Search Results for "python structural engineering"
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Showing 11 open source projects for "python structural engineering"
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BioSig is a software library for processing of biomedical signals (EEG, ECG, etc.) with Matlab, Octave, C/C++ and Python. About 50 different data formats are supported.
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NeuroJSON
Scalable, searchable and verifiable neuroimaging data exchange platfor
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ebfformat
An Efficient Binary data Format
EBF, which stands for Efficient Binary Format, is a binary file format for reading and writing binary data easily. Reading writing routines are currently available in C,C++,Fortran,Java, Python, IDL, MATLAB. A program called ebftkpy which has a set of utility functions to work with the .ebf files , e.g., viewing the contents and getting a summary, is also provided. The EBF specification is designed to be concise and easy to understand to make it easier for others to write their own code... -
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pyCGNS
A Python package for CGNS
pyCGNS is now on github: https://pycgns.github.io/index.html https://github.com/pyCGNS/pyCGNS -
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acp245
ACP245 Suite: Brazil Telematics protocol implementation
This "suite" includes a portable reference implementation and testing tools for ACP245, the automotive Telematics protocol defined by Brazil government. see: http://www.denatran.gov.br/simrav/simrav.asp -
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pyxser stands for python xml serialization and is a python object to XML serializer that validates every XML deserialization against the pyxser 1.0 XML Schema. pyxser is written entirely in C as a python extension.
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Add-ons to the ECMWF GRIB API. This project is about developing and maintaining add-ons to the GRIB API, like language bindings or documentation. The main GRIB API page is at http://www.ecmwf.int/products/data/software/grib_api.html
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Repository of python interfaces to major scientific libraries, like HDF, netCDF and MPI. The interfaces are based on SWIG or PyRex, and should be portable to most Linux/Unix platforms.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
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This project is an initial reference implementation of the VSI-E protocol. The implementation has been done using the C/C++ language and is in the form of a re-useable library developed on the Linux platform.
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