Search Results for "pca"
Sort By:
Showing 33 open source projects for "pca"
View related business solutions-
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
PCA
binary encryption archiver
Petoron Crypto Archiver (PCA) Key features: AES-256-CFB encryption with unique IV per archive Argon2id key derivation (256MB RAM / time_cost=3 / parallelism=4) HMAC-SHA512 integrity and anti-tampering check No compression, no fingerprinting, no trace of original data Works with both single files and entire directories Fully CLI-based, portable, and open format (.pca) https://github.com/01alekseev/PCA -
2
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. -
3
A Matlab toolkit for all aspects of EEG/ERP analysis, especially PCA. If you run into a problem, please send me a note and I'll fix it. The tutorial pdf is in the documentation folder and the tutorial data can be downloaded from a link provided by the pdf. The tutorial file has full install instructions. For all platforms supported by Matlab.
-
4
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. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
5
MatlabMachine
Machine learning algorithms
Matlab-Machine is a comprehensive collection of machine learning algorithms implemented in MATLAB. It includes both basic and advanced techniques for classification, regression, clustering, and dimensionality reduction. Designed for educational and research purposes, the repository provides clear implementations that help users understand core ML concepts. -
6
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. -
7
ESPectre
Motion detection system based on Wi-Fi spectre analysis (CSI)
ESPectre is an open-source motion detection system that transforms ordinary Wi-Fi signals into an ambient sensor capable of detecting movement without using cameras, microphones, or additional radio hardware, making it a privacy-preserving and cost-effective alternative for presence sensing and smart home automation. At its core, it analyzes Wi-Fi Channel State Information (CSI) — detailed measurements of how Wi-Fi waves change as they propagate — to mathematically detect disturbances caused... -
8
AutoMLPipeline.jl
Package that makes it trivial to create and evaluate machine learning
...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. -
9
awesome-single-cell
Community-curated list of software packages and data resources
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc. List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc. Rapid, accurate and memory-frugal preprocessing of single-cell and single-nucleus RNA-seq data. Find bimodal, unimodal, and multimodal features in your data. Ascend is an R package comprised of fast, streamlined analysis functions optimized to... -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
10
MultivariateStats.jl
A Julia package for multivariate statistics and data analysis
A Julia package for multivariate statistics and data analysis (e.g. dimensionality reduction). -
11
SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. SAGA is programmed in the object oriented C++ language and supports the implementation of new functions with a very effective Application Programming Interface (API). Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting...
-
12
proSeq
ProSeq is a GUI program to edit and analyse DNA polymorphism datasets
...It shows sequence alignments in a graphical window and allows the user to edit, manipulate and analyse sequences in various ways. ProSeq4 includes tools to analyse DNA polymorphism, scan for selection, do PCA and reconstruct phylogenies from sequence or SNP data. The program can also run coalescent simulations and generate and visualise phylogenies. The main changes in Proseq4 compared to Proseq3: - Multiplatform. Binaries available for Windows, Mac and Ubuntu. - It is now a 64-bit program, which can handle larger datasets (genome-scale from multiple individuals)... -
13
...Contract Details: - Ethereum Mainnet - Contract: 0xCe675D637bB5E3aDAFDC4d1e475a35D75F6D95bc - Total supply: 20,000,000 PTRN - Treasury: 0x31187017dC243d4D46126bB5a160Bb98FFeef39b Petoron is an entire cryptography ecosystem developed to give people real tools for privacy and data protection: - 🔐 PTBC — Petoron Time Burn Cipher (time-based self-destructing encryption) - 📜 PSC — Petoron Seal Contracts (tamper-proof sealed data) - 📦 PCA — Petoron Crypto Archiver (secure archiving) - 🧹 PLD — Petoron Local Destroyer (irreversible deletion) - ⚛️ PQS — Petoron Quantum Standard (quantum-resistant encryption) - 💬 P2P Messenger — fully encrypted peer-to-peer communication https://github.com/01alekseev/-PTRN--Petoron--token
-
14
NAVAL-SEM
Award-winning open-source offline SEM platform for PLS-SEM & CB-SEM
NAVAL-SEM is an award-winning, free and open-source offline Structural Equation Modeling (SEM) platform supporting PLS-SEM and CB-SEM workflows. Designed for researchers, PhD scholars, professors, and analysts, it provides visual model building, measurement assessment, structural model analysis, and reproducible research workflows without subscriptions or cloud dependency. Features include: • PLS-SEM & CB-SEM • Bootstrapping, mediation, moderation & conditional process analysis • HTMT,... -
15
Streamline Analyst
AI agent that streamlines the entire process of data analysis
Streamline Analyst is a cutting-edge, open-source application powered by Large Language Models (LLMs) designed to revolutionize data analysis. This Data Analysis Agent effortlessly automates all the tasks such as data cleaning, preprocessing, and even complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless. -
16
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). -
17
MothurR
This program mainly produces R scripts using Mothur result files.
The program generates R scripts to draws line/bar graphs using Mothur diversity and classification files, to calculate Shannon indexes, to perform PCA, Mann-Whitney U test, and pMANOVA test. -
18
GSMLBook
Recipes for basic machine learning algorithms using sklearn in jupyter
...Topics include linear, multilinear, polynomial, stepwise, lasso, ridge, and logistic regression; ROC curves and measures of binary classification; nonlinear regression (including an introduction to gradient descent); classification and regression trees; random forests; neural networks; probabilistic methods (KNN, naive Bayes', QDA, LDA); dimensionality reduction with PCA; support vector machines; and clustering with K-Means, hierarchical, and DBScan. Appendices provide a review of probability and linear algebra. While some mathematical foundation is provided, it is not essential for understanding the implementations. The target audience is advanced community college and university students. -
19
Toolbox for handling X-ray transmission image data collected using the Xradia TXM system. We are constantly updating the code to implement other file formats as well - suggestions are welcome. Main articles: -) TXM-Wizard: a program for advanced data collection and evaluation in full-field transmission X-ray microscopy, Journal of Synchrotron Radiation, 19, 281-287. (2012) http://scripts.iucr.org/cgi-bin/paper_yard?hf5192 -) 3D elemental sensitive imaging using transmission X-ray...
-
20
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. -
21
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....
-
22
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. -
23
Buridan
Tracker for buridan experiments, and analysis for trajectory data
Buritrack is a program to track individual Drosophila fruit flies online with any camera as they walk in Buridan's paradigm. Available for Macs and PCs. The program extracts the coordinate locations of the fly and stores them in a text file. CeTrAn: centroid trajectory analysis: Tools written in R to analyze the flies' trajectories. Other types of trajectories may also be analyzed using the software. -
24
Facial Expression Recognition
Facial Expression Recognition System - Matlab source code
We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality reduction in input data while retaining those characteristics of the data set that contribute most to its variance, by keeping lower-order principal components and ignoring higher-order ones. Such low-order components contain the "most important" aspects of the data. The extracted feature vectors in the reduced space are used to train the supervised Neural Network classifier. ... -
25