URDF and meshes for the NASA Valkyrie robot

Computing the Riemann Theta function in Julia

Computation and numerical approximation of survival signatures.

Chron.jl + basin subsidence analysis

Package to simulate the operation of Storage Systems

A Julia-powered toolkit for material point method

A lightweight, efficient package for simulating stochastic processes on various domains.

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Stability Tools for Threshold Vector Autoregressive Models

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

Solve Sudoku puzzles using integer programming

Interface between Stopping.jl and other packages

A lightweight Julia package to plot a density function for a given set of values with known uncertainties.

Package to help connect Julia with the SymPy library of Python

Example environments and tools for the TrajectoryGamesBase interface.

Thin-plate splines in Julia

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Switched-On Bayes.

Wynn's Epsilon Algorithm for transforming symbolic SymPy expressions

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Probabilistic inference using the symbolic method.

An idealized atlantic

Julia package for Light Based Tomographic Volumetric Additive Manufacturing.

Package allowing tensor calculations in arbitrary coordinate systems.

Simulating zonal flows on the β-plane.

Guaranteed parallel root finding focused on speed and reliability

WiNDC Build Stream created in Julia

Fast forward simulations of extragalactic foregrounds

A Julia wrapper for the PORTA polyhedral analysis software.

Reverse correlation using linear regression and compressed sensing for uncovering the psychoacoustic tinnitus spectrum

The Number Line is a common teaching tool for Math classes (K-12)

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Utilities for turning DataFrames into panel-like data structures for use in causal inference models

Read Andor SIF file in Julia

A package to calculate typical pair correlations, such as Percus-Yevick, and to calculate specific particle configurations from a given pair correlation.

Generate nice reports from MCMC-based approximations

Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !

A pure-julia Sod shock tube problem