Search Results for "matlab to python conversion"
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Showing 5 open source projects for "matlab to python conversion"
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WinMan ERP SoftwareWinMan ERP is an all-encompassing solution designed to manage the operational, quality, commercial, and financial processes of manufacturers and distributors. It is particularly well-suited for companies embracing Lean strategies.
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xrayutilities
a package with useful scripts for X-ray diffraction physicists
xrayutilities is a python package used to analyze x-ray diffraction data. It can support with performing diffraction experiments and used for common steps in the data analysis. It can read experimental data from several data formats (spec, edf, xrdml, ...); convert them to reciprocal space for arbitrary goniometer geometries and different detector systems (point, linear as well as area detectors); for further processing the data can be gridded (transformed to a regular grid). More... -
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C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.
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Unit Var
Automatic Units and Scale calculation in Python
Doing calculations in a programming language is done without the corresponding units. This is a source of programming mistakes. In the units and in the scale. This class try to solve this issue, buy instead of numbers use a class that contains both: The number in int,float and the units / reciprocate units. A conversion table is integrated, and preloaded with standard units. But you are not limited to those units. You can define the units you want. You can select between manual... -
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This is a Content Based Image Retrieval Interface with only color features implemented. This is part of a thesis work to analyze the different color features and observe the performance on mainly corel5k images.
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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BibteXML is a bibliography schema for XML that expresses the content model of BibTeX – the bibliographic system for use with LaTeX. Stylesheets and conversion tools are provided.
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