Search Results for "regression" - Page 4
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Showing 358 open source projects for "regression"
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tsfresh
Automatic extraction of relevant features from time series
...The extracted features can be used to describe or cluster time series based on the extracted characteristics. Further, they can be used to build models that perform classification/regression tasks on the time series. Often the features give new insights into time series and their dynamics. -
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM... -
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shot-scraper
A command-line utility for taking automated screenshots of websites
...After installation, a single command can capture a full-page screenshot of a URL and save it to a file, making it ideal for documentation, monitoring, and visual regression tasks. Under the hood it uses a modern browser (installed via a one-time shot-scraper install step) and exposes options for viewport size, full-page versus clipped screenshots, and device emulation. Beyond simple captures, it can run custom JavaScript before taking the shot, allowing you to open menus, scroll, or manipulate the DOM so the screenshot reflects the desired state. ... -
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PostgresML
The GPU-powered AI application database
...Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database. -
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IPFS Web UI
A frontend for an IPFS node
...The end-to-end tests (E2E) test the full app in a headless Chromium browser. They spawn real IPFS node for HTTP API and a static HTTP server to serve the app. The purpose of those tests is not being comprehensible, but act as a quick regression and integration suite. -
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FLAML
A fast library for AutoML and tuning
FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically. It frees users from selecting learners and hyperparameters for each learner. For common machine learning tasks like classification and regression, it quickly finds quality models for user-provided data with low computational resources. It supports both classical machine learning models and deep neural networks. It is easy to customize or extend. Users can find their desired customizability from a smooth range: minimal customization (computational resource budget), medium customization (e.g., scikit-style learner, search space, and metric), or full customization (arbitrary training and evaluation code). ... -
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brms
brms R package for Bayesian generalized multivariate models using Stan
...It allows R users to specify complex Bayesian models using formula syntax similar to lme4 but with far more flexibility (distributions, link functions, hierarchical structure, nonlinear terms, etc.). It supports model diagnostics, posterior predictive checking, model comparison, custom priors, and advanced features such as distributional regression. -
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Weka
Machine learning software to solve data mining problems
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. -
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Criterial
The package for statistical data analysis and applied mathematics
Putting truth before show-off. Criterial is an add-in for desktop versions of LibreOffice Calc (and forks) for statistical data analysis. The project is built on the refined expertise and core concepts of the AtteStat and StatAnt projects. Completely free. No donations required. Comes with absolutely no warranty. Rating: Everyone (All ages). MEDICAL DISCLAIMER: This software is not certified for use in healthcare and should not be used for diagnostic or treatment purposes. NOTICE FOR EU... -
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.
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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. -
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STK
a Small (Matlab/Octave) Toolbox for Kriging
The STK is a (not so) Small Toolbox for Kriging. Its primary focus in on the interpolation / regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior. The STK also provides tools for the sequential and non-sequential design of experiments. Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE), the STK can be useful for other applications areas (such as Geostatistics, Machine Learning, Non-parametric Regression, etc.). -
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uuv e2e accessibility testing
Open-source platform for automated accessibility testing.
UUV is an open-source platform that automates accessibility testing for web. It helps development, QA, and accessibility teams detect accessibility issues early, improve software quality, and maintain compliance with standards such as WCAG, RGAA, RAWEB. The UUV Desktop Assistant allows users to inspect UI elements, verify accessibility properties, and automatically generate reusable Gherkin scenarios and accessibility assertions. Test execution produces detailed reports with errors,... -
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SCons
A software construction tool
...It's intended to be dropped in to and shipped with packages of other software for builds with SCons but not as a required install. - The scons-src package is the complete source tree, including everything we use to package SCons and all of the regression tests. -
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AnalyRIM
Spreadsheet/dbms
Spreadsheet and DBMS which runs on terminals or terminal emulators (like gnome terminal, xterm, and many others). Buildable on Linux or windows+cygwin Added logic to make more space displayable (see aparms.inc or copies thereof). Many advanced functions, each cell can contain a program. Start with analyrimlinux.zip. Build with analy-install.shellscriipt -
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Machine learning basics
Plain python implementations of basic machine learning algorithms
...Instead of relying on external machine learning libraries, the algorithms are implemented from scratch so that users can explore the mathematical logic and computational structure behind each technique. The repository includes notebooks that demonstrate classic algorithms such as linear regression, logistic regression, k-nearest neighbors, decision trees, support vector machines, and clustering techniques. Each notebook typically combines explanatory text, Python code, and visualizations to illustrate how the algorithm operates and how it can be applied to datasets. -
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TAVIA
Open statistics and scientific graphing
TAVIA is a free and open-source desktop application for statistical analysis, scientific graphing, reproducible workflows, and research project management. It combines editable data tables, statistical tests, regression, dose-response analysis, publication-quality graphs, reports, project history, and reproducibility tools in one workspace. Analyses and graphs remain linked to their source data so results can be refreshed when data changes. TAVIA supports Windows, Linux, and macOS, includes a command-line analysis interface, encrypted project files, plugin support, automatic update checking, and built-in documentation. ... -
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FATE
An industrial grade federated learning framework
...It implements secure computation protocols based on homomorphic encryption and multi-party computation (MPC). Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms, deep learning and transfer learning. FATE became open-source in February 2019. FATE TSC was established to lead FATE open-source community, with members from major domestic cloud computing and financial service enterprises. FedAI is a community that helps businesses and organizations build AI models effectively and collaboratively, by using data in accordance with user privacy protection, data security, data confidentiality and government regulations. -
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OculiX
Visual Automation IDE — automate anything you see on screen
...Key features: - Guided step-by-step recorder with live code preview - Image recognition via OpenCV 4.10 - Dual OCR: Tesseract (built-in) + PaddleOCR (neural, high precision) - Local and remote automation via integrated VNC - SSH tunnels via embedded JSch - Cross-platform: Windows, macOS (Apple Silicon M1-M4), Linux - Scripting: Jython, JRuby, Java, PowerShell, AppleScript - Java 17 recommended (Java 8+ supported) - Full CI/CD with automated builds for all platforms Used worldwide for test automation, RPA, and visual regression testing. MIT License. Maintained by oculix-org. -
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drawx
Fastest crossplot in the west. Data masking capabilities & animations
drawx is a graphics tool for examining ascii data generated elsewhere. drawx is based on X11 and uses basic xlib commands that make drawx fast, portable, and well suited for examining large volumes of data. The expected input for drawx is columnar ascii files and optional drawx directives that can influence how the data are viewed (e.g. plot titles, color, symbols or lines, column titles, etc.). Data in each column is separated by white-space that can be SPACE characters, commas, or tabs.... -
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IONe
ION experimental baseline
The intent of the IONe project is to construct and manage an integrated baseline of Interplanetary Overlay Network (ION) software that includes features which provide potentially useful functionality but are not yet mature enough to be integrated into NASA's operational ION baseline. The concept is that such an experimental code base, lightly regression-tested and packaged for distribution to the ION open-source community on a relatively rapid cadence, could be of value in non-NASA DTN research activities, including the prototyping of new capabilities as discussed by the IETF DTN Working Group. Consolidating into a single source tree as much non-NASA ION development activity as possible may help the ION development community sustain focus and avoid redundant invention. ... -
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dotScope
Scientific shell for live experiment
...Pluggable system: different ADC, conversion data in real time, postprocessing editor. Release 2.5: Store data to files, Several desktops, Complete version of postprocessing modules (Calculation, Linearization, Spline, Line regression, Statistic - mean and RMSD, Spectrum analyzer), Output table data for series experiments -
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stkpp
C++ Statistical ToolKit
STK++ (http://www.stkpp.org) is a versatile, fast, reliable and elegant collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. Some functionalities provided by the library are available in the R environment as R functions (http://cran.at.r-project.org/web/packages/rtkore/index.html). At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template classes in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites. -
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PoseidonQ - AI/ML Based QSAR Modeling
ML based QSAR Modelling And Translation of Model to Deployable WebApps
- This Software was made with an intention to make QSAR/QSPR development more efficient and reproducible. - Published in ACS, Journal of Chemical Information and Modeling . Link : https://pubs.acs.org/doi/10.1021/acs.jcim.4c02372 - Simple to use and no compromise on essential features necessary to make reliable QSAR models. - From Generating Reliable ML Based QSAR Models to Developing Your Own QSAR WebApp. For any feedback or queries, contact kabeermuzammil614@gmail.com - Available on... -
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glslmath
C++ header-only library that simulates GLSL math
GLSLmath provides C++ math operations as defined by GLSL. For example, it provides methods to easily setup viewing transformations and perspective projections. GLSLmath has been inspired by the glm and slmath libraries, which aim to mimic GLSL, but in contrast to those GLSLmath does not focus on a complete conforming implementation of GLSL. It rather aims to provide a convenient single header file that implements the most commonly used subset of GLSL so that it is easy to use for rapid... -
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Gel Blot Analyzer is a comprehensive desktop application designed to streamline the annotation, analysis, and presentation of gel electrophoresis images. Built for researchers, students, and scientists, this tool simplifies the often tedious process of preparing gel images (SDS-PAGE, Western Blots, DNA gels, etc.) for lab notebooks, presentations, and publications. From precise labeling and molecular weight prediction to powerful densitometric analysis, Gel Blot Analyzer combines...
