Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

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Write flame graphs to SVG format and explore them interactively in Jupyter, Pluto, etc.

Analysis of profiling data using trees

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Computational graph representation of multiloop Feynman diagrams

Logging sinks and utilites for interactive terminals

Implementations of single and multi-ellipsoid nested sampling

Methods for computational information geometry

Common functions in actuarial and financial routines

Utility package for Sienna's simulation infrastructure

A simple 2D game engine written in Julia

Comparing performance and results of mcmc options using Julia

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

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An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

A Norg parser in Julia

Composable contracts, models, and functions that allow for modeling of both simple and complex financial instruments

A package to generate visualizations from PowerSimulations.jl results. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Implementations of parallel tempering algorithms to augment samplers with tempering capabilities

Octofitter is a Julia package for performing Bayesian inference against direct images of exoplanets, relative astrometry, and astrometric acceleration of the host star.

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

Metadata reader in Julia, wrapper over LibExif

Vega-lite front end for the Julia profiler

Unitary and Lindbladian evolution in Julia

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A unified interface for simulating and evaluating sequential sampling models in Julia.

Common types and interfaces for probabilistic programming

Benchmark tools for solvers

Random Integrators for many-body quantum systems

Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Simple, lightweight, beautiful graph rendering in VSCode and SVG.

The Julia implementation of the generalised hierarchical Gaussian filter

Tools for working with spatial fields discretized on or immersed in Cartesian grids

Graphical tools for Bayesian inference and posterior predictive checks

A package to calibrate atmospheric turbulence and convection parameterizations using gradient-free ensemble Kalman methods

Methods to generate matrix representations of power systems matrices