Transformations to contrained variables from ℝⁿ.
OTHER License
A common framework for implementing and using log densities for inference.
A Julia package for simulation, inference and learning of Hidden Markov Models.
Examples for Bayesian inference using DynamicHMC.jl and related packages.
[draft] Agnostic Machine Learning models working on CPUs, GPUs, distributed architecture, etc.
A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and ...
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Building blocks of spectral methods for Julia.
An interface for tables in Julia
A fast image augmentation library in Julia for machine learning.
Fast operator-overloading Jacobian & Hessian sparsity detection.
Lightweigth package to print a table that implements the Tables.jl interface in Markdown.
Types with default field values, keyword constructors and (un-)pack macros
Fast and easy parallel mapreduce on HPC clusters
ODE integration using Taylor's method, and more, in Julia
Bayesian optimization for Julia