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Research in machine learning. Headquarters. Toronto, Ontario, Canada. Employees. 714 [ 1] Website. www .vectorinstitute .ai. The Vector Institute is a private, non-profit artificial intelligence research institute in Toronto focusing primarily on machine learning and deep learning research. As of 2023, it consists of 143 faculty members and ...
Super Vectorizer Effectmatrix Ltd. 2013 2016 (version 1.6.6) $29.99 Proprietary: macOS AutoTrace: Martin Weber 1998 2024 (version 0.31.10) Free GPL-2.0-or-later: Cross-platform, POSIX (mainly Unix-like) VTracer: Tsang Hao Fung 2020 2022 (version 0.5.0) Free MIT: Cross-platform (command-line version) Browsers with WebAssembly support (web version)
Boxy SVG is a chromium -based vector graphics editor for creating illustrations, as well as logos, icons, and other elements of graphic design. It is primarily focused on editing drawings in the SVG file format. The program is available as both a web app and a desktop application for Windows, macOS, ChromeOS, and Linux-based operating systems.
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VDOC – Vector format used in AnyCut, CutStorm, DrawCut, DragonCut, FutureDRAW, MasterCut, SignMaster, VinylMaster software by Future Corporation; VSD – Vector format used by Microsoft Visio; VSDX – Vector format used by MS Visio and opened by VSDX Annotator; VND – Vision numeric Drawing file used in TypeEdit, Gravostyle.
The first version of Illustrator for Windows, version 2.0, was released in early 1989 and flopped. The next Windows version, version 4.0, was widely criticized as being too similar to Illustrator 1.1 instead of the Macintosh 3.0 version, and certainly not the equal of Windows' most popular illustration package CorelDRAW. (There were no versions ...
Array programming, a style of computer programming where operations are applied to whole arrays instead of individual elements. Automatic vectorization, a compiler optimization that transforms loops to vector operations. Image tracing, the creation of vector from raster graphics. Word embedding, mapping words to vectors, in natural language ...
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.