The Julia Programming Language

🎈 Simple reactive notebooks for Julia

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…

A general-purpose probabilistic programming system with programmable inference

Binary Dependency Builder for Julia

Probabilistic Programming with Gaussian processes in Julia

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

Julia package for kernel functions for machine learning

Types and utility functions for summarizing Markov chain Monte Carlo simulations

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

A Julia interface to the Gurobi Optimizer

Abstract types and methods for Gaussian Processes.

A Bayesian Analysis Toolkit in Julia

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Uniform Interface for positive definite matrices of various structures

Hidden Markov Models for Julia.

A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

Flexible filtering and smoothing in Julia

Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains

Implementations of single and multi-ellipsoid nested sampling