Modeling and Simulation of 3D systems

Julia toolkit for open quantum system simulation.

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Optimisers.jl defines many standard optimisers and utilities for learning loops.

Implementation of the Deep Q-learning algorithm to solve MDPs

Simulation and visualization of articulated rigid body systems in Julia

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

Turing + Makie = Turkie

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

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

Visualization for Flux.Chain neural networks

An open source model predictive control package for Julia.

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Atomic graph models for molecules and crystals in Julia

Choo-choo

Use Optim to train Flux models and visualize loss landscapes

Distributed Data Parallel Training of Deep Neural Networks

Differentiate python calls from Julia

Robust and optimal design and analysis of linear control systems

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

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

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

A foolproof way of doing ML with GUI elements.

Trajectory Optimization for Robot Arms

Flux's ex AD

Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.

Finds relationships between the parameters of a mathematical model

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

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

Generic UNet implementation written in pure Julia, based on Flux.jl

A Julia package for robust neural networks.

A framework for composing and simulating multiphysics systems

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

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

Machine learning with Mill.jl for JSON documents