Darcy flow and reservoir simulator based on Jutul.jl

Atomic graph models for molecules and crystals in Julia

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

Choo-choo

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

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.

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

Robust and optimal design and analysis of linear control systems

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.

Library supporting the ArrayInterface.jl strided array interface.

Definition of dynamical systems and integrators for DynamicalSystems.jl

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

-

A Julia package for solving nonlinear differential equations using the harmonic balance method.

The automatically differentiable and GPU-compatible toolkit for CMB analysis.

Trajectory Optimization for Robot Arms

A foolproof way of doing ML with GUI elements.

A few preconditioners for iterative solvers.

Logic Circuits from the Juice library

Finds relationships between the parameters of a mathematical model

Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.

C-code generation and an interface between ControlSystems.jl and SymPy.jl

Neuroimaging in Julia

Pseudo Likelihood Maximization for protein in Julia

A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)

Partitioning images into meaningful regions

Measure the distance between two spectra/signals using optimal transport and related metrics

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

-

Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)

Quantum Algorithms for solving differential equations

-

Reachability analysis for closed-loop control systems in Julia

Compressed storage for SNP data

Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations

-

Image feature detection for the Julia language

Julia library for deep reinforcement learning

Fast, LoopVectorization.jl-based summary statistics

Boundary value problem (BVP) solvers for scientific machine learning (SciML)