Search Results for "principal component regression"
Sort By:
Showing 28 open source projects for "principal component regression"
View related business solutions-
Our Free Plans just got better! | Auth0 by OktaYou asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your secuirty. Auth0 now, thank yourself later.
-
Shift, the browser that merges all of your web apps into one powerful window.Streamline everything you do online when you install Shift and access thousands of apps without leaving your browser. Connect all of your Gmail, Outlook, and Office 365 accounts and manage everything from one centralized window. Build out your Shift browser with apps that integrate seamlessly so you have ultra-fast access to all the tools you use to stream, shop, work, browse, and stay connected. Shift brings it all together.
-
1
MultivariateStats.jl
A Julia package for multivariate statistics and data analysis
A Julia package for multivariate statistics and data analysis (e.g. dimensionality reduction). -
2
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. -
3
nut.js
Native UI testing / controlling with node
... to perform on-screen image search, the key component for visual testing or image-based automation! nut.js works on all major operating systems. Windows, macOS and Linux! An improved image matching plugin that supports Apple Silicon chips, works across all current and future node/Electron versions and provides multi-image matching. -
4
AutoMLPipeline.jl
Package that makes it trivial to create and evaluate machine learning
... (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. -
Bright Data - All in One Platform for Proxies and Web ScrapingBright Data offers the highest quality proxies with automated session management, IP rotation, and advanced web unlocking technology. Enjoy reliable, fast performance with easy integration, a user-friendly dashboard, and enterprise-grade scaling. Powered by ethically-sourced residential IPs for seamless web scraping.
-
5
Playbook
A library for isolated developing UI components
... 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. -
6
IPFS Web UI
A frontend for an IPFS node
A web interface to IPFS, shipped with Kubo, and ipfs-desktop. Check on your node stats, explore the IPLD powered merkle forest, see peers around the world and manage your files, without needing to touch the CLI. When working on the code, run an ipfs daemon, the local dev server, the unit tests, and the storybook component viewer and see the results of your changes as you save files. If you need to run IPFS in a Docker container, you can still have Web UI available by exposing both the Gateway... -
7
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. -
8
AtteStat
The package for statistical data analysis and applied mathematics
The high performance open source package for statistical data analysis and applied mathematics AtteStat is an add-in for desktop versions of the Microsoft Excel spreadsheets. Both 32-bit and 64-bit in one package. The combination of the unsurpassed convenience of spreadsheets and the effective interception of Microsoft Excel exceptions (frontend) and the maximum speed of the C++ programming language (backend). Winner of contest Microsoft Office Extensions (PC Magazine RE) in 2006.... -
9
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
-
Qrvey allows SaaS companies to create richer products and bring them to market fasterQrvey is a low code embedded analytics platform built to help SaaS providers by simplifying the process of putting analytics tools in the hands of all users as fast as possible.
-
10
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... -
11
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. -
12
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. -
13
SVPhylA
SVPhylA: Sequence Vectorization for Phylogenetic Analyses
SVPhylA is a python tool for the calculation of several alignment-free distances for phylogenetics analysis from the most popular alignment-free approaches. 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... -
14
Wraith
A responsive screenshot comparison tool
... screenshots of a component rather than the entire page, use casperjs and pass a selector along with your paths. In the 'component' example config, you can see how we specify a component name, domain path and selector we want to capture. All config options will be placed in a YAML config file. You set the headless browser, diff mode, threshold, fuzz amount and screen widths. -
15
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. The code is open source but you are requested to give credits if used...
-
16
Zika-RNAseq-Pipeline
An open RNA-Seq data analysis pipeline tutorial
... 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. -
17
Face recognition PCA
Face recognition using Principal component Analysis Algorithm
A Face recognition Dynamic Link Library using Principal component Analysis Algorithm -
18
... 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.
-
19
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. -
20
# 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...
-
21
principal component analysis
This program demonstrates the application of principal component analy
-
22
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... -
23
HSOC
Heterogeneous System-on-Chip Platform
HSoC is a open source, SystemC-based, cycle-accurate virtual platform for heterogeneous shared memory-based multicore SoCs. Each HSoC component has a clean interface, implements a separate class, and includes regression tests. Large-scale models can be instantiated, by connecting objects from all HSoC libraries. Each object may collect data by invoking a monitoring library. The target users are CS/EE professionals. Some experience with SoC design methodology and SystemC (e.g. reading... -
24
dPCA
dPCA is a data exploration technique using metadata
Demixed Principal Component Analysis (dPCA) is a new data exploration technique. Just like Principal Component Analysis (PCA), dPCA searches for a subspace that captures a high amount of information about a data set. However, often your data points have labels like time, stimulus presented, reward achieved, etc. In contrast to PCA, that completely ignores these labels, dPCA benefits from the labels and tries to find components that capture variance due to only a small subsets of the labels... -
25
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.