Different methods for pose recovery.

Geospatial transforms for the GeoStats.jl framework

Package to compute Amoebas in 2 and 3 variables.

A Julia package for generating Secret Santa matchings and emailing participants

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Analytic routines for power system simulation results in the Sienna ecosystem

Geostatistical functions for the GeoStats.jl framework

Tools for Visualization of Quantum Annealing

Geostatistical learning solvers for the GeoStats.jl framework

This package provides access to the QuasiGrad solver, developed for the 3rd ARPA-E Grid Optimization (GO) Challenge.

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A JuMP extension for conducting flexibility analysis.

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Models of gas-phase atmospheric chemistry and related processes

Dyadic kernel density estimation in Julia

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

Tool for assigning students from a large class (e.g. Senior Design) to projects based on their preferences, skills, and small friend groups

Standard random phase approximation (particle-hole channel) for quantum lattice system.

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Julia wrapper of LoopTools for computing one-loop integrals

Dynamical systems identification

Advanced process control for AutomationLabs

One package to train them all

All the interface functions and structs of Nonconvex.jl.

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A Julia package containing GNC algorithms for autonomous aerospace systems

Package allowing tensor calculations in arbitrary coordinate systems.

An implementation of the TOBS algorithm as a heuristic for binary nonlinear programming

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A Julia package to provide RML imaging methods for high-resolution radio interferometry

WiNDC Build Stream created in Julia

Julia package for decomposing doubly stochastic matrices

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Permutation tests for MixedModels.jl

A Julia solver of Ring Star Problem variants

Julia package for Light Based Tomographic Volumetric Additive Manufacturing.

A Julia wrapper for the PORTA polyhedral analysis software.

Stability-constrained Power Flow Models

A Julia/JuMP Package for Petroleum Network Optimization

A Julia package for Stochastic Block Models