Search Results for "new open lms"
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Showing 39 open source projects for "new open lms"
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GMAT
General Mission Analysis Tool
The General Mission Analysis Tool (GMAT) is an open-source tool for space mission design and navigation. GMAT is developed by a team of NASA, private industry, and public and private contributors. The GMAT development team is pleased to announce the release of GMAT version R2022a. For a complete list of new features, compatibility changes, and bug fixes, see the R2022a Release Notes in the Users Guide. -
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ESP3
Fisheries acoustics data processing software
# What is ESP3? ESP3 is an open-source software package for visualizing and processing fisheries acoustics data, developed by the deepwater fisheries acoustics team at NIWA (Wellington, New Zealand). # What can ESP3 do? ESP3 is designed for single-beam and split-beam data. Currently supported data formats are SIMRAD (.raw) and a small number of other formats. The software allows calibration and echo-integration and a number of algorithms are coded in, including bad pings identification... -
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Artifact3-D
Artifact3-D: 3D Analysis and Documentation of Archaeological Artifacts
Artifact3-D offers a suite of functions for analysing 3D scans of archaeological artifacts. These functions are repeatable, objective, precise, and customizable. Functions are also available for the neat documentation of artifacts. Individual artifacts can be imported, analyzed and their documentation exported, or entire assemblages can be automatically analyzed. Please cite: Grosman L, et al. (2022) Artifact3-D: New software for accurate, objective and efficient 3D analysis and documentation... -
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iElectrodes
intracranial electrodes localization toolbox
iElectrodes is a free and open-source Matlab® toolbox to obtain intracranial electrode coordinates from MRI and CT images. 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... -
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Enhanced SAR Compression
VOP Algorithm with improved speed and compression
This work is described in: Orzada S, Fielder TM, Quick HH, Ladd ME, "A local SAR compression algorithm with improved compression, speed and flexibility", https://doi.org/10.1002/mrm.28739. 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... -
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The main goal of this project is to develop new algorithms of machine learning and collect examples of existing methods. This collection pursues scientific and educational purposes.
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PRMLT
Matlab code of machine learning algorithms in book PRML
This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox... -
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PsPM
A matlab suite for Psycho-Physiological Modelling
PsPM is a powerful tool for psychophysiological modelling. It includes linear convolution models and non-linear models for SCR, and allows for modelling of other signals, too. A flexible import interface and many utilities make this software a standalone tool. IMPORTANT: As of 04.11.2019, the official code repository for PsPM has been moved to https://github.com/bachlab/PsPM . In order to check the latest releases, discussion and bug reports, please refer to our new repository. Although... -
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ADiGator
A MATLAB Automatic Differentiation Tool
ADiGator is a source transformation via operator overloading tool for the automatic differentiation of mathematical functions written in MATLAB. Given a user written file, together with information on the inputs of said file, ADiGator uses forward mode automatic differentiation to generate a new file which contains the calculations required to compute the numeric derivatives of the original user function. Furthermore, these calculations are written entirely in the native MATLAB language... -
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Dynamic Linkage
Dynamic Linkage Social Aggregation Model
This project will create a user-friendly modeling system for studying animal social aggregations. The model codifies the a new hypothesis that the animal's state, kinematics, and the group's emergent properties are dynamically linked together, with each one affecting the others. The model will be constructed using Object-Oriented MatLab. -
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This project aims to develop and share fast frequent subgraph mining and graph learning algorithms. Currently we release the frequent subgraph mining package FFSM and later we will include new functions for graph regression and classification package
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All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit https://sourceforge.net/projects/scixminer/ to download the newest version. The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
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MRiLab
A Numerical MRI Simulation Platform
... technique. The main MRiLab simulation platform combined with those toolboxes can be applied to customize various virtual MR experiments which can serve as a prior stage for prototyping and testing new MR technique and application. If you find MRiLab useful for your work, please cite this paper: Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model. IEEE Transactions on Medical Imaging. 2016. doi: 10.1109/TMI.2016.2620961 -
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CMake BASIS
Build system And Software Implementation Standard
The CMake Build system And Software Implementation Standard makes it easy to create sharable software and libraries that work together. This is accomplished by combining and documenting some of the best practices and utilities available. More importantly, BASIS supplies a fully integrated suite of functionality to make the whole process seamless! Check out the web site for more information. The Git repository of this project is hosted on GitHub. Some interesting facts about this project can... -
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RAFTS3
Rapid Alignment Free Tool for Sequences Similarity Search
RAFTS3 can perform high-speed protein search comparisons locally using a desktop computer or laptop. RAFTS3 performed searches many times faster than those with BLASTp against large protein databases such as NR and Pfam, with a small loss of sensitivity depending on the similarity degree of the sequences. RAFTS3 is a new alternative for fast comparison of protein sequences, genome annotation and biological data mining. Preprint: http://dx.doi.org/10.1101/055269 Precomputed databases evaluated... -
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ARIA
Retinal vessel detection using MATLAB
NOTE: This project is now hosted at GitHub. Please follow the link below to visit its new home. -
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NBT is an open source Matlab toolbox for the computation and integration of neurophysiological biomarkers. NBT allows for easy implementation of new biomarkers, and incorporates an online wiki with extensive help and tutorials.
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IBEX_MDA
An open infrastructure software to facilitate radiomics research.
This web page is not guaranteed to have the latest versions. The latest stand-alone version can be downloaded at http://bit.ly/IBEX_MDAnderson The latest source-code version can be downloaded at http://bit.ly/IBEXSrc_MDAnderson IBEX (imaging biomarker explorer) is an open infrastructure software platform that flexibly supports common radiomics workflow tasks such as multimodality image data import and review, development of feature extraction algorithms, model validation, and consistent... -
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AEO-Light 1.1
Version 1.1 is no longer supported.
Version 1.1 is no longer supported. Please see the new version at https://usc-imi.github.io/aeo-light/ Description for 1.1 continues below: AEO-Light 1.1 is an open-source software application that takes a digital scan of motion picture film with optical sound tracks and directly reproduces the audio, producing as a result a synchronized sound film file. Funded by a grant from the National Endowment for the Humanities and by the University of South Carolina. -
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mAPV
modified Asymmetric Pseudo-Voigt Model
A new peak detection algorithm for MALDI mass spectrometry data based on a modified Asymmetric Pseudo-Voigt model -
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cusAPV
customized Asymmetric Pseudo-Voigt Model
A new peak detection algorithm for MALDI mass spectrometry data based on a customized Asymmetric Pseudo-Voigt model -
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SCRalyze
A matlab environment for model-based psychophysiology
SCRalyze is a powerful tool for model-based analysis of psychophysiological signals, using linear convolution models and dynamic causal modelling. A flexible import interface and many utilities make this software a standalone tool. IMPORTANT: As of 04.11.2019, the official code repository for PsPM (formerly SCRalyze) has been moved to https://github.com/bachlab/PsPM . In order to check the latest releases, discussion and bug reports, please refer to our new repository. Although this website... -
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EXIMS
EXploring Imaging Mass Spectrometry data
EXIMS: an improved data analysis pipeline based on a new peak picking method for EXploring Imaging Mass Spectrometry data. -
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DCTV
DUAL CONSTRAINED TV-BASED REGULARIZATION ON GRAPHS
Algorithms based on Total Variation (TV) minimization are prevalent in image processing. They play a key role in a variety of applications such as image denoising, compressive sensing and inverse problems in general. In this work, we extend the TV dual framework that includes Chambolle's and Gilboa-Osher's projection algorithms for TV minimization. We use a flexible graph data representation that allows us to generalize the constraint on the projection variable. We show how this new formulation... -
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Volterra-Wiener series Identification Toolbox. This tool lets the identification of nonlinear discrete causal systems that can be approximated with the Volterra-Wiener series. Please see NEW ADVANCE in Volterra series identification: https://sourceforge.net/projects/volterra20/?source=directory