TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
M-Lab provides the largest collection of open Internet performance data on the planet. As a consortium of research, industry, and public-interest partners, M-Lab is dedicated to providing an ecosystem for the open, verifiable measurement of global network performance. Real science requires verifiable processes, and M-Lab welcomes scientific collaboration and scrutiny. This is why all of the data collected by M-Lab’s global measurement platform are made openly available, and all of the measurement tools hosted by M-Lab are open source. Anyone with time and skill can review and improve the underlying methodologies and assumptions on which M-Lab’s platform, tools, and data rely. Transparency and review are key to good science, and good science is key to good measurement.
Open source is ready for EDW. Because open source is designed to be modular, an enterprise can start with one piece - say ETL or reporting - and can add on as needed. For comparable power and features an open source solution in this arena can cost 10 to 20 times less than a proprietary product. Whether large or small, companies today are being asked to do more with less. With open source, you can have an EDW without compromise.
R first appeared in 1996, when the statistics professors Robert Gentleman, left, and Ross Ihaka released the code as a free software package.
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By ASHLEE VANCE
Published: January 6, 2009
Open source graph visualization software. Takes descriptions of graphs in a simple text language, makes diagrams formatted as images, SVG for web, PS for PDF, GXL (XML dialect), and more.
TANAGRA is a free DATA MINING software for academic and research purposes. It proposes several data mining methods from exploratory data analysis, statistical learning, machine learning and databases area.
L. Ehrlinger, J. Schrott, and W. Wöß. Database and Expert Systems Applications - DEXA 2023 Workshops, page 3--10. Cham, Springer Nature Switzerland, (2023)
T. Maciag, and D. Hepting. 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 3, page 436--439. (August 2010)