Survival analysis in Julia

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

Julia toolkit for open quantum system simulation.

Implementation of the Deep Q-learning algorithm to solve MDPs

A simple tool for simulating trapped ion systems

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

Simulation and visualization of articulated rigid body systems in Julia

Generalized mean-field equations in open quantum systems

Econometrics in Julia

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

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

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

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

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

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

Multistart optimization methods in Julia.

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

Rigorous function approximation using Taylor models in Julia

An open source model predictive control package for Julia.

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

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

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A General Approach to Seismic Inversion Problems using Automatic Differentiation

Atomic graph models for molecules and crystals in Julia

Model and solve optimal control problems 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

Automated Bayesian model discovery for time series data

Import, process and interpret geophysical data sets to be used in numerical models.

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

Julia backend for Plotly Dash

Use Optim to train Flux models and visualize loss landscapes

A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

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.

Nonlinear optical pulse propagator

Symbolic planners for problems and domains specified in PDDL.

Economic modeling in Julia