Darcy flow and reservoir simulator based on Jutul.jl

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.

Definition of dynamical systems and integrators for DynamicalSystems.jl

Library supporting the ArrayInterface.jl strided array interface.

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

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

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

A foolproof way of doing ML with GUI elements.

Trajectory Optimization for Robot Arms

A few preconditioners for iterative solvers.

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

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.

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

Pseudo Likelihood Maximization for protein in Julia

Neuroimaging in Julia

Partitioning images into meaningful regions

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

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

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

Quantum Algorithms for solving differential equations

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Reachability analysis for closed-loop control systems in Julia

Image feature detection for the Julia language

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

Compressed storage for SNP data

Julia library for deep reinforcement learning

A nearest neighbor search library with exact and approximate algorithms

Fast, LoopVectorization.jl-based summary statistics

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