Search Results for "principle component analysis"
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Showing 41 open source projects for "principle component analysis"
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Orange Data Mining
Orange: Interactive data analysis
Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for... -
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kepler.gl
Kepler.gl is a powerful open source geospatial analysis tool for data
Kepler.gl is a data-agnostic, high-performance web-based application for visual exploration of large-scale geolocation data sets. Built on top of Mapbox GL and deck.gl, kepler.gl can render millions of points representing thousands of trips and perform spatial aggregations on the fly. Kepler.gl is also a React component that uses Redux to manage its state and data flow. It can be embedded into other React-Redux applications and is highly customizable. For information on how to embed... -
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OpenRocket
Model-rocketry aerodynamics and trajectory simulation software
OpenRocket is a free and fully featured simulation software for designing, analyzing, and optimizing model rockets before physical construction and launch. It provides a comprehensive environment where users can assemble rocket components, visualize designs in both 2D and 3D, and simulate flight behavior using accurate aerodynamic and physics models. The software incorporates six-degree-of-freedom flight simulation, allowing it to model real-world dynamics such as stability, drag, thrust,... -
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Fatlab
Free open-source fatigue analysis software
Fatlab is a fatigue post processor which takes results from FE analyses and combine those with load-time series in order to perform a detailed fatigue assessment of a component. It handles both multiaxiality through the critical plane method and non-linear FE models. -
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DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, ETL DB, testing, etc.
Integrated component-based and cellular automata (CA) Parallel DEVS simulator. Version: 8.0 [Aug `26], 7.0 [Jan `23], 6.1 [Apr. `21], 6 [Sep. `20] , 5 [Jul. `19], 4 [Mar. `18], 3 [Apr. `15], 2.1 [Feb. `09], 2 [`03] See PVM: Visual Persistent Hierarchical Component-based Modeler (https://acims.asu.edu/persistent-visual-modeler/ ) and CoSMoSim: hierarchical visual modeling, database model repository, families of models, statecharts, partial-code generation for XML/DEVS-Suite models... -
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DSpice
DSpice: Design and Simulation of Circuits using Spice
What is DSPICE? DSpice (Designing Circuits and Simulation by SPICE) is an open-source tool designed to streamline the modeling of analog components and the simulation of electronic circuits. It leverages ngspice (the open-source successor to the classic SPICE engine) as its core simulation backend. The main objectives and features of DSpice are: . Custom Modeling: Creating new SPICE models for various electrical components. . Symbol Design: Designing and managing custom schematic... -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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Raman Tool Set
Analysis of Raman spectra and spectroscopy data.
Raman Tool Set has been developed as a user-friendly free software for processing and analysis of Raman spectra and spectroscopy data. RamanToolSet offers the following functions for processing: - scaling spectra - offset spectra - cut spectra - averaging spectra - smoothing spectra - normalizing spectra - background subtraction - polynomial subtraction The following analytical tools have been implemented: - Principal Component Analysis (PCA) - Clustering analysis - Extended Multiplicative Signal Correction (EMSC) analysis The following mapping tools have been implemented: - Producing single spectra files from Renishaw, Witec and Horiba mapping files (.txt) - Mapping the single spectra so imported from Renishaw, Witec or Horiba files - PCA is performed over mapping spectra and PCA-Scores are mapped - ICA is performed over mapping spectra and ICA-coefficients are mapped - Clustering analysis is performed over mapping spectra and Clusters are mapped -
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Visual Figaro
System safety, dependability and security analysis
Visual Figaro is an integrated environment to develop component libraries for the dependability modeling tool KB3 used by EDF (http://www.edf.fr/recherche/codes-de-calcul/kb3). KB3 is based on the FIGARO reliability modeling language, suitable for describing CTMC (continuous time Markov chains), DES (discrete event simulation) models, and for automatic generation of fault trees. FIGARO is objet oriented, close to natural language and enables building libraries of reusable components... -
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codelyzer
Static analysis for Angular projects
A set of tslint rules for static code analysis of Angular TypeScript projects. (If you are using ESLint check out the new angular-eslint repository.). You can run the static code analyzer over web apps, NativeScript, Ionic, etc. Note that by default all components are aligned with the style guide so you won't see any errors in the console. Codelyzer supports any template and style language by custom hooks. If you're using Sass for instance, you can allow codelyzer to analyze your styles by... -
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TOFSIMS
R/Bioconductor toolkit for mass spectrometry data
...The package allows transformation of spectra into 2D image structures (mass images), with operations such as binning, scaling, subsetting, and visual rendering. For data exploration and dimensionality reduction, it includes multivariate methods common in the ToF-SIMS community: PCA (Principal Component Analysis), MCR (Multivariate Curve Resolution), MAF (Maximum Autocorrelation Factors), and MNF (Minimum Noise Fraction). It also interoperates with Bioconductor’s imaging stack (e.g. EBImage) so users can apply segmentation and image analysis operations on mass images. -
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CognitionMaster
object-based image analysis framework
Wienert S, Heim D, Kotani M, Lindequist B, Stenzinger A, Ishii M, Hufnagl P, Beil M, Dietel M, Denkert C, Klauschen F. CognitionMaster: an object-based image analysis framework. Diagn Pathol 2013, 8:34 -
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TX-TL modeling toolbox
Modeling and analysis tools for the TX-TL cell-free expression system
This project contains tools for using the TX-TL cell-free expression system. These tools include component models for simulating and analyzing biomolecular circuits, as well tools for composing circuits and creating more complex systems. NOTE: This project has been shifted to GitHub: https://github.com/BuildACell/txtlsim -
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A Matlab software routine to perform Principal Component Analysis using Covariance, Correlation or Comedian as the criterion. Though, initially developed for experiments related to fretting wear but can be effectively used to interpret experimental data from any field. The attached files contain source code as well as a sample MATLAB (.mat) data file of 13 variables. It could be replaced to the data file of your choice.
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Tool support for creating FMC* diagrams [Block diagrams, Petri nets, Entity-Relationship diagrams (ERD)] in MS-Visio 2000 and newer. Features: stencils, consistency checking, Petri net simulation, exporter e.g. pdf, ... *Fundamental Modeling Concepts A stripped down version of the stencil set is available for TAM (Technical Architecture Modeling of SAP). This set uses UML notation and contains Block, Activity, Sequence, State, Class, and Component diagrams. It doesn't contain Simulation,...
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...The new implemented units are then automatically integrated with the rest of the library. The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.
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# ASPI Kit - Adaptive Identification and Control Software This software is under development by the ASPICC group. Its purpose is to allow users to learn and experiment the use of Neural Networks (NN's) and related Computational Intelligence algorithms on their own data. Users can upload their own data and experiment with various algorithms of various setups to see how the algorithms performs on their data. Users can also investigate and familiarize themselves with the Python code of...
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Maxima poles-zeros for analog circuits
Maxima script for symbolic analysis of analog integrated circuits
...Poles and zeros approximation principle mainly taken from the paper "INDIRECT FEEDBACK COMPENSATION TECHNIQUES FOR MULTI-STAGE OPERATIONAL AMPLIFIERS" by Vishal Saxena Usage examples also can be taken from "Maxima Opamp Analisys" project Any comments bug reports and improvement suggestions are welcomed! ** The project based on script and concept initially developed by Ram Livne ** -
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Pathomx
Workflow-based data analysis built on IPython
Pathomx is a workflow-based tool for the analysis and visualisation of experimental data. Initially created as a tool for metabolomic data analysis is has been extended and can now be used for any scientific and non-scientific data analysis. -
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The BioNLP UIMA Component Repository provides UIMA wrappers for novel and well-known 3rd-party NLP tools used in biomedical text prosessing, such as tokenizers, parsers, named entity taggers, and tools for evaluation.
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PCBColorizer
Automatic coloring PCB - make a color circuit board for installation.
The program is designed for automatic coloring schemes of printed circuit boards for ease of installation. For its work requires some files with information on the printed circuit board, package generated by P-CAD. The basic principle: each type of component (identical components) are marked with a unique symbol that has its own color and style. This simplifies the visual search component on the board. The program also generates a text list of components, where the marks, what type of components is associated with which character on the circuit board. -
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KYM is a MATLAB / GNU Octave set of functions that implements a wavelet-based automated procedure of quantification and characterization of biological signals. In particular it has been thought for the analysis of the oscillatory component of cytosolic calcium concentration time course.
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HanNanum is a Korean Morphological Analyzer and POS Tagger. A plug-in component-based architecture is adapted to the new Java version for flexible use. You can find the work flow for morphological analysis, POS tagging, noun extraction, etc. Contact: kschoi@kaist.ac.kr hjjeong@world.kaist.ac.kr
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An educational tool for designing and simulating digital logic circuits, featuring a simple-to-learn interface, hierarchical circuits, wire bundles, and a large component library. As a Java application, it can run on many platforms.
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PocketAnalyzerPCA combines a geometric algorithm for detecting pockets in proteins with Principal Component Analysis and clustering. This enables visualization and analysis of pocket conformational distributions of large sets of protein structures.