mlpack: a fast, header-only C++ machine learning library

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Fast radial basis function interpolation and kriging for large scale data

Vanishing Point detection for images and videos using Least Squares in C++

SG⁺⁺ – the numerical library for Sparse Grids in all their variants.

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexi…

Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.

Yet another neural network library

The SmartPET Feeder that is high precision, Easy-to-use and Time-based.

library of numerical methods using Armadillo

Support Vector Regression for Unsupervised Machine Learning

Calculate potential, exponential, logarithmic, lineal and logistic regressio in Arduino.

Dynamic parameter identification of a 7-DOF robotic manipulator

Meshed GP for Bayesian spatial big data regression

Numerary is open source Scientific Library that contains many numerical methods.

A Perl binding for LIBLINEAR, a library for classification/regression using linear SVM and logistic regression.

R package for performance assessment and comparison for survival analysis

Structured additive regression using iterative methods