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  2. List of causal mapping software - Wikipedia

    en.wikipedia.org/wiki/List_of_Causal_Mapping...

    Causal mapping software. An online tool to create knowledge maps. Provides a visual interface which aims to manage connections between ideas and information. An environment for editing, analysing and creating causal diagrams. A tool to help understand qualitative information. Focuses on transforming data into interactive maps.

  3. Dia (software) - Wikipedia

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

    Dia has special objects to help draw entity-relationship models, Unified Modeling Language (UML) diagrams, flowcharts, network diagrams, and simple electrical circuits. It is also possible to add support for new shapes by writing simple XML files, using a subset of Scalable Vector Graphics (SVG) to draw the shape.

  4. List of concept- and mind-mapping software - Wikipedia

    en.wikipedia.org/wiki/List_of_concept-_and_mind...

    Concept and argument mapping tool: Google Drawings: Google Web application: Part of Google Docs suite; Vector image editing; LucidChart: Lucid Software, Inc Web application: HTML5-based collaborative diagramming tool that can be used to map minds and concepts; Android, iPhone, iPad applications, providing offline access to diagrams. Microsoft ...

  5. Comparison of vector graphics editors - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_vector...

    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.

  6. Vector graphics - Wikipedia

    en.wikipedia.org/wiki/Vector_graphics

    Vector graphics are a form of computer graphics in which visual images are created directly from geometric shapes defined on a Cartesian plane, such as points, lines, curves and polygons. The associated mechanisms may include vector display and printing hardware, vector data models and file formats, as well as the software based on these data ...

  7. Causal graph - Wikipedia

    en.wikipedia.org/wiki/Causal_graph

    Causal graph. In statistics, econometrics, epidemiology, genetics and related disciplines, causal graphs (also known as path diagrams, causal Bayesian networks or DAGs) are probabilistic graphical models used to encode assumptions about the data-generating process. Causal graphs can be used for communication and for inference.

  8. Graphviz - Wikipedia

    en.wikipedia.org/wiki/Graphviz

    Tools. a command-line tool to produce layered graph drawings in a variety of output formats, such as ( PostScript, PDF, SVG, annotated text and so on). useful for undirected graphs up to about 1000 nodes. "Spring model" layout minimizes global energy. force-directed graph drawing similar to "spring model", but minimizes forces instead of energy.

  9. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    A diagram of a sinusoidal positional encoding with parameters =, = Positional encoding [ edit ] A positional encoding is a fixed-size vector representation that encapsulates the relative positions of tokens within a target sequence: it provides the transformer model with information about where the words are in the input sequence.

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