A common framework for implementing and using log densities for inference.
MIT License
Julia Package for computing [controlled] invariant sets of Hybrid Systems using Sum Of Squares Pr...
Finite-element toolbox in Julia
Transformations to contrained variables from ℝⁿ.
Kernel Density Estimate with product approximation using multiscale Gibbs sampling
An interface to various automatic differentiation backends in Julia.
Distances to sets for MathOptInterface
Building blocks of spectral methods for Julia.
Same-same but different
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Bayesian optimization for Julia
A Julia package for simulation, inference and learning of Hidden Markov Models.
Collection of artificial data generators in julia
Fast operator-overloading Jacobian & Hessian sparsity detection.
Examples for Bayesian inference using DynamicHMC.jl and related packages.