Search Results for "c code"
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Showing 56 open source projects for "c code"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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gptoolbox
Matlab toolbox for Geometry Processing
gptoolbox is a comprehensive MATLAB toolbox for geometry processing, optimization, and image processing. It provides a wide range of utility functions for working with triangle and tetrahedral meshes, making it useful for tasks in computer graphics, computational geometry, and 3D modeling. The toolbox includes wrappers for external software such as TetGen, Triangle, QSlim, and meshfix, as well as functions for mesh smoothing, cleanup, deformation, and parameterization. It also implements... -
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Armadillo
fast C++ library for linear algebra & scientific computing
... * Downloads: http://arma.sourceforge.net/download.html * Documentation: http://arma.sourceforge.net/docs.html * Bug reports: http://arma.sourceforge.net/faq.html * Git repo: https://gitlab.com/conradsnicta/armadillo-code -
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ASALI
ASALI is an open-source code for chemical engineers
Do you work with chemical reactors? Are you curious about them? ASALI is the open-source code that you are looking for. Chemical reactor models, transport/thermodynamic properties of gases, equilibrium calculations. ASALI couples all these features with an user friendly graphical interface. Modeling chemical reactors has never been so easy. -
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The auditory modeling toolbox (AMT) is a Matlab/Octave toolbox for the development and application of auditory computational models. Over 50 auditory models implemented in Matlab, Octave, C, C++, and Python can be run from Matlab and Octave, on Windows and Linux. The AMT provides a well-structured in-code documentation, includes auditory data required to run the models. It integrates functionality to reproduce the model predictions. Model implementations can be evaluated in two stages, by running so-called demonstrations which are quick presentations of a model and by starting so-called experiments aimed at reproducing results from the corresponding publications. ...
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SOFA Toolbox
Spatially Oriented Format for Acoustics
This project provided the SOFA Toolbox, a toolbox for the spatially oriented format for acoustics (SOFA). The SOFA Toolbox is the successor of the SOFA API for Matlab/Octave. More information about SOFA can be found here: http://sofaconventions.org On July 2025, we have left SourceForge: The SOFA Toolbox 2.2.0 is the last release published here. All further releases can be found at the SONICOM Ecosystem: https://ecosystem.sonicom.eu/tools/ The code development happens on GitHub:... -
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librsb
A shared memory parallel sparse matrix library including Sparse BLAS.
librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache efficient and multi-threaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available, e.g.: matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction / setting, blocks extraction, norm computation, formats conversion. The RSB format is... -
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Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc
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xfemm
Cross platform electromagnetics finite element analyisis based on FEMM
Cross platform electromagnetics finite element analysis code, with very tight integration with Matlab/Octave. Development of xfemm now takes place on Github here: https://github.com/REOptimize-Systems/xfemm xfemm is a refactoring of the core algorithms of the popular Windows-only FEMM (Finite Element Method Magnetics, www.femm.info) to use only the standard template library and therefore be cross-platform. The codes can be used as a library, standalone executables, or through the... -
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RenewNet Foundry
Building blocks for the renewable energy industry.
RenewNet Foundry is a repository for an integrated set of simulation components for system simulation of wind, wave and tidal energy systems. -
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DCT
Diffraction Contrast Tomography analysis code
Diffraction contrast tomography code base, as developed by researchers from beamline ID19 of the ESRF, Grenoble, France, and Manchester University, UK. -
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cnn-for-image-retrieval is a research-oriented project that demonstrates the use of convolutional neural networks (CNNs) for image retrieval tasks. The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that...
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TMC compiler
Translator from restricted matlab to C
Open-source tool to convert/port/migrate/optimize Octave/MATLAB(R) written projects to C-code. Consists of C-code generator and run-time support library. Support a subset of MATLAB (R) language and an extendable set of in-build functions. Git Repository: https://github.com/csafonov/tinymc -
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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 if needed. ... -
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PRMLT
Matlab code of machine learning algorithms in book PRML
...The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). Many tricks for numerical stability are applied, such as computing probability in logrithm domain, square root matrix update to enforce matrix symmetry. -
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A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
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The DREAM Toolbox
The DREAM toolbox is a free open source acoustic field simulation tool
The DREAM (Discrete REpresentation Array Modelling) toolbox is a free open source toolbox, for both Matlab and Octave , for simulating acoustic fields radiated from common ultrasonic transducer types and arbitrarily complicated ultrasonic transducers arrays. The DREAM toolbox enables analysis of beam-steering, beam-focusing, and apodization for wideband (pulse) excitation both in near and far fields. The code in the svn repository # svn co... -
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octave-intinf
Infinite-precision integer arithmetic for Octave, written in Octave
Octave code to perform arbitrary-precision integer arithmetic. It may or may not work in Matlab. The supported operations are: >> s = a = intinf (126) % Creation of intinf-class object from integer or string >> b = intinf ('-792716404922304611755050042308687') >> c = a + b % Addition >> d = a - b % Subtraction >> e = c * d % Multiplication >> f = (e - a^2) / b % Exponentiation, division >> f == -b % Logical operators >> [q, r] = intinf_divide (b^2, a) % Divsion and remainder >> x = intinf_rand (100) % Random number (here, with 100 digits) TODO: * Better errors... -
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Detect and Track
Code release for "Detect to Track and Track to Detect", ICCV 2017
Detect-Track is the official implementation of the ICCV 2017 paper Detect to Track and Track to Detect by Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman. The framework unifies object detection and tracking into a single pipeline, allowing detection to support tracking and tracking to enhance detection performance. Built upon a modified version of R-FCN, the code provides implementations using backbone networks such as ResNet-50, ResNet-101, ResNeXt-101, and Inception-v4, with... -
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Brain imaging software produced by the Brain Research Imaging Centre of The University of Edinburgh.
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This is a public repository for the Accelerator Toolbox, Matlab based accelerator physics code.
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GTK+ IOStream
GTK+iostream, Data plots, ORB, Neural Networks, WSOLA
Create GTK+ interfaces using IOStream style code. Its simple and quick! Also providing simple data plotting (similar to Matlab/Octave), ORB (Object Request Broker), and Neural Network computations. You can create GTK+ GUIs in a few lines of code. Labels<<"Thanks for reading"; (HBox<<Labels).show(); or even one line : (HBox() << (Labels()<<"Thanks for reading")).show(); Inline code destructs the classes, but leaves the widgets/callbacks operating. This is great for embedded... -
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Ocean Optics Sample Pack
Sample code for Ocean Optics OmniDriver spectrometer device driver
Sample code demonstrating how to use OmniDriver to drive Ocean Optics full range of spectrometers from C, C++, C#, Java, LabVIEW, Delphi, MATLAB and more. -
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This project, developed at UCL London, provides code for tomographic reconstruction. NiftyRec is written in C and has Python and Matlab extensions. Computationally intensive functions have a GPU accelerated version based on CUDA.
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IDL2Matlab is an Automatic translation tool from an IDL program into Matlab and Scilab code. We do not guaranty a 100% conversion efficiency.
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IBEX_MDA
An open infrastructure software to facilitate radiomics research.
...IBEX software package was developed using the MATLAB and C/C++ programming languages. The software architecture deploys the modern model-view-controller, unit testing, and function handle programming concepts to isolate each quantitative imaging analysis task, to validate if their relevant data and algorithms are fit for use, and to plug in new modules.
