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  2. D3.js - Wikipedia

    en.wikipedia.org/wiki/D3js

    The central principle of D3.js design is to enable the programmer to first use a CSS-style selector to select a given set of Document Object Model (DOM) nodes, then use operators to manipulate them in a similar manner to jQuery. [8]

  3. Vega and Vega-Lite visualisation grammars - Wikipedia

    en.wikipedia.org/wiki/Vega_and_Vega-Lite...

    Vega acts as a low-level language suited to explanatory figures (the same use case as D3.js), while Vega-Lite is a higher-level language suited to rapidly exploring data. [3] Vega is used in the back end of several data visualization systems, for example Voyager.

  4. Mallet (software project) - Wikipedia

    en.wikipedia.org/wiki/Mallet_(software_project)

    MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, cluster analysis, information extraction, topic modeling and other machine learning applications to text.

  5. Mike Bostock - Wikipedia

    en.wikipedia.org/wiki/Mike_Bostock

    Michael Bostock is an American computer scientist and data visualization specialist. He is one of the co-creators of Observable and a key developer of D3.js, [1] a JavaScript library used to produce dynamic, interactive data visualizations for web browsers. [2] He also contributed to the preceding Protovis framework.

  6. KNIME - Wikipedia

    en.wikipedia.org/wiki/KNIME

    Weka – machine-learning algorithms that can be integrated in KNIME; ELKI – data mining framework with many clustering algorithms; Keras - neural network library; Orange - an open-source data visualization, machine learning and data mining toolkit with a similar visual programming front-end; List of free and open-source software packages

  7. Weka (software) - Wikipedia

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

    Neural Designer is a data mining software based on deep learning techniques written in C++. Orange is a similar open-source project for data mining, machine learning and visualization based on scikit-learn. RapidMiner is a commercial machine learning framework implemented in Java which integrates Weka. scikit-learn is a popular machine learning ...

  8. Deeplearning4j - Wikipedia

    en.wikipedia.org/wiki/Deeplearning4j

    Eclipse Deeplearning4j is a programming library written in Java for the Java virtual machine (JVM). [ 2 ] [ 3 ] It is a framework with wide support for deep learning algorithms. [ 4 ] Deeplearning4j includes implementations of the restricted Boltzmann machine , deep belief net , deep autoencoder, stacked denoising autoencoder and recursive ...

  9. D3web - Wikipedia

    en.wikipedia.org/wiki/D3web

    Whereas the original systems were focussed on medical diagnosis the applicability of the approach was generalized by the successor D3 [4]. [5] As the predecessors were implemented in the LISP programming language, d3web [ 6 ] is a full Java re-implementation.