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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Covertype Dataset Data for predicting forest cover type strictly from cartographic variables. Many geographical features given. 581,012 Text Classification 1998 [310] [311] J. Blackard et al. Abscisic Acid Signaling Network Dataset Data for a plant signaling network. Goal is to determine set of rules that governs the network. None. 300 Text

  3. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    This multispectral data set includes terahertz, thermal, visual, near infrared, and three-dimensional videos of objects hidden under people's clothes. 3D lookup tables are provided that allow you to project images onto 3D point clouds. More than 20 videos. The duration of each video is about 85 seconds (about 345 frames). AP2J

  4. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    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.

  5. Data Commons - Wikipedia

    en.wikipedia.org/wiki/Datacommons.org

    Data Commons is an open-source platform [1] created by Google [2] that provides an open knowledge graph, combining economic, scientific and other public datasets into a unified view. [3] Ramanathan V. Guha, a creator of web standards including RDF, [4] RSS, and Schema.org, [5] founded the project, [6] which is now led by Prem Ramaswami. [7]

  6. ParaView - Wikipedia

    en.wikipedia.org/wiki/ParaView

    ParaView is an open-source, multi-platform data analysis and visualization application. ParaView is known and used in many different communities to analyze and visualize scientific data sets. [2] It can be used to build visualizations to analyze data using qualitative and quantitative techniques.

  7. The Observatory of Economic Complexity - Wikipedia

    en.wikipedia.org/wiki/The_Observatory_of...

    The first version of the OEC focused primarily on creating single visualizations of trade data. At that time, it was a pioneering effort in data visualization and distribution. OEC 2.0. OEC 2.0 (2013-2015) The second version of the OEC introduced the idea of profiles.

  8. glue (software) - Wikipedia

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

    glue, as working visualization software, was created and realized in 2012, after being described as a work-in-progress in Principles of High-Dimensional Data Visualization in Astronomy. [ 2 ] Using glue, users can create scatter plots , histograms , tables, and images (2D and 3D) of their data. glue is focused on the brushing and linking ...

  9. ggplot2 - Wikipedia

    en.wikipedia.org/wiki/Ggplot2

    ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...