Showing 31 open source projects for "up to"

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  • 1
    Image Fusion

    Image Fusion

    Deep Learning-based Image Fusion: A Survey

    This repository is a survey / code collection centered on deep learning–based image fusion (e.g. fusing infrared + visible light images, multi-modal fusion) methods. It catalogs many fusion algorithms (e.g. DenseFuse, FusionGAN, NestFuse, etc.), links to code implementations, and describes evaluation metrics. The repository includes a “General Evaluation Metric” subfolder containing objective fusion metrics. It is not a single monolithic tool, but rather a curated reference and aggregation...
    Downloads: 1 This Week
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  • 2
    CBIG

    CBIG

    Computational Brain Imaging Group tools

    CBIG is a comprehensive toolkit maintained by Thomas Yeo’s Computational Brain Imaging Group containing tools for processing and analyzing neuroimaging data—including fMRI preprocessing pipelines, brain parcellation algorithms, mental disorder subtyping models, fMRI dynamic models, registrations between brain spaces, and phenotypic prediction algorithms. After cloning/downloading this repository, please see README inside setup directory to see instructions on how to set up your local environment to be compatible with our repository. Brain parcellation tools (e.g., Yeo networks, Schaefer parcellations) for cortical mapping.
    Downloads: 0 This Week
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  • 3
    Peroxide

    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...
    Downloads: 0 This Week
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  • 4
    Armadillo

    Armadillo

    fast C++ library for linear algebra & scientific computing

    * Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:...
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    Downloads: 2,220 This Week
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  • 5

    DDE-BIFTOOL

    Bifurcation analysis for delay-differential equations

    ...<http://ddebiftool.sourceforge.net> links to documentation, a list of contributors and current maintainers. The original DDE-BIFTOOL webpage at KU Leuven [1] stores versions up to 3.0 and their documentation. [1] <http://twr.cs.kuleuven.be/research/software/delay/ddebiftool.shtml> [2] <https://www.gnu.org/software/octave> Further tutorials (by M Bosschaert) at <https://sites.google.com/a/uhasselt.be/maikel-bosschaert/home> (pdf files).
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    Downloads: 16 This Week
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  • 6
    FEATool Multiphysics - FEA & CFD Toolbox

    FEATool Multiphysics - FEA & CFD Toolbox

    FEATool Multiphysics is an easy-to-use FEA and CFD Simulation Toolbox

    FEATool Multiphysics (https://www.featool.com) is a fully integrated toolbox for computer aided engineering CAE, finite element analysis & fluid dynamics simulations. With a very easy-to-use GUI, anyone is now able to quickly set up and perform large scale dynamical and complex engineering physics simulations, with coupled fluid flow, heat transfer, structural mechanics, chemical transport, and electromagnetics effects, without having to learn complex programming. In addition to built-in CAD and pre/post-processing, automatic mesh generation, and multi-physics solvers, FEATool also seamlessly integrates the state-of-the-art OpenFOAM [1], SU2, and FEniCS CFD and FEA solvers. ...
    Downloads: 15 This Week
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  • 7
    iElectrodes

    iElectrodes

    intracranial electrodes localization toolbox

    ...Precise and reliable localization can be achieved fast and in a semiautomatic way with minimal user intervention. The toolbox works with ECoG (subdural grids and strips) and SEEG (depth) electrodes. The new GridFit algorithm can precisely localize high-density electrodes (up to 3mm). Brain parcellations (atlas) and surfaces can be imported to aid 2D and 3D visualization and anatomical localization can be done in native or normalized space. You can plan grid and depth electrode array implantations and compare them with the implanted locations. Additional scripts are provided for image coregistration using SPM, Freesurfer pipeline integration, etc. ...
    Downloads: 3 This Week
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  • 8
    Artifact GeoMorph Toolbox 3D 3.1

    Artifact GeoMorph Toolbox 3D 3.1

    A toolbox for 3DGM shape analysis of archaeological artifacts

    The Artifact Geomorph Toolbox 3D software is designed to provide the archaeologist interested in artifact shape variability with a toolbox to allow the acquisition, analysis and results exploration of homologous 3D landmark-based geometric morphometric data. As such, the toolbox contains an automated item and semi-landmarks positioning procedure and the fundamental statistical analyses and procedures to allow the processing and analysis of the data. It is designed to be easy to use and...
    Downloads: 6 This Week
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  • 9
    Ultrashort Pulse Propagator

    Ultrashort Pulse Propagator

    A powerful simulation for designing femtosecond lasers and amplifiers.

    This is a simulation package developed for numerical simulation of ultrashort pulse propagation in optical media and pulse generation from mode-locked lasers. Although the code is primarily intended for investigations of fiber links, fiber amplifiers and fiber lasers, it can be applied to any other setting for which the governing equiations are valid. The physics included in the code is based on a generalized nonlinear Schrödinger equation, including higher order dispersion, stimulated Raman...
    Downloads: 3 This Week
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  • 10

    Enhanced SAR Compression

    VOP Algorithm with improved speed and compression

    ...This new algorithm is an iterative expansion of the exisisting local SAR compression algorithm for MRI proposed by Lee et al. ( https://doi.org/10.1002/mrm.23140) The number of VOPs is approximately halved with the new algorithm, while at the same time the compression time is reduced with speed-up factors of up to 2.5.
    Downloads: 0 This Week
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  • 11
    mksqlite

    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)
    Downloads: 2 This Week
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  • 12
    NaveGo

    NaveGo

    NaveGo: an open source MATLAB/GNU Octave toolbox for processing integr

    ...Due to a shift in both my professional career and personal interests away from navigation systems, I have made the difficult decision to step down from my role as the lead developer of NaveGo. Effective immediately, NaveGo will transition to a community-driven project. This change opens up new opportunities for collaboration, innovation, and leadership within our vibrant community. I encourage each of you to actively participate, whether by answering questions in the discussion forum, contributing to the development of new features, or sharing your unique insights and expertise.
    Downloads: 3 This Week
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  • 13
    LIPRAS, Line-Profile Analysis Software

    LIPRAS, Line-Profile Analysis Software

    Peak fitting GUI for diffraction data

    LIPRAS v466 LIPRAS [LEEP-ruhs], short for Line-Profile Analysis Software, is a graphical user interface for least-squares fitting of Bragg peaks in powder diffraction data. For any region of the inputted data, user can choose which profile functions to apply to the fit, constrain profile functions, and view the resulting fit in terms of the profile functions chosen. If you use LIPRAS for your research, please cite it: Giovanni Esteves, Klarissa Ramos, Chris M. Fancher, and Jacob L....
    Downloads: 9 This Week
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  • 14
    PRMLT

    PRMLT

    Matlab code of machine learning algorithms in book PRML

    ...It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). 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.
    Downloads: 0 This Week
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  • 15
    TracTrac

    TracTrac

    Massive Object Tracking Software (Matlab/Python)

    TracTrac is a Particle Tracking Velocimetry (PTV) software which is extremely fast (more than 10k points tracked per second, 100k under python) and accurate (up to 0.01 pixel resolution), forming thus a good concurrent to the state-of-the art PIV/PTV algorithms. It allows to track anything that moves: birds, ants, grains, water flows... It runs on Python (v2&3) or Matlab (>2012a with Image Processing toolbox). Give it a try ! Get the last sources on GitHub: https://github.com/jorishey1234/tractrac
    Downloads: 1 This Week
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  • 16

    iTides

    an internal tide generation GUI (in Matlab)

    With the support of the NSF and ONR over the past few years we have developed a MATLAB tool that calculates the internal wave field generated by barotropic tidal flow of a nonlinearly stratified fluid past any arbitrary two-dimensional topography of finite extent You can download a recent version as a .zip file or get up-to-date version via the svn version (svn checkout svn://svn.code.sf.net/p/itides/svn/trunk itides-svn).
    Downloads: 0 This Week
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  • 17
    Faster R-CNN

    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. Multiple configuration files for different datasets and architectures. Evaluation scripts for mAP and detection metrics.
    Downloads: 0 This Week
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  • 18
    ...EigenMS eliminates effects from known and unknown factors and can be utilized for any -omic platform. We have shown its utility in LC-MS/MS and metabolomics in the following two papers: 1) PMID: 19602524. "Normalization of peak intensities in bottom-up MS-based proteomics using singular value decomposition". 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
    Downloads: 2 This Week
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  • 19
    Edges

    Edges

    Structured Edge Detection Toolbox

    Structured Edge Detection (Edges) is a MATLAB toolbox implementing the structured forests method for fast and accurate edge detection (up to ~60 fps in many settings). The toolbox also includes the Edge Boxes object proposal method, fast superpixel generation, and utilities for training, evaluation, and integration with vision pipelines. High performance (frames per second performance depending on settings). Integration with MATLAB and compatibility with external vision pipelines. ...
    Downloads: 0 This Week
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  • 20

    mflab

    modflow laboratory

    Matlab based scripting to set up, run and analyze groundwater model using (different versions of) MODFLOW (+SWI), MODPATH6, MT3DMS and SEAWAT.
    Downloads: 0 This Week
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  • 21

    GeoPDEs

    A package for Isogeometric Analysis in Octave and Matlab

    ...GeoPDEs is free software implemented in Octave and fully compatible with Matlab. GeoPDEs is no longer developed at SF, and has moved to GitHub. Please visit http://rafavzqz.github.io/geopdes/ The mailing list will remain active. Releases up to 2.0.4 can be found here. From version 2.1.0 onward, see https://github.com/rafavzqz/geopdes
    Downloads: 0 This Week
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  • 22

    REST4roots

    Evaluation software for shovelomics images

    ...Standardized image acquisition is strongly recommended and briefly described in the manual which you can get here for free http://plantscience.psu.edu/research/labs/roots/publications/overviews/next-generation-shovelomics-set-up-a-tent-and-rest
    Downloads: 1 This Week
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  • 23
    OARS Android IMU & GPS Data Logger

    OARS Android IMU & GPS Data Logger

    OARS - Orientational Awareness Reaction Systems

    ...Contained within this small IMU is a 3-axis Accelerometer, 3-axis Gyro, and 3-axis Magnetometer. Along with a built in processor, it can calculate movements along 9-axis. Depending on platform and app setting, OARS can record sensor values at a rate up to 100hz, or 100 positions per second. GPS data such as Longitude, Latitude, Direction, Speed, and Elevation, are also logged at approximately 1hz, or 1 update per second. Giving you the ability to precisely map an equipped objects location, orientation, and rate of movement along any plane with extreme accuracy.
    Downloads: 2 This Week
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  • 24
    A GUI application to process timestack images for wave run up measurements on the coastal zone
    Downloads: 0 This Week
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  • 25
    VOC-DPM

    VOC-DPM

    Object detection system using deformable part models (DPMs)

    ...It implements both latent SVM training (where part assignments are treated as latent variables) and weak-label structural SVM (WL-SSVM) for learning from partially labeled data. The code integrates several enhancements: a star-cascade detection algorithm to speed up screening, context rescoring (re-ranking detections using contextual information), and various optimizations like in-memory training (rather than large on-disk data files).
    Downloads: 0 This Week
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