Search Results for "multiscale"
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Showing 18 open source projects for "multiscale"
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TimeMixer
Decomposable Multiscale Mixing for Time Series Forecasting
TimeMixer is a deep learning framework designed for advanced time series forecasting and analysis using a multiscale neural architecture. The model focuses on decomposing time series data into multiple temporal scales in order to capture both short-term seasonal patterns and long-term trends. Instead of relying on traditional recurrent or transformer-based architectures, TimeMixer is implemented as a fully multilayer perceptron–based model that performs temporal mixing across different resolutions of the data. ... -
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WSClean
WSClean is a fast widefield interferometric imager
...It supports full-sky imaging and proper beam correction for homogeneous dipole arrays such as the MWA. WSClean allows Hogbom and Cotton-Schwab cleaning and has wideband, multiscale, compressed sensing and joined-polarization deconvolution modes. All operations are performed on the CPU. -
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MuPIF
Multi-Physics Integration Framework (MuPIF)
...The design supports various coupling strategies, discretization techniques, and also the distributed applications. The development of MuPIF is at present suppoted by the EU project Multiscale Modelling Platform: Smart design of nano-enabled products in green technologies, http://mmp-project.eu/, project number 604279. -
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StochKit is an extensible stochastic simulation framework developed in C++ that aims to make stochastic simulation accessible to practicing biologists and chemists, while remaining open to extension via new stochastic and multiscale algorithms. StochKit is part of the StochSS project [http://www.stochss.org/], and we are relying on continued funding for sustained development. Please consider registering to show your support. Register here: https://docs.google.com/forms/d/12tAH4f8CJ-3F-lK44Q9uQHFio_mGoK0oY829q5lD7i4/viewform GillesPy is a python interface for developing models and simulating them with StochKit. ...
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Multi-scaleMaskingofPoints
Subjects point geographic data sets to masking at different resolution
See: Clarke, K. C. (2015) Multi-scale Masking of Point Geographic Data. International Journal of Geographical Information Science. vol. 29. (accepted) -
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Moose
Multiscale Neuroscience and Systems Biology Simulator
Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code. -
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A toolkit in C++ and python to process both experimental and simulation data of colloidal particles. Includes among others * a multiscale particle tracking algorithm [1] whose C++ implementation is optimised for 3D confocal data. Python implementation is more versatile (2D and 3D data). * a Leica file reader, * Steindhard bond orientational order calculation * a VTK file writer 1. Leocmach, M. & Tanaka, H. A novel particle tracking method with individual particle size measurement and its application to ordering in glassy hard sphere colloids. ...
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MPI/C++ code to generate initial conditions for cosmological simulations using multiscale gaussian random fields, based on Edmund Bertschinger's GRAFIC-2 package. Provides a replacement for both grafic1 and grafic2.
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VirtualRoot
CPIB project aims to create a multiscale model of a plant root
The Centre for Plant Integrative Biology’s (University of Nottingham) core project aims to create a multiscale model of a plant root, based on the model higher plant Arabidopsis thaliana -
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SemSim API
A Java API for programmatic manipulation of SemSim models
SemSim is a semantics-based, multiscale model-description architecture designed to facilitate the sharing, reuse, and modular construction of a wide range of biological models. The SemSim API is being developed to provide the biological modeling community with a rich toolset for programmatically manipulating SemSim models. -
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MCC-LIDAR
Multiscale Curvature Classification for LIDAR Data
MCC-LIDAR is a C++ application for processing LiDAR data in forested environments. It classifies data points as ground or non-ground using the Multiscale Curvature Classification algorithm. -
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MICROMECHANICS
A collection of lecture notes and accompanying code on micromechanics
The collection MICROMECHANICS (micromechanics.zip) includes: (1) lecture notes (microbook.pdf) on the analysis of heterogeneous materials and homogenization, and (2) source codes (microcode.tar.bz2) that accompany the computational exercises in Part II of the notes. Instructions on using the codes are given in the README file of each exercise. Further instructions can be found in the file microcode.tar.bz2. The MATLAB codes are used for visualization, evaluating analytical bounds... -
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ShiVaSmiles
A slick interface to see various scale analysis algorithms in action.
...The main website is built as a wiki gathering info and examples on the various implemented algorithms. The combination of the application and its wiki intend to constitute a nice little pedagogic toolkit for multiscale analysis. Feel free to contribute code or wiki content ! -
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The Multiscale Coupling Library and Environment (MUSCLE) is a platform independent agent system to couple multiscale simulations. MUSCLE provides the software framework to build simulations according to the complex automata theory.
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FAUNUS is an object oriented class library for molecular simulation, written in C++. It contains routines and utility programs for, Metropolis Monte Carlo sampling (NVT, NPT, NmuT ensembles), Macromolecules, Proton Titration, Widom Analysis etc.
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Feature extraction toolkit based on a wavelet multiscale vision model. Includes 1D signal processing sample application for line identification and classification of astronomical spectra.
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