Code for cosmological SFB analysis.

Reliability-based optimization

Implementations of (soil) freezing characteristic curves, along with helpful tools for their optimization and inference, in Julia.

Test Cases for Regularized Optimization

Chron.jl + basin subsidence analysis

Port of Google's language-detection library to Julia.

Example environments and tools for the TrajectoryGamesBase interface.

Runge-Kutta Methods in Julia

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Multivariate, linear combinations of GPs and their derivatives

Basic Quantum Circuit Emulation Subroutine

Visualize your everysinglestreet challenge

Evidential Deep Learning Layers for Flux

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MPI based parallel for method of moments (MoM) and MLFMA (https://github.com/deltaeecs/MoM_AllinOne.jl.jl)

Implementation of the Gandhi, Navarro, Rievers (2020) production function estimator.

MQLib wrapper for JuMP

Package to simulate the operation of Storage Systems

Julia package of a fractional delay filter

Julia Package for Active Inference

Create grid mazes

Algorithms for combinatorial optimisation: exact and approximate, including a few LP formulations

Economic simulation tools

Julia implementation of Bouman et al.'s edge camera algorithm

Estimation of coalescence times between sequences.

Julia package for handling various wave-equations and (non-linear) eigenvalue problems

More zeros than you can shake a stick at

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WiNDC Build Stream created in Julia

A Julia wrapper for the PORTA polyhedral analysis software.

Wynn's Epsilon Algorithm for transforming symbolic SymPy expressions

An idealized atlantic

Fast forward simulations of extragalactic foregrounds

Simulating zonal flows on the β-plane.

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Tools for Visualization of Quantum Annealing

A Julia package for probability distributions member of the Exponential family

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

Manifolds for the natural parameters of members of the exponential family of distributions

This is an ODE solver that implements the quantized state system methods: An approach that builds the solution by updating the system variables independently.