mlpack: a fast, header-only C++ machine learning library
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Updated
Jul 11, 2024 - C++
mlpack: a fast, header-only C++ machine learning library
Fast radial basis function interpolation for large scale data
Testing repository for the Asp Scripting Platform for embedded systems. Includes an Asp engine fuzz tester and Asp test scripts for regression testing. MIT license.
Will be a Gaussian Process library, aiming to cover regression, classification and latent space modelling.
Python package for Sorted L-One Penalized Estimation (SLOPE)
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.
Parallelized lasso problem implementation for the alpaqa solvers.
Machine Learning library
Simple implementation of the K-Nearest Neighbour algorithm
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Robust Chauvenet Outlier Rejection: RCR is advanced, but easy to use, outlier rejection.
A C++ cross-platform framework for machine learning algorithms development and testing.
SG⁺⁺ – the numerical library for Sparse Grids in all their variants.
R Package implementing the Penalized Elastic Net S- and MM-Estimator for Linear Regression
Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.
Implemented codes for CSE2201, CSE2202
Meshed GP for Bayesian spatial big data regression
Machine learning library written in pure C++ as a way to learn about machine learning & improve my C++ knowledge + skills
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