Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

Julia Animations and Visualizations

Agent-based modeling framework in Julia

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Grid-based approximation of partial differential equations in Julia

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Statistical plotting recipes for Plots.jl

Computational geometry in Julia

Molecular simulation in Julia

A Julia package for data clustering

Geometric Deep Learning for Flux

Finite element toolbox for Julia

GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

A Bayesian Analysis Toolkit in Julia

Causal inference, graphical models and structure learning in Julia

This library uses the LaTeX package pgfplots to produce plots.

Tools for the exploration of chaos and nonlinear dynamics

Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.

A package for binary and continuous, single and multi-material, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.

Implementations of the models from the Statistical Rethinking book with Turing.jl

Differentiable RayTracing in Julia

Algorithms for quantifying associations, independence testing and causal inference from data.

Algorithms for quantifying associations, independence testing and causal inference from data.

Convenience meta-package to load essential packages for statistics

Gaussian Process package based on data augmentation, sparsity and natural gradients

Perceptually Uniform Colour Maps for Julia

A package for time series data processing, classification, clustering, and prediction.

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Julia package for the construction of quantum lattice systems.

Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis

Parallel distributed-memory version of Gridap

3D computer vision library in Julia

MagNav: airborne Magnetic anomaly Navigation

MADS: Model Analysis & Decision Support

Large scale Gaussian Mixture Models

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.

Hidden Markov Models for Julia.

Dive deeper into your data with interactive graphics