Search Results for "svd"
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Showing 22 open source projects for "svd"
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OBLITERATUS
OBLITERATE THE CHAINS THAT BIND YOU
...The toolkit provides a full pipeline for probing, analyzing, and modifying model behavior, including visualization tools that help researchers understand where and how refusal mechanisms are encoded. It supports multiple analytical methods such as PCA and SVD to locate these behavioral directions within model layers. -
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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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McuOnEclipse
Releases of McuOnEclipse projects
Processor Expert components and Eclipse examples and plugins. -
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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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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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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... -
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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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...Please download EigenMS.zip file (latest version). Latest version uploaded in October 2017 has a bugfix for single treatment group normalization. Rescaling has been omitted from 2015. EigenMS utilizes SVD to detect bias trends in the data and eliminates them. 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". ...
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svd2gas
Automatically generate assembly equate statements for STM32Fxx MCU's
Using CMSIS-SVD files, auto generate GNU Assembler equate statements for STM32F* assembly language. The equate list can easily be limited to any register(s) named in the CMSIS-SVD STM32F* definition file. Normally used with arm-none-eabi-as Please see the distribution README for more information. -
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An approximation free running SVD based GPU parallel implementation for motion detection. Az implementation is based on OpenCV package for the image analysis, and Nvidia CUDA for the parallel computation. It is neccesary to the latter one in your configuration. Otherwise the program will not be able to run.
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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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mathSuite
Powerful Calculus Environment and Matrices Handling Engine
...You'll also be able to execute your own scriptfiles with a basic math-oriented beta script language. Some feature regarding Matrices and Linear Algebra Operations are LU-Factorization, SVD Decomposition, Rank Calculator, Ill Condition Checking and more... There are also a very powerful Linear System Solver and Basic PRELoaded Functions Integrator Engine. -
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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.) -
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math toolkit
A C++ and Python library for finance, statistics and linear algebra.
...Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition, svd, eigen values/vectors ... And some auxiliary features like random number generators, equation solution, numerical integration, permutation/combination and gcd/lcm etc. It is aimed to be a convenient and handy toolkit to check out your ideas. -
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TML - Text Mining Library for LSA & CMM
TML is a Java Library for LSA and extracting Concept Maps from text
TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml -
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f2what
Lapack/quadprog QP for VBA/.Net/Java
...It offers a Fortran77 parser with code transformations, variable disambiguation, and modular output to other programming languages. It also offers already translated versions of Lapack and quadprog to Java, .Net and VBA, to give access to SVD, LU, QR, Cholesky, eigenvalue decomposition, linear system solving and QP optimization in those three languages. -
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code for SVD
Full source code for singular value decomposition
Full source code for singular value decomposition written by using PHP base on JAMA PHP and papers at http://www.miislita.com/ (Dr. E. Garcia) -
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DemoSVD
A source code package about SVD
I wrote a A source code package about SVD using PHP (JAMA in PHP and thank to Dr Dr. E. Garcia) -
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CoNIFER
Homepage for CoNIFER (Copy Number Inference From Exome Reads)
CoNIFER uses exome sequencing data to find copy number variants (CNVs) and genotype the copy-number of duplicated genes. -
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Linflix is an open-source C++ collection of tools and algorithms for processing the Netflix Prize dataset and calculating predictions for missing rating data.
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Incremental singular value decomposition (SVD) routines for the Gnu Scientific Library (GSL). It outperforms the standard batch-SVD methods in running/windowed SVD applications.
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