Official codebase for the paper "How to build a consistency model: Learning flow maps via self-distillation" (NeurIPS 2025).

Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.

A Julia package that provides (feedback) particle filters for nonlinear stochastic filtering and data assimilation problems

Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'

C++ implementation of statistics tools for stochastic models.