BasisResearch/dynestyx

A Python package for probabilistic state space modeling with JAX

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Probabilistic Inference on Noisy Time Series

Swirl-Dynamics is a python repository that provides implementations of models, benchmarks and utilities for dynamical systems.

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

State-space model inference with JAX

Bayesian Modeling and Probabilistic Programming in Python

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Deep universal probabilistic programming with Python and PyTorch