High level functions for analyzing the output of simulations

A Julia package to solve, simulate, and analyze nonlinear DSGE models.

Flexible and performant GEMM kernels in Julia

Implementation of variational Bayes inference algorithms

Imputation methods for missing data in julia

Solid state detector field and charge drift simulation in Julia

A julia package for representing and manipulating model semantics

Interactive plotting made easy

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

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

Fast Fourier transforms of MPI-distributed Julia arrays

JuliaCon. Everywhere.

WIP successor to Soss.jl

Preheat your MCMC

Flexible filtering and smoothing in Julia

An Extensible Test Matrix Collection for Julia

Modeling and Simulation of 3D systems

Create truth tables in Julia!

Plotting for Julia based on matplotlib.pyplot

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

Survival analysis in Julia

Implementation of the Deep Q-learning algorithm to solve MDPs

Structured optimization in Julia

Julia toolkit for open quantum system simulation.

Julia-powered dashboards, inspired by Material Design

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

Build Petri net models compositionally

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

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

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

Bayesian Generalized Linear models using `@formula` syntax.

Makie package to plot maptiles from various map providers

Simulation and visualization of articulated rigid body systems in Julia

Tools for Julia package developers

Trivial functions for working with coverage for packages locally.

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

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

Sequential Monte Carlo algorithm for approximation of posterior distributions.