Fast Fourier transforms of MPI-distributed Julia arrays

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

Modeling and Simulation of 3D systems

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Bayesian Generalized Linear models using `@formula` syntax.

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

A simple tool for simulating trapped ion systems

Generalized mean-field equations in open quantum systems

Global glacier model using Universal Differential Equations for climate-glacier interactions

Turing + Makie = Turkie

A comprehensive suite of coherent noise algorithms and composable tools for manipulating them.

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

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.

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

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

Distributed Julia arrays using the MPI protocol

Julia framework for spatial ecology - data types and utilities

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

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Plotting and interface tools for biology.

Distributed Data Parallel Training of Deep Neural Networks

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.

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

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

Time dependent variational principle (TDVP) of MPS based on ITensors.jl.

Ambient Noise Cross-Correlation in Julia

A workbench for Quantum Chemistry and Quantum Physics in Julia

A foolproof way of doing ML with GUI elements.

GPU integrations for Dagger.jl

An experimental package for loading and saving object in Python Pickle format.

Finds relationships between the parameters of a mathematical model

Logic Circuits from the Juice library

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

Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia