Implementation of variational Bayes inference algorithms

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

A julia package for representing and manipulating model semantics

🧬High-performance genetics- and genomics-related data visualization using Makie.jl

Solid state detector field and charge drift simulation in Julia

Flexible filtering and smoothing in Julia

Preheat your MCMC

Julia package for formulating and analyzing stochastic recourse models.

WIP successor to Soss.jl

Modeling and Simulation of 3D systems

Monte Carlo Tree Search for Markov decision processes using the POMDPs.jl framework

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

Survival analysis in Julia

Simulation, visualization, and inference of individual level infectious disease models with Julia

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

Implementation of the Deep Q-learning algorithm to solve MDPs

Structured optimization in Julia

Distributed table structures and data manipulation operations built on top of Dagger.jl

Julia toolkit for open quantum system simulation.

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

A Julia package for representing infinite-dimensional arrays

Simulation and visualization of articulated rigid body systems in Julia

Inference of microbial interaction networks from large-scale heterogeneous abundance data

Bayesian Generalized Linear models using `@formula` syntax.

A simple tool for simulating trapped ion systems

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

Generalized mean-field equations in open quantum systems

Sequential Monte Carlo algorithm for approximation of posterior distributions.

DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

Econometrics in Julia

Taylor-mode automatic differentiation for higher-order derivatives

Restricted Boltzmann Machines in Julia

Everything you've never dreamed about measuring on ecological networks.

Turing + Makie = Turkie

Global glacier model using Universal Differential Equations for climate-glacier interactions

A comprehensive suite of coherent noise algorithms and composable tools for manipulating them.

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Fast matrix multiplication and division for Toeplitz matrices in Julia

Integrated Assessment Modeling Framework

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations