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Showing 6 open source projects for "mp.3"
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
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The program grib2v5d converts the content of a grib file (a format used for exchanging meteorological model fields) into a file that can be viewed with Vis5d, a popular program for 3-D visualisation of meteorological fields.
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A library of 3-D tools for vector algebra. Already in wide use for 3 decades in crystallographic applications.
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The fst2v5d package converts data stored in the Canadian RPN Standard File (FST) format into Vis5D format. FST files, commonly used to store meteorological data, are scanned by fst2v5d to generate both 4D fields and independent topography input files.
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SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
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MagCAD is a set of tools for reconstructing 3D meshes from medical images such as MRI scans and ultra-sound. Resulting meshes are designed for CFD and visualisation
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
..., and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.
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