming language (proven for C, C++, Java, C#, PHP, COBOL) gSOAP.
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Artificial general intelligence – Human-level or stronger AI for a wide range of tasks. Artificial imagination – Artificial simulation of human imagination. Artificial intelligence art – Machine application of knowledge of human aesthetic expressions. Artificial life – Field of study.
Automatic programming. In computer science, automatic programming[ 1] is a type of computer programming in which some mechanism generates a computer program to allow human programmers to write the code at a higher abstraction level. There has been little agreement on the precise definition of automatic programming, mostly because its meaning ...
GDevelop is a 2D and 3D cross-platform, free and open-source game engine, which mainly focuses on creating PC and mobile games, as well as HTML5 games playable in the browser. [ 4][ 5][ 6] Created by Florian Rival, a software engineer at Google, [ 7] GDevelop is mainly aimed at non-programmers and game developers of all skillsets, employing ...
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
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