Estimation of calibration errors.

Model the propagation of VLF radio waves in the Earth-ionosphere waveguide.

MPS and MPO methods based on ITensor (ITensors.jl)

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DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays

Package that provides a integrated Julia workflow for molecular dyanmics simulations.

Julia code for nuclear shell-model calculations

Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and providing an API similar to MATLAB's pdepe

A new lightweight package for Deep Learning with Julia

A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages

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🧊 Coupled and stand-alone simulations of sea ice for Earth system modeling

The base package for Optimization.jl, containing the structs and basic functions for it.

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Ecosystem for writing partial differential equation solvers

Learning Dynamic Movement Primitives in Julia

Package to build Cases for Power Systems Modeling

Julia Wrappers for SoapySDR

Structure-preserving numerical methods for dispersive shallow water models

Train a spiking recurrent neural network

A Julia client for the JuliaHub platform

Interactive examples for different geodynamic problems

Julia implementation of the bond graph framework

Reduced basis methods for parametrised eigenproblems

Modern Hopfield layer implementations in Julia

CUDA integration for the NNlib API

Propagate waves efficiently, optically, physically, differentiably with Julia Lang.

A small step for dynamics, a giant leap for SciML

Julia dashboard for analysis of cryptocurrency market data

EHT Image domain analysis through template matching.

Symbolics-based function property propagation for optimization

Storing and accessing large Julia array locally or in cloud storage without server.

Library for the numerical simulation of open quantum systems.

A generic and fast solver of mode-coupling theory-like integrodifferential equations

A Julia package for Interpretable Compositional Networks (ICN), a variant of neural networks, allowing the user to get interpretable results, unlike regular artificial neural networks.

Julia client for connecting to FHIR (Fast Healthcare Interoperability Resources) servers and building SMART on FHIR applications

Exact reduction of ODE models via linear transformations

Simulations of cosmological scalar fields

Drift diffusion simulator for semiconductor devices

Julia interface for MIPLearn, an extensible framework for Learning-Enhanced Mixed-Integer Optimization