An abstract interface for plotting libraries, part of the Makie ecosystem.

CliMA model dycore

Stochastic Optimization, Learning, Uncertainty and Sampling

Julia package for the Apache ECharts v4 visualization library

OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.

Spin dynamics and generalization to SU(N) coherent states

Solve Fractional Differential Equations using high performance numerical methods

Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.

ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

High level functions for analyzing the output of simulations

Simulated Method of Moments for Julia

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

Fast Fourier transforms of MPI-distributed Julia arrays

Preheat your MCMC

Core types for regularly-sampled multichannel signals like Audio, RADAR and Software-Defined Radio

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Structured optimization in Julia

A Julia package for representing infinite-dimensional arrays

Bayesian Generalized Linear models using `@formula` syntax.

A simple tool for simulating trapped ion systems

Generalized mean-field equations in open quantum systems

Turing + Makie = Turkie

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

Integrated Assessment Modeling Framework

Fast matrix multiplication and division for Toeplitz matrices in Julia

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

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

A collection of tools for chemometrics and machine learning written in Julia.

A package for Gaussian random field generation in Julia

Base functionality library for QuantumOptics.jl

Julia package for solving singular integral equations

A General Approach to Seismic Inversion Problems using Automatic Differentiation

A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

Nonlinear optical pulse propagator

Fast multidimensional Chebyshev interpolation and regression in Julia

Economic modeling in Julia

A Julia package for the Fourier analysis of Multivariate Data in the Frequency and Time-Frequency Domain

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

Boundary Element Analysis and Simulation Toolkit

Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems