A simple but generic implementation of Expectation Maximization algorithms to fit mixture models.
MIT License
A Julia package for robust regressions using M-estimators and quantile regressions
A Julia package that implements a category of reaction (transportation) network-type dynamical sy...
Julia implementation of elliptical slice sampling.
A unified interface for simulating and evaluating sequential sampling models in Julia.
Julia package for function approximation
Multi-language suite for high-performance solvers of differential equations and scientific machin...
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesia...
Evidential Deep Learning Layers for Flux
Non-homogenous Hidden Markov Models
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning...
A hybrid sampler for the Pólya-Gamma distribution in Julia, implementing multiple algorithms for ...
Approximate variational inference in Julia
A Julia package for differentiating through expectations with Monte-Carlo estimates
Linear Regression for Julia