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Showing 20 open source projects for "vector"
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Combine Jira and SCM data to improve team performanceJellyfish is the leading Engineering Management Platform, providing complete visibility into engineering organizations, the work they do, and how they operate. By analyzing engineering signals from Git and Jira, qualitative team feedback, and contextual business data from roadmapping, incident response, HR, calendar, and collaboration tools, Jellyfish enables engineering leaders to align engineering decisions with business initiatives and deliver the right software, efficiently, on time. With Jellyfish, engineering leaders can focus their teams on what matters most to the business, driving strategic decisions and delivering results.
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The database client with the highest user satisfactionDbVisualizer is the highest performer among the universal database tools in the G2 grid for universal database management systems. Write queries in an advanced SQL editor that has all the smart features you need. Speed up your coding and avoid errors. Design your favorite workspace that is saved between sessions. Tag objects and script files as favorites for instant loads. Autosave your work and resume where you left off with editors preserved between sessions. Connect with high security. Work with optimized features and functions, improved for over a decade by continuous feedback from thousands of users. Customers range from self employed consultants to major institutions and global corporations with more than 8,000 licensed users.
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export_fig
A MATLAB toolbox for exporting publication quality figures
export_fig is a MATLAB toolbox designed to simplify high-quality figure export from MATLAB, faithfully preserving visual appearance as seen on-screen—including size, colours, fonts, and layout—while offering precise control over output formats such as PNG, PDF, EPS, and more. Exporting a figure from MATLAB the way you want it (hopefully the way it looks on screen), can be a real headache for the unitiated, thanks to all the settings that are required, and also due to some eccentricities... -
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MatCont
Numerical Bifurcation Analysis Toolbox in Matlab
MatCont is a Matlab software project for the numerical continuation and bifurcation study of continuous and discrete parameterized dynamical systems. Leaders of the project are Willy Govaerts (Gent,B) and Yuri A. Kuznetsov (Utrecht,NL) and Hil G.E. Meijer (UT, Enschede, NL). Matcont for ODEs and MatcontM for Maps Publishing a paper using our software? That's great. Please do us a favour and cite: New features of the software MatCont for bifurcation analysis of dynamical systems. A.... -
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librsb
A shared memory parallel sparse matrix library including Sparse BLAS.
...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 especially well suited for symmetric and transposed multiplication variants. On these variants, librsb has been found to be faster than Intel MKL's implementation for CSR. ... -
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Stoner-Wohlfarth hysteresis
Hysteresis of ellipsoidal single domain ferromagnetic particle.
...Zsolt Szabó, Amália Iványi, Computer-aided simulation of Stoner–Wohlfarth model, Journal of Magnetism and Magnetic Materials, Volumes 215–216, 2, June 2000, Pages 33-36. 2. Zsolt Szabó, Amália Iványi, Preisach Type Bulk Vector Hysteresis Model from Generalized Elementary Vector Hysteresis Operators In: Preisach Memorial Book: Hysteresis models in mathematics, physics and engineering. 211 p. Budapest: Akadémiai Kiadó, 2005. pp. 77-88. Developed by: Dr. Zsolt Szabó These softwares are "as-are" and carries no warranty. They can be used under GNU licence without restriction for research and education purposes. ... -
Drive Workflow Automation and Enterprise Growth with OmegaCube ERPA comprehensive enterprise solution designed to ‘fit like a glove’ to your small & medium, manufacturing or distribution enterprise.
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Phenalysis
Analyze agronomic plant research plots in aerial orthomosaic images.
A graphical user interface to import, analyze and export plots from orthomosaic images of agronomic trials. Please cite the following reference in your work if you use Phenalysis: Khan Z and Miklavcic SJ (2019) An Automatic Field Plot Extraction Method From Aerial Orthomosaic Images. Front. Plant Sci. 10:683. doi: https://doi.org/10.3389/fpls.2019.00683 This tool is being developed through the sponsorship of the Australian Research Council's Industrial Transformation Research Hub on... -
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lottie vectors
Create, display and process 2D vectors in a 3D window.
Lottie Vectors is an application for Matlab that alows you to do some pretty neat things -with vectors. More exactly -displaying them in ways that hopefully will allow you to explore and better understand your vector data. The basic idea is simple, take a vector defined in one of a few different types of data formats and map it on the screen. Add another vector and you start to form a 'route'. Each route or position vector can be accompanied with a 'force' vector. This can be used to show something acting on a position with direction and magnitude. ... -
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Matlab/Octave Rotations Library
Library for working with 3D rotations in Matlab/Octave
...The rotation representations that are supported are rotation matrices (Rotmat), Quaternions (Quat), intrinsic ZYX Euler angles (Euler), fused angles (Fused) and tilt angles (Tilt). Operations such as composition, inversion, ZYX yaw extraction, fused yaw extraction, random generation, equality detection, vector rotation and much more have been implemented for each rotation representation. Tilt vector addition and the relative and absolute tilt phase spaces are also supported. Unit tests for each function are provided to ensure that the library is performant. -
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Chebfun
Chebfun: numerical computing with functions
Chebfun is a MATLAB-based system for numerical computing with functions instead of just numbers. It represents functions using Chebyshev polynomial approximations and allows users to perform operations like differentiation, integration, root finding, and solving ODEs using symbolic-like syntax. Chebfun simplifies working with continuous mathematics using high-accuracy numerical techniques. -
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EEG Seizure Prediction
Seizure prediction from EEG data using machine learning
The Kaggle-EEG project is a machine learning solution developed for seizure prediction from EEG data, achieving 3rd place in the Kaggle/University of Melbourne Seizure Prediction competition. The repository processes EEG data to predict seizures by training machine learning models, specifically using SVM (Support Vector Machine) and RUS Boosted Tree ensemble models. The framework processes EEG data into features, trains models, and outputs predictions, handling temporal data to ensure accuracy. -
Rule contracts and sales documents with AI DocsUsers configure documents in the “Configuration UI”. Both traditional rules and artificial intelligence guide users through the configuration process in a structured way. Once complete, users select ‘Build & Save’. Then, AI Docs’ document logic translates users’ entries into the perfect “Configured Doc”.
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detectMITE
Detection of Miniature Inverted Repeat Transposable Elements
...Rep. 6, 19688. http://www.nature.com/articles/srep19688 Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect and Imperfect Inverted Repeats Using Complex Numbers and Vector Calculation. PLoS ONE 9(11): e113349. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113349 [3] detectMITE user manual Please visit the Wiki page of this website. [4] detectMITE Q&A For Q&A, please visit the Blog page of this website. [5] Update history To see the update history, go to https://sourceforge.net/p/detectmite/wiki/UpdateHistory/ -
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Netvlad
NetVLAD: CNN architecture for weakly supervised place recognition
NetVLAD is a deep learning-based image descriptor framework developed by Relja Arandjelović for place recognition and image retrieval. It extends standard CNNs with a trainable VLAD (Vector of Locally Aggregated Descriptors) layer to create compact, robust global descriptors from image features. This implementation includes training code and pretrained models using the Pittsburgh and Tokyo datasets. -
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detectIR
Detection of Perfect and Imperfect Inverted Repeats
...Please visit website: http://bioinfolab.miamioh.edu [2] How to cite detectIR? Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect and Imperfect Inverted Repeats Using Complex Numbers and Vector Calculation. PLoS ONE 9(11): e113349. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113349 [3] detectIR user manual Please visit the Wiki page of this website. [4] detectIR Q&A For Q&A, please visit the Blog page of this website. [5] detectIR bug report You can report a bug as a Ticket request, or start a topic session in the Discussion webpage of this website... -
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svmradiusmargin
code for convex formulation of radius-margin based SVM
Matlab code for the novel algorithms presented in the paper Convex formulation for radius-margin based Support Vector Machines -
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lonestar
A feature selection and classification algorithm based on L1 Norm SVM
A feature selection and classification algorithm. It is based on L1 Norm Support Vector Machine with t-test and Recursive Feature Elimination. -
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Stanford Machine Learning Course
machine learning course programming exercise
...It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy for learners to navigate and practice. The exercises serve as practical, hands-on reinforcement of theoretical concepts taught in the course. This collection is valuable for students and practitioners who want to strengthen their skills in machine learning through coding exercises. -
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This package can be used for further development of package needs to deal with 3D geometrical relationship. It provides class for Vector, Point, Coordinate, transformations and also provides functions for dealing with relationships between them.
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CIVx is a free advanced PIV (Particle Imaging Velocimetry) code, developped in Fortran and C++. Input : pair of png images. Output : velocity field in NetCDF format. It is used by the UVMAT Matlab code develloped at LEGI.
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Search and export numerics from any text/ascii file. Data sets (scalar, vector, matrix) are given unique names, based on file content. Results can be generated for Matlab, IDL, Scilab, Octave, XML, HTML A wrapper exists for direct usage from Matlab.
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mex-svm is a set of patches against SVM-Light to compile into "mex" libraries and enable fast Support Vector Machine evaluation from within MATLAB.
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The simpleSVM project contains Machine Learning codes for algorithms based on the SimpleSVM. It provides methods for Support Vector Machines and related methods, such as One-Clas SVM, nu-SVM...
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