An open-source framework written in Julia for global integrated assessment models.

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

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

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

Base functionality library for QuantumOptics.jl

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

Visualization for Flux.Chain neural networks

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

Rigorous function approximation using Taylor models in Julia

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An open source model predictive control package for Julia.

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Atomic graph models for molecules and crystals in Julia

Darcy flow and reservoir simulator based on Jutul.jl

Model and solve optimal control problems in Julia

Choo-choo

Conic Augmented Lagrangian Interior-Point SOlver

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Distributed Julia arrays using the MPI protocol

Import, process and interpret geophysical data sets to be used in numerical models.

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

Use Optim to train Flux models and visualize loss landscapes

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

A high functioning package detective.

Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.

A Power Flow Solver for GPUs in Julia

Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)

Distributed Data Parallel Training of Deep Neural Networks

Plotting and interface tools for biology.

A static method overlay and optimization tool with configurable code generation and execution.

Segment-anything wrapped for Julia

Differentiable trajectory optimization in Julia.

Robust and optimal design and analysis of linear control systems

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

Julia interface to AMD/Radeon GPUs

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Makie.jl recipes for visualization of Meshes.jl

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

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