Bayesian optimization for Julia
OTHER License
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Qu...
A Julia package for grid-based adaptive design optimization.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Data structures for linear and quadratic optimization problems based on NLPModels.jl
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Bayesian Statistics using Julia and Turing
Data Structures for Optimization Models
Julia AMPL Models Conforming to NLPModels.jl
A Julia package for robust regressions using M-estimators and quantile regressions
A Julia package for simulation, inference and learning of Hidden Markov Models.
Gaussian Process package based on data augmentation, sparsity and natural gradients
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
Optimization functions for Julia
Performance and data profiles
Differentiable trajectory optimization in Julia.