Automatic probabilistic programming for scientific machine learning and dynamical models

Code for our UAI '20 paper "Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes"

Julia Package for Generating Scenario Trees and Scenario Lattices for Multistage Stochastic Optimization

Julia package for generating random quantum states and processes according to a number of natural distributions.

Large scale Gaussian Mixture Models

Play atmospheric modelling like it's LEGO.

Julia package for automated Bayesian inference on a factor graph with reactive message passing

Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid

Random matrices package for Julia

Foundational tooling for handling collections of parameters in models

Data driven acoustic propagation models

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A Julia Package for Simple Manipulation of Symplectic Matrices