armadillo
There are 85 repositories under armadillo topic.
kthohr/optim
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
kthohr/stats
A C++ header-only library of statistical distribution functions.
conradsnicta/armadillo-code
Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net
RcppCore/RcppArmadillo
Rcpp integration for the Armadillo templated linear algebra library
kthohr/mcmc
A C++ library of Markov Chain Monte Carlo (MCMC) methods
steven-varga/h5cpp
C++17 templates between [stl::vector | armadillo | eigen3 | ublas | blitz++] and HDF5 datasets
olmallet81/URT
Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python
RUrlus/carma
Converters between Armadillo matrices (C++) and Numpy arrays using Pybind11
andrewssobral/dtt
A C++ header-only for data transfer between linear algebra libraries (Eigen, Armadillo, OpenCV, ArrayFire, LibTorch).
larsgeb/psvWave
Forward code for the P-SV wave equation on a staggered grid, with full waveform inversion interfaces. Finite difference approach according to stress-velocity formulation.
auralius/kalman-cpp
Kalman Filter, Extended Kalman Filter, and Unscented Kalman Filter implementation in C++
coatless-rpkg/rcppensmallen
Rcpp integration for the Ensmallen templated C++ mathematical optimization library
coatless-rpkg/r-to-armadillo
Converting base R code to Armadillo code for use with RcppArmadillo or for external programs (e.g. Matlab, Mathematica, ...)
graemeleehickey/joineRML
R package for fitting joint models to time-to-event data and multivariate longitudinal data
Harlinn/Harlinn.Windows
A collection of, mostly, C and C++ libraries
SMAC-Group/gmwm
Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particularly suitable for the estimation of certain state-space models.
conradsnicta/bandicoot-code
Bandicoot: C++ library for GPU linear algebra & scientific computing - https://coot.sourceforge.io
darcamo/gdb_armadillo_helpers
Some pretty printers and other useful GDB stuff when using the C++ armadillo linear algebra library
samadritakarmakar/Project-FEA
ProjectFEA is a Finite Element Library. It is being designed such that new weak forms of different models can be easily defined and used.
codestorm04/Arma_ML
high performance statistic machine learning libraries in C++ [based on Armadillo-9.300]
arotem3/numerics
library of numerical methods using Armadillo
TraME-Project/TraME
A toolbox for solving problems of equilibrium computation and identification in discrete choice and matching problems.
ypan1988/roptim
General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() solver
krivenko/ezARPACK
A C++ ARPACK-NG wrapper compatible with multiple matrix libraries
Pakketeretet2/rehuel
Rehuel is a simple C++11 library for solving ordinary differential equations with (implicit) Runge-Kutta methods.
mlampros/elmNNRcpp
Extreme Learning Machine using RcppArmadillo
tmsalab/dina
Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.
Hangcil/fmincon-with-Cpp
A part of C++ optimization lib based on armadillo. It just implements one of the frequently used functions fmincon().
mensaochun/myna
A machine learning library written in c++
Xavier-i/Cetus
C++ Library of machine learning under development, includes SVM, linear regression, logistic regression etc.
conradsnicta/armadillo-gmm
gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation
conradsnicta/pyarmadillo
streamlined linear algebra library for Python - https://pyarma.sourceforge.io
FraCorti/MLProject
Neuradillo: a small neural networks library written in C++
GiovanniSorice/MLProject
Project for the Machine Learning course
pachadotdev/cpp11armadillo
The idea is to pass matrices/vectors from R to C++, write pure C++/Armadillo code for the computation, and then export the result back to R with the proper data structures.
egordm/libtempo
C++ / Python library with signal processing and tempo estimation utilities.