Search Results for "singular value decomposition"
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Showing 38 open source projects for "singular value decomposition"
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KrylovKit.jl
Krylov methods for linear problems, eigenvalues, and singular values
A Julia package collecting a number of Krylov-based algorithms for linear problems, singular value and eigenvalue problems and the application of functions of linear maps or operators to vectors. -
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Letterboxd Recommendations
Scraping publicly-accessible Letterboxd data for movie recommendations
...Their ratings are then combined with a sample of ratings from the top 4000 most active users on the site to create a collaborative filtering recommender model using singular value decomposition (SVD). All movies in the full dataset that the user has not rated are run through the model for predicted scores and the items with the top predicted scores are returned. Due to constraints in time and computing power, the maximum sample size that a user is allowed to select is 500,000 samples, though there are over five million ratings in the full dataset from the top 4000 Letterboxd users alone. -
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zkcm
A C++ library for multiprecision complex-number matrix calculations.
zkcm library is a C++ library for multi-precision complex-number matrix calculations. It provides a number of functionalities including the LU decomposition, the singular value decomposition, tensor product calculation, tracing-out operations, etc. -
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DOM Window Manager
A simple window manager for DOM elements
A simple window manager for DOM elements. DOM Window Manager consists of a single class, WindowManager, and a set of utility functions. WindowManager uses the singleton pattern, effectively restricting the instantiation of the class to a singular instance to be used by all components, in any file. At first, you need to import WindowManager and dragElement in each file that you create elements that you want to use with the DOM Window Manager. WindowManager is the class that manages the... -
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AIMET
AIMET is a library that provides advanced quantization and compression
Qualcomm Innovation Center (QuIC) is at the forefront of enabling low-power inference at the edge through its pioneering model-efficiency research. QuIC has a mission to help migrate the ecosystem toward fixed-point inference. With this goal, QuIC presents the AI Model Efficiency Toolkit (AIMET) - a library that provides advanced quantization and compression techniques for trained neural network models. AIMET enables neural networks to run more efficiently on fixed-point AI hardware... -
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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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SpectralWorks
View, manipulate, analyze (LS fit, SVD, FT), and make figs of, spectra
Program for viewing, editing, manipulating, and analyzing absorbance spectra. Simple arithmetic includes making linear combinations of up to 10 spectra. Advanced functions include fitting spectra as LC of standard basis spectra, singular value decomposition, Fourier transform, differentiation, integration, global fitting of 3D titration and kinetic data. Graphics features allow composing Figures and export to postscript files which can be converted to pdf, imported into PhotoShop for rasterization, or used in page design software like Illustrator. -
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BioXTAS RAW
Processing and analysis of Small Angle X-ray Scattering (SAXS) data.
BioXTAS RAW is a program for analysis of Small-Angle X-ray Scattering (SAXS) data. The software enables: creation of 1D scattering profiles from 2D detector images, standard data operations such as averaging and subtraction, analysis of radius of gyration (Rg) and molecular weight, and advanced analysis using GNOM and DAMMIF as well as electron density reconstructions using DENSS. It also allows easy processing of inline SEC-SAXS data and data deconvolution using the evolving factor analysis... -
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Book-Reviews-In-Mathematica
Partial Differential Equations, Complex Analysis, Mathematica, Farlow
Cliff* Notes, Mathematica Evaluatable "Partial Differential Equations for Scientists and Engineers", Farlow "Physics for Scientists and Engineers", Serway "A First Course in Complex Analysis", Beck "PDE", Asmar "PDE, An Introduction", Colton "Elementary Differential Equations", 7th, Rainville "Ordinary Differential Equations", Tenenbaum "Linear Algebra And It's Applications", Lay "Swokowski Calculus", 5th, Swokowski "Chemistry Concepts & Problems, A Self-Teaching Guide",... -
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Iterative Solvers
Iterative algorithms for solving linear systems, eigensystems
IterativeSolvers is a Julia package that provides iterative algorithms for solving linear systems, eigensystems, and singular value problems. -
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Modular Monolith with DDD
Full Modular Monolith application with Domain-Driven Design approach
This is a sample / starter architecture project for building a modular monolith application using Domain-Driven Design (DDD) principles in .NET. It aims to show how to structure a monolithic application into modules (bounded contexts), while preserving separation of concerns, maintainability, and scalability, without splitting into microservices. Showing the application of best practices and object-oriented programming principles. Presentation of some architectural considerations, decisions,... -
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NKTg AI NKTg AI Logo Language Decoding System Measure semantic structure. Extract Core Content. Support better decisions. Overview NKTg AI is a deterministic Language Decoding System that measures the semantic structure of text to identify its Core Content. Unlike traditional AI summarization systems, NKTg AI does not generate new information or rewrite documents. Instead, it analyzes the internal semantic structure of a text and extracts the sentence that carries the highest...
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The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
...It uses diagrams and graphic notes to make vector and matrix concepts more intuitive. The material emphasizes understanding calculations and algorithms through the perspective of matrix factorizations. Covered topics include column-row decomposition, Gaussian elimination, Gram-Schmidt orthogonalization, eigenvalue decomposition, and singular value decomposition. Separate visual resources explore eigenvalues and a broader conceptual “Matrix World.” The repository provides PDF, LaTeX, image, and presentation materials, with English, Japanese, and Chinese versions available. -
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levelup
A wrapper for abstract-leveldown compliant stores, for Node.js
Fast and simple storage. A Node.js wrapper for abstract-leveldown compliant stores, which follow the characteristics of LevelDB. LevelDB is a simple key-value store built by Google. It's used in Google Chrome and many other products. LevelDB supports arbitrary byte arrays as both keys and values, singular get, put and delete operations, batched put and delete, bi-directional iterators and simple compression using the very fast Snappy algorithm. LevelDB stores entries sorted lexicographically by keys. ... -
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PyArmadillo
linear algebra library for Python
PyArmadillo - streamlined linear algebra library for Python, with emphasis on ease of use. Alternative to NumPy / SciPy. * Main page: https://pyarma.sourceforge.io * Documentation: https://pyarma.sourceforge.io/docs.html * Bug reports: https://pyarma.sourceforge.io/faq.html * Git repo: https://gitlab.com/jason-rumengan/pyarma -
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MetaPhat -meta-pheno-association-tracker
Multivariate traits genome-wide association analysis and decomposition
MetaPhat is an open sourced program to detect optimal subset traits on lead SNP associations from multiple biomarker GWAS summary results. Best traits are derived from systematic decomposing multivariate associations into central traits based on optimal BIC and P-value from multivariate CCA models. SNP trace results are plotted and clustered to dissect and improve the specificity of mv phenotype-genotype associations. released with LD function... -
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DIFRATE
DIstortion Free Relaxation Analysis TEchnique (DIFRATE) software
...DOI: https://doi.org/10.1063/1.5013316 Updates in version 2 allow separation of tumbling in solution and internal motion, include more experiment types, and simplify detector design with singular value decomposition: Albert A. Smith, Matthias Ernst, Beat H. Meier, Fabien Ferrage. "Reducing bias in the analysis of solution-state NMR data with dynamics detectors." (2018) Currently available: http://doi.org/10.1002/anie.201901929 Contact: alsi-nmr@users.sourceforge.net Please contact me if you have any questions. ... -
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PhotonLoop
Adaptive Optics Measurement and Correction Software
Adaptive Optics Measurement and Correction Software -
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...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
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This project provides a Fortran90 library and a python module for singular spectrum analyses such as PCA/EOF or MSSA. It is intended for people interested, for example, in analysing climate or financial variability.
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Colt provides a set of Open Source Libraries for High Performance Scientific and Technical Computing in Java http://acs.lbl.gov/~hoschek/colt/ This project starteda as a port of the Colt core library to C#, but contains additional features.
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CVM C++ Class Library encapsulates concepts of vector and square, band, symmetric and hermitian matrices in Euclidean space of real and complex numbers. It utilizes BLAS and LAPACK Fortran libraries. See http://cvmlib.com for binaries and more details.
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A scientific computing and data-handling library for C, providing functions on the same level as those of the typical stats package (OLS, probit, singular value decomposition, &c.). Written to facilitate writing fast and easy C code. The project has moved to https://github.com/b-k/Apophenia .
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Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors. -
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Bugs
SW for HTP analysis of 3D trajectories of microorganisms
Fortran and shell-level programs originally designed for the analysis of quasi-helical trajectories of Toxoplasma gondii through Matrigel media, acquired by 3D microscopy and digitized by Imaris tracking sw, as published in [TBA]. Key sw components include a singular-value-decomposition (SVD) approach to fitting a modified Fourier series to noisy 3D coordinates measured at irregular time intervals (incorporating cross-validation for determining optimum Fourier order); correction for distortions arising from media shift, shrinkage/expansion; analytically-derived instantaneous velocity, curvature and twist/torsion parameters calculated at regularly-sampled spatial intervals along the Fourier-smoothed trajectory; facilities for direct visualization and analysis of the raw and Fourier-fit trajectories, and their derived parameters, via interface with molecular graphics software (eg, PyMol.)