Search Results for "principal component regression"
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Showing 31 open source projects for "principal component regression"
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MultivariateStats.jl
A Julia package for multivariate statistics and data analysis
A Julia package for multivariate statistics and data analysis (e.g. dimensionality reduction). -
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Linfa
A Rust machine learning framework
linfa aims to provide a comprehensive toolkit to build Machine Learning applications with Rust. Kin in spirit to Python's scikit-learn, it focuses on common preprocessing tasks and classical ML algorithms for your everyday ML tasks. -
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ml.js
Machine learning tools in JavaScript
This library is a compilation of the tools developed in the mljs organization. It is mainly maintained for use in the browser. If you are working with Node.js, you might prefer to add to your dependencies only the libraries that you need, as they are usually published to npm more often. We prefix all our npm package names with ml- (eg. ml-matrix) so they are easy to find. -
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AutoMLPipeline.jl
Package that makes it trivial to create and evaluate machine learning
...It leverages on the built-in macro programming features of Julia to symbolically process, and manipulate pipeline expressions and makes it easy to discover optimal structures for machine learning regression and classification. To illustrate, here is a pipeline expression and evaluation of a typical machine learning workflow that extracts numerical features (numf) for ica (Independent Component Analysis) and pca (Principal Component Analysis) transformations, respectively, concatenated with the hot-bit encoding (ohe) of categorical features (catf) of a given data for rf (Random Forest) modeling. -
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Playbook
A library for isolated developing UI components
...Components built by using Playbook can generate a standalone app as living style guide. This allows you to not only review UI quickly but also deliver more robust designs by separating business logics out of components. Besides, snapshots of each component can be automatically generated by unit tests, and visual regression testing can be performed using arbitrary third-party tools. For complex modern app development, it’s important to catch UI changes more sensitively and keep improving them faster. With the Playbook, you don't have to struggle through preparing the data and spend human resources for manual testings. -
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React Screenshot Test
A dead simple library to screenshot test React components
A dead simple library to screenshot test React components. Under the hood, we start a local server that renders components server-side. Each component is given its own dedicated page (e.g. /render/my-component). Then we use Puppeteer to take a screenshot of that page. If you work on a team where developers use a different OS (e.g. Mac OS and Linux), or if you develop on Mac OS but use Linux for continuous integration, you would quickly run into issues where screenshots are inconsistent... -
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nut.js
Native UI testing / controlling with node
nut.js gives you full control over your mouse. Move, click or drag your cursor where you need it! Press (and hold) single keys or type pages of text, nut.js handles both! It allows for native UI interactions via keyboard and/or mouse but additionally gives you the possibility to navigate the screen based on image matching. nut.js gives you access to your system clipboard. Copy and paste text as you go! Retrieve info about open windows to improve your tests or workflows. nut.js provides... -
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IPFS Web UI
A frontend for an IPFS node
...The purpose of those tests is not being comprehensible, but act as a quick regression and integration suite. -
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Jacobi-Static
STATIC/EX - simple multivariate statistics calculator
The STATIC/EX includes three applications: static.exe - a simple multivariate statistics calculator; spector.exe - file and online data viewer; tester.exe - an IPC client to develop and debug operations with embedded STATIC/EX IPC server. This toolkit can be used for: • user's training (who are interested in multivariate statistics) • scientific and other data researching. -
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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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Point-E
Point cloud diffusion for 3D model synthesis
...While it does not match the fine detail of some slower methods, the tradeoff in speed makes it practical for prototyping and interactive 3D generation. The repository includes inference scripts, utilities for converting point clouds to meshes (e.g. via signed distance function regression), sample notebooks, and weight checkpoints. It also provides documentation on limitations, usage instructions, and example outputs. -
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Raman Tool Set
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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AyeSpy
A performant visual regression testing tool
Aye Spy is a high-performance visual regression tool to catch UI regressions. Aye Spy takes inspiration from existing projects such as Wraith and BackstopJs. We have found visual regression testing to be one of the most effective ways to catch regressions. It's a great tool to have in your pipeline, but the current solutions on the market were missing one key component we felt was essential for a great developer experience performance. -
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SVPhylA
SVPhylA: Sequence Vectorization for Phylogenetic Analyses
...Such alignment-free methods basically encode DNA and protein sequences (fasta files) into numerical vectors allowing the calculation of alignment-free distances which may be combined into a consensus/compromise matrix by using algorithms like DISTATIS based on Multidimensional Scaling (MSD), Lineal Principal Component Analysis (PCA) and PCA-Kernel (non-lineal). In addition, genetic distances derived can be either combined between them or with the alignment-free distances. So far, SVPhylA contain a module to compare tree topologies by using different distance measures as a validation procedure. The statistical validation (bootstrap and jacknife) of the alignment-free trees is being developed SVPhylA is mostly designed to interact to MEGA (MOLECULAR EVOLUTIONARY GENETICS ANALYSIS). -
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AET
Detects visual changes on websites and performs page health checks
AET is a system that detects visual changes on websites and performs basic page health checks (like w3c compliance, accessibility, HTTP status codes, JS Error checks and others). AET is designed as a flexible system that can be adapted and tailored to the regression requirements of a given project. The tool has been developed to aid front-end client-side layout regression testing of websites or portfolios, in essence assessing the impact or change of a website from one snapshot to the next. -
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Wraith
A responsive screenshot comparison tool
Wraith is a screenshot comparison tool, created by developers at BBC News. Wraith uses a headless browser to create screenshots of webpages on different environments (or at different moments in time) and then creates a diff of the two images; the affected areas are highlighted in blue. There are two main modes for using Wraith, 'capture' mode and 'history' mode. Wraith has some built-in JavaScript and configuration file templates for you to get started with right away. If you wish to take... -
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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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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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Zika-RNAseq-Pipeline
An open RNA-Seq data analysis pipeline tutorial
...The pipeline uses state-of-the-art tools and can run on various platforms with minimal configuration overhead. The pipeline enables the extraction of knowledge from typical RNA-seq studies by generating interactive principal component analysis (PCA) and hierarchical clustering (HC) plots, performing enrichment analyses against over 90 gene set libraries, and obtaining lists of small molecules that are predicted to either mimic or reverse the observed changes in mRNA expression. -
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Face recognition PCA
Face recognition using Principal component Analysis Algorithm
A Face recognition Dynamic Link Library using Principal component Analysis Algorithm -
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RDA Toolbox
MATLAB tool for analysis of Raman spectra.
Provides principal component analysis, discriminant analysis, peak analysis, and clustering tools powered by MATLAB in an easy-to-use interface for the interpretation of Raman spectroscopy data. -
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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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NGSbinningpytools
Python tools for binning NGS scaffolds to various genomes.
Next generation sequencing has opened new avenues for sequencing prokaryotes which were difficult or either impossible to culture. Now, it is possible to sequence all organisms present in a metagenomic community. However, a critical problem is to determine the host organism for each genomic fragment present in the dataset. This project provides the computational tools for assigning the organismal identity for each genomic scaffold in the given dataset. For more detailed documentation... -
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principal component analysis
This program demonstrates the application of principal component analy
