Integrated Assessment Modeling Framework

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

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Building and using pyramids for large raster data

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Preheat your MCMC

Kite and tether models for the simulation of kite power systems

Basic functionality for EarthSciML system

Sampling from intractable distributions, with support for distributed and parallel methods

Models of gas-phase atmospheric chemistry and related processes

A Julia package for Bayesian quantum state tomography

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A Julia package for statistical inference, data manipulation and visualization of phylogenetic networks

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

Symbolic programming for the next generation of numerical software

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Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

EDS spectrum analysis tools within the NeXL toolset

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

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

EPMA matrix correction algorithms

Quantum dynamics simulation environment

Bayesian inference with probabilistic programming.

Tools for handling correlated uncertainties in Julia

Core algorithms and data for X-ray microanalysis calculations

MetaCommunityMetrics is a collection of tools and utilities for analyzing meta-communities in Julia. The current version is compatible with julia version 1.9.3.

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.

A full stack simulator of quantum hardware, from the low-level analog physics to high-level network dynamics. Includes discrete event simulator, symbolic representation for quantum object, and works with many backend simulators.

A framework for out-of-core and parallel execution

[WIP] QEDevents.jl: Monte-Carlo event generation for QED.jl

Explainable AI in Julia.

EHT Image domain analysis through template matching.

Implementation of variational Bayes inference algorithms

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Julia package for fitting regularized linear mixed-effect models on high-dimensional omics data.

Play atmospheric modelling like it's LEGO.

Empirical Bayes estimation and inference in Julia.

BOSS (Bayesian Optimization with Semiparametric Surrogate)