Search Results for "om@r"
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Showing 34 open source projects for "om@r"
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Peroxide
Rust numeric library with high performance and friendly syntax
Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. For users familiar with numerical computing libraries like NumPy, MATLAB, or R, Rust's syntax might seem unfamiliar at first. ... -
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gramm
Gramm is a complete data visualization toolbox for Matlab
...Its design philosophy focuses on a declarative approach, where users specify the desired end result, as opposed to the traditional imperative method involving for loops, if/else statements, etc. The MATLAB implementation of gramm is inspired by the "grammar of graphics" principles (Wilkinson 1999) and the ggplot2 library for R by Hadley Wickham. As a reference to this inspiration, gramm stands for GRAMmar of graphics for MATLAB. A similar library called Seaborn also exists for Python. Gramm has been used in many publications from varied fields and is particularily suited for neuroscience, from human movement psychophysics (Morel et al. 2017), to electrophysiology (Morel et al. 2016; Ferrea et al. 2017), human functional imaging (Wan et al. 2017) and animal training (Berger et al. 2017). -
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LabPlot
Data Visualization and Analysis
LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone. -
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CyberUnits
Class library for computational cybernetics
CyberUnits is a cross-platform class library for rapid development of high-performance computer simulations in life sciences. It supports modelling for biomedical cybernetics and systems biology with Object Pascal. -
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Euler Pole Calculator (EPC)
A Matlab software to estimate Euler pole parameters
...Since version 2, the software is able to estimate or apply the Plate Translation Rates, as well. Please cite one of the following papers when you use the software: - Goudarzi, M A, Cocard, M, and Santerre, R. 2014."EPC: Matlab Software to Estimate Euler Pole Parameters". GPS Solutions 18 (1): 153–62. DOI: 10.1007/s10291-013-0354-4*. - Goudarzi, M A. 2025."Evaluating Euler Pole Parameters for the North American Terrestrial Reference Frame of 2022". Geodesy and Geodynamics. DOI: 10.1016/j.geog.2025.03.004. * The element G_23 of the Jacobian matrix of linearized observations in formula 18 (page 4) in this paper has an incorrect sign (minus sign should be removed). ... -
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Clifford Multivector Toolbox
A toolbox for computing with Clifford algebras in MATLAB
...The toolbox is designed to work in the same way as MATLAB's own functions by overloading standard MATLAB functions with Clifford multivector versions. The toolbox can compute with any Clifford algebra with signature (p,q,r) but only with one algebra at a time. From version 2 of the toolbox onwards, computation is also supported with conformal geometric algebras (CGA), based on an underlying Clifford algebra to provide the numerical computation. The additional functionality does not impact on the original Clifford algebra functions of the toolbox. ... -
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RAFTS³G
Rapid Alignment Free Tool for Sequences Similarity Search to Groups
...Raittz % Bruno T. L. Nichio % Ricardo A. Vialle % Aryel M. R. de Oliveira % Camilla R. Pierri % Leticia G. C. Santos % Alexandre Q. Lejambre % Nilson A. R. Coimbra % Dieval Guizelini % Jeroniza N. Marchaukoski % Fabio de O. Pedrosa -
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MTCNN Face Detection Alignment
Joint Face Detection and Alignment
MTCNN_face_detection_alignment is an implementation of the “Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks” algorithm. The algorithm uses a cascade of three convolutional networks (P-Net, R-Net, O-Net) to jointly detect faces (bounding boxes) and align facial landmarks in a coarse-to-fine manner, leveraging multi-task learning. Non-maximum suppression and bounding box regression at each stage. The repository includes Caffe / MATLAB code, support scripts, and instructions for dependencies. Non-maximum suppression and bounding box regression at each stage. ... -
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mksqlite
A MATLAB(R) Mex-DLL to SQLite Databases
Did you ever want to store your MATLAB(R) data in a SQL database? Nothing large, simply a few array or strutures in a few tables. Maybe a few indicies and everything manageable with SQL commands? Then msqlite will be the right choice for you! mksqlite connects the power of MATLAB(R) with the efficiency of the SQLite database engine. (See also https://github.com/AndreasMartin72/mksqlite) -
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Lenia
Lenia - Mathematical Life Forms
...It produces a huge variety of interesting life forms. There are various versions available. Python, Matlab, and web (JavaScript) versions are real-time, interactive, and equipped with statistics tools. Jupyter and R versions are non-interactive and just for demonstration purposes. -
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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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Faster R-CNN
Object detection framework based on deep convolutional networks
This repository provides a MATLAB / Caffe re-implementation of the Faster R-CNN object detection framework (originally from Ren et al. 2015). The Faster R-CNN architecture combines a Region Proposal Network (RPN) with a Fast R-CNN style detection network to share convolutional feature maps and thus speed up detection. The repo includes code to train, test, and deploy Faster R-CNN models under the MATLAB / Caffe environment, example configuration files, and model checkpoints. ... -
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octave-intinf
Infinite-precision integer arithmetic for Octave, written in Octave
...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. * Make a package loadable by octave's pkg function. -
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Detect and Track
Code release for "Detect to Track and Track to Detect", ICCV 2017
...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 results demonstrating state-of-the-art accuracy on the ImageNet VID dataset. The repository includes MATLAB-based training and testing scripts, along with pre-trained models and pre-computed region proposals for reproducibility. ... -
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...Karpievitch YV, Taverner T, Adkins JN, Callister SJ, Anderson GA, Smith RD, Dabney AR. Bioinformatics 2009 2) "Metabolomics data normalization with EigenMS" Karpievitch YV, Nikolic SB, Wilson R, Sharman JE, Edwards LM. PLoS One 2014
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R-FCN
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN (“Region-based Fully Convolutional Networks”) is an object detection framework that makes almost all computation fully convolutional and shared across the image, unlike prior region-based approaches (e.g. Faster R-CNN) which run per-region sub-networks. The repository provides an implementation (in Python) supporting end-to-end training and inference of R-FCN models on standard datasets. -
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PSIworx
Data processing for the PSI fluorometer
PSIworxR (R) and PSIworx (MATLAB) are a collection of functions and scripts to analyze data from the PSI SuperHead Fast Fluorometer series (www.psi.cz). These fluorometers are used in limnology and oceanography research communities. The program retrieves parameters from single turnover induction and relaxation. Results are returned as text files and PDF figures. -
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mp3respectr
Weakening effect on the MP3 audio encoder
Weakening effect on the MP3 audio encoder and the assimilation of the spectral characteristics of the source. Produced by applying empirical filter (derived from an analysis of a pair of flac-mp3) to the sound in the space R2. 1) Transfer the sound of the space R to R2 (mp3rsrr2); 2) Finding the empirical filter by OLS pair flac-mp3 (mp3rsols); 3) Apply a filter to the sound (mp3rsvalue); 4) Transfer the sound of the space R2 in space R (mp3rsr2r); -
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Heat transfer in a bar and sphere
Heat transfer in a bar and sphere using finite differences.
Simulation of the heat transfer in a bar and a sphere (1D) using finite differences in Matlab. Authors: -Jheyson A. Mogollon R. - jheyson260@gmail.com -Luca Meinardo - lucameinardo@gmail.com -Angie Xiomara González - angiegduque@gmail.com Current Version: 2.0 Date: 30/05/2017 -
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VeriSiMPL
Verification via biSimulations of Max-Plus-Linear models
This toolbox is used to generate finite abstractions of autonomous Max-Plus-Linear (MPL) systems over R^n. Abstractions are characterized as finite-state Labeled Transition Systems (LTS). The LTS finite abstractions are shown to either simulate or to bisimulate the original MPL system. LTS models are to be verified against given specifications expressed as formulae in Linear Temporal Logic (LTL) and Computation Tree Logic (CTL). The toolbox intends to leverage the NuSMV model checker. ... -
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matlab2tikz
Converts MATLAB®/Octave figures to TikZ/pgfplots figures
matlab2tikz is a MATLAB(R) script to convert native MATLAB(R) figures to TikZ/Pgfplots figures that integrate seamlessly in LaTeX documents. matlab2tikz supports the conversion of most MATLAB figures, including 2D and 3D plots. For plots constructed with third-party packages, your mileage may vary. Sometimes, MATLAB makes it hard to create matching LaTeX plots by keeping invisible objects around or stretching the plots too far beyond the bounding box. -
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GPMfit
Gaussian Process Model Fitting
Gaussian Process model for fitting deterministic simulator output. Establish efficient and reliable likelihood optimization through hybridized DIRECT-BFGS and multi-start BFGS algorithms. Programming Language: Matlab. -
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Waterloo
Java-based scientific graphics
Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab. -
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This site contains four packages of Mass and mass-based density estimation. 1. The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB. 2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system. 3. The third package DEMassBayes includes the source and object files of a Bayesian...
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PAMGuide
An analysis tool in MATLAB and R for acoustic habitat characterisation
PAMGuide is acoustic analysis software for the characterisation of the acoustic environment from sound recordings. PAMGuide can be used to produce calibrated spectrograms and statistical analyses of sound levels, and is provided in both MATLAB and R. A Tutorial on getting started with PAMGuide can be downloaded here: http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12330/suppinfo PAMGuide was published as supplementary material to the following Open Access journal article: Merchant, N.D., Fristrup, K.M., Johnson, M.P., Tyack, P.L., Witt, M.J., Blondel, P., Parks, S.E. (2015). ...
