Regression

skproPython

A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.

XGBoostJulia

A Julia interface for XGBoost, providing efficient distributed gradient boosting for regression, classification, and ranking.

Node-SVMJavaScript

A Node.js library implementing Support Vector Machines (SVM) for classification and regression tasks.

rb-libsvmC++

Ruby language bindings for the LIBSVM library, enabling support vector machine (SVM) classification and regression in Ruby.

recheck-webHTML

A Golden Master-based test framework for Selenium that enables deep visual and functional regression testing with unbreakable element identification.

machine learningJavaScript

A web interface and REST API for classification and regression using Support Vector Machine (SVM) and Support Vector Regression (SVR) algorithms.

MorpheusJava

A high-performance, type-safe DataFrame library for the JVM enabling large-scale data analysis with parallel processing capabilities.

scicloj.mlClojure

An idiomatic Clojure machine learning library providing a unified interface for classification, regression, and unsupervised models.

scikit-rvmPython

A scikit-learn compatible Python implementation of the Relevance Vector Machine for sparse Bayesian learning.

Decision TreesTypeScript

A Node.js library implementing Decision Tree (ID3/CART), Random Forest, and XGBoost algorithms with TypeScript support and automatic data type detection.

AyeSpyJavaScript

A high-performance visual regression testing tool that catches UI regressions with fast image comparisons.

DynaMLScala

A Scala and JVM machine learning toolbox for research, education, and industry with an interactive REPL and end-to-end pipelines.

MLKitSwift

A simple machine learning framework written in Swift, currently focusing on regression algorithms.

clj-mlClojure

A machine learning library for Clojure built on top of Weka, providing filters, classifiers, regression, and clustering algorithms.

neural-net-rubyRuby

A lightweight feedforward neural network with resilient backpropagation (Rprop), implemented in pure Ruby with no external dependencies.

xgbRuby

A Ruby interface to XGBoost, providing high-performance gradient boosting for machine learning tasks.

texregR

Converts R regression model outputs into publication-ready LaTeX or HTML tables for easy model comparison.

YCMLObjective-C

A machine learning and optimization framework for Objective-C and Swift, focused on regression and multi-objective evolutionary algorithms.

emelGleam

A simple and functional machine learning library for Erlang, Elixir, and Gleam projects.

RFGo

A parallel Random Forest implementation in Go for classification and regression tasks.

PredictionBuilderPHP

A PHP library for building predictions using linear regression with simple data fitting.

GLMNetJulia

A Julia wrapper for fitting Lasso and ElasticNet GLM models using the glmnet Fortran library.

statsampleRuby

A comprehensive Ruby suite for performing basic and advanced statistical analysis, including regression, factor analysis, and reliability testing.

lightgbmRuby

A Ruby gem providing high-performance gradient boosting with LightGBM for machine learning tasks.

liblinear-rubyC++

Ruby interface to LIBLINEAR for machine learning classification and regression tasks using SWIG bindings.

gonetGo

A Go module implementing multi-layer neural networks for machine learning tasks.