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Data on competency (360 degree feedback), employability and career success
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  • Tabular Data
ATLAS OpenData VM Server-2020 version 4. Jupyter.(bash, python2, python3, ROOT C++ kernels) ROOT6.18 (configuration all) Ubuntu-18 + TensorFlow + 3 Git repos Truly automatic start of Jupyter server. GIT-REPOS (folder) https://github.com/atlas-outreach-data-tools/notebooks-collection-opendata https://github.com/atlas-outreach-data-tools/notebooks-frameworks-opendata https://github.com/atlas-outreach-data-tools/atlas-outreach-cpp-framework-13tev
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  • Software/Code
Tools for interacting with the publicly available California Delta Fish Salvage Database, including continuous deployment of data access, analysis, and presentation.
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  • Software/Code
No description provided.
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No description provided.
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Deployed: Wednesday, February 12, 2020 Contributors: @rebeccabilbro @bbengfort @Kautumn06 @lwgray @pdamodaran @wagner2010 @mchestnut91, @mgarod, @shivendra90, @naresh-bachwani, @percygautam, @navarretedaniel, @mmorrison1670, @ekwiecinska, @sjainit Major Changes: Quick methods (aka Oneliners), which return a fully fitted finalized visualizer object in only a single line, are now implemented for all Yellowbrick Visualizers. Test coverage has been added for all quick methods. The documentation has been updated to document and demonstrate the usage of the quick methods. Added Part of Speech tagging for raw text using spaCy and NLTK to POSTagVisualizer. Minor Changes: Adds Board of Directors minutes for Spring meeting. Miscellaneous documentation corrections and fixes. Miscellaneous CI and testing corrections and fixes.
Data Types:
  • Software/Code
Hybrid CPU and GPU real-time dynamic digital image correlation engine and application
Data Types:
  • Software/Code
Aim: Calculate density and temperature from observed molecular lines, e.g.: CO (1-0), CO (2-1), HCN (1-0), HCO+ (1-0), HNC (1-0) Method: Minimize observed line ratios against radiative transfer models. The models assume that the molecular emission lines emerge from a multi-density medium rather than from a single density alone. Results/Output: mass-weighted mean density, temperature and width of the density distribution. Howto: Using an ascii table of observed molecular intensities [K km/s] as input, the results (mass-weighted mean density, temperature and width of the density distribution) are saved in an output ascii file. Furthermore, diagnostic plots are created to assess the quality of the fit/derived parameters. See example.py for how to use "Dense Gas Toolbox". It's easy! The initial release contains models for the following lines: 12CO (1-0), 12CO (2-1), 12CO (3-2), 13CO (1-0), HCN (1-0), HNC (1-0) and HCO+ (1-0) Needs Python 2.7 (will be upgraded to 3.X in a later release).
Data Types:
  • Software/Code
Yellowbrick is an open source, pure Python project that extends the scikit-learn API with visual analysis and diagnostic tools. The Yellowbrick API also wraps matplotlib to create publication-ready figures and interactive data explorations while still allowing developers fine-grain control of figures. For users, Yellowbrick can help evaluate the performance, stability, and predictive value of machine learning models and assist in diagnosing problems throughout the machine learning workflow. Major Changes: Quick methods (aka Oneliners), which return a fully fitted finalized visualizer object in only a single line, are now implemented for all Yellowbrick Visualizers. Test coverage has been added for all quick methods. The documentation has been updated to document and demonstrate the usage of the quick methods. Added Part of Speech tagging for raw text using spaCy and NLTK to POSTagVisualizer. Minor Changes: Adds Board of Directors minutes for Spring meeting. Miscellaneous documentation corrections and fixes. Miscellaneous CI and testing corrections and fixes.
Data Types:
  • Software/Code
check news section please
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  • Software/Code