Bayesian optimization for Julia
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Published by jbrea almost 6 years ago
Julia AMPL Models Conforming to NLPModels.jl
Bayesian Statistics using Julia and Turing
Data Structures for Optimization Models
A Julia package for grid-based adaptive design optimization.
Differentiable trajectory optimization in Julia.
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Qu...
Gaussian Process package based on data augmentation, sparsity and natural gradients
Optimization functions for Julia
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
Performance and data profiles
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
A Julia package for simulation, inference and learning of Hidden Markov Models.
Data structures for linear and quadratic optimization problems based on NLPModels.jl
A Julia package for robust regressions using M-estimators and quantile regressions
