A Julia package for grid-based adaptive design optimization.
MIT License
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning...
HyperTuning: Automated hyperparameter tuning in Julia.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Julia modeling interface to parallel decomposition solver DSP
A package for Multiple criteria decision-making techniques in Julia
Optimization functions for Julia
Design of Experiments in Julia
DecisionProgramming.jl is a Julia package for solving multi-stage decision problems under uncerta...
A unified interface for simulating and evaluating sequential sampling models in Julia.
A Julia package for robust regressions using M-estimators and quantile regressions
A decision-making framework for the cost-efficient design of experiments, balancing the value of ...
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Qu...
Performance and data profiles
Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadra...