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

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

Bayesian Generalized Linear models using `@formula` syntax.

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

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

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

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

Base functionality library for QuantumOptics.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

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Plotting and interface tools for biology.

Distributed Data Parallel Training of Deep Neural Networks

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

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

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.

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

A workbench for Quantum Chemistry and Quantum Physics in Julia

Ambient Noise Cross-Correlation in Julia

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

A foolproof way of doing ML with GUI elements.

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

GPU integrations for Dagger.jl

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

YOLO Object Detection in Julia

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

Renamed to Avalon.jl

Julia package for benchmarking a system

No need to train, he's a smooth operator

A full end-to-end modular software suite for radiative transfer and related atmospheric analysis

Julia library for deep reinforcement learning