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Total Network Visibility for Network Engineers and IT Managers
Network monitoring and troubleshooting is hard. TotalView makes it easy.
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
...Tools are applicable to all SPM images, but the main focus is on images with atomic or molecular resolution.
SPIW is primarily a MATLAB toolbox with functions designed to be called in a user's own script. SPIW also has a very basic GUI for browsing and exporting images.
For information on SPIW's performance see our publication ( http://dx.doi.org/10.1063/1.4827076 ) in the Review of Scientific Instruments.
A related open-source project SPIEPy (https://pypi.python.org/pypi/SPIEPy/) is developing a python library to for automated SPM imaged enhancement. ...
math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
An image processing and analysis library for Matlab
MatImage is a Matlab library for image processing and analysis in 2D and 3D. It contains more than 250 fonctions for image enhancement, filtering, analysis, or visualisation, as well as for creating basic test shapes. It is built as a complement of the Mathworks image processing toolbox (IPT).
Project is being transfered to GitHub:
http://github.com/dlegland/matImage
Tools for mass spectrometry, especially for protein mass spectrometry and proteomics: Quantification tools, converters for Applied Biosystems (Q Star and Q Trap), calculation of in-silico fragmentation spectra, converter for Mascot result files
Axe Credit Portal - ACP- is axefinance’s future-proof AI-driven solution to digitalize the loan process from KYC to servicing, available as a locally hosted or cloud-based software.
Banks, lending institutions
Founded in 2004, axefinance is a global market-leading software provider focused on credit risk automation for lenders looking to provide an efficient, competitive, and seamless omnichannel financing journey for all client segments (FI, Retail, Commercial, and Corporate.)
Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/