Modular/extensible Julia library for Computer Adaptive Tests

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Implementations for some distributions using a consistent API and AD-friendly code.

Runge-Kutta Methods in Julia

An MPI-parallel implementation of the Healpix tessellation scheme in Julia

FMIBase.jl provides the foundation for the Julia packages FMIImport.jl and FMIExport.jl.

Economic simulation tools

NeuroFlow is an experimental deep learning framework written in Julia.

Julia wrapper for the Data Retriever software

Computation of homoclinic (heteroclinic) orbits.

Modal decision trees, but it's sequential covering.

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Algorithm for motif detection in Categorical time-series.

Point patterns for the GeoStats.jl framework

Table of Isotopes for Julians. Interoperable with `PeriodicTable.jl`

Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators

This repo is for the final project for Comp541 Deep Learning class in Koc University.

Read and write IAEA phase space files

Nonlocal Electrostatics in Structured Solvents

A dynamically-structured matrix population model

🍃 coupled leaf gas-exchange model

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

MQLib wrapper for JuMP

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

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Beam implementation for JuliaEFM

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Network Hawkes processes in Julia.

Visualize your everysinglestreet challenge

Julia package of a fractional delay filter

🏔️⛷️ ManoptExamples.jl – A collection of research and tutorial example problems for Manopt.jl

A Julia package for solving Riemann–Hilbert problems

Julia package for phylogenetics based off of NewickTree.jl and the R packages ape, phytools, and castor

Download FRED data in Julia.

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

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A unified interface to generate various 1D basic and composite grids and their manipulation functions.

Goldfarb and Idnani quadratic programming solver

Library for common tools for solving PDEs with finite difference methods (FDM), finite volume methods (FVM), finite element methods (FEM), and psuedospectral methods in a way that integrates with the SciML Scientific Mechine Learning ecosystem