Search Results for "data collection algorithm"
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Showing 42 open source projects for "data collection algorithm"
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CUTLASS
CUDA Templates for Linear Algebra Subroutines
CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS and cuDNN. CUTLASS decomposes these "moving parts" into reusable, modular software components abstracted by C++ template classes. -
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BasicBSpline.jl
Basic (mathematical) operations for B-spline functions
Basic (mathematical) operations for B-spline functions and related things with Julia. -
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MCM-ICM
Mathematical Contest resources
MCM-ICM is a curated archive of Outstanding Winner (“O-奖/特等奖”) solution papers from the Mathematical Contest in Modeling and the Interdisciplinary Contest in Modeling, spanning the early 2000s through recent years. The repository is organized by year, with per-year folders that collect the top-ranked reports and, in later years, additional materials such as problem statements or problem notes when available. It has evolved from a single-maintainer project into a collaborative effort, with... -
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stkpp
C++ Statistical ToolKit
...The library offers a dense set of (mostly) template classes in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites. -
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ME.com
Mathematical & engineering components for software development
Less means - more power. Mathematical & engineering components (abbreviation ME . com) for development of the software are the comprehensive collection of original fastest algorithms for scientific computing. Not based on any known software library. Used in AtteStat, StatAnt, Criterial projects and another with rights saved include in educational purposes. Registered 2003-03-21 with the Federal Service for Intellectual Property. Completely free. No donation required. Mathematical &... -
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Advanced Trigonometry Calculator
Precision Trigonometry: Advanced Calculator for Complex Math
Advanced Trigonometry Calculator is equipped with a user-friendly interface that allows for easy input of problems and instant computation. Professionals such as engineers who need to perform advanced trigonometric calculations in their work will find this tool extremely useful. More info by clicking below: https://advantrigoncalc.sourceforge.io/ Advanced Trigonometry Calculator was only and always only developed by the Portuguese Renato Alexandre dos Santos Freitas. Also author of... -
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Blueprint XAS is a Matlab-based suite designed for the processing and analysis of near-edge x-ray absorption spectroscopy (XAS) data. The suite is designed primarily to assist users in exploring reasonable fit solutions while minimizing user bias.
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Pigale is a graph editor and a C++ algorithm library essentially concerned with planar graphs. This software, particularly intended for graph theoretical research, includes new algorithms based on our recent theoretical researches.
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SparthMP
SparthMP is an ANSI-C math library for Multi-Precision calculations
SparthMP is an ANSI-C math library for Multi-Precision calculations, i.e. beyond float/double domain. It supports regulated accuracy of calculations. For algorithm design with this library you should have an understanding of rounding errors in math. -
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Designed to help you with nonlinear, multidimensional, multi-parameter regression, using the Levenberg-Marquardt algorithm. The regression model can be set up using the input syntax of most modern cas. Full featured visualization and data edit mask. Regression Easy needs help. Especially need to catch exceptions and give reasonable error messages. (In the moment, the standard error handler is invoked. Simply click "resume" on any error.) For newest binary builds, look in the "/bin" directory of the Subversion distribution (code section). ...
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A spring-based 3D graph layout tool written in Java. Rendering is performed in OpenGL via the JOGL library.
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MSU's Sparse Fourier Repository
The Home of DMSFT, AAFFT, GFFT, and MSFFT.
...It is much slower than it should be. 3.) GFFT, implemented by Ben Segal and Mark Iwen. This code is less easy to use, and also not terribly efficient. But, the *algorithm* itself is significantly simpler and has "essentially no parameters". 4.) MSFFT, implemented by David Lawlor and Bosu Choi. This code is fast, but is not terribly easy to use. The algorithm is robust to some noise, but requires a lot of parameter tuning. Enjoy at your own risk :), Mark Iwen -
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The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded.
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A collection of code, bundled into a single R package, to perform several aspects of data management, image pre-processing, data analysis and statistical inference related to the quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI).
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MRA
A general recommender system with basic models and MRA
Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide... -
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PyGAO
Genetic Algorithm Optimization for Python
A simple interface for performing genetic algorithm optimization for numerical problems. I am starting with a stripped-down version, where a solution can be described using a single vector of float numbers. Eventually, I will expand to more generic data structures and add multiple-species search options. For the time being, I have no plans of developing a GUI. For now, this is strictly a computational module. -
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FreDec
Parallelized FREquency DEComposer algorithm
This is a parallelized algorithm performing a decomposition of the time-series data into a number of sinusoidal components, disentangling them from the white Gaussian noise. The algorithm analyses all suspicious frequencies, including the ones that look like an alias at a glance, but may become preferable later. After selection of the initial frequency candidates, the algorithm passes through all their possible combinations and estimates their multi-frequency statistical significance. ... -
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libfgen
Library for optimization using a genetic algorithm or particle swarms
libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported. -
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segment
Solve the Viterbi algorithm in a data stream
It is often necessary to assign a series of discrete values to continuosly variable data sequenced by time, position, etc., thereby parsing the data into fewer and larger segments of variable width. The 'segment' utility takes an input data stream as a Hidden Markov Model and applies the Viterbi algorithm to find the most likely segmentation path through the data. -
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Robust Correlation Toolbox
Free Matlab toolbox to compute robust correlations
The Robust Correlation Toolbox is a free collection of Matlab functions allowing to visualize data in univariate and bivariate space, check assumptions of normality and homoscedasticity and compute Pearson's and Spearman's, percentage bend, and skipped correlations with bootstrapped confidence intervals - see http://www.frontiersin.org/Quantitative_Psychology_and_Measurement/10.3389/fpsyg.2012.00606/full -- code moved to https://github.com/CPernet/robustcorrtool -
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smooth
Wavelet smoothing in a data stream
It is often necessary to smooth high frequency fluctuations out of data streams sequenced by time, position, etc. The 'smooth' utility applies such smoothing using the wavelet algorithm. This implementation of wavelet smoothing was optimized for use in a data stream. It was adapted from HMMSeg Wavelet.Java by Thomas E. Wilson, University of Michigan. HMMSeg Wavelet.Java was written by Andrew Hemmaplardh, University of Washington. -
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Tcl binding to levmar library implementing Levenberg-Marquardt optimization algorithm often used in data fitting. Levmartcl is a standard Tcl extension providing command interface to levmar functionality. This library is only a wrapper of <levmar> which actually performs the work. See the <levmar> home site for details: http://www.ics.forth.gr/~lourakis/levmar/
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Galois sub-hierarchy builder
Visualize Galois sub-hierarchy of 2d matrix
GSH builder is a free Galois Sub-Hierarchy visualization tool. The algorithm for calculating GSH is called Pluton and the present Java realization is based on two articles. "Efficiently computing a linear extension of the sub-hierarchy of a Concept Lattice" by Anne Berry, Marianne Huchard, Ross M. McConnell, Alain Sigayret and Jeremy P. Spinrad. "Performances of Galois Sub-hierarchy-building algorithms" by Gabriela Arevalo, Anne Berry, Marianne Huchard, Guillaume Perrot and... -
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This project aims to develop a R package in S4 language to analyse fisheries data collected in Europe by all Fisheries Institutes under EU regulation on data collection (DCR).
