Alternatives and similar repositories for GPareto

Users that are interested in GPareto are comparing it to the libraries listed below

• Evolutionary-Optimization-Laboratory / rmoo
  An R package for multi/many-objective optimization with non-dominated genetic algorithms' family
  ☆31Updated last year
• faosorios / fastmatrix
  Fast computation of some matrices useful in statistics
  ☆21Updated 2 months ago
• mayer79 / flashlight
  Machine learning explanations
  ☆24Updated 2 months ago
• eddelbuettel / rcppnloptexample
  Rcpp Example for accessing NLopt
  ☆14Updated 7 months ago
• ModelOriented / xspliner
  Explain black box with GLM
  ☆23Updated 6 years ago
• mfasiolo / mvnfast
  Fast methods for multivariate normal distributions
  ☆37Updated 2 years ago
• futureverse / marshal
  [PROTOTYPE] R package: marshal - Framework to Marshal Objects to be Used in Another R Processes
  ☆15Updated 8 months ago
• coatless-rpkg / r-to-armadillo
  Converting base R code to Armadillo code for use with RcppArmadillo or for external programs (e.g. Matlab, Mathematica, ...)
  ☆30Updated 2 years ago
• ypan1988 / roptim
  General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() s…
  ☆21Updated 3 months ago
• david-cortes / installing-optimized-libraries
  Step-by-step guide for installing scientific libraries for R and Python in ways that maximize their performance
  ☆15Updated last year
• jakobbossek / ecr2
  ecr: Evolutionary Computation in R (version 2)
  ☆43Updated 2 years ago
• bearloga / bayesopt-tutorial-r
  Tutorial on Bayesian optimization in R
  ☆15Updated 3 years ago
• mfasiolo / gamFactory
  Tools for building new GAM models in mgcv
  ☆16Updated 7 months ago
• e-sensing / torchopt
  R implementation of advanced optimizers for torch
  ☆26Updated 2 years ago
• config-i1 / legion
  Multivariate models for forecasting purposes
  ☆12Updated last month
• tnagler / kde1d
  R package for univariate kernel density estimation
  ☆14Updated 5 months ago
• USCbiostats / fmcmc
  A friendly MCMC framework
  ☆16Updated 3 weeks ago
• bnaras / cvxr_tutorial
  useR! 2019 CVXR tutorial
  ☆30Updated last week
• bips-hb / neuralnet
  Training of Neural Networks
  ☆35Updated 5 years ago
• SteffenMoritz / ridge
  CRAN R Package: Ridge Regression with automatic selection of the penalty parameter
  ☆18Updated 2 years ago
• config-i1 / greybox
  Regression model building and forecasting in R
  ☆31Updated last month
• coatless-rpkg / rcppensmallen
  [On CRAN] Rcpp integration for the Ensmallen templated C++ mathematical optimization library
  ☆32Updated 3 months ago
• mlr-org / bbotk
  Black-box optimization framework for R.
  ☆24Updated 3 weeks ago
• kaskr / tmbstan
  ☆33Updated 11 months ago
• smilesun / rlR
  Deep Reinforcement Learning in R (Deep Q Learning, Policy Gradient, Actor-Critic Method, etc)
  ☆26Updated 6 years ago
• trnnick / nnfor
  ☆30Updated last year
• jolars / SLOPE
  Sorted L1 Penalized Estimation
  ☆19Updated this week
• 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…
  ☆14Updated 4 months ago
• gagolews / lmlcr
  Lightweight Machine Learning Classics with R (Book Draft)
  ☆17Updated 3 years ago
• mkln / meshed
  Meshed GP for Bayesian spatial big data regression
  ☆15Updated 3 months ago