Julia library for deep reinforcement learning

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

Julia toolbox for underwater acoustic modeling

Embedded finite element methods in Julia

Gmsh generated meshes for Gridap

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

Signal analysis toolbox for Julia

A nearest neighbor search library with exact and approximate algorithms

A WebDriver / JSON Wire Protocol Binding Compatible with Selenium for the Julia Language.

Create ensembles of machine learning models from scikit-learn, caret, and julia

Computational graph representation of multiloop Feynman diagrams

Structure Preserving Machine Learning Models in Julia

Define material parameters, perform non-dimensionalization and provide computational routines for material parameters in geodynamic simulations

Implementations of single and multi-ellipsoid nested sampling

Flexible data augmentation library for machine and deep learning

Julia package for ecosystem simulation

Julia package for finding traffic user equilibrium flow

3D Visualization of mechanisms and URDFs using MeshCat.jl and RigidBodyDynamics.jl

A Petri net modeling framework for the Julia programming language

A suite of tools for solving Nonlinear Schrodinger equations via higher-order algorithms and Darboux transformations.

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Methods for computational information geometry

Elastic Full Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation

Unified contact simulaton and collision detection

SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit

Publication quality regression and statistical tables

Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.

Robotics library written in the Julia programming language

Convenient way to handle simple graphs and digraphs

Julia API to the Remarkable cloud

Easy interface for obtaining fits for 2D data

Examples of how to use the modeling capabilities developed under the Scalable Integrated Infrastructure Planning Initiative at NREL.

Comparing performance and results of mcmc options using Julia

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Fast 1D LTE stellar spectral synthesis

A PowerModels Extension for Security Constrained Optimization Problems

A Julia package for UI development

Julia Spiking Neural Network Simulator

A Julia package that efficiently creates representative datasets for machine learning approaches to AC optimal power flow

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data