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Defining Geographical Regions for Geoscience and Climate

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Accelerate your ML research using pre-built Deep Learning Models with Lux

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Just the Comrade Models

Building and using pyramids for large raster data

Julia bindings for the Enzyme automatic differentiator

Preheat your MCMC

JulGame is a 2D game engine based on the Julia programming language with the help of SDL2.

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!

Kite and tether models for the simulation of kite power systems

Basic Geometry Types

Clima's Land Model

Clima's Land Model

ClimaCoupler: bringing atmosphere, land, and ocean together

Basic functionality for EarthSciML system

Incompressible Navier-Stokes solver

Models of gas-phase atmospheric chemistry and related processes

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A Julia package for statistical inference, data manipulation and visualization of phylogenetic networks

Molecular backbone geometry utilities

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

CliMA model dycore

🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

A CPU- and GPU-friendly package for solving ordinary differential equations

Symbolic programming for the next generation of numerical software

Computational geometry in Julia

Symbolic expressions, rewriting and simplification

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Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

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EDS spectrum analysis tools within the NeXL toolset

Fundamentals of the control-toolbox ecosystem

Model and solve optimal control problems in Julia

A package with general tools for working with higher-dimensional tensor networks based on ITensor.